Heart Rate Recovery and Mortality

February 17, 2016 updated by: National Heart, Lung, and Blood Institute (NHLBI)
To investigate whether impaired heart-rate recovery after exercise is a powerful and independent predictor of mortality.

Study Overview

Status

Completed

Conditions

Detailed Description

BACKGROUND:

Although there has been considerable attention paid to the prognostic significance of the heart rate rise during exercise, only recently has it been noted that the heart rate fall after exercise, or "heart-rate recovery," may be an even more powerful predictor of outcome. Heart-rate recovery after exercise is a consequence of central reactivation of vagal tone. As impaired parasympathetic function has been associated with increased risk of death, the study tests the hypothesis that an impaired heart-rate recovery is a powerful and independent predictor of mortality.

DESIGN NARRATIVE:

The overall aim of this project was to use heart-rate recovery to substantially improve the prognostic value of the exercise test. The specific aims of this project were: 1) Derive biologically meaningful mathematical models of heart-rate recovery. Data from over 20,000 patients who had undergone exercise testing at Cleveland Clinic Foundation between 1990 and 1998 were used; all of these patients had had their tests performed on exercise workstations which recorded heart rates every 10 seconds during and after exercise. Heart-rate recovery measures were the difference between heart rate at peak exercise and heart rate at different points during recovery. Modeling was based on exponential families, using stepwise selection, bootstrapping, and information theory approaches. Correlates of different patterns of heart rate recovery were determined. 2) Using the results of modeling of heart-recovery derived from the work in Specific Aim 1, determined a prognostically defined optimal definition of abnormal heart rate recovery and demonstrated that an abnormal heart rate recovery was a powerful and independent predictor of mortality in diverse patient groups. Data from exercise tolerance tests of over 40,000 patients studied at the Cleveland Clinic Foundation between 1990 and 1999 were analyzed. Statistical methods used included the nonparametric Kaplan-Meier product limit method and the Cox proportional hazards model with bootstrap validation, which included use of the random forest technique. 3) Using completely parametric techniques, developed predictive survival models in which heart-rate recovery was included along with clinical data and other exercise findings, including exercise capacity and heart rate changes during exercise. The advantages of the parametric technique included: a) it allowed for modeling of nonproportional hazards that might permit differential strength of effect at different follow-up times for different sets of risk factors; b) it generated absolute risk, not just relative risk; and c) it permitted patient-specific prediction.

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

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

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

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

National Heart, Lung, and Blood Institute (NHLBI)

Investigators

  • Michael Lauer, The Cleveland Clinic

Publications and helpful links

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General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

March 1, 2001

Study Completion (Actual)

February 1, 2004

Study Registration Dates

First Submitted

May 16, 2002

First Submitted That Met QC Criteria

May 16, 2002

First Posted (Estimate)

May 17, 2002

Study Record Updates

Last Update Posted (Estimate)

February 18, 2016

Last Update Submitted That Met QC Criteria

February 17, 2016

Last Verified

January 1, 2005

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 1164 (Other Grant/Funding Number: Nova Scotia Health Research Foundation EGMS)
  • R01HL066004 (U.S. NIH Grant/Contract)

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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