Related Experiment Video
Updated: May 20, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Meta-analysis of optimal risk stratification in patients >65 years of age
Mridula Rai1, William Leslie Baker, Matthew Wayne Parker
1Nuclear Cardiology Laboratory, Henry Low Heart Center, Hartford Hospital, Connecticut. USA. mrai@harthosp.org
Insights
For older adults with suspected heart disease, stress imaging tests like myocardial perfusion imaging and stress echocardiography effectively predict cardiac events. Exercise tolerance testing alone was not found to be a reliable predictor in this population.
Area of Science:
- Cardiology
- Diagnostic Imaging
- Geriatric Medicine
Background:
- Older adults (>65 years) represent a growing population with increased cardiovascular risk.
- Optimal noninvasive strategies for cardiac risk assessment in this demographic are not well-established.
- Coronary artery disease is a significant concern in the elderly, leading to higher morbidity and mortality.
Purpose of the Study:
- To evaluate the most effective noninvasive diagnostic strategy for cardiac risk assessment in patients over 65 with known or suspected coronary artery disease.
- To compare the predictive accuracy of stress myocardial perfusion imaging (MPI), stress echocardiography, and exercise tolerance testing (ETT) for cardiac events.
Main Methods:
- A meta-analysis of published cohort studies was conducted.
- Included studies involved patients >65 years with known/suspected coronary artery disease, ≥100 patients, and ≥12 months follow-up.
- Data on cardiac death and/or nonfatal myocardial infarction following MPI, stress echocardiography, or ETT were analyzed.
Main Results:
- Seventeen studies with 13,304 patients (mean age 75.5 years) were analyzed.
- Abnormal stress myocardial perfusion imaging (OR 11.8) and stress echocardiography (OR 3.2) significantly stratified cardiac risk compared to normal results.
- Exercise tolerance testing showed similar cardiac event rates for both normal and abnormal results (OR 3.1).
Conclusions:
- Stress imaging techniques, specifically myocardial perfusion imaging and stress echocardiography, are effective tools for stratifying cardiac risk in older patients.
- Exercise tolerance testing alone is not a reliable method for predicting cardiac events in this patient group.
- These findings support the use of stress imaging for guiding clinical decisions in elderly patients with suspected coronary artery disease.
Abstract:
This meta-analysis evaluated the optimal noninvasive strategy for cardiac risk assessment of patients >65 years of age with known or suspected coronary artery disease using the available literature. Patients >65 years of age constitute a growing proportion of the population and have higher cardiovascular morbidity and mortality, but an optimal strategy to predict the risk of cardiac events in this group is unknown. A systematic search of MEDLINE was performed for cohort studies of ≥100 patients >65 years old with ≥12 months of follow-up that reported cardiac death and/or nonfatal myocardial infarction after any of stress myocardial perfusion imaging (MPI), stress echocardiography, or exercise tolerance testing (ETT) for known or suspected coronary artery disease. Pooled annualized event rates were calculated for each technique. Summary odds ratios (ORs) between normal and abnormal test results were calculated using a random-effects model. Seventeen studies (MPI 7, stress echocardiography 7, ETT 3) in 13,304 patients (mean age 75.5 years) were included. Abnormal compared to normal stress MPI (OR 11.8, 95% confidence interval [CI] 7.5 to 18.7) and stress echocardiography (OR 3.2, 95% CI 2.6 to 3.9) accurately stratified risk in patients. However, patients with abnormal and normal ETT results had similar cardiac event rates (OR 3.1, 95% CI 0.8 to 11.5). In conclusion, stress imaging with MPI or stress echocardiography effectively stratified risk in patients, whereas ETT alone did not.
Related Concept Videos
Pharmacodynamics in Geriatric Patients: Effects of Age
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Metabolism
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Distribution
Drug Dosing: Geriatric Patients
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Absorption
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Excretion