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Cancer Identified Via Serum Metabolites, Lipids in Rheumatic Disease or Paraneoplasia
TOPLINE:
A diagnostic model based on the concentrations of four metabolites and one lipid ratio can reliably predict cancer in patients with rheumatic and musculoskeletal diseases (RMDs) or paraneoplasia, providing high sensitivity and specificity.
METHODOLOGY:
- The metabolome profile can differentiate between nonspecific inflammatory symptoms such as those associated with paraneoplastic conditions or RMDs, which can help accelerate cancer diagnosis and treatment.
- To assess if changes in the serum metabolome profile could indicate cancer in patients with RMD, researchers performed nuclear magnetic resonance analysis of the sera of patients with rheumatoid arthritis (RA) with a history of invasive cancer (n = 56; age, 69.9 years; 76.8% women) or without such history (n = 52; age, 56.1 years; 57.7% women).
- Blinded validation was conducted in a cohort of patients with RA or spondyloarthritis with or without a history of invasive cancer.
- Additionally, the model performance was tested in a cohort of patients having RA or spondyloarthritis with active cancer or cancer treatment, pulmonary and lymphoid type cancers, paraneoplastic syndromes, and facultative solid noninvasive precancerous lesions and nonmelanoma skin cancer; in samples prior to the development of malignancy; and in a cohort of patients with systemic lupus erythematosus (SLE).
- The final model comprised five variables. The goodness of fit of the model was described using the area under the receiver operating characteristic curve (AUC).
TAKEAWAY:
- Based on the concentrations of acetate, creatine, glycine, and formate and the L1/L6 lipid ratio, the diagnostic model yielded an excellent AUC (0.987) and high sensitivity (0.932) and specificity (0.946) for cancer diagnosis in patients with RA.
- The diagnostic model yielded an AUC of 0.937 in the blinded validation cohort of patients with RA and an AUC of 0.927 in the merged RA and spondyloarthritis cohort.
- Although the diagnostic model accurately diagnosed cancer in all the patients with paraneoplasia, it could do so accurately in only 50% of patients with noninvasive or in situ precancerous lesions and nonmelanoma skin cancers.
- The performance of the model was poor in the SLE cohort (AUC, 0.656), and it could not identify patients at risk for later invasive cancer development.
IN PRACTICE:
“This limited-invasive assay has considerable potential of high clinical value to facilitate timely diagnosis of cancer in paraneoplastic rheumatic syndromes as well as become a valuable active surveillance tool in RA and SpA [spondyloarthritis] patients with a high risk of developing cancer,” the authors wrote.
SOURCE:
The study, led by Karolina Gente, MHBA, Heidelberg University Hospital, Heidelberg, Germany, was published online on April 1, 2024, in Annals of the Rheumatic Diseases.
LIMITATIONS:
The limited invasiveness during sampling might account for the model’s inability to identify three early-stage, low-grade tumors and its nonreliability in identifying noninvasive facultative precancerous lesions and nonmelanoma skin cancers. Given its poor performance in the SLE cohort, the model may not be suitable for universal application in more systemic rheumatic diseases.
DISCLOSURES:
This study was supported by an unrestricted investigator-initiated grant from the Foundation Commission of the Medical Faculty, University of Heidelberg, Germany. The authors declared no conflicts of interest.
A version of this article appeared on Medscape.com.
TOPLINE:
A diagnostic model based on the concentrations of four metabolites and one lipid ratio can reliably predict cancer in patients with rheumatic and musculoskeletal diseases (RMDs) or paraneoplasia, providing high sensitivity and specificity.
METHODOLOGY:
- The metabolome profile can differentiate between nonspecific inflammatory symptoms such as those associated with paraneoplastic conditions or RMDs, which can help accelerate cancer diagnosis and treatment.
- To assess if changes in the serum metabolome profile could indicate cancer in patients with RMD, researchers performed nuclear magnetic resonance analysis of the sera of patients with rheumatoid arthritis (RA) with a history of invasive cancer (n = 56; age, 69.9 years; 76.8% women) or without such history (n = 52; age, 56.1 years; 57.7% women).
- Blinded validation was conducted in a cohort of patients with RA or spondyloarthritis with or without a history of invasive cancer.
- Additionally, the model performance was tested in a cohort of patients having RA or spondyloarthritis with active cancer or cancer treatment, pulmonary and lymphoid type cancers, paraneoplastic syndromes, and facultative solid noninvasive precancerous lesions and nonmelanoma skin cancer; in samples prior to the development of malignancy; and in a cohort of patients with systemic lupus erythematosus (SLE).
- The final model comprised five variables. The goodness of fit of the model was described using the area under the receiver operating characteristic curve (AUC).
TAKEAWAY:
- Based on the concentrations of acetate, creatine, glycine, and formate and the L1/L6 lipid ratio, the diagnostic model yielded an excellent AUC (0.987) and high sensitivity (0.932) and specificity (0.946) for cancer diagnosis in patients with RA.
- The diagnostic model yielded an AUC of 0.937 in the blinded validation cohort of patients with RA and an AUC of 0.927 in the merged RA and spondyloarthritis cohort.
- Although the diagnostic model accurately diagnosed cancer in all the patients with paraneoplasia, it could do so accurately in only 50% of patients with noninvasive or in situ precancerous lesions and nonmelanoma skin cancers.
- The performance of the model was poor in the SLE cohort (AUC, 0.656), and it could not identify patients at risk for later invasive cancer development.
IN PRACTICE:
“This limited-invasive assay has considerable potential of high clinical value to facilitate timely diagnosis of cancer in paraneoplastic rheumatic syndromes as well as become a valuable active surveillance tool in RA and SpA [spondyloarthritis] patients with a high risk of developing cancer,” the authors wrote.
SOURCE:
The study, led by Karolina Gente, MHBA, Heidelberg University Hospital, Heidelberg, Germany, was published online on April 1, 2024, in Annals of the Rheumatic Diseases.
LIMITATIONS:
The limited invasiveness during sampling might account for the model’s inability to identify three early-stage, low-grade tumors and its nonreliability in identifying noninvasive facultative precancerous lesions and nonmelanoma skin cancers. Given its poor performance in the SLE cohort, the model may not be suitable for universal application in more systemic rheumatic diseases.
DISCLOSURES:
This study was supported by an unrestricted investigator-initiated grant from the Foundation Commission of the Medical Faculty, University of Heidelberg, Germany. The authors declared no conflicts of interest.
A version of this article appeared on Medscape.com.
TOPLINE:
A diagnostic model based on the concentrations of four metabolites and one lipid ratio can reliably predict cancer in patients with rheumatic and musculoskeletal diseases (RMDs) or paraneoplasia, providing high sensitivity and specificity.
METHODOLOGY:
- The metabolome profile can differentiate between nonspecific inflammatory symptoms such as those associated with paraneoplastic conditions or RMDs, which can help accelerate cancer diagnosis and treatment.
- To assess if changes in the serum metabolome profile could indicate cancer in patients with RMD, researchers performed nuclear magnetic resonance analysis of the sera of patients with rheumatoid arthritis (RA) with a history of invasive cancer (n = 56; age, 69.9 years; 76.8% women) or without such history (n = 52; age, 56.1 years; 57.7% women).
- Blinded validation was conducted in a cohort of patients with RA or spondyloarthritis with or without a history of invasive cancer.
- Additionally, the model performance was tested in a cohort of patients having RA or spondyloarthritis with active cancer or cancer treatment, pulmonary and lymphoid type cancers, paraneoplastic syndromes, and facultative solid noninvasive precancerous lesions and nonmelanoma skin cancer; in samples prior to the development of malignancy; and in a cohort of patients with systemic lupus erythematosus (SLE).
- The final model comprised five variables. The goodness of fit of the model was described using the area under the receiver operating characteristic curve (AUC).
TAKEAWAY:
- Based on the concentrations of acetate, creatine, glycine, and formate and the L1/L6 lipid ratio, the diagnostic model yielded an excellent AUC (0.987) and high sensitivity (0.932) and specificity (0.946) for cancer diagnosis in patients with RA.
- The diagnostic model yielded an AUC of 0.937 in the blinded validation cohort of patients with RA and an AUC of 0.927 in the merged RA and spondyloarthritis cohort.
- Although the diagnostic model accurately diagnosed cancer in all the patients with paraneoplasia, it could do so accurately in only 50% of patients with noninvasive or in situ precancerous lesions and nonmelanoma skin cancers.
- The performance of the model was poor in the SLE cohort (AUC, 0.656), and it could not identify patients at risk for later invasive cancer development.
IN PRACTICE:
“This limited-invasive assay has considerable potential of high clinical value to facilitate timely diagnosis of cancer in paraneoplastic rheumatic syndromes as well as become a valuable active surveillance tool in RA and SpA [spondyloarthritis] patients with a high risk of developing cancer,” the authors wrote.
SOURCE:
The study, led by Karolina Gente, MHBA, Heidelberg University Hospital, Heidelberg, Germany, was published online on April 1, 2024, in Annals of the Rheumatic Diseases.
LIMITATIONS:
The limited invasiveness during sampling might account for the model’s inability to identify three early-stage, low-grade tumors and its nonreliability in identifying noninvasive facultative precancerous lesions and nonmelanoma skin cancers. Given its poor performance in the SLE cohort, the model may not be suitable for universal application in more systemic rheumatic diseases.
DISCLOSURES:
This study was supported by an unrestricted investigator-initiated grant from the Foundation Commission of the Medical Faculty, University of Heidelberg, Germany. The authors declared no conflicts of interest.
A version of this article appeared on Medscape.com.
Early Diagnosis Improves Clinical Outcomes in Psoriatic Arthritis
TOPLINE:
An earlier diagnosis of psoriatic arthritis (PsA) following symptom onset increases the likelihood of achieving improved clinical outcomes, highlighting the presence of a diagnostic window of opportunity in PsA.
METHODOLOGY:
- A diagnostic delay in PsA leads to increased joint erosions and functional impairment; however, whether a “window of opportunity” (< 12 weeks) exists in PsA requires further evaluation.
- Researchers assessed the impact of diagnostic delay on clinical outcomes in 708 newly diagnosed, disease-modifying antirheumatic drug-naive patients with PsA from the Dutch southwest Early PsA cohort.
- Total diagnostic delay was calculated as the time period between symptom onset and PsA diagnosis made by a rheumatologist.
- On the basis of the total diagnostic delay, patients were categorized into those with a short delay of < 12 weeks (n = 136), intermediate delay of 12 weeks to 1 year (n = 237), and a long delay of > 1 year (n = 335).
- The groups were compared for clinical (Minimal Disease Activity [MDA] and Disease Activity index for Psoriatic Arthritis [DAPSA] remission) and patient-reported outcomes during 3 years of follow-up.
TAKEAWAY:
- The probability of achieving MDA was higher in patients with a short vs long diagnostic delay (odds ratio [OR], 2.55; 95% CI, 1.37-4.76).
- Compared with patients in the long diagnostic delay group, those in the short (OR, 2.35; 95% CI, 1.32-4.19) and intermediate (OR, 1.94; 95% CI, 1.19-3.15) diagnostic delay groups were more likely to achieve DAPSA remission.
- Compared with patients in the long diagnostic delay group, those in the short (estimated mean difference [Δ], −1.09; 95% CI, −1.88 to −0.30) or intermediate (Δ, −0.85; 95% CI, −1.50 to −0.19) groups had slightly less tender joints.
IN PRACTICE:
“A delay of > 1 year is associated with worse clinical outcomes, which includes almost 50% of the PsA population” in this study, wrote the authors, adding that for better long-term outcomes, “it is important that PsA patients are diagnosed by a rheumatologist within 1 year after symptom onset.”
SOURCE:
This study, led by Selinde V.J. Snoeck Henkemans, MD, of the department of rheumatology at Erasmus University Medical Center, Rotterdam, the Netherlands, was published online February 27, 2024, in RMD Open.
LIMITATIONS:
The study’s dropout rates (25%-31% across groups) may have influenced the findings. Patients with a long diagnostic delay might have dropped out owing to treatment dissatisfaction, and those with a short or intermediate delay might have dropped out due to inactive disease.
DISCLOSURES:
This study did not declare any specific source of funding. The authors declared no conflicts of interest.
A version of this article appeared on Medscape.com.
TOPLINE:
An earlier diagnosis of psoriatic arthritis (PsA) following symptom onset increases the likelihood of achieving improved clinical outcomes, highlighting the presence of a diagnostic window of opportunity in PsA.
METHODOLOGY:
- A diagnostic delay in PsA leads to increased joint erosions and functional impairment; however, whether a “window of opportunity” (< 12 weeks) exists in PsA requires further evaluation.
- Researchers assessed the impact of diagnostic delay on clinical outcomes in 708 newly diagnosed, disease-modifying antirheumatic drug-naive patients with PsA from the Dutch southwest Early PsA cohort.
- Total diagnostic delay was calculated as the time period between symptom onset and PsA diagnosis made by a rheumatologist.
- On the basis of the total diagnostic delay, patients were categorized into those with a short delay of < 12 weeks (n = 136), intermediate delay of 12 weeks to 1 year (n = 237), and a long delay of > 1 year (n = 335).
- The groups were compared for clinical (Minimal Disease Activity [MDA] and Disease Activity index for Psoriatic Arthritis [DAPSA] remission) and patient-reported outcomes during 3 years of follow-up.
TAKEAWAY:
- The probability of achieving MDA was higher in patients with a short vs long diagnostic delay (odds ratio [OR], 2.55; 95% CI, 1.37-4.76).
- Compared with patients in the long diagnostic delay group, those in the short (OR, 2.35; 95% CI, 1.32-4.19) and intermediate (OR, 1.94; 95% CI, 1.19-3.15) diagnostic delay groups were more likely to achieve DAPSA remission.
- Compared with patients in the long diagnostic delay group, those in the short (estimated mean difference [Δ], −1.09; 95% CI, −1.88 to −0.30) or intermediate (Δ, −0.85; 95% CI, −1.50 to −0.19) groups had slightly less tender joints.
IN PRACTICE:
“A delay of > 1 year is associated with worse clinical outcomes, which includes almost 50% of the PsA population” in this study, wrote the authors, adding that for better long-term outcomes, “it is important that PsA patients are diagnosed by a rheumatologist within 1 year after symptom onset.”
SOURCE:
This study, led by Selinde V.J. Snoeck Henkemans, MD, of the department of rheumatology at Erasmus University Medical Center, Rotterdam, the Netherlands, was published online February 27, 2024, in RMD Open.
LIMITATIONS:
The study’s dropout rates (25%-31% across groups) may have influenced the findings. Patients with a long diagnostic delay might have dropped out owing to treatment dissatisfaction, and those with a short or intermediate delay might have dropped out due to inactive disease.
DISCLOSURES:
This study did not declare any specific source of funding. The authors declared no conflicts of interest.
A version of this article appeared on Medscape.com.
TOPLINE:
An earlier diagnosis of psoriatic arthritis (PsA) following symptom onset increases the likelihood of achieving improved clinical outcomes, highlighting the presence of a diagnostic window of opportunity in PsA.
METHODOLOGY:
- A diagnostic delay in PsA leads to increased joint erosions and functional impairment; however, whether a “window of opportunity” (< 12 weeks) exists in PsA requires further evaluation.
- Researchers assessed the impact of diagnostic delay on clinical outcomes in 708 newly diagnosed, disease-modifying antirheumatic drug-naive patients with PsA from the Dutch southwest Early PsA cohort.
- Total diagnostic delay was calculated as the time period between symptom onset and PsA diagnosis made by a rheumatologist.
- On the basis of the total diagnostic delay, patients were categorized into those with a short delay of < 12 weeks (n = 136), intermediate delay of 12 weeks to 1 year (n = 237), and a long delay of > 1 year (n = 335).
- The groups were compared for clinical (Minimal Disease Activity [MDA] and Disease Activity index for Psoriatic Arthritis [DAPSA] remission) and patient-reported outcomes during 3 years of follow-up.
TAKEAWAY:
- The probability of achieving MDA was higher in patients with a short vs long diagnostic delay (odds ratio [OR], 2.55; 95% CI, 1.37-4.76).
- Compared with patients in the long diagnostic delay group, those in the short (OR, 2.35; 95% CI, 1.32-4.19) and intermediate (OR, 1.94; 95% CI, 1.19-3.15) diagnostic delay groups were more likely to achieve DAPSA remission.
- Compared with patients in the long diagnostic delay group, those in the short (estimated mean difference [Δ], −1.09; 95% CI, −1.88 to −0.30) or intermediate (Δ, −0.85; 95% CI, −1.50 to −0.19) groups had slightly less tender joints.
IN PRACTICE:
“A delay of > 1 year is associated with worse clinical outcomes, which includes almost 50% of the PsA population” in this study, wrote the authors, adding that for better long-term outcomes, “it is important that PsA patients are diagnosed by a rheumatologist within 1 year after symptom onset.”
SOURCE:
This study, led by Selinde V.J. Snoeck Henkemans, MD, of the department of rheumatology at Erasmus University Medical Center, Rotterdam, the Netherlands, was published online February 27, 2024, in RMD Open.
LIMITATIONS:
The study’s dropout rates (25%-31% across groups) may have influenced the findings. Patients with a long diagnostic delay might have dropped out owing to treatment dissatisfaction, and those with a short or intermediate delay might have dropped out due to inactive disease.
DISCLOSURES:
This study did not declare any specific source of funding. The authors declared no conflicts of interest.
A version of this article appeared on Medscape.com.
Safe Steroid Tapering in Lupus: Reducing Flares, Damage
TOPLINE:
Tapering glucocorticoids (GCs) does not increase the risk for flare in modified serologically active clinically quiescent (mSACQ) patients with systemic lupus erythematosus (SLE) with a low daily exposure to GC.
METHODOLOGY:
- Previous research has indicated that SACQ SLE is associated with an increased risk for flare after low-dose GC withdrawal.
- Researchers assessed the risk for flare and damage accrual after tapering GCs in mSACQ patients with SLE.
- They used data from the Asia Pacific Lupus Collaboration (APLC) to study 1850 patients (mean age, 40 years; 91.6% women) who met the criteria for SLE, including the definition of mSACQ at least once during observation and being followed up for 2 years after the first mSACQ visit.
- mSACQ was defined as a condition with serological activity but without clinical activity managed with ≤ 7.5 mg/d of -equivalent GCs, regardless of duration.
- The primary outcome was disease flare (both severe and overall) on the basis of the SELENA-SLEDAI flare index definitions.
TAKEAWAY:
- A total of 742 patients experienced an overall flare, 271 experienced a severe flare, and 180 experienced damage accrual.
- Reducing the prednisolone-equivalent GC dosage by 1 mg/d did not increase the risk for an overall (P = .27) or severe (P = .11) flare in patients initially on prednisolone-equivalent GC dosages of 0-7.5 mg/d.
- Antimalarial use decreased the risk for overall (hazard ratio [HR], 0.78; P = .002) and severe (HR, 0.59; P < .001) flares, and immunosuppressant use decreased the risk for severe flares (HR, 0.77; P = .043) but not overall flares.
- Reducing the GC dosage by 1 mg/d reduced the risk for damage accrual by 4% in patients who started taking prednisolone at a dose > 5 but ≤ 7.5 mg/d (P = .007).
IN PRACTICE:
“Cautious tapering of GCs is a feasible option for mSACQ-SLE with low daily exposure to GCs (≤ 7.5 mg/d of prednisolone-equivalent) and can reduce GC burden,” wrote the authors.
SOURCE:
The study, led by Yasuhiro Katsumata, Division of Rheumatology, Tokyo Women’s Medical University School of Medicine, Tokyo, Japan, was published online in Annals of the Rheumatic Diseases.
LIMITATIONS:
The data were collected retrospectively. A short follow-up duration might have prevented the demonstration of clear benefits in terms of damage accrual among patients receiving < 5 mg of GCs. Moreover, the findings may have limited generalizability as the majority of patients had Asian ancestry.
DISCLOSURES:
This work was supported by grants and funding from AstraZeneca, Bristol-Myers Squibb, Eli Lily, Janssen, Merck Serono, UCB, GlaxoSmithKline, Australia, and others to APLC. Some of the authors declared receiving honoraria, consulting fees, research grants, and research support from various sources.
A version of this article appeared on Medscape.com.
TOPLINE:
Tapering glucocorticoids (GCs) does not increase the risk for flare in modified serologically active clinically quiescent (mSACQ) patients with systemic lupus erythematosus (SLE) with a low daily exposure to GC.
METHODOLOGY:
- Previous research has indicated that SACQ SLE is associated with an increased risk for flare after low-dose GC withdrawal.
- Researchers assessed the risk for flare and damage accrual after tapering GCs in mSACQ patients with SLE.
- They used data from the Asia Pacific Lupus Collaboration (APLC) to study 1850 patients (mean age, 40 years; 91.6% women) who met the criteria for SLE, including the definition of mSACQ at least once during observation and being followed up for 2 years after the first mSACQ visit.
- mSACQ was defined as a condition with serological activity but without clinical activity managed with ≤ 7.5 mg/d of -equivalent GCs, regardless of duration.
- The primary outcome was disease flare (both severe and overall) on the basis of the SELENA-SLEDAI flare index definitions.
TAKEAWAY:
- A total of 742 patients experienced an overall flare, 271 experienced a severe flare, and 180 experienced damage accrual.
- Reducing the prednisolone-equivalent GC dosage by 1 mg/d did not increase the risk for an overall (P = .27) or severe (P = .11) flare in patients initially on prednisolone-equivalent GC dosages of 0-7.5 mg/d.
- Antimalarial use decreased the risk for overall (hazard ratio [HR], 0.78; P = .002) and severe (HR, 0.59; P < .001) flares, and immunosuppressant use decreased the risk for severe flares (HR, 0.77; P = .043) but not overall flares.
- Reducing the GC dosage by 1 mg/d reduced the risk for damage accrual by 4% in patients who started taking prednisolone at a dose > 5 but ≤ 7.5 mg/d (P = .007).
IN PRACTICE:
“Cautious tapering of GCs is a feasible option for mSACQ-SLE with low daily exposure to GCs (≤ 7.5 mg/d of prednisolone-equivalent) and can reduce GC burden,” wrote the authors.
SOURCE:
The study, led by Yasuhiro Katsumata, Division of Rheumatology, Tokyo Women’s Medical University School of Medicine, Tokyo, Japan, was published online in Annals of the Rheumatic Diseases.
LIMITATIONS:
The data were collected retrospectively. A short follow-up duration might have prevented the demonstration of clear benefits in terms of damage accrual among patients receiving < 5 mg of GCs. Moreover, the findings may have limited generalizability as the majority of patients had Asian ancestry.
DISCLOSURES:
This work was supported by grants and funding from AstraZeneca, Bristol-Myers Squibb, Eli Lily, Janssen, Merck Serono, UCB, GlaxoSmithKline, Australia, and others to APLC. Some of the authors declared receiving honoraria, consulting fees, research grants, and research support from various sources.
A version of this article appeared on Medscape.com.
TOPLINE:
Tapering glucocorticoids (GCs) does not increase the risk for flare in modified serologically active clinically quiescent (mSACQ) patients with systemic lupus erythematosus (SLE) with a low daily exposure to GC.
METHODOLOGY:
- Previous research has indicated that SACQ SLE is associated with an increased risk for flare after low-dose GC withdrawal.
- Researchers assessed the risk for flare and damage accrual after tapering GCs in mSACQ patients with SLE.
- They used data from the Asia Pacific Lupus Collaboration (APLC) to study 1850 patients (mean age, 40 years; 91.6% women) who met the criteria for SLE, including the definition of mSACQ at least once during observation and being followed up for 2 years after the first mSACQ visit.
- mSACQ was defined as a condition with serological activity but without clinical activity managed with ≤ 7.5 mg/d of -equivalent GCs, regardless of duration.
- The primary outcome was disease flare (both severe and overall) on the basis of the SELENA-SLEDAI flare index definitions.
TAKEAWAY:
- A total of 742 patients experienced an overall flare, 271 experienced a severe flare, and 180 experienced damage accrual.
- Reducing the prednisolone-equivalent GC dosage by 1 mg/d did not increase the risk for an overall (P = .27) or severe (P = .11) flare in patients initially on prednisolone-equivalent GC dosages of 0-7.5 mg/d.
- Antimalarial use decreased the risk for overall (hazard ratio [HR], 0.78; P = .002) and severe (HR, 0.59; P < .001) flares, and immunosuppressant use decreased the risk for severe flares (HR, 0.77; P = .043) but not overall flares.
- Reducing the GC dosage by 1 mg/d reduced the risk for damage accrual by 4% in patients who started taking prednisolone at a dose > 5 but ≤ 7.5 mg/d (P = .007).
IN PRACTICE:
“Cautious tapering of GCs is a feasible option for mSACQ-SLE with low daily exposure to GCs (≤ 7.5 mg/d of prednisolone-equivalent) and can reduce GC burden,” wrote the authors.
SOURCE:
The study, led by Yasuhiro Katsumata, Division of Rheumatology, Tokyo Women’s Medical University School of Medicine, Tokyo, Japan, was published online in Annals of the Rheumatic Diseases.
LIMITATIONS:
The data were collected retrospectively. A short follow-up duration might have prevented the demonstration of clear benefits in terms of damage accrual among patients receiving < 5 mg of GCs. Moreover, the findings may have limited generalizability as the majority of patients had Asian ancestry.
DISCLOSURES:
This work was supported by grants and funding from AstraZeneca, Bristol-Myers Squibb, Eli Lily, Janssen, Merck Serono, UCB, GlaxoSmithKline, Australia, and others to APLC. Some of the authors declared receiving honoraria, consulting fees, research grants, and research support from various sources.
A version of this article appeared on Medscape.com.
Lower Medication Costs Cut Diabetes Complications
TOPLINE:
A value-based medication plan that lowers out-of-pocket costs for antidiabetic medications reduces health complications in commercially insured individuals with diabetes, especially those living in lower-income areas.
METHODOLOGY:
- Researchers assessed the 1-year impact on type 2 diabetes outcomes from a preventive drug list (PDL), which employers can add to plans to reduce out-of-pocket costs (copayments or deductibles) for high-value preventive medications.
- Using data from a national insurer, they identified 10,588 members with diabetes newly enrolled in PDL plans between January 2004 and June 2017 (age, 12-64 years; 44.8% women; 45.5% from the South; 33.4% from employers with < 100 enrollees).
- The members with diabetes on a PDL plan for a full follow-up year were matched and weighted against 690,075 control participants whose employers did not offer PDL.
- In a subgroup analysis, health outcomes for members with diabetes residing in lower-income neighborhoods (53.1%) were evaluated.
- The primary outcome was acute, preventable diabetes complications, such as bacterial infections, neurovascular events, acute coronary disease, and diabetic ketoacidosis, measured as complication days per 1000 members per year.
TAKEAWAY:
- Out-of-pocket costs for noninsulin antidiabetic agents and insulin declined by 30.7% and 38.6%, respectively, in the PDL group vs controls.
- The 30-day prescription fills for noninsulin and insulin antidiabetic medication increased by 7.1% (95% CI, 5.0%-9.3%) and 5.3% (95% CI, 2.2%-8.4%), respectively, among PDL members and was slightly higher among PDL members residing in low-income areas.
- The PDL transition was associated with an 8.4% relative reduction (95% CI, −13.9% to −2.8%) in complication days overall (absolute reduction, −20.2 days per 1000 members per year).
- Among members from lower-income areas, PDL transition was associated with a 10.2% relative reduction (95% CI, −17.4% to −3.0%) in complication days (absolute reduction, −26.1 per 1000 members per year) compared with controls.
IN PRACTICE:
“Targeting out-of-pocket cost reductions to specific populations, in this case patients with diabetes from lower-income areas, might enhance health outcomes,” wrote the authors.
SOURCE:
The study was conducted by J. Franklin Wharam, MD, MPH, Department of Medicine, Duke University, Durham, North Carolina. It was published online in JAMA Health Forum.
LIMITATIONS:
The findings may be generalized only to patients with diabetes enrolled in commercial health plans. Instead of being randomized, the PDL coverage was chosen by certain employers. Moreover, only outcomes associated with new PDL enrollment over a single year were evaluated.
DISCLOSURES:
The study was funded by grants from the Centers for Disease Control and Prevention and National Institute of Diabetes and Digestive and Kidney Diseases. One of the authors reported receiving postmarket safety study stipends from Pfizer and GlaxoSmithKline outside the submitted work.
A version of this article appeared on Medscape.com.
TOPLINE:
A value-based medication plan that lowers out-of-pocket costs for antidiabetic medications reduces health complications in commercially insured individuals with diabetes, especially those living in lower-income areas.
METHODOLOGY:
- Researchers assessed the 1-year impact on type 2 diabetes outcomes from a preventive drug list (PDL), which employers can add to plans to reduce out-of-pocket costs (copayments or deductibles) for high-value preventive medications.
- Using data from a national insurer, they identified 10,588 members with diabetes newly enrolled in PDL plans between January 2004 and June 2017 (age, 12-64 years; 44.8% women; 45.5% from the South; 33.4% from employers with < 100 enrollees).
- The members with diabetes on a PDL plan for a full follow-up year were matched and weighted against 690,075 control participants whose employers did not offer PDL.
- In a subgroup analysis, health outcomes for members with diabetes residing in lower-income neighborhoods (53.1%) were evaluated.
- The primary outcome was acute, preventable diabetes complications, such as bacterial infections, neurovascular events, acute coronary disease, and diabetic ketoacidosis, measured as complication days per 1000 members per year.
TAKEAWAY:
- Out-of-pocket costs for noninsulin antidiabetic agents and insulin declined by 30.7% and 38.6%, respectively, in the PDL group vs controls.
- The 30-day prescription fills for noninsulin and insulin antidiabetic medication increased by 7.1% (95% CI, 5.0%-9.3%) and 5.3% (95% CI, 2.2%-8.4%), respectively, among PDL members and was slightly higher among PDL members residing in low-income areas.
- The PDL transition was associated with an 8.4% relative reduction (95% CI, −13.9% to −2.8%) in complication days overall (absolute reduction, −20.2 days per 1000 members per year).
- Among members from lower-income areas, PDL transition was associated with a 10.2% relative reduction (95% CI, −17.4% to −3.0%) in complication days (absolute reduction, −26.1 per 1000 members per year) compared with controls.
IN PRACTICE:
“Targeting out-of-pocket cost reductions to specific populations, in this case patients with diabetes from lower-income areas, might enhance health outcomes,” wrote the authors.
SOURCE:
The study was conducted by J. Franklin Wharam, MD, MPH, Department of Medicine, Duke University, Durham, North Carolina. It was published online in JAMA Health Forum.
LIMITATIONS:
The findings may be generalized only to patients with diabetes enrolled in commercial health plans. Instead of being randomized, the PDL coverage was chosen by certain employers. Moreover, only outcomes associated with new PDL enrollment over a single year were evaluated.
DISCLOSURES:
The study was funded by grants from the Centers for Disease Control and Prevention and National Institute of Diabetes and Digestive and Kidney Diseases. One of the authors reported receiving postmarket safety study stipends from Pfizer and GlaxoSmithKline outside the submitted work.
A version of this article appeared on Medscape.com.
TOPLINE:
A value-based medication plan that lowers out-of-pocket costs for antidiabetic medications reduces health complications in commercially insured individuals with diabetes, especially those living in lower-income areas.
METHODOLOGY:
- Researchers assessed the 1-year impact on type 2 diabetes outcomes from a preventive drug list (PDL), which employers can add to plans to reduce out-of-pocket costs (copayments or deductibles) for high-value preventive medications.
- Using data from a national insurer, they identified 10,588 members with diabetes newly enrolled in PDL plans between January 2004 and June 2017 (age, 12-64 years; 44.8% women; 45.5% from the South; 33.4% from employers with < 100 enrollees).
- The members with diabetes on a PDL plan for a full follow-up year were matched and weighted against 690,075 control participants whose employers did not offer PDL.
- In a subgroup analysis, health outcomes for members with diabetes residing in lower-income neighborhoods (53.1%) were evaluated.
- The primary outcome was acute, preventable diabetes complications, such as bacterial infections, neurovascular events, acute coronary disease, and diabetic ketoacidosis, measured as complication days per 1000 members per year.
TAKEAWAY:
- Out-of-pocket costs for noninsulin antidiabetic agents and insulin declined by 30.7% and 38.6%, respectively, in the PDL group vs controls.
- The 30-day prescription fills for noninsulin and insulin antidiabetic medication increased by 7.1% (95% CI, 5.0%-9.3%) and 5.3% (95% CI, 2.2%-8.4%), respectively, among PDL members and was slightly higher among PDL members residing in low-income areas.
- The PDL transition was associated with an 8.4% relative reduction (95% CI, −13.9% to −2.8%) in complication days overall (absolute reduction, −20.2 days per 1000 members per year).
- Among members from lower-income areas, PDL transition was associated with a 10.2% relative reduction (95% CI, −17.4% to −3.0%) in complication days (absolute reduction, −26.1 per 1000 members per year) compared with controls.
IN PRACTICE:
“Targeting out-of-pocket cost reductions to specific populations, in this case patients with diabetes from lower-income areas, might enhance health outcomes,” wrote the authors.
SOURCE:
The study was conducted by J. Franklin Wharam, MD, MPH, Department of Medicine, Duke University, Durham, North Carolina. It was published online in JAMA Health Forum.
LIMITATIONS:
The findings may be generalized only to patients with diabetes enrolled in commercial health plans. Instead of being randomized, the PDL coverage was chosen by certain employers. Moreover, only outcomes associated with new PDL enrollment over a single year were evaluated.
DISCLOSURES:
The study was funded by grants from the Centers for Disease Control and Prevention and National Institute of Diabetes and Digestive and Kidney Diseases. One of the authors reported receiving postmarket safety study stipends from Pfizer and GlaxoSmithKline outside the submitted work.
A version of this article appeared on Medscape.com.
Two-Step Screening Uncovers Heart Failure Risk in Diabetes
TOPLINE:
A two-step screening, using a risk score and biomarkers, can identify patients with diabetes at a higher risk for heart failure who will most likely benefit from preventive drugs.
METHODOLOGY:
- Researchers compared screening methods and downstream risk for heart failure in 5 years, particularly those without atherosclerotic cardiovascular disease (ASCVD).
- They pooled data from 4889 patients (age ≥ 40 years, about half women) with diabetes, no heart failure at baseline, and no signs of ASCVD. All patients had undergone screening to determine their heart failure risk level.
- Researchers assessed the heart failure risk for patients without ASCVD with one-step screening strategies:
- —Clinical risk score (WATCH-DM risk score)
- —Biomarker tests (N-terminal pro-B-type natriuretic peptide [NT-proBNP]) or high-sensitivity cardiac troponin [hs-cTn)
- —Echocardiography
- They next assessed a sequential two-step strategy, using the second test only for those deemed low risk by the first, with a combination of two tests (WATCH-DM/NT-proBNP, NT-proBNP/hs-cTn, or NT-proBNP/echocardiography), the second used for those deemed low-risk by the first test.
- The primary outcome was incident heart failure during the 5-year follow-up. The researchers also assessed the cost-effectiveness of screening and subsequent treatment of high-risk patients with a sodium-glucose cotransporter 2 inhibitor.
TAKEAWAY:
- Overall, 301 (6.2%) heart failure events occurred among participants without ASCVD.
- Of the heart failure events, 53%-71% occurred among participants deemed high risk by a one-step screening strategy, but 75%-89% occurred among patients assessed as high risk in two steps.
- The risk for incident heart failure was 3.0- to 3.6-fold higher in the high- vs low-risk group identified using a two-step screening approach.
- Among the two-step strategies, the WATCH-DM score first, followed by selective NT-proBNP testing for patients deemed low risk by the first test, was the most efficient, with the fewest tests and lowest screening cost.
IN PRACTICE:
“Matching effective but expensive preventive therapies to the highest-risk individuals who are most likely to benefit would be an efficient and cost-effective strategy for heart failure prevention,” the authors wrote.
SOURCE:
The study, led by Kershaw Patel of the Houston Methodist Academic Institute, was published online in Circulation.
LIMITATIONS:
The study findings may not be generalized, as the study included older adults with a high burden of comorbidities. This study may have missed some individuals with diabetes by defining it with fasting plasma glucose, which was consistently available across cohort studies, instead of with the limited A1c data. Moreover, the screening strategies used did not consider other important prognostic factors, such as diabetes duration and socioeconomic status.
DISCLOSURES:
Two authors declared receiving research support from the National Heart, Lung, and Blood Institute. Several authors disclosed financial relationships with multiple pharmaceutical device and medical publishing companies in the form of receiving personal fees; serving in various capacities such as consultants, members of advisory boards, steering committees, or executive committees; and other ties.
A version of this article appeared on Medscape.com.
TOPLINE:
A two-step screening, using a risk score and biomarkers, can identify patients with diabetes at a higher risk for heart failure who will most likely benefit from preventive drugs.
METHODOLOGY:
- Researchers compared screening methods and downstream risk for heart failure in 5 years, particularly those without atherosclerotic cardiovascular disease (ASCVD).
- They pooled data from 4889 patients (age ≥ 40 years, about half women) with diabetes, no heart failure at baseline, and no signs of ASCVD. All patients had undergone screening to determine their heart failure risk level.
- Researchers assessed the heart failure risk for patients without ASCVD with one-step screening strategies:
- —Clinical risk score (WATCH-DM risk score)
- —Biomarker tests (N-terminal pro-B-type natriuretic peptide [NT-proBNP]) or high-sensitivity cardiac troponin [hs-cTn)
- —Echocardiography
- They next assessed a sequential two-step strategy, using the second test only for those deemed low risk by the first, with a combination of two tests (WATCH-DM/NT-proBNP, NT-proBNP/hs-cTn, or NT-proBNP/echocardiography), the second used for those deemed low-risk by the first test.
- The primary outcome was incident heart failure during the 5-year follow-up. The researchers also assessed the cost-effectiveness of screening and subsequent treatment of high-risk patients with a sodium-glucose cotransporter 2 inhibitor.
TAKEAWAY:
- Overall, 301 (6.2%) heart failure events occurred among participants without ASCVD.
- Of the heart failure events, 53%-71% occurred among participants deemed high risk by a one-step screening strategy, but 75%-89% occurred among patients assessed as high risk in two steps.
- The risk for incident heart failure was 3.0- to 3.6-fold higher in the high- vs low-risk group identified using a two-step screening approach.
- Among the two-step strategies, the WATCH-DM score first, followed by selective NT-proBNP testing for patients deemed low risk by the first test, was the most efficient, with the fewest tests and lowest screening cost.
IN PRACTICE:
“Matching effective but expensive preventive therapies to the highest-risk individuals who are most likely to benefit would be an efficient and cost-effective strategy for heart failure prevention,” the authors wrote.
SOURCE:
The study, led by Kershaw Patel of the Houston Methodist Academic Institute, was published online in Circulation.
LIMITATIONS:
The study findings may not be generalized, as the study included older adults with a high burden of comorbidities. This study may have missed some individuals with diabetes by defining it with fasting plasma glucose, which was consistently available across cohort studies, instead of with the limited A1c data. Moreover, the screening strategies used did not consider other important prognostic factors, such as diabetes duration and socioeconomic status.
DISCLOSURES:
Two authors declared receiving research support from the National Heart, Lung, and Blood Institute. Several authors disclosed financial relationships with multiple pharmaceutical device and medical publishing companies in the form of receiving personal fees; serving in various capacities such as consultants, members of advisory boards, steering committees, or executive committees; and other ties.
A version of this article appeared on Medscape.com.
TOPLINE:
A two-step screening, using a risk score and biomarkers, can identify patients with diabetes at a higher risk for heart failure who will most likely benefit from preventive drugs.
METHODOLOGY:
- Researchers compared screening methods and downstream risk for heart failure in 5 years, particularly those without atherosclerotic cardiovascular disease (ASCVD).
- They pooled data from 4889 patients (age ≥ 40 years, about half women) with diabetes, no heart failure at baseline, and no signs of ASCVD. All patients had undergone screening to determine their heart failure risk level.
- Researchers assessed the heart failure risk for patients without ASCVD with one-step screening strategies:
- —Clinical risk score (WATCH-DM risk score)
- —Biomarker tests (N-terminal pro-B-type natriuretic peptide [NT-proBNP]) or high-sensitivity cardiac troponin [hs-cTn)
- —Echocardiography
- They next assessed a sequential two-step strategy, using the second test only for those deemed low risk by the first, with a combination of two tests (WATCH-DM/NT-proBNP, NT-proBNP/hs-cTn, or NT-proBNP/echocardiography), the second used for those deemed low-risk by the first test.
- The primary outcome was incident heart failure during the 5-year follow-up. The researchers also assessed the cost-effectiveness of screening and subsequent treatment of high-risk patients with a sodium-glucose cotransporter 2 inhibitor.
TAKEAWAY:
- Overall, 301 (6.2%) heart failure events occurred among participants without ASCVD.
- Of the heart failure events, 53%-71% occurred among participants deemed high risk by a one-step screening strategy, but 75%-89% occurred among patients assessed as high risk in two steps.
- The risk for incident heart failure was 3.0- to 3.6-fold higher in the high- vs low-risk group identified using a two-step screening approach.
- Among the two-step strategies, the WATCH-DM score first, followed by selective NT-proBNP testing for patients deemed low risk by the first test, was the most efficient, with the fewest tests and lowest screening cost.
IN PRACTICE:
“Matching effective but expensive preventive therapies to the highest-risk individuals who are most likely to benefit would be an efficient and cost-effective strategy for heart failure prevention,” the authors wrote.
SOURCE:
The study, led by Kershaw Patel of the Houston Methodist Academic Institute, was published online in Circulation.
LIMITATIONS:
The study findings may not be generalized, as the study included older adults with a high burden of comorbidities. This study may have missed some individuals with diabetes by defining it with fasting plasma glucose, which was consistently available across cohort studies, instead of with the limited A1c data. Moreover, the screening strategies used did not consider other important prognostic factors, such as diabetes duration and socioeconomic status.
DISCLOSURES:
Two authors declared receiving research support from the National Heart, Lung, and Blood Institute. Several authors disclosed financial relationships with multiple pharmaceutical device and medical publishing companies in the form of receiving personal fees; serving in various capacities such as consultants, members of advisory boards, steering committees, or executive committees; and other ties.
A version of this article appeared on Medscape.com.
Light Activity in Childhood May Lower Cholesterol
TOPLINE:
Light physical activity during childhood may lower blood cholesterol levels more effectively than moderate to vigorous physical activity, regardless of body fat mass.
METHODOLOGY:
- Researchers analyzed the data of 792 children (58% females) from the Avon Longitudinal Study of Parents and Children (ALSPAC) UK birth cohort.
- The measures included accelerometer-based sedentary time, light physical activity, and moderate to vigorous physical activity at ages 11, 15, and 24 years.
- The children had complete measurements of fasting high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglyceride, and total cholesterol levels at ages 15 , 17, and 24 years.
- Data also included measures of body mass, composition (fat and lean mass), insulin resistance, inflammation, and other cardiometabolic, socioeconomic, and lifestyle factors.
- The researchers conducted two types of analyses: Mediation path, to examine how fat and lean body mass affected longitudinal associations of activity level with blood lipids over 13 years, and temporal path, to look at temporal relationships between activity and lipid levels at ages 15 and 24 years only.
TAKEAWAY:
- Higher cumulative light physical activity from childhood through young adulthood was associated with a fivefold to eightfold decrease in total cholesterol, while total body fat mass decreased the impact of light physical activity on total cholesterol by 6%.
- Higher cumulative moderate to vigorous physical activity over 13 years led to a modest decrease in total cholesterol, an effect reduced to nonsignificance by the presence of higher fat mass.
- More cumulative sedentary time was associated with increasing total cholesterol.
IN PRACTICE:
“Light physical activity provides an opportunity for persons with obesity to follow a path to potentially benefit from the lipid-lowering effect of mild exercise,» wrote the author.
SOURCE:
Andrew O. Agbaje, from the Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland, conducted this study. It was published online December 14, 2023, in the Journal of Clinical Endocrinology and Metabolism.
LIMITATIONS:
The study included mostly White participants, so the findings might not apply to diverse racial and ethnic groups. The accelerometer data were gathered using a 60-second epoch, a duration known to underestimate moderate to vigorous physical activity in pediatric populations. There were no measures of fasting plasma lipids at age 11 years. The study also lacked data on participants’ dietary habits, alcohol intake, and menstrual cycle.
DISCLOSURES:
The ALSPAC UK birth cohort is funded by the UK Medical Research Council, the Wellcome Trust, and the University of Bristol. The author is funded by multiple foundations. No conflicts of interest were reported.
A version of this article appeared on Medscape.com.
TOPLINE:
Light physical activity during childhood may lower blood cholesterol levels more effectively than moderate to vigorous physical activity, regardless of body fat mass.
METHODOLOGY:
- Researchers analyzed the data of 792 children (58% females) from the Avon Longitudinal Study of Parents and Children (ALSPAC) UK birth cohort.
- The measures included accelerometer-based sedentary time, light physical activity, and moderate to vigorous physical activity at ages 11, 15, and 24 years.
- The children had complete measurements of fasting high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglyceride, and total cholesterol levels at ages 15 , 17, and 24 years.
- Data also included measures of body mass, composition (fat and lean mass), insulin resistance, inflammation, and other cardiometabolic, socioeconomic, and lifestyle factors.
- The researchers conducted two types of analyses: Mediation path, to examine how fat and lean body mass affected longitudinal associations of activity level with blood lipids over 13 years, and temporal path, to look at temporal relationships between activity and lipid levels at ages 15 and 24 years only.
TAKEAWAY:
- Higher cumulative light physical activity from childhood through young adulthood was associated with a fivefold to eightfold decrease in total cholesterol, while total body fat mass decreased the impact of light physical activity on total cholesterol by 6%.
- Higher cumulative moderate to vigorous physical activity over 13 years led to a modest decrease in total cholesterol, an effect reduced to nonsignificance by the presence of higher fat mass.
- More cumulative sedentary time was associated with increasing total cholesterol.
IN PRACTICE:
“Light physical activity provides an opportunity for persons with obesity to follow a path to potentially benefit from the lipid-lowering effect of mild exercise,» wrote the author.
SOURCE:
Andrew O. Agbaje, from the Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland, conducted this study. It was published online December 14, 2023, in the Journal of Clinical Endocrinology and Metabolism.
LIMITATIONS:
The study included mostly White participants, so the findings might not apply to diverse racial and ethnic groups. The accelerometer data were gathered using a 60-second epoch, a duration known to underestimate moderate to vigorous physical activity in pediatric populations. There were no measures of fasting plasma lipids at age 11 years. The study also lacked data on participants’ dietary habits, alcohol intake, and menstrual cycle.
DISCLOSURES:
The ALSPAC UK birth cohort is funded by the UK Medical Research Council, the Wellcome Trust, and the University of Bristol. The author is funded by multiple foundations. No conflicts of interest were reported.
A version of this article appeared on Medscape.com.
TOPLINE:
Light physical activity during childhood may lower blood cholesterol levels more effectively than moderate to vigorous physical activity, regardless of body fat mass.
METHODOLOGY:
- Researchers analyzed the data of 792 children (58% females) from the Avon Longitudinal Study of Parents and Children (ALSPAC) UK birth cohort.
- The measures included accelerometer-based sedentary time, light physical activity, and moderate to vigorous physical activity at ages 11, 15, and 24 years.
- The children had complete measurements of fasting high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglyceride, and total cholesterol levels at ages 15 , 17, and 24 years.
- Data also included measures of body mass, composition (fat and lean mass), insulin resistance, inflammation, and other cardiometabolic, socioeconomic, and lifestyle factors.
- The researchers conducted two types of analyses: Mediation path, to examine how fat and lean body mass affected longitudinal associations of activity level with blood lipids over 13 years, and temporal path, to look at temporal relationships between activity and lipid levels at ages 15 and 24 years only.
TAKEAWAY:
- Higher cumulative light physical activity from childhood through young adulthood was associated with a fivefold to eightfold decrease in total cholesterol, while total body fat mass decreased the impact of light physical activity on total cholesterol by 6%.
- Higher cumulative moderate to vigorous physical activity over 13 years led to a modest decrease in total cholesterol, an effect reduced to nonsignificance by the presence of higher fat mass.
- More cumulative sedentary time was associated with increasing total cholesterol.
IN PRACTICE:
“Light physical activity provides an opportunity for persons with obesity to follow a path to potentially benefit from the lipid-lowering effect of mild exercise,» wrote the author.
SOURCE:
Andrew O. Agbaje, from the Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland, conducted this study. It was published online December 14, 2023, in the Journal of Clinical Endocrinology and Metabolism.
LIMITATIONS:
The study included mostly White participants, so the findings might not apply to diverse racial and ethnic groups. The accelerometer data were gathered using a 60-second epoch, a duration known to underestimate moderate to vigorous physical activity in pediatric populations. There were no measures of fasting plasma lipids at age 11 years. The study also lacked data on participants’ dietary habits, alcohol intake, and menstrual cycle.
DISCLOSURES:
The ALSPAC UK birth cohort is funded by the UK Medical Research Council, the Wellcome Trust, and the University of Bristol. The author is funded by multiple foundations. No conflicts of interest were reported.
A version of this article appeared on Medscape.com.
No Impact of Race on Cardiovascular Risk Calculations
TOPLINE:
Removing race and incorporating social determinants of health (SDOH) into the pooled cohort risk equations (PCEs) for predicting atherosclerotic cardiovascular disease (ASCVD) outcomes made no difference to patients’ risk scores.
METHODOLOGY:
- Primary prevention guidelines recommend using risk prediction algorithms to assess the 10-year ASCVD risk, with the currently recommended PCEs including race.
- Researchers evaluated the incremental value of revised risk prediction equations excluding race and introducing SDOH in 11,638 participants from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort.
- Participants were aged between 45 and 79 years, had no history of ASCVD, and were not taking statins.
- Participants were followed up to 10 years for incident ASCVD, including myocardial infarction, coronary heart disease death, and fatal and nonfatal stroke.
TAKEAWAY:
- Risk prediction equations performed similarly in race- and sex-stratified PCEs (C-statistic [95% CI])
- Black female: 0.71 (0.68-0.75); Black male: 0.68 (0.64-0.73); White female: 0.77 (0.74-0.80); White male: 0.68 (0.65-0.71)
- Race-free sex-specific PCEs yielded similar discrimination as race- and sex-stratified PCEs (C-statistic [95% CI]):
- Black female: 0.71 (0.67-0.75); Black male: 0.68 (0.63-0.72); White female: 0.76 (0.73-0.80); White male: 0.68 (0.65-0.71)
- The addition of SDOH to race-free sex-specific PCEs did not improve model performance (C-statistic [95% CI]):
- Black female: 0.72 (0.68-0.76); Black male: 0.68 (0.64-0.72); White female: 0.77 (0.74-0.80); White male: 0.68 (0.65-0.71)
IN PRACTICE:
“The major takeaway is we need to rethink the idea of race in cardiovascular risk prediction,” lead author Arnab Ghosh, MD, assistant professor of medicine at Weill Cornell Medical College and a hospitalist at New York-Presbyterian/Weill Cornell Medical Center, said in a press release.
“It’s essential for clinicians and scientists to consider how to appropriately address the health effects of race as a social construct, which has contributed to health disparities in cardiovascular outcomes,” Dr. Ghosh added.
SOURCE:
The study led by Dr. Ghosh was published online on December 6, 2023, in JAMA Cardiology with an Editor’s Note.
LIMITATIONS:
The study required informed consent for inclusion, which may have led to selection bias.
The REGARDS cohort’s SDOH may not have captured all social and socioeconomic influences on ASCVD outcomes.
DISCLOSURES:
The research was funded by the National Institute of Neurological Disorders and Stroke and the National Institute on Aging of the National Institutes of Health, Department of Health and Human Services, and others. Some authors declared receiving funding, grants, or personal fees from various sources.
A version of this article appeared on Medscape.com.
TOPLINE:
Removing race and incorporating social determinants of health (SDOH) into the pooled cohort risk equations (PCEs) for predicting atherosclerotic cardiovascular disease (ASCVD) outcomes made no difference to patients’ risk scores.
METHODOLOGY:
- Primary prevention guidelines recommend using risk prediction algorithms to assess the 10-year ASCVD risk, with the currently recommended PCEs including race.
- Researchers evaluated the incremental value of revised risk prediction equations excluding race and introducing SDOH in 11,638 participants from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort.
- Participants were aged between 45 and 79 years, had no history of ASCVD, and were not taking statins.
- Participants were followed up to 10 years for incident ASCVD, including myocardial infarction, coronary heart disease death, and fatal and nonfatal stroke.
TAKEAWAY:
- Risk prediction equations performed similarly in race- and sex-stratified PCEs (C-statistic [95% CI])
- Black female: 0.71 (0.68-0.75); Black male: 0.68 (0.64-0.73); White female: 0.77 (0.74-0.80); White male: 0.68 (0.65-0.71)
- Race-free sex-specific PCEs yielded similar discrimination as race- and sex-stratified PCEs (C-statistic [95% CI]):
- Black female: 0.71 (0.67-0.75); Black male: 0.68 (0.63-0.72); White female: 0.76 (0.73-0.80); White male: 0.68 (0.65-0.71)
- The addition of SDOH to race-free sex-specific PCEs did not improve model performance (C-statistic [95% CI]):
- Black female: 0.72 (0.68-0.76); Black male: 0.68 (0.64-0.72); White female: 0.77 (0.74-0.80); White male: 0.68 (0.65-0.71)
IN PRACTICE:
“The major takeaway is we need to rethink the idea of race in cardiovascular risk prediction,” lead author Arnab Ghosh, MD, assistant professor of medicine at Weill Cornell Medical College and a hospitalist at New York-Presbyterian/Weill Cornell Medical Center, said in a press release.
“It’s essential for clinicians and scientists to consider how to appropriately address the health effects of race as a social construct, which has contributed to health disparities in cardiovascular outcomes,” Dr. Ghosh added.
SOURCE:
The study led by Dr. Ghosh was published online on December 6, 2023, in JAMA Cardiology with an Editor’s Note.
LIMITATIONS:
The study required informed consent for inclusion, which may have led to selection bias.
The REGARDS cohort’s SDOH may not have captured all social and socioeconomic influences on ASCVD outcomes.
DISCLOSURES:
The research was funded by the National Institute of Neurological Disorders and Stroke and the National Institute on Aging of the National Institutes of Health, Department of Health and Human Services, and others. Some authors declared receiving funding, grants, or personal fees from various sources.
A version of this article appeared on Medscape.com.
TOPLINE:
Removing race and incorporating social determinants of health (SDOH) into the pooled cohort risk equations (PCEs) for predicting atherosclerotic cardiovascular disease (ASCVD) outcomes made no difference to patients’ risk scores.
METHODOLOGY:
- Primary prevention guidelines recommend using risk prediction algorithms to assess the 10-year ASCVD risk, with the currently recommended PCEs including race.
- Researchers evaluated the incremental value of revised risk prediction equations excluding race and introducing SDOH in 11,638 participants from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort.
- Participants were aged between 45 and 79 years, had no history of ASCVD, and were not taking statins.
- Participants were followed up to 10 years for incident ASCVD, including myocardial infarction, coronary heart disease death, and fatal and nonfatal stroke.
TAKEAWAY:
- Risk prediction equations performed similarly in race- and sex-stratified PCEs (C-statistic [95% CI])
- Black female: 0.71 (0.68-0.75); Black male: 0.68 (0.64-0.73); White female: 0.77 (0.74-0.80); White male: 0.68 (0.65-0.71)
- Race-free sex-specific PCEs yielded similar discrimination as race- and sex-stratified PCEs (C-statistic [95% CI]):
- Black female: 0.71 (0.67-0.75); Black male: 0.68 (0.63-0.72); White female: 0.76 (0.73-0.80); White male: 0.68 (0.65-0.71)
- The addition of SDOH to race-free sex-specific PCEs did not improve model performance (C-statistic [95% CI]):
- Black female: 0.72 (0.68-0.76); Black male: 0.68 (0.64-0.72); White female: 0.77 (0.74-0.80); White male: 0.68 (0.65-0.71)
IN PRACTICE:
“The major takeaway is we need to rethink the idea of race in cardiovascular risk prediction,” lead author Arnab Ghosh, MD, assistant professor of medicine at Weill Cornell Medical College and a hospitalist at New York-Presbyterian/Weill Cornell Medical Center, said in a press release.
“It’s essential for clinicians and scientists to consider how to appropriately address the health effects of race as a social construct, which has contributed to health disparities in cardiovascular outcomes,” Dr. Ghosh added.
SOURCE:
The study led by Dr. Ghosh was published online on December 6, 2023, in JAMA Cardiology with an Editor’s Note.
LIMITATIONS:
The study required informed consent for inclusion, which may have led to selection bias.
The REGARDS cohort’s SDOH may not have captured all social and socioeconomic influences on ASCVD outcomes.
DISCLOSURES:
The research was funded by the National Institute of Neurological Disorders and Stroke and the National Institute on Aging of the National Institutes of Health, Department of Health and Human Services, and others. Some authors declared receiving funding, grants, or personal fees from various sources.
A version of this article appeared on Medscape.com.
Hourly air pollution exposure: A risk factor for stroke
TOPLINE:
METHODOLOGY:
- Limited studies have investigated the association between hourly exposure to air pollutants and specific stroke subtypes, especially in regions with moderate to high levels of air pollution.
- The multicenter case-crossover study evaluated the association between hourly exposure to air pollution and stroke among 86,635 emergency admissions for stroke across 10 hospitals in 3 cities.
- Of 86,635 admissions, 79,478 were admitted for ischemic stroke, 3,122 for hemorrhagic stroke, and 4,035 for undetermined type of stroke.
- Hourly levels of fine particulate matter (PM2.5), respirable PM (PM10), nitrogen dioxide (NO2), and sulfur dioxide (SO2) were collected from the China National Environmental Monitoring Center.
TAKEAWAY:
- Exposure to NO2 and SO2 increased the risk for emergency admission for stroke shortly after exposure by 3.34% (95% confidence interval, 1.41%-5.31%) and 2.81% (95% CI, 1.15%-4.51%), respectively.
- Among men, exposure to PM2.5 and PM10 increased the risk for emergency admission for stroke by 3.40% (95% CI, 1.21%-5.64%) and 4.33% (95% CI, 2.18%-6.53%), respectively.
- Among patients aged less than 65 years, exposure to PM10 and NO2 increased the risk for emergency admissions for stroke shortly after exposure by 4.88% (95% CI, 2.29%-7.54%) and 5.59% (95% CI, 2.34%-8.93%), respectively.
IN PRACTICE:
“These variations in susceptibility highlight the importance of implementing effective health protection measures to reduce exposure to air pollution and mitigate the risk of stroke in younger and male populations,” wrote the authors.
SOURCE:
The study was led by Xin Lv, MD, department of epidemiology and biostatistics, School of Public Health, Capital Medical University, Beijing. It was published online in the journal Stroke.
LIMITATIONS:
- Using data from the nearest monitoring site to the hospital address may lead to localized variations in pollution concentrations when assessing exposure.
- There may be a possibility of residual confounding resulting from time-varying lifestyle-related factors.
DISCLOSURES:
This study was supported by the Zhejiang Provincial Project for Medical Research and Health Sciences. No disclosures were reported.
A version of this article first appeared on Medscape.com.
TOPLINE:
METHODOLOGY:
- Limited studies have investigated the association between hourly exposure to air pollutants and specific stroke subtypes, especially in regions with moderate to high levels of air pollution.
- The multicenter case-crossover study evaluated the association between hourly exposure to air pollution and stroke among 86,635 emergency admissions for stroke across 10 hospitals in 3 cities.
- Of 86,635 admissions, 79,478 were admitted for ischemic stroke, 3,122 for hemorrhagic stroke, and 4,035 for undetermined type of stroke.
- Hourly levels of fine particulate matter (PM2.5), respirable PM (PM10), nitrogen dioxide (NO2), and sulfur dioxide (SO2) were collected from the China National Environmental Monitoring Center.
TAKEAWAY:
- Exposure to NO2 and SO2 increased the risk for emergency admission for stroke shortly after exposure by 3.34% (95% confidence interval, 1.41%-5.31%) and 2.81% (95% CI, 1.15%-4.51%), respectively.
- Among men, exposure to PM2.5 and PM10 increased the risk for emergency admission for stroke by 3.40% (95% CI, 1.21%-5.64%) and 4.33% (95% CI, 2.18%-6.53%), respectively.
- Among patients aged less than 65 years, exposure to PM10 and NO2 increased the risk for emergency admissions for stroke shortly after exposure by 4.88% (95% CI, 2.29%-7.54%) and 5.59% (95% CI, 2.34%-8.93%), respectively.
IN PRACTICE:
“These variations in susceptibility highlight the importance of implementing effective health protection measures to reduce exposure to air pollution and mitigate the risk of stroke in younger and male populations,” wrote the authors.
SOURCE:
The study was led by Xin Lv, MD, department of epidemiology and biostatistics, School of Public Health, Capital Medical University, Beijing. It was published online in the journal Stroke.
LIMITATIONS:
- Using data from the nearest monitoring site to the hospital address may lead to localized variations in pollution concentrations when assessing exposure.
- There may be a possibility of residual confounding resulting from time-varying lifestyle-related factors.
DISCLOSURES:
This study was supported by the Zhejiang Provincial Project for Medical Research and Health Sciences. No disclosures were reported.
A version of this article first appeared on Medscape.com.
TOPLINE:
METHODOLOGY:
- Limited studies have investigated the association between hourly exposure to air pollutants and specific stroke subtypes, especially in regions with moderate to high levels of air pollution.
- The multicenter case-crossover study evaluated the association between hourly exposure to air pollution and stroke among 86,635 emergency admissions for stroke across 10 hospitals in 3 cities.
- Of 86,635 admissions, 79,478 were admitted for ischemic stroke, 3,122 for hemorrhagic stroke, and 4,035 for undetermined type of stroke.
- Hourly levels of fine particulate matter (PM2.5), respirable PM (PM10), nitrogen dioxide (NO2), and sulfur dioxide (SO2) were collected from the China National Environmental Monitoring Center.
TAKEAWAY:
- Exposure to NO2 and SO2 increased the risk for emergency admission for stroke shortly after exposure by 3.34% (95% confidence interval, 1.41%-5.31%) and 2.81% (95% CI, 1.15%-4.51%), respectively.
- Among men, exposure to PM2.5 and PM10 increased the risk for emergency admission for stroke by 3.40% (95% CI, 1.21%-5.64%) and 4.33% (95% CI, 2.18%-6.53%), respectively.
- Among patients aged less than 65 years, exposure to PM10 and NO2 increased the risk for emergency admissions for stroke shortly after exposure by 4.88% (95% CI, 2.29%-7.54%) and 5.59% (95% CI, 2.34%-8.93%), respectively.
IN PRACTICE:
“These variations in susceptibility highlight the importance of implementing effective health protection measures to reduce exposure to air pollution and mitigate the risk of stroke in younger and male populations,” wrote the authors.
SOURCE:
The study was led by Xin Lv, MD, department of epidemiology and biostatistics, School of Public Health, Capital Medical University, Beijing. It was published online in the journal Stroke.
LIMITATIONS:
- Using data from the nearest monitoring site to the hospital address may lead to localized variations in pollution concentrations when assessing exposure.
- There may be a possibility of residual confounding resulting from time-varying lifestyle-related factors.
DISCLOSURES:
This study was supported by the Zhejiang Provincial Project for Medical Research and Health Sciences. No disclosures were reported.
A version of this article first appeared on Medscape.com.
Piperacillin-tazobactam poses no renal risk in adults with sepsis
TOPLINE:
METHODOLOGY:
The coadministration of piperacillin-tazobactam and vancomycin may raise the risk for AKI, according to a warning from the Food and Drug Administration.
The ACORN trial included 2,511 adults presenting to emergency department or intensive care unit with suspected infection.
Within 12 hours of presentation, these individuals were prescribed either cefepime (n = 1,214) or piperacillin-tazobactam (n = 1,297).
The primary outcome was the risk for the highest stage of AKI or death within 14 days of randomization.
TAKEAWAY:
The highest stage of AKI or death within 14 days did not differ significantly between the cefepime and piperacillin-tazobactam groups (odds ratio, 0.95; P = .56).
The incidence of major adverse kidney events by day 14 was not significantly different between the two groups (absolute risk difference, 1.4%; 95% confidence interval, −1.0% to 3.8%).
Patients in the cefepime versus piperacillin-tazobactam group had fewer days alive and free of delirium and coma within 14 days (OR, 0.79; 95% CI, 0.65-0.95).
IN PRACTICE:
In an accompanying editorial, Steven Y. C. Tong, department of infectious diseases, University of Melbourne, and colleagues wrote: “Because institutions must make decisions about which antibiotics to position on medical wards for rapid administration in patients meeting sepsis criteria, these data should offer solace that if the choice is made to use piperacillin-tazobactam, there is not an increased risk of AKI.”
SOURCE:
The study was led by Edward T. Qian, MD, of Vanderbilt University Medical Center, Nashville, Tenn. It was published online in JAMA with an accompanying editorial.
LIMITATIONS:
The study was conducted at a single academic center, which may limit the generalizability of findings.
Both patients and clinicians were not blinded to group assignment, which may have influenced clinical assessments like Richmond Agitation-Sedation Scale and CAM-ICU or the frequency of laboratory measurements like creatinine.
DISCLOSURES:
The project was supported by the Vanderbilt Institute for Clinical and Translational Research and several other sources, including grants from the National Center for Advancing Translational Sciences. Some authors declared receiving travel grant, personal fees, honoraria, and unrelated research support from various sources.
A version of this article appeared on Medscape.com.
TOPLINE:
METHODOLOGY:
The coadministration of piperacillin-tazobactam and vancomycin may raise the risk for AKI, according to a warning from the Food and Drug Administration.
The ACORN trial included 2,511 adults presenting to emergency department or intensive care unit with suspected infection.
Within 12 hours of presentation, these individuals were prescribed either cefepime (n = 1,214) or piperacillin-tazobactam (n = 1,297).
The primary outcome was the risk for the highest stage of AKI or death within 14 days of randomization.
TAKEAWAY:
The highest stage of AKI or death within 14 days did not differ significantly between the cefepime and piperacillin-tazobactam groups (odds ratio, 0.95; P = .56).
The incidence of major adverse kidney events by day 14 was not significantly different between the two groups (absolute risk difference, 1.4%; 95% confidence interval, −1.0% to 3.8%).
Patients in the cefepime versus piperacillin-tazobactam group had fewer days alive and free of delirium and coma within 14 days (OR, 0.79; 95% CI, 0.65-0.95).
IN PRACTICE:
In an accompanying editorial, Steven Y. C. Tong, department of infectious diseases, University of Melbourne, and colleagues wrote: “Because institutions must make decisions about which antibiotics to position on medical wards for rapid administration in patients meeting sepsis criteria, these data should offer solace that if the choice is made to use piperacillin-tazobactam, there is not an increased risk of AKI.”
SOURCE:
The study was led by Edward T. Qian, MD, of Vanderbilt University Medical Center, Nashville, Tenn. It was published online in JAMA with an accompanying editorial.
LIMITATIONS:
The study was conducted at a single academic center, which may limit the generalizability of findings.
Both patients and clinicians were not blinded to group assignment, which may have influenced clinical assessments like Richmond Agitation-Sedation Scale and CAM-ICU or the frequency of laboratory measurements like creatinine.
DISCLOSURES:
The project was supported by the Vanderbilt Institute for Clinical and Translational Research and several other sources, including grants from the National Center for Advancing Translational Sciences. Some authors declared receiving travel grant, personal fees, honoraria, and unrelated research support from various sources.
A version of this article appeared on Medscape.com.
TOPLINE:
METHODOLOGY:
The coadministration of piperacillin-tazobactam and vancomycin may raise the risk for AKI, according to a warning from the Food and Drug Administration.
The ACORN trial included 2,511 adults presenting to emergency department or intensive care unit with suspected infection.
Within 12 hours of presentation, these individuals were prescribed either cefepime (n = 1,214) or piperacillin-tazobactam (n = 1,297).
The primary outcome was the risk for the highest stage of AKI or death within 14 days of randomization.
TAKEAWAY:
The highest stage of AKI or death within 14 days did not differ significantly between the cefepime and piperacillin-tazobactam groups (odds ratio, 0.95; P = .56).
The incidence of major adverse kidney events by day 14 was not significantly different between the two groups (absolute risk difference, 1.4%; 95% confidence interval, −1.0% to 3.8%).
Patients in the cefepime versus piperacillin-tazobactam group had fewer days alive and free of delirium and coma within 14 days (OR, 0.79; 95% CI, 0.65-0.95).
IN PRACTICE:
In an accompanying editorial, Steven Y. C. Tong, department of infectious diseases, University of Melbourne, and colleagues wrote: “Because institutions must make decisions about which antibiotics to position on medical wards for rapid administration in patients meeting sepsis criteria, these data should offer solace that if the choice is made to use piperacillin-tazobactam, there is not an increased risk of AKI.”
SOURCE:
The study was led by Edward T. Qian, MD, of Vanderbilt University Medical Center, Nashville, Tenn. It was published online in JAMA with an accompanying editorial.
LIMITATIONS:
The study was conducted at a single academic center, which may limit the generalizability of findings.
Both patients and clinicians were not blinded to group assignment, which may have influenced clinical assessments like Richmond Agitation-Sedation Scale and CAM-ICU or the frequency of laboratory measurements like creatinine.
DISCLOSURES:
The project was supported by the Vanderbilt Institute for Clinical and Translational Research and several other sources, including grants from the National Center for Advancing Translational Sciences. Some authors declared receiving travel grant, personal fees, honoraria, and unrelated research support from various sources.
A version of this article appeared on Medscape.com.