Objective:To explore the impact of socioeconomic status on disability among middle-aged and elderly individuals in China.Methods:This was a retrospective cohort study. At the baseline year of 2011, 14 213 individuals aged 45 years and above from the China Health and Retirement Longitudinal Study were consecutively selected, and their repeated measurement data with complete information from the 4 rounds of follow-up from 2013 to 2020 were consecutively selected, with a total of 67 355 cases included in the analysis. The principal component analysis was used to construct a socioeconomic status index (SESI) and the generalized estimating equation was employed to analyze the association between the SESI and disability in the participants. And the impact of SESI on disability in different age subgroups was further analyzed.Results:Among the 14 213 participants included in the 2011 baseline sample for analysis, there were 6 833 males and 7 380 females, 7 953 aged 45-60 years, 5 156 aged 61-75 years, and 1 104 aged over 75 years. Additionally, there were 3 812 with high SESI, 4 526 with medium SESI, and 5 875 with low SESI. The incidences of disability were greater in the individuals aged>75 years, females, and those with a low SESI (all P<0.05). The risk of incidence of disability in the middle-aged and elderly population increased with decrease of SESI (medium SESI: OR=1.47, 95% CI: 1.39-1.55; low SESI: OR=1.79, 95% CI: 1.69-1.89) (all P<0.001). The difference in the risk of disability in the middle-aged and elderly individuals across the different SESI was greatest at 45-60 years ( OR=2.08, 95% CI: 1.91-2.26), which gradually decreased with increasing age and was smallest at>75 years (OR=1.33, 95% CI: 1.09-1.61) (all P<0.001). Conclusions:The lower the socioeconomic status of China′s middle-aged and elderly individuals, the higher the incidence of disability; the impact of socioeconomic status on risk of disability is more pronounced in the early years of middle and old age and gradually decreases with age.

Objective:To develop and validate a clinical warning model for severe pediatric community-acquired pneumonia (CAP) using electronic health records.Methods:A retrospective cohort study was conducted, analyzing clinical data of 15 750 children hospitalized for CAP at Wuhan Children′s Hospital between January 1, 2019, and December 31, 2023. Patient data were randomly split into training and testing sets at a 7∶3 ratio. Six supervised machine learning models were constructed in the training set, optimized using five-fold cross-validation, and evaluated in the testing set. Model performance was assessed using ROC-AUC, sensitivity, specificity, positive predictive value, negative predictive value, calibration curves, and clinical decision curve analysis at optimal thresholds. The best-performing model was selected, and SHapley Additive exPlanations (SHAP) were used to interpret feature importance. A program interface was developed based on the model results, enabling integration into clinical decision support systems for automated early warning.Results:A total of 15 750 participants, ranging in age from 28 days to 18 years, were included in the study. The median age was 2 years [interquartile range (IQR): 0-4 years], with 9 555 males (60.67%) and 6 195 females (39.33%). Among them, 2 211 (14.04%) developed severe pneumonia. In the prediction models, XGB outperformed other models with an ROC-AUC of 0.884 (95% CI: 0.870-0.898), sensitivity (0.803, 95% CI: 0.772-0.832), specificity (0.828, 95% CI: 0.816-0.839). Calibration analysis showed strong agreement between predicted and observed risks (Brier score: 0.081, 95% CI: 0.075-0.086). The analysis based on the SHAP method revealed that respiratory rate, heart rate, T-lymphocyte subsets, and red blood cell volume distribution width-SD are predictive factors for severe progression of community-acquired pneumonia (CAP) in children. Conclusion:An interpretable machine learning model was developed for the early detection and personalized treatment planning of severe CAP in children, providing valuable support to clinicians.

Objective:To develop and validate a clinical warning model for severe pediatric community-acquired pneumonia (CAP) using electronic health records.Methods:A retrospective cohort study was conducted, analyzing clinical data of 15 750 children hospitalized for CAP at Wuhan Children′s Hospital between January 1, 2019, and December 31, 2023. Patient data were randomly split into training and testing sets at a 7∶3 ratio. Six supervised machine learning models were constructed in the training set, optimized using five-fold cross-validation, and evaluated in the testing set. Model performance was assessed using ROC-AUC, sensitivity, specificity, positive predictive value, negative predictive value, calibration curves, and clinical decision curve analysis at optimal thresholds. The best-performing model was selected, and SHapley Additive exPlanations (SHAP) were used to interpret feature importance. A program interface was developed based on the model results, enabling integration into clinical decision support systems for automated early warning.Results:A total of 15 750 participants, ranging in age from 28 days to 18 years, were included in the study. The median age was 2 years [interquartile range (IQR): 0-4 years], with 9 555 males (60.67%) and 6 195 females (39.33%). Among them, 2 211 (14.04%) developed severe pneumonia. In the prediction models, XGB outperformed other models with an ROC-AUC of 0.884 (95% CI: 0.870-0.898), sensitivity (0.803, 95% CI: 0.772-0.832), specificity (0.828, 95% CI: 0.816-0.839). Calibration analysis showed strong agreement between predicted and observed risks (Brier score: 0.081, 95% CI: 0.075-0.086). The analysis based on the SHAP method revealed that respiratory rate, heart rate, T-lymphocyte subsets, and red blood cell volume distribution width-SD are predictive factors for severe progression of community-acquired pneumonia (CAP) in children. Conclusion:An interpretable machine learning model was developed for the early detection and personalized treatment planning of severe CAP in children, providing valuable support to clinicians.

Objective:To explore the impact of socioeconomic status on disability among middle-aged and elderly individuals in China.Methods:This was a retrospective cohort study. At the baseline year of 2011, 14 213 individuals aged 45 years and above from the China Health and Retirement Longitudinal Study were consecutively selected, and their repeated measurement data with complete information from the 4 rounds of follow-up from 2013 to 2020 were consecutively selected, with a total of 67 355 cases included in the analysis. The principal component analysis was used to construct a socioeconomic status index (SESI) and the generalized estimating equation was employed to analyze the association between the SESI and disability in the participants. And the impact of SESI on disability in different age subgroups was further analyzed.Results:Among the 14 213 participants included in the 2011 baseline sample for analysis, there were 6 833 males and 7 380 females, 7 953 aged 45-60 years, 5 156 aged 61-75 years, and 1 104 aged over 75 years. Additionally, there were 3 812 with high SESI, 4 526 with medium SESI, and 5 875 with low SESI. The incidences of disability were greater in the individuals aged>75 years, females, and those with a low SESI (all P<0.05). The risk of incidence of disability in the middle-aged and elderly population increased with decrease of SESI (medium SESI: OR=1.47, 95% CI: 1.39-1.55; low SESI: OR=1.79, 95% CI: 1.69-1.89) (all P<0.001). The difference in the risk of disability in the middle-aged and elderly individuals across the different SESI was greatest at 45-60 years ( OR=2.08, 95% CI: 1.91-2.26), which gradually decreased with increasing age and was smallest at>75 years (OR=1.33, 95% CI: 1.09-1.61) (all P<0.001). Conclusions:The lower the socioeconomic status of China′s middle-aged and elderly individuals, the higher the incidence of disability; the impact of socioeconomic status on risk of disability is more pronounced in the early years of middle and old age and gradually decreases with age.

Objective To analyze the influencing factors of survival of patients with airway stenosis requiring clinical interventions after lung transplantation. Methods Clinical data of 66 patients with airway stenosis requiring clinical interventions after lung transplantation were retrospectively analyzed. Univariate and multivariate Cox’s regression models were adopted to analyze the influencing factors of survival of all patients with airway stenosis and those with early airway stenosis. Kaplan-Meier method was used to calculate the overall survival and delineate the survival curve. Results For 66 patients with airway stenosis, the median airway stenosis-free time was 72 (52,102) d, 27% (18/66) for central airway stenosis and 73% (48/66) for distal airway stenosis. Postoperative mechanical ventilation time [hazard ratio (HR) 1.037, 95% confidence interval (CI) 1.005-1.070, P=0.024] and type of surgery (HR 0.400, 95%CI 0.177-0.903, P=0.027) were correlated with the survival of patients with airway stenosis after lung transplantation. The longer the postoperative mechanical ventilation time, the higher the risk of mortality of the recipients. The overall survival of airway stenosis recipients undergoing bilateral lung transplantation was better than that of their counterparts after single lung transplantation. Subgroup analysis showed that grade 3 primary graft dysfunction (PGD) (HR 4.577, 95%CI 1.439-14.555, P=0.010) and immunosuppressive drugs (HR 0.079, 95%CI 0.022-0.287, P<0.001) were associated with the survival of patients with early airway stenosis after lung transplantation. The overall survival of patients with early airway stenosis after lung transplantation without grade 3 PGD was better compared with that of those with grade 3 PGD. The overall survival of patients with early airway stenosis after lung transplantation treated with tacrolimus was superior to that of their counterparts treated with cyclosporine. Conclusions Long postoperative mechanical ventilation time, single lung transplantation, grade 3 PGD and use of cyclosporine may affect the survival of patients with airway stenosis after lung transplantation.

This article reviews the overview of digital integration of geriatric patients and related influencing factors, the current situation of smart outpatient service, and the aging measures of smart outpatient service, with a view to providing reference for Chinese scholars to further study digital integration of geriatric patients.

Complex adaptive system theory provides an interdisciplinary perspective for people to understand modern complex medical systems.This study introduces the background of complex adaptive system theory, basic viewpoints, demonstration of complex attributes of nursing, its application in the nursing field and analysis and evaluation of the theory, in order to provide new theoretical methods and ideas for the clinical practice and research of nursing scholars in China.

Objective:To compare the research status of smart aged care platforms at home and abroad by bibliometrics, so as to provide a reference for the smart transformation of Chinese industry of health care for the aged from a macro level.Methods:Web of Science core collection and China National Knowledge Infrastructure (CNKI) were taken as sources to analyze the research progress at home and abroad from 2010 to 2020. The analysis function of the database, VOSviewer and CiteSpace were used to quantitatively analyze and visualize the research situation and hotspots of the smart aged care platform, and perform a qualitative analysis of the included literature.Results:Totally, 166 articles in English and 78 articles in Chinese were included. The annual number of papers published at home and abroad showed an overall growth trend, and the research field involved multiple disciplines. The keywords that appeared frequently in the research on foreign smart medical care platforms were "assistive technology""elderly""smart home""e-health""telecare", and "rehabilitation". The top five keywords in the ranking of the number of occurrences in China were "smart elderly care""Internet of things""smart home""Internet +" and "combined medical care". Foreign research had become in-depth and diverse in the four aspects of platform technology preparation, functions, privacy and data protection, and effect evaluation.Conclusions:The development of academic research on the smart aged care platform and its related technologies is steady and diverse. However, compared with foreign countries, there is still a certain gap in content and technology in China. It is necessary to learn from foreign excellent technologies and concepts on the basis of conforming to national conditions to promote the further development of smart medical care platforms.

Objective:To explore the teaching effect of case-based learning (CBL) in patient safety course.Methods:A self-made CBL teaching effect questionnaire was used to conduct an online survey on 212 clinical medical undergraduates from a medical college in Chongqing.Results:A total of 212 questionnaires were collected, with 100% of effective recovery rate. Among the students, 91.0% believed that CBL teaching quality was high; 92.4% were satisfied with CBL teaching; 62.7% were the first to experience CBL teaching; 96.7% preferred CBL teaching; 94.3% said that in the future teaching, they would like to accept CBL Teaching. Most students thought that CBL played a vital role in stimulating learning interest, improving learning enthusiasm, activating classroom atmosphere, broadening learning ideas, exercising independent thinking ability, and facilitating the ability of theory connected with practice. Suggestions for the CBL teaching of patient safety courses are summarized into the following three keywords: multiple cases, more interactions, and more similar teaching.Conclusion:The application of CBL in the patient safety course is worth promoting, which is conducive to improving the teaching quality.

Objective To compare the efficacy of extended pelvic lymph node dissection (ePLND)and oncological outcome by fluorescence laparoscopic radical prostatectomy (FLRP) versus high-definition laparoscopic radical prostatectomy (HD-LRP) for men with locally advanced prostate cancer (LAPCa).Methods In a prospective trial,we recruited 51 patients with T3a-bNxM0 prostate cancer from July 2015 to April 2018.Patients were assigned to study group or control group according to random number method,and were underwent either FLRP + ePLND or HD-LRP + ePLND.21 in the study group were injected with 5 mg of indocyanine green (ICG) into the bilateral lobes of the prostate transperineally guiled by transrectal ultrasound 30 min before surgery for lymphography.During the surgical procedure a fluorescence laparoscope,optimized for detection in the near infrared range,was used to visualize the lymph nodes (green fluorescent) in the dissection region in the study group while a common laparoscopy introduced in control one.Lymph nodes were removed in the external iliac vessiles,internal iliac artery,obturator fossa regions,common iliac regions and presacral regions in both groups.Radical prostatectomy was completed in the both groups by similar steps.The operation time,blood loss,number of removed lymph nodes and positive lymph nodes,complication rate,biochemical recurrence (BCR) and metastasis free survival rates in 2 years were recorded and compared in the two groups.Results 51 eligible patients were selected,including 21 in the study group and 30 in the control group.The mean age of biopsy of study group and control one were (66.4 ± 7.7) and (66.8 ± 7.4),the mean age PSA (23.5 ± 16.8) ng/ml and (26.0 ± 20.1) ng/ml,the mean Gleason score of biopsy (8.1 ± 1.0) and (7.9 ± 0.9) respectively,and there was no statistical significant difference between two groups.The mean operation time of study group and control one were (45.9 ± 4.6) min and (56.4 ± 3.2) min,the mean removed lymph nodes were (27.7 ± 5.6) and (22.1 ±5.6) respectively,and there was statistical significant difference between two groups (all P ＜ 0.05).Lymph nodes invasion in pathology were reported in 8 cases(38.1％)in the study groups while 9 (30.0 ％) in the control one;the proportion of positive lymph node (metastasis) were 3.2％ (19/583) and 3.4％ (23/663) in the two groups respectively and no statistically significant difference was noted between the two groups.Lymphorrhagia occurred in 4 cases in the control group,and there was no serious complications in both groups.The median follow-up time was 20 (7-33) month and during this time,BCR observed of 1 (4.7％) in the study group and 8 (26.7％) in the control;meanwhile,the MFSR was recorded of 100.0％ (0)in the study group and 86.7％ (4)in the control one,showing a statistically significant difference between the two groups(P =0.04).Conclusions Comparing with LRP,FLRP achieved better results of LN dissection,which will improve oncological outcomes.