Introduction. In recent years, gamma-glutamyl transpeptidase to platelet ratio (GPR) has been proposed as a new inflammatory marker. We aimed to evaluate the association between GPR and outcomes after cardiac arrest (CA). Methods. A total of 354 consecutive patients with CA were included in this retrospective study. Patients were divided into three groups according to tertiles of GPR (low, ; middle, ; and high, ). To determine the relationship between GPR and prognosis, a logistic regression analysis was performed. The ability of GPR to predict the outcomes was evaluated by receiver operating characteristic (ROC) curve analysis. Two prediction models were established, and the likelihood ratio test (LRT) and the Akaike Information Criterion (AIC) were utilized for model comparison. Results. Among the 354 patients (age 62 [52, 74], 254/354 male) who were finally included in the analysis, those in the high GPR group had poor outcomes. Multivariate logistic regression analysis revealed that GPR was independently associated with the three outcomes, for ICU mortality (, 95% confidence interval (CI): 1.221-2.474, ), hospital mortality (, ), and unfavorable neurologic outcomes (, ). The area under the ROC curve was 0.611 (95% Cl: 0.558-0.662) for ICU mortality, 0.600 (95% CI: 0.547-0.651) for hospital mortality, and 0.602 (95% CI: 0.549-0.653) for unfavorable neurologic outcomes. Further, the LRT analysis showed that compared with the model without GPR, the GPR-combined model had a higher likelihood ratio score and smaller AIC. Conclusion. GPR, as an inflammatory indicator, was independently associated with outcomes after CA. GPR is helpful in estimating the clinical outcomes of patients with CA.

中文翻译：

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γ-谷氨酰转肽酶与血小板比率：一种与心脏骤停后结果相关的新炎症标志物

简介。近年来，γ-谷氨酰转肽酶与血小板比率（GPR）已被提出作为一种新的炎症标志物。我们旨在评估 GPR 与心脏骤停 (CA) 后结果之间的关联。方法。这项回顾性研究共纳入了 354 名连续的 CA 患者。根据 GPR 的三分位数将患者分为三组（低、; 中间，; 和高，）。为了确定 GPR 与预后之间的关系，进行了逻辑回归分析。GPR 预测结果的能力通过接受者操作特征 (ROC) 曲线分析进行评估。建立了两个预测模型，利用似然比检验（LRT）和赤池信息准则（AIC）进行模型比较。结果。在最终纳入分析的 354 名患者（年龄 62 [52, 74]，254/354 男性）中，高 GPR 组的患者预后较差。多变量逻辑回归分析显示，GPR 与 ICU 死亡率的三个结局独立相关。, 95% 置信区间 (CI): 1.221-2.474,),住院死亡率 (, ）和不利的神经系统结果（, ）。ICU死亡率的ROC曲线下面积为0.611（95% CI：0.558-0.662），住院死亡率为0.600（95% CI：0.547-0.651），不良神经系统结局为0.602（95% CI：0.549-0.653） . 此外，LRT 分析表明，与没有 GPR 的模型相比，GPR 组合模型具有更高的似然比得分和更小的 AIC。结论。GPR 作为一种炎症指标，与 CA 后的结果独立相关。GPR 有助于估计 CA 患者的临床结果。