Related Experiment Video
Updated: Apr 15, 2026

05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
2.8K
The new pooled cohort equations risk calculator.
David Preiss1, Søren L Kristensen2
1BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom.
The Canadian Journal of Cardiology
|April 7, 2015
Summary
The new ACC/AHA Pooled Cohort Equations calculator predicts atherosclerotic cardiovascular disease (ASCVD) risk, including stroke and race for better accuracy. However, potential overestimation may lead to unnecessary statin prescriptions.
Area of Science:
- Cardiology
- Preventive Medicine
- Health Risk Assessment
Background:
- Traditional cardiovascular risk assessment relied on Framingham scores.
- The 2013 American College of Cardiology (ACC) and American Heart Association (AHA) guidelines necessitated a new risk prediction tool.
- The ACC/AHA Pooled Cohort Equations Risk Calculator was developed to address these needs.
Purpose of the Study:
- To review the development of the ACC/AHA Pooled Cohort Equations Risk Calculator.
- To discuss the strengths and weaknesses of this new cardiovascular risk assessment tool.
- To explore the implications of its routine use in clinical practice.
Main Methods:
- The review analyzes the foundation of the ACC/AHA Pooled Cohort Equations, based on major National Heart, Lung, and Blood Institute cohort studies.
- It examines the inclusion of specific endpoints like stroke and demographic factors such as race.
- The methodology also considers criticisms regarding potential risk overestimation.
Main Results:
- The calculator predicts 10-year risk of hard atherosclerotic cardiovascular disease (ASCVD) events, including nonfatal myocardial infarction, fatal coronary heart disease, and stroke.
- Strengths include the incorporation of stroke as an endpoint and race as a characteristic, improving prediction for African-American individuals.
- It also provides lifetime ASCVD risk estimates for adults aged 20-59.
Conclusions:
- The ACC/AHA Pooled Cohort Equations offer advancements in cardiovascular risk prediction by including stroke and race.
- Omissions such as chronic kidney disease and social deprivation are notable weaknesses.
- Potential overestimation of ASCVD risk requires further validation to prevent overtreatment with statins.
Related Concept Videos
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
579
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
579
Relative Risk
2.6K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.6K
Hazard Ratio
737
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
For example, in a clinical trial...
737
Odds Ratio
2.4K
The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
2.4K
Statistical Methods for Analyzing Epidemiological Data
1.3K
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
1.3K
Actuarial Approach
384
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
384

