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

European heart journal open Pub Date : 2024-03-27 eCollection Date: 2024-03-01 DOI:10.1093/ehjopen/oeae009
Wen Zheng, Xin Huang, Xiao Wang, Min Suo, Yan Yan, Wei Gong, Hui Ai, Bin Que, Shaoping Nie
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Abstract

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, P < 0.001] and a notable risk for major bleeding (adjusted HR 1.74, 95% CI 1.36-2.24, P < 0.001) compared with Class 3. The use of DAPT, particularly aspirin combined with clopidogrel, significantly reduced the 1-year all-cause mortality in Class 1 patients (adjusted HR 0.60, 95% CI 0.37-0.98, P = 0.04) without increasing in major bleeding.

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).

多病模式对冠心病患者预后和治疗的影响。
目的:随着人口老龄化和生存率的提高,冠状动脉疾病(CAD)的多病发率越来越高,使治疗复杂化,影响生活质量和寿命。本研究确定了 CAD 患者的多病模式及其对临床结果的影响,并强调了治疗策略:研究分析了 DCEM 登记(173 459 名患者)和 BleeMACS 队列(15 401 名患者)的数据,将 CAD 患者分为三种多病模式。研究重点是这些模式如何影响疗效,尤其是双联抗血小板疗法(DAPT)的疗效和安全性。研究确定了三种不同的多病模式:第一类包括心血管-肾脏-代谢合并症,表明风险最高;第二类包括高血压-血脂异常合并症,反映了中等风险;第三类涉及非特异性合并症,表明风险最低。与 3 级患者相比,1 级患者的院内死亡率增加了 6 倍,严重院内并发症增加了 4 倍。1 年内,1 级患者的风险最高,与 3 级患者相比,全因死亡率显著增加[调整后危险比 (HR) 1.87,95% 置信区间 (CI) 1.52-2.31,P <0.001],大出血风险显著增加(调整后危险比 1.74,95% 置信区间 (CI) 1.36-2.24,P <0.001)。使用DAPT,尤其是阿司匹林联合氯吡格雷,可显著降低1级患者的1年全因死亡率(调整后HR为0.60,95% CI为0.37-0.98,P = 0.04),且不会增加大出血风险:结论:具有心血管-肾脏-代谢特征的冠心病患者面临最高的死亡风险。有针对性的 DAPT,尤其是阿司匹林和氯吡格雷,可有效降低死亡率,而不会显著增加出血风险:注册:DCEM 注册(NCT05797402)和 BleeMACS 注册(NCT02466854)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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