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Prystupa, K. ; Delgado, G.E.* ; Moissl, A.P.* ; Kleber, M.E.* ; Birkenfeld, A.L. ; Heni, M. ; Fritsche, A. ; Marz, W.* ; Wagner, R.

Clusters of prediabetes and type 2 diabetes stratify all-cause mortality in a cohort of participants undergoing invasive coronary diagnostics.

Cardiovasc. Diabetol. 22:211 (2023)
DOI PMC
Creative Commons Lizenzvertrag
Open Access Gold as soon as Publ. Version/Full Text is submitted to ZB.
BACKGROUND: Heterogeneous metabolic clusters have been identified in diabetic and prediabetic states. It is not known whether such pathophysiologic clusters impact survival in at-risk persons being evaluated for coronary heart disease. METHODS: The LURIC Study recruited patients referred for coronary angiography at a median age of 63 (IQR 56-70) with a follow-up of 16.1 (IQR 9.6, 17.7) years. Clustering of 1269 subjects without diabetes was performed with oGTT-derived glucose and insulin; fasting triglyceride, high-density lipoprotein, BMI, waist and hip circumference. Patients with T2D (n = 794) were clustered using age, BMI, glycemia, homeostasis model assessment, and islet autoantibodies. Associations of clusters with mortality were analysed using Cox regression. RESULTS: Individuals without diabetes were classified into six subphenotypes, with 884 assigned to subjects at low-risk (cluster 1,2,4) and 385 at high-risk (cluster 3,5,6) for diabetes. We found significantly increased mortality in clusters 3 (hazard ratio (HR)1.42), 5 (HR 1.43), and 6 (HR 1.46) after adjusting for age, BMI, HbA1c and sex. In the T2D group, 508 were assigned to mild age-related diabetes (MARD), 183 to severe insulin-resistant diabetes (SIRD), 84 to mild obesity-related diabetes (MOD), 19 to severe insulin-deficient diabetes (SIDD). Compared to the low-risk non-diabetes group, crude mortality was not different in MOD. Increased mortality was found for MARD (HR 2.2), SIRD (HR 2.2), and SIDD (HR 2.5). CONCLUSIONS: Metabolic clustering successfully stratifies survival even among persons undergoing invasive coronary diagnostics. Novel clustering approaches based on glucose metabolism can identify persons who require special attention as they are at risk of increased mortality.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords All-cause Mortality ; Clusters ; Prediabetes ; Type 2 Diabetes; Cardiovascular-disease; Insulin-resistance; Subgroups; Risk
ISSN (print) / ISBN 1475-2840
e-ISSN 1475-2840
Quellenangaben Volume: 22, Issue: 1, Pages: , Article Number: 211 Supplement: ,
Publisher BioMed Central
Publishing Place Campus, 4 Crinan St, London N1 9xw, England
Non-patent literature Publications
Reviewing status Peer reviewed
Grants Projekt DEAL
German Center for Diabetes Research (DZD)
Federal Ministry of Education and Research (BMBF)