| Objective: To analyze the prognosis values of factors of patients with acute paraquat poisoning,and evaluate early conditions and prognosis of paraquat poisoning patients,and to provide basis for clinical treatment plan adjustment,reducing the mortality rate.Methods:Between December 2011 to December 2014,272 patients with paraquat poisoning were selected from emergency medicine of Second Hospital of Hebei Medical University,who up to the inclusion criteria.In 1 hour,we registered the gender,age,taking poison quantity,drinking ornot,test and registered poison-concentration,WBC,CKMB,LDH,ALT,AST,potassium,AG,CO2 CP,Cr,BUN,GLU,AMY,ALB,Na,Ca,PT,APTT,etc.Accord-ing to the prognosis in 30 days,they were divided into two groups,survival group and death group.Using SPSS13.0 software for statistical analysis,statistical process were carried out in two steps.First of all,the single factor was performed: enumbration data using the number of cases(percentage),the result or row by list with chi-square test;Measurement data of normal distribution of were expressed by mean± standard deviation,and performed by Student-t test;Non-normal distribution measurement data were expressed with median(inter quartile spacing),tested by the Mann-Whitney U test.Secondly,multiple factors analysis was used to evaluate the prognosis of patients,with outcomes as the dependent variable and related indicators as independent variables.Relation-ship between these indexes and the prognosis of patients was tested by binary logistic regression analysis step by step back(Backward: LR).The result was different siginificantly if P < 0.05.Results:1 General situation: There are 272 patients(135male and 137 female)in the research.The Age ranges from 14 to 89 years old: 13 cases of age 14 to 20,111 cases of aged 21 to 30,56 cases of aged 31 to 40,35 cases of aged 41 to 50,37 cases of aged 51 to 60,9 cases > 60 years old,only 1 case survived.District distribution: 78 cases were in Shi-jia-zhuang,accounting for 28.7%;70 cases in Bao-ding accounted for 25.7%;40 cases in Heng-shui,(14.7%),42 cases in Xing-tai(15.4%),18 cases in Cang-zhou(6.6%),16 cases in Han-dan(5.9%),Langfang、Cheng-de、provincial(1 case in shandong,2cases in shanxi,1 case in henan)have 3 cases,1 case and4 cases,accounted for 1.1%、1.1% and 0.4%.2 For patients with paraquat poisoning,there are statistical differences concentration in drink status,taking poison quantity,WBC,CKMB,LDH,ALT,AST,K+,AG,CO2 CP,Cr,BUN,GLU,AMY(P<0.05)between survival group and death group;However,gender,ALB,Na+,Ca2+,PT,APTT,have no statistical difference(P>0.05).3 The Logistic regression analysis indicated that the taking poison quantity,poison concentration,drink status,WBC,CKMB,ALT,K+,Cr,Glu are independent risk factors of early prognosis of acute paraquat poisoning(P<0.05).4 After analyzing the ROC curve,we find that the largest area under the curve is WBC.The intercept point is 14.1,and the sensitivity degree is0.664,the specific degree is 0.804.Conclusions:1 There are statistical differences concentration in drink status,taking poison quantity,poison,WBC,CKMB,LDH,ALT,AST,K+,AG,CO2 CP,Cr,BUN,GLU,AMY in survival group and death group for patients with paraquat poisoning.2 The taking poison quantity,poison concentration,drink or not,WBC,CKMB,ALT,K+,Cr,Glu are independent risk factors of early prognosis of acute paraquat poisoning.3 To judge the prognosis of patients with paraquat poisoning according to the prognostic risk factors,personalized treatment may be helpful to reducing the mortality rate and avoid drug side effects. |