Multivariate Risk of CVD in Diverse Populations

To statistically examine cardiovascular disease (CVD) risk in different populations based on data from studies representing national samples, cohort studies, and clinical trials.

Study Overview

• Status: Completed
• Conditions: Heart Diseases; Cardiovascular Diseases

Detailed Description

BACKGROUND:

Several algorithms have been developed to calculate multivariate risk of CVD based on characteristics associated with the disease. Framingham Heart Study data were used to develop the original algorithms, along with later models, using different mathematical forms, outcomes, and characteristics. Researchers then began to investigate the issue of generalizability, whether these risk estimates could be applied to new populations. For these algorithms to have general application, they must be able to rank risk correctly. And, when Framingham models were compared to new models developed for other studies, resulting orderings of risk were, in fact, similar.

The ability to order risk correctly, however, does not imply that estimated probabilities are right in terms of predicting disease for individuals. Methods are needed to assess individual risk to make treatment decisions, do cost-benefit analyses, and quantify benefits. These methods must be based on the patient's absolute risk, and existing equations may be incapable of establishing absolute risk across populations.

Earlier comparisons of multivariate risk among studies have made comparison populations as homogenous as possible before analysis. However, if multivariate risk estimates are to be truly useful, they must be applicable to the general population, and to be applicable, estimates must be based on comparisons of cohorts that include women and ethnic minorities. Also, in statistical terms, estimates must be robust enough to allow for minor shifts in methodologies for data collection and endpoint definition.

DESIGN NARRATIVE:

The heterogeneity of multivariate risk in different populations was examined based on data from studies representing national samples, cohort studies, and clinical trials. An analysis of these studies was conducted that included both sexes, various risk profiles, and representatives from several nationalities and ethnic groups. The pooled sample involved 20 studies, 233,833 participants, and over 47,000 deaths. Based on a common statistical approach, proportional hazards models were developed for each study to relate a set of essential characteristics to the prediction of CVD mortality. The characteristics included body mass index, age, blood pressure, serum cholesterol, smoking, and diabetes status. The models were then compared in terms of their ability to predict absolute risk of mortality across studies.

Secondary analyses were conducted to discover factors associated with inaccurate prediction and study characteristics associated with particular findings, such as interaction terms. An empirical examination was conducted of methods for adding newly discovered risk factors to existing prediction equations.

The study completion date listed in this record was obtained from the "End Date" entered in the Protocol Registration and Results System (PRS) record.

• Study Type: Observational

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: No older than 100 years (Child, Adult, Older Adult)
• Accepts Healthy Volunteers: No
• Genders Eligible for Study: All

Description

No eligibility criteria

Study Plan

How is the study designed?

Collaborators and Investigators

• Sponsor: National Heart, Lung, and Blood Institute (NHLBI)
• Investigators: Daniel McGee, Florida State University

Publications and helpful links

General Publications

• Natarajan S, Liao Y, Cao G, Lipsitz SR, McGee DL. Sex differences in risk for coronary heart disease mortality associated with diabetes and established coronary heart disease. Arch Intern Med. 2003 Jul 28;163(14):1735-40. doi: 10.1001/archinte.163.14.1735.
• Diverse Populations Collaboration. Smoking, body weight, and CHD mortality in diverse populations. Prev Med. 2004 Jun;38(6):834-40. doi: 10.1016/j.ypmed.2003.12.022.
• Natarajan S, Liao Y, Sinha D, Cao G, McGee DL, Lipsitz SR. Sex differences in the effect of diabetes duration on coronary heart disease mortality. Arch Intern Med. 2005 Feb 28;165(4):430-5. doi: 10.1001/archinte.165.4.430.

Study record dates

Study Major Dates

• Study Start: September 1, 2000
• Study Completion (Actual): August 1, 2004

Study Registration Dates

• First Submitted: November 20, 2000
• First Submitted That Met QC Criteria: November 20, 2000
• First Posted (Estimate): November 21, 2000

Study Record Updates

• Last Update Posted (Estimate): February 18, 2016
• Last Update Submitted That Met QC Criteria: February 17, 2016
• Last Verified: July 1, 2005

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Heart Diseases; Cardiovascular Diseases
• Other Study ID Numbers: 950 (Duke); R01HL067460 (U.S. NIH Grant/Contract)