Objective To analyze and screen the risk factors of both immunohistochemistry and pathology for lung cancer lymphatic metastasis, and to build a mathematical model for preliminary evaluation. Methods By conducting retrospective studies, the information of lung cancer patients in the General Hospital of Air Force from 2009 to 2011 were collected. Both single and multiple unconditional logistic regression analyses were applied to screen total 27 possible factors for lymphatic metastasis. After the factors with statistical significance were selected, the relevant mathematical model was built and then evaluated by means of receiver operating characteristic (ROC) analysis. Results A total of 216 patients were included. The single analyses on 27 possible factors showed significant differences in the following 10 factors: pathological grade (P=0.00), age (P=0.00), tumor types (P=0.01), nm23 (P=0.00), GSTII (P=0.01), TTF1 (P=0.01), MRP (P=0.01), CK14 (P=0.02), CD56 (P=0.02), and EGFR (P=0.03). The multiple factors unconditional logistic regression analyses on those 10 risk factors screened 4 relevant factors as follows: pathological grade (OR=2.34), age (OR=1.02), nm23 (OR=1.66), and EGFR (OR=1.47). Then a mathematical diagnostic model was established based on those 4 identified risk factors, and the result of ROC analysis showed it could improve the diagnostic sensitivity and specificity compared with the single factor mathematical diagnostic model. Conclusion Pathological grade, age, nm23, and EGFR are related with lung cancer lymphatic metastasis, and all of them are the risk factors which have higher adjuvant diagnostic value for lung cancer lymphatic metastasis.
ObjectiveTo learn the outcomes of hepatitis B virus (HBV)-related acute-on-chronic liver failure (ACLF) cases after artificial liver support system (ALSS) treatment and the relevant factors correlated with the clinical outcomes. MethodsIn the period from January 2011 to June 2014, 321 patients with HBV-ACLF were admitted to West China Hospital. The clinical data at baseline, before and after treatment were analyzed by univariate and multivariate logistic regressions to identify the independent risk factors correlated with 30-day outcomes. ResultsOf all the 321 patients, 233 survived and 88 died by the end of a 30-day observation. The univariate analysis identified that the incidences of cirrhosis, hepatorenal syndrome and peritonitis in the death group were significantly higher (P<0.05). The model for end-stage liver disease values, white blood cells (WBC), blood ammonia, creatinine and total bilirubin (TBIL) at different stages in the death group were significantly higher than those in the survival group (P<0.05). In the death group, the HBV-DNA, TBIL decrease after triple ALSS treatments, baseline prothrombin time activity (PTA) and PTA level after triple ALSS treatments were significantly lower (P<0.05). The multivariate logistic regression indicated that WBC (OR=2.337, P<0.001) and TBIL level after triple ALSS treatments (OR=4.935, P<0.001) were independent predicting factors for death within 30 days after ALSS treatment; HBV-DNA (OR=0.403, P<0.001), the decrease of TBIL after triple ALSS treatments (OR=0.447, P<0.001) and PTA level after triple ALSS treatments (OR=0.332, P<0.001) were protecting factors for the 30-day prognosis. ConclusionThese five factors including WBC, HBV-DNA, PTA, TBIL and TBIL decrease after triple ALSS treatments influence the short-term prognosis for HBV-ACLF patients, which are valuable for decision making in clinical practices.
Objective To analysis correlation factors for preoperative sudden death of patients with type A aortic dissection in order to determine clinical management strategy.?Methods?We retrospectively analyzed clinical data of 52 patients with type A aortic dissection who were admitted in Department of Cardiothoracic Surgery of the Affiliated Drum Tower Hospital of Nanjing University Medical School from January 2003 to January 2010. According to the presence of preoperative death, all the patients were divided into two groups, 9 patients in the preoperative sudden death （PSD）group including 7 males and 2 females with their mean age of 52.0±12.1 years；43 patients in the control group including 31 males and 12 females with their mean age of 51.5±10.9 years. Univariate and multivariate logistic regression analysis were used for analysis of preoperative factors related to sudden death.?Results?Univariate analysis result showed 7 candidate variables：body mass index （BMI, Wald χ2=2.150, P=0.143）, time of onset （Wald χ2=2.711, P= 0.100）, total cholesterol （TC, Wald χ2=1.444, P=0.230）, low density lipoprotein cholesterol （L-C, Wald χ2=1.341, P=0.247）, aortic insufficiency （AI, Wald χ2=2.093, P=0.148）, aortic sinus involvement （Wald χ2=3.386, P=0.066）and false lumen thrombosis （Wald χ2=7.743, P=0.005）. Multivariate logistic regression analysis showed that BMI （Wald χ2=4.215, P=0.040, OR=1.558）and aortic sinus involvement （Wald χ2=4.592, P=0.032, OR=171.166 ）were preoperative risk factors for sudden death, and thrombosed false lumen （Wald χ2=5.097, P=0.024, OR=0.011）was preoperative protective factor for sudden death.?Conclusion?Type A aortic dissection patients with large BMI and/or aortic sinus involvement should receive operation more urgently than others and patients with thrombosed false lumen may have relatively low risk of preoperative sudden death.
Objective To analyze the substitution mechanism of surrogate endpoints for traditional Chinese medicine (TCM) clinical efficacy evaluation of chronic heart failure (CHF). Methods To obtain data from the occurrence of surrogate endpoints and cardiogenic death of patients with CHF in 7 hospitals. The causal relationship between surrogate endpoints and cardiogenic mortality was inferred by the Bayesian network model, and the interaction among surrogate endpoints was analyzed by non-conditional logistic regression model. Results A total of 2 961 patients with CHF were included. The results of Bayesian network causal inference showed that cardiogenic mortality had a causal relationship with the surrogate endpoints including NYHA classification (P=0.46), amino-terminal pro-B-type natriuretic peptide (NT-proBNP) (P=0.24), left ventricular ejaculation fraction (LVEF) (P=0.19), and hemoglobin (HB) (P=0.11); non-conditional logistic regression analysis showed that NYHA classification had interaction with NT-proBNP, LVEF, and HB prior to and after adjusting confounders. Conclusions The substitution capability of surrogate endpoints for TCM clinical efficacy evaluation of CHF for cardiogenic mortality are NYHA classification, NT-proBNP, LVEF, and HB in turn, and there is a multiplicative interaction between the main surrogate endpoint NYHA classification and the secondary surrogate endpoints including NT-proBNP, LVEF, and HB, suggesting that when the two surrogate endpoints with interaction exist at the same time, it can enhance the substitution capability of surrogate endpoints for cardiogenic mortality.
ObjectiveTo investigate the risk factor for restenosis of esophageal anastomosis stricture after esophageal cancer operation. MethodsWe retrospectively analyzed the clinical data of 83 patients including 61males and 22 females at age of 58.9(41-81) years with esophageal anastomoic stricture after esophageal cancer operation between January 2002 and December 2013. According to whether the patients developed to restenosis or not, the statistical test and logistic regression was conducted to analyze the risk factors for restenosis. ResultsIn the 83 patients with esophageal anastomoic stricture after esophageal cancer surgery, 35 patients (42.2%) experienced restenosis within the following-up of 1 year. The result of logistic regression analysis indicated that restenosis appeared in 3 months (Wald value=23.3, P < 0.001), the interval between two subsequent sessions of more than 4 weeks at each esophagus dilatation(Wald value=4.8, P=0.029) and the stricture diameter of less than 12 mm after dilation (Wald value=5.8, P=0.016) are the independent risk factors for restenosis in esophageal anastomotic stricture. ConclusionFor the patients with esophageal anastomoic stricture after esophageal cancer operation, we believe that it's conducive to reduce esophageal restenosis if the interval between dilations is within 4 weeks and the diameter of stricture after dilation can reach above 12 mm.
ObjectiveTo explore the selection problem of independent variables and stepwise regression method for multiple logistic regression analysis. MethodsAccording to the data of the case-control investigation for coronary heart disease, age (X1), hypertension history (X2), hypertension family history (X3), smoking (X4), hyperlipidemia history (X5), animal fat intake (X6), weight index (X7), type A personality (X8), and coronary heart disease (CHD, Y) were analyzed by SPSS 18.0 software. The multiple logistic regression analysis was done and the differences of risk factors were compared among 6 kinds stepwise regression variable selection method. ResultsThe univariate analysis showed that no difference was found between CHD group and non-CHD group in age distribution (P=0.116). But the multivariate logistic regression analysis showed that, comparing to population over 65 years old, age was a protective factor on the low age groups (OR< 45=0.100, 0.000 to 0.484, P=0.020; OR45-54=0.051, 0.003 to 0.975, P=0.048). If the age was defined as categorical variable, the risk factors for coronary heart disease were animal fat intake (X6), type A personality (X8), hypertension history (X5) and age (X1), respectively (P < 0.05). If the age was defined as a continuous variable, the effect of age (X1) was not statistically significant (P=0.053). The common risk factors were intake of animal fat (X6) and type a personality (X8) by six kinds method of stepwise variable selection. In addition, the risk factor also included hyperlipidemia history (X5) (forward-condition, forward-LR, forward-wald), hypertension family history (X3), age (X1) (backward-condition, backward-LR) and hypertension history (X2) (backward-wald). ConclusionStepwise regression method should be used to analyze all the variables, including no statistically significant independent variables in univariate analysis. If the categorical variable is regarded as continuous variables, some information may be lost, and even the risk factors may be missed. When the risk factors are not the same by several stepwise regression variable selection method, it should be combined with clinical and epidemiological significance, as well as biological mechanisms and other professional knowledge.
ObjectiveTo explore risk factors of gastric paralysis following gastrectomy of gastric cancer and analyze its causes. MethodsThe clinical data of 116 patients with gastric cancer for hospitalization time more than 21 days following gastrectomy were retrospectively analyzed from October 2011 to October 2013 in this hospital, in which 16 patients with gastric paralysis and 116 patients without gastric paralysis. The factors relevant gastric paralysis were analyzed by logistic regression analysis. ResultsThe results of single factor analysis showed that the preoperative body mass index, history of diabetes, operative time, postoperative cardiovascular complications, albumin and hemoglobin levels within 3 d after operation, time to get out of bed after surgery, extubation time of gastric tube, the first drinking time and the first feeding time were associated with the gastric paralysis (P < 0.05), but the gender, age, time of diabetes history, life mode, smoking history, hypertension history, pylorus preserving or not, laparoscopy or not, intraoperative blood loss, intraoperative blood transfusion, uses of postoperative intraperitoneal chemotherapy drugs and postoperative analgesic drugs, and indwelling time of jejunum nutrition tube were not associated with gastric paralysis (P > 0.05). The results of logistic regression analysis showed that the preoperative body mass index, history of diabetes, operative time, time to get out of bed after surgery, and postoperative cardiovascular complications were the independent risk factors of gastric paralysis (P < 0.05). ConclusionsThere are many factors that affect occurrence of gastric paralysis following gastrectomy of gastric cancer. Preoperative or intraoperative positive prevention measures could be taken according to the factors that might affect occurrence of gastric paralysis, which might be reduce gastric paralysis following gastrectomy of gastric cancer.
Objective To investigate the prognostic factors of esophageal squamous cell carcinoma（ESCC） by multivariate analysis of clinicopathologic features of ESCC between long-term and short-term survivals after esophagectomy. Methods The clinicopathologic features of randomly selected 126 cases with ESCC were analyzed with binary logistic regression, 48 cases of which was divided into long-term survival group（≥5 years） and 78 cases into short-term survival group（≤1 year） according to the follow-up. Results Under univariate analysis, the differences between two groups on tumor pathologic grading, metastasis to lymph node, depth of tumor invasion and length of tumor were significant （Plt;0.01）, however, that on age, gender, location of tumor and status of residues were not （Pgt;0. 05）. Multivariate analysis showed that tumor pathologic grading, metastasis to lymph node, depth of tumor invasion and length of tumor correlated with the prognosis of ESCC （Plt;0. 05）. Their risk coefficient were 2. 943, 2. 641, 2. 126 and 1. 728, respectively. Age, gender, location of tumor and status of residues did not correlated with the prognosis of ESCC （Pgt;0. 05）. Correlation analysis indicated that depth of tumor invasion was positively related to the length of tumor （r=0. 488, Plt;0. 001）, metastasis to lymph node was positively related with depth of tumor invasion and tumor pathologic grading （r=0. 216, P=0. 014; r=0. 238, P=0. 007）. Conclusions The main prognostic factors of ESCC are tumor pathologic grading, metastasis to lymph nodes, depth of tumor invasion and length of tumor,Tumor pathologic grading is high risk factor for prognosis of ESCC,while length of tumor is low risk factor. Age and gender of patients, location of tumor and status of esophageal residues are non-risk factors.
ObjectivesBased on the historical data of inpatients, a logistic regression model was established. It aimed to identify the influencing factors of patient's admission scheduling decisions and compare them with the actual scheduling rules, so as to discover the differences and deficiencies.MethodsWe extracted data of outpatients and inpatients in Department of Respiration in West China Hospital of Sichuan University from January 1st, 2016 to December 31st, 2016, and standardized the original dataset. We established the binary multivariate logistic regression model through R software and ‘glm’ package.ResultsThe analysis of multi-factor logistic regression showed that the effect of the five variables (type of medical insurance, time of registration, waiting time, type of disease and admission priority) on patient schedule was statistically significant.ConclusionsThe logistic regression model constructed in this study has a good effect on patient planning, which is helpful to provide decision support for admission schedule through identification factors.
Objective To explore the positive rate of emphysema in groups under Low-dose CT screening, then take the regression analysis on related risk factors for emphysema. Methods A total of 1 175 volunteers involved in low-dose CT screening and completing the questionnaire were collected and taken the CT quantitative assessment for emphysema, then the positive rate of emphysema was calculated. Questionnaire data were collected and non-conditional Logistic regression was used to analyze the factors in the questionnaire. Results Ninety-seven cases of emphysema had been detected in 1 175 volunteers, and the positive rate was 8.26%. The positive rate for the males and the females was 9.90% (71/717) and 5.68% (26/458), respectively. Three risk factors (smoking, second-hand smoking, history of chronic bronchitis) were screened out by Logistic regression. Conclusions According to the results of the regression analysis, smoking, second-hand smoking and history of chronic bronchitis are main risk factors for emphysema. Some effective measures could be made against emphysema in high risk population. In that way the morbidity and perniciousness of emphysema could be reduced.