Objective To study the influence factors of surgical site infection (SSI) after hepatobiliary and pancreatic surgery.
Methods Fifty patients suffered from SSI after hepatobiliary and pancreatic surgery who treated in Feng,nan District Hospital of Tangshan City from April 2010 and April 2015 were retrospectively collected as observation group, and 102 patients who didn’t suffered from SSI after hepatobiliary and pancreatic surgery at the same time period were retrospectively collected as control group. Then logistic regression was performed to explore the influence factors of SSI.
Results Results of univariate analysis showed that, the ratios of patients older than 60 years, combined with cardiovascular and cerebrovascular diseases, had abdominal surgery history, had smoking history, suffered from the increased level of preoperative blood glucose , suffered from preoperative infection, operative time was longer than 180 minutes, American Societyof Anesthesiologists (ASA) score were 3-5, indwelled drainage tube, without dressing changes within 48 hours after surgery, and new injury severity score (NISS) were 2-3 were higher in observation group (P＜0.05). Results of logistic regression analysis showed that, patients had history of abdominal surgery (OR=1.92), without dressing changes within 48 hours after surgery (OR=2.07), and NISS were 2-3 (OR=2.27) had higher incidence of SSI (P＜0.05).
Conclusion We should pay more attention on the patient with abdominal surgery history and with NISS of 2-3, and give dressing changes within 48 hours after surgery, to reduce the incidence of SSI.
Objective To analyze the factors associated with the adoption of targeted therapy in patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer and to generate evidence to inform decision-making on public security policy regarding innovative anticancer medicines for the benefit of patients. Methods The study population comprised female patients diagnosed with HER2-positive breast cancer and treated at Fujian Cancer Hospital from 2014 to 2020. The patients were eligible for targeted therapy. The demographic and sociological characteristics and clinical information of patients were extracted from the hospital information system. We performed binary logistic regression analysis of factors associated with the adoption of targeted therapy in patients with HER2-positive breast cancer. We also divided the participants into two groups according to their tumor stage for subgroup analysis. Results A total of 1 041 female patients with HER2-positive breast cancer were included, among them, 803 received targeted therapy. In September 2017, molecular-targeted medicines for HER2-positive breast cancer began to be included in the local basic health insurance program. Only 282 (35.1%) patients adopted targeted therapy before September 2017, after which this number increased to 521 (64.9%). Among the patients who adopted targeted therapy, most were formally employed (45.8%) and enrollees of the urban employee health insurance program (66.0%). Among those who did not adopt targeted therapy, most were unemployed (42.4%) and enrollees of the resident health insurance program (50.0%). Binary logistic regression analysis revealed that patient occupation, gene expression of estrogen receptor, tumor stage, surgery or not, radiotherapy or not, and undergoing treatment before or after September 2017 were correlated with the adoption of targeted therapy (P<0.05). Conclusions Inclusion of targeted medicines for HER2-positive breast cancer in the health insurance program substantially increased the overall administration of these therapies. Individual affordability is a critical factor associated with the application of targeted therapy in eligible patients. Future policies should enhance the public security of patients with a relatively weak ability to pay and provide insurance coverage for innovative anti-cancer medicines.
Objective To investigate the status of deciduous caries and early childhood caries among 3-5 year-old children of Uyghur and Chinese in Urumqi, and to explore the correlative factors of early childhood caries. Methods According to the criteria recommended by the Third National Oral Health Investigation, and Oral Health Surveys: Basic Methods of World Health Organization, the deciduous caries of 474 Urghur and Chinese children aged from three to five in nine kindergartens were clinically examined. Data were collected by questionnaire from their parents, and the result waw analyzed using Logistic regression analysis. Results The result of logistic regression analysis showed that the variables including nationality, frequency of drinking milk, eating cookie or drinking sweet beverage before sleep, brushing teeth with help, and educational background of the mother were closely related to the incidence of infantile caries. Conclusion The nationality, frequency of drinking milk, eating cookie or drinking sweet beverage before sleep, brushing teeth with help, and educational background of the mother are correlative factors of early childhood caries. Necessary methods for prevention of deciduous caries must be taken into consideration as early as possible, and the bilingual propaganda for preventing and treating caries should be also highly emphasized.
ObjectivesTo explore the value of neural networks (NN) in estimating propensity score, and to compare the performance of propensity score methods based on both logistic regression (LR) and NN.MethodsData sets including ten binary or continuous covariates, binary treatment variable and continuous outcome variable were simulated by SAS 9.2 software, and 5 scenarios differing by non-linear and/or non-additive associations between treatment assignment and covariates were set up. The sample sizes 500, 1000, 2000, 5000 and 10000 were considered. Propensity scores were estimated using either LR or NN model using only partial covariates associated with the outcome (methods LR1, NN1), or all covariates associated with either outcome or treatment (methods LR2, NN2). The average treatment effect (ATE) estimates, standard error (SE), bias, and mean square error (MSE) of ATE among the different models were compared.ResultsThe 95% confidence intervals of the average treatment effect were narrower in NN than that in LR models. SE, bias and MSE increased with the increasing complexity of non-linear and/or non-additive associations between the treatment and covariates, and smaller SE, bias, and MSE were observed in LR1 than LR2, and in NN1 than NN2. NN generally produced less bias than LR under most scenarios when variables associated with the outcome were introduced. SE and MSE decreased with the increasing sample size for both LR and NN models.ConclusionsNN for estimating propensity scores may be less biased and produce more precise estimates for ATE than LR in a meaningful manner when the complex association between treatment and covariates exists.
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.
ObjectiveTo investigate the correlative factors for the efficacy of surgical treatment for single segment degenerative lumbar spinal disorders.
MethodsFrom October 2008 to November 2010, a prospective non-randomized controlled study was carried out on 179 patients who were diagnosed to have L4-5 degenerative lumbar spinal disorders and underwent surgical treatment. Ninety-seven patients were included in our study, including 64 males and 33 females, aged between 21 and 86 years old, averaging 49.0. The follow up lasted for an average of 18.9 (12-27) months. The correlative factors including age, sex, body mass index, preoperative psychological state and degree of low back pain, surgical methods, combination with adjacent segment degeneration and recurrence state were analyzed. Single and multiple-factor Logistic regression analysis was used to determine the relationship between independent factors and surgical results of lumbar degenerative disease.
ResultsAt the last follow-up, Japanese Orthopaedic Association scores were improved to 22.40±3.18 with an improving rate of (68.5±15.7)% compared with the preoperative condition (7.61±3.09), and the difference was significant (t=-33.031, P<0.001). Univariate analysis showed that all factors were variables associated with the surgical results excluding sex and age (P<0.05). Multiple-factor logistic regression analysis showed that the preoperative psychological state, combination with adjacent segment degeneration and surgical methods had important impact on the surgical results (P<0.05).
ConclusionSurgical treatment of lumbar degenerative disease is effective. The preoperative psychological state, combination with adjacent segment degeneration and surgical methods are important factors associated with the surgical results.
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.
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.
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.
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.
