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Body-weight variability and risk of cardiovascular outcomes in patients with type 1 diabetes: a retrospective observational analysis of data from the DCCT/EDIC population.
VAROQUAUX, Gaël
Méthodes computationnelles et mathématiques pour comprendre la société et la santé à partir de données [SODA]
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Méthodes computationnelles et mathématiques pour comprendre la société et la santé à partir de données [SODA]
VAROQUAUX, Gaël
Méthodes computationnelles et mathématiques pour comprendre la société et la santé à partir de données [SODA]
Méthodes computationnelles et mathématiques pour comprendre la société et la santé à partir de données [SODA]
VIE, Jill-Jênn
Méthodes computationnelles et mathématiques pour comprendre la société et la santé à partir de données [SODA]
Méthodes computationnelles et mathématiques pour comprendre la société et la santé à partir de données [SODA]
PERSEGHIN, Gianluca
Università degli Studi di Milano-Bicocca = University of Milano-Bicocca [UNIMIB]
< Reduce
Università degli Studi di Milano-Bicocca = University of Milano-Bicocca [UNIMIB]
Language
EN
Article de revue
This item was published in
Cardiovascular Diabetology. 2022-11-17, vol. 21, n° 1, p. 247
English Abstract
Cardiovascular risk and body-weight management are both emerging challenges of type 1 diabetes care. We evaluated the association between intraindividual variability of body-weight and risk of cardiovascular events in ...Read more >
Cardiovascular risk and body-weight management are both emerging challenges of type 1 diabetes care. We evaluated the association between intraindividual variability of body-weight and risk of cardiovascular events in people with type 1 diabetes. We analyzed 1,398 participants from the DCCT/EDIC studies. Five indices of intraindividual variability of body-weight were calculated for each participant taking into account body-weight measures obtained during the DCCT follow-up (average 6 ± 2 years). The Average Successive Variability (ASV) index, the main variable of interest, was defined as the average absolute difference between successive body-weight measures. The primary outcome was a composite of major adverse cardiovascular events (MACE: nonfatal myocardial infarction or stroke, or cardiovascular death) occurring during the subsequent EDIC follow-up (20 ± 3 years). All-cause death was a secondary outcome. Risk of outcomes were assessed by Cox proportional hazards regression analyses, adjusted for traditional cardiovascular risks factors, including BMI. The cumulative incidence of MACE and all-cause death during follow-up were 5.6% (n = 79) and 6.8% (n = 95), respectively. The adjusted Hazard Ratio (HR) for MACE by every increase of 1 standard deviation (SD) of ASV was 1.34 (95% CI, 1.06-1.66), p = 0.01. For all-cause death, the adjusted HR for 1 SD increase of ASV was 1.25 (1.03-1.50), p = 0.03. Similar results were observed when considering the other indices of intraindividual variability of body-weight. High body-weight variability (body-weight cycling) is associated with increased risk of MACE and all-cause death in people with type 1 diabetes, independently of the BMI and traditional cardiovascular risk factors.Read less <
Keywords
Article clinique
English Keywords
Humans
Diabetes Mellitus
Type 1
Retrospective Studies
Risk Factors
Cardiovascular System
Body Weight
Myocardial Infarction