Low‐Density Lipoprotein Cholesterol, Cardiovascular Risk Factors, and Predicted Risk in Young Adults DOI Creative Commons
Alexander R. Zheutlin,

Samuel Luebbe,

Alexander Chaitoff

et al.

Clinical Cardiology, Journal Year: 2024, Volume and Issue: 47(9)

Published: Sept. 1, 2024

ABSTRACT Background Young adults with elevated LDL‐C may experience increased burden of additional cardiovascular disease (CVD) risk factors. It is unclear how much levels, a modifiable factor, correlate non‐LDL‐C CVD factors among young or strongly these are associated long‐term predicted risk. We quantified clustering by to assess the association between and in adults. Methods The current analysis cross‐sectional study < 40 years an LDL‐C< 190 mg/dL participating National Health Nutrition Examination Survey (NHANES) January 2015 March 2020. measured prevalence Predicting Risk EVENTs (PREVENT) equations. Results Among 2108 adults, ≥ 130 was 15.5%. Compared 100 mg/dL, those 100–< 130, 130–< 160, 160–< had greater Both were independently 30‐year (OR 1.05, 95% CI 1.03–1.07 OR 1.17, 1.12–1.23, respectively). did not vary factor ( p interaction = 0.43). Conclusion Non‐LDL‐C cluster increasing levels Greater guidance on manage needed.

Language: Английский

Instability of high polygenic risk classification and mitigation by integrative scoring DOI Creative Commons
Anika Misra, Buu Truong, Sarah Urbut

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: Feb. 12, 2025

Polygenic risk scores (PRS) continue to improve with novel methods and expanding genome-wide association studies. Healthcare commercial laboratories are increasingly deploying PRS reports patients, but it is unknown how the classification of high polygenic changes across individual PRS. Here, we assess performance cataloged for three complex traits. We chronologically order all trait-related publications (Pubn) identify single Best(Pubn) each Pubn that has strongest target outcome. While demonstrates generally consistent population-level strengths associations, individuals in top 10% distribution varies widely. Using PRSmix framework, which integrates information several prediction, generate corresponding ChronoAdd(Pubn) combine from up including Pubn. When compared Best(Pubn), demonstrate more high-risk amongst themselves. This integrative scoring approach provides stable reliable an adaptable framework into new can be incorporated as they introduced, integrating easily current implementation strategies. Variability exists classifying diseases. Here authors show improves consistency overall toward clinical applications.

Language: Английский

Citations

1
Guideline-Directed Application of Coronary Artery Calcium Scores for Primary Prevention of Atherosclerotic Cardiovascular Disease DOI Creative Commons
Jelena Pavlović, Daniël Bos, M. Kamran Ikram

et al.

JACC. Cardiovascular imaging, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

The 2018 ACC (American College of Cardiology)/AHA Heart Association) and 2021 ESC (European Society Cardiology)/EAS Atherosclerosis Society) guidelines recommend coronary artery calcium (CAC) score for risk refinement in primary prevention atherosclerotic cardiovascular disease (ASCVD). study sought to compare CAC utility as a risk-refining tool following the ACC/AHA guideline using pooled cohort equations (PCE) or PREVENT (Predicting Risk EVENTs) ESC/EAS SCORE2 (Systematic COronary Evaluation 2). A total 1,903 statin-naive participants 55 75 years age, free ASCVD diabetes, with low-density lipoprotein cholesterol <190 mg/dL from prospective population-based Rotterdam Study were included. Per guidelines, we determined proportions scan-eligible reclassified men women, incidence rates, numbers needed treat 10 (NNT10y). By (PCE), 18.3% 11.9% by (PREVENT), 13.4% 3.4% women eligible scan. ESC/EAS, 46.6% 44.9% eligible. Proportions uprisked derisked individuals varied per guideline. Among CAC-eligible individuals, rates ranged 9.3 23.8 1,000 person-years, estimated NNT10y prevent 1 event, based on high-intensity statin use, 11 26. differ selection application ASCVD. Guideline-directed middle-aged apparently healthy population improved stratification at an acceptable both guidelines.

Language: Английский

Citations

1
Statins for Primary Prevention of Cardiovascular Disease—With PREVENT, What’s a Clinician to Do? DOI
Sadiya S. Khan, Donald M. Lloyd‐Jones

JAMA, Journal Year: 2024, Volume and Issue: 332(12), P. 961 - 961

Published: July 29, 2024

This Viewpoint explores decision thresholds and the evidence that informs them as well how clinicians may respond to an updated risk estimation model, such Predicting Risk of cardiovascular disease EVENTs equations.

Language: Английский

Citations

5
Semaglutide Eligibility Across All Current Indications for US Adults DOI

Ivy Shi,

Sadiya S. Khan, Robert W. Yeh

et al.

JAMA Cardiology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 18, 2024

This cross-sectional study uses National Health and Nutrition Examination Survey data to examine the number of US adults eligible for semaglutide across all current indications.

Language: Английский

Citations

5
A Framework for Considering the Value of Race and Ethnicity in Estimating Disease Risk DOI
Madison Coots, Soroush Saghafian, David M. Kent

et al.

Annals of Internal Medicine, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 2, 2024

Accounting for race and ethnicity in estimating disease risk may improve the accuracy of predictions but also encourage a racialized view medicine.

Language: Английский

Citations

5
Differences in Statin Eligibility with the Use of Predicting Risk of Cardiovascular Disease EVENTs Versus Pooled Cohort Equations in the UK Biobank DOI
Jasninder Singh Dhaliwal, Mokshad Gaonkar, Nirav Patel

et al.

The American Journal of Cardiology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
OPPORTUNISTIC ASSESSMENT OF CARDIOVASCULAR RISK USING AI-DERIVED STRUCTURAL AORTIC AND CARDIAC PHENOTYPES FROM NON-CONTRAST CHEST COMPUTED TOMOGRAPHY DOI Creative Commons

Daniel W. Oo,

A. Sturniolo,

Matthias Jung

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 29, 2025

ABSTRACT Background Primary prevention of cardiovascular disease relies on accurate risk assessment using scores such as the Pooled Cohort Equations (PCE) and PREVENT. However, necessary input variables for these are often unavailable in electronic health record (EHR), information from routinely collected data (e.g., non-contrast chest CT) may further improve performance. Here, we test whether a prediction model based structural features heart aorta CT has added value to existing clinical algorithms predicting major adverse events (MACE). Methods We developed LASSO predict fatal MACE over 12 years follow-up radiomics describing cardiac chamber segmentations 13,437 lung cancer screening CTs National Lung Screening Trial. compared this PCE PREVENT an external testing set 4,303 individuals who had at Mass General Brigham site no history diabetes, prior MACE, or statin treatment. Discrimination incident was assessed concordance index. used binary threshold determine rates patients were statin-eligible ineligible by PCE/PREVENT (≥7.5% risk) score (≥5.0% risk). Results stratified all available calculate scores. In (n = 4,303; mean age 61.5 ± 9.3 years; 47.1% male), 8.0% median 5.1 follow-up. The significantly improved discrimination beyond (c-index 0.653 vs. 0.567, p < 0.001) performed similarly missing inputs. Those both 2.6-fold higher incidence than those eligible alone (29.5 [20.5, 39.1] 11.2 [8.0, 14.4] per 1,000 person-years among PCE-eligible individuals). inputs, 1.8-fold statin-ineligible [21.9, 37.6] 16.7 [14.3, 19.0] 1000 person-years). Similar results found when comparing score. Left ventricular volume short axis length most predictive myocardial infarction, while left atrial sphericity surface-to-volume ratio stroke. Conclusions Based single CT, shape-based predicted demonstrated similar performance inputs standard calculators. Patients high-risk benefit intensified primary prescription).

Language: Английский

Citations

0
Statin use and cardiovascular risk in young adults in the United States DOI
Om A. Kothari,

John Stone,

Alan Manivannan

et al.

American Journal of Preventive Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0
Evaluation and Comparison of the PREVENT and Pooled Cohort Equations for 10‐Year Atherosclerotic Cardiovascular Risk Prediction DOI Creative Commons
Hui Zhou, Yiyi Zhang, Mengnan Zhou

et al.

Journal of the American Heart Association, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 8, 2025

Background We compared the atherosclerotic cardiovascular disease (ASCVD) risk prediction performance of American Heart Association's Predicting Risk Cardiovascular Disease Events (PREVENT) Base and PREVENT Full equations (includes urine albumin/creatinine ratio, glycated hemoglobin, social deprivation index) with pooled cohort (PCEs). Methods included adults, aged 40 to 75 years, no history ASCVD, diabetes, or statin use in 2009 from Kaiser Permanente Southern California followed up through 2019. ASCVD was defined as myocardial infarction, fatal coronary heart disease, nonfatal ischemic stroke. model discrimination (Harrell C), mean calibration (estimated ratio predicted/observed event rates), curve among overall population stratified by sex race ethnicity. Results Of 559 241 adults (mean age, 54 years; 11% Asian, non‐Hispanic Black, 32% Hispanic), 10 695 developed an (median follow‐up, years). Harrell C 0.741 (95% CI, 0.736–0.745) for Base, 0.743 0.738–0.748) Full, 0.736–0.746) PCEs. Compared PCEs, both improved men but not women, Black other races ethnicities. Both were well calibrated calibration, 0.85–1.36; slope, 0.69–1.27), whereas PCEs overestimated 10‐year 1.80–2.18; 0.32–0.45). Conclusions better predict absolute across racial ethnic groups a contemporary US adult population.

Language: Английский

Citations

0
Statins for Primary Prevention of Cardiovascular Disease DOI
Maryanne Demasi, Rita F. Redberg,

John Abramson

et al.

JAMA, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 12, 2025

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Language: Английский

Citations

0