Clinical Significance of the Maximum Body Mass Index Before Onset of Type 2 Diabetes for Predicting Beta-Cell Function.

insulin secretion capacity obesity type 2 diabetes

Journal

Journal of the Endocrine Society
ISSN: 2472-1972
Titre abrégé: J Endocr Soc
Pays: United States
ID NLM: 101697997

Informations de publication

Date de publication:
01 Apr 2020
Historique:
received: 30 05 2019
accepted: 23 02 2020
entrez: 20 3 2020
pubmed: 20 3 2020
medline: 20 3 2020
Statut: epublish

Résumé

This study aimed to clarify the clinical significance of the maximum body mass index (BMI) before the onset of type 2 diabetes (MBBO) for predicting pancreatic beta-cell function. This was a cross-sectional observational study. Of 1304 consecutively admitted patients with type 2 diabetes, we enrolled 410 patients satisfying the criteria in this study. The correlations between the C-peptide index (CPI), which is one of the parameters that reflects beta-cell function, and various clinical parameters, including MBBO and duration of diabetes, were analyzed in multiple linear regression analyses. The analyses revealed that MBBO was correlated with CPI independently after adjustment for age, sex, HbA1c, and duration of diabetes. When we divided the subjects into three subgroups by MBBO (MBBO < 25 kg/m MBBO may be an independent factor correlating with beta-cell function and may predict insulin secretion capacity at diagnosis, but it does not seem to affect the rate of decline in insulin secretion capacity after diagnosis. It is important to preserve beta-cell function by decreasing a patient's BMI during treatment after diagnosis regardless of MBBO.

Identifiants

pubmed: 32190805
doi: 10.1210/jendso/bvz023
pii: bvz023
pmc: PMC7069807
doi:

Types de publication

Journal Article

Langues

eng

Pagination

bvz023

Informations de copyright

© Endocrine Society 2020.

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Auteurs

Harutoshi Ozawa (H)

Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.

Kenji Fukui (K)

Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.

Sho Komukai (S)

Division of Biomedical Statistics, Department of Integrated Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.

Yoshiya Hosokawa (Y)

Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.

Yukari Fujita (Y)

Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.
Department of Community Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.

Takekazu Kimura (T)

Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.

Ayumi Tokunaga (A)

Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.

Junji Kozawa (J)

Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.

Hiromi Iwahashi (H)

Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.
Department of Diabetes Care Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.

Iichiro Shimomura (I)

Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.

Classifications MeSH