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使用全身免疫炎症指数预测急性冠脉综合征背景下新发心房颤动。

The use of systemic immune-inflammation index to predict new onset atrial fibrillation in the context of acute coronary syndrome.

机构信息

University of Health Sciences Trabzon Ahi Evren Thoracic and Cardiovascular Surgery Training and Research Hospital.

Bingol State Hospital.

出版信息

Kardiologiia. 2022 Aug 30;62(8):59-64. doi: 10.18087/cardio.2022.8.n1986.

DOI:10.18087/cardio.2022.8.n1986
PMID:36066989
Abstract

Aim    The objectives of this study were to determine the relationship between the systemic immune-inflammation index (SII) and new onset atrial fibrillation (NOAF) in patients with acute coronary syndrome (ACS), and to assess the use of this relation, if any, to predict NOAF in the context of ACSMaterial and Methods    A total of 622 patients diagnosed with ACS and followed up between September 2019 and September 2021 were included in this study. 35 (5.6 %) of these patients, suffering from NOAF, were designated as the patient group, and the remaining 577 (94.4 %) patients were designated as the control group. SII was calculated with the formula [ (platelet count x neutrophil count) / lymphocyte count] in all patients.Results    SII was significantly increased in the NOAF group [1641 (778-4506) vs. 660 (54-2835); p<0.001. The multivariable logistic regression analysis revealed that SII [OR: 1.002, 95 %CI: 1.001-1.002, p<0.001] is one of the independent predictors for NOAF, in addition to age (p=0.003) and left atrium size (p=0.005).Conclusion    The SII index is an independent predictor of NOAF in ACS patients. This index can be used as an easily accessible value in the clinic. Assessment of risk factors for NOAF may permit early treatment and close follow-up of patients with poor prognosis who may develop AF.

摘要

目的

本研究旨在探讨急性冠状动脉综合征(ACS)患者的全身免疫炎症指数(SII)与新发心房颤动(NOAF)的关系,并评估该关系在 ACS 背景下预测 NOAF 的应用价值。

材料和方法

本研究共纳入 2019 年 9 月至 2021 年 9 月期间诊断为 ACS 并接受随访的 622 例患者。其中 35 例(5.6%)发生 NOAF 的患者被指定为患者组,其余 577 例(94.4%)患者被指定为对照组。所有患者均采用公式[(血小板计数×中性粒细胞计数)/淋巴细胞计数]计算 SII。

结果

NOAF 组 SII 显著升高[1641(778-4506)比 660(54-2835);p<0.001]。多变量 logistic 回归分析显示,SII[OR:1.002,95%CI:1.001-1.002,p<0.001]是除年龄(p=0.003)和左心房大小(p=0.005)以外,NOAF 的独立预测因素之一。

结论

SII 指数是 ACS 患者发生 NOAF 的独立预测因素。该指数可作为临床中易于获取的指标。评估 NOAF 的危险因素可能有助于对发生 AF 风险较高的预后不良患者进行早期治疗和密切随访。

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