Objective To construct and validate a clinical prediction model for delayed extubation undergoing non-emergency major surgery based on the random forest algorithm.Methods Clinical data of 7 528 patients undergoing non-emergency major surgery under general anesthesia from January 2018 to De-cember 2022 were retrospectively collected.The patients were divided into two groups according to whether extubation was performed within 2 hours after surgery:non-delayed extubation group(≤2 hours)and de-layed extubation group(＞2 hours).All the patients were randomly divided into a training set and a valida-tion set in a ratio of 7 ∶ 3.The predictive factors for delayed extubation after surgery were screened through LASSO regression and Logistic regression.The random forest model was established and verified by random forest algorithm.Results There were 123 patients(1.6%)experienced delayed extubation after surgery.ASA physical status,department,intraoperative use of flurbiprofen ester,dexmedetomidine,glucocorticoid,hypocalcemia,severe anemia,intraoperative blood transfusion,and airway spasm were identified as inde-pendent predictive factors for delayed extubation.The area under curve(AUC)value of the random forest prediction model in the validation set was0.751(95%CI0.742-0.778),and the sensitivity was98.1%,and the specificity was 41.9%.Conclusion The predictive model of delayed extubation undergoing non-e-mergency major surgery based on random forest algorithm has a good predictive value,which may be helpful to prevent delayed extubation undergoing non-emergency major surgery.

OBJECTIVE To evaluate the comprehensive value of four first-line combination immunotherapy for unresectable hepatocellular carcinoma， and provide a reference for determining the optimal clinical treatment decision for unresectable hepatocellular carcinoma. METHODS R4.2 software was used for network meta-analysis to obtain the effect values of the efficacy and safety indicators of four combination therapies [atezolizumab combined with bevacizumab （AB）， sintilimab combined with bevacizumab biosimilars （SB）， camrelizumab combined with apatinib （CA）， durvalumab combined with tremelimumab （DT）]. Combined with the efficacy， safety and economic indicators， the categorical based evaluation technique （M-MACBETH） was used to establish the value tree. At the same time， the comprehensive value scores of four therapies were calculated， and sensitivity analysis was performed to evaluate the robustness. RESULTS In terms of prolonging median overall survival， the advantage order of the four therapies was ranked as SB， CA， AB and DT. In terms of extending median progression-free survival， the advantage order of the four therapies was CA， SB， AB and DT. In terms of safety， the order of advantages was DT， AB， SB and CA. In terms of economy， the order of advantages was CA， SB， AB and DT. The comprehensive scores of SB， CA， AB and DT were 67.11， 57.77， 52.53 and 42.59 points， respectively. The results of the sensitivity analysis showed that the ranking results of comprehensive value for four regimens were robust. CONCLUSIONS Among the four first-line immune combination therapies for unresectable hepatocellular carcinoma， SB is the optimal treatment regimen， followed by CA， AB and DT.

Purpose To investigate the effect of shortening the acquisition time of 18F-D6-AV133 PET/CT on image quality and diagnostic efficacy in Parkinson's disease.Materials and Methods A total of 51 participants(27 of Parkinson's disease,24 of healthy-controls)from the First Affiliated Hospital of Guangzhou Medical University from October 2021 to June 2022 were retrospectively selected.Images were obtained after the injection of the tracer 18F-D6-AV133(371.04±16.30)MBq for 60 min,with collection times of 10 min.Four sets of images were reconstructed using CT attenuation correction with acquisition times of 3,5,7 and 10 min.Semi-quantitative analysis was performed on the PET images,calculating the striatum-to-occipital lobe standardized uptake value ratio(SUVR).Two physicians independently conducted qualitative evaluations for each image group.The differences of SUVR and visual score results among four sets of images were performed.The optimal critical value of SUVR was obtained by analyzing the receiver operating characteristic curve of the subjects.Results The visual analysis of image quality had a strong consistency between the two doctors(ICC=0.853,P<0.001).The images with acquisition time of 5 min could reach the common quality level in clinical work,accounting for 78.4%(40/51).The semi-quantitative results of image quality showed that there was no significant difference between SUVR and diagnostic efficiency obtained by acquisition time 5 min and 10 min(Z=1.821,P=0.069),and the best critical value of the two groups was equal to 3.Therefore,properly shortening the acquisition time had no effect on the diagnosis of Parkinson's disease.Conclusion With the development and advancement of technical equipment,PET image quality is gradually improving and the scanning time is also gradually shortening.The acquisition time for 18F-D6-AV133 can be shortened from the conventional 10 min to 5 min.

The standardized use of interdisciplinary code classification system in the field of higher education management is critical to standardize talent cultivation and improve management efficiency. However, the phenomenon of "multiple codes for the same discipline" within interdisciplinary fields has complicated the standardized management of graduate students at colleges and universities. This paper focused on the cross-discipline of biomedical engineering, compared the status quo of the management of interdisciplinary codes in China and the United States of America, and analyzed the rules of cross-discipline management from the perspective of the development of the application of discipline codes. This study examined the causes of the multiple codes in the discipline of biomedical engineering and analyzed the complex situations of these codes in student recruitment, cultivation, and degree conferment. Additionally, the setting and management of biomedical engineering codes were preliminarily discussed. Measures for the improvement of the classification of interdisciplinary codes and new ideas for standardizing talent cultivation were proposed, with the purpose to enhance the capacity construction for medical education management.

Objective To investigate the effects of transcutaneous electrical acupoint stimulation at Neiguan combined with Danzhong on intraoperative remifentanil dosage and early postoperative pain in pa-tients undergoing radical mastectomy.Methods A total of 153 female patients undergoing radical mastecto-my under general anaesthesia aged 18-64 years,BMI 18.5-30.0 kg/m2 and ASA physical status Ⅰ or Ⅱwere enrolled.The patients were randomly assigned into three groups:single-acupoint(Neiguan)group,dual-acupoint(Neiguan and Danzhong)group and control group,51 patients in each group.TEAS for 30 minutes at different points(Neiguan combined with Danzhong for the dual-acupoint group,Neiguan for the single-acupoint group,no stimulation for the sham group)were given before anaesthesia induction.30 mi-nutes of disperse/dense stimulation of 2/10 Hz with an intensity of 4-11 mA was used.The consumption of remifentanil,time to recall and to extubation were recorded.The visual analogue scale(VAS)pain score in PACU and 24 hours after surgery,and patient satisfaction scores was recorded.Results The intra-operative remifentanil consumption in the dual-acupoint group was significantly less than groups single-acupoint and sham(P＜0.05).Patient satisfaction score 24 hours after surgery was significantly higher in the dual-acu-point group than those in groups single-acupoint and sham(P＜0.05).The VAS scores in PACU and 24 hours after surgery had no significantly differences among the three groups.Conclusion Compared with single-acupoint,stimulation at Neiguan combined with Danzhong in patients undergoing radical mastectomy induced stronger remifentanil-sparing effect and higher patients'satisfaction after radical mastectomy.

Objective To observe the clinical efficacy and safety of external application of Piyan Formula in treating epidermal growth factor receptor tyrosine kinase inhibitor(EGFR-TKIs)-related rashes.Methods Sixty cases of EGFR-TKIs-related rash patients were randomly allocated into either a treatment group or a control group.The treatment group received external application of Piyan Formula to the rash area twice daily for 14 days.The control group received external application of fucidic acid cream to the rash area twice daily for 14 days.Changes in rash grading,itching grading,quality of life scores and adverse event were observed and recorded in both groups.At the same time,levels of hypersensitive C-reactive protein,interleukin(IL)-6,and IL-1β were measured before treatment and 24 hours after treatment.Results After treatment,the rash severity,itching severity,and quality of life scores were notably lower in the treatment group compared to the control group(P<0.05).The levels of hypersensitive C-reactive protein,IL-6,and IL-1β exhibited a significant decrease compared to their pre-treatment values.(P<0.05).Compared with the control group,the levels of hypersensitive C-reactive protein,IL-6,and IL-1β decreased in the treatment group,with statistically significant differences(P<0.05).No adverse events related to Piyan Formula or fucidic acid cream occurred during the treatment process.Conclusion External application of Piyan Formula in treating EGFR-TKIs-related rashes shows significant clinical efficacy,can effectively reduce the levels of inflammatory factors,and has high safety,thus warranting clinical promotion.

ObjectiveTo evaluate the efficacy and influencing factors of Biejiajianwan in the treatment of primary liver cancer based on real-world data of traditional Chinese medicine （TCM）. MethodClinical diagnosis and treatment data of patients with primary liver cancer admitted to five Grade-A tertiary hospitals in Henan Province from January 2015 to December 2020 were collected from the medical electronic database. The patients treated with Biejiajianwan for ≥30 days were assigned to the exposure group and those without treatment with Biejiajianwan or treated with Biejiajianwan for <30 days to the non-exposure group. The propensity score matching model was used to balance confounding factors between the two groups according to the 1∶1 genetic matching method. Kaplan-Meier method was used for survival analysis and survival curve plotting. Log-rank was used to test the difference in survival rate between the two groups. Univariate analysis of Biejiajianwan in the treatment of primary liver cancer was performed by Log-rank test combined with the Kaplan-Meier method. The factors with statistical significance （P<0.05） were combined with unbalanced factors by the propensity score matching model， and at the same time， clinical common sense and relevant prognostic factors by literature search were considered， which were subjected to multivariate analysis by Cox proportional hazards regression model. ResultA total of 2 207 electronic cases were collected，including 174 cases in the exposure group （Biejiajianwan group） and 2 033 cases in the non-exposure group. After propensity score matching， there were 174 cases in the exposure group and 174 cases in the non-exposure group. The Kaplan-Meier method was used for survival analysis on the matched data， and the Log-rank test results showed that the survival rate of patients with primary liver cancer in the Biejiajianwan group was higher than that in the control group （χ²=12.193， P<0.01）. Cox proportional hazards regression model analysis showed that the regression coefficient of Biejiajianwan was -0.916 4 with the hazard ratio （HR） ［95% confidence interval （CI）］=0.4 （0.239 5-0.668 0）， P<0.01， and the regression coefficient of radiofrequency ablation treatment was -0.976 5 with HR （95% CI）=0.376 6 （0.172 8-0.821 1， P<0.05）. Fibrinogen （FIB） abnormal regression coefficient was 0.481 4 with HR （95% CI）=1.618 4（1.022 0-2.562 9），P<0.05. ConclusionBiejiajianwan can prolong the survival period of patients with primary liver cancer. Radiofrequency ablation is an independent protective factor for Biejiajianwan in the treatment of primary liver cancer，while abnormal FIB are independent risk factors for Biejiajianwan in the treatment of primary liver cancer.

Objective To explore the classification and characteristics of common syndromes of primary liver cancer and provide reference for clinical treatment.Methods Collect the four diagnostic information of patients with primary liver cancer from two top three TCM hospitals in Henan Province,and build a database.Using Lantern 5.0 software,based on two-step hidden tree analysis,a hidden structure model was constructed,and common syndromes of primary liver cancer were extracted through comprehensive clustering.SPSS 23.0 software was used for factor analysis and systematic cluster analysis to infer the potential syndromes.Combined with the results of different methods and professional knowledge,the syndrome classification of primary liver cancer was determined.Results A total of 1353 patients with 105 symptoms of primary liver cancer were included.59 symptoms with an analysis frequency≥40 were included to construct a hidden structure model,24 hidden variables were obtained,and 5 common syndromes were obtained by comprehensive clustering,namely,qi deficiency syndrome,liver depression and qi stagnation syndrome,blood stasis syndrome,water dampness stagnation syndrome,liver and gallbladder damp heat syndrome.20 common factors were obtained by factor analysis for symptoms with frequency>3%,and 8 common syndromes were inferred by cluster analysis with common factors.7 common syndromes and characteristics were finally determined by combining different methods and expertise.Conclusion The common syndromes of primary liver cancer are qi deficiency syndrome,liver depression and qi stagnation syndrome,blood stasis syndrome,water dampness stagnation syndrome,yin deficiency syndrome,liver and gallbladder damp heat syndrome,spleen deficiency and dampness stagnation syndrome.The results objectively reflect the actual situation of patients with primary liver cancer,and can provide reference for the treatment of primary liver cancer based on syndrome differentiation.

Based on the concept of empowerment theory and innovation behavior, this paper summarizes the status quo of the impact of empowerment theory on nurses′ innovative behavior, analyzes the essence and influencing factors of innovation behavior of nurses according to the elements of empowerment theory, analyze the empowerment theory and nurses′ individual innovation behavior scale, and puts forward the feedback mechanism of empowerment theory. In order to further improve the innovative behavior of nurses by applying the empowerment theory management mode, it is helpful for nursing managers to train nursing talents by using empowerment theory.

Objective:To investigate the clinical value of radiomics based on computed tomography (CT) examination in preoperative differential diagnosis of pancreatic serous cystadenoma (SCA) and mucinous cystadenoma (MCA).Methods:The retrospective case-control study was conducted. The clinicopathological and imaging data of 154 patients with pancreatic cystic neoplasms who were admitted to the First Affiliated Hospital, Zhejiang University School of Medicine from January 2012 to December 2019 were collected. There were 24 males and 130 females, aged (50±13)years. Of the 154 patients, 99 cases were diagnosed as SCA and 55 cases were diagnosed as MCA. All the 154 patients underwent plain and enhanced CT scan of pancreas before operation. The clinical characteristics, radiology features and radiomics features of all patients were collected to construct the clinical characteristics model, radiology model, radiomics model and fused model. The receiver operating characteristic (ROC) curve of each model was drawn, and those constructed models were evaluated by area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value and negative predictive value. Based on the optimal model, the nomogram was constructed. Observation indicators: (1) establishment and validation of clinical characteristics model; (2) establishment and validation of radiology model; (3) establishment and validation of radiomics model; (4) establishment and validation of fused model; (5) nomogram of fused model. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the Mann-Whitney U test. Count data were described as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. Results:(1) Establishment and validation of clinical characteristics model: 3 clinical characteristics, including age, symptoms and preoperative serum CA19-9, were selected using multinomial logistic linear regression analysis to construct the clinical characteristics model. Result of the multinomial logistic linear regression analysis was expressed by formula ①: clinical characteristics model score=0.635-0.007×age+0.054×clinical symptoms+0.108×preoperative serum CA19-9. The ROC curve for the test dataset of clinical characteristics model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of clinical characteristics model were 0.611(95% confidence interval as 0.488?0.734, P<0.05), 56.6%, 66.7%, 56.3%, 41.5%, 78.4% for the training dataset and 0.771(95% confidence interval as 0.624?0.919, P<0.05), 77.8%, 63.1%, 88.5%, 80.1%, 76.7% for the test dataset, respectively. (2) Establishment and validation of radiology model: 5 radiology characteristics, including tumor location, the number of tumors, tumor diameter of cross section, lobulated tumor and polycystic tumor (more than 6), were selected using multinomial logistic linear regression analysis to construct the radiology model. Result of the multinomial logistic linear regression analysis was expressed by formula ②: radiology model score=?0.034+0.300×tumor location+0.202×the number of tumors+0.014×tumor diameter of cross section?0.251×lobulated tumor?0.170×polycystic tumor (more than 6). The ROC curve for the test dataset of radiology model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of radiology model were 0.862(95% confidence interval as 0.791?0.932, P<0.05), 78.8%, 81.8%, 77.5%, 62.8%, 90.2% for the training dataset and 0.853(95% confidence interval as 0.713?0.994), P<0.05), 88.9%, 89.4%, 88.5%, 85.0%, 92.0% for the test dataset, respectively. (3) Establishment and validation of radiomics model: 4 categories of a total 1 067 radiomics features were extracted from 154 patients with pancreatic cystic neoplasms, including 7 first-order histogram features, 53 texture features, 848 wavelet features and 159 local binary pattern features. A total of 896 stable radiomics features were retained to construct the model, based on the condition of intraclass correlation coefficient >0.9. After selected by variance threshold and correlation coefficient threshold, 350 radiomics features were retained. Fifty synthetic radiomics features were constructed based on the original features in order to obtain potential radiomics features, and the total number of radiomics features was 400. After analyzed by the five-fold recursive feature elimination, 22 radiomics features were screened out, including 13 wavelet features, 7 synthetic radiomics features and 2 local binary pattern features. The support vector machine algorithm was used to construct the radiomics model. The penalty coefficient 'C' and parameter 'γ' of the radiomics model were 35.938 and 0.077, respectively. The kernel function of the radiomics model was 'radial basis function kernel'. The ROC curve of radiomics model using 5-fold cross validation was drawn. The average AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of the radiomics model were 0.870 ( P<0.05), 83.1%, 81.8%, 83.8%, 73.8% and 89.2%, respectively. (4) Establishment and validation of fused model: the fused model was constructed after selecting the tumor location and lobulated tumor of radiology characteristics and radiomics score. Result of the multinomial logistic linear regression analysis was expressed by formula ③: fused model socre=?0.154+0.218×tumor location?0.223×lobulated tumor+0.621×radiomics score. The ROC curve for the test dataset of fused model was drawn. The AUC, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of fused model were 0.893(95% confidence interval as 0.828?0.958, P<0.05), 83.7%, 81.8%, 84.5%, 71.1%, 90.9% for the training dataset and 0.966(95% confidence interval as 0.921?0.999, P<0.05), 91.1%, 84.2%, 96.2%, 94.1%, 89.3% for the test dataset, respectively. (5) Nomogram of fused model: the nomogram of fused model was illustrated with the Youden index of 0.416. Conclusion:The prediction model based on the radiomics signature and radiological features extracted from preoperative CT examination can make the differential diagnosis of pancreatic SCA from MCA.