Can the postload-fasting glucose gap be used to determine risk of developing diabetes in chinese adults: A prospective cohort study.

Normoglycemic OGTT Prediabetes Type 2 Diabetes

Journal

Diabetes research and clinical practice
ISSN: 1872-8227
Titre abrégé: Diabetes Res Clin Pract
Pays: Ireland
ID NLM: 8508335

Informations de publication

Date de publication:
29 Jun 2024
Historique:
received: 19 03 2024
revised: 14 06 2024
accepted: 25 06 2024
medline: 2 7 2024
pubmed: 2 7 2024
entrez: 1 7 2024
Statut: aheadofprint

Résumé

To evaluate the relationship between fasting plasma glucose (FPG) and 2-hour postload plasma glucose (2hPG) measured during an oral glucose tolerance test, and the risk of developing diabetes in Chinese adults. We followed 3,094 participants without diabetes, categorizing them based on their oral glucose tolerance test (OGTT) results into low post load (2hPG ≤ FPG) and high post load (2hPG > FPG) at baseline. We monitored the incidence of diabetes, incidence of prediabetes, disease progression from prediabetes to diabetes and disease reversal from prediabetes to normal glucose tolerance (NGT) over an average of 3.2 years of follow-up. After the Schoenfeld residual test, Cox's time-varying covariate (Cox-TVC) models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CI) to compare the different clinical events between low and high post load groups. In the cohort study, of the 3,094 participants, 702 (22.7 %) had low post load (2hPG ≤ FPG, mean postload-fasting gap: -0.8 ± 0.7 mmol/L) and 2,392 (77.3 %) had high post load (2hPG > FPG, mean postload-fasting gap: 1.8 ± 1.2 mmol/L). Over 3.2 ± 0.2 years of follow-up, 282 (9.1 %) developed diabetes. In the low post load group, the incidence rates per 1,000 person-years were: diabetes was 7.9, prediabetes was 70.0, disease progression from prediabetes to diabetes was 23.4 and disease reversal to NGT was 327.2. For the high post load group, incidence rates for diabetes was 13.9, prediabetes was 124.3, disease progression was 59.5 and disease reversal was 238.6 per 1,000 person-years. Participants with high post load showed higher incidence rates of diabetes, prediabetes, and progression from prediabetes to diabetes compared to those with low post load. HRs were significantly higher for incident diabetes and prediabetes, and disease progression from prediabetes to diabetes, whereas disease reversal was lower. The risk of developing prediabetes/diabetes after 3.2 years of follow-up was higher in the participants with high post load. It suggested that postload-fasting gap may be a simple tool to predict the risk of developing prediabetes, diabetes or reversal to NGT.

Identifiants

pubmed: 38950783
pii: S0168-8227(24)00671-5
doi: 10.1016/j.diabres.2024.111761
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111761

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Xiaohan Xu (X)

Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK; Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China.

Duolao Wang (D)

Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.

Shabbar Jaffar (S)

Institute for Global Health, University College London, London, UK.

Uazman Alam (U)

Department of Cardiovascular & Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, UK; Diabetes & Neuropathy Research, Department of Medicine, 3rd Floor Clinical Sciences Centre, Liverpool University NHS Hospital Foundation Trust, Longmoor Lane, Liverpool, UK.

Shanhu Qiu (S)

Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China.

Bo Xie (B)

Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China.

Xiaoying Zhou (X)

Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China.

Zilin Sun (Z)

Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China. Electronic address: sunzilin1963@126.com.

Anupam Garrib (A)

Institute for Global Health, University College London, London, UK. Electronic address: a.garrib@ucl.ac.uk.

Classifications MeSH