Impact of multimorbidity patterns on outcomes and treatment in patients with coronary artery disease.

Aims: With an aging population and better survival rates, coronary artery disease (CAD) with multimorbidity has become more prevalent, complicating treatment and impacting life quality and longevity. This study identifies multimorbidity patterns in CAD patients and their effect on clinical outcomes, emphasizing treatment strategies. Methods and results: The study analysed data from the DCEM registry (173 459 patients) and BleeMACS cohort (15 401 patients) to categorize CAD patients into three multimorbidity patterns. The focus was on how these patterns influence outcomes, especially concerning the efficacy and safety of dual antiplatelet therapy (DAPT). The study identified three distinct multimorbidity patterns: Class 1 encompassed cardiovascular-kidney-metabolic comorbidities indicating the highest risk; Class 2 included hypertension-dyslipidaemia comorbidities, reflecting intermediate risk; and Class 3 involved non-specific comorbidities, indicating the lowest risk. Class 1 patients demonstrated a six-fold increase in in-hospital mortality and a four-fold increase in severe in-hospital complications compared with Class 3. Over a 1-year period, Class 1 was associated with the highest risk, displaying a significant increase in all-cause mortality [adjusted hazard ratio (HR) 1.87, 95% confidence interval (CI) 1.52-2.31, Conclusion: Coronary artery disease patients with a cardiovascular-kidney-metabolic profile face the highest mortality risk. Targeted DAPT, especially aspirin and clopidogrel, effectively lowers mortality without significantly raising bleeding risks. Registration: DCEM registry (NCT05797402) and BleeMACS registry (NCT02466854).