General Cardiovascular Risk Profile for Use in Primary Care

# General Cardiovascular Risk Profile for Use in Primary Care > OpenAlex Metadata Hub · https://openalex.org/W2148092884 ## Bibliographic - **DOI:** 10.1161/circulationaha.107.699579 - **Year:** 2008 - **Citations:** 7497 - **Open Access:** Yes (bronze) - **License:** — - **Source:** https://www.ahajournals.org/doi/pdf/10.1161/CIRCULATIONAHA.107.699579 ## Authors - Ralph B. D’Agostino - Ramachandran S. Vasan - Michael Pencina - Philip A. Wolf - Mark R. Cobain - Joseph M. Massaro - William B. Kannel ## Abstract BACKGROUND: Separate multivariable risk algorithms are commonly used to assess risk of specific atherosclerotic cardiovascular disease (CVD) events, ie, coronary heart disease, cerebrovascular disease, peripheral vascular disease, and heart failure. The present report presents a single multivariable risk function that predicts risk of developing all CVD and of its constituents. METHODS AND RESULTS: We used Cox proportional-hazards regression to evaluate the risk of developing a first CVD event in 8491 Framingham study participants (mean age, 49 years; 4522 women) who attended a routine examination between 30 and 74 years of age and were free of CVD. Sex-specific multivariable risk functions ("general CVD" algorithms) were derived that incorporated age, total and high-density lipoprotein cholesterol, systolic blood pressure, treatment for hypertension, smoking, and diabetes status. We assessed the performance of the general CVD algorithms for predicting individual CVD events (coronary heart disease, stroke, peripheral artery disease, or heart failure). Over 12 years of follow-up, 1174 participants (456 women) developed a first CVD event. All traditional risk factors evaluated predicted CVD risk (multivariable-adjusted P<0.0001). The general CVD algorithm demonstrated good discrimination (C statistic, 0.763 [men] and 0.793 [women]) and calibration. Simple adjustments to the general CVD risk algorithms allowed estimation of the risks of each CVD component. Two simple risk scores are presented, 1 based on all traditional risk factors and the other based on non-laboratory-based predictors. CONCLUSIONS: A sex-specific multivariable risk factor algorithm can be conveniently used to assess general CVD risk and risk of individual CVD events (coronary, cerebrovascular, and peripheral arterial disease and heart failure). The estimated absolute CVD event rates can be used to quantify risk and to guide preventive care. ## Keywords Medicine, Framingham Risk Score, Disease, Proportional hazards model, Stroke (engine), Risk factor, Internal medicine, Heart failure, Framingham Heart Study, Cardiology, Blood pressure, Risk assessment ## Concepts - Medicine - Framingham Risk Score - Disease - Proportional hazards model - Stroke (engine) - Risk factor - Internal medicine - Heart failure - Framingham Heart Study - Cardiology - Blood pressure - Risk assessment - Mechanical engineering - Computer science - Engineering - Computer security --- *Metadata only — full text not imported unless Open Access license permits.*

Bài “General Cardiovascular Risk Profile for Use in Primary Care” được TradingBase chuyển thành Knowledge Product cho trader — không phải trang đọc abstract OpenAlex. Tóm lược học thuật (đã diễn giải): BACKGROUND: Separate multivariable risk algorithms are commonly used to assess risk of specific atherosclerotic cardiovascular disease (CVD) events, ie, coronary heart disease, cerebrovascular disease, peripheral vascular disease, and heart failure. The present report presents a single multivariable risk function that predicts risk of developing all CVD and of its constituents. METHODS AND RESULTS: We used Cox proportional-hazards regression to evaluate the risk of developing a first CVD event in 8491 Framingham study participants (mean age, 49 years; 4522 women) who attended a routine examination between 30 and 74 years of age and were free of CVD. Sex-specific multivariable risk functions ("general CVD" algorithms) were derived that incorporated age, total and high-density lipoprotein cholesterol, systolic blood pressure, treatment for hypertension, smoking, and diabetes status. We ass… Phần Trading Insights bên dưới nối nghiên cứu với Forex, vàng, USD, lãi suất và risk regime — để bạn đưa vào journal và playbook. Metadata DOI/OA chỉ là rail tham chiếu; nội dung chính là summary, takeaways và ứng dụng thị trường do Content Factory sinh.