Articles

It ain’t what you don’t know that gets you into trouble. It’s what you know for sure that just ain’t so. – Josh Billings
 

Some patients believe COVID-19 is a hoax. Many think there’s truth to the rumor that Bill Gates is behind it all and intends to use COVID vaccinations as a devious way to implant microchips in us. He will then, of course, use the new 5G towers to track us all (although what Gates will do with the information that I was shopping at a Trader Joe’s yesterday is yet unknown).

It’s easy to dismiss patients with these beliefs as nuts or dumb or both. They’re neither, they’re just human. Conspiracy theories have been shared from the first time two humans met. They are, after all, simply hypotheses to explain an experience that’s difficult to understand. Making up a story to explain things feels safer than living with the unknown, and so we do. Our natural tendency to be suspicious makes conspiracy hypotheses more salient and more likely to spread. The pandemic itself is exacerbating this problem: People are alone and afraid, and dependent on social media for connection. Add a compelling story about a nefarious robber baron plotting to exploit us and you’ve got the conditions for conspiracy theories to explode like wind-driven wildfires. Astonishingly, a Pew Research poll showed 36% of Americans surveyed who have heard something about it say the Bill Gates cabal theory is “probably” or “definitely” true.

That many patients fervently believe conspiracy theories poses several problems for us. First, when a vaccine does become available, some patients will refuse to be vaccinated. The consequences to their health and the health of the community are grave. Secondly, whenever patients have cause to distrust doctors, it makes our jobs more challenging. If they don’t trust us on vaccines, it can spread to not trusting us about wearing masks or sunscreens or taking statins. Lastly, it’s near impossible to have a friendly conversation with a patient carrying forth on why Bill Gates is not in jail or how I’m part of the medical-industrial complex enabling him. Sheesh.

It isn’t their fault. The underpinning of these beliefs can be understood as a cognitive bias. In this case, an idea that is easy to imagine or recall is believed to be true more than an idea that is complex and difficult. Understanding viral replication and R0 numbers or viral vectors and protein subunit vaccines is hard. Imagining a chip being injected into your arm is easy. And, as behavioral economist Daniel Kahneman opined, we humans possess an almost unlimited ability to ignore our ignorance. We physicians can help in a way that friends and family members can’t. Here are ways you can help patients who believe in conspiracy theories:

Approach this problem like any other infirmity, with compassion. No one wants to drink too much and knock out their teeth falling off a bike. It was a mistake. Similarly, when people are steeped in self-delusion, it’s not a misdeed, it’s a lapse. Be kind and respectful.

Meet them where they are. It might be helpful to state with sincerity: So you feel that there is a government plot to use COVID to track us? Have you considered that might not be true?

Have the conversation in private. Harder even than being wrong is being publicly wrong.

Try the Socratic method. (We’re pretty good at this from teaching students and residents.) Conspiracy-believing patients have the illusion of knowledge, yet, like students, it’s often easy to show them their gaps. Do so gently by leading them to discover for themselves.

Stop when you stall. You cannot change someone’s mind by dint of force. However, you surely can damage your relationship if you keep pushing them.

Don’t worry if you fail to break through; you might yet have moved them a bit. This might make it possible for them to discover the truth later. Or, you could simply switch to explain what holds up the ground we walk upon. There’s rumor we’re supported on the backs of turtles, all the way down. Maybe Bill Gates is feeding them.
 

Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on Twitter. Write to him at dermnews@mdedge.com.

It ain’t what you don’t know that gets you into trouble. It’s what you know for sure that just ain’t so. – Josh Billings
 

Some patients believe COVID-19 is a hoax. Many think there’s truth to the rumor that Bill Gates is behind it all and intends to use COVID vaccinations as a devious way to implant microchips in us. He will then, of course, use the new 5G towers to track us all (although what Gates will do with the information that I was shopping at a Trader Joe’s yesterday is yet unknown).

It’s easy to dismiss patients with these beliefs as nuts or dumb or both. They’re neither, they’re just human. Conspiracy theories have been shared from the first time two humans met. They are, after all, simply hypotheses to explain an experience that’s difficult to understand. Making up a story to explain things feels safer than living with the unknown, and so we do. Our natural tendency to be suspicious makes conspiracy hypotheses more salient and more likely to spread. The pandemic itself is exacerbating this problem: People are alone and afraid, and dependent on social media for connection. Add a compelling story about a nefarious robber baron plotting to exploit us and you’ve got the conditions for conspiracy theories to explode like wind-driven wildfires. Astonishingly, a Pew Research poll showed 36% of Americans surveyed who have heard something about it say the Bill Gates cabal theory is “probably” or “definitely” true.

That many patients fervently believe conspiracy theories poses several problems for us. First, when a vaccine does become available, some patients will refuse to be vaccinated. The consequences to their health and the health of the community are grave. Secondly, whenever patients have cause to distrust doctors, it makes our jobs more challenging. If they don’t trust us on vaccines, it can spread to not trusting us about wearing masks or sunscreens or taking statins. Lastly, it’s near impossible to have a friendly conversation with a patient carrying forth on why Bill Gates is not in jail or how I’m part of the medical-industrial complex enabling him. Sheesh.

It isn’t their fault. The underpinning of these beliefs can be understood as a cognitive bias. In this case, an idea that is easy to imagine or recall is believed to be true more than an idea that is complex and difficult. Understanding viral replication and R0 numbers or viral vectors and protein subunit vaccines is hard. Imagining a chip being injected into your arm is easy. And, as behavioral economist Daniel Kahneman opined, we humans possess an almost unlimited ability to ignore our ignorance. We physicians can help in a way that friends and family members can’t. Here are ways you can help patients who believe in conspiracy theories:

Approach this problem like any other infirmity, with compassion. No one wants to drink too much and knock out their teeth falling off a bike. It was a mistake. Similarly, when people are steeped in self-delusion, it’s not a misdeed, it’s a lapse. Be kind and respectful.

Meet them where they are. It might be helpful to state with sincerity: So you feel that there is a government plot to use COVID to track us? Have you considered that might not be true?

Have the conversation in private. Harder even than being wrong is being publicly wrong.

Try the Socratic method. (We’re pretty good at this from teaching students and residents.) Conspiracy-believing patients have the illusion of knowledge, yet, like students, it’s often easy to show them their gaps. Do so gently by leading them to discover for themselves.

Stop when you stall. You cannot change someone’s mind by dint of force. However, you surely can damage your relationship if you keep pushing them.

Don’t worry if you fail to break through; you might yet have moved them a bit. This might make it possible for them to discover the truth later. Or, you could simply switch to explain what holds up the ground we walk upon. There’s rumor we’re supported on the backs of turtles, all the way down. Maybe Bill Gates is feeding them.
 

Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on Twitter. Write to him at dermnews@mdedge.com.

It ain’t what you don’t know that gets you into trouble. It’s what you know for sure that just ain’t so. – Josh Billings
 

Some patients believe COVID-19 is a hoax. Many think there’s truth to the rumor that Bill Gates is behind it all and intends to use COVID vaccinations as a devious way to implant microchips in us. He will then, of course, use the new 5G towers to track us all (although what Gates will do with the information that I was shopping at a Trader Joe’s yesterday is yet unknown).

It’s easy to dismiss patients with these beliefs as nuts or dumb or both. They’re neither, they’re just human. Conspiracy theories have been shared from the first time two humans met. They are, after all, simply hypotheses to explain an experience that’s difficult to understand. Making up a story to explain things feels safer than living with the unknown, and so we do. Our natural tendency to be suspicious makes conspiracy hypotheses more salient and more likely to spread. The pandemic itself is exacerbating this problem: People are alone and afraid, and dependent on social media for connection. Add a compelling story about a nefarious robber baron plotting to exploit us and you’ve got the conditions for conspiracy theories to explode like wind-driven wildfires. Astonishingly, a Pew Research poll showed 36% of Americans surveyed who have heard something about it say the Bill Gates cabal theory is “probably” or “definitely” true.

That many patients fervently believe conspiracy theories poses several problems for us. First, when a vaccine does become available, some patients will refuse to be vaccinated. The consequences to their health and the health of the community are grave. Secondly, whenever patients have cause to distrust doctors, it makes our jobs more challenging. If they don’t trust us on vaccines, it can spread to not trusting us about wearing masks or sunscreens or taking statins. Lastly, it’s near impossible to have a friendly conversation with a patient carrying forth on why Bill Gates is not in jail or how I’m part of the medical-industrial complex enabling him. Sheesh.

It isn’t their fault. The underpinning of these beliefs can be understood as a cognitive bias. In this case, an idea that is easy to imagine or recall is believed to be true more than an idea that is complex and difficult. Understanding viral replication and R0 numbers or viral vectors and protein subunit vaccines is hard. Imagining a chip being injected into your arm is easy. And, as behavioral economist Daniel Kahneman opined, we humans possess an almost unlimited ability to ignore our ignorance. We physicians can help in a way that friends and family members can’t. Here are ways you can help patients who believe in conspiracy theories:

Approach this problem like any other infirmity, with compassion. No one wants to drink too much and knock out their teeth falling off a bike. It was a mistake. Similarly, when people are steeped in self-delusion, it’s not a misdeed, it’s a lapse. Be kind and respectful.

Meet them where they are. It might be helpful to state with sincerity: So you feel that there is a government plot to use COVID to track us? Have you considered that might not be true?

Have the conversation in private. Harder even than being wrong is being publicly wrong.

Try the Socratic method. (We’re pretty good at this from teaching students and residents.) Conspiracy-believing patients have the illusion of knowledge, yet, like students, it’s often easy to show them their gaps. Do so gently by leading them to discover for themselves.

Stop when you stall. You cannot change someone’s mind by dint of force. However, you surely can damage your relationship if you keep pushing them.

Don’t worry if you fail to break through; you might yet have moved them a bit. This might make it possible for them to discover the truth later. Or, you could simply switch to explain what holds up the ground we walk upon. There’s rumor we’re supported on the backs of turtles, all the way down. Maybe Bill Gates is feeding them.
 

Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on Twitter. Write to him at dermnews@mdedge.com.

For children with COVID-19, rates of hospitalization, ICU admission, and ventilator use were similar to those of children with influenza, but rates differed in other respects, according to results of a study published online Sept. 11 in JAMA Network Open.

As winter approaches, distinguishing patients with COVID-19 from those with influenza will become a problem. To assist with that, Xiaoyan Song, PhD, director of the office of infection control and epidemiology at Children’s National Hospital in Washington, D.C., and colleagues investigated commonalities and differences between the clinical symptoms of COVID-19 and influenza in children.

“Distinguishing COVID-19 from flu and other respiratory viral infections remains a challenge to clinicians. Although our study showed that patients with COVID-19 were more likely than patients with flu to report fever, gastrointestinal, and other clinical symptoms at the time of diagnosis, the two groups do have many overlapping clinical symptoms,” Dr. Song said. “Until future data show us otherwise, clinicians need to prepare for managing coinfections of COVID-19 with flu and/or other respiratory viral infections in the upcoming flu season.”

The retrospective cohort study included 315 children diagnosed with laboratory-confirmed COVID-19 between March 25 and May 15, 2020, and 1,402 children diagnosed with laboratory-confirmed seasonal influenza A or influenza B between Oct. 1, 2019, and June 6, 2020, at Children’s National Hospital. The investigation excluded asymptomatic patients who tested positive for COVID-19.

Patients with COVID-19 and patients with influenza were similar with respect to rates of hospitalization (17% vs. 21%; odds ratio, 0.8; 95% confidence interval, 0.6-1.1; P = .15), admission to the ICU (6% vs. 7%; OR, 0.8; 95% CI, 0.5-1.3; P = .42), and use of mechanical ventilation (3% vs. 2%; OR, 1.5; 95% CI, 0.9-2.6; P =.17).

The difference in the duration of ventilation for the two groups was not statistically significant. None of the patients who had COVID-19 or influenza B died, but two patients with influenza A did.

No patients had coinfections, which the researchers attribute to the mid-March shutdown of many schools, which they believe limited the spread of seasonal influenza.

Patients who were hospitalized with COVID-19 were older (median age, 9.7 years; range, 0.06-23.2 years) than those hospitalized with either type of influenza (median age, 4.2 years; range, 0.04-23.1). Patients older than 15 years made up 37% of patients with COVID-19 but only 6% of those with influenza.

Among patients hospitalized with COVID-19, 65% had at least one underlying medical condition, compared with 42% of those hospitalized for either type of influenza (OR, 2.6; 95% CI, 1.4-4.7; P = .002).

The most common underlying condition was neurologic problems from global developmental delay or seizures, identified in 11 patients (20%) hospitalized with COVID-19 and in 24 patients (8%) hospitalized with influenza (OR, 2.8; 95% CI, 1.3-6.2; P = .002). There was no significant difference between the two groups with respect to a history of asthma, cardiac disease, hematologic disease, and cancer.

For both groups, fever and cough were the most frequently reported symptoms at the time of diagnosis. However, more patients hospitalized with COVID-19 reported fever (76% vs. 55%; OR, 2.6; 95% CI, 1.4-5.1; P = 01), diarrhea or vomiting (26% vs. 12%; OR, 2.5; 95% CI, 1.2-5.0; P = .01), headache (11% vs. 3%; OR, 3.9; 95% CI, 1.3-11.5; P = .01), myalgia (22% vs. 7%; OR, 3.9; 95% CI, 1.8-8.5; P = .001), or chest pain (11% vs. 3%; OR, 3.9; 95% CI, 1.3-11.5; P = .01).

The researchers found no statistically significant differences between the two groups in rates of cough, congestion, sore throat, or shortness of breath.

Comparison of the symptom spectrum between COVID-19 and flu differed with respect to influenza type. More patients with COVID-19 reported fever, cough, diarrhea and vomiting, and myalgia than patients hospitalized with influenza A. But rates of fever, cough, diarrhea or vomiting, headache, or chest pain didn’t differ significantly in patients with COVID-19 and those with influenza B.

Larry K. Kociolek, MD, medical director of infection prevention and control at Ann and Robert H. Lurie Children’s Hospital of Chicago, noted the lower age of patients with flu. “Differentiating the two infections, which is difficult if not impossible based on symptoms alone, may have prognostic implications, depending on the age of the child. Because this study was performed outside peak influenza season, when coinfections would be less likely to occur, we must be vigilant about the potential clinical implications of influenza and SARS-CoV-2 coinfection this fall and winter.”

Clinicians will still have to use a combination of symptoms, examinations, and testing to distinguish the two diseases, said Aimee Sznewajs, MD, medical director of the pediatric hospital medicine department at Children’s Minnesota, Minneapolis. “We will continue to test for influenza and COVID-19 prior to hospitalizations and make decisions about whether to hospitalize based on other clinical factors, such as dehydration, oxygen requirement, and vital sign changes.”

Dr. Sznewajs stressed the importance of maintaining public health strategies, including “ensuring all children get the flu vaccine, encouraging mask wearing and hand hygiene, adequate testing to determine which virus is present, and other mitigation measures if the prevalence of COVID-19 is increasing in the community.”

Dr. Song reiterated those points, noting that clinicians need to make the most of the options they have. “Clinicians already have many great tools on hand. It is extremely important to get the flu vaccine now, especially for kids with underlying medical conditions. Diagnostic tests are available for both COVID-19 and flu. Antiviral treatment for flu is available. Judicious use of these tools will protect the health of providers, kids, and well-being at large.”

The authors noted several limitations for the study, including its retrospective design, that the data came from a single center, and that different platforms were used to detect the viruses.

A version of this article originally appeared on Medscape.com.

For children with COVID-19, rates of hospitalization, ICU admission, and ventilator use were similar to those of children with influenza, but rates differed in other respects, according to results of a study published online Sept. 11 in JAMA Network Open.

As winter approaches, distinguishing patients with COVID-19 from those with influenza will become a problem. To assist with that, Xiaoyan Song, PhD, director of the office of infection control and epidemiology at Children’s National Hospital in Washington, D.C., and colleagues investigated commonalities and differences between the clinical symptoms of COVID-19 and influenza in children.

“Distinguishing COVID-19 from flu and other respiratory viral infections remains a challenge to clinicians. Although our study showed that patients with COVID-19 were more likely than patients with flu to report fever, gastrointestinal, and other clinical symptoms at the time of diagnosis, the two groups do have many overlapping clinical symptoms,” Dr. Song said. “Until future data show us otherwise, clinicians need to prepare for managing coinfections of COVID-19 with flu and/or other respiratory viral infections in the upcoming flu season.”

The retrospective cohort study included 315 children diagnosed with laboratory-confirmed COVID-19 between March 25 and May 15, 2020, and 1,402 children diagnosed with laboratory-confirmed seasonal influenza A or influenza B between Oct. 1, 2019, and June 6, 2020, at Children’s National Hospital. The investigation excluded asymptomatic patients who tested positive for COVID-19.

Patients with COVID-19 and patients with influenza were similar with respect to rates of hospitalization (17% vs. 21%; odds ratio, 0.8; 95% confidence interval, 0.6-1.1; P = .15), admission to the ICU (6% vs. 7%; OR, 0.8; 95% CI, 0.5-1.3; P = .42), and use of mechanical ventilation (3% vs. 2%; OR, 1.5; 95% CI, 0.9-2.6; P =.17).

The difference in the duration of ventilation for the two groups was not statistically significant. None of the patients who had COVID-19 or influenza B died, but two patients with influenza A did.

No patients had coinfections, which the researchers attribute to the mid-March shutdown of many schools, which they believe limited the spread of seasonal influenza.

Patients who were hospitalized with COVID-19 were older (median age, 9.7 years; range, 0.06-23.2 years) than those hospitalized with either type of influenza (median age, 4.2 years; range, 0.04-23.1). Patients older than 15 years made up 37% of patients with COVID-19 but only 6% of those with influenza.

Among patients hospitalized with COVID-19, 65% had at least one underlying medical condition, compared with 42% of those hospitalized for either type of influenza (OR, 2.6; 95% CI, 1.4-4.7; P = .002).

The most common underlying condition was neurologic problems from global developmental delay or seizures, identified in 11 patients (20%) hospitalized with COVID-19 and in 24 patients (8%) hospitalized with influenza (OR, 2.8; 95% CI, 1.3-6.2; P = .002). There was no significant difference between the two groups with respect to a history of asthma, cardiac disease, hematologic disease, and cancer.

For both groups, fever and cough were the most frequently reported symptoms at the time of diagnosis. However, more patients hospitalized with COVID-19 reported fever (76% vs. 55%; OR, 2.6; 95% CI, 1.4-5.1; P = 01), diarrhea or vomiting (26% vs. 12%; OR, 2.5; 95% CI, 1.2-5.0; P = .01), headache (11% vs. 3%; OR, 3.9; 95% CI, 1.3-11.5; P = .01), myalgia (22% vs. 7%; OR, 3.9; 95% CI, 1.8-8.5; P = .001), or chest pain (11% vs. 3%; OR, 3.9; 95% CI, 1.3-11.5; P = .01).

The researchers found no statistically significant differences between the two groups in rates of cough, congestion, sore throat, or shortness of breath.

Comparison of the symptom spectrum between COVID-19 and flu differed with respect to influenza type. More patients with COVID-19 reported fever, cough, diarrhea and vomiting, and myalgia than patients hospitalized with influenza A. But rates of fever, cough, diarrhea or vomiting, headache, or chest pain didn’t differ significantly in patients with COVID-19 and those with influenza B.

Larry K. Kociolek, MD, medical director of infection prevention and control at Ann and Robert H. Lurie Children’s Hospital of Chicago, noted the lower age of patients with flu. “Differentiating the two infections, which is difficult if not impossible based on symptoms alone, may have prognostic implications, depending on the age of the child. Because this study was performed outside peak influenza season, when coinfections would be less likely to occur, we must be vigilant about the potential clinical implications of influenza and SARS-CoV-2 coinfection this fall and winter.”

Clinicians will still have to use a combination of symptoms, examinations, and testing to distinguish the two diseases, said Aimee Sznewajs, MD, medical director of the pediatric hospital medicine department at Children’s Minnesota, Minneapolis. “We will continue to test for influenza and COVID-19 prior to hospitalizations and make decisions about whether to hospitalize based on other clinical factors, such as dehydration, oxygen requirement, and vital sign changes.”

Dr. Sznewajs stressed the importance of maintaining public health strategies, including “ensuring all children get the flu vaccine, encouraging mask wearing and hand hygiene, adequate testing to determine which virus is present, and other mitigation measures if the prevalence of COVID-19 is increasing in the community.”

Dr. Song reiterated those points, noting that clinicians need to make the most of the options they have. “Clinicians already have many great tools on hand. It is extremely important to get the flu vaccine now, especially for kids with underlying medical conditions. Diagnostic tests are available for both COVID-19 and flu. Antiviral treatment for flu is available. Judicious use of these tools will protect the health of providers, kids, and well-being at large.”

The authors noted several limitations for the study, including its retrospective design, that the data came from a single center, and that different platforms were used to detect the viruses.

A version of this article originally appeared on Medscape.com.

For children with COVID-19, rates of hospitalization, ICU admission, and ventilator use were similar to those of children with influenza, but rates differed in other respects, according to results of a study published online Sept. 11 in JAMA Network Open.

As winter approaches, distinguishing patients with COVID-19 from those with influenza will become a problem. To assist with that, Xiaoyan Song, PhD, director of the office of infection control and epidemiology at Children’s National Hospital in Washington, D.C., and colleagues investigated commonalities and differences between the clinical symptoms of COVID-19 and influenza in children.

“Distinguishing COVID-19 from flu and other respiratory viral infections remains a challenge to clinicians. Although our study showed that patients with COVID-19 were more likely than patients with flu to report fever, gastrointestinal, and other clinical symptoms at the time of diagnosis, the two groups do have many overlapping clinical symptoms,” Dr. Song said. “Until future data show us otherwise, clinicians need to prepare for managing coinfections of COVID-19 with flu and/or other respiratory viral infections in the upcoming flu season.”

The retrospective cohort study included 315 children diagnosed with laboratory-confirmed COVID-19 between March 25 and May 15, 2020, and 1,402 children diagnosed with laboratory-confirmed seasonal influenza A or influenza B between Oct. 1, 2019, and June 6, 2020, at Children’s National Hospital. The investigation excluded asymptomatic patients who tested positive for COVID-19.

Patients with COVID-19 and patients with influenza were similar with respect to rates of hospitalization (17% vs. 21%; odds ratio, 0.8; 95% confidence interval, 0.6-1.1; P = .15), admission to the ICU (6% vs. 7%; OR, 0.8; 95% CI, 0.5-1.3; P = .42), and use of mechanical ventilation (3% vs. 2%; OR, 1.5; 95% CI, 0.9-2.6; P =.17).

The difference in the duration of ventilation for the two groups was not statistically significant. None of the patients who had COVID-19 or influenza B died, but two patients with influenza A did.

No patients had coinfections, which the researchers attribute to the mid-March shutdown of many schools, which they believe limited the spread of seasonal influenza.

Patients who were hospitalized with COVID-19 were older (median age, 9.7 years; range, 0.06-23.2 years) than those hospitalized with either type of influenza (median age, 4.2 years; range, 0.04-23.1). Patients older than 15 years made up 37% of patients with COVID-19 but only 6% of those with influenza.

Among patients hospitalized with COVID-19, 65% had at least one underlying medical condition, compared with 42% of those hospitalized for either type of influenza (OR, 2.6; 95% CI, 1.4-4.7; P = .002).

The most common underlying condition was neurologic problems from global developmental delay or seizures, identified in 11 patients (20%) hospitalized with COVID-19 and in 24 patients (8%) hospitalized with influenza (OR, 2.8; 95% CI, 1.3-6.2; P = .002). There was no significant difference between the two groups with respect to a history of asthma, cardiac disease, hematologic disease, and cancer.

For both groups, fever and cough were the most frequently reported symptoms at the time of diagnosis. However, more patients hospitalized with COVID-19 reported fever (76% vs. 55%; OR, 2.6; 95% CI, 1.4-5.1; P = 01), diarrhea or vomiting (26% vs. 12%; OR, 2.5; 95% CI, 1.2-5.0; P = .01), headache (11% vs. 3%; OR, 3.9; 95% CI, 1.3-11.5; P = .01), myalgia (22% vs. 7%; OR, 3.9; 95% CI, 1.8-8.5; P = .001), or chest pain (11% vs. 3%; OR, 3.9; 95% CI, 1.3-11.5; P = .01).

The researchers found no statistically significant differences between the two groups in rates of cough, congestion, sore throat, or shortness of breath.

Comparison of the symptom spectrum between COVID-19 and flu differed with respect to influenza type. More patients with COVID-19 reported fever, cough, diarrhea and vomiting, and myalgia than patients hospitalized with influenza A. But rates of fever, cough, diarrhea or vomiting, headache, or chest pain didn’t differ significantly in patients with COVID-19 and those with influenza B.

Larry K. Kociolek, MD, medical director of infection prevention and control at Ann and Robert H. Lurie Children’s Hospital of Chicago, noted the lower age of patients with flu. “Differentiating the two infections, which is difficult if not impossible based on symptoms alone, may have prognostic implications, depending on the age of the child. Because this study was performed outside peak influenza season, when coinfections would be less likely to occur, we must be vigilant about the potential clinical implications of influenza and SARS-CoV-2 coinfection this fall and winter.”

Clinicians will still have to use a combination of symptoms, examinations, and testing to distinguish the two diseases, said Aimee Sznewajs, MD, medical director of the pediatric hospital medicine department at Children’s Minnesota, Minneapolis. “We will continue to test for influenza and COVID-19 prior to hospitalizations and make decisions about whether to hospitalize based on other clinical factors, such as dehydration, oxygen requirement, and vital sign changes.”

Dr. Sznewajs stressed the importance of maintaining public health strategies, including “ensuring all children get the flu vaccine, encouraging mask wearing and hand hygiene, adequate testing to determine which virus is present, and other mitigation measures if the prevalence of COVID-19 is increasing in the community.”

Dr. Song reiterated those points, noting that clinicians need to make the most of the options they have. “Clinicians already have many great tools on hand. It is extremely important to get the flu vaccine now, especially for kids with underlying medical conditions. Diagnostic tests are available for both COVID-19 and flu. Antiviral treatment for flu is available. Judicious use of these tools will protect the health of providers, kids, and well-being at large.”

The authors noted several limitations for the study, including its retrospective design, that the data came from a single center, and that different platforms were used to detect the viruses.

A version of this article originally appeared on Medscape.com.

Conventional chest x-rays combined with artificial intelligence (AI) can identify lung damage from COVID-19 and differentiate coronavirus patients from other patients, improving triage efforts, new research suggests.

The AI tool – developed by Jason Fleischer, PhD, and graduate student Mohammad Tariqul Islam, both from Princeton (N.J.) University – can distinguish COVID-19 patients from those with pneumonia or normal lung tissue with an accuracy of more than 95%.

“We were able to separate the COVID-19 patients with very high fidelity,” Dr. Fleischer said in an interview. “If you give me an x-ray now, I can say with very high confidence whether a patient has COVID-19.”

The diagnostic tool pinpoints patterns on x-ray images that are too subtle for even trained experts to notice. The precision of CT scanning is similar to that of the AI tool, but CT costs much more and has other disadvantages, said Dr. Fleischer, who presented his findings at the virtual European Respiratory Society International Congress 2020.

“CT is more expensive and uses higher doses of radiation,” he said. “Another big thing is that not everyone has tomography facilities – including a lot of rural places and developing countries – so you need something that’s on the spot.”

With machine learning, Dr. Fleischer analyzed 2,300 x-ray images: 1,018 “normal” images from patients who had neither pneumonia nor COVID-19, 1,011 from patients with pneumonia, and 271 from patients with COVID-19.

The AI tool uses a neural network to refine the number and type of lung features being tracked. A UMAP (Uniform Manifold Approximation and Projection) clustering algorithm then looks for similarities and differences in those images, he explained.

“We, as users, knew which type each x-ray was – normal, pneumonia positive, or COVID-19 positive – but the network did not,” he added.

Clinicians have observed two basic types of lung problems in COVID-19 patients: pneumonia that fills lung air sacs with fluid and dangerously low blood-oxygen levels despite nearly normal breathing patterns. Because treatment can vary according to type, it would be beneficial to quickly distinguish between them, Dr. Fleischer said.

The AI tool showed that there is a distinct difference in chest x-rays from pneumonia-positive patients and healthy people, he said. It also demonstrated two distinct clusters of COVID-19–positive chest x-rays: those that looked like pneumonia and those with a more normal presentation.

The fact that “the AI system recognizes something unique in chest x-rays from COVID-19–positive patients” indicates that the computer is able to identify visual markers for coronavirus, he explained. “We currently do not know what these markers are.”

Dr. Fleischer said his goal is not to replace physician decision-making, but to supplement it.

“I’m uncomfortable with having computers make the final decision,” he said. “They often have a narrow focus, whereas doctors have the big picture in mind.”

This AI tool is “very interesting,” especially in the context of expanding AI applications in various specialties, said Thierry Fumeaux, MD, from Nyon (Switzerland) Hospital. Some physicians currently disagree on whether a chest x-ray or CT scan is the better tool to help diagnose COVID-19.

“It seems better than the human eye and brain” to pinpoint COVID-19 lung damage, “so it’s very attractive as a technology,” Dr. Fumeaux said in an interview.

And AI can be used to supplement the efforts of busy and fatigued clinicians who might be stretched thin by large caseloads. “I cannot read 200 chest x-rays in a day, but a computer can do that in 2 minutes,” he said.

But Dr. Fumeaux offered a caveat: “Pattern recognition is promising, but at the moment I’m not aware of papers showing that, by using AI, you’re changing anything in the outcome of a patient.”

Ideally, Dr. Fleischer said he hopes that AI will soon be able to accurately indicate which treatments are most effective for individual COVID-19 patients. And the technology might eventually be used to help with treatment decisions for patients with asthma or chronic obstructive pulmonary disease, he noted.

But he needs more data before results indicate whether a COVID-19 patient would benefit from ventilator support, for example, and the tool can be used more widely. To contribute data or collaborate with Dr. Fleischer’s efforts, contact him.

“Machine learning is all about data, so you can find these correlations,” he said. “It would be nice to be able to use it to reassure a worried patient that their prognosis is good; to say that most of the people with symptoms like yours will be just fine.”

Dr. Fleischer and Dr. Fumeaux have declared no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Conventional chest x-rays combined with artificial intelligence (AI) can identify lung damage from COVID-19 and differentiate coronavirus patients from other patients, improving triage efforts, new research suggests.

The AI tool – developed by Jason Fleischer, PhD, and graduate student Mohammad Tariqul Islam, both from Princeton (N.J.) University – can distinguish COVID-19 patients from those with pneumonia or normal lung tissue with an accuracy of more than 95%.

“We were able to separate the COVID-19 patients with very high fidelity,” Dr. Fleischer said in an interview. “If you give me an x-ray now, I can say with very high confidence whether a patient has COVID-19.”

The diagnostic tool pinpoints patterns on x-ray images that are too subtle for even trained experts to notice. The precision of CT scanning is similar to that of the AI tool, but CT costs much more and has other disadvantages, said Dr. Fleischer, who presented his findings at the virtual European Respiratory Society International Congress 2020.

“CT is more expensive and uses higher doses of radiation,” he said. “Another big thing is that not everyone has tomography facilities – including a lot of rural places and developing countries – so you need something that’s on the spot.”

With machine learning, Dr. Fleischer analyzed 2,300 x-ray images: 1,018 “normal” images from patients who had neither pneumonia nor COVID-19, 1,011 from patients with pneumonia, and 271 from patients with COVID-19.

The AI tool uses a neural network to refine the number and type of lung features being tracked. A UMAP (Uniform Manifold Approximation and Projection) clustering algorithm then looks for similarities and differences in those images, he explained.

“We, as users, knew which type each x-ray was – normal, pneumonia positive, or COVID-19 positive – but the network did not,” he added.

Clinicians have observed two basic types of lung problems in COVID-19 patients: pneumonia that fills lung air sacs with fluid and dangerously low blood-oxygen levels despite nearly normal breathing patterns. Because treatment can vary according to type, it would be beneficial to quickly distinguish between them, Dr. Fleischer said.

The AI tool showed that there is a distinct difference in chest x-rays from pneumonia-positive patients and healthy people, he said. It also demonstrated two distinct clusters of COVID-19–positive chest x-rays: those that looked like pneumonia and those with a more normal presentation.

The fact that “the AI system recognizes something unique in chest x-rays from COVID-19–positive patients” indicates that the computer is able to identify visual markers for coronavirus, he explained. “We currently do not know what these markers are.”

Dr. Fleischer said his goal is not to replace physician decision-making, but to supplement it.

“I’m uncomfortable with having computers make the final decision,” he said. “They often have a narrow focus, whereas doctors have the big picture in mind.”

This AI tool is “very interesting,” especially in the context of expanding AI applications in various specialties, said Thierry Fumeaux, MD, from Nyon (Switzerland) Hospital. Some physicians currently disagree on whether a chest x-ray or CT scan is the better tool to help diagnose COVID-19.

“It seems better than the human eye and brain” to pinpoint COVID-19 lung damage, “so it’s very attractive as a technology,” Dr. Fumeaux said in an interview.

And AI can be used to supplement the efforts of busy and fatigued clinicians who might be stretched thin by large caseloads. “I cannot read 200 chest x-rays in a day, but a computer can do that in 2 minutes,” he said.

But Dr. Fumeaux offered a caveat: “Pattern recognition is promising, but at the moment I’m not aware of papers showing that, by using AI, you’re changing anything in the outcome of a patient.”

Ideally, Dr. Fleischer said he hopes that AI will soon be able to accurately indicate which treatments are most effective for individual COVID-19 patients. And the technology might eventually be used to help with treatment decisions for patients with asthma or chronic obstructive pulmonary disease, he noted.

But he needs more data before results indicate whether a COVID-19 patient would benefit from ventilator support, for example, and the tool can be used more widely. To contribute data or collaborate with Dr. Fleischer’s efforts, contact him.

“Machine learning is all about data, so you can find these correlations,” he said. “It would be nice to be able to use it to reassure a worried patient that their prognosis is good; to say that most of the people with symptoms like yours will be just fine.”

Dr. Fleischer and Dr. Fumeaux have declared no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Conventional chest x-rays combined with artificial intelligence (AI) can identify lung damage from COVID-19 and differentiate coronavirus patients from other patients, improving triage efforts, new research suggests.

The AI tool – developed by Jason Fleischer, PhD, and graduate student Mohammad Tariqul Islam, both from Princeton (N.J.) University – can distinguish COVID-19 patients from those with pneumonia or normal lung tissue with an accuracy of more than 95%.

“We were able to separate the COVID-19 patients with very high fidelity,” Dr. Fleischer said in an interview. “If you give me an x-ray now, I can say with very high confidence whether a patient has COVID-19.”

The diagnostic tool pinpoints patterns on x-ray images that are too subtle for even trained experts to notice. The precision of CT scanning is similar to that of the AI tool, but CT costs much more and has other disadvantages, said Dr. Fleischer, who presented his findings at the virtual European Respiratory Society International Congress 2020.

“CT is more expensive and uses higher doses of radiation,” he said. “Another big thing is that not everyone has tomography facilities – including a lot of rural places and developing countries – so you need something that’s on the spot.”

With machine learning, Dr. Fleischer analyzed 2,300 x-ray images: 1,018 “normal” images from patients who had neither pneumonia nor COVID-19, 1,011 from patients with pneumonia, and 271 from patients with COVID-19.

The AI tool uses a neural network to refine the number and type of lung features being tracked. A UMAP (Uniform Manifold Approximation and Projection) clustering algorithm then looks for similarities and differences in those images, he explained.

“We, as users, knew which type each x-ray was – normal, pneumonia positive, or COVID-19 positive – but the network did not,” he added.

Clinicians have observed two basic types of lung problems in COVID-19 patients: pneumonia that fills lung air sacs with fluid and dangerously low blood-oxygen levels despite nearly normal breathing patterns. Because treatment can vary according to type, it would be beneficial to quickly distinguish between them, Dr. Fleischer said.

The AI tool showed that there is a distinct difference in chest x-rays from pneumonia-positive patients and healthy people, he said. It also demonstrated two distinct clusters of COVID-19–positive chest x-rays: those that looked like pneumonia and those with a more normal presentation.

The fact that “the AI system recognizes something unique in chest x-rays from COVID-19–positive patients” indicates that the computer is able to identify visual markers for coronavirus, he explained. “We currently do not know what these markers are.”

Dr. Fleischer said his goal is not to replace physician decision-making, but to supplement it.

“I’m uncomfortable with having computers make the final decision,” he said. “They often have a narrow focus, whereas doctors have the big picture in mind.”

This AI tool is “very interesting,” especially in the context of expanding AI applications in various specialties, said Thierry Fumeaux, MD, from Nyon (Switzerland) Hospital. Some physicians currently disagree on whether a chest x-ray or CT scan is the better tool to help diagnose COVID-19.

“It seems better than the human eye and brain” to pinpoint COVID-19 lung damage, “so it’s very attractive as a technology,” Dr. Fumeaux said in an interview.

And AI can be used to supplement the efforts of busy and fatigued clinicians who might be stretched thin by large caseloads. “I cannot read 200 chest x-rays in a day, but a computer can do that in 2 minutes,” he said.

But Dr. Fumeaux offered a caveat: “Pattern recognition is promising, but at the moment I’m not aware of papers showing that, by using AI, you’re changing anything in the outcome of a patient.”

Ideally, Dr. Fleischer said he hopes that AI will soon be able to accurately indicate which treatments are most effective for individual COVID-19 patients. And the technology might eventually be used to help with treatment decisions for patients with asthma or chronic obstructive pulmonary disease, he noted.

But he needs more data before results indicate whether a COVID-19 patient would benefit from ventilator support, for example, and the tool can be used more widely. To contribute data or collaborate with Dr. Fleischer’s efforts, contact him.

“Machine learning is all about data, so you can find these correlations,” he said. “It would be nice to be able to use it to reassure a worried patient that their prognosis is good; to say that most of the people with symptoms like yours will be just fine.”

Dr. Fleischer and Dr. Fumeaux have declared no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Diagnoses of 12 common pediatric infectious diseases in a large pediatric primary care network declined significantly in the weeks after COVID-19 social distancing (SD) was enacted in Massachusetts, compared with the same time period in 2019, an analysis of EHR data has shown.

ArtMarie/E+

While declines in infectious disease transmission with SD are not surprising, “these data demonstrate the extent to which transmission of common pediatric infections can be altered when close contact with other children is eliminated,” Jonathan Hatoun, MD, MPH of the Pediatric Physicians’ Organization at Children’s in Brookline, Mass., and coauthors wrote in Pediatrics . “Notably, three of the studied diseases, namely, influenza, croup, and bronchiolitis, essentially disappeared with [social distancing].”

The researchers analyzed the weekly incidence of each diagnosis for similar calendar periods in 2019 and 2020. A pre-SD period was defined as week 1-9, starting on Jan. 1, and a post-SD period was defined as week 13-18. (The several-week gap represented an implementation period as social distancing was enacted in the state earlier in 2020, from a declared statewide state of emergency through school closures and stay-at-home advisories.)

To isolate the effect of widespread SD, they performed a “difference-in-differences regression analysis, with diagnosis count as a function of calendar year, time period (pre-SD versus post-SD) and the interaction between the two.” The Massachusetts pediatric network provides care for approximately 375,000 children in 100 locations around the state.

In their research brief, Dr. Hatoun and coauthors presented weekly rates expressed as diagnoses per 100,000 patients per day. The rate of bronchiolitis, for instance, was 18 and 8 in the pre- and post-SD–equivalent weeks of 2019, respectively, and 20 and 0.6 in the pre- and post-SD weeks of 2020. Their analysis showed the rate in the 2020 post-SD period to be 10 diagnoses per 100,000 patients per day lower than they would have expected based on the 2019 trend.

Rates of pneumonia, acute otitis media, and streptococcal pharyngitis were similarly 14, 85, and 31 diagnoses per 100,000 patients per day lower, respectively. The prevalence of each of the other conditions analyzed – the common cold, croup, gastroenteritis, nonstreptococcal pharyngitis, sinusitis, skin and soft tissue infections, and urinary tract infection (UTI) – also was significantly lower in the 2020 post-SD period than would be expected based on 2019 data (P < .001 for all diagnoses).
 

Putting things in perspective

“This study puts numbers to the sense that we have all had in pediatrics – that social distancing appears to have had a dramatic impact on the transmission of common childhood infectious diseases, especially other respiratory viral pathogens,” Audrey R. John, MD, PhD, chief of the division of pediatric infectious disease at Children’s Hospital of Philadelphia, said in an interview.

The authors acknowledged the possible role of families not seeking care, but said that a smaller decrease in diagnoses of UTI – generally not a contagious disease – “suggests that changes in care-seeking behavior had a relatively modest effect on the other observed declines.” (The rate of UTI for the pre- and post-SD periods was 3.3 and 3.7 per 100,000 patients per day in 2019, and 3.4 and 2.4 in 2020, for a difference in differences of –1.5).

In an accompanying editorial, David W. Kimberlin, MD and Erica C. Bjornstad, MD, PhD, MPH, of the University of Alabama at Birmingham, called the report “provocative” and wrote that similar observations of infections dropping during periods of isolation – namely, dramatic declines in influenza and other respiratory viruses in Seattle after a record snowstorm in 2019 – combined with findings from other modeling studies “suggest that the decline [reported in Boston] is indeed real” (Pediatrics 2020. doi: 10.1542/peds.2020-019232).

However, “we also now know that immunization rates for American children have plummeted since the onset of the SARS-CoV-2 pandemic [because of a] ... dramatic decrease in the use of health care during the first months of the pandemic,” they wrote. “Viewed through this lens,” the declines reported in Boston may reflect inflections going “undiagnosed and untreated.”

Ultimately, Dr. Kimberlin and Dr. Bjornstad said, “the verdict remains out.”

Dr. John said that she and others are “concerned about children not seeking care in a timely manner, and [concerned] that reductions in reported infections might be due to a lack of recognition rather than a lack of transmission.”

In Philadelphia, however, declines in admissions for asthma exacerbations, “which are often caused by respiratory viral infections, suggests that this may not be the case,” said Dr. John, who was asked to comment on the study.

In addition, she said, the Massachusetts data showing that UTI diagnoses “are nearly as common this year as in 2019” are “reassuring.”
 

Are there lessons for the future?

Coauthor Louis Vernacchio, MD, MSc, chief medical officer of the Pediatric Physicians’ Organization at Children’s network, said in an interview that beyond the pandemic, it’s likely that “more careful attention to proven infection control practices in daycares and schools could reduce the burden of common infectious diseases in children.”

Dr. John similarly sees a long-term value of quantifying the impact of social distancing. “We’ve always known [for instance] that bronchiolitis is the result of viral infection.” Findings like the Massachusetts data “will help us advise families who might be trying to protect their premature infants (at risk for severe bronchiolitis) through social distancing.”

The analysis covered both in-person and telemedicine encounters occurring on weekdays.

The authors of the research brief indicated they have no relevant financial disclosures and there was no external funding. The authors of the commentary also reported they have no relevant financial disclosures, and Dr. John said she had no relevant financial disclosures.

SOURCE: Hatoun J et al. Pediatrics. 2020. doi: 10.1542/peds.2020-006460.

Diagnoses of 12 common pediatric infectious diseases in a large pediatric primary care network declined significantly in the weeks after COVID-19 social distancing (SD) was enacted in Massachusetts, compared with the same time period in 2019, an analysis of EHR data has shown.

ArtMarie/E+

While declines in infectious disease transmission with SD are not surprising, “these data demonstrate the extent to which transmission of common pediatric infections can be altered when close contact with other children is eliminated,” Jonathan Hatoun, MD, MPH of the Pediatric Physicians’ Organization at Children’s in Brookline, Mass., and coauthors wrote in Pediatrics . “Notably, three of the studied diseases, namely, influenza, croup, and bronchiolitis, essentially disappeared with [social distancing].”

The researchers analyzed the weekly incidence of each diagnosis for similar calendar periods in 2019 and 2020. A pre-SD period was defined as week 1-9, starting on Jan. 1, and a post-SD period was defined as week 13-18. (The several-week gap represented an implementation period as social distancing was enacted in the state earlier in 2020, from a declared statewide state of emergency through school closures and stay-at-home advisories.)

To isolate the effect of widespread SD, they performed a “difference-in-differences regression analysis, with diagnosis count as a function of calendar year, time period (pre-SD versus post-SD) and the interaction between the two.” The Massachusetts pediatric network provides care for approximately 375,000 children in 100 locations around the state.

In their research brief, Dr. Hatoun and coauthors presented weekly rates expressed as diagnoses per 100,000 patients per day. The rate of bronchiolitis, for instance, was 18 and 8 in the pre- and post-SD–equivalent weeks of 2019, respectively, and 20 and 0.6 in the pre- and post-SD weeks of 2020. Their analysis showed the rate in the 2020 post-SD period to be 10 diagnoses per 100,000 patients per day lower than they would have expected based on the 2019 trend.

Rates of pneumonia, acute otitis media, and streptococcal pharyngitis were similarly 14, 85, and 31 diagnoses per 100,000 patients per day lower, respectively. The prevalence of each of the other conditions analyzed – the common cold, croup, gastroenteritis, nonstreptococcal pharyngitis, sinusitis, skin and soft tissue infections, and urinary tract infection (UTI) – also was significantly lower in the 2020 post-SD period than would be expected based on 2019 data (P < .001 for all diagnoses).
 

Putting things in perspective

“This study puts numbers to the sense that we have all had in pediatrics – that social distancing appears to have had a dramatic impact on the transmission of common childhood infectious diseases, especially other respiratory viral pathogens,” Audrey R. John, MD, PhD, chief of the division of pediatric infectious disease at Children’s Hospital of Philadelphia, said in an interview.

The authors acknowledged the possible role of families not seeking care, but said that a smaller decrease in diagnoses of UTI – generally not a contagious disease – “suggests that changes in care-seeking behavior had a relatively modest effect on the other observed declines.” (The rate of UTI for the pre- and post-SD periods was 3.3 and 3.7 per 100,000 patients per day in 2019, and 3.4 and 2.4 in 2020, for a difference in differences of –1.5).

In an accompanying editorial, David W. Kimberlin, MD and Erica C. Bjornstad, MD, PhD, MPH, of the University of Alabama at Birmingham, called the report “provocative” and wrote that similar observations of infections dropping during periods of isolation – namely, dramatic declines in influenza and other respiratory viruses in Seattle after a record snowstorm in 2019 – combined with findings from other modeling studies “suggest that the decline [reported in Boston] is indeed real” (Pediatrics 2020. doi: 10.1542/peds.2020-019232).

However, “we also now know that immunization rates for American children have plummeted since the onset of the SARS-CoV-2 pandemic [because of a] ... dramatic decrease in the use of health care during the first months of the pandemic,” they wrote. “Viewed through this lens,” the declines reported in Boston may reflect inflections going “undiagnosed and untreated.”

Ultimately, Dr. Kimberlin and Dr. Bjornstad said, “the verdict remains out.”

Dr. John said that she and others are “concerned about children not seeking care in a timely manner, and [concerned] that reductions in reported infections might be due to a lack of recognition rather than a lack of transmission.”

In Philadelphia, however, declines in admissions for asthma exacerbations, “which are often caused by respiratory viral infections, suggests that this may not be the case,” said Dr. John, who was asked to comment on the study.

In addition, she said, the Massachusetts data showing that UTI diagnoses “are nearly as common this year as in 2019” are “reassuring.”
 

Are there lessons for the future?

Coauthor Louis Vernacchio, MD, MSc, chief medical officer of the Pediatric Physicians’ Organization at Children’s network, said in an interview that beyond the pandemic, it’s likely that “more careful attention to proven infection control practices in daycares and schools could reduce the burden of common infectious diseases in children.”

Dr. John similarly sees a long-term value of quantifying the impact of social distancing. “We’ve always known [for instance] that bronchiolitis is the result of viral infection.” Findings like the Massachusetts data “will help us advise families who might be trying to protect their premature infants (at risk for severe bronchiolitis) through social distancing.”

The analysis covered both in-person and telemedicine encounters occurring on weekdays.

The authors of the research brief indicated they have no relevant financial disclosures and there was no external funding. The authors of the commentary also reported they have no relevant financial disclosures, and Dr. John said she had no relevant financial disclosures.

SOURCE: Hatoun J et al. Pediatrics. 2020. doi: 10.1542/peds.2020-006460.

Diagnoses of 12 common pediatric infectious diseases in a large pediatric primary care network declined significantly in the weeks after COVID-19 social distancing (SD) was enacted in Massachusetts, compared with the same time period in 2019, an analysis of EHR data has shown.

ArtMarie/E+

While declines in infectious disease transmission with SD are not surprising, “these data demonstrate the extent to which transmission of common pediatric infections can be altered when close contact with other children is eliminated,” Jonathan Hatoun, MD, MPH of the Pediatric Physicians’ Organization at Children’s in Brookline, Mass., and coauthors wrote in Pediatrics . “Notably, three of the studied diseases, namely, influenza, croup, and bronchiolitis, essentially disappeared with [social distancing].”

The researchers analyzed the weekly incidence of each diagnosis for similar calendar periods in 2019 and 2020. A pre-SD period was defined as week 1-9, starting on Jan. 1, and a post-SD period was defined as week 13-18. (The several-week gap represented an implementation period as social distancing was enacted in the state earlier in 2020, from a declared statewide state of emergency through school closures and stay-at-home advisories.)

To isolate the effect of widespread SD, they performed a “difference-in-differences regression analysis, with diagnosis count as a function of calendar year, time period (pre-SD versus post-SD) and the interaction between the two.” The Massachusetts pediatric network provides care for approximately 375,000 children in 100 locations around the state.

In their research brief, Dr. Hatoun and coauthors presented weekly rates expressed as diagnoses per 100,000 patients per day. The rate of bronchiolitis, for instance, was 18 and 8 in the pre- and post-SD–equivalent weeks of 2019, respectively, and 20 and 0.6 in the pre- and post-SD weeks of 2020. Their analysis showed the rate in the 2020 post-SD period to be 10 diagnoses per 100,000 patients per day lower than they would have expected based on the 2019 trend.

Rates of pneumonia, acute otitis media, and streptococcal pharyngitis were similarly 14, 85, and 31 diagnoses per 100,000 patients per day lower, respectively. The prevalence of each of the other conditions analyzed – the common cold, croup, gastroenteritis, nonstreptococcal pharyngitis, sinusitis, skin and soft tissue infections, and urinary tract infection (UTI) – also was significantly lower in the 2020 post-SD period than would be expected based on 2019 data (P < .001 for all diagnoses).
 

Putting things in perspective

“This study puts numbers to the sense that we have all had in pediatrics – that social distancing appears to have had a dramatic impact on the transmission of common childhood infectious diseases, especially other respiratory viral pathogens,” Audrey R. John, MD, PhD, chief of the division of pediatric infectious disease at Children’s Hospital of Philadelphia, said in an interview.

The authors acknowledged the possible role of families not seeking care, but said that a smaller decrease in diagnoses of UTI – generally not a contagious disease – “suggests that changes in care-seeking behavior had a relatively modest effect on the other observed declines.” (The rate of UTI for the pre- and post-SD periods was 3.3 and 3.7 per 100,000 patients per day in 2019, and 3.4 and 2.4 in 2020, for a difference in differences of –1.5).

In an accompanying editorial, David W. Kimberlin, MD and Erica C. Bjornstad, MD, PhD, MPH, of the University of Alabama at Birmingham, called the report “provocative” and wrote that similar observations of infections dropping during periods of isolation – namely, dramatic declines in influenza and other respiratory viruses in Seattle after a record snowstorm in 2019 – combined with findings from other modeling studies “suggest that the decline [reported in Boston] is indeed real” (Pediatrics 2020. doi: 10.1542/peds.2020-019232).

However, “we also now know that immunization rates for American children have plummeted since the onset of the SARS-CoV-2 pandemic [because of a] ... dramatic decrease in the use of health care during the first months of the pandemic,” they wrote. “Viewed through this lens,” the declines reported in Boston may reflect inflections going “undiagnosed and untreated.”

Ultimately, Dr. Kimberlin and Dr. Bjornstad said, “the verdict remains out.”

Dr. John said that she and others are “concerned about children not seeking care in a timely manner, and [concerned] that reductions in reported infections might be due to a lack of recognition rather than a lack of transmission.”

In Philadelphia, however, declines in admissions for asthma exacerbations, “which are often caused by respiratory viral infections, suggests that this may not be the case,” said Dr. John, who was asked to comment on the study.

In addition, she said, the Massachusetts data showing that UTI diagnoses “are nearly as common this year as in 2019” are “reassuring.”
 

Are there lessons for the future?

Coauthor Louis Vernacchio, MD, MSc, chief medical officer of the Pediatric Physicians’ Organization at Children’s network, said in an interview that beyond the pandemic, it’s likely that “more careful attention to proven infection control practices in daycares and schools could reduce the burden of common infectious diseases in children.”

Dr. John similarly sees a long-term value of quantifying the impact of social distancing. “We’ve always known [for instance] that bronchiolitis is the result of viral infection.” Findings like the Massachusetts data “will help us advise families who might be trying to protect their premature infants (at risk for severe bronchiolitis) through social distancing.”

The analysis covered both in-person and telemedicine encounters occurring on weekdays.

The authors of the research brief indicated they have no relevant financial disclosures and there was no external funding. The authors of the commentary also reported they have no relevant financial disclosures, and Dr. John said she had no relevant financial disclosures.

SOURCE: Hatoun J et al. Pediatrics. 2020. doi: 10.1542/peds.2020-006460.

Insomnia is “highly prevalent” in veterans with chronic pulmonary obstructive disease and is significantly associated with greater COPD-related health care utilization, according to an analysis of national Veterans Health Administration data.

“The study highlights the importance of exploring potential sleep disturbances and disorders in this population and suggests that a targeted treatment for insomnia may help to improve COPD outcomes in veterans with COPD and insomnia,” said Faith Luyster, PhD, assistant professor at the University of Pittsburgh, in an interview after the virtual annual meeting of the Associated Professional Sleep Societies, where she presented the findings.

Dr. Luyster and coinvestigators used an administrative database from the Veterans Affairs Corporate Data Warehouse to identify more than 1.5 million patients with COPD who used VHA services over a 6-year period (fiscal years 2011-2017). Insomnia was defined by ICD-9/10 diagnostic codes and/or a sedative-hypnotic prescription for at least 30 doses during any of these years.

Insomnia with COPD was prevalent in this sample of veterans at 37.3%. Compared with veterans without comorbid insomnia, those who had both COPD and insomnia (575,539 of the total 1,542,642) were older (69 vs. 64 years), more likely to be female (6.3% vs. 3.7%), more likely to be Black (14% vs. 11%) and more likely to be a current smoker (46.1% vs. 35.5%).

Those with both COPD and insomnia were also more likely to have a service-connected disability rating of 50% of greater; use supplemental oxygen; be divorced, widowed, or separated; have a higher body mass index; or have other medical or psychiatric conditions – in particular obstructive sleep apnea (39% vs. 7%), depression (21% vs. 5%), and PTSD (33% vs. 3%).

P values were < .001 for all of these demographic and clinical variables, Dr. Luyster reported at the meeting.

Comorbid insomnia clearly impacted health care utilization, she said. Veterans with insomnia in addition to COPD had more outpatient and ED visits (10.5 vs 6.9, and 1.6 vs. 1.4, respectively) and more hospitalizations (2.2 vs. 1.8) with a primary diagnostic code for COPD or COPD exacerbation (P < .001).

A negative binomial regression analysis (P < .001) showed that “even after controlling for demographic and other medical conditions, COPD patients with insomnia had greater rates of health care utilization relative to COPD patients without insomnia,” Dr. Luyster said in the interview.

Prior studies have suggested that disturbed sleep is a predictor of poorer longitudinal outcomes in COPD, even after controlling for COPD severity, but have not looked specifically at insomnia, she said.

Commenting on the study Octavian C. Ioachimescu, MD, PhD, of Emory University, Atlanta, and the Atlanta VA Medical Center in Decatur, said the criteria used to define insomnia – unadjudicated ICD diagnoses as well as sedative-hypnotic prescriptions – may explain part of the reported prevalence of insomnia. Even so, the findings add to existing literature demonstrating that COPD and insomnia are both common disorders among VHA patients, and that their frequent coexistence “could have adverse consequences on the overall health, functional status, long-term outcomes, and quality of life of these patients.”

Questions of causation are yet to be answered, he said. “Is it that uncontrolled or severe airflow obstruction causing frequent nocturnal arousals, dyspnea, orthopnea, overuse of inhaled sympathomimetics and heightened anxiety leads to insomnia? Or is it that insomnia – possibly in a cluster with other affective disorders such as depression, anxiety disorders, or PTSD – elicits more frequent or more severe symptoms of shortness of breath in those with smoking-induced airway and parenchymal lung disease, making the latter diagnosis more overt than in others?

“My bet is on a bidirectional causal relationship,” said Dr. Ioachimescu, an editorial board advisor of CHEST Physician.

“Regardless of the etiology [of insomnia in veterans with COPD],” Dr. Luyster said, “it’s important that [insomnia] be addressed and treated appropriately, whether that be through pharmacological treatment, or probably more ideally through [cognitive behavioral therapy] for insomnia.”

The study did not control for COPD severity, she said, because of the difficulty of extracting this data from the VA Corporate Data Warehouse. The study was funded by the VA Competitive Career Development Fund.Dr. Luyster reported that she had no disclosures. Dr. Ioachimescu also said he had no relevant disclosures.
 

Insomnia is “highly prevalent” in veterans with chronic pulmonary obstructive disease and is significantly associated with greater COPD-related health care utilization, according to an analysis of national Veterans Health Administration data.

“The study highlights the importance of exploring potential sleep disturbances and disorders in this population and suggests that a targeted treatment for insomnia may help to improve COPD outcomes in veterans with COPD and insomnia,” said Faith Luyster, PhD, assistant professor at the University of Pittsburgh, in an interview after the virtual annual meeting of the Associated Professional Sleep Societies, where she presented the findings.

Dr. Luyster and coinvestigators used an administrative database from the Veterans Affairs Corporate Data Warehouse to identify more than 1.5 million patients with COPD who used VHA services over a 6-year period (fiscal years 2011-2017). Insomnia was defined by ICD-9/10 diagnostic codes and/or a sedative-hypnotic prescription for at least 30 doses during any of these years.

Insomnia with COPD was prevalent in this sample of veterans at 37.3%. Compared with veterans without comorbid insomnia, those who had both COPD and insomnia (575,539 of the total 1,542,642) were older (69 vs. 64 years), more likely to be female (6.3% vs. 3.7%), more likely to be Black (14% vs. 11%) and more likely to be a current smoker (46.1% vs. 35.5%).

Those with both COPD and insomnia were also more likely to have a service-connected disability rating of 50% of greater; use supplemental oxygen; be divorced, widowed, or separated; have a higher body mass index; or have other medical or psychiatric conditions – in particular obstructive sleep apnea (39% vs. 7%), depression (21% vs. 5%), and PTSD (33% vs. 3%).

P values were < .001 for all of these demographic and clinical variables, Dr. Luyster reported at the meeting.

Comorbid insomnia clearly impacted health care utilization, she said. Veterans with insomnia in addition to COPD had more outpatient and ED visits (10.5 vs 6.9, and 1.6 vs. 1.4, respectively) and more hospitalizations (2.2 vs. 1.8) with a primary diagnostic code for COPD or COPD exacerbation (P < .001).

A negative binomial regression analysis (P < .001) showed that “even after controlling for demographic and other medical conditions, COPD patients with insomnia had greater rates of health care utilization relative to COPD patients without insomnia,” Dr. Luyster said in the interview.

Prior studies have suggested that disturbed sleep is a predictor of poorer longitudinal outcomes in COPD, even after controlling for COPD severity, but have not looked specifically at insomnia, she said.

Commenting on the study Octavian C. Ioachimescu, MD, PhD, of Emory University, Atlanta, and the Atlanta VA Medical Center in Decatur, said the criteria used to define insomnia – unadjudicated ICD diagnoses as well as sedative-hypnotic prescriptions – may explain part of the reported prevalence of insomnia. Even so, the findings add to existing literature demonstrating that COPD and insomnia are both common disorders among VHA patients, and that their frequent coexistence “could have adverse consequences on the overall health, functional status, long-term outcomes, and quality of life of these patients.”

Questions of causation are yet to be answered, he said. “Is it that uncontrolled or severe airflow obstruction causing frequent nocturnal arousals, dyspnea, orthopnea, overuse of inhaled sympathomimetics and heightened anxiety leads to insomnia? Or is it that insomnia – possibly in a cluster with other affective disorders such as depression, anxiety disorders, or PTSD – elicits more frequent or more severe symptoms of shortness of breath in those with smoking-induced airway and parenchymal lung disease, making the latter diagnosis more overt than in others?

“My bet is on a bidirectional causal relationship,” said Dr. Ioachimescu, an editorial board advisor of CHEST Physician.

“Regardless of the etiology [of insomnia in veterans with COPD],” Dr. Luyster said, “it’s important that [insomnia] be addressed and treated appropriately, whether that be through pharmacological treatment, or probably more ideally through [cognitive behavioral therapy] for insomnia.”

The study did not control for COPD severity, she said, because of the difficulty of extracting this data from the VA Corporate Data Warehouse. The study was funded by the VA Competitive Career Development Fund.Dr. Luyster reported that she had no disclosures. Dr. Ioachimescu also said he had no relevant disclosures.
 

Insomnia is “highly prevalent” in veterans with chronic pulmonary obstructive disease and is significantly associated with greater COPD-related health care utilization, according to an analysis of national Veterans Health Administration data.

“The study highlights the importance of exploring potential sleep disturbances and disorders in this population and suggests that a targeted treatment for insomnia may help to improve COPD outcomes in veterans with COPD and insomnia,” said Faith Luyster, PhD, assistant professor at the University of Pittsburgh, in an interview after the virtual annual meeting of the Associated Professional Sleep Societies, where she presented the findings.

Dr. Luyster and coinvestigators used an administrative database from the Veterans Affairs Corporate Data Warehouse to identify more than 1.5 million patients with COPD who used VHA services over a 6-year period (fiscal years 2011-2017). Insomnia was defined by ICD-9/10 diagnostic codes and/or a sedative-hypnotic prescription for at least 30 doses during any of these years.

Insomnia with COPD was prevalent in this sample of veterans at 37.3%. Compared with veterans without comorbid insomnia, those who had both COPD and insomnia (575,539 of the total 1,542,642) were older (69 vs. 64 years), more likely to be female (6.3% vs. 3.7%), more likely to be Black (14% vs. 11%) and more likely to be a current smoker (46.1% vs. 35.5%).

Those with both COPD and insomnia were also more likely to have a service-connected disability rating of 50% of greater; use supplemental oxygen; be divorced, widowed, or separated; have a higher body mass index; or have other medical or psychiatric conditions – in particular obstructive sleep apnea (39% vs. 7%), depression (21% vs. 5%), and PTSD (33% vs. 3%).

P values were < .001 for all of these demographic and clinical variables, Dr. Luyster reported at the meeting.

Comorbid insomnia clearly impacted health care utilization, she said. Veterans with insomnia in addition to COPD had more outpatient and ED visits (10.5 vs 6.9, and 1.6 vs. 1.4, respectively) and more hospitalizations (2.2 vs. 1.8) with a primary diagnostic code for COPD or COPD exacerbation (P < .001).

A negative binomial regression analysis (P < .001) showed that “even after controlling for demographic and other medical conditions, COPD patients with insomnia had greater rates of health care utilization relative to COPD patients without insomnia,” Dr. Luyster said in the interview.

Prior studies have suggested that disturbed sleep is a predictor of poorer longitudinal outcomes in COPD, even after controlling for COPD severity, but have not looked specifically at insomnia, she said.

Commenting on the study Octavian C. Ioachimescu, MD, PhD, of Emory University, Atlanta, and the Atlanta VA Medical Center in Decatur, said the criteria used to define insomnia – unadjudicated ICD diagnoses as well as sedative-hypnotic prescriptions – may explain part of the reported prevalence of insomnia. Even so, the findings add to existing literature demonstrating that COPD and insomnia are both common disorders among VHA patients, and that their frequent coexistence “could have adverse consequences on the overall health, functional status, long-term outcomes, and quality of life of these patients.”

Questions of causation are yet to be answered, he said. “Is it that uncontrolled or severe airflow obstruction causing frequent nocturnal arousals, dyspnea, orthopnea, overuse of inhaled sympathomimetics and heightened anxiety leads to insomnia? Or is it that insomnia – possibly in a cluster with other affective disorders such as depression, anxiety disorders, or PTSD – elicits more frequent or more severe symptoms of shortness of breath in those with smoking-induced airway and parenchymal lung disease, making the latter diagnosis more overt than in others?

“My bet is on a bidirectional causal relationship,” said Dr. Ioachimescu, an editorial board advisor of CHEST Physician.

“Regardless of the etiology [of insomnia in veterans with COPD],” Dr. Luyster said, “it’s important that [insomnia] be addressed and treated appropriately, whether that be through pharmacological treatment, or probably more ideally through [cognitive behavioral therapy] for insomnia.”

The study did not control for COPD severity, she said, because of the difficulty of extracting this data from the VA Corporate Data Warehouse. The study was funded by the VA Competitive Career Development Fund.Dr. Luyster reported that she had no disclosures. Dr. Ioachimescu also said he had no relevant disclosures.
 

About 22% of children with COVID-19 infections were asymptomatic, and 66% of the symptomatic children had unrecognized symptoms at the time of diagnosis, based on data from a case series of 91 confirmed cases.

South_agency/Getty Images

Although recent reports suggest that COVID-19 infections in children are generally mild, data on the full spectrum of illness and duration of viral RNA in children are limited, wrote Mi Seon Han, MD, PhD, of Seoul (South Korea) Metropolitan Government–Seoul National University Boramae Medical Center, and colleagues.

To examine the full clinical course and duration of COVID-19 RNA detectability in children with confirmed infections, the researchers reviewed data from 91 individuals with confirmed infections. The children ranged in age from 27 days to 18 years, and 58% were male. The children were monitored at 20 hospitals and 2 isolation facilities for a mean 21.9 days. The findings were published in JAMA Pediatrics.

Overall, COVID-19 viral RNA was present in the study population for a mean 17.6 days, with testing done at a median interval of 3 days. A total of 20 children (22%) were asymptomatic throughout the study period. In these children, viral RNA was detected for a mean 14 days.

“The major hurdle implicated in this study in diagnosing and treating children with COVID-19 is that a considerable number of children are asymptomatic, and even if symptoms are present, they are unrecognized and overlooked before COVID-19 is diagnosed,” the researchers noted.

Of the 71 symptomatic children, 47 (66%) had unrecognized symptoms prior to diagnosis, 18 (25%) developed symptoms after diagnosis, and 6 (9%) were diagnosed at the time of symptom onset. The symptomatic children were symptomatic for a median of 11 days; 43 (61%) remained symptomatic at 7 days’ follow-up after the study period, 27 (38%) were symptomatic at 14 days, and 7 (10%) were symptomatic at 21 days.

A total of 41 children had upper respiratory infections (58%) and 22 children (24%) had lower respiratory tract infections. No difference in the duration of virus RNA was detected between children with upper respiratory tract infections and lower respiratory tract infections (average, 18.7 days vs. 19.9 days).

Among the symptomatic children, 46 (65%) had mild cases and 20 (28%) had moderate cases.

For treatment, 14 children (15%) received lopinavir-ritonavir and/or hydroxychloroquine. Two patients had severe illness and received oxygen via nasal prong, without the need for mechanical ventilation. All the children in the case series recovered from their infections with no fatalities.

The study’s main limitation was the inability to analyze the transmission potential of the children because of the quarantine and isolation policies in Korea, the researchers noted. In addition, the researchers did not perform follow-up testing at consistent intervals, so the duration of COVID-19 RNA detection may be inexact.

However, the results suggest “that suspecting and diagnosing COVID-19 in children based on their symptoms without epidemiologic information and virus testing is very challenging,” the researchers emphasized.

“Most of the children with COVID-19 have silent disease, but SARS-CoV-2 RNA can still be detected in the respiratory tract for a prolonged period,” they wrote. More research is needed to explore the potential for disease transmission by children in the community, and increased surveillance with laboratory screening can help identify children with unrecognized infections.

The study is the first known to focus on the frequency of asymptomatic infection in children and the duration of symptoms in both asymptomatic and symptomatic children, Roberta L. DeBiasi, MD, and Meghan Delaney, DO, both affiliated with Children’s National Hospital and Research Institute, Washington, and George Washington University, Washington, wrote in an accompanying editorial. The structure of the Korean public health system “allowed for the sequential observation, testing (median testing interval of every 3 days), and comparison of 91 asymptomatic, presymptomatic, and symptomatic children with mild to moderate upper and lower respiratory tract infection, identified primarily by contact tracing from laboratory-proven cases.”

Two take-home points from the study are that not all infected children are symptomatic, and the duration of symptoms in those who are varies widely, they noted. “Interestingly, this study aligns with adult data in which up to 40% of adults may remain asymptomatic in the face of infection.”

However, “The third and most important take-home point from this study relates to the duration of viral shedding in infected pediatric patients,” Dr. DeBiasi and Dr. Delaney said (JAMA Pediatr. 2020 Aug 28. doi: 10.1001/jamapediatrics.2020.3996).

“Fully half of symptomatic children with both upper and lower tract disease were still shedding virus at 21 days. These are striking data, particularly since 86 of 88 diagnosed children (98%) either had no symptoms or mild or moderate disease,” they explained. The results highlight the need for improvements in qualitative molecular testing and formal studies to identify differences in results from different testing scenarios, such as hospital entry, preprocedure screening, and symptomatic testing. In addition, “these findings are highly relevant to the development of public health strategies to mitigate and contain spread within communities, particularly as affected communities begin their recovery phases.”

The study is important because “schools are opening, and we don’t know what is going to happen,” Michael E. Pichichero, MD, of Rochester General Hospital, N.Y., said in an interview.

“Clinicians, parents, students, school administrators and politicians are worried,” he said. “This study adds to others recently published, bringing into focus the challenges to several suppositions that existed when the COVID-19 pandemic began and over the summer.”

“This study of 91 Korean children tells us that taking a child’s temperature as a screening tool to decide if they may enter school will not be a highly successful strategy,” he said. “Many children are without fever and asymptomatic when infected and contagious. The notion that children shed less virus or shed it for shorter lengths of time we keep learning from this type of research is not true. In another recent study the authors found that children shed as much of the SARS-CoV-2 virus as an adult in the ICU on a ventilator.”

Dr. Pichichero said he was not surprised by the study findings. “A similar paper was published last week in the Journal of Pediatrics from Massachusetts General Hospital, so the findings in the JAMA paper are similar to what has been reported in the United States.”

“Availability of testing will continue to be a challenge in some communities,” said Dr. Pichichero. “Here in the Rochester, New York, area we will use a screening questionnaire based on the CDC [Centers for Disease Control and Prevention] symptom criteria of SARS-CoV-2 infections to decide whom to test.”

As for additional research, “We have so much more to learn about SARS-CoV-2 in children,” he emphasized. “The focus has been on adults because the morbidity and mortality has been greatest in adults, especially the elderly and those with compromised health.”

“The National Institutes of Health has issued a call for more research in children to characterize the spectrum of SARS-CoV-2 illness, including the multisystem inflammatory syndrome in children [MIS-C] and try to identify biomarkers and/or biosignatures for a prognostic algorithm to predict the longitudinal risk of disease severity after a child is exposed to and may be infected with SARS-CoV-2,” said Dr. Pichichero. “NIH has asked researchers to answer the following questions.”

• Why do children have milder illness?
• Are there differences in childhood biology (e.g., gender, puberty, etc.) that contribute to illness severity?
• Are there genetic host differences associated with different disease severity phenotypes, including MIS-C?
• Are there innate mucosal, humoral, cellular and other adaptive immune profiles that are associated with reduced or increased risk of progressive disease, including previous coronavirus infections?
• Will SARS-CoV-2 reinfection cause worse disease as seen with antibody-dependent enhancement (ADE) in other viral infections (e.g., dengue)? Will future vaccines carry a risk of the ADE phenomenon?
• Does substance use (e.g., nicotine, marijuana) exacerbate or trigger MIS-C through immune activation?

“We have no knowledge yet about SARS-CoV-2 vaccination of children, especially young children,” Dr. Pichichero emphasized. “There are different types of vaccines – messenger RNA, adenovirus vector and purified spike proteins of the virus – among others, but questions remain: Will the vaccines work in children? What about side effects? Will the antibodies and cellular immunity protect partially or completely?”

The researchers and editorialists had no financial conflicts to disclose. Dr. Pichichero had no financial conflicts to disclose.

SOURCE: Han MS et al. JAMA Pediatr. 2020 Aug 28. doi:10.1001/jamapediatrics.2020.3988.

About 22% of children with COVID-19 infections were asymptomatic, and 66% of the symptomatic children had unrecognized symptoms at the time of diagnosis, based on data from a case series of 91 confirmed cases.

South_agency/Getty Images

Although recent reports suggest that COVID-19 infections in children are generally mild, data on the full spectrum of illness and duration of viral RNA in children are limited, wrote Mi Seon Han, MD, PhD, of Seoul (South Korea) Metropolitan Government–Seoul National University Boramae Medical Center, and colleagues.

To examine the full clinical course and duration of COVID-19 RNA detectability in children with confirmed infections, the researchers reviewed data from 91 individuals with confirmed infections. The children ranged in age from 27 days to 18 years, and 58% were male. The children were monitored at 20 hospitals and 2 isolation facilities for a mean 21.9 days. The findings were published in JAMA Pediatrics.

Overall, COVID-19 viral RNA was present in the study population for a mean 17.6 days, with testing done at a median interval of 3 days. A total of 20 children (22%) were asymptomatic throughout the study period. In these children, viral RNA was detected for a mean 14 days.

“The major hurdle implicated in this study in diagnosing and treating children with COVID-19 is that a considerable number of children are asymptomatic, and even if symptoms are present, they are unrecognized and overlooked before COVID-19 is diagnosed,” the researchers noted.

Of the 71 symptomatic children, 47 (66%) had unrecognized symptoms prior to diagnosis, 18 (25%) developed symptoms after diagnosis, and 6 (9%) were diagnosed at the time of symptom onset. The symptomatic children were symptomatic for a median of 11 days; 43 (61%) remained symptomatic at 7 days’ follow-up after the study period, 27 (38%) were symptomatic at 14 days, and 7 (10%) were symptomatic at 21 days.

A total of 41 children had upper respiratory infections (58%) and 22 children (24%) had lower respiratory tract infections. No difference in the duration of virus RNA was detected between children with upper respiratory tract infections and lower respiratory tract infections (average, 18.7 days vs. 19.9 days).

Among the symptomatic children, 46 (65%) had mild cases and 20 (28%) had moderate cases.

For treatment, 14 children (15%) received lopinavir-ritonavir and/or hydroxychloroquine. Two patients had severe illness and received oxygen via nasal prong, without the need for mechanical ventilation. All the children in the case series recovered from their infections with no fatalities.

The study’s main limitation was the inability to analyze the transmission potential of the children because of the quarantine and isolation policies in Korea, the researchers noted. In addition, the researchers did not perform follow-up testing at consistent intervals, so the duration of COVID-19 RNA detection may be inexact.

However, the results suggest “that suspecting and diagnosing COVID-19 in children based on their symptoms without epidemiologic information and virus testing is very challenging,” the researchers emphasized.

“Most of the children with COVID-19 have silent disease, but SARS-CoV-2 RNA can still be detected in the respiratory tract for a prolonged period,” they wrote. More research is needed to explore the potential for disease transmission by children in the community, and increased surveillance with laboratory screening can help identify children with unrecognized infections.

The study is the first known to focus on the frequency of asymptomatic infection in children and the duration of symptoms in both asymptomatic and symptomatic children, Roberta L. DeBiasi, MD, and Meghan Delaney, DO, both affiliated with Children’s National Hospital and Research Institute, Washington, and George Washington University, Washington, wrote in an accompanying editorial. The structure of the Korean public health system “allowed for the sequential observation, testing (median testing interval of every 3 days), and comparison of 91 asymptomatic, presymptomatic, and symptomatic children with mild to moderate upper and lower respiratory tract infection, identified primarily by contact tracing from laboratory-proven cases.”

Two take-home points from the study are that not all infected children are symptomatic, and the duration of symptoms in those who are varies widely, they noted. “Interestingly, this study aligns with adult data in which up to 40% of adults may remain asymptomatic in the face of infection.”

However, “The third and most important take-home point from this study relates to the duration of viral shedding in infected pediatric patients,” Dr. DeBiasi and Dr. Delaney said (JAMA Pediatr. 2020 Aug 28. doi: 10.1001/jamapediatrics.2020.3996).

“Fully half of symptomatic children with both upper and lower tract disease were still shedding virus at 21 days. These are striking data, particularly since 86 of 88 diagnosed children (98%) either had no symptoms or mild or moderate disease,” they explained. The results highlight the need for improvements in qualitative molecular testing and formal studies to identify differences in results from different testing scenarios, such as hospital entry, preprocedure screening, and symptomatic testing. In addition, “these findings are highly relevant to the development of public health strategies to mitigate and contain spread within communities, particularly as affected communities begin their recovery phases.”

The study is important because “schools are opening, and we don’t know what is going to happen,” Michael E. Pichichero, MD, of Rochester General Hospital, N.Y., said in an interview.

“Clinicians, parents, students, school administrators and politicians are worried,” he said. “This study adds to others recently published, bringing into focus the challenges to several suppositions that existed when the COVID-19 pandemic began and over the summer.”

“This study of 91 Korean children tells us that taking a child’s temperature as a screening tool to decide if they may enter school will not be a highly successful strategy,” he said. “Many children are without fever and asymptomatic when infected and contagious. The notion that children shed less virus or shed it for shorter lengths of time we keep learning from this type of research is not true. In another recent study the authors found that children shed as much of the SARS-CoV-2 virus as an adult in the ICU on a ventilator.”

Dr. Pichichero said he was not surprised by the study findings. “A similar paper was published last week in the Journal of Pediatrics from Massachusetts General Hospital, so the findings in the JAMA paper are similar to what has been reported in the United States.”

“Availability of testing will continue to be a challenge in some communities,” said Dr. Pichichero. “Here in the Rochester, New York, area we will use a screening questionnaire based on the CDC [Centers for Disease Control and Prevention] symptom criteria of SARS-CoV-2 infections to decide whom to test.”

As for additional research, “We have so much more to learn about SARS-CoV-2 in children,” he emphasized. “The focus has been on adults because the morbidity and mortality has been greatest in adults, especially the elderly and those with compromised health.”

“The National Institutes of Health has issued a call for more research in children to characterize the spectrum of SARS-CoV-2 illness, including the multisystem inflammatory syndrome in children [MIS-C] and try to identify biomarkers and/or biosignatures for a prognostic algorithm to predict the longitudinal risk of disease severity after a child is exposed to and may be infected with SARS-CoV-2,” said Dr. Pichichero. “NIH has asked researchers to answer the following questions.”

• Why do children have milder illness?
• Are there differences in childhood biology (e.g., gender, puberty, etc.) that contribute to illness severity?
• Are there genetic host differences associated with different disease severity phenotypes, including MIS-C?
• Are there innate mucosal, humoral, cellular and other adaptive immune profiles that are associated with reduced or increased risk of progressive disease, including previous coronavirus infections?
• Will SARS-CoV-2 reinfection cause worse disease as seen with antibody-dependent enhancement (ADE) in other viral infections (e.g., dengue)? Will future vaccines carry a risk of the ADE phenomenon?
• Does substance use (e.g., nicotine, marijuana) exacerbate or trigger MIS-C through immune activation?

“We have no knowledge yet about SARS-CoV-2 vaccination of children, especially young children,” Dr. Pichichero emphasized. “There are different types of vaccines – messenger RNA, adenovirus vector and purified spike proteins of the virus – among others, but questions remain: Will the vaccines work in children? What about side effects? Will the antibodies and cellular immunity protect partially or completely?”

The researchers and editorialists had no financial conflicts to disclose. Dr. Pichichero had no financial conflicts to disclose.

SOURCE: Han MS et al. JAMA Pediatr. 2020 Aug 28. doi:10.1001/jamapediatrics.2020.3988.

About 22% of children with COVID-19 infections were asymptomatic, and 66% of the symptomatic children had unrecognized symptoms at the time of diagnosis, based on data from a case series of 91 confirmed cases.

South_agency/Getty Images

Although recent reports suggest that COVID-19 infections in children are generally mild, data on the full spectrum of illness and duration of viral RNA in children are limited, wrote Mi Seon Han, MD, PhD, of Seoul (South Korea) Metropolitan Government–Seoul National University Boramae Medical Center, and colleagues.

To examine the full clinical course and duration of COVID-19 RNA detectability in children with confirmed infections, the researchers reviewed data from 91 individuals with confirmed infections. The children ranged in age from 27 days to 18 years, and 58% were male. The children were monitored at 20 hospitals and 2 isolation facilities for a mean 21.9 days. The findings were published in JAMA Pediatrics.

Overall, COVID-19 viral RNA was present in the study population for a mean 17.6 days, with testing done at a median interval of 3 days. A total of 20 children (22%) were asymptomatic throughout the study period. In these children, viral RNA was detected for a mean 14 days.

“The major hurdle implicated in this study in diagnosing and treating children with COVID-19 is that a considerable number of children are asymptomatic, and even if symptoms are present, they are unrecognized and overlooked before COVID-19 is diagnosed,” the researchers noted.

Of the 71 symptomatic children, 47 (66%) had unrecognized symptoms prior to diagnosis, 18 (25%) developed symptoms after diagnosis, and 6 (9%) were diagnosed at the time of symptom onset. The symptomatic children were symptomatic for a median of 11 days; 43 (61%) remained symptomatic at 7 days’ follow-up after the study period, 27 (38%) were symptomatic at 14 days, and 7 (10%) were symptomatic at 21 days.

A total of 41 children had upper respiratory infections (58%) and 22 children (24%) had lower respiratory tract infections. No difference in the duration of virus RNA was detected between children with upper respiratory tract infections and lower respiratory tract infections (average, 18.7 days vs. 19.9 days).

Among the symptomatic children, 46 (65%) had mild cases and 20 (28%) had moderate cases.

For treatment, 14 children (15%) received lopinavir-ritonavir and/or hydroxychloroquine. Two patients had severe illness and received oxygen via nasal prong, without the need for mechanical ventilation. All the children in the case series recovered from their infections with no fatalities.

The study’s main limitation was the inability to analyze the transmission potential of the children because of the quarantine and isolation policies in Korea, the researchers noted. In addition, the researchers did not perform follow-up testing at consistent intervals, so the duration of COVID-19 RNA detection may be inexact.

However, the results suggest “that suspecting and diagnosing COVID-19 in children based on their symptoms without epidemiologic information and virus testing is very challenging,” the researchers emphasized.

“Most of the children with COVID-19 have silent disease, but SARS-CoV-2 RNA can still be detected in the respiratory tract for a prolonged period,” they wrote. More research is needed to explore the potential for disease transmission by children in the community, and increased surveillance with laboratory screening can help identify children with unrecognized infections.

The study is the first known to focus on the frequency of asymptomatic infection in children and the duration of symptoms in both asymptomatic and symptomatic children, Roberta L. DeBiasi, MD, and Meghan Delaney, DO, both affiliated with Children’s National Hospital and Research Institute, Washington, and George Washington University, Washington, wrote in an accompanying editorial. The structure of the Korean public health system “allowed for the sequential observation, testing (median testing interval of every 3 days), and comparison of 91 asymptomatic, presymptomatic, and symptomatic children with mild to moderate upper and lower respiratory tract infection, identified primarily by contact tracing from laboratory-proven cases.”

Two take-home points from the study are that not all infected children are symptomatic, and the duration of symptoms in those who are varies widely, they noted. “Interestingly, this study aligns with adult data in which up to 40% of adults may remain asymptomatic in the face of infection.”

However, “The third and most important take-home point from this study relates to the duration of viral shedding in infected pediatric patients,” Dr. DeBiasi and Dr. Delaney said (JAMA Pediatr. 2020 Aug 28. doi: 10.1001/jamapediatrics.2020.3996).

“Fully half of symptomatic children with both upper and lower tract disease were still shedding virus at 21 days. These are striking data, particularly since 86 of 88 diagnosed children (98%) either had no symptoms or mild or moderate disease,” they explained. The results highlight the need for improvements in qualitative molecular testing and formal studies to identify differences in results from different testing scenarios, such as hospital entry, preprocedure screening, and symptomatic testing. In addition, “these findings are highly relevant to the development of public health strategies to mitigate and contain spread within communities, particularly as affected communities begin their recovery phases.”

The study is important because “schools are opening, and we don’t know what is going to happen,” Michael E. Pichichero, MD, of Rochester General Hospital, N.Y., said in an interview.

“Clinicians, parents, students, school administrators and politicians are worried,” he said. “This study adds to others recently published, bringing into focus the challenges to several suppositions that existed when the COVID-19 pandemic began and over the summer.”

“This study of 91 Korean children tells us that taking a child’s temperature as a screening tool to decide if they may enter school will not be a highly successful strategy,” he said. “Many children are without fever and asymptomatic when infected and contagious. The notion that children shed less virus or shed it for shorter lengths of time we keep learning from this type of research is not true. In another recent study the authors found that children shed as much of the SARS-CoV-2 virus as an adult in the ICU on a ventilator.”

Dr. Pichichero said he was not surprised by the study findings. “A similar paper was published last week in the Journal of Pediatrics from Massachusetts General Hospital, so the findings in the JAMA paper are similar to what has been reported in the United States.”

“Availability of testing will continue to be a challenge in some communities,” said Dr. Pichichero. “Here in the Rochester, New York, area we will use a screening questionnaire based on the CDC [Centers for Disease Control and Prevention] symptom criteria of SARS-CoV-2 infections to decide whom to test.”

As for additional research, “We have so much more to learn about SARS-CoV-2 in children,” he emphasized. “The focus has been on adults because the morbidity and mortality has been greatest in adults, especially the elderly and those with compromised health.”

“The National Institutes of Health has issued a call for more research in children to characterize the spectrum of SARS-CoV-2 illness, including the multisystem inflammatory syndrome in children [MIS-C] and try to identify biomarkers and/or biosignatures for a prognostic algorithm to predict the longitudinal risk of disease severity after a child is exposed to and may be infected with SARS-CoV-2,” said Dr. Pichichero. “NIH has asked researchers to answer the following questions.”

• Why do children have milder illness?
• Are there differences in childhood biology (e.g., gender, puberty, etc.) that contribute to illness severity?
• Are there genetic host differences associated with different disease severity phenotypes, including MIS-C?
• Are there innate mucosal, humoral, cellular and other adaptive immune profiles that are associated with reduced or increased risk of progressive disease, including previous coronavirus infections?
• Will SARS-CoV-2 reinfection cause worse disease as seen with antibody-dependent enhancement (ADE) in other viral infections (e.g., dengue)? Will future vaccines carry a risk of the ADE phenomenon?
• Does substance use (e.g., nicotine, marijuana) exacerbate or trigger MIS-C through immune activation?

“We have no knowledge yet about SARS-CoV-2 vaccination of children, especially young children,” Dr. Pichichero emphasized. “There are different types of vaccines – messenger RNA, adenovirus vector and purified spike proteins of the virus – among others, but questions remain: Will the vaccines work in children? What about side effects? Will the antibodies and cellular immunity protect partially or completely?”

The researchers and editorialists had no financial conflicts to disclose. Dr. Pichichero had no financial conflicts to disclose.

SOURCE: Han MS et al. JAMA Pediatr. 2020 Aug 28. doi:10.1001/jamapediatrics.2020.3988.

Breast milk is an unlikely source of transmission of SARS-CoV-2 from mothers to infants, according to data from case reports and breast milk samples from 18 women.

South_agency/Getty Images

“To date, SARS-CoV-2 has not been isolated from breast milk, and there are no documented cases of transmission of infectious virus to the infant through breast milk,” but the potential for transmission remains a concern among women who want to breastfeed, wrote Christina Chambers, PhD, of the University of California, San Diego, and colleagues.

In a research letter published in JAMA, the investigators identified 18 women with confirmed SARS-CoV-2 infections (all but 1 of the women had symptomatic COVID-19 disease) and infants aged 0-19 months between March 27 and May 6, 2020. The average age of the mothers was 34 years, and 78% were non-Hispanic White. The women provided 1-12 samples of breast milk for a total of 64 samples collected before and after positive COVID-19 tests.

One sample yielded detectable RNA from SARS-CoV-2 and was collected on the day of the woman’s symptom onset. However, one sample taken 2 days prior to symptom onset and two samples collected 12 and 41 days later tested negative for viral RNA, the researchers said. In addition, no replication-competent virus was identified in the positive sample or any of the other samples.

The researchers spiked two stored milk samples collected prior to the pandemic with replication-competent SARS-CoV-2. Virus was not detected by culture in the samples after Holder pasteurization, but was detected by culture in nonpasteurized aliquots of the same samples.

“These data suggest that SARS-CoV-2 RNA does not represent replication-competent virus and that breast milk may not be a source of infection for the infant,” Dr. Chambers and associates said.

The results were limited by several factors including the small sample size and potential for selection bias, as well as the use of self-reports of positive tests and self-collection of breast milk, the researchers noted. However, the findings are reassuring in light of the known benefits of breastfeeding and the use of milk banks.

“This research is important because the pandemic is ongoing and has far-reaching consequences: as the authors indicate, the potential for viral transmission through breast milk remains a critical question for women infected with SARS-CoV-2 who wish to breastfeed,” Janet R. Hardy, PhD, MPH, MSc, a consultant on global maternal-child health and pharmacoepidemiology, said in an interview.

“This virus has everyone on a rapid learning track, and all information that helps build evidence to support women’s decision-making in the care of their children is valuable,” she said. “These findings suggest that breast milk may not be a source of SARS-CoV-2 infection for the infant. They provide some reassurance given the recognized benefits of breastfeeding and human milk.”

However, “This study is very specific to breast milk,” she emphasized. “In advising women infected with SARS-CoV-2, clinicians may want to include a discussion of protection methods to prevent maternal transmission of the virus through respiratory droplets.”

Although the data are preliminary, “the investigators established and validated an RT-PCR [reverse transcription polymerase chain reaction] assay and developed tissue culture methods for replication-competent SARS-CoV-2 in breast milk, both valuable tools for further studies. Next steps will include controlled studies of greater sample size with independent verification of RT-PCR positivity,” said Dr. Hardy, a consultant to Biohaven Pharmaceuticals, New Haven, Conn.

The study was supported by the National Institute of Allergy and Infectious Diseases, the Eunice Kennedy Shriver National Institute of Child Health and Human Development, and the National Institute of Mental Health. Medela Corporation provided milk sample collection materials. The Family Larsson-Rosenquist Foundation provided an unrestricted COVID19 emergency gift fund. The Mothers’ Milk Bank at Austin paid for shipping costs.

SOURCE: Chambers C et al. JAMA. 2020 Aug 19. doi: 10.1001/jama.2020.15580.

Breast milk is an unlikely source of transmission of SARS-CoV-2 from mothers to infants, according to data from case reports and breast milk samples from 18 women.

South_agency/Getty Images

“To date, SARS-CoV-2 has not been isolated from breast milk, and there are no documented cases of transmission of infectious virus to the infant through breast milk,” but the potential for transmission remains a concern among women who want to breastfeed, wrote Christina Chambers, PhD, of the University of California, San Diego, and colleagues.

In a research letter published in JAMA, the investigators identified 18 women with confirmed SARS-CoV-2 infections (all but 1 of the women had symptomatic COVID-19 disease) and infants aged 0-19 months between March 27 and May 6, 2020. The average age of the mothers was 34 years, and 78% were non-Hispanic White. The women provided 1-12 samples of breast milk for a total of 64 samples collected before and after positive COVID-19 tests.

One sample yielded detectable RNA from SARS-CoV-2 and was collected on the day of the woman’s symptom onset. However, one sample taken 2 days prior to symptom onset and two samples collected 12 and 41 days later tested negative for viral RNA, the researchers said. In addition, no replication-competent virus was identified in the positive sample or any of the other samples.

The researchers spiked two stored milk samples collected prior to the pandemic with replication-competent SARS-CoV-2. Virus was not detected by culture in the samples after Holder pasteurization, but was detected by culture in nonpasteurized aliquots of the same samples.

“These data suggest that SARS-CoV-2 RNA does not represent replication-competent virus and that breast milk may not be a source of infection for the infant,” Dr. Chambers and associates said.

The results were limited by several factors including the small sample size and potential for selection bias, as well as the use of self-reports of positive tests and self-collection of breast milk, the researchers noted. However, the findings are reassuring in light of the known benefits of breastfeeding and the use of milk banks.

“This research is important because the pandemic is ongoing and has far-reaching consequences: as the authors indicate, the potential for viral transmission through breast milk remains a critical question for women infected with SARS-CoV-2 who wish to breastfeed,” Janet R. Hardy, PhD, MPH, MSc, a consultant on global maternal-child health and pharmacoepidemiology, said in an interview.

“This virus has everyone on a rapid learning track, and all information that helps build evidence to support women’s decision-making in the care of their children is valuable,” she said. “These findings suggest that breast milk may not be a source of SARS-CoV-2 infection for the infant. They provide some reassurance given the recognized benefits of breastfeeding and human milk.”

However, “This study is very specific to breast milk,” she emphasized. “In advising women infected with SARS-CoV-2, clinicians may want to include a discussion of protection methods to prevent maternal transmission of the virus through respiratory droplets.”

Although the data are preliminary, “the investigators established and validated an RT-PCR [reverse transcription polymerase chain reaction] assay and developed tissue culture methods for replication-competent SARS-CoV-2 in breast milk, both valuable tools for further studies. Next steps will include controlled studies of greater sample size with independent verification of RT-PCR positivity,” said Dr. Hardy, a consultant to Biohaven Pharmaceuticals, New Haven, Conn.

The study was supported by the National Institute of Allergy and Infectious Diseases, the Eunice Kennedy Shriver National Institute of Child Health and Human Development, and the National Institute of Mental Health. Medela Corporation provided milk sample collection materials. The Family Larsson-Rosenquist Foundation provided an unrestricted COVID19 emergency gift fund. The Mothers’ Milk Bank at Austin paid for shipping costs.

SOURCE: Chambers C et al. JAMA. 2020 Aug 19. doi: 10.1001/jama.2020.15580.

Breast milk is an unlikely source of transmission of SARS-CoV-2 from mothers to infants, according to data from case reports and breast milk samples from 18 women.

South_agency/Getty Images

“To date, SARS-CoV-2 has not been isolated from breast milk, and there are no documented cases of transmission of infectious virus to the infant through breast milk,” but the potential for transmission remains a concern among women who want to breastfeed, wrote Christina Chambers, PhD, of the University of California, San Diego, and colleagues.

In a research letter published in JAMA, the investigators identified 18 women with confirmed SARS-CoV-2 infections (all but 1 of the women had symptomatic COVID-19 disease) and infants aged 0-19 months between March 27 and May 6, 2020. The average age of the mothers was 34 years, and 78% were non-Hispanic White. The women provided 1-12 samples of breast milk for a total of 64 samples collected before and after positive COVID-19 tests.

One sample yielded detectable RNA from SARS-CoV-2 and was collected on the day of the woman’s symptom onset. However, one sample taken 2 days prior to symptom onset and two samples collected 12 and 41 days later tested negative for viral RNA, the researchers said. In addition, no replication-competent virus was identified in the positive sample or any of the other samples.

The researchers spiked two stored milk samples collected prior to the pandemic with replication-competent SARS-CoV-2. Virus was not detected by culture in the samples after Holder pasteurization, but was detected by culture in nonpasteurized aliquots of the same samples.

“These data suggest that SARS-CoV-2 RNA does not represent replication-competent virus and that breast milk may not be a source of infection for the infant,” Dr. Chambers and associates said.

The results were limited by several factors including the small sample size and potential for selection bias, as well as the use of self-reports of positive tests and self-collection of breast milk, the researchers noted. However, the findings are reassuring in light of the known benefits of breastfeeding and the use of milk banks.

“This research is important because the pandemic is ongoing and has far-reaching consequences: as the authors indicate, the potential for viral transmission through breast milk remains a critical question for women infected with SARS-CoV-2 who wish to breastfeed,” Janet R. Hardy, PhD, MPH, MSc, a consultant on global maternal-child health and pharmacoepidemiology, said in an interview.

“This virus has everyone on a rapid learning track, and all information that helps build evidence to support women’s decision-making in the care of their children is valuable,” she said. “These findings suggest that breast milk may not be a source of SARS-CoV-2 infection for the infant. They provide some reassurance given the recognized benefits of breastfeeding and human milk.”

However, “This study is very specific to breast milk,” she emphasized. “In advising women infected with SARS-CoV-2, clinicians may want to include a discussion of protection methods to prevent maternal transmission of the virus through respiratory droplets.”

Although the data are preliminary, “the investigators established and validated an RT-PCR [reverse transcription polymerase chain reaction] assay and developed tissue culture methods for replication-competent SARS-CoV-2 in breast milk, both valuable tools for further studies. Next steps will include controlled studies of greater sample size with independent verification of RT-PCR positivity,” said Dr. Hardy, a consultant to Biohaven Pharmaceuticals, New Haven, Conn.

The study was supported by the National Institute of Allergy and Infectious Diseases, the Eunice Kennedy Shriver National Institute of Child Health and Human Development, and the National Institute of Mental Health. Medela Corporation provided milk sample collection materials. The Family Larsson-Rosenquist Foundation provided an unrestricted COVID19 emergency gift fund. The Mothers’ Milk Bank at Austin paid for shipping costs.

SOURCE: Chambers C et al. JAMA. 2020 Aug 19. doi: 10.1001/jama.2020.15580.

In a previous column, I addressed some of the issues that quickly arose in the context of the COVID-19 pandemic and their implications for reproductive psychiatry. These issues ranged from the importance of sustaining well-being in pregnant and postpartum women during the pandemic, to temporary restrictions that were in place during the early part of the pandemic with respect to performing infertility procedures, to the practical issues of limiting the number of people who could attend to women during labor and delivery in the hospital.

lechatnoir/E+

Five months later, we’ve learned a great deal about trying to sustain emotional well-being among pregnant women during COVID-19. There is a high rate of anxiety among women who are pregnant and women who have particularly young children around the various issues of juggling activities of daily living during the pandemic, including switching to remote work and homeschooling children. There is fear of contracting COVID-19 during pregnancy, the exact effects of which are still somewhat unknown. We have seen a shift to telemedicine for prenatal and postpartum obstetrics visits, and a change with respect to visitors and even in-home nurses that would help during the first weeks of life for some couples.

We wondered whether we would see a falloff in the numbers of women presenting to our clinic with questions about the reproductive safety of taking psychiatric medications during pregnancy. We were unclear as to whether women would defer plans to get pregnant given some of the uncertainties that have come with COVID-19. What we’ve seen, at least early on in the pandemic in Massachusetts, has been the opposite. More women during the first 4 months of the pandemic have been seen in our center compared with the same corresponding period over the last 5 years. The precise reasons for this are unclear, but one reason may be that shifting the practice of reproductive psychiatry and pregnancy planning for reproductive-age women to full virtual care has dropped the number of missed appointments to essentially zero. Women perhaps feel an urgency to have a plan for using psychiatric medication during pregnancy. They may also see the benefit of being able to have extended telemedicine consultations that frequently involve their partners, a practice we have always supported, but posed logistical challenges for some.

As our colleagues learned that we had shifted our clinical rounds at the Center for Women’s Mental Health, which we’ve been doing for 25 years, to a virtual format, we began offering a free 1-hour forum to discuss relevant issues around caring for psychiatrically ill women, with a focus on some of the issues that were particularly relevant during the pandemic. The most common reasons for consultation on our service are the appropriate, safest use of antidepressants and mood stabilizers during pregnancy, and that continues to be the case.

If there has been one guiding principle in treating perinatal depression during pregnancy, it has been our long-standing, laser-like focus on keeping women emotionally well during pregnancy, and to highlight the importance of this with women during consultations prior to and during pregnancy. Relapse of psychiatric disorder during pregnancy is one the strongest predictors of postpartum depression, and the impact of untreated depression during pregnancy has been described in the literature and over the years in this column. However, the implications of having severe relapse of a mood disorder, for example, such as depression or bipolar disorder during the pandemic, takes on a new context where we want to minimize, if possible, severe onset of illness requiring hospitalization or emergent attention considering it may make social distancing and some of the other mitigating factors vis-à-vis COVID-19 more challenging.

Despite the accumulated data over the last 2 decades on the reproductive safety of antidepressants, women continue to have questions about the safety of these medications during pregnancy. Studies show now that many women would prefer, if at all possible, to defer treatment with antidepressants, and so they come to us with questions about their reproductive safety, the potential of switching to nonpharmacologic interventions, and the use of alternative interventions that might be used to treat their underlying mood disorder.

Investigators at the University of British Columbia recently have tried to inform the field with still another look, not at reproductive safety per se, but at risk of relapse of depression if women discontinue those medicines during pregnancy.¹ There is a timeliness to this investigation, which was a systematic review and meta-analysis of studies that met a priori criteria for inclusion. Since some of our own group’s early work over 15 years ago on relapse of psychiatric disorder during pregnancy,² which indicated a substantial difference in risk of relapse between women who continued versus who discontinued antidepressants, other investigators have showed the difference in risk for relapse is not as substantial, and that continuation of medication did not appear to mitigate risk for relapse. In fact, in the systematic review, the investigators demonstrated that as a group, maintaining medicine did not appear to confer particular benefit to patients relative to risk for relapse compared to discontinuation of antidepressants.

However, looking more closely, Bayrampour and colleagues note for women with histories of more severe recurrent, major depression, relapse did in fact appear to be greater in women who discontinued compared with those with cases of mild to moderate depression. It is noteworthy that in both our early and later work, and certainly dovetailing with our clinical practice, we have noted severity of illness does not appear to correlate with the actual decisions women ultimately make regarding what they will do with antidepressants. Specifically, some women with very severe illness histories will discontinue antidepressants regardless of their risk for relapse. Alternatively, women with mild to moderate illness will sometimes elect to stay on antidepressant therapy. With all the information that we have about fetal exposure to antidepressants on one hand, the “unknown unknowns” are an understandable concern to both patients and clinicians. Clinicians are faced with the dilemma of how to best counsel women on continuing or discontinuing antidepressants as they plan to conceive or during pregnancy and in the postpartum period.

The literature cited and clinical experience over the last 3 decades suggests rather strongly that there is a relatively low likelihood women with histories of severe recurrent disease will be able to successfully discontinue antidepressants in the absence of relapse. A greater question is, what is the best way to proceed for women who have been on maintenance therapy and had more moderate symptoms?

I am inspired by some of the more recent literature that has tried to elucidate the role of nonpharmacologic interventions such as mindfulness-based cognitive therapy (MBCT) in an effort to mitigate risk for depressive relapse in pregnant women who are well with histories of depression. To date, data do not inform the question as to whether MBCT can be used to mitigate risk of depressive relapse in pregnant women who continue or discontinue antidepressants. That research question is actively being studied by several investigators, including ourselves.

Of particular interest is whether the addition of mindfulness practices such as MBCT in treatment could mitigate risk for depressive relapse in pregnant women who continue or discontinue antidepressant treatment, as that would certainly be a no-harm intervention that could mitigate risk even in a lower risk sample of patients. The question of how to “thread the needle” during the pandemic and best approach woman with a history of recurrent major depression on antidepressants is particularly timely and critical.

Regardless, we make clinical decisions collaboratively with patients based on their histories and individual wishes, and perhaps what we have learned over the last 5 months is the use of telemedicine does afford us the opportunity, regardless of the decisions that patients make, to more closely follow the clinical trajectory of women during pregnancy and the postpartum period so that regardless of treatment, we have an opportunity to intervene early when needed and to ascertain changes in clinical status early to mitigate the risk of frank relapse. From a reproductive psychiatric point of view, that is a silver lining with respect to the associated challenges that have come along with the pandemic.
 

Dr. Cohen is the director of the Ammon-Pinizzotto Center for Women’s Mental Health at Massachusetts General Hospital in Boston, which provides information resources and conducts clinical care and research in reproductive mental health. He has been a consultant to manufacturers of psychiatric medications. Email Dr. Cohen at obnews@mdedge.com.

References

1. J Clin Psychiatry 2020;81(4):19r13134.

2. JAMA. 2006 Feb 1;295(5):499-507.

In a previous column, I addressed some of the issues that quickly arose in the context of the COVID-19 pandemic and their implications for reproductive psychiatry. These issues ranged from the importance of sustaining well-being in pregnant and postpartum women during the pandemic, to temporary restrictions that were in place during the early part of the pandemic with respect to performing infertility procedures, to the practical issues of limiting the number of people who could attend to women during labor and delivery in the hospital.

lechatnoir/E+

Five months later, we’ve learned a great deal about trying to sustain emotional well-being among pregnant women during COVID-19. There is a high rate of anxiety among women who are pregnant and women who have particularly young children around the various issues of juggling activities of daily living during the pandemic, including switching to remote work and homeschooling children. There is fear of contracting COVID-19 during pregnancy, the exact effects of which are still somewhat unknown. We have seen a shift to telemedicine for prenatal and postpartum obstetrics visits, and a change with respect to visitors and even in-home nurses that would help during the first weeks of life for some couples.

We wondered whether we would see a falloff in the numbers of women presenting to our clinic with questions about the reproductive safety of taking psychiatric medications during pregnancy. We were unclear as to whether women would defer plans to get pregnant given some of the uncertainties that have come with COVID-19. What we’ve seen, at least early on in the pandemic in Massachusetts, has been the opposite. More women during the first 4 months of the pandemic have been seen in our center compared with the same corresponding period over the last 5 years. The precise reasons for this are unclear, but one reason may be that shifting the practice of reproductive psychiatry and pregnancy planning for reproductive-age women to full virtual care has dropped the number of missed appointments to essentially zero. Women perhaps feel an urgency to have a plan for using psychiatric medication during pregnancy. They may also see the benefit of being able to have extended telemedicine consultations that frequently involve their partners, a practice we have always supported, but posed logistical challenges for some.

As our colleagues learned that we had shifted our clinical rounds at the Center for Women’s Mental Health, which we’ve been doing for 25 years, to a virtual format, we began offering a free 1-hour forum to discuss relevant issues around caring for psychiatrically ill women, with a focus on some of the issues that were particularly relevant during the pandemic. The most common reasons for consultation on our service are the appropriate, safest use of antidepressants and mood stabilizers during pregnancy, and that continues to be the case.

If there has been one guiding principle in treating perinatal depression during pregnancy, it has been our long-standing, laser-like focus on keeping women emotionally well during pregnancy, and to highlight the importance of this with women during consultations prior to and during pregnancy. Relapse of psychiatric disorder during pregnancy is one the strongest predictors of postpartum depression, and the impact of untreated depression during pregnancy has been described in the literature and over the years in this column. However, the implications of having severe relapse of a mood disorder, for example, such as depression or bipolar disorder during the pandemic, takes on a new context where we want to minimize, if possible, severe onset of illness requiring hospitalization or emergent attention considering it may make social distancing and some of the other mitigating factors vis-à-vis COVID-19 more challenging.

Despite the accumulated data over the last 2 decades on the reproductive safety of antidepressants, women continue to have questions about the safety of these medications during pregnancy. Studies show now that many women would prefer, if at all possible, to defer treatment with antidepressants, and so they come to us with questions about their reproductive safety, the potential of switching to nonpharmacologic interventions, and the use of alternative interventions that might be used to treat their underlying mood disorder.

Investigators at the University of British Columbia recently have tried to inform the field with still another look, not at reproductive safety per se, but at risk of relapse of depression if women discontinue those medicines during pregnancy.¹ There is a timeliness to this investigation, which was a systematic review and meta-analysis of studies that met a priori criteria for inclusion. Since some of our own group’s early work over 15 years ago on relapse of psychiatric disorder during pregnancy,² which indicated a substantial difference in risk of relapse between women who continued versus who discontinued antidepressants, other investigators have showed the difference in risk for relapse is not as substantial, and that continuation of medication did not appear to mitigate risk for relapse. In fact, in the systematic review, the investigators demonstrated that as a group, maintaining medicine did not appear to confer particular benefit to patients relative to risk for relapse compared to discontinuation of antidepressants.

However, looking more closely, Bayrampour and colleagues note for women with histories of more severe recurrent, major depression, relapse did in fact appear to be greater in women who discontinued compared with those with cases of mild to moderate depression. It is noteworthy that in both our early and later work, and certainly dovetailing with our clinical practice, we have noted severity of illness does not appear to correlate with the actual decisions women ultimately make regarding what they will do with antidepressants. Specifically, some women with very severe illness histories will discontinue antidepressants regardless of their risk for relapse. Alternatively, women with mild to moderate illness will sometimes elect to stay on antidepressant therapy. With all the information that we have about fetal exposure to antidepressants on one hand, the “unknown unknowns” are an understandable concern to both patients and clinicians. Clinicians are faced with the dilemma of how to best counsel women on continuing or discontinuing antidepressants as they plan to conceive or during pregnancy and in the postpartum period.

The literature cited and clinical experience over the last 3 decades suggests rather strongly that there is a relatively low likelihood women with histories of severe recurrent disease will be able to successfully discontinue antidepressants in the absence of relapse. A greater question is, what is the best way to proceed for women who have been on maintenance therapy and had more moderate symptoms?

I am inspired by some of the more recent literature that has tried to elucidate the role of nonpharmacologic interventions such as mindfulness-based cognitive therapy (MBCT) in an effort to mitigate risk for depressive relapse in pregnant women who are well with histories of depression. To date, data do not inform the question as to whether MBCT can be used to mitigate risk of depressive relapse in pregnant women who continue or discontinue antidepressants. That research question is actively being studied by several investigators, including ourselves.

Of particular interest is whether the addition of mindfulness practices such as MBCT in treatment could mitigate risk for depressive relapse in pregnant women who continue or discontinue antidepressant treatment, as that would certainly be a no-harm intervention that could mitigate risk even in a lower risk sample of patients. The question of how to “thread the needle” during the pandemic and best approach woman with a history of recurrent major depression on antidepressants is particularly timely and critical.

Regardless, we make clinical decisions collaboratively with patients based on their histories and individual wishes, and perhaps what we have learned over the last 5 months is the use of telemedicine does afford us the opportunity, regardless of the decisions that patients make, to more closely follow the clinical trajectory of women during pregnancy and the postpartum period so that regardless of treatment, we have an opportunity to intervene early when needed and to ascertain changes in clinical status early to mitigate the risk of frank relapse. From a reproductive psychiatric point of view, that is a silver lining with respect to the associated challenges that have come along with the pandemic.
 

Dr. Cohen is the director of the Ammon-Pinizzotto Center for Women’s Mental Health at Massachusetts General Hospital in Boston, which provides information resources and conducts clinical care and research in reproductive mental health. He has been a consultant to manufacturers of psychiatric medications. Email Dr. Cohen at obnews@mdedge.com.

References

1. J Clin Psychiatry 2020;81(4):19r13134.

2. JAMA. 2006 Feb 1;295(5):499-507.

In a previous column, I addressed some of the issues that quickly arose in the context of the COVID-19 pandemic and their implications for reproductive psychiatry. These issues ranged from the importance of sustaining well-being in pregnant and postpartum women during the pandemic, to temporary restrictions that were in place during the early part of the pandemic with respect to performing infertility procedures, to the practical issues of limiting the number of people who could attend to women during labor and delivery in the hospital.

lechatnoir/E+

Five months later, we’ve learned a great deal about trying to sustain emotional well-being among pregnant women during COVID-19. There is a high rate of anxiety among women who are pregnant and women who have particularly young children around the various issues of juggling activities of daily living during the pandemic, including switching to remote work and homeschooling children. There is fear of contracting COVID-19 during pregnancy, the exact effects of which are still somewhat unknown. We have seen a shift to telemedicine for prenatal and postpartum obstetrics visits, and a change with respect to visitors and even in-home nurses that would help during the first weeks of life for some couples.

We wondered whether we would see a falloff in the numbers of women presenting to our clinic with questions about the reproductive safety of taking psychiatric medications during pregnancy. We were unclear as to whether women would defer plans to get pregnant given some of the uncertainties that have come with COVID-19. What we’ve seen, at least early on in the pandemic in Massachusetts, has been the opposite. More women during the first 4 months of the pandemic have been seen in our center compared with the same corresponding period over the last 5 years. The precise reasons for this are unclear, but one reason may be that shifting the practice of reproductive psychiatry and pregnancy planning for reproductive-age women to full virtual care has dropped the number of missed appointments to essentially zero. Women perhaps feel an urgency to have a plan for using psychiatric medication during pregnancy. They may also see the benefit of being able to have extended telemedicine consultations that frequently involve their partners, a practice we have always supported, but posed logistical challenges for some.

As our colleagues learned that we had shifted our clinical rounds at the Center for Women’s Mental Health, which we’ve been doing for 25 years, to a virtual format, we began offering a free 1-hour forum to discuss relevant issues around caring for psychiatrically ill women, with a focus on some of the issues that were particularly relevant during the pandemic. The most common reasons for consultation on our service are the appropriate, safest use of antidepressants and mood stabilizers during pregnancy, and that continues to be the case.

If there has been one guiding principle in treating perinatal depression during pregnancy, it has been our long-standing, laser-like focus on keeping women emotionally well during pregnancy, and to highlight the importance of this with women during consultations prior to and during pregnancy. Relapse of psychiatric disorder during pregnancy is one the strongest predictors of postpartum depression, and the impact of untreated depression during pregnancy has been described in the literature and over the years in this column. However, the implications of having severe relapse of a mood disorder, for example, such as depression or bipolar disorder during the pandemic, takes on a new context where we want to minimize, if possible, severe onset of illness requiring hospitalization or emergent attention considering it may make social distancing and some of the other mitigating factors vis-à-vis COVID-19 more challenging.

Despite the accumulated data over the last 2 decades on the reproductive safety of antidepressants, women continue to have questions about the safety of these medications during pregnancy. Studies show now that many women would prefer, if at all possible, to defer treatment with antidepressants, and so they come to us with questions about their reproductive safety, the potential of switching to nonpharmacologic interventions, and the use of alternative interventions that might be used to treat their underlying mood disorder.

Investigators at the University of British Columbia recently have tried to inform the field with still another look, not at reproductive safety per se, but at risk of relapse of depression if women discontinue those medicines during pregnancy.¹ There is a timeliness to this investigation, which was a systematic review and meta-analysis of studies that met a priori criteria for inclusion. Since some of our own group’s early work over 15 years ago on relapse of psychiatric disorder during pregnancy,² which indicated a substantial difference in risk of relapse between women who continued versus who discontinued antidepressants, other investigators have showed the difference in risk for relapse is not as substantial, and that continuation of medication did not appear to mitigate risk for relapse. In fact, in the systematic review, the investigators demonstrated that as a group, maintaining medicine did not appear to confer particular benefit to patients relative to risk for relapse compared to discontinuation of antidepressants.

However, looking more closely, Bayrampour and colleagues note for women with histories of more severe recurrent, major depression, relapse did in fact appear to be greater in women who discontinued compared with those with cases of mild to moderate depression. It is noteworthy that in both our early and later work, and certainly dovetailing with our clinical practice, we have noted severity of illness does not appear to correlate with the actual decisions women ultimately make regarding what they will do with antidepressants. Specifically, some women with very severe illness histories will discontinue antidepressants regardless of their risk for relapse. Alternatively, women with mild to moderate illness will sometimes elect to stay on antidepressant therapy. With all the information that we have about fetal exposure to antidepressants on one hand, the “unknown unknowns” are an understandable concern to both patients and clinicians. Clinicians are faced with the dilemma of how to best counsel women on continuing or discontinuing antidepressants as they plan to conceive or during pregnancy and in the postpartum period.

The literature cited and clinical experience over the last 3 decades suggests rather strongly that there is a relatively low likelihood women with histories of severe recurrent disease will be able to successfully discontinue antidepressants in the absence of relapse. A greater question is, what is the best way to proceed for women who have been on maintenance therapy and had more moderate symptoms?

I am inspired by some of the more recent literature that has tried to elucidate the role of nonpharmacologic interventions such as mindfulness-based cognitive therapy (MBCT) in an effort to mitigate risk for depressive relapse in pregnant women who are well with histories of depression. To date, data do not inform the question as to whether MBCT can be used to mitigate risk of depressive relapse in pregnant women who continue or discontinue antidepressants. That research question is actively being studied by several investigators, including ourselves.

Of particular interest is whether the addition of mindfulness practices such as MBCT in treatment could mitigate risk for depressive relapse in pregnant women who continue or discontinue antidepressant treatment, as that would certainly be a no-harm intervention that could mitigate risk even in a lower risk sample of patients. The question of how to “thread the needle” during the pandemic and best approach woman with a history of recurrent major depression on antidepressants is particularly timely and critical.

Regardless, we make clinical decisions collaboratively with patients based on their histories and individual wishes, and perhaps what we have learned over the last 5 months is the use of telemedicine does afford us the opportunity, regardless of the decisions that patients make, to more closely follow the clinical trajectory of women during pregnancy and the postpartum period so that regardless of treatment, we have an opportunity to intervene early when needed and to ascertain changes in clinical status early to mitigate the risk of frank relapse. From a reproductive psychiatric point of view, that is a silver lining with respect to the associated challenges that have come along with the pandemic.
 

Dr. Cohen is the director of the Ammon-Pinizzotto Center for Women’s Mental Health at Massachusetts General Hospital in Boston, which provides information resources and conducts clinical care and research in reproductive mental health. He has been a consultant to manufacturers of psychiatric medications. Email Dr. Cohen at obnews@mdedge.com.

References

1. J Clin Psychiatry 2020;81(4):19r13134.

2. JAMA. 2006 Feb 1;295(5):499-507.

The medical community is about to find out how prepared it is for the double whammy of influenza and COVID-19 that has been predicted for the fall of 2020. The complexities of diagnosis, management of vulnerable patients, and overflowing medical centers that have made the COVID-19 crisis so brutal may all be exacerbated by the arrival of seasonal influenza.

Lewis Jay Kaplan, MD, FCCP, a critical care surgeon at the University of Pennsylvania, Philadelphia, has seen his share of critically ill COVID-19 patients in the surgical ICU that he oversees. He’s approaching the upcoming flu season, poised to collide with the ongoing COVID-19 pandemic, ready to listen to each patient’s story to distinguish one from the other and determine treatment.

“The patients that have underlying comorbidities all have a story, and it’s up to you to figure out which chapter you’re in and how far along you happen to be,” he said. “It’s a very interesting approach to care, medical storytelling.”

With flu season closing in, pulmonologists are ruminating about how they’ll distinguish symptoms of COVID-19 and traditional influenza and how they’ll manage the most vulnerable patients, namely those with underlying respiratory disease and children. Influenza kills 12,000-61,000 people a year, according to the Centers for Disease Control, and results in 140,000-810,00 hospitalizations. Having a flu season in the midst of a pandemic of a disease with multiple overlapping symptoms threatens to overwhelm practitioners, hospitals, and the health system.

Dr. Kaplan said each patient’s story can point to the correct clinical approach. “Instead of just sharing data when you are on rounds, you’re really telling someone’s story.” It arises from a series of questions about how the disease has impacted them, specifics of their presentation, how their signs and symptoms differ from the usual, and how they responded to treatment. “It also helps you to then take what you’re doing, which can seem very, very complicated to individuals who are not medically sophisticated, and then help them to understand why you’re doing what you’re doing at this point.”

That can help get through to a patient with respiratory disease who insists he or she has or doesn’t have COVID-19 rather than the flu. “They form a different group that brings with them different fears and concerns, and you have to help them navigate that, too: all of this data and your decision-making around testing and admissions, and what you can omit doing and what you must do help them to navigate their own story,” Dr. Kaplan said.

Benjamin D. Singer, MD, a pulmonologist at Northwestern University, Chicago, authored an editorial in Science Advances that addressed four factors that will determine the scope of flu spread in the upcoming season: rate of transmission; vaccination rates; coinfection rates; and health disparities in minority populations, which are prone to higher rates of flu as well as COVID-19.
 

Flu vaccine ‘extra important’

The convergence of COVID-19 and influenza has the potential to overwhelm the health system, said Daniel A. Solomon, MD, of Brigham and Women’s in Boston. He coauthored a JAMA Insights clinical update on flu season during the COVID-19 pandemic that lists distinguishing and overlapping signs and symptoms of the two diseases.

The flu vaccine, he said, is “extra important this year,” especially in patients with existing respiratory disease, but COVID-19 has thrown up barriers to vaccination. Telemedicine has supplanted office visits. “People may miss that easy-touch opportunity to get the flu vaccine, so we have to be creative about making the flu vaccine highly accessible, maybe in nontraditional ways,” Dr. Solomon said. Some ideas he offered are pop-up vaccine fairs at schools and churches.

But just as COVID-19 may hinder flu vaccines, it may also be helping to mitigate flu transmission. “The interesting thing about transmission of the flu is that it’s transmitted the same way COVID is, so if we actually know how to decrease transmission of COVID, which we do – we’ve done it – we can actually decrease transmission of influenza as well,” Dr. Solomon said. Studies out of Hong Kong and Japan have reported a reduction in influenza cases during COVID-19 outbreaks in those places (Lancet Public Health. 2020;5:e279-88; JAMA. 2020;323:1969-71).
 

Risks of coinfection

About one in four COVID-19 patients have been diagnosed with an additional respiratory infection, including influenza (JAMA. 2020:323:2085-6). Pulmonologists must keep that in mind when managing COVID-19 suspects, said Dr. Singer.

“While it is true that most of the time COVID-19 travels alone, we have numerous examples in the literature and in our own experience that COVID-19 is accompanied by either another virus or another bacterial infection, including influenza,” Dr. Singer said. “The distinction is important. One is just for diagnostic reasons and public reporting reasons, but also because flu and COVID-19 have different requirements for how you care for patients in terms of the health system.”

Clinical suspicion for coinfection should remain high if the community spread of both COVID-19 and influenza is high, said Megan Conroy, MD, chief pulmonary and critical care fellow at Ohio State University, Columbus. “As the coronavirus first took hold in the United States in March 2020, we were at the tail end of influenza season, so it’s hard to predict what the upcoming influenza season will really look like with regards to coinfection.”
 

Distinguishing COVID-19 from flu

Multiple signs and symptoms between COVID-19 and the flu overlap. They include fever, chills, headache, myalgia, cough, and fatigue. Nasal congestion and sore throat are characteristic of the flu; shortness of breath and loss of the sense of smell have been widely reported in COVID-19. “While many upper respiratory infections can result in loss of smell, this may be more prevalent in COVID-19,” Dr. Conroy said. Other symptoms unique to COVID-19 are GI symptoms such as diarrhea and skin rashes such as acral ischemia.

Testing, however, is the cornerstone of the differential diagnosis. “You can’t confidently distinguish between them on symptoms alone,” Dr. Conroy added.

“I think the challenge we’ll face as clinicians, is caring for people with nonspecific symptoms of a respiratory viral illness, especially in the early phase of the illness,” said Dr. Solomon.

But even after that, symptoms can be difficult to distinguish.

“Later in the illness, COVID is more associated with a hypercoagulable state,” he said. “It is more associated with viral pneumonia on chest imaging, like the diffuse ground-glass infiltrates that we’ve all gotten used to seeing – but flu can do both of those things as well. So, without a test, it’s impossible to distinguish between the two infections in the clinic.”

But testing can have its shortcomings when flu season clashes with the COVID-19 pandemic. “Getting the test is not the same as getting the test results,” Dr. Solomon added. “Though a lot of people can get a test, if it takes 7 or 8 days to get the test result back, the result is useless.”

Widespread, rapid testing also depends on having adequate supplies of viral media transport and swabs. “I think that this is what we should be focusing on now: scaling up access to rapid turnaround testing,” he said. Distinguishing between the two is also important to preserve hospital resources. COVID-19 has more rigorous standards than flu for personal protective equipment and isolation of patients within the hospital.

Having chronic lung disease isn’t necessarily a risk factor for contracting COVID-19 or the flu, or both, Dr. Solomon said. “It’s a risk factor for having severe disease.” Again, he noted that flu vaccines are still necessary in these patients, as well as patients of advanced age and underlying medical conditions such as heart disease, diabetes, and obesity.

In managing children, it’s important to keep in mind that they communicate differently about their illnesses than adults, said Dr. Kaplan. “They may not have the words to tell you the same kind of thing that the adult tells you.” That’s where family members can help to flesh out the history. “They may present with an initially much milder form, if you will, where they’re not as critical up front, but then that small proportion of them comes back with the multi-inflammatory syndrome and then they are profoundly ill.”

Younger people make up a larger share of COVID-19 patients now, compared with the initial wave that hit the Northeast in the spring, Dr. Kaplan said. “We don’t know if that’s because the virus is a little different or the people that are getting sick are a little bit different.”

The COVID-19 strain now emerging may be less virulent than the strain that hit in early spring, he said. “That doesn’t mean that there aren’t still profoundly critical ill people with COVID of many different age ranges, that is true, but there are a lot of people that we now see will test positive, but aren’t really as profoundly ill as when it first landed here in the United States.”

That may be somewhat welcome as flu season arrives.

The physicians interviewed have no relevant disclosures.

The medical community is about to find out how prepared it is for the double whammy of influenza and COVID-19 that has been predicted for the fall of 2020. The complexities of diagnosis, management of vulnerable patients, and overflowing medical centers that have made the COVID-19 crisis so brutal may all be exacerbated by the arrival of seasonal influenza.

Lewis Jay Kaplan, MD, FCCP, a critical care surgeon at the University of Pennsylvania, Philadelphia, has seen his share of critically ill COVID-19 patients in the surgical ICU that he oversees. He’s approaching the upcoming flu season, poised to collide with the ongoing COVID-19 pandemic, ready to listen to each patient’s story to distinguish one from the other and determine treatment.

“The patients that have underlying comorbidities all have a story, and it’s up to you to figure out which chapter you’re in and how far along you happen to be,” he said. “It’s a very interesting approach to care, medical storytelling.”

With flu season closing in, pulmonologists are ruminating about how they’ll distinguish symptoms of COVID-19 and traditional influenza and how they’ll manage the most vulnerable patients, namely those with underlying respiratory disease and children. Influenza kills 12,000-61,000 people a year, according to the Centers for Disease Control, and results in 140,000-810,00 hospitalizations. Having a flu season in the midst of a pandemic of a disease with multiple overlapping symptoms threatens to overwhelm practitioners, hospitals, and the health system.

Dr. Kaplan said each patient’s story can point to the correct clinical approach. “Instead of just sharing data when you are on rounds, you’re really telling someone’s story.” It arises from a series of questions about how the disease has impacted them, specifics of their presentation, how their signs and symptoms differ from the usual, and how they responded to treatment. “It also helps you to then take what you’re doing, which can seem very, very complicated to individuals who are not medically sophisticated, and then help them to understand why you’re doing what you’re doing at this point.”

That can help get through to a patient with respiratory disease who insists he or she has or doesn’t have COVID-19 rather than the flu. “They form a different group that brings with them different fears and concerns, and you have to help them navigate that, too: all of this data and your decision-making around testing and admissions, and what you can omit doing and what you must do help them to navigate their own story,” Dr. Kaplan said.

Benjamin D. Singer, MD, a pulmonologist at Northwestern University, Chicago, authored an editorial in Science Advances that addressed four factors that will determine the scope of flu spread in the upcoming season: rate of transmission; vaccination rates; coinfection rates; and health disparities in minority populations, which are prone to higher rates of flu as well as COVID-19.
 

Flu vaccine ‘extra important’

The convergence of COVID-19 and influenza has the potential to overwhelm the health system, said Daniel A. Solomon, MD, of Brigham and Women’s in Boston. He coauthored a JAMA Insights clinical update on flu season during the COVID-19 pandemic that lists distinguishing and overlapping signs and symptoms of the two diseases.

The flu vaccine, he said, is “extra important this year,” especially in patients with existing respiratory disease, but COVID-19 has thrown up barriers to vaccination. Telemedicine has supplanted office visits. “People may miss that easy-touch opportunity to get the flu vaccine, so we have to be creative about making the flu vaccine highly accessible, maybe in nontraditional ways,” Dr. Solomon said. Some ideas he offered are pop-up vaccine fairs at schools and churches.

But just as COVID-19 may hinder flu vaccines, it may also be helping to mitigate flu transmission. “The interesting thing about transmission of the flu is that it’s transmitted the same way COVID is, so if we actually know how to decrease transmission of COVID, which we do – we’ve done it – we can actually decrease transmission of influenza as well,” Dr. Solomon said. Studies out of Hong Kong and Japan have reported a reduction in influenza cases during COVID-19 outbreaks in those places (Lancet Public Health. 2020;5:e279-88; JAMA. 2020;323:1969-71).
 

Risks of coinfection

About one in four COVID-19 patients have been diagnosed with an additional respiratory infection, including influenza (JAMA. 2020:323:2085-6). Pulmonologists must keep that in mind when managing COVID-19 suspects, said Dr. Singer.

“While it is true that most of the time COVID-19 travels alone, we have numerous examples in the literature and in our own experience that COVID-19 is accompanied by either another virus or another bacterial infection, including influenza,” Dr. Singer said. “The distinction is important. One is just for diagnostic reasons and public reporting reasons, but also because flu and COVID-19 have different requirements for how you care for patients in terms of the health system.”

Clinical suspicion for coinfection should remain high if the community spread of both COVID-19 and influenza is high, said Megan Conroy, MD, chief pulmonary and critical care fellow at Ohio State University, Columbus. “As the coronavirus first took hold in the United States in March 2020, we were at the tail end of influenza season, so it’s hard to predict what the upcoming influenza season will really look like with regards to coinfection.”
 

Distinguishing COVID-19 from flu

Multiple signs and symptoms between COVID-19 and the flu overlap. They include fever, chills, headache, myalgia, cough, and fatigue. Nasal congestion and sore throat are characteristic of the flu; shortness of breath and loss of the sense of smell have been widely reported in COVID-19. “While many upper respiratory infections can result in loss of smell, this may be more prevalent in COVID-19,” Dr. Conroy said. Other symptoms unique to COVID-19 are GI symptoms such as diarrhea and skin rashes such as acral ischemia.

Testing, however, is the cornerstone of the differential diagnosis. “You can’t confidently distinguish between them on symptoms alone,” Dr. Conroy added.

“I think the challenge we’ll face as clinicians, is caring for people with nonspecific symptoms of a respiratory viral illness, especially in the early phase of the illness,” said Dr. Solomon.

But even after that, symptoms can be difficult to distinguish.

“Later in the illness, COVID is more associated with a hypercoagulable state,” he said. “It is more associated with viral pneumonia on chest imaging, like the diffuse ground-glass infiltrates that we’ve all gotten used to seeing – but flu can do both of those things as well. So, without a test, it’s impossible to distinguish between the two infections in the clinic.”

But testing can have its shortcomings when flu season clashes with the COVID-19 pandemic. “Getting the test is not the same as getting the test results,” Dr. Solomon added. “Though a lot of people can get a test, if it takes 7 or 8 days to get the test result back, the result is useless.”

Widespread, rapid testing also depends on having adequate supplies of viral media transport and swabs. “I think that this is what we should be focusing on now: scaling up access to rapid turnaround testing,” he said. Distinguishing between the two is also important to preserve hospital resources. COVID-19 has more rigorous standards than flu for personal protective equipment and isolation of patients within the hospital.

Having chronic lung disease isn’t necessarily a risk factor for contracting COVID-19 or the flu, or both, Dr. Solomon said. “It’s a risk factor for having severe disease.” Again, he noted that flu vaccines are still necessary in these patients, as well as patients of advanced age and underlying medical conditions such as heart disease, diabetes, and obesity.

In managing children, it’s important to keep in mind that they communicate differently about their illnesses than adults, said Dr. Kaplan. “They may not have the words to tell you the same kind of thing that the adult tells you.” That’s where family members can help to flesh out the history. “They may present with an initially much milder form, if you will, where they’re not as critical up front, but then that small proportion of them comes back with the multi-inflammatory syndrome and then they are profoundly ill.”

Younger people make up a larger share of COVID-19 patients now, compared with the initial wave that hit the Northeast in the spring, Dr. Kaplan said. “We don’t know if that’s because the virus is a little different or the people that are getting sick are a little bit different.”

The COVID-19 strain now emerging may be less virulent than the strain that hit in early spring, he said. “That doesn’t mean that there aren’t still profoundly critical ill people with COVID of many different age ranges, that is true, but there are a lot of people that we now see will test positive, but aren’t really as profoundly ill as when it first landed here in the United States.”

That may be somewhat welcome as flu season arrives.

The physicians interviewed have no relevant disclosures.

The medical community is about to find out how prepared it is for the double whammy of influenza and COVID-19 that has been predicted for the fall of 2020. The complexities of diagnosis, management of vulnerable patients, and overflowing medical centers that have made the COVID-19 crisis so brutal may all be exacerbated by the arrival of seasonal influenza.

Lewis Jay Kaplan, MD, FCCP, a critical care surgeon at the University of Pennsylvania, Philadelphia, has seen his share of critically ill COVID-19 patients in the surgical ICU that he oversees. He’s approaching the upcoming flu season, poised to collide with the ongoing COVID-19 pandemic, ready to listen to each patient’s story to distinguish one from the other and determine treatment.

“The patients that have underlying comorbidities all have a story, and it’s up to you to figure out which chapter you’re in and how far along you happen to be,” he said. “It’s a very interesting approach to care, medical storytelling.”

With flu season closing in, pulmonologists are ruminating about how they’ll distinguish symptoms of COVID-19 and traditional influenza and how they’ll manage the most vulnerable patients, namely those with underlying respiratory disease and children. Influenza kills 12,000-61,000 people a year, according to the Centers for Disease Control, and results in 140,000-810,00 hospitalizations. Having a flu season in the midst of a pandemic of a disease with multiple overlapping symptoms threatens to overwhelm practitioners, hospitals, and the health system.

Dr. Kaplan said each patient’s story can point to the correct clinical approach. “Instead of just sharing data when you are on rounds, you’re really telling someone’s story.” It arises from a series of questions about how the disease has impacted them, specifics of their presentation, how their signs and symptoms differ from the usual, and how they responded to treatment. “It also helps you to then take what you’re doing, which can seem very, very complicated to individuals who are not medically sophisticated, and then help them to understand why you’re doing what you’re doing at this point.”

That can help get through to a patient with respiratory disease who insists he or she has or doesn’t have COVID-19 rather than the flu. “They form a different group that brings with them different fears and concerns, and you have to help them navigate that, too: all of this data and your decision-making around testing and admissions, and what you can omit doing and what you must do help them to navigate their own story,” Dr. Kaplan said.

Benjamin D. Singer, MD, a pulmonologist at Northwestern University, Chicago, authored an editorial in Science Advances that addressed four factors that will determine the scope of flu spread in the upcoming season: rate of transmission; vaccination rates; coinfection rates; and health disparities in minority populations, which are prone to higher rates of flu as well as COVID-19.
 

Flu vaccine ‘extra important’

The convergence of COVID-19 and influenza has the potential to overwhelm the health system, said Daniel A. Solomon, MD, of Brigham and Women’s in Boston. He coauthored a JAMA Insights clinical update on flu season during the COVID-19 pandemic that lists distinguishing and overlapping signs and symptoms of the two diseases.

The flu vaccine, he said, is “extra important this year,” especially in patients with existing respiratory disease, but COVID-19 has thrown up barriers to vaccination. Telemedicine has supplanted office visits. “People may miss that easy-touch opportunity to get the flu vaccine, so we have to be creative about making the flu vaccine highly accessible, maybe in nontraditional ways,” Dr. Solomon said. Some ideas he offered are pop-up vaccine fairs at schools and churches.

But just as COVID-19 may hinder flu vaccines, it may also be helping to mitigate flu transmission. “The interesting thing about transmission of the flu is that it’s transmitted the same way COVID is, so if we actually know how to decrease transmission of COVID, which we do – we’ve done it – we can actually decrease transmission of influenza as well,” Dr. Solomon said. Studies out of Hong Kong and Japan have reported a reduction in influenza cases during COVID-19 outbreaks in those places (Lancet Public Health. 2020;5:e279-88; JAMA. 2020;323:1969-71).
 

Risks of coinfection

About one in four COVID-19 patients have been diagnosed with an additional respiratory infection, including influenza (JAMA. 2020:323:2085-6). Pulmonologists must keep that in mind when managing COVID-19 suspects, said Dr. Singer.

“While it is true that most of the time COVID-19 travels alone, we have numerous examples in the literature and in our own experience that COVID-19 is accompanied by either another virus or another bacterial infection, including influenza,” Dr. Singer said. “The distinction is important. One is just for diagnostic reasons and public reporting reasons, but also because flu and COVID-19 have different requirements for how you care for patients in terms of the health system.”

Clinical suspicion for coinfection should remain high if the community spread of both COVID-19 and influenza is high, said Megan Conroy, MD, chief pulmonary and critical care fellow at Ohio State University, Columbus. “As the coronavirus first took hold in the United States in March 2020, we were at the tail end of influenza season, so it’s hard to predict what the upcoming influenza season will really look like with regards to coinfection.”
 

Distinguishing COVID-19 from flu

Multiple signs and symptoms between COVID-19 and the flu overlap. They include fever, chills, headache, myalgia, cough, and fatigue. Nasal congestion and sore throat are characteristic of the flu; shortness of breath and loss of the sense of smell have been widely reported in COVID-19. “While many upper respiratory infections can result in loss of smell, this may be more prevalent in COVID-19,” Dr. Conroy said. Other symptoms unique to COVID-19 are GI symptoms such as diarrhea and skin rashes such as acral ischemia.

Testing, however, is the cornerstone of the differential diagnosis. “You can’t confidently distinguish between them on symptoms alone,” Dr. Conroy added.

“I think the challenge we’ll face as clinicians, is caring for people with nonspecific symptoms of a respiratory viral illness, especially in the early phase of the illness,” said Dr. Solomon.

But even after that, symptoms can be difficult to distinguish.

“Later in the illness, COVID is more associated with a hypercoagulable state,” he said. “It is more associated with viral pneumonia on chest imaging, like the diffuse ground-glass infiltrates that we’ve all gotten used to seeing – but flu can do both of those things as well. So, without a test, it’s impossible to distinguish between the two infections in the clinic.”

But testing can have its shortcomings when flu season clashes with the COVID-19 pandemic. “Getting the test is not the same as getting the test results,” Dr. Solomon added. “Though a lot of people can get a test, if it takes 7 or 8 days to get the test result back, the result is useless.”

Widespread, rapid testing also depends on having adequate supplies of viral media transport and swabs. “I think that this is what we should be focusing on now: scaling up access to rapid turnaround testing,” he said. Distinguishing between the two is also important to preserve hospital resources. COVID-19 has more rigorous standards than flu for personal protective equipment and isolation of patients within the hospital.

Having chronic lung disease isn’t necessarily a risk factor for contracting COVID-19 or the flu, or both, Dr. Solomon said. “It’s a risk factor for having severe disease.” Again, he noted that flu vaccines are still necessary in these patients, as well as patients of advanced age and underlying medical conditions such as heart disease, diabetes, and obesity.

In managing children, it’s important to keep in mind that they communicate differently about their illnesses than adults, said Dr. Kaplan. “They may not have the words to tell you the same kind of thing that the adult tells you.” That’s where family members can help to flesh out the history. “They may present with an initially much milder form, if you will, where they’re not as critical up front, but then that small proportion of them comes back with the multi-inflammatory syndrome and then they are profoundly ill.”

Younger people make up a larger share of COVID-19 patients now, compared with the initial wave that hit the Northeast in the spring, Dr. Kaplan said. “We don’t know if that’s because the virus is a little different or the people that are getting sick are a little bit different.”

The COVID-19 strain now emerging may be less virulent than the strain that hit in early spring, he said. “That doesn’t mean that there aren’t still profoundly critical ill people with COVID of many different age ranges, that is true, but there are a lot of people that we now see will test positive, but aren’t really as profoundly ill as when it first landed here in the United States.”

That may be somewhat welcome as flu season arrives.

The physicians interviewed have no relevant disclosures.

The US Food and Drug Administration has approved phase one clinical trials for a synthetic cannabinoid drug designed to treat acute respiratory distress syndrome (ARDS), a life-threatening lung condition which may occur in severe cases of the novel coronavirus, Forbes reported.

ARDS can be triggered by over-creation of cytokines, proteins which tell the body to produce more inflammation, Forbes said.

The drug going to clinical trials, ARDS-003, would “dampen the cytokine release” and prevent development of ARDS, Tetra Bio-Pharma company CEO and chief regulatory officer Guy Chamberland, MD, said in a news release.

Consequences of ARDS include scarring of the lungs and organ injury caused by the decrease in blood to the tissue, the release said.

“The FDA repeatedly stated that they want clinical trials for COVID-19 to begin as soon as possible, as long as they meet regulatory requirements,” the news release said. “The medical community is in urgent need of drugs that can reduce the strength and duration of the severe inflammation. It is anticipated that this type of new drug would favorably impact health care and possibly reduce the negative health outcomes post infection.”

ARDS-003 works by binding to CB2 receptors, one of two main receptors in the endocannabinoid system which modulate inflammation and cytokine activity, Forbes said. CB2 receptors don’t bring on a psychoactive high.

Phase one clinical trials would begin enrolling participants in December to determine if the drug is safe, Chamberland said, according to Forbes.

If phase one is successful, phase two would test the drug on a larger group in the second quarter of 2021 to assess safety and tolerability for people who have COVID-19. 

If phase two is successful, the company may seek emergency authorization through the FDA, Chamberland said.  Phase three would start at the end of 2021.

Tetra Bio-Pharma says it has already contracted with Dalton Pharma Services to manufacture the active pharmaceutical ingredient (API), HU-308, and the finished drug product ARDS-003.
 

This article first appeared on Medscape.com.

The US Food and Drug Administration has approved phase one clinical trials for a synthetic cannabinoid drug designed to treat acute respiratory distress syndrome (ARDS), a life-threatening lung condition which may occur in severe cases of the novel coronavirus, Forbes reported.

ARDS can be triggered by over-creation of cytokines, proteins which tell the body to produce more inflammation, Forbes said.

The drug going to clinical trials, ARDS-003, would “dampen the cytokine release” and prevent development of ARDS, Tetra Bio-Pharma company CEO and chief regulatory officer Guy Chamberland, MD, said in a news release.

Consequences of ARDS include scarring of the lungs and organ injury caused by the decrease in blood to the tissue, the release said.

“The FDA repeatedly stated that they want clinical trials for COVID-19 to begin as soon as possible, as long as they meet regulatory requirements,” the news release said. “The medical community is in urgent need of drugs that can reduce the strength and duration of the severe inflammation. It is anticipated that this type of new drug would favorably impact health care and possibly reduce the negative health outcomes post infection.”

ARDS-003 works by binding to CB2 receptors, one of two main receptors in the endocannabinoid system which modulate inflammation and cytokine activity, Forbes said. CB2 receptors don’t bring on a psychoactive high.

Phase one clinical trials would begin enrolling participants in December to determine if the drug is safe, Chamberland said, according to Forbes.

If phase one is successful, phase two would test the drug on a larger group in the second quarter of 2021 to assess safety and tolerability for people who have COVID-19. 

If phase two is successful, the company may seek emergency authorization through the FDA, Chamberland said.  Phase three would start at the end of 2021.

Tetra Bio-Pharma says it has already contracted with Dalton Pharma Services to manufacture the active pharmaceutical ingredient (API), HU-308, and the finished drug product ARDS-003.
 

This article first appeared on Medscape.com.

The US Food and Drug Administration has approved phase one clinical trials for a synthetic cannabinoid drug designed to treat acute respiratory distress syndrome (ARDS), a life-threatening lung condition which may occur in severe cases of the novel coronavirus, Forbes reported.

ARDS can be triggered by over-creation of cytokines, proteins which tell the body to produce more inflammation, Forbes said.

The drug going to clinical trials, ARDS-003, would “dampen the cytokine release” and prevent development of ARDS, Tetra Bio-Pharma company CEO and chief regulatory officer Guy Chamberland, MD, said in a news release.

Consequences of ARDS include scarring of the lungs and organ injury caused by the decrease in blood to the tissue, the release said.

“The FDA repeatedly stated that they want clinical trials for COVID-19 to begin as soon as possible, as long as they meet regulatory requirements,” the news release said. “The medical community is in urgent need of drugs that can reduce the strength and duration of the severe inflammation. It is anticipated that this type of new drug would favorably impact health care and possibly reduce the negative health outcomes post infection.”

ARDS-003 works by binding to CB2 receptors, one of two main receptors in the endocannabinoid system which modulate inflammation and cytokine activity, Forbes said. CB2 receptors don’t bring on a psychoactive high.

Phase one clinical trials would begin enrolling participants in December to determine if the drug is safe, Chamberland said, according to Forbes.

If phase one is successful, phase two would test the drug on a larger group in the second quarter of 2021 to assess safety and tolerability for people who have COVID-19. 

If phase two is successful, the company may seek emergency authorization through the FDA, Chamberland said.  Phase three would start at the end of 2021.

Tetra Bio-Pharma says it has already contracted with Dalton Pharma Services to manufacture the active pharmaceutical ingredient (API), HU-308, and the finished drug product ARDS-003.
 

This article first appeared on Medscape.com.