Identification of pre-diabetes subphenotypes for type 2 diabetes, related vascular complications and mortality

BMJ Open Diabetes Res Care. 2025 Jun 9;13(3):e004803. doi: 10.1136/bmjdrc-2024-004803.

Abstract

Introduction: Pre-diabetes comprises diverse subphenotypes linked to varying complications, type 2 diabetes, and mortality outcomes. This study aimed to explore these outcomes across different pre-diabetes subphenotypes.

Research design and methods: The dataset included adults without type 2 diabetes with baseline HbA1c and fasting plasma glucose (FPG) measurements from Siriraj Hospital, Bangkok, Thailand. The participants were classified into six subphenotypes via the k-means clustering method on the basis of age, body mass index, FPG, HbA1c, high-density lipoprotein cholesterol and alanine aminotransferase levels. The incidences of type 2 diabetes, long-term vascular complications and mortality were compared among subphenotypes over a median follow-up of 8.8 years, employing Kaplan-Meier curves and Cox regression analysis adjusted for sex, statin use and hypertension status.

Results: Among the 4915 participants (mean age 60.1±10.1 years; 54.6% female), six clusters emerged: cluster 1, low risk (n=650; 13.2%); cluster 2, mild dysglycemia elderly (n=791; 16.1%); cluster 3, severe dysglycemia obese (n=1127; 22.9%); cluster 4, mild dysglycemia obese (n=963; 19.7%); cluster 5, severe dysmetabolic obese (n=337; 6.9%); and cluster 6, severe dysglycemia elderly (n=1042; 21.2%). Clusters were classified into diabetes risk subgroups: low risk (clusters 1 and 4) and high risk (clusters 3 and 5). Cluster 6 exhibited the highest risk, with significantly increased incidences of macrovascular complications (adjusted HR 2.22, 1.51-3.27) and type 2 diabetes (1.73, 1.42-2.12). In contrast, cluster 4 demonstrated the lowest risk, with significantly decreased incidences of new chronic kidney disease (0.65, 0.44-0.96), microvascular complications (0.62, 0.43-0.89) and mortality (0.25, 0.10-0.63).

Conclusions: Our pre-diabetes phenotyping approach effectively provides valuable insights into the risk of type 2 diabetes, vascular complications and mortality in individuals with pre-diabetes. Those with high-risk phenotypes should be prioritized for type 2 diabetes and cardiovascular interventions to mitigate risks.

Keywords: Diabetes Complications; Mortality; Prediabetic State; Preventive Medicine.

MeSH terms

  • Aged
  • Biomarkers* / analysis
  • Blood Glucose / analysis
  • Body Mass Index
  • Diabetes Mellitus, Type 2* / complications
  • Diabetes Mellitus, Type 2* / mortality
  • Diabetic Angiopathies* / epidemiology
  • Diabetic Angiopathies* / etiology
  • Diabetic Angiopathies* / mortality
  • Female
  • Follow-Up Studies
  • Glycated Hemoglobin / analysis
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Phenotype
  • Prediabetic State* / classification
  • Prediabetic State* / complications
  • Prediabetic State* / mortality
  • Prognosis
  • Risk Factors
  • Thailand / epidemiology

Substances

  • Blood Glucose
  • Glycated Hemoglobin
  • Biomarkers
  • hemoglobin A1c protein, human