Objective:To explore the mediating effect of intrinsic motivation of nurses between empowering leadership and job performance, with the aim of providing a reference basis for managers to develop a scientific and effective intervention programme to improve nurses′ job performance.Methods:Convenience sampling method was used to select 1 213 clinical nurses from four tertiary general hospitals in Shandong Province, Henan Province, Yunnan Province, and Fujian Province from November to December 2023, and General Information Questionnaire, Empowering Leadership Scale, Intrinsic Motivation Scale, and Job Performance Scale were used to conduct a cross-sectional survey. AMOS26.0 software was used to test the mediating effect of intrinsic motivation of nurses between empowering leadership and job performance.Results:A total of 1 100 nurses completed the survey finally. Among them, there were 58 males and 1 042 females, 474 under 31 years old, 448 between 31-40 years old, and 178 over 40 years old.The total scores of the Empowering Leadership Scale, Intrinsic Motivation Scale, and Job Performance Scale were 49.44 ± 10.04, 82.35 ± 13.54 and 46.27 ± 6.20 in that order. Nurses' job performance were positive correlation with the empowered leadership and intrinsic motivation ( r=0.486, 0.703, both P<0.01), there was a positive correlation between nurse empowerment leadership and intrinsic motivation ( r=0.452, P<0.01). Nurses′ intrinsic motivation partially mediates the relationship between empowering leadership and job performance, accounting for 62.69% of the total effect. Conclusions:Intrinsic motivation of nurses is a mediating variable between empowered leadership and job performance. Nursing managers should focus on nurses' participation in autonomous decision-making to enhance nurses′ sense of competence and meaning at work, and mobilise their motivation to improve job performance.

Objective:To analyze the current status of the standard system construction for smart health and elderly care in China,analyze the framework of the standard system,and propose policy recommendations for the construction of the standard system.Methods:The standard system of smart health and elderly care were searched on the websites of the State Council of China,the National Standard Information Public Service Platform,and the sub-websites of national,industry,local,group,and enterprise standards.Policy text analysis was used to explore the current status and framework of standard system construction.Results:Currently,67 standards related to smart health and elderly care in China were included,including 0 national standards,2 industry standard,10 local standards,31 group standards,and 24 enterprise standards.These standards formed a subsystem that covered general,data,product,platform,and service standards.Conclusion:The construction of the standard system of smart health and elderly care in China has achieved certain results,but there are still shortcomings,and it is necessary to strengthen the top-level design and build a perfect framework of the standard system.

Objective To meet the clinical need for dynamic monitoring on lactate metabolism in septic shock pa-tients,a time-series prediction model based on a long short-term memory(LSTM)network was developed to predict 24-hour lactate clearance rate at admission.Methods A multi-stage retrospective cohort design was adopted to en-roll septic shock patients admitted to the department of critical care medicine of a hospital from January 2018 to Sep-tember 2024.By conducting univariate analysis and LASSO combined feature screening,predictive factors were extracted from multidimensional clinical data.An end-to-end LSTM framework(two-layer 64/32 units,dropout rate=0.3)was constructed.A sliding window strategy(six-hour step size)was adopted for dynamic prediction and compared with traditional logistic model in terms of three dimensions:calibration(Brier score),discrimination(area under the curve[AUC]of time-dependent receiver operating characteristic[ROC]),and clinical practicality(deci-sion curve analysis).Consistency between model prediction result and actual lactate clearance rate was analyzed,and the accuracy of prediction was evaluated.Results A total of 112 septic shock patients were enrolled in the analysis,including 65 males and 47 females,with an average age of(67.35±7.28)years.65 patients were assigned in the lactate good clearance rate group(lactate good clearance rate≥10％)and 47 in the lactate poor clearance rate group(lactate good clearance rate＜10％);78 patients were in the training set and 34 in the validation set.Time-depen-dent AUC analysis revealed that the predictive performance of the LSTM model in the time windows of 6,12,and 24 hours were 0.89(0.85-0.93),0.91(0.88-0.95),and 0.92(0.89-0.96),respectively,superior to the logistic regression model(ΔAUC=0.085,P＜0.01).The core predictive factors included APACHE Ⅱ score(OR=1.38),lactate level at admission(OR=1.65),vasoactive drug dosage(OR=1.42),and 6-hour fluid resuscitation dosage(OR=1.35).The Pearson correlation coefficient between the predicted value of the model and the actual 24-hour lactate clearance rate was 0.83(P＜0.001),with an average absolute error of 8.2％.Decision curve analysis confirmed that when the threshold probability was 15％-60％,the LSTM model could increase clinical net benefits by 27.3％.The validation of each subgroup showed that the model maintained the optimal predictive performance(AUC=0.87)in the lung infection subgroup(n=16).Conclusion The LSTM-based dynamic prediction model for predicting 24-hour lactate clearance rate through integrating early admission indicators demonstrates excellent pre-dictive performance and clinical application value,which can provide important reference for individualized treatment decisions in septic shock patients.

Objective:To explore the effectiveness of the"full-chain"integrated medical and elderly care service model in addressing key issues in medical-nursing services such as weak medical support capacity and insufficient provision of community-and home-based medical-nursing services.Methods:The development pathway for the"full-chain"integrated medical-elderly care service standardization system,encompassing core components such as operational mechanisms,smart platforms,policy documents,and quality control systems was systematically outlined.Effectiveness based on dimensions including service coverage,quality improvement,talent development,and social benefits was evaluated.With standardization as the core driver,the'1234567'management model was innovatively implemented.Results:The model leveraged the downward allocation of high-quality resources from tertiary general hospitals to strengthen subdistrict community health service centers.By collaborating with subdistrict elderly-care service centers,it established"subdistrict medical-elderly care and wellness service centers".These centers enhanced the capabilities of"community-embedded elderly-care complexes",including community daytime care centers,established two-way referral channels between medical and elderly care services,aligned with healthcare demands to provide elderly individuals with reliable medical support.It reduced the burden on families and society,stimulated market vitality,boosted domestic demand,promoted the development of integrated medical-elderly care and wellness initiatives,thereby advancing the silver economy.With provincial government endorsement,the model had been applied to 203 communities across 37 counties by the end of 2024.Conclusion:The established"full-chain"integrated medical-elderly care service model facilitates regional high-quality development in integrated care by consolidating healthcare group resources and seamlessly connecting the service chain across hospitals,nursing homes,community institutions,and home-based settings,thereby creating a practical paradigm for comprehensive elderly care service delivery.

This study aims to describe the population and regional distribution characteristics of smoking behavior among adult twins in the China Twin Registry (CNTR), as well as the concordance rates for smoking behavior in monozygotic and dizygotic twins, and estimate the heritability. The study population included adult twins in CNTR who had smoking questionnaire data. A random-effects regression model was used to describe the distribution of smoking behavior among different subgroups based on various characteristics. The concordance of smoking behavior between different zygosity groups was calculated, and heritability was estimated. A total of 28 444 twin pairs were included in this study, with an average age of (36.6±12.0) years. Among male twins, 41.2% were current smokers, while only 1.2% of females smoked. Higher smoking rates were observed among male smokers in the 50-59 age group ( z=23.0, P<0.001), northern regions ( z=2.9, P<0.01), rural areas ( z=-5.2, P<0.001), those who were divorced/widowed ( z=3.8, P<0.001), and first-born twins ( z=-4.3, P<0.001), while lower smoking rates were found in those with higher education ( z=-16.1, P<0.001) and unmarried individuals ( z=-16.0, P<0.001). The smoking concordance rate for male monozygotic twins was 69.6%, significantly higher than the 57.3% concordance rate for dizygotic twins ( χ 2=105.0, P<0.05). The heritability of smoking behavior in male twins was estimated at 28.9% (95% CI: 24.3%-33.4%). Stratified analyses showed differences in heritability across regions and age groups: the heritability in northern regions was 32.6% (95% CI: 27.3%-38.0%), higher than the 21.0% (95% CI: 12.4%-29.5%) observed in southern regions; the highest heritability of 35.1% (95% CI: 26.3%-43.9%) was found in the 18-29 age group, with heritability decreasing with age. In conclusion, the smoking rate and influencing factors in the twin population are similar to those in the general population, with unique characteristics, such as higher smoking rates in first-born twins. Genetic factors have a significant impact on smoking behavior.

Objective To analyze the efficacy of vascularized lymph node transplantation(VLNT)combined with lymphatic venous anastomosis(LVA)in the treatment of secondary lower extremity lymphedema assisted by super microsurgical techniques.Methods A retrospective analysis was performed for 15 patients with secondary lower limb lymphedema who underwent VLNT+LVA surgery in the Department of Reconstructive and Reconstructive Microsurgery of Ruikang Hospital Affiliated to Guangxi University of Traditional Chinese Medicine from July 2021 to July 2023,and compared the circumference and volume of each segment of the lower limb between the preoperative and postoperative 90 days.LVA according to the results of ICG examination,3-5 parts of the lower limb were selected for"Z"shaped surgery,and the lymphatic vessels and venules were anastomosed under the microscope in the subcutaneous fat layer.VLNT confirmed and labeled the saphenous branch of the descending knee artery and its accompanying veins in the popliteal fossa,and the latissimus dorsi lymph node flap was incised,and the flap vessels were anastomosed with the saphenous branch of the descending knee artery and its accompanying veins.Postoperative observation of flap vascularization.The circumference and volume of the affected limb were measured before surgery and 90 days after surgery.Results A total of 15 patients with lower extremity lymphedema were included without serious complications.Statistical analysis showed that the circumference of all levels of the affected limb and the volume of the affected limb were improved 90 days after operation compared with those before surgery.Among them,the limb circumference and volume at each level from the highest point of the dorsum of the foot to 52 cm above the ankle improved 90 days after the operation compared with those before the operation.Conclusion LNT+LVA treatment for secondary lower extremity lymphedema can effectively control edema and improve the function of the affected limb.

Objective:To describe the distribution characteristics of alcohol consumption in adult twins in the Chinese National Twin Registry (CNTR), and further explore the influence of genetic factors on alcohol consumption in adult twins.Methods:The subjects of the study were twins registered by CNTR in 11 project areas across China from 2010 to 2018. A total of 56 966 twins (28 483 pairs) aged 18 years and above who answered questions about drinking behavior were included, and the random effect model was used to describe the population and regional distribution characteristics of alcohol consumption. Intra-pair analysis was performed to calculate the concordance rate and heritability of their alcohol consumption.Results:The age of all subjects was (36.6±12.0) years, and current drinkers accounted for 16.6% (9 461/56 966) of all subjects. In men, those aged 50-59 years, those in northern China, those living in rural area, those with low education level and those with high BMI, the proportions of current drinkers were higher. After excluding 468 pairs of twins who had stopped alcohol use and 21 764 pairs of twins who had no drink or had small amount drink, an intra-pair analysis was conducted in 4 929 pairs of same-sex twins, and found that the concordance rate of alcohol consumption was 64.0% (2 059/3 215) in monozygotic twins, and 52.6% (902/1 714) in dizygotic twins, the difference was significant ( P<0.001), and the heritability of alcohol consumption was 24.1% (95% CI: 18.9%- 29.3%). The further stratified analysis found that in southern men, the heritability was highest in those aged 40-49 years (36.1%, 95% CI: 21.6%-50.7%), while in northern men, the heritability was highest in those aged 50-59 years (34.2%, 95% CI: 18.1%-50.3%). Conclusions:In adult twins in China, there were population and regional differences in the distribution of alcohol consumption behavior, and alcohol consumption was influenced by genetic factors, and gender, age and region had potential modifying effects.

Objective:To explore the effectiveness of the"full-chain"integrated medical and elderly care service model in addressing key issues in medical-nursing services such as weak medical support capacity and insufficient provision of community-and home-based medical-nursing services.Methods:The development pathway for the"full-chain"integrated medical-elderly care service standardization system,encompassing core components such as operational mechanisms,smart platforms,policy documents,and quality control systems was systematically outlined.Effectiveness based on dimensions including service coverage,quality improvement,talent development,and social benefits was evaluated.With standardization as the core driver,the'1234567'management model was innovatively implemented.Results:The model leveraged the downward allocation of high-quality resources from tertiary general hospitals to strengthen subdistrict community health service centers.By collaborating with subdistrict elderly-care service centers,it established"subdistrict medical-elderly care and wellness service centers".These centers enhanced the capabilities of"community-embedded elderly-care complexes",including community daytime care centers,established two-way referral channels between medical and elderly care services,aligned with healthcare demands to provide elderly individuals with reliable medical support.It reduced the burden on families and society,stimulated market vitality,boosted domestic demand,promoted the development of integrated medical-elderly care and wellness initiatives,thereby advancing the silver economy.With provincial government endorsement,the model had been applied to 203 communities across 37 counties by the end of 2024.Conclusion:The established"full-chain"integrated medical-elderly care service model facilitates regional high-quality development in integrated care by consolidating healthcare group resources and seamlessly connecting the service chain across hospitals,nursing homes,community institutions,and home-based settings,thereby creating a practical paradigm for comprehensive elderly care service delivery.

Objective To analyze the efficacy of vascularized lymph node transplantation(VLNT)combined with lymphatic venous anastomosis(LVA)in the treatment of secondary lower extremity lymphedema assisted by super microsurgical techniques.Methods A retrospective analysis was performed for 15 patients with secondary lower limb lymphedema who underwent VLNT+LVA surgery in the Department of Reconstructive and Reconstructive Microsurgery of Ruikang Hospital Affiliated to Guangxi University of Traditional Chinese Medicine from July 2021 to July 2023,and compared the circumference and volume of each segment of the lower limb between the preoperative and postoperative 90 days.LVA according to the results of ICG examination,3-5 parts of the lower limb were selected for"Z"shaped surgery,and the lymphatic vessels and venules were anastomosed under the microscope in the subcutaneous fat layer.VLNT confirmed and labeled the saphenous branch of the descending knee artery and its accompanying veins in the popliteal fossa,and the latissimus dorsi lymph node flap was incised,and the flap vessels were anastomosed with the saphenous branch of the descending knee artery and its accompanying veins.Postoperative observation of flap vascularization.The circumference and volume of the affected limb were measured before surgery and 90 days after surgery.Results A total of 15 patients with lower extremity lymphedema were included without serious complications.Statistical analysis showed that the circumference of all levels of the affected limb and the volume of the affected limb were improved 90 days after operation compared with those before surgery.Among them,the limb circumference and volume at each level from the highest point of the dorsum of the foot to 52 cm above the ankle improved 90 days after the operation compared with those before the operation.Conclusion LNT+LVA treatment for secondary lower extremity lymphedema can effectively control edema and improve the function of the affected limb.

Objective To meet the clinical need for dynamic monitoring on lactate metabolism in septic shock pa-tients,a time-series prediction model based on a long short-term memory(LSTM)network was developed to predict 24-hour lactate clearance rate at admission.Methods A multi-stage retrospective cohort design was adopted to en-roll septic shock patients admitted to the department of critical care medicine of a hospital from January 2018 to Sep-tember 2024.By conducting univariate analysis and LASSO combined feature screening,predictive factors were extracted from multidimensional clinical data.An end-to-end LSTM framework(two-layer 64/32 units,dropout rate=0.3)was constructed.A sliding window strategy(six-hour step size)was adopted for dynamic prediction and compared with traditional logistic model in terms of three dimensions:calibration(Brier score),discrimination(area under the curve[AUC]of time-dependent receiver operating characteristic[ROC]),and clinical practicality(deci-sion curve analysis).Consistency between model prediction result and actual lactate clearance rate was analyzed,and the accuracy of prediction was evaluated.Results A total of 112 septic shock patients were enrolled in the analysis,including 65 males and 47 females,with an average age of(67.35±7.28)years.65 patients were assigned in the lactate good clearance rate group(lactate good clearance rate≥10％)and 47 in the lactate poor clearance rate group(lactate good clearance rate＜10％);78 patients were in the training set and 34 in the validation set.Time-depen-dent AUC analysis revealed that the predictive performance of the LSTM model in the time windows of 6,12,and 24 hours were 0.89(0.85-0.93),0.91(0.88-0.95),and 0.92(0.89-0.96),respectively,superior to the logistic regression model(ΔAUC=0.085,P＜0.01).The core predictive factors included APACHE Ⅱ score(OR=1.38),lactate level at admission(OR=1.65),vasoactive drug dosage(OR=1.42),and 6-hour fluid resuscitation dosage(OR=1.35).The Pearson correlation coefficient between the predicted value of the model and the actual 24-hour lactate clearance rate was 0.83(P＜0.001),with an average absolute error of 8.2％.Decision curve analysis confirmed that when the threshold probability was 15％-60％,the LSTM model could increase clinical net benefits by 27.3％.The validation of each subgroup showed that the model maintained the optimal predictive performance(AUC=0.87)in the lung infection subgroup(n=16).Conclusion The LSTM-based dynamic prediction model for predicting 24-hour lactate clearance rate through integrating early admission indicators demonstrates excellent pre-dictive performance and clinical application value,which can provide important reference for individualized treatment decisions in septic shock patients.