Background. Critical illness in the intensive care unit (ICU) has been a global health priority. Systemic nutritional status has turned out to be related to the prognosis of critically ill patients. The albumin-globulin ratio (AGR) has been reported to be a novel prognostic factor of many diseases. This study is aimed at investigating whether the AGR could predict the mortality risk in critically ill patients. Methods. We enrolled 582 adult patients admitted to the respiratory intensive care unit (RICU). We collected the clinical and laboratory data. X-tile software was used to determine the optimal cut-off values for the AGR. Patients were divided into three groups according to the AGR (low AGR group with , medium AGR group with AGR ranging from 0.8 to 1.1, and high AGR group with ). Kaplan-Meier analysis was used for survival analysis. A Cox proportional hazard model was applied to the univariate and multivariate analyses for the potential predictors associated with survival. Results. Our present study showed that the AGR was related to the 28-day survival of critically ill patients in the RICU. The rate of pneumonia in the low AGR group was significantly higher than that in the other groups. Patients with a lower AGR present an increased risk of 28-day mortality compared to patients with a higher AGR. Cox regression analysis showed that the AGR might be an independent predictor of prognosis to 28-day survival in critically ill patients in the RICU. Medium and high AGR values remained independently associated with better 28-day survival than low AGR values (HR: 0.484 (0.263-0.892) (); HR: 0.332 (0.166-0.665) ()). Conclusion. The AGR might be an independent predictor of prognosis in critically ill patients.

中文翻译：

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白蛋白-球蛋白比率是危重病患者 28 天死亡率的独立决定因素

背景。重症监护病房 (ICU) 中的危重病一直是全球卫生优先事项。全身营养状况已证明与危重患者的预后有关。据报道，白蛋白-球蛋白比值 (AGR) 是许多疾病的新预后因素。本研究旨在调查 AGR 是否可以预测重症患者的死亡风险。方法。我们招募了 582 名入住呼吸重症监护病房 (RICU) 的成年患者。我们收集了临床和实验室数据。X-tile 软件用于确定 AGR 的最佳截止值。根据AGR将患者分为三组（低AGR组与，中 AGR 组，AGR 范围为 0.8 至 1.1，高 AGR 组）。Kaplan-Meier 分析用于生存分析。将 Cox 比例风险模型应用于与生存相关的潜在预测因子的单变量和多变量分析。结果. 我们目前的研究表明，AGR 与 RICU 重症患者的 28 天生存率有关。低AGR组肺炎发生率明显高于其他组。与 AGR 较高的患者相比，AGR 较低的患者 28 天死亡风险增加。Cox 回归分析表明，AGR 可能是 RICU 重症患者 28 天生存预后的独立预测因子。与低 AGR 值相比，中等和高 AGR 值与更好的 28 天生存率独立相关（HR：0.484 (0.263-0.892)）); 心率：0.332 (0.166-0.665) (））。结论。AGR 可能是危重患者预后的独立预测因子。