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June 7, 2026Diabetes

Discrimination of mortality, CVD, and CKD was similar across clustering models and original variables (C-indices: mortality 0.696-0.700; CVD 0.642-0.647; CKD 0.669-0.677).

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Why the study?

Does phenotypic clustering of T2D improve prognostic discrimination for mortality, CVD, and CKD compared to standard clinical variables?

Population

871 prevalent and 462 incident T2D cases in the Multiethnic Study of Atherosclerosis across four exams

Comparison

Established k-means clustering models for T2D… vs Original clinical variables

Design

Cohort

Follow-up

18 years

Authors

LOLANA OLSONFHFang‐Chi HsuKSKIRK SMITH

Discussion

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Overview

Established T2D phenotypic clustering does not improve prognostic discrimination for mortality, CVD, or CKD over standard clinical variables in a multiethnic cohort.

Structured PICO

Does phenotypic clustering of T2D improve prognostic discrimination for mortality, CVD, and CKD compared to standard clinical variables?

P
Population
871 prevalent and 462 incident T2D cases in the Multiethnic Study of Atherosclerosis (MESA) across four exams (2000-2007)
I
Intervention
Established k-means clustering models for T2D subgroups (MARD, MOD, SIDD, SIRD)
C
Comparator
Original clinical variables (age at onset, BMI, HbA1c, HOMA2-IR, and HOMA2-β)
O
Outcome
Discrimination for mortality, CVD, and CKDhard clinical

Established T2D phenotypic clustering does not improve prognostic discrimination for mortality, CVD, or CKD over standard clinical variables in a multiethnic cohort.

Cite This Study

OLSON et al. (2026) studied this question.

synapsesocial.com/papers/6a250cd27def13d035e1cfbdhttps://doi.org/10.2337/db26-2351-p
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 12335-P: Metabolomic Analysis Reveals That Prediabetes Subgroups Have Different Likelihoods of T2D Onset: A Definition, Etiology, and Function: Integration to Enhance T2D Treatment (DEFINE-T2D) Consortium Analysis2026
  2. 2Clustering of diabetes: implications for personalized treatment2025
  3. 32401-P: Genetic Regulation of Molecular Traits Enhances Precision Risk Stratification in Youth-Onset Type 2 Diabetes2026
  4. 42403-P: Diabetes Clusters, Risk of Complications, and Differences in Partitioned Polygenic Risk Scores (PPRS) in Indigenous Americans2026
  5. 52231-P: RECLASS-T1D: Real-World Evaluation of AABBCC Criteria for Diabetes Classification: Experience from 6.7 Million U.S. Patients2026