Liu Xiao-Wei, Ma Tao, Li Lu-Lu, Qu Bo, Liu Zhi
Department of Emergency, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, P.R. China.
Department of Biostatistics, School of Public Health, China Medical University, Shenyang, Liaoning 110001, P.R. China.
Exp Ther Med. 2017 Jul;14(1):79-86. doi: 10.3892/etm.2017.4463. Epub 2017 May 17.
The present study investigated the predictive values of urine paraquat (PQ) concentration, dose of poison, arterial blood lactate and Acute Physiology and Chronic Health Evaluation (APACHE) II score in the prognosis of patients with acute PQ poisoning. A total of 194 patients with acute PQ poisoning, hospitalized between April 2012 and January 2014 at the First Affiliated Hospital of P.R. China Medical University (Shenyang, China), were selected and divided into survival and mortality groups. Logistic regression analysis, receiver operator characteristic (ROC) curve analysis and Kaplan-Meier curve were applied to evaluate the values of urine paraquat (PQ) concentration, dose of poison, arterial blood lactate and (APACHE) II score for predicting the prognosis of patients with acute PQ poisoning. Initial urine PQ concentration (C0), dose of poison, arterial blood lactate and APACHE II score of patients in the mortality group were significantly higher compared with the survival group (all P<0.05). Logistic regression analysis revealed that C0, dose of poison and arterial blood lactate correlated with mortality risk of acute PQ poisoning (all P<0.05). ROC curve analysis suggested that the areas under the curve (AUC) values of C0, dose of poison, arterial blood lactate and APACHE II score in predicting the mortality of patients within 28 days were 0.921, 0.887, 0.808 and 0.648, respectively. The AUC of C0 for predicting early and delayed mortality were 0.890 and 0.764, respectively. The AUC values of urine paraquat concentration the day after poisoning (Csec) and the rebound rate of urine paraquat concentration in predicting the mortality of patients within 28 days were 0.919 and 0.805, respectively. The 28-day survival rate of patients with C0 ≤32.2 µg/ml (42/71; 59.2%) was significantly higher when compared with patients with C0 >32.2 µg/ml (38/123; 30.9%). These results suggest that the initial urine PQ concentration may be the optimal index for predicting the prognosis of patients with acute PQ poisoning. Additionally, dose of poison, arterial blood lactate, Csec and rebound rate also have referential significance.
本研究探讨了尿百草枯(PQ)浓度、中毒剂量、动脉血乳酸及急性生理与慢性健康状况评分系统(APACHE)Ⅱ评分对急性PQ中毒患者预后的预测价值。选取2012年4月至2014年1月在中国医科大学附属第一医院(中国沈阳)住院的194例急性PQ中毒患者,分为存活组和死亡组。应用Logistic回归分析、受试者工作特征(ROC)曲线分析及Kaplan-Meier曲线评估尿PQ浓度、中毒剂量、动脉血乳酸及APACHEⅡ评分对急性PQ中毒患者预后的预测价值。死亡组患者的初始尿PQ浓度(C0)、中毒剂量、动脉血乳酸及APACHEⅡ评分均显著高于存活组(均P<0.05)。Logistic回归分析显示,C0、中毒剂量及动脉血乳酸与急性PQ中毒的死亡风险相关(均P<0.05)。ROC曲线分析表明,C0、中毒剂量、动脉血乳酸及APACHEⅡ评分预测患者28天内死亡的曲线下面积(AUC)值分别为0.921、0.887、0.808和0.648。C0预测早期和延迟死亡的AUC分别为0.890和0.764。中毒后第1天尿百草枯浓度(Csec)及尿百草枯浓度反弹率预测患者28天内死亡的AUC值分别为0.919和0.805。C0≤32.2μg/ml的患者28天生存率(42/71;59.2%)显著高于C0>32.2μg/ml的患者(38/123;30.9%)。这些结果表明,初始尿PQ浓度可能是预测急性PQ中毒患者预后的最佳指标。此外,中毒剂量、动脉血乳酸、Csec及反弹率也具有参考意义。