国际医药卫生导报 ›› 2023, Vol. 29 ›› Issue (5): 632-637.DOI: 10.3760/cma.j.issn.1007-1245.2023.05.009

• 科研课题专栏 • 上一篇    下一篇

急性百草枯中毒患者预后影响因素分析

李峰1  苏艺伟2  王致3   

  1. 1广州市第十二人民医院药剂科,广州 5106202广州市第十二人民医院职业卫生评价检测中心,广州 5106203广州市第十二人民医院医院办公室,广州 510620

  • 收稿日期:2022-12-05 出版日期:2023-03-01 发布日期:2023-03-31
  • 通讯作者: 王致,Email:zhi_wang@outlook.com
  • 基金资助:

    广东省基础与应用基础研究基金联合基金项目(2021A1515110663);广州市高水平临床重点专科建设项目[穗卫函(20191555号];广州市科学技术局重点研发计划项目(202206010061);广州市医学重点学科建设项目(2021—2023年)

Analysis of prognostic factors in patients with acute paraquat poisoning

Li Feng1, Su Yiwei2, Wang Zhi3   

  1. 1 Pharmacy Department, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China; 2 Occupational Health Evaluation and Testing Center, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China; 3 Hospital Office, Guangzhou Twelfth People's Hospital, Guangzhou 510620, China

  • Received:2022-12-05 Online:2023-03-01 Published:2023-03-31
  • Contact: Wang Zhi, Email: zhi_wang@outlook.com
  • Supported by:

    Joint Fund Project of Guangdong Basic and Applied Basic Research Fund (2021A1515110663); High-level Clinical Key Specialist Construction Project in Guangzhou [Sui Health (2019) No. 1555]; Key Research and Development Programme of Guangzhou Science and Technology Bureau (202206010061); Guangzhou Key Medical Discipline Construction Project (2021-2023)

摘要:

目的 探索简便、高效辨别急性百草枯中毒患者预后的主要影响因素。方法 采用回顾性研究方法,选取20101月至201912月在广州市第十二人民医院住院治疗的201例急性百草枯中毒患者为研究对象,依据出院时病情及中毒后60 d的随访结果,分为存活组(78例)和死亡组(123例)。比较两组患者基本信息、诊疗方案、入院时实验室检验指标的差异,采用二分类logistic回归分析筛选出可独立预测中毒结局的主要影响因素,受试者工作特征曲线(ROC)判定主要影响因素辨别急性百草枯中毒患者预后的效能。采用t检验、χ2检验。结果 存活组男33例、女45例,年龄(30.41±14.04)岁;死亡组男61例、女62例,年龄(31.86±14.15)岁。存活组患者百草枯摄入量[(20.95±23.14ml]、出现呕吐症状比例[70.51%55/78)]、白细胞计数(WBC)[(12.39±4.93×109/L]、血红蛋白(Hb)[(136.56±18.04g/L]、凝血酶原时间(PT)[(12.49±3.52s]、谷丙转氨酶(ALT)[(18.30±10.76U/L]、谷草转氨酶(AST)[(23.44±11.85U/L]、血糖[(7.09±2.21mmol/L]、尿素[(4.96±3.48mmol/L]、肌酐[(98.03±79.33μmol/L]、肌酸激酶(CK)[(187.78±178.06U/L]、肌酸激酶同工酶(CKMB)[(18.88±15.50U/L]、乳酸脱氢酶(LDH)[(190.92±60.50U/L]及尿蛋白秩次(60.65)均低于死亡组[(62.07±50.59ml83.74%103/123)、(23.15±12.05×109/L、(142.32±20.64g/L、(13.50±3.13s、(94.04±144.42U/L、(130.94±184.19U/L、(8.43±3.49mmol/L、(9.55±8.17mmol/L、(249.98±196.40μmol/L、(336.36±261.96U/L、(43.91±43.74U/L、(346.01±196.50U/L126.59],差异均有统计学意义(均P<0.05)。存活组患者动脉血二氧化碳分压(PaCO2)[(4.33±0.58kPa]、血碳酸氢根浓度(HCO3-)[(21.12±2.36mmol/L]均高于死亡组[(3.81±1.25kPa、(16.85±4.75mmol/L],差异均有统计学意义(均P<0.05)。二分类logistic回归分析显示,百草枯摄入量(OR=1.022P<0.05)、HCO3-OR=0.763P<0.05)、ASTOR=1.059P<0.05)、血糖(OR=1.235P<0.05)、尿蛋白(OR=1.878P<0.05)是影响急性百草枯中毒患者预后的关键因素。进一步ROC分析显示,5个指标在预测急性百草枯中毒患者预后中均具有较高效能,其中预测价值最高的指标为AST[曲线下面积(AUC)为0.87,最佳诊断值为35.30 U/L],灵敏度最高的指标为尿蛋白(灵敏度0.94),特异度最高的指标为HCO3-AST(特异度均为0.96);阳性预测值最高的指标为HCO3-AST(阳性预测值均为0.96),阴性预测值最高的指标为尿蛋白(阴性预测值为0.86)。结论 百草枯摄入量、HCO3-AST、血糖、尿蛋白是预测急性百草枯中毒结局的主要影响因素,具有较高的预测效能和灵敏度、特异度,可用于独立辨别急性百草枯中毒患者预后。

关键词:

百草枯, 急性中毒, 预后, 影响因素

Abstract:

Objective To explore the main factors affecting the prognosis in patients with acute paraquat poisoning simply and efficiently. Methods Using the method of retrospective study, 201 patients with acute paraquat poisoning who were hospitalized in Guangzhou Twelfth People's Hospital from January 2010 to December 2019 were selected as the research objects, and according to the conditions at discharge and the follow-up results 60 days after poisoning, the subjects were divided into a survival group (78 cases) and a death group (123 cases). The differences of basic information, diagnosis and treatment plans, and laboratory test indicators at admission between the two groups were compared. The binary logistic regression analysis was used to screen out the main influencing factors that could independently predict the outcome of poisoning. The receiver operating characteristic curve (ROC) was used to determine the effectiveness of the main influencing factors in identifying the prognosis in patients with acute paraquat poisoning. t test and χ2 test were used. Results In the survival group, there were 33 males and 45 females, aged (30.41±14.04) years. In the death group, there were 61 males and 62 females, aged (31.86±14.15) years. In the survival group, the paraquat intake [(20.95±23.14) ml], proportion of vomiting symptom [70.51% (55/78)], white blood cell count (WBC) [(12.39±4.93) ×109/L], hemoglobin (Hb) [(136.56±18.04) g/L], prothrombin time (PT) [(12.49±3.52) s], alanine transaminase (ALT) [(18.30±10.76) U/L], aspartate aminotransferase (AST) [(23.44±11.85) U/L], blood glucose [(7.09±2.21) mmol/L], urea nitrogen [(4.96±3.48) mmol/L], creatinine [(98.03±79.33) μmol/L], creatine kinase (CK) [(187.78±178.06) U/L], creatine kinase isoenzyme (CKMB) [(18.88±15.50) U/L], lactate dehydrogenase (LDH) [(190.92±60.50) U/L], and urine protein average ranks (60.65) were lower than those in the death group [(62.07±50.59) ml, 83.74% (103/123), (23.15±12.05) ×109/L, (142.32±20.64) g/L, (13.50±3.13) s, (94.04±144.42) U/L, (130.94±184.19) U/L, (8.43±3.49) mmol/L, (9.55±8.17) mmol/L, (249.98±196.40) μmol/L, (336.36±261.96) U/L, (43.91±43.74) U/L, (346.01±196.50) U/L, and 126.59], with statistically significant differences (all P<0.05). The blood partial pressure of carbon dioxide (PaCO2) [(4.33±0.58) kPa] and blood bicarbonate (HCO3-) concentration [(21.12±2.36) mmol/L] in the survival group were higher than those in the death group [(3.81±1.25) kPa and (16.85±4.75) mmol/L], with statistically significant differences (both P<0.05). Binary logistic regression analysis showed that paraquat intake (OR=1.022, P<0.05), HCO3- (OR=0.763, P<0.05), AST (OR=1.059, P<0.05), blood glucose (OR=1.235, P<0.05), and urinary protein (OR=1.878, P<0.05) were key indicators of prognosis in patients with acute paraquat poisoning. Further ROC analysis showed that the five indexes had high efficacies in predicting the prognosis in patients with acute paraquat poisoning, among which AST was the index with the highest predictive value [the area under the curve (AUC) was 0.87, and the optimal diagnostic value was 35.30 U/L], urinary protein was the index with the highest sensitivity (0.94), HCO3- and AST were the indexes with the highest specificity (both 0.96), HCO3- and AST were the indexes with the highest positive predictive value (both 0.96), and urinary protein was the index with the highest negative predictive value (0.86). Conclusions Paraquat intake, HCO3-, AST, blood glucose, and urinary protein are the main influencing factors for predicting the outcome of acute paraquat poisoning. They have high predictive efficacy, sensitivity, and specificity, and can be used to independently identify the prognosis in patients with acute paraquat poisoning.

Key words:

Paraquat, Acute poisoning, Prognosis, Influencing factors