Objective To establish a classification tree model for non-alcoholic fatty liver disease(NAFLD)among aircrews,screen for influencing factors of NAFLD,so as to provide scientific basis for prevention and intervention decisions for NAFLD.Methods Aircrews who underwent recuperation at a sanatorium from January 2019 to December 2023 were selected as the research objects.Their annual physical examination data were collected and the NAFLD detection rate was calculated.Age,body mass index(BMI),blood pressure,waist circumference,blood routine,biochemistry indexes,and thyroid function were incorporated,and a NAFLD risk model was constructed using classification regression tree method.The predictive performance of the NAFLD classification tree model was evaluated through model misclassification matrix,risk statistics,and receiver operating characteristic curve.Results A total of 4088 aircrews were included in the study,and NAFLD was detected in 380 persons(380/4088,9.30%).The NAFLD model consisted of three layers,and five explanatory variables affecting the onset of NAFLD were extracted,including BMI,triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),alanine aminotransferase(ALT),and total bilirubin(TBIL).BMI was located at the top of the classification tree and was the most important risk factor for NAFLD in aircrews.The area under the curve(AUC)of the model was 0.853.The predictive accuracy of NAFLD was 90.9%,indicating that the model has good accuracy and fitting effect.Conclusion In this study,the detection rate of NAFLD in aircrews was 9.30%.BMI,TG,HDL-C,ALT,and TBIL are risk factors for the onset of NAFLD.NAFLD is mainly related to weight gain and lipid metabolism disorders caused by unhealthy lifestyles.

Objective:To explore the activation characteristics and synergistic mode of lumbar and abdominal core muscle group during abdominal breathing training.Method:Thirty-two healthy college students were recruited and randomly divided into the control group and the experimental group with 16 cases in each group.The control group received stan-pile training,while the experimental group received abdominal breathing and stan-pile training 5 times a week for 8 weeks.The sur-face electromyography of the lumbar and abdominal core muscles was collected before and after the interven-tion.Non-negative matrix factorization(NMF)was used to extract extract muscle synergy patterns from the EMG data.Result:In terms of cooperative elements,the number of cooperative elements increased after intervention in both groups compared with baseline,but there was no significant difference in the number of cooperative ele-ments between the two groups before intervention(P>0.05),and there was a significant difference in the num-ber of cooperative elements after intervention(P<0.05).In terms of cooperative patterns,the cooperative pat-terns before intervention in the two groups were similar.After intervention,the cooperative patterns in the two groups were different,the control group showed coactivation of the right transversus abdominis,left internal oblique,right erector spinae,and bilateral multifidus throughout the breathing cycle.In contrast,the experimen-tal group exhibited pronounced activation of bilateral erector spinae and multifidus during inhalation,and bilater-al transversus abdominis,left external oblique,and left erector spinae during exhalation.The activation curves before intervention in the two groups were similar,and the activation curves after intervention in the two groups trended towards slowing down,with the time feature of the activation curve in the experimental group being more obvious.Conclusion:Abdominal breathing training can increase the number of cooperative tuples of the waist and abdo-men muscles,and the muscles perform efficient division of labor after training to form an adaptive coopera-tive mode.

Objective:To explore the activation characteristics and synergistic mode of lumbar and abdominal core muscle group during abdominal breathing training.Method:Thirty-two healthy college students were recruited and randomly divided into the control group and the experimental group with 16 cases in each group.The control group received stan-pile training,while the experimental group received abdominal breathing and stan-pile training 5 times a week for 8 weeks.The sur-face electromyography of the lumbar and abdominal core muscles was collected before and after the interven-tion.Non-negative matrix factorization(NMF)was used to extract extract muscle synergy patterns from the EMG data.Result:In terms of cooperative elements,the number of cooperative elements increased after intervention in both groups compared with baseline,but there was no significant difference in the number of cooperative ele-ments between the two groups before intervention(P>0.05),and there was a significant difference in the num-ber of cooperative elements after intervention(P<0.05).In terms of cooperative patterns,the cooperative pat-terns before intervention in the two groups were similar.After intervention,the cooperative patterns in the two groups were different,the control group showed coactivation of the right transversus abdominis,left internal oblique,right erector spinae,and bilateral multifidus throughout the breathing cycle.In contrast,the experimen-tal group exhibited pronounced activation of bilateral erector spinae and multifidus during inhalation,and bilater-al transversus abdominis,left external oblique,and left erector spinae during exhalation.The activation curves before intervention in the two groups were similar,and the activation curves after intervention in the two groups trended towards slowing down,with the time feature of the activation curve in the experimental group being more obvious.Conclusion:Abdominal breathing training can increase the number of cooperative tuples of the waist and abdo-men muscles,and the muscles perform efficient division of labor after training to form an adaptive coopera-tive mode.

Objective:To provide references for the health management of thyroid nodules in naval flying personnel by analyzing the ultrasound characteristics of naval flying personnel with thyroid nodules.Methods:A total of 306 naval flying personnel, who were diagnosed as thyroid nodules in yearly health examination in the Third Sanatorium of Air Force Healthcare Center for Special Services Hangzhou from January of 2019 to December of 2021, were selected as the research subjects. They were divided into 3 groups by age (20-29 years, 30-39 years, ≥40 years), 2 groups by flying hours (<3 000 h, ≥3 000 h) and 3 groups by aircraft types (helicopter, transporter, fighter). The characteristics of thyroid nodule ultrasound images were retrospectively analyzed and the size, quantity and classification which defined in Chinese-thyroid imaging reporting and data system (C-TIRADS) of thyroid nodule were compared among the groups of different ages, flying hours, and aircraft types.Results:Among 306 naval flying personnel with thyroid noedules, 280 cases (91.50%) were small nodules (diameter <1 cm), 26 cases (8.50%) were large nodules (diameter ≥1 cm). One hundred and fifty-one cases (49.35%) were single nodules and 155 cases (50.65%) were multiple nodules. There were 135 cases (44.12%) with C-TIRADS grade 2 thyroid nodules, 158 cases (51.63%) with C-TIRADS grade 3 nodules, and 13 cases (4.25%) with C-TIRADS grade 4 nodules. There were significant differences in the size, number, classification of composition ratio of thyroid nodules among different age groups ( χ2=8.86, 5.94, 46.20, P=0.013, 0.051,<0.001). There were significant differences in the size and classification of composition ratio of thyroid nodules between different flying hours groups ( χ2=16.91, 24.35, both P<0.001). The proportion of C-TIRADS grade 4 nodules in the flying hours ≥3 000 h group was higher than that in the <3 000 h group, with a significant difference ( χ2=4.77, P=0.029).There were no significant differences in the size, number, classification of composition ratio of thyroid nodules among different aircraft types groups (all P>0.05). Conclusions:Age and flying hours have effects on size and classification of composition ratio of thyroid nodules in flying personnel, and age also has the effect on quantity. A scientific and systematic follow-up mechanism would be helpful to assess the risk of thyroid cancer and give early warning for the timely intervention.

Objective: To construct and validate a prognosis model related to ferroptosis in urinary tract tumors using bioinformatics methods. Methods: RNA-seq and clinical data from TCGA′s BLCA and KIRC datasets were analyzed to establish the prognostic model, and then were validated using ICGC and GEO data. Prognostic genes associated with ferroptosis were identified through univariate Cox, LASSO-Cox, and multivariate Cox regression analyses. Co-expression and protein-protein interaction(PPI) network analyses determined the relationships among these genes. Immune infiltration analysis explored the association between ferroptosis-related prognostic genes and the immune microenvironment. Functional enrichment analysis of differentially expressed genes between high and low-risk groups in BLCA and KIRC prognostic models was conducted to investigate potential mechanisms by which ferroptosis-related genes regulate BLCA and KIRC prognosis. Results: Significant prognostic gene signatures associated with ferroptosis were identified in BLCA and KIRC. For BLCA, the genes EGR1, ZEB1, P4HB, WWTR1, JUN, CDO1,SCD,SREBF1,CAV1, and GALNT14 were significant. For KIRC, the genes ASMTL-AS1, CHAC1,MT1G, RRM2, TIMP1, DPEP1, GLRX5, and NDRG1 were significant. Ferroptosis-related miRNAs linked to the prognosis of both cancers were also identified. The constructed risk models based on these genes and miRNAs predicted patient prognosis in TCGA-BLCA and KIRC, with low-risk groups showing significantly higher overall survival(P<0.05). The hazard ratios for these models ranged from 2.54(95%CI: 1.73-3.74) to 4.74(95%CI: 3.47-6.47), with AUC values above 0.60. Co-expression analysis and PPI networks revealed high correlation levels between JUN and EGR1 in BLAC and between SCD and SREBF1. Immune infiltration analysis indicated positive correlations between EGR1, CAV1, JUN, and immune scores, while SREBF1 showed a negative correlation. Conclusion The prognosis model based on ferroptosis-related genes effectively predicts patient outcomes in BLCA and KIRC. This model can serve as a reference for targeting ferroptosis to assess the prognosis of BLCA and KIRC patients.

National regional medical center is a major measure to balance the distribution of high-quality medical resources.The construction of a large number of national regional medical centres in Jiangxi Province,with accurate disease selection,frequent consultation and scheduling,and rapid ideological unity.However,from the perspectives of interest groups such as the government,exporting hospitals,and dependent hospitals,there are still problems such as unclear top-level design,insufficient power of export and dependent hospitals.It is necessary to accelerate and improve the coordination mechanism,clarify the rights and responsibilities of the three parties,improve the evaluation and special shift system,optimize the green channel,strengthen the power of export hospitals,support the dislocation development of dependent hospitals,and create a sustainable model of bilateral cooperation and self-development of project hospitals.

Objective:To investigate the prognostic factors for all-cause mortality in patients with muscle-invasive bladder cancer(MIBC)with intermediate-to-high-risk primary prostate cancer.Methods:From January 2012 to October 2023,the clinical data of the patients with MIBC with intermediate-to-high-risk primary prostate cancer in Peking University Third Hospital were retrospectively analyzed.All the patients were monitored and the occurrence of all-cause death was documented as the outcome event in the prognostic study.Univariate and multivariate Cox proportional risk regression analysis models were implemented to search for independent influences on the prognosis of patients.For significant influencing factors(pathological T stage,M stage and perineural invasion of bladder cancer),survival curves were plotted before and after multifactorial Cox regression adjusting for confounding factors.Results:A total of 32 patients were included in this study.The mean age was(72.5±6.6)years;the median preoperative total prostate specific antigen(tPSA)was 6.68(2.47,6.84)μg/L;the mean preoperative creatinine was(95±36)μmol/L,and the median survival time was 65 months.The majority of the patients(87.5％)had high-grade bladder cancer,53.1％had lymphatic invasion,and 31.3％had perineural invasion.Prostate involvement was observed in 25.0％of the cases,and the positive rate of soft-tissue surgical margin was 37.5％.Multivariate Cox analysis revealed that preoperative creatinine level(HR=1.02,95％CI:1.01-1.04),pathological stage of bladder cancer T3(HR=11.58,95％CI:1.38-97.36)and T4(HR=19.53,95％CI:4.26-89.52)metastasis of bladder cancer(HR=9.44,95％CI:1.26-70.49)and perineural invasion of bladder cancer(HR=6.26,95％CI:1.39-28.27)were independent prognostic factors(P＜0.05).Survival curves with Log-rank test after adjusting for confounding factors demonstrated that bladder cancer pathology T3,T4,M1,and perineural invasion were unfavorable factors affecting the patients'survival prognosis(P＜0.05).Conclusion:Patients with MIBC with intermediate-to-high risk primary prostate cancer generally portends a poor prognosis.High preoperative serum creatinine,T3 or T4 pathological stage of bladder cancer,metastasis of bladder cancer and bladder cancer perineural invasion are poor prognostic factors for patients with MIBC with intermediate-to-high risk primary prostate cancer.

Fluorescence imaging technology was initially used for liver reserve function assessment and sentinel lymph node biopsy in breast cancer.Subsequently,its application across various fields of oncologic surgery has gained widespread recognition.Fluorescence laparoscopy combines the advantages of fluorescence imaging and minimally invasive techniques,demonstrating significant research value and promising application prospects in the auxiliary diagnosis and treatment of colorectal cancer(CRC).In laparoscopic CRC surgery,indocyanine green-near infrared imaging technology enhances the visualization of tumor lesions,facilitates lymph node tracing,and assesses anastomotic blood supply.In recent years,fluorescence laparoscopy has developed rapidly but remains in the exploratory stage.Minimally invasive surgical experts at home and abroad have summarized existing clinical experiences and developed a series of expert consensus guidelines for laparoscopic colorectal surgery.However,there is still no fully standardized protocol regarding indocyanine green dosage,concentration,administration method and timing,injection site,and learning curve.Therefore,further multicenter,large-scale clinical trials are needed to establish consistent guidelines,promoting the standardized and widespread application of this technology in disease diagnosis and treatment.Here,the authors introduce the development background,application progress,technical debates,and future prospects of fluorescence laparoscopy in colorectal surgery.

Background and purpose:With the aging population,the number of elderly patients with colorectal cancer(CRC)is increasing.To date,elderly patients with stage Ⅱ CRC often receive a weakened chemotherapy regimen or even no chemotherapy after radical surgery,and It is still unclear whether this will lead to adverse oncological outcomes.This study aimed to explore the prognostic impact of advanced age on stage Ⅱ CRC patients after removing bias through a multivariate COX regression approach.Methods:We retrospectively collected data of 3314 colorectal cancer patients with postoperative pathology of stage Ⅱ,no history of previous tumors,no secondary primary tumors within 5 years after surgery and no preoperative neoadjuvant therapy.This study was reviewed by the medical ethics committee of Fudan University Shanghai Cancer Center(ethics number:050432-4-2108*).The optimal threshold for calculating age relative to survival using survminer package of R software(version 3.0)(surv_cutpoint algorithm)was 73 years.We compared the clinical and pathological characteristics,overall survival(OS)and disease-free survival(DFS)between the older group(age＞73 years)and the younger group(age≤73 years).The alignment diagram prediction model was drawn using the survival package and RMS package.Results:The elderly and non-elderly groups were evenly comparable in terms of gender,tumor location,differentiation,vascular invasion,perineural invasion and pT stage.Multivariate COX regression showed that advanced age was an independent prognostic risk factor for OS[hazard ratio(HR)=3.725(3.051-4.549),P＜0.001]and DFS[HR=2.431(2.029-2.912),P＜0.001].The nomogram(alignment diagram)prediction model constructed based on multivariate COX regression could effectively evaluate the prognosis of stage Ⅱ CRC patients and provide guidance for practical clinical work.Conclusion:In stage Ⅱ CRC patients,older age is associated with shorter OS and DFS.Adequate intensity of adjuvant chemotherapy may be necessary.Treatment decisions can be adjusted based on the predicted model scores of the patient's alignment diagram.

Background and purpose:According to current consensus,adverse high-risk pathological features are only associated with adjuvant therapy for stage Ⅱ colorectal cancer(CRC).As important prognostic factors,we further explored the possibility of identifying patients with potential recurrence and poor prognosis based on these incorporating high-risk pathological features.Methods:This is a cohort study.A retrospective analysis was conducted on clinical data of CRC patients who underwent surgical treatment at the Second Department of Colorectal Surgery,Fudan University Affiliated Shanghai Cancer Center from 2008 to 2018.This study was approved by the Ethics Committee of the Fudan University Shanghai Cancer Center(approval No.:050432-4-2108*),and the study complies with the Declaration of Helsinki.A total of 9875 patients were enrolled,including 5859 males and 4016 females,aged[M(IQR)]60(16)years(range:16 to 94).Median follow-up time was 1779.0 days[95%CI:1750.1-1807.9].We used the Kaplan-Meier method to plot survival curves for different groups.Cox multivariate analysis was used to identify independent risk factors for 5-year overall survival(OS),disease-free survival(DFS)and recurrence-free survival(RFS).Finally,a column chart model was constructed to evaluate and stratify patient prognosis.The Strengthening the Reporting of Observational Studies in Epidemiology(STROBE)checklist was followed for this cohort study.Results:According to the number of incorporating high-risk pathological features,patients were divided into five groups:Hr_0 group(0 incorporating high-risk pathological feature),Hr_1 group(1 incorporating high-risk pathological feature),Hr_2 group(2 incorporating high-risk pathological features),Hr_3 group(3 incorporating high-risk pathological features),and Hr_4 group(4 or more incorporating high-risk pathological features).The Kaplan-Meier survival curve results indicated significant differences in OS,DFS and RFS among different groups(all P<0.001).Subgroup analysis was conducted on stage Ⅱ colorectal cancer,and the survival curves of OS,DFS and RFS in different Hr groups overlapped with each other.Compared to the overall population,the survival differences in different groups were significantly reduced,indicating that stage Ⅱ colon cancer patients with incorporating high-risk pathological features may benefit from adjuvant chemotherapy.The independent prognostic factors for RFS included age,pT stage,pN stage and Hr group.The survival curves of OS,DFS and RFS indicated that the prognosis of Hr_4 group was significantly worse than that of stage Ⅲc patients;5.2%and 14.1%of stage Ⅰ and Ⅱ patients had two or more incorporating high-risk pathological features(Hr group≥2),respectively.Finally,a column chart model was constructed by incorporating the independent prognostic risk factors for CRC mentioned above.The calibration curve showed a good consistency between the actual observations and the predictions made by the nomogram,and the decision curve analysis(DCA)indicated that the model constructed in this study had good efficacy in stratifying recurrence.Conclusion:The number of incorporating high-risk pathological features is an independent prognostic factor for RFS in patients with stage Ⅰ-ⅢCRC.Combining it as a multiclass variable with age,pT and pN stage has good prognostic stratification and recurrence stratification efficacy,which is expected to guide clinical treatment.