房颤和围手术期炎症(fibrammed研究):术前白蛋白调节血小板-白细胞指数在OPCABG中的预测作用的回顾性分析。

Rohan Magoon, Iti Shri, Ramesh C Kashav, Souvik Dey, Jasvinder K Kohli, Vijay Grover, Vijay Gupta
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引用次数: 0

摘要

目的:新发心房颤动(NOAF)是一种重要的术后并发症,与炎症有关。在有关低白蛋白血症预后作用的令人鼓舞的文献的激励下,白细胞指数[LIs:中性粒细胞与淋巴细胞比值(NLR),单核细胞与淋巴细胞比值(MLR)],全身炎症反应指数(SIRI=NLR×monocyte)和血小板-白细胞指数[PLIs:血小板与淋巴细胞比率(PLR)]、全身免疫炎症指数(SII=NLR×platelet)、全身炎症综合指数(AISI=NLR×platelet×monocyte),我们试图探讨术前白蛋白调整指数(aa-LIs和aa-PLIs)在非体外循环冠状动脉旁路移植术(OPCABG)中的noaf预测价值。方法:在899例患者中,151例患者(16.79%)的主要结局为NOAF,进一步回顾性分析其预测因素,而不是899例择期OPCABG患者的围手术期数据。研究对象分为非NOAF组和NOAF组(定义为术后1周新发房性心律失常,RR间期不规则,P波不清)。结果:151例(16.79%)发生NOAF。单因素分析:年龄、吸烟状况、欧洲心脏手术风险评估系统(EuroSCORE) II、全体性高血压、糖尿病、既往充血性心力衰竭(CHF)、较高的术前NLR、PLR、SII和白蛋白是NOAF的重要预测因素。虽然年龄、CHF和EuroSCORE II在多变量分析中仍具有预测意义,但LI-PLIs和白蛋白并不是独立的NOAF预测因子。值得注意的是,aa-NLR、aa-PLR和aa-SII在回归分析中通过计算模型估计值独立预测NOAF (Odds ratio;95%置信区间分别为31.05、15.75 ~ 70.61、1.04、1.02 ~ 1.05、1.12、1.10 ~ 1.14,P < 0.001)。aa-NLR≥1.32、aa-PLR≥52.64、aa-SII≥344.38预测NOAF的AUC分别为0.66、63.6%、73.3%、0.63、66.2%、59.0%、0.65、58.3%、78.2%。术前aa-NLR、aa-PLR、aa-SII与CHA2DS2-VASc评分也呈正相关(R分别为0.40、0.45、0.42;P < 0.001)。结论:aa-NLR、aa-PLR和aa-SII的独立NOAF预测价值重申了OPCABG术后心律失常并发症的炎症关系。
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Atrial Fibrillation and Perioperative Inflammation (FIBRILLAMMED Study): A Retrospective Analysis of the Predictive Role of Preoperative Albumin-Adjusted Platelet-Leukocytic Indices in OPCABG.

Objective: New-onset atrial fibrillation (NOAF), an important postoperative complication, has pertinent inflammatory links. Motivated by the encouraging literature on the prognostic role of hypoalbuminemia, leukocytic indices [LIs: neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR)], systemic inflammation response index (SIRI=NLR×monocyte) and platelet-leukocytic indices [PLIs: platelet-to-lymphocyte ratio (PLR)], systemic immune inflammation index (SII=NLR×platelet), aggregate index of systemic inflammation (AISI=NLR×platelet×monocyte), we sought to investigate the NOAF-predictive value of preoperative albumin-adjusted indices (aa-LIs and aa-PLIs) in an off-pump coronary artery bypass grafting (OPCABG) setting.

Methods: Of 899 patients, 151 patients (16.79%) developed the primary outcome i.e. NOAF that was analyzed further retrospectively for its predictors instead of the highlighted text perioperative data of 899 patients undergoing elective OPCABG, were retrospectively analyzed. The study participants were categorized into non-NOAF and NOAF groups (defined as new-onset atrial arrhythmia with irregular RR interval with indistinct P wave in the first week postoperatively).

Results: One hundred and fifty-one patients (16.79%) developed NOAF. On univariate analysis: age, smoker status, The European System for Cardiac Operative Risk Evaluation (EuroSCORE) II, systemic hypertension, diabetes mellitus, prior congestive heart failure (CHF), and a higher preoperative NLR, PLR, SII, and albumin were significant predictors of NOAF. While age, CHF, and EuroSCORE II retained predictive significance in multivariate analysis, LI-PLIs and albumin did not emerge as independent NOAF predictors. Notably, aa-NLR, aa-PLR, and aa-SII independently predicted NOAF on the computation of model-estimates in the regression analysis (Odds ratio; 95% confidence interval: 31.05;15.75-70.61, 1.04;1.02-1.05, 1.12;1.10-1.14, respectively, P < 0.001). aa-NLR ≥1.32, aa-PLR ≥52.64, and aa-SII ≥344.38 predicted NOAF with the respective AUC;sensitivity;specificity of 0.66;63.6%;73.3%, 0.63;66.2%;59.0%, and 0.65;58.3%;78.2%. Preoperative aa-NLR, aa-PLR and aa-SII also positively correlated with CHA2DS2-VASc score (R=0.40, 0.45 and 0.42; P < 0.001).

Conclusion: The independent NOAF predictive value of aa-NLR, aa-PLR, and aa-SII reiterates the inflammatory relationship of the arrhythmic complication following OPCABG.

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