General versus central adiposity as risk factors for cardiovascular-related outcomes in a high-risk population with type 2 diabetes: a post hoc analysis of the REWIND trial.


Journal

Cardiovascular diabetology
ISSN: 1475-2840
Titre abrégé: Cardiovasc Diabetol
Pays: England
ID NLM: 101147637

Informations de publication

Date de publication:
10 03 2023
Historique:
received: 28 11 2022
accepted: 27 01 2023
entrez: 10 3 2023
pubmed: 11 3 2023
medline: 15 3 2023
Statut: epublish

Résumé

In clinical practice, anthropometric measures other than BMI are rarely assessed yet may be more predictive of cardiovascular (CV) risk. We analyzed the placebo group of the REWIND CV Outcomes Trial to compare several anthropometric measures as baseline risk factors for cardiovascular disease (CVD)-related outcomes in participants with type 2 diabetes (T2D). Data from the REWIND trial placebo group (N = 4952) were analyzed. All participants had T2D, age ≥ 50 years, had either a previous CV event or CV risk factors, and a BMI of ≥ 23 kg/m Participants in the placebo group experienced 663 MACE-3 events, 346 CVD-related deaths, 592 all-cause deaths, and 226 events of HF requiring hospitalization during the median follow-up of 5.4 years. WHR and WC, but not BMI, were identified as independent risk factors of MACE-3 (hazard ratio [HR] for WHR: 1.11 [95% CI 1.03 to 1.21]; p = 0.009; HR for WC: 1.12 [95% CI 1.02 to 1.22]; p = 0.012). WC adjusted for hip circumference (HC) showed the strongest association with MACE-3 compared to WHR, WC, or BMI unadjusted for each other (HR: 1.26 [95% CI 1.09 to 1.46]; p = 0.002). Results for CVD-related mortality and all-cause mortality were similar. WC and BMI were risk factors for HF requiring hospitalization, but not WHR or WC adjusted for HC (HR for WC: 1.34 [95% CI 1.16 to 1.54]; p < 0.001; HR for BMI: 1.33 [95% CI 1.17 to 1.50]; p < 0.001). No significant interaction with sex was observed. In this post hoc analysis of the REWIND placebo group, WHR, WC and/or WC adjusted for HC were risk factors for MACE-3, CVD-related mortality, and all-cause mortality; while BMI was only a risk factor for HF requiring hospitalization. These findings indicate the need for anthropometric measures that consider body fat distribution when assessing CV risk.

Sections du résumé

BACKGROUND
In clinical practice, anthropometric measures other than BMI are rarely assessed yet may be more predictive of cardiovascular (CV) risk. We analyzed the placebo group of the REWIND CV Outcomes Trial to compare several anthropometric measures as baseline risk factors for cardiovascular disease (CVD)-related outcomes in participants with type 2 diabetes (T2D).
METHODS
Data from the REWIND trial placebo group (N = 4952) were analyzed. All participants had T2D, age ≥ 50 years, had either a previous CV event or CV risk factors, and a BMI of ≥ 23 kg/m
RESULTS
Participants in the placebo group experienced 663 MACE-3 events, 346 CVD-related deaths, 592 all-cause deaths, and 226 events of HF requiring hospitalization during the median follow-up of 5.4 years. WHR and WC, but not BMI, were identified as independent risk factors of MACE-3 (hazard ratio [HR] for WHR: 1.11 [95% CI 1.03 to 1.21]; p = 0.009; HR for WC: 1.12 [95% CI 1.02 to 1.22]; p = 0.012). WC adjusted for hip circumference (HC) showed the strongest association with MACE-3 compared to WHR, WC, or BMI unadjusted for each other (HR: 1.26 [95% CI 1.09 to 1.46]; p = 0.002). Results for CVD-related mortality and all-cause mortality were similar. WC and BMI were risk factors for HF requiring hospitalization, but not WHR or WC adjusted for HC (HR for WC: 1.34 [95% CI 1.16 to 1.54]; p < 0.001; HR for BMI: 1.33 [95% CI 1.17 to 1.50]; p < 0.001). No significant interaction with sex was observed.
CONCLUSIONS
In this post hoc analysis of the REWIND placebo group, WHR, WC and/or WC adjusted for HC were risk factors for MACE-3, CVD-related mortality, and all-cause mortality; while BMI was only a risk factor for HF requiring hospitalization. These findings indicate the need for anthropometric measures that consider body fat distribution when assessing CV risk.

Identifiants

pubmed: 36899386
doi: 10.1186/s12933-023-01757-z
pii: 10.1186/s12933-023-01757-z
pmc: PMC9999507
doi:

Types de publication

Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

52

Informations de copyright

© 2023. The Author(s).

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Auteurs

Edward Franek (E)

Mossakowski Medical Research Centre, Polish Academy of Sciences and Central Clinical Hospital MSWiA, Warsaw, Poland.

Prem Pais (P)

St John's Research Institute, Bangalore, India.

Jan Basile (J)

Medical University of South Carolina, Ralph H. Johnson VA Medical Center, Charleston, SC, USA.

Claudia Nicolay (C)

Eli Lilly and Company, Indianapolis, IN, USA.

Sohini Raha (S)

Eli Lilly and Company, Indianapolis, IN, USA.

Ana Hickey (A)

Eli Lilly and Company, Indianapolis, IN, USA.

Nadia N Ahmad (NN)

Eli Lilly and Company, Indianapolis, IN, USA.

Manige Konig (M)

Eli Lilly and Company, Indianapolis, IN, USA.

Hong Kan (H)

Eli Lilly and Company, Indianapolis, IN, USA. kan_hongjun@lilly.com.

Hertzel C Gerstein (HC)

Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, ON, Canada.

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Classifications MeSH