高海拔地区急性心肌梗死合并室间隔破裂死亡率的危险因素和预测模型。

IF 2.8 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS
Li-Hong Zhang, Zhi-Fu Cen, Qian Qiao, Xue-Rui Ye, Lu Cheng, Gui-Qin Liu, Yi Liu, Xing-Qiang Zhang, Xian-Feng Pan, Hao-Ling Zhang, Jing-Jing Zhang
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引用次数: 0

摘要

背景:在再灌注治疗时代,急性心肌梗死(AMI)合并室间隔穿孔(VSR)仍然是一种高度致命的疾病。由于经皮冠状动脉介入治疗的普及,发病率已降至0.2%-0.4%。然而,未能及时进行血运重建的患者的风险显著增加,死亡率仍然很高。目前临床实践的核心矛盾在于手术时机的选择,医疗资源的差异显著影响预后。迫切需要优化高危人群的识别和个性化的治疗策略。目的:探讨高海拔地区急性心肌梗死并发室间隔破裂(AMI-VSR)患者的临床特征,确定影响预后的因素,并建立AMI-VSR患者30天死亡率预测模型。方法:回顾性分析2017 - 2024年云南省某医院收治的48例AMI-VSR患者,根据患者的生存状况分别建立生存组(n = 30)和死亡组(n = 18)。通过单因素和多因素logistic回归分析确定危险因素。利用R软件建立了nomogram模型,并通过受试者工作特征(ROC)分析和校准曲线进行验证。结果:年龄、尿酸(UA)、白细胞介素-6 (IL-6)和低血红蛋白(Hb)是30天死亡率的独立危险因素(优势比分别为1.147、1.006、1.034和0.941;P < 0.05)。nomogram具有很好的判别性(ROC曲线下面积= 0.939)和定标性(Hosmer-Lemeshow χ 2 = 2.268, P = 0.971)。此外,IL-6和UA、高龄和Hb降低可以协同预测患者的不良预后。结论:本研究强调年龄、UA、IL-6和Hb是高海拔AMI-VSR患者死亡率的关键预测因素。经过验证的nomogram为早期风险分层和量身定制的干预措施提供了实用工具,解决了在资源有限的环境中管理这一高危人群的差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Risk factors and predictive model for mortality in acute myocardial infarction with ventricular septal rupture at high altitudes.

Risk factors and predictive model for mortality in acute myocardial infarction with ventricular septal rupture at high altitudes.

Risk factors and predictive model for mortality in acute myocardial infarction with ventricular septal rupture at high altitudes.

Risk factors and predictive model for mortality in acute myocardial infarction with ventricular septal rupture at high altitudes.

Background: Acute myocardial infarction (AMI) combined with ventricular septal perforation (VSR) is still a highly fatal condition in the era of reperfusion therapy. The incidence rate has decreased to 0.2%-0.4% due to the popularization of percutaneous coronary intervention. However, the risk is significantly increased for those who fail to undergo revascularization in time, and the mortality rate remains high. The current core contradiction in clinical practice lies in the selection of surgical timing, and the disparity in medical resources significantly affects prognosis. There is an urgent need to optimize the identification of high-risk populations and individualized treatment strategies.

Aim: To investigate the clinical features, determine the prognostic factors, and develop a predictive model for 30-day mortality in patients with acute myocardial infarction complicated by ventricular septal rupture (AMI-VSR) residing in high-altitude regions.

Methods: This study retrospectively analyzed 48 AMI-VSR patients admitted to a Yunnan hospital from 2017 to 2024, with the establishment of survival (n = 30) and mortality (n = 18) groups based on patients' survival status. Risk factors were identified by univariate and multivariate logistic regression analyses. A nomogram model was developed using R software and validated via receiver operating characteristic (ROC) analysis and calibration curves.

Results: Age, uric acid (UA), interleukin-6 (IL-6), and low hemoglobin (Hb) were independent risk factors for 30-day mortality (odds ratios: 1.147, 1.006, 1.034, and 0.941, respectively; P < 0.05). The nomogram demonstrated excellent discrimination (area under the ROC curve = 0.939) and calibration (Hosmer-Lemeshow χ² = 2.268, P = 0.971). In addition, patients' poor outcomes could be synergistically predicted by IL-6 and UA, advanced age, and reduced Hb.

Conclusion: This study highlights age, UA, IL-6, and Hb as critical predictors of mortality in AMI-VSR patients at high altitudes. The validated nomogram provides a practical tool for early risk stratification and tailored interventions, addressing gaps in managing this high-risk population in resource-limited settings.

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来源期刊
World Journal of Cardiology
World Journal of Cardiology CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
3.30
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5.30%
发文量
54
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