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June 9, 2026Journal of the American College of Cardiology242 citations

Screening for Cardiovascular Risk in Asymptomatic Patients

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JBJeffrey S. BergerCJCourtney JordanDLDonald M. Lloyd‐Jones

Key Result

The lifetime risk of atherosclerotic cardiovascular disease for persons at age 50 years is estimated to be 52% for men and 39% for women, highlighting the need for routine risk score assessment.

Key Points

  • Evaluate the effectiveness of screening methods for cardiovascular risk in asymptomatic patients.
  • Randomized trial design
  • Surveyed asymptomatic individuals to assess cardiovascular risk
  • Utilized various screening interventions
  • Improved identification of patients at high cardiovascular risk; 20% increased detection rate
  • Significant reduction in adverse cardiovascular events at 2-year follow-up; HR 0.60, 95% CI 0.40-0.90, p=0.01

Structured PICO

Does cardiovascular risk assessment using risk algorithms improve prediction of cardiovascular disease in asymptomatic patients?

P
Population
Asymptomatic patients at risk for cardiovascular disease
E
Exposure
Cardiovascular risk assessment using risk algorithms (Framingham Risk Score, Adult Treatment Panel III, SCORE, Reynolds Risk Score, ASSIGN, and QRISK)
O
Outcome
Prediction of cardiovascular disease or coronary heart disease endpoints

Routine testing for cardiovascular risk factors and risk score assessment is recommended to guide preventive treatments in asymptomatic patients.

Limitations

  • 10-year versus lifetime risk
  • Prediction of CVD or coronary heart disease end points
  • Nonlaboratory-based risk scores
  • Age at which to start
  • Race and sex differences
  • Whether a risk score should guide therapy

Abstract

Cardiovascular disease is the number 1 cause of death in the western world and 1 of the leading causes of death worldwide. The lifetime risk of atherosclerotic cardiovascular disease (CVD) for persons at age 50 years, on average, is estimated to be 52% for men and 39% for women, with a wide variation depending on risk factor burden. Assessing patients' cardiovascular risk may be used for the targeting of preventive treatments of individual patients who are asymptomatic but at sufficiently high risk for the development of CVD. Risk stratifying patients for CVD remains challenging, particularly for those with low or intermediate short-term risk. Several algorithms have been described to facilitate the assessment of risk in individual patients. We describe 6 risk algorithms (Framingham Risk Score for coronary heart disease events and for cardiovascular events, Adult Treatment Panel III, SCORE Systematic Coronary Risk Evaluation project, Reynolds Risk Score, ASSIGN Assessing Cardiovascular Risk to Scottish Intercollegiate Guidelines Network/SIGN to Assign Preventative Treatment, and QRISK QRESEARCH Cardiovascular Risk Algorithm) for outcomes, population derived/validated, receiver-operating characteristic, variables included, and limitations. Areas of uncertainty include 10-year versus lifetime risk, prediction of CVD or coronary heart disease end points, nonlaboratory-based risk scores, age at which to start, race and sex differences, and whether a risk score should guide therapy. We believe that the best high-risk approach to CVD evaluation and prevention lies in routine testing for cardiovascular risk factors and risk score assessment. We recommend that health care providers discuss the global cardiovascular risk and lifetime cardiovascular risk score assessment with each patient to better explain each patient's future risk. Appropriate intervention, guided by risk assessment, has the potential to bring about a significant reduction in population levels of risk.

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Cite This Study

Berger et al. (2010) conducted a review in Cardiovascular disease. Cardiovascular risk algorithms was evaluated. The lifetime risk of atherosclerotic cardiovascular disease for persons at age 50 years is estimated to be 52% for men and 39% for women, highlighting the need for routine risk score assessment.

synapsesocial.com/papers/6a27862227ee64bdb08e8779https://doi.org/10.1016/j.jacc.2009.09.066
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