Objective To construct and validate a prediction model for urosepsis in patients after upper urinary tract stone surgery using various machine learning algorithms.Methods A total of 7 464 upper urinary tract stone patients who underwent surgery at the Sixth Affiliated Hospital of Guangxi Medical University from Jun.2018 to Jun.2023 were enrolled and randomly assigned to training(5 224 cases)or validation sets(2 240 cases)at a ratio of 7∶3.Among them,622(8.33%)cases developed urosepsis postoperatively.Six machine learning algorithms,including extreme gradient boosting(XGBoost),logistic regression,light gradient boosting machine(LightGBM),random forest(RF),adaptive boosting(AdaBoost),and gradient boosting decision tree(GBDT),were used to construct prediction models for postoperative urosepsis.The model's predictive ability and clinical benefits were evaluated using receiver operating characteristic(ROC)curves,Shapley additive explanation(SHAP)analysis,calibration curves,and decision curve analysis(DCA).Results The clinical features included body mass index(BMI),number of surgeries,heart rate,Barthel index,venous thrombo embolism(VTE)risk assessment,gender,American Society of Anesthesiologists(ASA)grade,urinary nitrite,and urinary leukocyte in the models.In the training set,the XGBoost,LightGBM,and RF models performed excellently,with area under curve(AUC)values of ROC curves reaching 1.00.In the validation set,the logistic regression model performed the best,with an AUC value of ROC curve of 0.76,showing good predictive stability and calibration.The AdaBoost and GBDT models followed with AUC values of 0.74 and 0.75,respectively,while the AUC values of the LightGBM,XGBoost,and RF models were 0.71,0.70,and 0.68.In terms of model interpretability,SHAP analysis showed the contribution of variables in a descending order as:heart rate,urinary leukocytes,gender,BMI,Barthel index,VTE risk assessment,urinary nitrite,number of surgeries,and ASA grade.Conclusion A logistic regression model for early risk prediction of postoperative urosepsis in upper urinary tract stone patients has been successfully constructed.This model has good predictive performance and calibration,and can effectively assist clinical diagnosis.

Objective: To investigate the effect of hypnotherapy on improving pain degree,pain catastrophizing,pain self efficacy,coping styles of female college students with primary dysmenorrhea, and to provide the theoretical support for psychological intervention. Methods: Fifty six female college students with primary dysmenorrhea were randomly divided into experimental group( n =28) and control group( n =28).Samples in the experimental group received 10 session structured hypnotherapy, while the control group received no intervention (the control group could receive the intervention when the intervention was proved to be effective) .The effects were evaluated with Numerical Rating Scale (NRS),Pain Catastrophizing Scale (PCS),Pain Self Efficacy Questionnaire（PSEQ）,was proved to be effective .The effects were evaluated with Numerical Rating Scale (NRS),Pain Catastrophizing Scale (PCS),Pain Self Efficacy Questionnaire（PSEQ）,Simplified Coping Style Questionnaire（SCSQ）in the pretest，protest and tracking test. Results: The time effect，group effect and time group interaction on the NRS,PCS,PSEQ scores of the two groups of female college students were all statistically significant ( F =12.83，21.77，13.65； 22.96，28.98，24.84；25.35，18.26，27.02， P < 0.01 ).Immediately after the intervention and 3 months after the intervention，the scores of SCSQ positive coping dimension of the experimental group（1.43±0.35，1.50±0.39）were significantly higher than those of the control group（1.22±0.19，1.20±0.21），and the scores of SCSQ negative coping dimension of the experimental group（1.59±0.38，1.52±0.49）were significantly lower than those of the control group（1.80±0.17，1.80±0.20）, the differences were all statistically significant ( P <0.05);There were statistical differences among time effect，group effect and timegroup interaction on the positive coping and negative coping scores of SCSQ ( F = 15.14 ， 4.29 ， 14.37 ；7.66，4.10，6.95， P <0.05). Conclusion Hypnotherapy intervention for female college students with primary dysmenorrhea can effectively alleviate pain degree，and improve the pain catastrophizing and coping styles,enhance their pain self efficacy. The hypnotherapy also shows long term effects.

Objective: To explore the improvement effect of hypnotherapy on dysmenorrhea symptoms of female college students with primary dysmenorrhea, in order to provide reference for the intervention and treatment of female college students with primary dysmenorrhea. Methods: From Septerber to December 2021, 90 female college students diagnosed with primary dysmenorrhea in Qinzhou First People s Hospital were randomly divided into hypnotic suggestion group( n =30), hypnotic relaxation group ( n =30) and control group( n =30). The 10 session hypnotic suggestion and 10 session hypnotic relaxation interventions were carried out while the control group received no intervention. Participants in the three groups were assessed by using the Visual Analogue Scale(VAS), Beck Depression Inventory Ⅱ(BDI Ⅱ), State Anxiety Inventory(SAI), Questionnaire of Quality of Life of College Students(QOLCS), Cox Dysmenorrhea Symptom Scale (CMSS) before and after intervention. Results: After intervention, the VAS, BDI Ⅱ and SAI scores of the hypnotic suggestion group and the hypnotic relaxation group significantly decreased compared to those before the intervention( t =7.04, 13.32, 3.58, 2.15, 2.52, 2.01, P <0.05). There were statistically significant differences in VAS, BDI Ⅱ and SAI scores among the three groups( F =24.71, 29.57, 6.60, P <0.01). After intervention, the QOLCS total score, physical, psychological and behavioral dimension scores in the hypnotic suggestion group and the hypnotic relaxation group significantly improved( t =-4.61, -3.36, -3.12, -2.81, -2.71, -2.19, -2.69, -2.28, P <0.05). There were statistically significant differences in QOLCS total score, physical, psychological, behavioral, environmental, and social support dimension scores among the three groups( F =10.36, 4.14, 5.14，4.81, 7.07, 5.53, P <0.05). After the intervention, the CMSS dysmenorrhea severity and dysmenorrhea duration scores in the hypnotic suggestion group and the hypnotic relaxation group were significantly lower than those before the intervention( t =5.66, 4.70, 3.09, 2.21, P <0.05). There were significant differences in CMSS dysmenorrhea severity and dysmenorrhea duration scores among the three groups( F=15.33, 12.33, P <0.05). Conclusion Hypnotherapy can help relieve pain of female college students with primary dysmenorrhea，improve depression and anxiety.

Objective To investigate the effect of hypnotherapy on test anxiety in high school students.Methods 21 students with test anxiety were treated with hypnotherapy(6 cases),relaxation therapy(7 cases),or no intervention(8 cases).Results The scores of Test Anxiety Scale(TAS) in subjects accepted hypnotherapy were the lowest among these groups,however,there was no significant difference in test scores.Conclusion Hypnotherapy can alleviate effectively test anxiety in high school students,but it may not work to enhance the test scores.