Shortly after the introduction of the 2013 original Pooled Cohort Equation (PCE), an overestimation of risk was suggested. As such, the updated 2018 PCE was developed to more accurately assess atherosclerotic cardiovascular disease (ASCVD) risk in the population. Hence, this study aims to compare drug prescribing recommendations in a large, real-world patient population, depending on which PCE is used to estimate 10-year ASCVD risk. This retrospective cohort study identified 20,843 patients aged between 40 and 75 years with no previous ASCVD. The 10-year ASCVD risk score was assessed by using both PCE. Patients were assigned to the four risk categories according to the 2018 ACC/AHA guideline. The percentage of patients qualifying for guideline-recommended primary prevention with statins and/or anti-hypertensives were compared between both PCE. Risk reclassification occurred in 26.7% of patients overall (n = 5571), of which 98.1% (n = 5466) were assigned to lower risk categories with the updated PCE. Non-diabetic (14.0%) patients no longer met the threshold for recommending statins as primary prevention with the updated PCE. Likewise, 13.8% of patients with stage I hypertension no longer met the threshold for recommending antihypertensive drugs with the updated PCE. In conclusion, risk reclassification occurred among 26.7% of patients overall, mostly due to lower risk categories assigned by the updated PCE. Up to 14.0% of patients no longer met the threshold for recommending statin therapy and/or antihypertensive drugs by using the updated PCE. These findings suggest that using the updated PCE could translate into fewer patients receiving pharmacotherapy for ASCVD primary prevention.
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http://dx.doi.org/10.1016/j.ypmed.2021.106555 | DOI Listing |
Accid Anal Prev
December 2024
Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo ON, N2L 3G1, Canada. Electronic address:
Autonomous driving systems (ADS), leveraging advancements in learning algorithms, have the potential to significantly enhance traffic safety by reducing human errors. However, a major challenge in evaluating ADS safety is quantifying the performance uncertainties inherent in these black box algorithms, especially in dynamic and complex service environments. Addressing this challenge is crucial for maintaining public trust and promoting widespread ADS adoption.
View Article and Find Full Text PDFAcc Chem Res
December 2024
College of Textiles & Clothing, State Key Laboratory of Bio-fibers and Eco-textiles, Qingdao University, Qingdao 266071, China.
Drug Alcohol Depend Rep
December 2024
McGill University, Department of Psychiatry, Canada.
Coincident with the legalisation of cannabis in many nations, rates of cannabis use during pregnancy have increased. Like prior investigations on smoking and alcohol, understanding how prenatal cannabis exposure (PCE) impacts offspring outcomes across the lifespan will be critical for informing choices for pregnant people, clinicians, and policy makers alike. A thorough characterization of the life-long impacts is especially urgent for supporting all of these stakeholders in the decision-making process.
View Article and Find Full Text PDFRadiography (Lond)
August 2024
School of Dentistry and Medical Sciences, Charles Sturt University, Port Macquarie, Australia. Electronic address:
Background: The College of Radiographers' vision was that diagnostic radiographers in the UK would be writing preliminary clinical evaluations (PCE) on images. Their 2013 policy supporting the use of PCE has not been updated in a decade and it might be suggested PCE practices in the UK have not really moved on, though elsewhere it appears to have gained traction. The aim of this scoping review was to establish the current global status of the use of PCE.
View Article and Find Full Text PDFEur J Prev Cardiol
July 2024
Masira Research Institute. Universidad de Santander (UDES), Bucaramanga, Colombia.
Aims: To external validate the SCORE2, AHA/ACC Pooled Cohort Equation (PCE), Framingham Risk Score (FRS), Non-Laboratory INTERHEART Risk Score (NL-IHRS), Globorisk-LAC, and WHO prediction models and compare their discrimination and calibration capacity.
Methods: Validation in individuals aged 40-69 years with at least 10 years follow-up and without baseline use of statins or cardiovascular diseases from the Prospective Urban Rural Epidemiology prospective cohort study (PURE)-Colombia. For discrimination, the C-statistic, and Receiver Operating Characteristic curves with the integrated area under the curve (AUCi) were used and compared.
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