Type 2 & other diabetes

Metabolic Profiles of Type 2 Diabetes and Their Association With Renal Complications

J Clin Endocrinol MetabPublished Cohort study with cluster analysis and external validation

Authors' conclusion

We identified 6 prevalent metabolic profiles in patients with T2D. Severe hyperglycemia and moderate dyslipidemia were validated as significant risk markers for DKD.

Study context

Population
Patients with T2D: hospital derivation cohort and community-survey external validation cohort3,556 derivation, 931 validation · hospital derivation cohort 3,556
Comparison
Metabolic profile clusters vs cluster 1
Outcome
Onset of diabetic kidney disease (DKD)
Methodological detailsderivation cohort (hospital), external validation cohort (community survey), clustering on 5 metabolic syndrome (MetS) components, multivariate adjustment for baseline covariates
  • Derivation cohort (hospital)
  • External validation cohort (community survey)
  • Clustering on 5 MetS components
  • Multivariate adjustment for baseline covariates

Performance

As reported in the abstract

DKD (derivation cohort)
Each group vs cluster 1Hazard ratio (95% CI)
Cluster 3
1.72(1.39–2.12)
Cluster 4
1.97(1.53–2.54)

Secondary outcomes

OutcomeEstimate
DKD (validation cohort)Cluster 3vs Cluster 1aOR 1.24 (CI 1.07–1.44)
DKD (validation cohort)Cluster 4vs Cluster 1aOR 1.39 (CI 1.03–1.87)
Macroalbuminuria (derivation cohort)Cluster 3vs Cluster 1HR 2.74 (95% CI 1.84–4.08)
Macroalbuminuria (derivation cohort)Cluster 4vs Cluster 1HR 2.62 (95% CI 1.61–4.25)
ESRD (derivation cohort)Cluster 3vs Cluster 1HR 4.31 (95% CI 1.16–15.99)
OutcomeP value
eGFR decline (derivation cohort)Cluster 3 vs Cluster 1 · increased risk with Cluster 3P < 0.001

Original publication

Metabolic Profiles of Type 2 Diabetes and Their Association With Renal Complications. J Clin Endocrinol Metab. Published 2 November 2023. doi:10.1210/clinem/dgad643

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