Objective To develop and validate a safety assessment scale for early mobilization in lung transplant patients after surgery.Methods From September 2022 to April 2023,a preliminary scale was constructed using literature analysis,expert meetings,and the Delphi method.From June 2023 to May 2024,a convenience sampling was used to select 135 patients admitted to the lung transplant center of a tertiary general hospital in Jiangsu Province.Item analysis,reliability analysis,and validity analysis were applied to adjust the items,forming the final scale.Results The post-operative early mobilization safety assessment scale for lung transplant patients includes 5 dimensions(consciousness level,vital signs,disease-related factors,mobility,and nutritional status)and 18 items.The inter-rater reliability of the scale is 0.985;the overall content validity index is 0.853;the split-half reliability is 0.716.The area under the receiver operating characteristic curve for predicting adverse events within 72 hours of mobilization is 0.845,with a 95％confidence interval of 0.767 to 0.917(P＜0.001).The optimal cutoff value is 18.5,with a sensitivity of 0.735 and a specificity of 0.782.Conclusion The developed safety assessment scale for early mobilization in lung transplant patients after surgery demonstrates good reliability and validity,and it can serve as a clinical tool to assess the safety of early mobilization activities in these patients.

Objective To understand the current situation and influencing factors of delirium in lung transplant patients in the early postoperative period,and to construct and verify a risk prediction model.Methods The convenience sampling method was used to select patients who were admitted to a tertiary general hospital in Jiangsu Province for lung transplantation from June 2023 to November 2024.Lasso regression was used to screen variables,and logistic regression analysis was used to explore the influencing factors of early postoperative delirium in lung transplantation patients,and the risk prediction model was constructed and nomogram was drawn.The area under the working curve(AUC)of the subjects and the Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Internal validation of the model was performed by repeated sampling 1000 times using Bootstrap method.Results A total of 228 lung transplant patients were included in this study,of which 76 developed delirium in the early postoperative period,with an incidence of 33.33％.Age≥51.5 years,hypertension combined with diabetes mellitus,the Lung Allocation System(LAS)score ≥ 75.63,the duration of mean arterial pressure less than 70 mmHg≥ 12.50 min,intraoperative red blood cell transfusion≥750 ml,and midazolam dosage≥102.50 mg were the independent risk factors for early postoperative delirium in lung transplantation(P＜0.05).The AUC of the model was 0.771;the optimal cut-off value was 0.334;the sensitivity and specificity were both 0.724.The results of Hosmer-Lemeshow test showed that x2=5.677,P=0.683;the internal verification showed that the AUC of the model was 0.737,and the absolute error of the actual and predicted values of the calibration curve was 0.023,and the calibration curve was close to the ideal curve.Conclusion Age,hypertension combined with diabetes mellitus,LAS score,duration of mean arterial pressure less than 70 mmHg,amount of intraoperative red blood cell transfusion,and midazolam dosage are the influencing factors for early postoperative delirium in lung transplant patients.The risk prediction model constructed in this study has good predictive performance and can be used as a risk prediction tool for early postoperative delirium in lung transplant patients,helping to timely and accurately identify high-risk groups of delirium,helping to reduce the incidence of early postoperative delirium,and improve patient prognosis.

Objective To explore the effectiveness of an integrated laparoscopic simulation training course (best essential surgical technique training, BEST) in enhancing laparoscopic peritoneal suturing techniques in surgical residents.Methods As an integrated two-stage program, the BEST course applied basic laparoscopic training system with simple molds in phase Ⅰ training, and then adopted advanced laparoscopic training system, 3D Laparoscope and ex-vivo animal models in phase Ⅱ training. The laparoscopic suturing techniques were practiced in phase Ⅱ training. From August 2021 to July 2024, surgical residents in the second year of the national standardized training program were divided into pilot and control groups based on whether they had undergone the BEST course. Two cases of laparoscopic peritoneal suture were performed by the surgical residents under supervision in the department of gastrointestinal surgery. The operative time, quality of suture, and independent completion rate were compared between the two groups.Results A total of 33 surgical residents (19 in pilot group and 14 in control group) were included in this study, and a total of 66 cases of laparoscopic peritoneal suture were performed (38 in pilot group and 28 in control group). The operative time was significantly shorter in pilot group than that in control group (15.7 min vs. 17.5 min, P=0.025). The quality of suture was significantly better in pilot group compared to control group (P=0.023). In pilot group, all peritoneal sutures were performed by residents independently, whereas in control group, 3 cases (10.7%) were assisted by the supervisor, and the independent completion rate was different significantly (P=0.039).Conclusions The BEST course can help improve surgical residents′ laparoscopic peritoneal suturing techniques and could be promoted in the national standardized training program for surgical residents.

Objective To understand the current situation and influencing factors of delirium in lung transplant patients in the early postoperative period,and to construct and verify a risk prediction model.Methods The convenience sampling method was used to select patients who were admitted to a tertiary general hospital in Jiangsu Province for lung transplantation from June 2023 to November 2024.Lasso regression was used to screen variables,and logistic regression analysis was used to explore the influencing factors of early postoperative delirium in lung transplantation patients,and the risk prediction model was constructed and nomogram was drawn.The area under the working curve(AUC)of the subjects and the Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Internal validation of the model was performed by repeated sampling 1000 times using Bootstrap method.Results A total of 228 lung transplant patients were included in this study,of which 76 developed delirium in the early postoperative period,with an incidence of 33.33％.Age≥51.5 years,hypertension combined with diabetes mellitus,the Lung Allocation System(LAS)score ≥ 75.63,the duration of mean arterial pressure less than 70 mmHg≥ 12.50 min,intraoperative red blood cell transfusion≥750 ml,and midazolam dosage≥102.50 mg were the independent risk factors for early postoperative delirium in lung transplantation(P＜0.05).The AUC of the model was 0.771;the optimal cut-off value was 0.334;the sensitivity and specificity were both 0.724.The results of Hosmer-Lemeshow test showed that x2=5.677,P=0.683;the internal verification showed that the AUC of the model was 0.737,and the absolute error of the actual and predicted values of the calibration curve was 0.023,and the calibration curve was close to the ideal curve.Conclusion Age,hypertension combined with diabetes mellitus,LAS score,duration of mean arterial pressure less than 70 mmHg,amount of intraoperative red blood cell transfusion,and midazolam dosage are the influencing factors for early postoperative delirium in lung transplant patients.The risk prediction model constructed in this study has good predictive performance and can be used as a risk prediction tool for early postoperative delirium in lung transplant patients,helping to timely and accurately identify high-risk groups of delirium,helping to reduce the incidence of early postoperative delirium,and improve patient prognosis.

Objective To develop and validate a safety assessment scale for early mobilization in lung transplant patients after surgery.Methods From September 2022 to April 2023,a preliminary scale was constructed using literature analysis,expert meetings,and the Delphi method.From June 2023 to May 2024,a convenience sampling was used to select 135 patients admitted to the lung transplant center of a tertiary general hospital in Jiangsu Province.Item analysis,reliability analysis,and validity analysis were applied to adjust the items,forming the final scale.Results The post-operative early mobilization safety assessment scale for lung transplant patients includes 5 dimensions(consciousness level,vital signs,disease-related factors,mobility,and nutritional status)and 18 items.The inter-rater reliability of the scale is 0.985;the overall content validity index is 0.853;the split-half reliability is 0.716.The area under the receiver operating characteristic curve for predicting adverse events within 72 hours of mobilization is 0.845,with a 95％confidence interval of 0.767 to 0.917(P＜0.001).The optimal cutoff value is 18.5,with a sensitivity of 0.735 and a specificity of 0.782.Conclusion The developed safety assessment scale for early mobilization in lung transplant patients after surgery demonstrates good reliability and validity,and it can serve as a clinical tool to assess the safety of early mobilization activities in these patients.

Objective To analyze the epidemiological characteristics of population-based cohort of patients with the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes in Lingnan area,and to study the related influencing factors in the onset and progression of the disease. Methods A retrospective cohort study was used to collect data from people who underwent physical examination in the Eleventh People's Hospital of Guangzhou from May 2022 to December 2023. Data mainly included questionnaire surveys,physical examinations,and laboratory testing indicators. The 2022 was defined as the baseline to statistically analyze the occurrence and development of the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes in this population,and to analyze the related influencing factors of comorbidity and distribution of traditional Chinese medicine constitution in comorbidity population. Results Finally,a total of 26498 subjects were included,from which there were 359 patients with the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes (comorbidity group),accounting for 1.4％ of the total. Among them,290 were male,accounting for 80.8％,which is much higher than female. The mean age was(61.6±9.5)years old,which was significantly higher than that of the non-comorbidity group. The cases of comorbidity group were mainly concentrated in the age group of 45-75 years old,and no cases were found in people under 35 years old. There were 293 patients with the comorbidity of ischemic cardiovascular disease and type 2 diabetes,whose proportion (81.6％) is much higher than that of other types. Significant differences between comorbidity group and non-comorbidity group were found in terms of gender,age,age distribution,height,body mass,body mass index (BMI),smoking,alcohol consumption,marital status,exercise,and dampness syndrome (P<0.05). About 1.0％ of population at the baselined converted from non-comorbidities or single disease to comorbidities. The proportion of newly diagnosed patients with the comorbidity of ischemic cardiovascular disease and type 2 diabetes is the highest,up to 68.9％. BMI overweight or obesity,large waist circumference,smoking,dampness syndrome and exercise were the risk factors affecting the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes. A total of 264 cases of comorbidity group had finished evaluation of traditional Chinese medicine body constitutions. The proportion of balanced constitution was the highest (31.1％),followed by dampness-heat constitution (18.2％),yang-deficiency constitution (13.3％) and phlegm-dampness constitution (11.7％). Conclusion The incidence of the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes is high in Lingnan area,which may be related to dampness constitution,BMI overweight or obesity,large waist circumference,smoking,dampness syndrome and lack of exercise.

Objective To develop a symptoms assessment scale for lung transplant recipients in early postoperative period,and assess its reliability and validity so as to provide clinical staff with a tool to evaluate the symptoms in the patients in the early period after lung transplantation.Methods With a symptom experience model,a preliminary item pool was established through literature reviews,semi-structured interviews and expert panel meetings between December 2021 and January 2022.Based on the preliminary item pool,an initial scale was proposed after two rounds of expert consultation between February and March 2022.The initial scale was finalised after all items had revised for language expression based on the results of cognitive interviews conducted in March 2022.Subsequently,the final version of the scale was applied in the survey of 116 recipients of lung transplant in the early postoperative stage at Wuxi People's Hospital between April 2022 and February 2023.The reliability and validity of scale were then further tested.Results A total of 112 patients responded to the questionnaire survey.The developed scale comprised 5 dimensions:psychology-related symptoms,respiratory related symptoms,digestive related symptoms,circulatory related symptoms and other symptoms,with 18 symptom items in total.Content validity indexes of the Item-level content validity index(I-CVI))were 0.833 to 1.000 and the Scale-level content validity index(S-CVI)was at 0.954.Exploratory factor analysis revealed five common factors with a cumulative variance contribution rate of 82.366%.All the factors exhibited positive correlations with the scale,with the correlation coefficient at 0.760 to 0.837(P<0.01).The scale demonstrated a Cronbach α coefficient of 0.943,and the Cronbach α coefficients of the five common factors ranged from 0.869 to 0.941.Additionally,the scale exhibited a split-half reliability of 0.840,and the split-half reliability of the five common factors ranged from 0.830 to 0.937.Conclusions The symptoms assessment scale for lung transplant recipients in early postoperative period developed in this study exhibits good reliability and validity.It is feasible for evaluation of early symptoms in lung transplant recipients.

Objective:To conduct a scoping review of the characteristics, functions, risk of bias and applications of home-based self-management behavior assessment tools for lung transplant patients, so as to provide references for clinical medical staff to conduct further related research.Methods:The relevant literatures were systematically searched in China National Knowledge Infrastructure, Wanfang Database, VIP, China Biology Medicine disc, PubMed, Web of Science Core Collection, Embase, Cochrane Library and CINAHL databases. The search period was from the establishment of the databases to June 30, 2023. The scoping review method framework was used to screen the literature, extract information and standardize the report.Results:A total of 10 167 Chinese and English literatures were searched, and after deduplication and screening, 23 articles that met the criteria were finally included, involving 13 home-based self-management behavior assessment tools for lung transplant patients, including nine specific tools and four universal tools. There were eight kinds of lung transplantation patients whose reliability and validity were not verified. Of the 13 tools, those with single-dimensional assessments and single measures predominate. The level of home self-management behavior of lung transplant patients was reflected mainly through compliance, and medication management was the most frequently assessed content.Conclusions:At present, the measurement of home-based self-management behavior of lung transplant patients is mainly based on questionnaire surveys, and the evaluation tools are mostly single dimensional. The reliability and validity of most evaluation tools in the population of lung transplant patients are not yet clear, and there is a certain risk of bias. It is recommended that researchers pay attention to the reliability and validity verification report of the evaluation tool in the target population when selecting it, and integrate multiple measurement methods to reduce measurement errors.

Objective:To explore genes related to costimulatory molecule related to the prognosis of bladder cancer,and to construct and evaluate prognosis model based on costimulatory molecule-based signature(CMS).Methods:Gene expression matrix and clinical information of bladder cancer patients were downloaded from TCGA database and GEO database(GSE31684),and costimulatory molecule-related genes were retrieved from the literature.The univariate and multivariate Cox analysis were used to screened prognostic-related genes and constructed prognostic model.Forecast accuracy of model was verified in TCGA training group,TCGA validation data group and GEO group by Kaplan-Meier survival analysis and receiver operating characteristic curve(ROC).Considering risk score and clinical characteristics,we constructed a nomogram and evaluated its performance by consistency analysis and ROC.CIBERSORT algorithm was used to analyze immune cell composition of tumor microenvironment infiltration,and gene set enrichment analysis(GSEA)was performed to explore the potential mechanism.Results:Four prognostic-related CMSs were found:TNFRSF14,CD276,ICOS and TMIGD2,of which three were included in the risk score construction.Multivariate Cox regression results showed that the risk score based on CMS was an independent prognostic factor for bladder cancer patients.Consistency analysis and ROC results showed that the nomogram had ideal prognosis prediction accuracy.Immune infiltration analysis showed that the high risk group was likely to be in immunosuppressive state.GSEA results suggested that genes in high risk group were enriched in extracel-lular matrix(ECM)receptors interaction,cell cycle and other pathways.Conclusion:TNFRSF14,CD276 and ICOS may be potential prognostic biomarkers for bladder cancer patients.CMS-based risk score and nomogram could contribute to early prognosis and choice of personalized treatment.

Objective To investigate the feasibility and safety of transanal total mesorectal excision (TaTME) in re-operation for anastomosis recurrence rectal cancer. Methods Five patients with anastomosis recurrence rectal cancer underwent TaTME at Ruijin Hospital between April 2020 and December 2021 were retrospectively enrolled in this study. The peri-operative situation, pathological examination, and short-term follow-up results were analyzed. Results All cases were operated laparoscopic TaTME successfully. The operative time was (206.00±19.49) min without intraoperative complications. One case encountered incorrect dissection plane. Anastomotic leakage occurred in one case and anastomotic stenosis developed in another case. The specimens quality of mesorectum deemed complete in all cases without both positive circumferential resection margin and positive distal resection margin. There was (15.20±2.39) months of median follow-up and one case found defecation disorder. Tumor recurrence, metastasis and tumor-related death were not found. Conclusions For patients with anastomosis recurrence rectal cancer, laparoscopic TaTME procedure is novel type and would be safe and effective surgical approach with satisfactory short-term follow-up.