Objective: To clarify the methods for identifying officers at high risk for cardiac events.
Methods: This retrospective review included 3330 patient charts. Classic cardiovascular risk factors, coronary artery calcium (CAC) scores, and endothelial inflammatory biomarker levels were compared between civilians and law enforcement officers (LEOs). The Framingham Risk Score (FRS) was compared with risk assessment using inflammatory biomarkers.
Results: The FRS failed to identify more than 90% of LEOs at high risk of cardiovascular events. Similarly, the use of the CAC score was ineffective. Inflammatory biomarker analysis measuring the lipoprotein-associated phospholipase A 2 activity was the most reliable method for identifying LEOs at high risk of cardiovascular events.
Conclusions: The use of the standard FRS and CAC scores is less effective than that of inflammatory biomarkers in identifying LEOs at high risk of cardiovascular events.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/JOM.0000000000003035 | DOI Listing |
Genet Med
January 2025
Genomics Ethics, and Translational Research Program, RTI International, Research Triangle Park, NC; Department of Translational and Applied Genomics, Kaiser Permanente Center for Health Research, Portland, OR. Electronic address:
Purpose: Limited evidence evaluates parents' perceptions of their child's clinical genomic sequencing (GS) results, particularly among individuals from medically underserved groups. Five Clinical Sequencing Evidence-Generating Research (CSER) consortium studies performed GS in children with suspected genetic conditions with high proportions of individuals from underserved groups to address this evidence gap.
Methods: Parents completed surveys of perceived understanding, personal utility, and test-related distress after GS result disclosure.
Int J Offender Ther Comp Criminol
January 2025
Diana R. Garland School of Social Work, Baylor University, Houston, TX, USA.
Most studies on the impact of maternal incarceration on adolescent health risk behaviors have focused on singular, separated behaviors, even though these behaviors often cluster and co-occur. This study used the FFCWS dataset to examine the association between maternal incarceration and the aggregation of health risk behaviors among adolescents. Latent class analysis suggested the four-class model had the optimal model fit.
View Article and Find Full Text PDFObjective: This quality improvement initiative aimed to increase the rate of provider screening and documentation of contraception use for reproductive-aged women seen in an academic rheumatology fellows' clinic to >50% by 24 weeks, with sustained improvement at one year.
Methods: With a multidisciplinary team, we devised and implemented six interventional cycles over 24 weeks informed by key stakeholder survey responses. The primary outcome measure was the percentage of eligible visits with contraception information documented in the structured electronic health record field.
Circ Genom Precis Med
January 2025
Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (A.A., L.S.D., E.K.O., R.K.).
Background: While universal screening for Lp(a; lipoprotein[a]) is increasingly recommended, <0.5% of patients undergo Lp(a) testing. Here, we assessed the feasibility of deploying Algorithmic Risk Inspection for Screening Elevated Lp(a; ARISE), a validated machine learning tool, to health system electronic health records to increase the yield of Lp(a) testing.
View Article and Find Full Text PDFJ Hand Surg Eur Vol
January 2025
Clinical Scientific Computing, Guy's and St Thomas' NHS Foundation Trust, London, UK.
This paper discusses the current literature surrounding the potential use of artificial intelligence and machine learning models in the diagnosis of acute obvious and occult scaphoid fractures. Current studies have notable methodological flaws and are at high risk of bias, precluding meaningful comparisons with clinician performance (the current reference standard). Specific areas should be addressed in future studies to help advance the meaningful and clinical use of artificial intelligence for radiograph interpretation.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!