Objective To explore the independent risk factors for hospital infections in tertiary hospitals in Gansu Province, and establish and validate a prediction model. Methods A total of 690 patients hospitalized with hospital infections in Gansu Provincial Hospital between January and December 2021 were selected as the infection group; matched with admission department and age at a 1∶1 ratio, 690 patients who were hospitalized during the same period without hospital infections were selected as the control group. The information including underlying diseases, endoscopic operations, blood transfusion and immunosuppressant use of the two groups were compared, the factors influencing hospital infections in hospitalized patients were analyzed through multiple logistic regression, and the logistic prediction model was established. Eighty percent of the data from Gansu Provincial Hospital were used as the training set of the model, and the remaining 20% were used as the test set for internal validation. Case data from other three hospitals in Gansu Province were used for external validation. Sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve (AUC) were used to evaluate the model effectiveness. Results Multiple logistic regression analysis showed that endoscopic therapeutic manipulation [odds ratio (OR)=3.360, 95% confidence interval (CI) (2.496, 4.523)], indwelling catheter [OR=3.100, 95%CI (2.352, 4.085)], organ transplantation/artifact implantation [OR=3.133, 95%CI (1.780, 5.516)], blood or blood product transfusions [OR=3.412, 95%CI (2.626, 4.434)], glucocorticoids [OR=2.253, 95%CI (1.608, 3.157)], the number of underlying diseases [OR=1.197, 95%CI (1.068, 1.342)], and the number of surgical procedures performed during hospitalization [OR=1.221, 95%CI (1.096, 1.361)] were risk factors for hospital infections. The regression equation of the prediction model was: logit(P)=–2.208+1.212×endoscopic therapeutic operations+1.131×indwelling urinary catheters+1.142×organ transplantation/artifact implantation+1.227×transfusion of blood or blood products+0.812×glucocorticosteroids+0.180×number of underlying diseases+0.200×number of surgical procedures performed during the hospitalization. The internal validation set model had a sensitivity of 72.857%, a specificity of 77.206%, an accuracy of 76.692%, and an AUC value of 0.817. The external validation model had a sensitivity of 63.705%, a specificity of 70.934%, an accuracy of 68.669%, and an AUC value of 0.726. Conclusions Endoscopic treatment operation, indwelling catheter, organ transplantation/artifact implantation, blood or blood product transfusion, glucocorticoid, number of underlying diseases, and number of surgical cases during hospitalization are influencing factors of hospital infections. The model can effectively predict the occurrence of hospital infections and guide the clinic to take preventive measures to reduce the occurrence of hospital infections.
Abstract: Objective To investigate the method of improving effect, by investigating and analyzing the possible risk factors affecting shortterm outcome after total correction of tetralogy of Fallot (TOF). Methods Data of 219 patients who received total correction of TOF were divided into two groups according to the length of postoperative stay in hospital and recovery of heart function in the near future. Group A(n=110): patients had good recovery of heart function classified as gradeⅠorⅡ（NYHA classification）, and could smoothly be discharged from the hospital within two weeks without serious complications. The left ventricular ejection fraction (LVEF) had to exceed to 0.50 during 6 months followup visit. Group B(n=109): patients had worse recovery of heart function classified as grade Ⅱ or Ⅲ, and could not be discharged within two weeks with severe complications. LVEF was less than 0.50 during 6 months followup visit. The clinical data of two groups were compared, and risk factors affecting shortterm outcome after total correction of TOF operation were analyzed by logistic regression and model selection. Results There were good recovery of heart function classified as gradeⅠorⅡ(NYHA classification）in discharge, no death, and LVEF all exceeded to 0.50 in group A; there were 8 deaths in group B (7.34 %), and recovery of heart function was worse classified as grade Ⅱ or Ⅲ, with LVEF being less than 0.50（Plt;0.01）. Amount of postoperative daily thoracic drainage, assisted respiration time, time of inotropic agent stabilizing circulation, and the average length of postoperative stay in group A were all less or short than those in group B（Plt;0.01）. But the bypass and clamping time of group B were exceeded group A. The ratio of patching astride annulus in group B was greater than that in group A, and Nakata index was less than that in group A(Plt;0.01). The results of logistic regression and model selection indicate: age at repair (OR=0.69), oxygen saturation(OR=0.98), haematocrit before operation (OR=0.94), and patching astride annulus (OR=46.86), Nakata index (OR=16.90), amount of postoperative daily thoracic drainage (OR=0.84), presence of arrhythmia(OR=0.87), and wound infection(OR=63.57) have significant effect with shortterm outcome after total correction of TOF operation. Conclusions The probable methods to improving effect of shortterm outcome after total correction of TOF are an earlier age at repair, decreasing haematocrit, rising oxygen saturation before surgery, performing a palliative operation facilitating development of arteriae pulmonalis in earlier time, improving the surgical technique, and strengthening the perioperative care.
Features and interaction between features of liver disease is of great significance for the classification of liver disease. Based on least absolute shrinkage and selection operator (LASSO) and interaction LASSO, the generalized interaction LASSO model is proposed in this paper for liver disease classification and compared with other methods. Firstly, the generalized interaction logistic classification model was constructed and the LASSO penalty constraints were added to the interactive model parameters. Then the model parameters were solved by an efficient alternating directions method of multipliers (ADMM) algorithm. The solutions of model parameters were sparse. Finally, the test samples were fed to the model and the classification results were obtained by the largest statistical probability. The experimental results of liver disorder dataset and India liver dataset obtained by the proposed methods showed that the coefficients of interaction features of the model were not zero, indicating that interaction features were contributive to classification. The accuracy of the generalized interaction LASSO method is better than that of the interaction LASSO method, and it is also better than that of traditional pattern recognition methods. The generalized interaction LASSO method can also be popularized to other disease classification areas.
Objective To investigate the effect factors of knee function recovery after operation in distal femoral fractures. Methods From January 2001 to May 2007, 92 cases of distal femoral fracture were treated. There were 50 males and 42 females, aged 20-77 years old (average 46.7 years old). Fracture was caused by traffic accident in 48 cases, by fall ing fromheight in 26 cases, by bruise in 12 cases and by tumble in 6 cases. According to Müller’s Fracture classification, there were 29 cases of type A, 12 cases of type B and 51 cases of type C. According to American Society of Anesthesiologists (ASA) classification, there were 21 cases of grade I, 39 cases of grade II, 24 cases of grade III, and 8 cases of grade IV. The time from injury to operation was 4 hours to 24 days with an average of 7 days. Anatomical plate was used in 43 cases, retrograde interlocking intramedullary nail in 37 cases, and bone screws, bolts and internal fixation with Kirschner pins in 12 cases. After operation, the HSS knee function score was used to evaluate efficacy. Ten related factors were appl ied for statistical analysis, to knee function recovery after operation in distal femoral fractures, such as age, sex, preoperative ASA classification, injury to surgery time, fracture type, treatment, reduction qual ity, functional exercise after operation, whether or not CPM functional training and postoperative compl ications. Results Wound healed by first intention in 88 cases, infection occurred in 4 cases. All patients followed up 16-32 months with an average of 23.1 months. Cl inical union of fracture was achieved within 3-7 months after operation. Extensor device adhesions and the scope of activities of lt; 80° occurred in 29 cases, traumatic arthritis in 25 cases, postoperative fracture displacement in 6 cases, mild knee varus or valgus in 7 cases and implant loosening in 6 cases. According to HSS knee function score, the results were excellent in 52 cases, good in 15 cases, fair in 10 cases and poor in 15 cases with an excellent andgood rate of 72.83%. Single factor analysis showed that age, preoperative ASA classification, fracture type, reduction qual ity, whether or not CPM functional exercise, and postoperative compl ications were significantly in knee function recovery (P lt; 0.05). logistic regression analysis showed that the fracture type, qual ity of reduction, whether or not CPM functional exercise, and age were major factors in the knee joint function recovery. Conclusion Age, preoperative ASA classification, fracture type, reduction qual ity, and whether or not CPM functional training, postoperative compl ications factors may affect the knee joint function recovery. Adjustment to the patient’s preoperative physical status, fractures anatomic reduction and firm fixation, early postoperative active and passive functional exercises, less postoperative compl ications can maximize the restoration of knee joint function.
Signal classification is a key of brain-computer interface (BCI). In this paper, we present a new method for classifying the electroencephalogram (EEG) signals of which the features are heterogeneous. This method is called wrapped elastic net feature selection and classification. Firstly, we used the joint application of time-domain statistic, power spectral density (PSD), common spatial pattern (CSP) and autoregressive (AR) model to extract high-dimensional fused features of the preprocessed EEG signals. Then we used the wrapped method for feature selection. We fitted the logistic regression model penalized with elastic net on the training data, and obtained the parameter estimation by coordinate descent method. Then we selected best feature subset by using 10-fold cross-validation. Finally, we classified the test sample using the trained model. Data used in the experiment were the EEG data from international BCI Competition Ⅳ. The results showed that the method proposed was suitable for fused feature selection with high-dimension. For identifying EEG signals, it is more effective and faster, and can single out a more relevant subset to obtain a relatively simple model. The average test accuracy reached 81.78%.
Atrial fibrillation (AF) is the most common arrhythmia in clinic, which can cause hemodynamic changes, heart failure and stroke, and seriously affect human life and health. As a self-promoting disease, the treatment of AF can become more and more difficult with the deterioration of the disease, and the early prediction and intervention of AF is the key to curbing the deterioration of the disease. Based on this, in this study, by controlling the dose of acetylcholine, we changed the AF vulnerability of five mongrel dogs and tried to assess it by analyzing the electrophysiology of atrial epicardium under different states of sinus rhythm. Here, indices from four aspects were proposed to study the atrial activation rule. They are the variability of atrial activation rhythm, the change of the earliest atrial activation, the change of atrial activation delay and the left-right atrial dyssynchrony. By using binary logistic regression analysis, multiple indices above were transformed into the AF inducibility, which were used to classify the signals during sinus rhythm. The sensitivity, specificity and accuracy of classification reached 85.7%, 95.8% and 91.7%, respectively. As the experimental results show, the proposed method has the ability to assess the AF vulnerability of atrium, which is of great clinical significance for the early prediction and intervention of AF.
ObjectiveTo evaluate the predictors of generalized anxiety disorder (GAD) among teachers in 3 months after Lushan earthquake.
MethodsA prospective cohort study was conducted to diagnostically evaluate the psychological sequelae and GAD during 14-20 days and 85-95 days after the earthquake. The possible predictive factors of psychological sequelae were assessed by a self-made questionnaire and the GAD was assessed by the GAD symptom criterion of M.I.N.I. in 3 months. The univariate and multivariate logistic regression analysis (ULRA, MLRA) were applied to analyze the predictors of GAD after the two-staged assessments.
ResultsThere were a total of 319 teachers completed the two-staged assessments. The total response rate was 51.3%. Seventy teachers were diagnosed as GAD and the prevalence of GAD in 3 months was 21.9%. The predictive factors by ULRA included:male, older than 35 years old, having unlivable house, living in tents, sleeping difficulties, easy to feel sad, physical discomfort, loss of appetite, feeling short of social support, unable to calm down for working, feeling difficult for teaching, observing more inattention of students, and wanting to ask for a leave. The independent predictors by MLRA included:male, having unlivable house, feeling short of social support, and feeling difficult for teaching.
ConclusionThe teachers have a higher likelihood of GAD after earthquake. It is essential to pay more attention to those male teachers, who feel short of social support and don't have a livable house thus to prevent the GAD at the early stage of post-earthquake.
Objective To explore the risk factors of invasive fungal infection ( IFI) in respiratory ward. Methods A multi-center, retrospective, case-control study was carried out. Patients from five general hospitals in Chongqing city, diagnosed as fungal infection, or whose respiratory specimens were fungal positive, were retrospectively screened for IFI. Patients with respiratory infection and colonization of nonfungal cases in the same period of hospitalization were enrolled as control. Results Thirty-four patients diagnosed with IFI and 50 patients diagnosed with bacterial infection were analyzed for the risk factors of IFI. The demographic characteristics of patients including age and gender were not different( P gt; 0. 05) , but hospitalization days, carbapenem antibiotic use, chemotherapy, deep venous catheterization, total parenteralnutrition( TPN) , neutropenia, and renal disfunction were different significantly between the IFI group and the control group. Multiple logistic regression analysis showed that carbapenem antibiotic use ( OR = 6. 753) ,central venous catheterization ( OR = 5. 021) and TPN ( OR = 3. 199) were main risk factors of invasive fungal infection. Conclusion The carbapenem antibiotic use, central venous catheterization and TPN are risk factors for IFI in respiratory ward.
Objective To investigate the adverse pregnant outcomes of hospitalized pregnant women in Lanzhou city, and analyze the corresponding risk factors and provide basis for the further research on better child-bearing and child-rearing. Methods In two provincial-level hospitals and one provincial-level specialized hospital, the method of cluster random sampling was applied to extract 6 825 medical records from January 2004 to December 2005. The relevant information was abstracted and correlative analyses were undertaken. Results The incidence of adverse pregnancy outcomes for the hospitalized pregnant women in Lanzhou city was 14.65%. Single-factor unconditional logistic regression analyses displayed that the variables with statistical significance were the number of previous pregnancies, the number of previous child delivery, abortion history, abnormal gestation history, and past medical history, whereas multi-factor unconditional logistic regression analyses revealed that the adverse pregnancy outcomes were positively correlated with abnormal gestation history and the number of previous pregnancies with statistical significance. Conclusion The incidence of adverse pregnancy outcomes for the hospitalized pregnant women in Lanzhou city is quite high. Abnormal gestation history and the number of previous pregnancies are the main risk factors for the adverse pregnancy outcomes.
Objective To investigate the feasibility of diagnosis of potential chronic obstructive pulmonary disease (COPD) patients who cannot finish the pulmonary function test via biphasic CT scan. Methods Sixty-seven male individuals aged 43 to 74 (57.0±5.9) years were divided into a COPD group (n=26) and a control group (n=41). All individuals underwent biphasic quantitative CT scan for calculating the proportion of emphysema, functional small airway disease, and normal component of the whole lung and each lobe. Results Based on principle component analysis, two principal components “imaging feature function 1 and imaging feature function 2” were calculated and analyzed by logistic regression, which found that imaging feature function 1 was an independent risk factor of COPD (odds ratio=8.749, P<0.001), and imaging features function 1 could be used to assist the diagnosis of COPD (area under receiver operating characteristic curve=0.843, P<0.001). Conclusion Imaging features function 1 is an independent risk factor for COPD and can assist the diagnosis of COPD.
