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用于预测心脏手术术后房颤的炎症生物标志物。

Inflammatory biomarkers for predicting postoperative atrial fibrillation in cardiac surgery.

作者信息

Staicu Raluca-Elisabeta, Cozlac Alina-Ramona, Sintean Marius Emil, Negru Alina Gabriela, Gorun Florin, Ciurescu Sebastian, Vernic Corina, Lascu Ana, Deutsch Petru, Horhat Florin, Rosca Elena Cecilia

机构信息

Doctoral School Medicine-Pharmacy, Victor Babes University of Medicine and Pharmacy, Timisoara, Romania.

Clinic of Anesthesia and Intensive Care, Institute for Cardiovascular Diseases of Timisoara, Timisoara, Romania.

出版信息

J Med Life. 2025 May;18(5):494-508. doi: 10.25122/jml-2025-0085.

Abstract

Postoperative atrial fibrillation (POAF) is a frequent complication of cardiac surgery associated with adverse outcomes. Systemic inflammation is implicated in POAF pathogenesis, suggesting inflammatory biomarkers may have predictive value. This study investigated the predictive capacity of readily accessible inflammatory markers for POAF during the early postoperative period in the cardiac intensive care unit, particularly within the 48-72-hour window when POAF most commonly occurs. In this prospective, single-center study, we enrolled 70 patients undergoing elective cardiac surgery with cardiopulmonary bypass. We measured preoperative and postoperative (24h, 48h) levels of neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), systemic inflammatory response index (SIRI), C-reactive protein (CRP), interleukin-6 (IL-6), and interleukin-17A (IL-17A). POAF was systematically monitored. We assessed the predictive value of these markers using ROC curve analysis and logistic regression, adjusting for clinical risk factors. The coronary cohort showed that the NLR at both 24 hours and 48 hours were the most discriminative markers for predicting POAF, with PCR at 48 hours achieving a moderate AUC of 0.66. In multivariate regression models, PCR at 48 hours ( = 0.009) and age ( = 0.046) emerged as significant predictors, while NLR and CPB duration were moderately correlated with the occurrence of POAF. In contrast, within the valvular patient subgroup, the NLR again exhibited promising predictive value, along with increased markers of tissue injury such as CK, LDH, and creatinine. Readily accessible postoperative inflammatory markers, particularly NLR at 24 hours and CRP at 48 hours, demonstrated moderate predictive value for POAF in patients undergoing elective cardiac surgery. These markers, especially NLR and CRP, may potentially contribute to improved POAF risk stratification in clinical practice when combined with clinical risk factors. Furthermore, our analysis also indicates that preoperative IL-17A levels may influence the occurrence of POAF. Therefore, alongside CRP and NLR, preoperative IL-17A can be considered a potentially significant marker for atrial fibrillation following cardiac surgery. However, these findings are preliminary and require validation in larger, multi-center studies to confirm their clinical utility and inform preventative strategies.

摘要

术后心房颤动(POAF)是心脏手术常见的并发症,与不良预后相关。全身炎症与POAF的发病机制有关,提示炎症生物标志物可能具有预测价值。本研究调查了在心脏重症监护病房术后早期,尤其是在POAF最常发生的48 - 72小时窗口期内,易于获取的炎症标志物对POAF的预测能力。在这项前瞻性单中心研究中,我们纳入了70例行择期心脏手术并使用体外循环的患者。我们测量了术前及术后(24小时、48小时)的中性粒细胞与淋巴细胞比值(NLR)、全身免疫炎症指数(SII)、全身炎症反应指数(SIRI)、C反应蛋白(CRP)、白细胞介素-6(IL-6)和白细胞介素-17A(IL-17A)水平。对POAF进行系统监测。我们使用ROC曲线分析和逻辑回归评估这些标志物的预测价值,并对临床危险因素进行校正。冠状动脉疾病队列显示,24小时和48小时的NLR是预测POAF最具鉴别力的标志物,48小时的CRP曲线下面积(AUC)为0.66,具有中等预测能力。在多变量回归模型中,48小时的CRP(P = 0.009)和年龄(P = 0.046)是显著的预测因素,而NLR和体外循环时间与POAF的发生呈中度相关。相比之下,在瓣膜病患者亚组中,NLR再次显示出有前景的预测价值,同时组织损伤标志物如肌酸激酶(CK)、乳酸脱氢酶(LDH)和肌酐水平升高。易于获取的术后炎症标志物,尤其是24小时的NLR和48小时的CRP,对择期心脏手术患者的POAF具有中等预测价值。这些标志物,尤其是NLR和CRP,在与临床危险因素结合时,可能有助于在临床实践中改善POAF风险分层。此外,我们的分析还表明术前IL-17A水平可能影响POAF的发生。因此,除了CRP和NLR外,术前IL-17A可被视为心脏手术后心房颤动的潜在重要标志物。然而,这些发现是初步的,需要在更大规模的多中心研究中进行验证,以确认其临床实用性并为预防策略提供依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2fd1/12207702/43ac5ebe508e/JMedLife-18-494-g001.jpg

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