Objective To study the five-year survival status and influencing factors of elderly patients with lung cancer complicated with chronic obstructive pulmonary disease (COPD). Methods A cohort study was conducted to follow up 450 patients with lung cancer and chronic obstructive pulmonary disease who were hospitalized in our hospital from January 2018 to December 2023. The endpoint of the follow-up was the end of a five-year period or death. The Life Tables method was used to calculate survival rates and plot survival curves. The Cox proportional hazards model was used to analyze the influencing factors of five-year survival. Results The results indicated that the overall five-year survival rate of patients was 4.89%, and it decreased year by year. Cox regression analysis showed that age, gender, family functioning, and psychological status significantly influenced patient survival rate (all P<0.05). Stratified analysis found that the smoking status, family functioning, and psychological status of male patients all had an impact on survival rate (all P<0.05), while the psychological status of female patients had a more significant impact on survival (P=0.008). Conclusion This study provides a scientific basis for comprehensive intervention of elderly lung cancer patients with COPD. It is recommended that clinical attention should be paid to psychological and family factors to improve patient prognosis.

Objective To evaluate the efficacy and safety of modified pelvic floor reconstruction in non-nerve-sparing robot-assisted radical prostatectomy (NNS RARP) for improving postoperative urinary control. Methods A retrospective analysis was conducted on the clinical data of 79 prostate cancer patients who underwent NNS RARP at Tangdu Hospital during Jan.2020 and Dec.2023, including 29 in the reconstruction group, and 50 in the non-reconstruction group. The baseline characteristics including age, body mass index, prostate-specific antigen (PSA) level, clinical stage, prostate volume, and biopsy Gleason score, and perioperative indexes including operation time, intraoperative blood loss, catheter indwelling time, complication rate, and positive rate of surgical margins were compared between the two groups. Additionally, urinary continence function was assessed before operation and 1,3,6, and 12 months after operation using the international consultation on incontinence questionnaire-short form (ICIQ-SF) and the incontinence quality of life questionnaire score (I-QoL). Results No statistically significant differences were observed in the baseline characteristics between the two groups (P>0.05). The operation time was significantly longer in the reconstruction group than in the non-reconstruction group [ (110.24±15.08) min vs. (101.80±9.89) min, P=0.010]. There were no significant differences in intraoperative blood loss, catheter indwelling time, complication rate, and positive rate of surgical margins between the two groups (P>0.05). The reconstruction group demonstrated significantly lower ICIQ-SF scores at 1 month [ (10.17±2.16) vs. (11.56±1.66), P=0.002],3 months [ (7.62±1.29) vs. (9.52±1.80), P<0.001], and 6 months postoperatively [ (4.93±1.22) vs. (6.18± 1.67), P=0.001]compared to the non-reconstruction group (adjusted P<0.0125). Conversely, the I-QoL scores were significantly higher in the reconstruction group at 1 month [ (73.32±10.30) vs. (63.88±9.55), P<0.001]and 3 months postoperatively [ (78.91±4.82) vs. (75.66±5.17), P=0.007] (adjusted P<0.0125). However, no significant differences were found in ICIQ-SF or I-QoL scores between the two groups preoperatively and 12 months postoperatively (adjusted P>0.0125). Conclusion The application of modified pelvic floor reconstruction technique in NNS RARP is safe and feasible. Although it slightly prolongs the operation time, it does not increase surgical risks; instead, it effectively promotes early recovery of postoperative urinary continence, thereby significantly enhancing patients'quality of life.

Renal tumor scoring systems can describe the anatomical characteristics of renal tumors. It is an important standard to evaluate the surgical complexity and to evaluate the surgical complexity and feasibility of partial nephrectomy. Scholars at home and abroad have established various scoring systems based on different anatomical parameters，such as R.E.N.A.L.，PADUA，C-Index，which are used to guide the clinical selection of surgical modalities，and predict perioperative complications and prognosis. In this paper，various scoring systems are grouped into three major categories according to their functions：prediction of surgical complexity，prediction of complications，and prediction of prognosis. The contents，characteristics and clinical application value of various renal tumor scoring systems are introduced in detail to guide urologists，enhance their surgical decision-making ability，and improve the clinical outcomes.

Objective To investigate the epidemiological characteristics and risk factors of non-alcoholic fatty liver disease in Jincheng between 2015 and 2020. Methods Clinical data of 8,578 medical check-ups at Physical Examination Center of ou hospital from January 2015 to December 2020 were retrospectively selected. The prevalence of non-alcoholic fatty liver disease in the last 5 years was recorded, and Logistic regression was utilized to identify the risk factors for the development of non-alcoholic fatty liver disease. Results The overall prevalence of non-alcoholic fatty liver disease in Jincheng was 14.57% in 2015-2020. The prevalence of non-alcoholic fatty liver disease was higher in men than in women (16.99% vs 10.98%) and highest in the 40-59 age group (18.76%). No statistical difference was reported in blood urea nitrogen (BUN) and serum creatinine (Scr) between groups (P>0.05), while statistical difference was found in diabetes, hypertension, body mass index (BMI), waist circumference, weekly exercise frequency, daily vegetable intake, triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), alanine aminotransferase (ALT) and uric acid (UA) between two groups (P<0.05). Multivariate Logistic regression analysis denoted that BMI (OR=2.794, 95% CI: 1.745-4.550), waist circumference (OR=2.586, 95% CI: 1.585-4.299), diabetes (OR=0.644, 95% CI: 1.425-2.781), hypertension (OR=1.479, 95% CI: 1.121-2.290), weekly exercise ≥6h (OR=0.617, 95% CI: 0.519-0.709), daily vegetable intake ≥300g (OR=0.590, 95% CI: 0.467-0.652), TG (OR=1.481, 95% CI: 1.122-1.996), TC (OR=1.562, 95% CI:1.143-2.135), LDL-C (OR=1.440, 95% CI: 1.139-2.048), HDL-C (OR=0.656 , 95% CI: 0.587-0.783) , ALT (OR=1.591, 95% CI: 1.056-2.183), and UA (OR=1.412, 95% CI: 1.009-1.887) were risk factors for non-alcoholic fatty liver disease (P<0.05) . Conclusion The prevalence of non-alcoholic fatty liver disease in Jincheng City from 2015 to 2020 is 14.57%, the prevalence of males is higher than that of females, and the prevalence rate is the highest in the 40-59 age group. Moreover , diabetes mellitus , hypertension , BMI , waist circumference , weekly exercise , daily vegetable intake , serum TG, TC, LDL-C, HDL-C, ALT, and UA are all associated with the risk of the disease.

Objective To develop models for predicting response to chemotherapy combined with immunotherapy in patients with esophageal squamous carcinoma with various machine learning algorithms,and then select the optimal model.Methods A retrospective study was performed for 174 patients with esophageal squamous cell carcinoma undergoing chemotherapy combined with immunotherapy admitted in Department of Thoracic Surgery of the First Affiliated Hospital of Army Medical University from January 2022 to December 2023.The CT scans and clinical information were collected before treatment.They were randomly divided into a training set(n=122)and a testing set(n=52)in a ratio of 7∶3.CT radiomic features were extracted and selected,and then 5 machine-learning algorithms were employed to establish the prediction models,including radiomics model and clinical-radiomics model.Five-fold cross-validation was conducted on the training set,and the performance of the prediction models was evaluated on the testing set using receiver operating characteristic(ROC)curve and the F1 score.The best-performing model was further explained using local interpretable model-agnostic explanations(LIME)algorithm.Results Among the 174 patients,115(66.1%)achieved clinical remission.From the clinical information and CT images,1 clinical features and 10 radiomic features were identified.The area under of ROC curve(AUC)for the radiomics and clinical-radiomics models was 0.750(95%CI:0.616～0.883),and 0.766(95%CI:0.637～0.895),respectively.The F1 score of the optimal clinical-radiomics model was 0.829.LIME algorithm indicated that this best model demonstrated reliability in predicting individual samples.Conclusion The clinical-radiomics prediction model based on machine learning algorithm performs well,and can provide a reference for doctors'clinical decision-making by predicting the response to chemotherapy combined with immunotherapy in patients with esophageal squamous cell carcinoma.

Objective:To investigate the value of a cross-combination machine learning approach in constructing a PET radiomics score (RadScore) for predicting early treatment response and prognosis in patients with primary gastrointestinal diffuse large B-cell lymphoma (PGI-DLBCL).Methods:This retrospective cohort study was conducted on 108 patients (59 males and 49 females, age (55.6±12.1) years) diagnosed with PGI-DLBCL between November 2016 and December 2021 at Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University ( n=85) and West China Hospital, Sichuan University ( n=23). Patients were divided into a training set ( n=86) and a validation set ( n=22) with the ratio of 8∶2 using stratified random sampling method. Seven machine learning models were employed to generate 49 feature selection-classification candidates, and the optimal candidate was selected to construct the RadScore, with five-fold cross-validation applied to determine the best-performing model. Logistic regression analysis was performed to identify risk factors for early treatment response, and a radiomics nomogram was developed by integrating RadScore with clinical predictors. Survival results between different groups of RadScore was compared by log-rank test. Results:Nineteen predictive features were selected from 111 radiomic features to construct the RadScore. In the training set, lactate dehydrogenase (LDH) (odds ratio ( OR)=3.53, 95% CI: 1.21-10.31, P=0.021), intestinal involvement ( OR=3.04, 95% CI: 1.04-8.88, P=0.042), total lesion glycolysis (TLG; OR=6.73, 95% CI: 2.23-20.29, P<0.001) and RadScore ( OR=15.11, 95% CI: 3.95-57.80, P<0.001) were identified as independent risk factors for predicting early treatment response. The combined model integrating RadScore, LDH, intestinal involvement, and TLG demonstrated good discriminatory ability for early treatment response (AUC=0.860 in the training set; AUC=0.902 in the validation set). Significant differences were observed in progression-free survival (PFS) and overall survival (OS) between different RadScore groups ( χ2 values: 13.92 and 8.56, both P<0.01). Conclusions:The machine learning-based RadScore may effectively predict survival outcomes in patients with PGI-DLBCL. The combined model integrating RadScore, clinical factors, and metabolic indicators can predict early treatment response in PGI-DLBCL patients.

Objective To evaluate the impact of traditional Chinese medicine(TCM)syndromes on percutaneous microwave ablation(MWA)treatment in patients with colorectal cancer liver metastases(CRLM)and to construct a multidimensional prediction model prognostic based on TCM syndrome classification.Methods Clinical data were collected from 86 CRLM patients who underwent MWA at Zhongshan Hospital of Traditional Chinese Medicine between October 2012 and October 2023.The clinical information covered TCM syndrome types of qi-blood deficiency and spleen-kidney yang deficiency,tumor characteristics,and treatment parameters.Logistic regression was used to screen feature variables for constructing the prognostic predication model,and cross validation was performed to evaluate the prognostic predictive performance.Results(1)Among the 86 CRLM patients,31(36.05%)had spleen-kidney yang deficiency syndrome,while 55(63.95%)had qi-blood deficiency syndrome.(2)Compared to the patients with spleen-kidney yang deficiency syndrome,patients with qi-blood deficiency syndrome exhibited significantly long progression-free survival(PFS)and high progression-free survival rate(P＜0.01),while no significant differences were presented in the incidences of postoperative adverse events such as pain,fever,infection,liver function impairment,or ascites/pleural effusion among the patients with the two syndrome types(P＞0.05).(3)Multivariate logistic regression analysis revealed that TCM syndrome type,maximum diameter of metastatic liver tumor,timing of liver metastasis,and Ki-67 expression rate of primary tumors were the independent prognostic factors for 1-year PFS(P＜0.05 or P＜0.01).(4)The constructed model demonstrated high predictive accuracy for PFS,with an area under the receiver operating characteristic(ROC)curve(AUC)of 0.905(95%CI:0.830-0.980).Conclusion TCM syndromes have significant influence on the prognosis of CRLM patients undergoing MWA,and the patients with qi-blood deficiency syndrome have favorable prognosis.This study pioneers a multidimensional prognostic prediction model integrating TCM syndromes for MWA-treated CRLM patients,highlighting the unique value of TCM syndromes in assessing disease progression and predicting prognosis.

Objective To investigate the effects and potential mechanism of tuina on pain and depressive behaviors in rats with neuropathic pain(NP).Methods A total of 102 SD rats were randomly divided into blank group,sham-operation group,model group,tuina group,inhibitor group and inhibitor+tuina group,with 17 rats in each group.The NP model was established by chronic constriction injury of the sciatic nerve.Starting from the 8th day post-operation,the rats underwent a 14-day tuina intervention and stereotactic injection of the SIRT1 inhibitor EX-527(20 μg/μL,0.5 μL)into the hippocampal CA1 region.Pain behaviors were assessed using the mechanical withdrawal threshold test one day before operation and on days 7,14 and 21 post-operation.Depressive behaviors were evaluated using the forced swimming test and sucrose preference test.Nissl staining was employed to observe neuronal morphology and quantity in the hippocampal tissue,while Golgi staining was used to examine dendritic spine density,hippocampal expression of SIRT1/BDNF/TrkB signaling pathway related protein and mRNA were analyzed using immunofluorescence,Western blot and RT-qPCR.Results Compared with the sham-operation group,the model group showed a significant decrease in mechanical withdrawal threshold(P<0.001),prolonged immobility time in the forced swimming test and reduced sucrose preference(P<0.001)on days 7,14 and 21 post-operation;the morphology of hippocampal CA1 neurons was abnormal,with a significant decrease in the number of Nissl positive cells(P<0.001)and a significant decrease in dendritic spine density(P<0.001);the expressions of SIRT1,BDNF and TrkB in dentate gyrus of the hippocampus were significantly reduced(P<0.01,P<0.001),and the protein and mRNA expressions of SIRT1,BDNF and TrkB were significantly reduced(P<0.001).Compared with the model group,the tuina group showed a significant increase in mechanical withdrawal threshold(P<0.01,P<0.001)on days 14 and 21 post-operation,shortened immobility time in the forced swimming test(P<0.01,P<0.001)and increased sucrose preference(P<0.001);the hippocampal CA1 neuronal morphology was improved,with significantly increased Nissl positive cells(P<0.001)and dendritic spine density(P<0.001);the expressions of SIRT1,BDNF and TrkB in dentate gyrus of the hippocampus significantly increased(P<0.01,P<0.001),and the protein and mRNA expressions of SIRT1,BDNF and TrkB were significantly increased(P<0.001).The beneficial effects of tuina were significantly inhibited when the SIRT1 inhibitor EX-527 was used.Conclusion Tuina may alleviate pain and depressive behaviors in NP rats by activating the SIRT1/BDNF/TrkB signaling pathway and improving hippocampal neuronal structural plasticity.

Objective To investigate the effects and potential mechanism of tuina on pain and depressive behaviors in rats with neuropathic pain(NP).Methods A total of 102 SD rats were randomly divided into blank group,sham-operation group,model group,tuina group,inhibitor group and inhibitor+tuina group,with 17 rats in each group.The NP model was established by chronic constriction injury of the sciatic nerve.Starting from the 8th day post-operation,the rats underwent a 14-day tuina intervention and stereotactic injection of the SIRT1 inhibitor EX-527(20 μg/μL,0.5 μL)into the hippocampal CA1 region.Pain behaviors were assessed using the mechanical withdrawal threshold test one day before operation and on days 7,14 and 21 post-operation.Depressive behaviors were evaluated using the forced swimming test and sucrose preference test.Nissl staining was employed to observe neuronal morphology and quantity in the hippocampal tissue,while Golgi staining was used to examine dendritic spine density,hippocampal expression of SIRT1/BDNF/TrkB signaling pathway related protein and mRNA were analyzed using immunofluorescence,Western blot and RT-qPCR.Results Compared with the sham-operation group,the model group showed a significant decrease in mechanical withdrawal threshold(P<0.001),prolonged immobility time in the forced swimming test and reduced sucrose preference(P<0.001)on days 7,14 and 21 post-operation;the morphology of hippocampal CA1 neurons was abnormal,with a significant decrease in the number of Nissl positive cells(P<0.001)and a significant decrease in dendritic spine density(P<0.001);the expressions of SIRT1,BDNF and TrkB in dentate gyrus of the hippocampus were significantly reduced(P<0.01,P<0.001),and the protein and mRNA expressions of SIRT1,BDNF and TrkB were significantly reduced(P<0.001).Compared with the model group,the tuina group showed a significant increase in mechanical withdrawal threshold(P<0.01,P<0.001)on days 14 and 21 post-operation,shortened immobility time in the forced swimming test(P<0.01,P<0.001)and increased sucrose preference(P<0.001);the hippocampal CA1 neuronal morphology was improved,with significantly increased Nissl positive cells(P<0.001)and dendritic spine density(P<0.001);the expressions of SIRT1,BDNF and TrkB in dentate gyrus of the hippocampus significantly increased(P<0.01,P<0.001),and the protein and mRNA expressions of SIRT1,BDNF and TrkB were significantly increased(P<0.001).The beneficial effects of tuina were significantly inhibited when the SIRT1 inhibitor EX-527 was used.Conclusion Tuina may alleviate pain and depressive behaviors in NP rats by activating the SIRT1/BDNF/TrkB signaling pathway and improving hippocampal neuronal structural plasticity.

Objective:To investigate the value of a cross-combination machine learning approach in constructing a PET radiomics score (RadScore) for predicting early treatment response and prognosis in patients with primary gastrointestinal diffuse large B-cell lymphoma (PGI-DLBCL).Methods:This retrospective cohort study was conducted on 108 patients (59 males and 49 females, age (55.6±12.1) years) diagnosed with PGI-DLBCL between November 2016 and December 2021 at Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University ( n=85) and West China Hospital, Sichuan University ( n=23). Patients were divided into a training set ( n=86) and a validation set ( n=22) with the ratio of 8∶2 using stratified random sampling method. Seven machine learning models were employed to generate 49 feature selection-classification candidates, and the optimal candidate was selected to construct the RadScore, with five-fold cross-validation applied to determine the best-performing model. Logistic regression analysis was performed to identify risk factors for early treatment response, and a radiomics nomogram was developed by integrating RadScore with clinical predictors. Survival results between different groups of RadScore was compared by log-rank test. Results:Nineteen predictive features were selected from 111 radiomic features to construct the RadScore. In the training set, lactate dehydrogenase (LDH) (odds ratio ( OR)=3.53, 95% CI: 1.21-10.31, P=0.021), intestinal involvement ( OR=3.04, 95% CI: 1.04-8.88, P=0.042), total lesion glycolysis (TLG; OR=6.73, 95% CI: 2.23-20.29, P<0.001) and RadScore ( OR=15.11, 95% CI: 3.95-57.80, P<0.001) were identified as independent risk factors for predicting early treatment response. The combined model integrating RadScore, LDH, intestinal involvement, and TLG demonstrated good discriminatory ability for early treatment response (AUC=0.860 in the training set; AUC=0.902 in the validation set). Significant differences were observed in progression-free survival (PFS) and overall survival (OS) between different RadScore groups ( χ2 values: 13.92 and 8.56, both P<0.01). Conclusions:The machine learning-based RadScore may effectively predict survival outcomes in patients with PGI-DLBCL. The combined model integrating RadScore, clinical factors, and metabolic indicators can predict early treatment response in PGI-DLBCL patients.