Literature DB >> 25439450

Relation of resting heart rate to risk for all-cause mortality by gender after considering exercise capacity (the Henry Ford exercise testing project).

Amer I Aladin1, Seamus P Whelton1, Mouaz H Al-Mallah2, Michael J Blaha1, Steven J Keteyian3, Stephen P Juraschek1, Jonathan Rubin1, Clinton A Brawner3, Erin D Michos4.   

Abstract

Whether resting heart rate (RHR) predicts mortality independent of fitness is not well established, particularly among women. We analyzed data from 56,634 subjects (49% women) without known coronary artery disease or atrial fibrillation who underwent a clinically indicated exercise stress test. Baseline RHR was divided into 5 groups with <60 beats/min as reference. The Social Security Death Index was used to ascertain vital status. Cox hazard models were performed to determine the association of RHR with all-cause mortality, major adverse cardiovascular events, myocardial infarction, or revascularization after sequential adjustment for demographics, cardiovascular disease risk factors, medications, and fitness (metabolic equivalents). The mean age was 53 ± 12 years and mean RHR was 73 ± 12 beats/min. More than half of the participants were referred for chest pain; 81% completed an adequate stress test and mean metabolic equivalents achieved was 9.2 ± 3. There were 6,255 deaths over 11.0-year mean follow-up. There was an increased risk of all-cause mortality with increasing RHR (p trend <0.001). Compared with the lowest RHR group, participants with an RHR ≥90 beats/min had a significantly increased risk of mortality even after adjustment for fitness (hazard ratio 1.22, 95% confidence interval 1.10 to 1.35). This relationship remained significant for men, but not significant for women after adjustment for fitness (p interaction <0.001). No significant associations were seen for men or women with major adverse cardiovascular events, myocardial infarction, or revascularization after accounting for fitness. In conclusion, after adjustment for fitness, elevated RHR was an independent risk factor for all-cause mortality in men but not women, suggesting gender differences in the utility of RHR for risk stratification.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25439450     DOI: 10.1016/j.amjcard.2014.08.042

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  20 in total

1.  Resting heart rate and all-cause and cardiovascular mortality in the general population: a meta-analysis.

Authors:  Dongfeng Zhang; Xiaoli Shen; Xin Qi
Journal:  CMAJ       Date:  2015-11-23       Impact factor: 8.262

2.  A multi-day and multi-band dataset for a steady-state visual-evoked potential-based brain-computer interface.

Authors:  Ga-Young Choi; Chang-Hee Han; Young-Jin Jung; Han-Jeong Hwang
Journal:  Gigascience       Date:  2019-11-01       Impact factor: 6.524

3.  Effect of heart rate on hospital mortality in critically ill patients may be modified by age: a retrospective observational study from large database.

Authors:  Dawei Zhou; Zhimin Li; Guangzhi Shi; Jianxin Zhou
Journal:  Aging Clin Exp Res       Date:  2020-07-07       Impact factor: 3.636

4.  Relation of Elevated Resting Heart Rate in Mid-Life to Cognitive Decline Over 20 Years (from the Atherosclerosis Risk in Communities [ARIC] Study).

Authors:  Stephanie Wang; Oluwaseun E Fashanu; Di Zhao; Eliseo Guallar; Rebecca F Gottesman; Andrea L C Schneider; John W McEvoy; Faye L Norby; Amer I Aladin; Alvaro Alonso; Erin D Michos
Journal:  Am J Cardiol       Date:  2018-10-21       Impact factor: 2.778

5.  Resting heart rate and the incidence and progression of valvular calcium: The Multi-Ethnic Study of Atherosclerosis (MESA).

Authors:  Kojo Amoakwa; Oluwaseun E Fashanu; Martin Tibuakuu; Di Zhao; Eliseo Guallar; Seamus P Whelton; Wesley T O'Neal; Wendy S Post; Matthew J Budoff; Erin D Michos
Journal:  Atherosclerosis       Date:  2018-04-06       Impact factor: 5.162

6.  Association between resting heart rate and coronary artery disease, stroke, sudden death and noncardiovascular diseases: a meta-analysis.

Authors:  Dongfeng Zhang; Weijing Wang; Fang Li
Journal:  CMAJ       Date:  2016-08-22       Impact factor: 8.262

7.  An Open-Source Feature Extraction Tool for the Analysis of Peripheral Physiological Data.

Authors:  Mohsen Nabian; Yu Yin; Jolie Wormwood; Karen S Quigley; Lisa F Barrett; Sarah Ostadabbas
Journal:  IEEE J Transl Eng Health Med       Date:  2018-10-26       Impact factor: 3.316

Review 8.  Sinus Tachycardia: a Multidisciplinary Expert Focused Review.

Authors:  Kenneth A Mayuga; Artur Fedorowski; Fabrizio Ricci; Rakesh Gopinathannair; Jonathan Walter Dukes; Christopher Gibbons; Peter Hanna; Dan Sorajja; Mina Chung; David Benditt; Robert Sheldon; Mirna B Ayache; Hiba AbouAssi; Kalyanam Shivkumar; Blair P Grubb; Mohamed H Hamdan; Stavros Stavrakis; Tamanna Singh; Jeffrey J Goldberger; James A S Muldowney; Mark Belham; David C Kem; Cem Akin; Barbara K Bruce; Nicole E Zahka; Qi Fu; Erik H Van Iterson; Satish R Raj; Fetnat Fouad-Tarazi; David S Goldstein; Julian Stewart; Brian Olshansky
Journal:  Circ Arrhythm Electrophysiol       Date:  2022-09-08

9.  Ideal cardiovascular health and resting heart rate in the Multi-Ethnic Study of Atherosclerosis.

Authors:  Olatokunbo Osibogun; Oluseye Ogunmoroti; Erica S Spatz; Oluwaseun E Fashanu; Erin D Michos
Journal:  Prev Med       Date:  2019-11-09       Impact factor: 4.018

Review 10.  Cardiorespiratory Fitness and Cardiovascular Disease Prevention: an Update.

Authors:  Mouaz H Al-Mallah; Sherif Sakr; Ada Al-Qunaibet
Journal:  Curr Atheroscler Rep       Date:  2018-01-16       Impact factor: 5.113

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