基里普班
医学
心脏病学
心肌梗塞
内科学
狼牙棒
射血分数
心力衰竭
人口
经皮冠状动脉介入治疗
环境卫生
作者
Matteo Armillotta,Sara Amicone,Luca Bergamaschi,Francesco Angeli,Andrea Rinaldi,Pasquale Paolisso,Andrea Stefanizzi,Angelo Sansonetti,Andrea Impellizzeri,Francesca Bodega,Lisa Canton,Nicole Suma,Damiano Fedele,D. Bertolini,Alberto Foà,Carmine Pizzi
标识
DOI:10.1016/j.ejim.2023.08.011
摘要
Abstract
Background
Killip classification is a practical clinical tool for risk stratification in patients with acute myocardial infarction (AMI). However, its prognostic role in myocardial infarction with non-obstructive coronary artery (MINOCA) is still poorly explored. Our purpose was to evaluate the prognostic role of high Killip class in the specific setting of MINOCA and compare the results with a cohort of patients with obstructive coronary arteries myocardial infarction (MIOCA). Methods
This study included 2455 AMI patients of whom 255 were MINOCA. We compared the Killip classes of MINOCA with those of MIOCA and evaluated the prognostic impact of a high Killip class, defined if greater than I, on both populations' outcome. Short-term outcomes included in-hospital death, re-AMI and arrhythmias. Long-term outcomes were all-cause mortality, re-AMI, stroke, heart failure (HF) hospitalization and the composite endpoint of MACE. Results
Killip class >1 occurred in 25 (9.8%) MINOCA patients compared to 327 (14.9%) MIOCA cases. In MINOCA subjects, a high Killip class was associated with a greater in-hospital mortality (p = 0.002) and, at long term follow-up, with a three-fold increased mortality (p = 0.001) and a four-fold risk of HF hospitalization (p = 0.003). Among MINOCA, a high Killip class was identified as a strong independent predictor of MACE occurrence [HR 2.66, 95% CI (1.25–5.64), p = 0.01] together with older age and worse kidney function while in MIOCA population also left ventricular ejection fraction and troponin value predicted MACE. Conclusions
Killip classification confirmed its prognostic impact on short- and long-term outcomes also in a selected MINOCA population, which still craves for a baseline risk stratification.
科研通智能强力驱动
Strongly Powered by AbleSci AI