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The Duke Treadmill Score has been shown to be less useful for estimating prognosis in elderly men, and studies evaluating newer exercise parameters such as heart rate recovery have shown inconsistent results in elderly men, and have not been studied specifically in elderly women. The purpose of the current study is to identify the best predictors of all–cause mortality in elderly women compared to younger women, using a comprehensive set of exercise testing and clinical variables.
This study consisted of 26,500 consecutive women (5,939 age greater than or equal to 65 years, with a control sample of 20,561 age less than 65 years) who underwent clinical exercise testing at a tertiary care hospital with a median follow–up of 7.1 years. Cox hazard model was used to identify the best set of predictors of all–cause mortality, from potential clinical and exercise–derived variables.
In both age groups, peak exercise METs had the strongest association with death. The Duke Treadmill Score was not selected as a predictor of mortality in a multivariate model when other clinical and exercise variables were considered. In elderly women, abnormal heart rate recovery, and a trend for rate–pressure product response during exercise, were predictors of all–cause mortality as well. In younger women, abnormal heart rate recovery added additional prognostic information to clinical predictors of mortality.
Exercise peak METs and heart rate recovery, but not Duke Treadmill Score, are the best predictors of all–cause mortality in elderly women.
Special Session North, Room 120
Monday, March 11, 2013, 11:30 a.m.–11:45 a.m.
Session Title: Young Investigator Awards Competition: Cardiovascular Health Outcomes and Population Genetics
Abstract Category: Cardiovascular Health Outcomes and Population Genetics
Presentation Number: 409–7
- 2013 American College of Cardiology Foundation