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This study analyzed how previously defined metabolic clusters of prediabetes and type 2 diabetes relate to mortality risk in patients undergoing coronary angiography. It found that specific high-risk clusters were associated with significantly higher all-cause mortality over a long-term follow-up.
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The study used data from the LURIC cohort, a prospective study of patients referred for coronary angiography. Those with type 2 diabetes (n=794) were assigned to four clusters (MARD, SIRD, MOD, SIDD) based on clinical variables. All-cause mortality was the primary outcome, analyzed with Cox regression. After adjustment for age, BMI, HbA1c, and sex, prediabetes clusters 3, 5, and 6 (high-risk for diabetes) showed increased mortality compared to low-risk clusters. Among diabetes clusters, MARD, SIRD, and SIDD had higher mortality than the low-risk non-diabetes group, while MOD did not. Limitations include a low number of participants in the SIDD cluster and a lack of cause-specific mortality data. The findings suggest metabolic clustering can identify high-risk individuals even in a high cardiovascular risk cohort.
