Study on the anaphylactic shock induced by hemocoagulase for injection based on logistic analysis

In the present study, we aimed to explore the influencing factors of anaphylactic shock caused by hemocoagulase for injection and to provide a scientific basis for clinical safe medication. The cases reports on the adverse reactions induced by hemocoagulase for injection were collected in Chinese and foreign literatures. The clinical characteristics and influencing factors of anaphylactic shock induced by hemocoagulase for injection were evaluated by logistic regression analysis. In this study, 87 articles including 108 cases(68 cases of anaphylactic shock) were collected. Univariate logistic regression indicated that allergic constitution, daily dose, combined anesthesia, first drug delivery, post-dose time and course of treatment were positively associated with the incidence of anaphylactic shock caused by hemocoagulase for injection(P<0.05). The six above-mentioned factors were included in the multivariate logistic stepwise regression analysis to exclude the effects of confounding factors, and the results suggested that allergic constitution(P = 0.048, OR = 8.242), combined anesthesia(P = 0.024, OR = 22.675) and post-dose time(P = 0.006, OR = 20.255) were associated with the incidence of anaphylactic shock caused by hemocoagulase for injection. The clinicians should pay much more attention to risk factors that may cause anaphylactic shock, such as allergic constitution, combined anesthesia and post-dose time. The clinical pharmacists should strengthen pharmaceutical monitoring and improve the safety of medication.

Logistics Regression Analysis between TCM Constitution Types of Patients with Hypertension,Insomnia and ABPM,PSQI

[Objectives]The research aimed to explore the distribution characteristics of TCM constitution types of patients with hypertension and insomnia,and study the clinical characteristics of patients with different constitutions,in order to provide new ideas for the treatment of patients with hypertension and insomnia.[Methods]Cross sectional observation method was used,and 420 patients with hypertension and insomnia were selected.Required information was collected,and the constitution type of traditional Chinese medicine was determined,and relevant data were recorded.SPSS and Logistic regression analysis method were used to explore the correlation between the distribution of TCM constitution types and gender,age,24 h-SBP,24 h-DBP,24 h-BPV,PSQI score,etc.[Results]Among 420 patients,the proportion of gentleness constitution was the most,and others in turn were Qi deficiency constitution>Yang deficiency constitution>phlegm dampness constitution>Qi stagnation constitution>Yin deficiency constitution>blood stasis constitution>damp heat constitution>special constitution.Among male patients,the proportion of gentleness constitution was the most.Among female patients,the proportion of Qi deficiency constitution was the most.In each constitution,the proportion of men and women was different,and the difference in gentleness constitution,Qi deficiency constitution and Yin deficiency constitution had statistical significance(P<0.05).The proportion of gentleness constitution for young and middle-aged patients was the most,while elderly patients with Qi deficiency constitution was the most.There was difference in the distribution of TCM constitution in different age groups,and the difference had statistical significance(P<0.05).Compared with the patients with gentleness constitution,the patients with Qi deficiency constitution,Yang deficiency constitution,Yin deficiency constitution,damp heat constitution,blood stasis constitution and Qi stagnation constitution had different differences in terms of age,24 h-SBP,24 h-DBP,24 h-BPV and PSQI score,and there was statistical significance(P<0.05).Except damp heat constitution,blood stasis constitution and special constitution,other constitutions had certain correlation with age,24 h-SBP,24 h-DBP,24 h-BPV and PSQI score.[Conclusions]TCM constitution types of patients with hypertension and insomnia were dominant by gentleness constitution,Qi deficiency constitution and Yang deficiency constitution.The distribution of TCM constitution in different gender and age groups was different,and different TCM constitution was related to ABPM and PSQI.

Logistic Regression Analysis of Influencing Factors on Serum ALT and HCV RNA Changes in Patients with Chronic Hepatitis C

Objective This study was undertaken to investigate the influencing factors on serum ALT level and hepatitis C virus(HCV)RNA titer in chronic hepatitis C(CHC)patients.Methods All patients enrolled into this study were anti-HCV positive.Retrospective tracing method was applied to detect serum ALT level and HCV RNA titer and to collect general information of the patients such as genders,age groups,interferon medication history,infection pathways,height and weight.Then the multi-factor analysis was adopted with the application of binominal logistic regression mode.Results The abnormal rate of ALT level was positively correlated to HCV RNA and gender while negatively correlated to interferon medication history and age group,with Wald value of the 4 factors as 39.604,11.823,18.991 and 7.389,respectively.The positive rate of HCV RNA was negatively correlated to interferon medication history and gender while positively correlated to ALT level,with corresponding Wald value of the 3 factors as81.394,7.618 and 27.562,respectively.Conclusions The normal ALT level in HCV infected patients was associated with viral load,age,gender and interferon medication history,while the normal rate of HCV RNA titer was closely associated with gender,interferon medication history and ALT level.

The Establishment of Mathematical Models for the Composition Analysis and Identification of Ancient Glass Products

Glass is the precious material evidence of the trade of the early Silk Road. The ancient glass was easily affected by the environmental impact and weathering, and the change of composition ratios affected the correct judgment of its category. In this paper, mathematical models and methods such as Chi-square test, weighted average method, principal component analysis, cluster analysis, binary classification model and grey correlation analysis were used comprehensively to analyze the data of sample glass products combined with their categories. The results showed that the weathered high-potassium glass could be divided into 12, 9, 10 and 27, 7, 22 and so on.

Manufacturing task data chain-driven production logistics trajectory analysis and optimization decision making method

Production logistics(PL)is considered as a critical factor that affects the efficiency and cost of production operations in discrete manufacturing systems.To effectively utilize manufacturing big data to improve PL efficiency and promote job shop floor economic benefits,this study proposes a PL trajectory analysis and optimization decision making method driven by a manufacturing task data chain(MTDC).First,the manufacturing task chain(MTC)is defined to characterize the discrete production process of a product.To handle manufacturing big data,the MTC data paradigm is designed,and the MTDC is established.Then,the logistics trajectory model is presented,where the various types of logistics trajectories are extracted using the MTC as the search engine for the MTDC.Based on this,a logistics efficiency evaluation indicator system is proposed to support the optimization decision making for the PL.Finally,a case study is applied to verify the proposed method,and the method determines the PL optimization decisions for PL efficiency without changing the layout and workshop equipment,which can assist managers in implementing the optimization decisions.

Correction:Establishment of a prediction model for prehospital return of spontaneous circulation in out-of-hospital patients with cardiac arrest

This is an erratum to an already published paper named“Establishment of a prediction model for prehospital return of spontaneous circulation in out-ofhospital patients with cardiac arrest”.We found errors in the affiliated institution of the authors.We apologize for our unintentional mistake.Please note,these changes do not affect our results.

Establishment of a nomogram model for predicting therapy complications in patients with polycythemia and deep venous thrombosis

BACKGROUND Patients with deep venous thrombosis(DVT)residing at high altitudes can only rely on anticoagulation therapy,missing the optimal window for surgery or thrombolysis.Concurrently,under these conditions,patient outcomes can be easily complicated by high-altitude polycythemia(HAPC),which increases the difficulty of treatment and the risk of recurrent thrombosis.To prevent reaching this point,effective screening and targeted interventions are crucial.Thus,this study analyzes and provides a reference for the clinical prediction of thrombosis recurrence in patients with lower-extremity DVT combined with HAPC.AIM To apply the nomogram model in the evaluation of complications in patients with HAPC and DVT who underwent anticoagulation therapy.METHODS A total of 123 patients with HAPC complicated by lower-extremity DVT were followed up for 6-12 months and divided into recurrence and non-recurrence groups according to whether they experienced recurrence of lower-extremity DVT.Clinical data and laboratory indices were compared between the groups to determine the influencing factors of thrombosis recurrence in patients with lowerextremity DVT and HAPC.This study aimed to establish and verify the value of a nomogram model for predicting the risk of thrombus recurrence.RESULTS Logistic regression analysis showed that age,immobilization during follow-up,medication compliance,compliance with wearing elastic stockings,and peripheral blood D-dimer and fibrin degradation product levels were indepen-dent risk factors for thrombosis recurrence in patients with HAPC complicated by DVT.A Hosmer-Lemeshow goodness-of-fit test demonstrated that the nomogram model established based on the results of multivariate logistic regression analysis was effective in predicting the risk of thrombosis recurrence in patients with lowerextremity DVT complicated by HAPC(χ^(2)=0.873;P>0.05).The consistency index of the model was 0.802(95%CI:0.799-0.997),indicating its good accuracy and discrimination.CONCLUSION The column chart model for the personalized prediction of thrombotic recurrence risk has good application value in predicting thrombotic recurrence in patients with lower-limb DVT combined with HAPC after discharge.

Risk factor analysis of post-ERCP cholangitis: A single-center experience

Background: Endoscopic retrograde cholangiopancreatography(ERCP) may have complications. Our study aimed to investigate the risk factors and prevention of post-ERCP cholangitis.Methods: We retrospectively analyzed 4234 cases undergone ERCP in the Affiliated Drum Tower Hospital of Nanjing University Medical School from January 2008 to December 2013. Patient-related factors and procedure-related factors were analyzed to find the risk factors of post-ERCP cholangitis. The time point of post-ERCP cholangitis was also analyzed. Univariate and multivariate analyses were performed to define the independent risk factors of post-ERCP cholangitis.Results: The success rate of ERCP was 96.8%(4099/4234). The overall complication rate was 9.4%(399/4234). Post-ERCP cholangitis occurred in 102 cases(2.4%, 102/4234). The most dangerous time of post-ERCP cholangitis was from 24 h–48 h after ERCP(45.1%, 46/102). Univariate analysis revealed that age, hypertension, diabetes, previous ERCP history, biliary stent insertion, pancreatography, endoscopic sphincterotomy, balloon dilation and hilar obstruction were risk factors of post-ERCP cholangitis(P < 0.05). Multivariate analysis indicated that age, previous ERCP history and hilar obstruction were independent risk factors(P < 0.05). While endoscopic stone extraction was the potential protective factor.Conclusions: Many risk factors are involved in post-ERCP cholangitis. Among them, old age, previous ERCP history and hilar obstruction were independently related to this post-ERCP complication.

Analysis on the principles of differentiation and prescription of traditional Chinese medicine in the treatment of cancerous fever

To investigate the principles of differentiation and prescription of traditional Chinese medicine(TCM)treatment for cancerous fever by logistic stepwise regression and literature investigation,the following databases were searched(from inception to June 30th 2016):CNKI,CSPD,CBM,PubMed,MEDLINE,EMBASE.According to the inclusion and exclusion criteria,literatures about TCM in the treatment of cancerous fever were screened.The frequency about cancerous fever of differential syndrome types,formulas and herbs were analyzed by logistic multiple regression analysis.The model about syndrome types and formula application of cancerous fever was established.The result showed formula prescriptions used most frequently were Qing-Hao-Bie-Jia decoction,Xiao-Chai-Hu decoction,Xue-Fu-Zhu-Yu decoction,Bai-Hu decoction,San-Ren decoction.The main syndrome types of cancerous fever were as follows:Toxic heat flourishing type,Yin deficiency type,Stagnation of damp-heat type,Qi-Yin deficiency type,Liver meridian depressed-heat type,Blood stasis type and Yang deficiency type.Based on regression equation of the syndrome types,the corresponding herbs of this seven syndrome types were Radix Bupleuri,Radix Paeoniae Alba and Scutellaria Baicalensis Georgi;Radix Bupleuri and Cortex Moutan;Radix Paeoniae Rubra and Radix Angelicae Sinensis;Rhizoma Pinelliae,Cortex Lycii Radicis and Radix Paeoniae Alba;Herba Artemisiae Annuae,Gypsum Fibrosum and Poria Cocos;Rhizoma Anemarrhenae,Scutellaria Baicalensis Georgi and Radix Codonopsis;Radix Bupleuri respectively.The results of Logistic regression analysis and frequency of herbs statistics can provide reference for differentiation and treatment of cancerous fever in clinical.

Analysis of the incidence and influencing factors of hyponatremia before ^(131)I treatment of differentiated thyroid carcinoma

BACKGROUND Hyponatremia is a common clinical electrolyte disorder.However,the association between hyponatremia and acute hypothyroidism is unclear.Acute hypothyroidism is usually seen in patients who undergo preparation for radioactive iodine therapy.AIM To analyze the incidence and influencing factors of hyponatremia in a condition of iatrogenic acute hypothyroidism in patients with differentiated thyroid cancer(DTC)before ^(131)I treatment.METHODS The study group consisted of 903 DTC patients who received ^(131)I treatment.The clinical data before and after surgery,as well as on the day of ^(131)I treatment were analyzed.According to the blood sodium level before ^(131)I treatment,patients were divided into the non-hyponatremia group and hyponatremia group.Correlations between serum sodium levels before ^(131)I treatment and baseline data were analyzed.Univariate analysis and binary logistic regression were performed to identify the influencing factors of hyponatremia.RESULTS A total of 903 patients with DTC,including 283(31.3%)males and 620(68.7%)females,with an average age of 43.8±12.7 years,were included in this study.The serum sodium levels before surgery and ^(131)I treatment were 141.3±2.3 and 140.5±2.1 mmol/L,respectively(P=0.001).However,the serum sodium levels in males and females before ^(131)I treatment were lower than those before surgery.Patients aged more than 60 years and less than 60 years also showed decreased serum sodium levels before ^(131)I treatment.In addition,the estimated glomerular filtration rate(eGFR)in males and females decreased before ^(131)I treatment compared with those before surgery(P=0.001).Moreover,eGFR in patients over 60 years and under 60 years decreased before ^(131)I treatment,when compared with that before surgery.There were no significant differences in serum potassium,calcium,albumin,hemoglobin,and blood glucose in patients before surgery and ^(131)I treatment(P>0.05).Among the 903 patients,23(2.5%)were diagnosed with hyponatremia before ^(131)I treatment,including 21 cases(91.3%)of mild hyponatremia and 2 cases(8.7%)of moderate hyponatremia.Clinical data showed that patients with mild hyponatremia had no specific clinical manifestations,while moderate hyponatremia cases were mainly characterized by fatigue and dizziness,which were similar to neurological symptoms caused by hypothyroidism and were difficult to distinguish.Correlation analysis showed a correlation between serum sodium before ^(131)I treatment and the preoperative level(r=0.395,P=0.001).There was no significant correlation between blood sodium and thyroid-stimulating hormone(TSH)levels and urine iodine before ^(131)I treatment(r=0.045,P=0.174;r=0.013,P=0.697).Univariate analysis showed that there were significant differences in age,sex,history of diuretic use,distant metastasis,preoperative blood sodium,blood urea nitrogen(BUN),eGFR,TSH and urinary iodine between the two groups(all P<0.05).Logistic regression analysis showed that factors such as history of diuretic use,distant metastases,preoperative sodium and BUN were all influencing factors of hyponatremia.The Hosmer and Lemeshow test(c2=2.841,P=0.944)suggested a high fit of the model.Omnibus tests of model coefficients indicated the overall significance of the model in this fitted model(P<0.05).Preoperative serum sodium was a significant factor associated with pre-^(131)I therapy hyponatremia(OR=0.763;95%CI:0.627-0.928;P=0.007).CONCLUSION The incidence of hyponatremia induced by ^(131)I treatment preparation was not high.Preparation for radioactive iodine therapy was not a risk factor for the development of hyponatremia in thyroid cancer patients.

Analysis on Factors Related to Infection of Ureaplasm aUrealyticum in Infertile Couples

Objective: To study the relationship between related factors and infection of Ureaplasma Urealyticum (UU). Design: A clinical abservational study. Methods: A total of 212 female and 338 male infertility patients were recruited. The statistic methods are chisqaure test and logistic regression analysis. Results: 1) Age was related to the infection of UU: the older women's age, the higher the UU infection rate. As the women's marrige age and husband age increased, the infection rate was reduced. 2) Occupation is related to the infection of UU, the infection rate being highest in the peasants group. 3) As husband smoked more cigarettes and drank more alcohol, the infection rate of UU was higher. 4) The more sexual life, the higher the infection rate. 5) The duration of infertility had nothing to do with the UU infection. Conclusion: The women's age, marriage age, husbands' age, occupution, sexual life frequency and husbands' smoking and alcoholism are factors related to UU infection.

Analysis of influencing factors of clinical effect of TCM treatment for degenerative lumbar spondylolisthesis

Objective:To explore the related factors that may affect the efficacy of traditional Chinese medicine in treating degenerative lumbar spondylolisthesis.Methods:A total of 535 patients with DLS who were treated in Wangjing Hospital of China Academy of Chinese Medical Sciences and other hospitals from June 2011 to October 2014 were selected.The central random system was used to randomly divide the treatment group and control group.This study included 267 patients in the treatment group using the traditional Chinese medicine program((lumbar spine reduction and lumbar spine rehabilitation),36 cases of severely missing data were excluded,and a total of 231 DLS patients were included.Observation indicators were selected using the Visual Analog Scale(VAS)and the Japanese Orthopaedic Association(JOA)for the evaluation of lumbar vertebral disorders.The clinical efficacy was evaluated using the JOA lumbar pain curative effect evaluation standard[7].[(Joa score after treatment-JOA score before treatment]/(out of 29 points-JOA score before treatment)]×100%.The JOA score and the change of the efficacy index of the patients were observed.According to the JOA efficacy index after the treatment,it was divided into significant effect(≥50%)and poor effect(<50%).Single-factor screening and multi-factor Logistic regression analysis were used.Gender,age,course of disease,BMI index,slip-off segment,slip-off direction,back pain VAS score,total JOA score,back pain-score,lower limb pain and numbness-score,walking ability-score,straight leg elevation test-score,Feeling-scoring,muscle strength-scoring,supine turn-scoring,standing action-scoring,washing action-scoring,standing posture and continuous standing-scoring,long sedentary-scoring,weight lifting and holding-scoring,walking-scoring 2.Bladder function-scores were assigned to logistic regression models for univariate analysis,and meaningful independent variables were screened for multivariate logistic regression.Results:No serious adverse reactions occurred in the patients included in this study.According to the comparison of JOA scores before and after treatment,the results of the index of efficacy index showed that the effective rate of DLS in this project was 96.6%,and a significant effect of 77.6%was achieved.Univariate Logistic regression analysis showed that the duration of disease,supine turn-scoring,washing action-scoring,prolonged sedentary-scoring,weight lifting and keeping-scoring had statistically significant effects on the inclusion of patients with significant efficacy(P<0.05);single factor logistic regression analysis of total score of JOA score before treatment was not statistically significant(P=0.215),but because it is important for evaluating the patient's condition,it was included in multifactor logistic regression analysis at the same time.Course of onset,supine turn-scoring,washing action-scoring,prolonged sedentary-scoring,weight lifting and holding-scoring,JOA score before treatment.Six independent variables were substituted into the two-class logistic regression model for multivariate analysis..Multivariate logistic regression analysis showed that the effects of total JOA score and supine turn-scoring before treatment on the efficacy of patients were statistically significant(P<0.05).There are many factors influencing the efficacy of traditional Chinese medicine treatment of DLS,and the probability of obtaining a significant effect for each additional point of JOA score and supine turn-score before treatment increases by 1.167 and 0.410 times,respectively.Conclusion:The clinical application of lumbar spine reduction combined with lumbar rehabilitation exercises in patients with degenerative lumbar spondylolisthesis with a higher total JOA score or a lower limit of supine turning can achieve better clinical results.This finding has certain guiding significance for the clinical application of this therapy in the treatment of DLS,and is beneficial to improving patient satisfaction and clinical effectiveness.

Evaluation of the diagnostic value of tumor markers with ROC and logistic regression in gastrocolic tumors

Objective: The aim of the study was to evaluate the clinical significance of multiple tumor markers (CEA, AFP, CA72-4 and CA19-9) in patients with gastrocolic tumors by receiver operating characteristic (ROC) curve and stepwise logistic regression (LR) analysis. Methods: The serum concentrations of CEA, AFP, CA72-4 and CA19-9 were measured with electrochemiluminescence immunoassay in 126 patients with gastrocolic tumors, 137 patients with benign gastrocolic disorders and 109 healthy controls. The area under the ROC curve (AUC) of CEA, AFP, CA72-4 and CA19-9 and stepwise LR results were compared by sensitivity, specificity, Youden's index and positive likelihood ratio/negative likelihood ratio. Results: The levels of four tested tumor markers in patients with gastrocolic tumors were significantly higher than those in benign gastrocolic group and normal controls. In the benign gastrocolic group, the AUC from stepwise logistic regression was larger than the AUC of four tumor markers respectively. Sensitivity, Youden's index and positive likelihood ratio/negative likelihood ratio were the highest in the combination assay of CA72-4, CEA, and CA19-9, as compared with one of the tumor markers alone. Conclusion: The use of ROC established by LR analysis model improved the diagnostic accuracy of gastrocolic tumors. For the screening of gastrocolic tumors, the AUC value of the combination probability index (sensitivity and specificity) was significantly higher than the values of the different tumour markers.

Establishment of a prediction model for prehospital return of spontaneous circulation in out-of-hospital patients with cardiac arrest

BACKGROUND Out-of-hospital cardiac arrest(OHCA)is a leading cause of death worldwide.AIM To explore factors influencing prehospital return of spontaneous circulation(P-ROSC)in patients with OHCA and develop a nomogram prediction model.METHODS Clinical data of patients with OHCA in Shenzhen,China,from January 2012 to December 2019 were retrospectively analyzed.Least absolute shrinkage and selection operator(LASSO)regression and multivariate logistic regression were applied to select the optimal factors predicting P-ROSC in patients with OHCA.A nomogram prediction model was established based on these influencing factors.Discrimination and calibration were assessed using receiver operating charac-teristic(ROC)and calibration curves.Decision curve analysis(DCA)was used to evaluate the model’s clinical utility.RESULTS Among the included 2685 patients with OHCA,the P-ROSC incidence was 5.8%.LASSO and multivariate logistic regression analyses showed that age,bystander cardiopulmonary resuscitation(CPR),initial rhythm,CPR duration,ventilation mode,and pathogenesis were independent factors influencing P-ROSC in these patients.The area under the ROC was 0.963.The calibration plot demonstrated that the predicted P-ROSC model was concordant with the actual P-ROSC.The good clinical usability of the prediction model was confirmed using DCA.CONCLUSION The nomogram prediction model could effectively predict the probability of P-ROSC in patients with OHCA.

Investigation of contemporary college students’mental health status and construction of a risk prediction model

BACKGROUND Due to academic pressure,social relations,and the change of adapting to independent life,college students are under high levels of pressure.Therefore,it is very important to study the mental health problems of college students.Developing a predictive model that can detect early warning signals of college students’mental health risks can help support early intervention and improve overall well-being.AIM To investigate college students’present psychological well-being,identify the contributing factors to its decline,and construct a predictive nomogram model.METHODS We analyzed the psychological health status of 40874 university students in selected universities in Hubei Province,China from March 1 to 15,2022,using online questionnaires and random sampling.Factors influencing their mental health were also analyzed using the logistic regression approach,and R4.2.3 software was employed to develop a nomogram model for risk prediction.RESULTS We randomly selected 918 valid data and found that 11.3%of college students had psychological problems.The results of the general data survey showed that the mental health problems of doctoral students were more prominent than those of junior college students,and the mental health of students from rural areas was more likely to be abnormal than that of urban students.In addition,students who had experienced significant life events and divorced parents were more likely to have an abnormal status.The abnormal group exhibited significantly higher Patient Health Questionnaire-9(PHQ-9)and Generalized Anxiety Disorder-7 scores than the healthy group,with these differences being statistically significant(P<0.05).The nomogram prediction model drawn by multivariate analysis includ-ed six predictors:The place of origin,whether they were single children,whether there were significant life events,parents’marital status,regular exercise,intimate friends,and the PHQ-9 score.The training set demonstrated an area under the receiver operating characteristic(ROC)curve(AUC)of 0.972[95%confidence interval(CI):0.947-0.997],a specificity of 0.888 and a sensitivity of 0.972.Similarly,the validation set had a ROC AUC of 0.979(95%CI:0.955-1.000),with a specificity of 0.942 and a sensitivity of 0.939.The H-L deviation test result was χ^(2)=32.476,P=0.000007,suggesting that the model calibration was good.CONCLUSION In this study,nearly 11.3%of contemporary college students had psychological problems,the risk factors include students from rural areas,divorced parents,non-single children,infrequent exercise,and significant life events.

Arterial steroid injection therapy can inhibit the progression of severe acute hepatic failure toward fulminant liver failure

AIM: To utilize transcatheter arterial steroid injection therapy (TASIT) via the hepatic artery to reduce hepatic macrophage activity in patients with severe acute hepatic failure.METHODS: Thirty-four patients with severe acute hepatic failure were admitted to our hospital between June 2002 to June 2006 providing for the possibility of liver transplantation (LT). Seventeen patients were treated using traditional liver supportive procedures, and the other 17 patients additionally underwent TASIT with 1000 mg methylprednisolone per day for 3 continuous days. RESULTS: Of the 17 patients who received TASIT, 13 were cured without any complications, 2 died, and 2 underwent LT. Of the 17 patients who did not receive TASIT, 4 were self-limiting, 7 died, and 6 underwent LT. Univariate logistic analysis revealed that ascites, serum albumin, prothrombin time, platelet count, and TASIT were significant variables for predicating the prognosis. Multivariate logistic regression analysis using stepwise variable selection showed that prothrombin time, platelet count, and TASIT were independent predictive factors. CONCLUSION: TASIT might effectively prevent the progression of severe acute hepatic failure to a fatal stage of fulminant liver failure.

Influential Factors of House-purchasing Intention in Work construction Sites among Migrant Workers with a Case of Investigations on 203 Migrant Workers from Jiangxi Province

The research selected 13 factors from individual and family characters, construction site characters and work characters and analyzed the influences on the willingness of purchasing houses on construction sites with Logistic regression mod- el. The results showed that gender, age differences, personality, willingness on fami- ly land conversion, management of enterprises on construction sites, relatives and friends on construction lands, and Job satisfaction were approved by significant testing, but marital status, annual household income, the rate of migrant worker in a household, transportation in work city, and corporate reputation were not approved by significant testing.

Adoption and Impact of Tobacco Recommended Varieties among Smallholder Farmers in Tabora Region

The research examines the status of adoption of improved tobacco recommended varieties among smallholder farmers with a view to assess the impact of tobacco production on household income in the region. A survey approach was used to collect data from a sample of 160 tobacco farmers who were randomly selected. Descriptive statistics and logistic regression model were used to analyze the data. Results show that farmers have responded appreciably to intervention programme that promote the use of the tobacco recommended varieties with an adoption rate of 61.6%. Information flow from various tobacco companies was the significant factor influencing the decision of farmers to adopt the tobacco recommended varieties. Constraints in the adoption noted include poor germination of seeds, high demand of inputs, unreliable availability of seeds and inadequate knowledge on tobacco production. The mean household income from tobacco production （4,232,415 Tshs） was significantly higher than the mean income of other income sources cumulatively （211,333 Tshs） with an income advantage of 4,021,082 Tshs. The study concludes that farmers are responding appreciably to intervention programmes that promote the use of tobacco recommended varieties in the region. Also tobacco sub-sector has higher contribution on household total income as compared to other enterprises.

Dyslipidemia and Outcome in Patients with Acute Ischemic Stroke

Objective To study the relationship between dyslipidemia and outcome in patients with acute ischemic stroke. Methods Data about 2 568 patients with acute ischemic stroke were collected from 4 hospitals in Shandong Province from January 2006 to December 2008. National Institute of Health Stroke Scale （NIHSS） 〉10 at discharge or death was defined as the outcome. Effect of dyslipidemia on outcome in patients with acute ischemic stroke was analyzed by multivariate logistic regression analysis and propensity score-adjusted analysis, respectively. Results The serum levels of TC, LDL-C, and HDL-C were significantly associated with the outcome in patients with acute ischemic stroke. Multivariate logistic regression analysis and propensity score-adjusted analysis showed that the ORs and 95% CIs were 3.013 （1.259, 7.214）/2.655 （1.298, 5.43）, 3.157 （1.306, 7.631）/3.405 （1.621, 7.154）, and 0.482 （0.245, 0.946）/0.51 （0.282, O.921）, respectively, for patients with acute ischemic stroke. Hosmer-Lemeshow goodness-of-fit test showed no significant difference in observed and predicted risk in patients with acute ischemic stroke （chi-square=8.235, P=0.411）. Conclusion Serum levels of TC, LDL-C, and HDL-C are positively related with the outcome in patients with acute ischemic stroke.

Prognostic factors for chronic severe hepatitis and construction of a prognostic model

BACKGROUND: Chronic severe hepatitis is a serious illness with a high mortality rate. Discussion of prognostic judgment criteria for chronic severe hepatitis is of great value in clinical guidance. This study was designed to investigate the clinical and laboratory indices affecting the prognosis of chronic severe hepatitis and construct a prognostic model. METHODS: The clinical and laboratory indices of 213 patients with chronic severe hepatitis within 24 hours after diagnosis were analyzed retrospectively. Death or survival was limited to within 3 months after diagnosis. RESULTS: The mortality of all patients was 47.42%. Compared with the survival group, the age, basis of hepatocirrhosis, infection, degree of hepatic encephalopathy (HE) and the levels of total bilirubin (TBil), total cholesterol (CHO), cholinesterase (CHE), blood urea nitrogen (BUN), blood creatinine (Cr), blood sodium ion (Na), peripheral blood leukocytes (WBC), alpha-fetoprotein (AFP), international normalized ratio (INR) of blood coagulation and prothrombin time (PT) were significantly different in the group who died, but the levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), albumin (ALB) and hemoglobin (HGB) were not different between the two groups. At the same time, a regression model, Logit (P)=1.573xAge+1.338xHE-1.608xCHO+0.011xCr-0.109xNa+1.298xINR+11.057, was constructed by logistic regression analysis and the prognostic value of the model was higher than that of the MELD score. CONCLUSIONS: Multivariate analysis excels univariate anlysis in the prognosis of chronic severe hepatitis, and the regression model is of significant value in the prognosis of this disease.