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.
ObjectiveTo analyze the risk factors of multidrug-resistant organism (MDRO) nosocomial infection, and to provide the scientific basis for the prevention and control of MDRO nosocomial infection.MethodsPatients with MDRO in Chengdu Shangjin Nanfu Hospital from 2014 to 2015 were retrospectively collected. The patients were divided into the MDRO nosocomial infection group and the MDRO non-nosocomial infection group. The MDRO infection/colonization, bacterial strain type, specimens type and distribution characteristics of clinical departments were analyzed. Single factor and multiple factor logistic regression analysis were used to analyze the risk factors of MDRO nosocomial infection.ResultsA total of 357 patients of MDRO infection/colonization were monitored, of which 147 times (144 patients) were with nosocomial infections and 213 times (213 patients) were without nosocomial infections. MDRO nosocomial infection incidence rate/cases incidence rate were 0.18%. A total of 371 MDRO bacterial strains were detected, of which 147 (39.62%) were with nosocomial infection and 224 (60.38%) were without nosocomial infections. The MDRO non-nosocomial infections included 175 strains (47.17%) in community infection and 49 strains (13.12%) in colonization. Carbapenem-resistant Acinetobacter baumannii (52.83%) was the main MDRO strains. Sputum (57.14%) and secretion (35.04%) were main specimens. The top three departments of MDRO nosocomial infection strains were orthopedics (32.65%), ICU (27.89%), neurosurgery (13.61%). ICU [odds ratio (OR)=3.596, 95% confidence interval (CI) (1.124, 11.501), P=0.031], surgical history [OR=2.858, 95%CI (1.061, 7.701), P=0.038], indwelling urinary catheter [OR=3.250, 95%CI (1.025, 10.306), P=0.045], and using three or more antibiotics [OR=4.228, 95%CI (1.488, 12.011), P=0.007] were the independent risk factors of MDRO nosocomial infection.ConclusionEffective infection prevention and control measures should be adopted for the risk factors of MDRO nosocomial infection to reduce the incidence rate of MDRO nosocomial infection.
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 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.
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 approach the convenient prediction methods about surgical indications of adhesive ileus. Methods Two thousand and thirtyfour patients with adhesive ileus were analyzed retrospectively between January 1996 and January 2010 in the Department of General Surgery, The First Affiliated Hospital of Anhui Medical University， and 1 992 patients were included into this model. Seventeen factors which could influence the surgical decisions, including period of intestinal obstruction (X1), frequency of attack (X2), history of operation on abdominal region (X3), continuous and severe abdominal pain (X4), severe or frequent vomiting (X5), severe abdominal distention (X6), hemafecia (X7), fever (X8), heart rate (X9), shock or hypotension (X10), touching a swell ansa intestinalis (X11), hypoactive bowel sound (X12), peritonitis (X13), white blood cell (WBC) count of peripheral blood (X14), obstruction ansa interstinalis fixation and a severe expansion by abdominal erect position plain film (X15), peritoneal cavity free air (X16), and seroperitoneum whether or not by B ultrasonic examination (X17) were analyzed by binary logistic regression. Then prediction schedule whether patients with adhesive ileus needed emergency operation was gained by the theory of logistic regression analysis. Results Eight items were included in the prediction model by the method of forward stepwise which were X1, X2, X4, X9, X13, X14, X15, and X17, respectively. The probability of operation could be calculated by the following formula: logit(P)=expZ/（1+expZ）, where, Z={-7.813+〔-1.942×X1(1)/2.290×X1(2)/2.765×X1(3)〕+2.801×X2+2.692×X4+10.610×X9(1)/13.279×X9(2)+3.422×X13+〔-3.048×X14(1)/16.992×X14(2)〕+6.113×X15+2×X17}， which X1（1）, X1（2）, and X1（3） were periods of intestinal obstruction 3－5 d, 5－7 d, and ≥7 d, respectively. X9(1) and X9(2) were heart rates of 60－100/min and ≥100/min, respectively. X14(1) and X14(2) were WBC counts of peripheral blood of (10-20)×109/L and ≥20×109/L， respectively. The patient had to accept surgical procedure when the value of P was more than 0.5. The coincidence was 99.00%, sensitivity was 96.17%, specificity was 99.53% in 1 992 patients. The coincidence was 96.20%, sensitivity was 90.00%, specificity was 96.84% in 105 patients between January 2010 and April 2010 in this hospital. Conclusion The prediction schedule is a good useful value, but the coefficients is corrected following the cases increasing.
Early detection of vascular function plays an important role in the prevention and treatment of cardiovascular diseases (CVDs). This paper reports the main studies of the effectiveness of fingertip temperature curve in digital thermal monitoring (DTM) for predicting CVDs, as well as the relationship between parameters from DTM and pulse wave velocity (PWV) detection. A total of 112 subjects [age (42.18±12.28) years, 50% male, 37 with known CVDs] underwent DTM and PWV detection. Results showed that most of parameters related to CVDs were from the declining stage of the digital thermal signal. Binary Logistic regression models were built, and the best one was chosen by ten-fold validation to predict CVDs. Consistency was great between the detection result of PWV and that of the Logistic model of DTM parameters. Parameters from DTM also contained information for early detecting of vascular stiffness. This study indicates that the fingertip temperature curve in DTM has a potential application for predication of CVDs, and it would be used to access vascular function in the initial stage of CVDs.
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.
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.
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.
