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全身性免疫炎症指数在预测 ST 段抬高型心肌梗死患者住院期间恶性室性心律失常发展中的作用。

Role of Systemic Immune-Inflammatory Index in Predicting the Development of In-Hospital Malignant Ventricular Arrhythmia in Patients With ST-Elevated Myocardial Infarction.

机构信息

Department of Cardiology, Erzurum Region Training and Research Hospital, Erzurum, Turkey.

Faculty of Medicine, Department of Cardiology, Afyonkarahisar Health Sciences University, Afyon, Türkiye.

出版信息

Angiology. 2023 Oct;74(9):881-888. doi: 10.1177/00033197221121435. Epub 2022 Aug 17.

Abstract

Many complications can be observed after ST-elevation myocardial infarction (STEMI). The systemic immune-inflammatory index (SII) is a sensitive indicator of the inflammatory state, and this parameter may also be associated with cardiovascular diseases. In this study, we investigated the relationship between malignant ventricular arrhythmias (MVA) development and SII in STEMI patients. A total of 1708 STEMI patients were included in the study. Propensity score matching (PSM) analysis was performed. Patients were divided into 2 groups according to the development of MVA, and predictors of MVA development were investigated. After the PSM analysis, the mean age of 158 patients was 61.6 years, and 68.4% were male. In the univariate analysis, neutrophil count, SII, C-reactive protein (CRP), albumin, and CRP/albumin ratio (CAR) were associated with the development of MVA; while in the regression analysis, CAR and SII was found to be independent predictors of the development of MVA. In this study, we demonstrated that SII is a better independent predictor than other inflammatory parameters for predicting the development of MVA. This index may be useful in clinical use.

摘要

许多并发症可在 ST 段抬高型心肌梗死(STEMI)后观察到。全身免疫炎症指数(SII)是炎症状态的敏感指标,该参数也可能与心血管疾病相关。在本研究中,我们研究了 SII 与 STEMI 患者恶性室性心律失常(MVA)发展之间的关系。共纳入 1708 例 STEMI 患者。进行倾向评分匹配(PSM)分析。根据 MVA 的发展将患者分为 2 组,并研究 MVA 发展的预测因素。PSM 分析后,158 例患者的平均年龄为 61.6 岁,68.4%为男性。在单因素分析中,中性粒细胞计数、SII、C 反应蛋白(CRP)、白蛋白和 CRP/白蛋白比值(CAR)与 MVA 的发生相关;而在回归分析中,CAR 和 SII 被发现是 MVA 发生的独立预测因素。在本研究中,我们证明 SII 是预测 MVA 发生的更好的独立预测因素,优于其他炎症参数。该指数在临床应用中可能有用。

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