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全免疫炎症值:预测非体外循环冠状动脉搭桥术年轻患者术后房颤的新型生物标志物。

Pan-Immune-Inflammation Value: A Novel Biomarker for Predicting Postoperative Atrial Fibrillation in Young Patients Undergoing Off-Pump CABG.

作者信息

Atasoy Mustafa Selcuk, Guven Hakan

机构信息

Department of Cardiovascular Surgery, Bursa City Hospital, Bursa, Turkey.

Department of Cardiovascular Surgery, Bursa Medical Park Hospital, Bursa, Turkey.

出版信息

J Cardiothorac Vasc Anesth. 2025 Jun;39(6):1464-1471. doi: 10.1053/j.jvca.2025.02.050. Epub 2025 Mar 5.

Abstract

OBJECTIVES

To the best of our knowledge, the possible predictive relationship between pan-immune-inflammation value (PIV) and new-onset atrial fibrillation (AF) following off-pump coronary artery bypass grafting (CABG) has not yet been examined in the literature. Therefore, we aimed to examine whether there was a predictive relationship of PIV with new-onset AF in young patients undergoing off-pump CABG.

DESIGN

A retrospective observational cohort study.

SETTING

Tertiary referral hospital in Turkey.

PARTICIPANTS

A total of 223 young patients (age ≤50 years) undergoing off-pump CABG.

INTERVENTIONS

The patients were categorized into two groups as AF group (n = 31) and non-AF group (n = 192). The groups were compared with regard to preoperative basic clinical features, laboratory parameters, and operative and postoperative data of patients. Following univariate analyses, logistic regression analysis was conducted to identify independent predictors of postoperative new-onset AF, and receiver-operating characteristic curve analyses were conducted to determine the optimum cut-off values of identified independent predictors. PIV measurement was the primary outcome of the study.

MEASUREMENTS AND MAIN RESULTS

No significant differences were found between the groups with regard to preoperative basic clinical features and operative and postoperative data, except for length of hospital stay. There were statistically significant differences between the groups in terms of platelet, neutrophil, lymphocyte, and monocyte counts as well as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio, systemic immune-inflammation index, systemic inflammation response index, and PIV. In logistic regression analysis, PIV and NLR were detected to be significant hematological variables, and thus these indices were considered independent predictors of postoperative new-onset AF (odds ratio 1.001, 95% CI 1.000-1.002 for PIV). Receiver-operating characteristic analysis revealed that for predicting postoperative AF, PIV of 307.9 constituted the optimum cut-off value with 93.5% sensitivity and 71.4% specificity rates.

CONCLUSION

Our study demonstrated for the first time in the literature that the PIV and the NLR significantly and independently predicted new-onset AF following off-pump CABG.

摘要

目的

据我们所知,文献中尚未研究非体外循环冠状动脉搭桥术(CABG)后泛免疫炎症值(PIV)与新发心房颤动(AF)之间可能存在的预测关系。因此,我们旨在研究在接受非体外循环CABG的年轻患者中,PIV与新发AF之间是否存在预测关系。

设计

一项回顾性观察性队列研究。

地点

土耳其的三级转诊医院。

参与者

总共223例年龄≤50岁的接受非体外循环CABG的年轻患者。

干预措施

将患者分为AF组(n = 31)和非AF组(n = 192)。比较两组患者术前的基本临床特征、实验室参数以及手术和术后数据。在单因素分析之后,进行逻辑回归分析以确定术后新发AF的独立预测因素,并进行受试者工作特征曲线分析以确定所确定的独立预测因素的最佳截断值。PIV测量是该研究的主要结果。

测量指标和主要结果

除住院时间外,两组患者术前基本临床特征以及手术和术后数据方面未发现显著差异。两组在血小板、中性粒细胞、淋巴细胞和单核细胞计数以及中性粒细胞与淋巴细胞比率(NLR)、血小板与淋巴细胞比率、全身免疫炎症指数、全身炎症反应指数和PIV方面存在统计学显著差异。在逻辑回归分析中,PIV和NLR被检测为显著的血液学变量,因此这些指标被认为是术后新发AF的独立预测因素(PIV的比值比为1.001,95%置信区间为1.000 - 1.002)。受试者工作特征分析表明,对于预测术后AF,PIV为307.9构成最佳截断值,灵敏度为93.5%,特异度为71.4%。

结论

我们的研究首次在文献中表明,PIV和NLR显著且独立地预测了非体外循环CABG术后的新发AF。

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