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

dc.contributor.authorWashirasaksiri C.
dc.contributor.authorBorrisut N.
dc.contributor.authorLapinee V.
dc.contributor.authorSitasuwan T.
dc.contributor.authorTinmanee R.
dc.contributor.authorKositamongkol C.
dc.contributor.authorAriyakunaphan P.
dc.contributor.authorTangjittipokin W.
dc.contributor.authorPlengvidhya N.
dc.contributor.authorSrivanichakorn W.
dc.contributor.correspondenceWashirasaksiri C.
dc.contributor.otherMahidol University
dc.date.accessioned2025-06-21T18:08:38Z
dc.date.available2025-06-21T18:08:38Z
dc.date.issued2025-06-09
dc.description.abstractIntroduction 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.
dc.identifier.citationBMJ Open Diabetes Research and Care Vol.13 No.3 (2025)
dc.identifier.doi10.1136/bmjdrc-2024-004803
dc.identifier.eissn20524897
dc.identifier.scopus2-s2.0-105008082139
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/110813
dc.rights.holderSCOPUS
dc.subjectMedicine
dc.titleIdentification of pre-diabetes subphenotypes for type 2 diabetes, related vascular complications and mortality
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105008082139&origin=inward
oaire.citation.issue3
oaire.citation.titleBMJ Open Diabetes Research and Care
oaire.citation.volume13
oairecerif.author.affiliationMahidol University
oairecerif.author.affiliationSiriraj Hospital

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