Cardiorespiratory Fitness and Atherosclerotic Cardiovascular Outcomes by Levels of Baseline-Predicted Cardiovascular Risk: The Look AHEAD Study.


Journal

The American journal of medicine
ISSN: 1555-7162
Titre abrégé: Am J Med
Pays: United States
ID NLM: 0267200

Informations de publication

Date de publication:
06 2021
Historique:
received: 07 10 2020
revised: 08 01 2021
accepted: 11 01 2021
pubmed: 20 2 2021
medline: 22 6 2021
entrez: 19 2 2021
Statut: ppublish

Résumé

We evaluated the associations of cardiorespiratory fitness with atherosclerotic cardiovascular disease (ASCVD) by levels of baseline-predicted ASCVD risk among adults with type 2 diabetes. We analyzed data from 4203 adults with type 2 diabetes in the Look AHEAD (Action for Health in Diabetes) study. Cardiorespiratory fitness was assessed using maximal exercise testing and categorized into low, moderate, and high; baseline-predicted. ASCVD risk was calculated using the American College of Cardiology/American Heart Association Pooled Cohort Equation. We used Cox regression models to estimate hazard ratios (HR) and 95% confidence intervals (CI) for ASCVD events (fatal and nonfatal myocardial infarction and stroke). Over a median of 9.6 years, there were 295 ASCVD events. The effect of fitness on outcomes was different across levels of 10-year predicted ASCVD risk (P for interaction < .001). Among participants with a baseline-predicted risk of 7.5% to 20%, the HR of low (vs high) fitness group was 1.94 (95% CI, 1.12-3.35) for ASCVD events. Fitness was not significantly associated with ASCVD events in the groups with baseline-predicted risk <7.5% (HR 1.53; 95% CI, 0.49-4.76) or ≥20% (HR 1.40; 95% CI, 0.88-2.24). A similar pattern was observed for myocardial infarction and stroke separately. In a large sample of type 2 diabetes individuals, the association of low fitness with incident ASCVD was modified by the baseline-predicted 10-year ASCVD risk. Our findings suggest the utility of assessing fitness in ASCVD risk stratification in type 2 diabetes, especially among those with intermediate predicted 10-year risk of ASCVD.

Sections du résumé

BACKGROUND
We evaluated the associations of cardiorespiratory fitness with atherosclerotic cardiovascular disease (ASCVD) by levels of baseline-predicted ASCVD risk among adults with type 2 diabetes.
METHODS
We analyzed data from 4203 adults with type 2 diabetes in the Look AHEAD (Action for Health in Diabetes) study. Cardiorespiratory fitness was assessed using maximal exercise testing and categorized into low, moderate, and high; baseline-predicted. ASCVD risk was calculated using the American College of Cardiology/American Heart Association Pooled Cohort Equation. We used Cox regression models to estimate hazard ratios (HR) and 95% confidence intervals (CI) for ASCVD events (fatal and nonfatal myocardial infarction and stroke).
RESULTS
Over a median of 9.6 years, there were 295 ASCVD events. The effect of fitness on outcomes was different across levels of 10-year predicted ASCVD risk (P for interaction < .001). Among participants with a baseline-predicted risk of 7.5% to 20%, the HR of low (vs high) fitness group was 1.94 (95% CI, 1.12-3.35) for ASCVD events. Fitness was not significantly associated with ASCVD events in the groups with baseline-predicted risk <7.5% (HR 1.53; 95% CI, 0.49-4.76) or ≥20% (HR 1.40; 95% CI, 0.88-2.24). A similar pattern was observed for myocardial infarction and stroke separately.
CONCLUSIONS
In a large sample of type 2 diabetes individuals, the association of low fitness with incident ASCVD was modified by the baseline-predicted 10-year ASCVD risk. Our findings suggest the utility of assessing fitness in ASCVD risk stratification in type 2 diabetes, especially among those with intermediate predicted 10-year risk of ASCVD.

Identifiants

pubmed: 33607087
pii: S0002-9343(21)00093-0
doi: 10.1016/j.amjmed.2021.01.014
pmc: PMC8176653
mid: NIHMS1685162
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

769-776.e1

Subventions

Organisme : NHLBI NIH HHS
ID : K23 HL153774
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

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Auteurs

Arnaud D Kaze (AD)

Department of Medicine, University of Maryland Medical Center, Baltimore.

Prasanna Santhanam (P)

Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, Md.

Sebhat Erqou (S)

Department of Medicine, Providence VA Medical Center and Alpert Medical School of Brown University, Providence, RI.

Alain G Bertoni (AG)

Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC.

Rexford S Ahima (RS)

Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, Md.

Justin B Echouffo-Tcheugui (JB)

Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, Md. Electronic address: jechouf1@jhmi.edu.

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Classifications MeSH