Objective To explore the effectiveness of the generative large language model MedGo in nursing decision-making for elderly patients with multimorbidity. Methods A quasi-randomized controlled trial study was conducted involving 6 junior nurses, 6 senior nurses and the MedGo model from January 1, 2025 to March 31, 2025 at the Emergency Internal Medicine Ward of Shanghai East Hospital Affiliated to Tongji University. Clinical data of 120 elderly patients with multimorbidity were analyzed to compare the performance of the three groups in four tasks (nursing diagnosis assessment, nursing intervention formulation, complication identification, and complication prevention) from three evaluation dimensions: decision-making time consumption, decision accuracy, and decision-making quality. Results In terms of decision-making time, the senior nurse group completed all four tasks faster than the junior nurse group (P＜0.01), and the MedGo group completed all four tasks faster than the junior nurse group (P＜0.001) and the senior nurse group (P＜0.001). In terms of decision-making accuracy, senior nurse group scored higher than junior nurse group in all four tasks (P＜0.001), while the MedGo group outperformed the senior nurse group only in complication identification (P＜0.001). In terms of decision-making quality, the MedGo group scored higher than junior nurse group (P＜0.001) and senior nurse group (P＜0.001) in all four tasks. Conclusions The MedGo model demonstrates advantages of high efficiency, accuracy, and quality in nursing decision-making for elderly patients with multimorbidity; senior nurses outperform junior nurses in decision-making, providing diverse references for clinical nursing decision-making.

OBJECTIVE To investigate the clinical efficacy and safety of Zhengxintai granules as in the treatment of microvascular angina （MVA） following percutaneous coronary intervention （PCI） in patients with acute ST-segment elevation myocardial infarction （STEMI） and qi deficiency and blood stasis syndrome. METHODS Patients with STEMI and qi deficiency and blood stasis syndrome who underwent PCI and developed MVA and were admitted to the Jinan Fourth People’s Hospital （Jinan Cardiovascular Hospital） from March 2022 to March 2025 were selected， they were randomly divided into the control group and the observation group according to a random number table， with 76 cases in each group. Patients in the control group received conventional Western medicine treatment combined with a placebo， while patients in the observation group received Zhengxintai granules （5 mg per dose， three times daily， for 8 weeks） in addition to conventional Western medicine treatment. The clinical efficacy [including the total effective rate of traditional Chinese medicine （TCM） syndrome improvement and the total effective rates of Western clinical efficacy] was compared between the two groups. The following indicators were detected before and after treatment： TCM syndrome scores， angina pectoris episodes [daily attack frequency， duration per attack， Visual Analogue Scale （VAS） score]， cardiac function indicators [lactate dehydrogenase （LDH）， N-terminal pro-B-type natriuretic peptide （NT-proBNP）， left ventricular end-diastolic dimension （LVEDD）， left ventricular end-systolic dimension （LVESD）， left ventricular ejection fraction （LVEF）， cardiac output （CO）， fractional shortening （FS）]， coagulation function indicators [thrombin time （TT）， prothrombin time （PT）， fibrinogen （FIB）]， fibrinolytic marker （D-dimer）， vascular endothelial function indicators [vascular endothelial growth factor （VEGF）， nitric oxide （NO）， endothelin-1 （ET-1）] and myocardial microcirculation hemodynamic indicators [end-diastolic velocity （EDV）， peak systolic velocity （PSV）， resistance index （RI）， pulsatility index （PI）]. The quality of life [Seattle Angina Questionnaire （SAQ） score] and the incidence of adverse reactions were also compared between the two groups. RESULTS There was no patient dropout during the entire course of the study. The total effective rates of improvement in TCM syndromes and the total effective rates of Western clinical efficacy in the observation group were significantly higher than those in the control group （93.42% vs. 82.89%， 94.74% vs. 84.21%， P＜0.05）. Before the treatment， the comparison of each examination indicator between the two groups showed no statistically significant differences （P＞0.05）. Compared with before treatment， the TCM syndrome scores， the number of daily angina pectoris attacks and the duration of each attack， the VAS scores， LDH， NT-proBNP， FIB， D-dimer， ET-1 levels， LVEDD， LVESD， RI and PI after treatment in both groups were significantly reduced， shortened or decreased （P＜0.05）； VEGF and NO levels， LVEF， CO， FS， TT， PT， EDV， PSV， and the standard scores of five dimensions including angina pectoris stability， as well as the total scores of SAQ， all significantly increased or prolonged （P＜0.05）. Furthermore， the improvements in the aforementioned indicators （except for LVEF） in the observation group were significantly greater than those in the control group （P＜0.05）. There was no statistically significant difference in the total incidence of adverse reactions between the two groups （P＞0.05）. CONCLUSIONS Zhengxintai granules， when used as an adjunct to conventional Western medicine， can significantly alleviate the related symptoms of MVA in STEMI patients with qi deficiency and blood stasis syndrome after PCI， repair damaged cardiac function， restore the balance of the coagulation-fibrinolysis system， improve vascular endothelial function and myocardial microcirculation perfusion， and significantly enhance the quality of life of patients

Objective To investigate the prognostic value of remnant lipoprotein cholesterol(RLP-C)and platelet-lymphocyte ratio(PLR)for elderly patients with acute myocardial infarction(AMI)stratified by body mass index(BMI).Methods A total of 130 elderly AMI patients admitted to our hospital from January 2022 to January 2024 were recruited,and then based on their BMI,they were categorized into low(n=18),normal(n=60),and high BMI groups(n=52).Multivariate logistic regression analysis was used to identify the risk factors for poor prognosis in elderly AMI patients.Spearman correlation analysis was conducted to examine the relationship of RLP-C and PLR with prognostic outcomes.ROC curve analysis was performed to evaluate the predictive per-formance of the two indicators for prognosis in elderly AMI patients of different BMI.Results Significant differences in RLP-C and PLR levels were observed among the above three groups(P＜0.05,P＜0.01).In the overall population,as well as in the low,normal and high BMI groups,both RLP-C and PLR were positively correlated with adverse outcomes in elderly AMI patients(P＜0.01).PLR and RLP-C were independent risk factors for poor prognosis in elderly AMI pa-tients(P＜0.01),and they were independently associated with prognosis in each BMI group(P＜0.01).The combined the three indicators together significantly improved the sensitivity and speci-ficity in predicting adverse outcomes in elderly AMI patients when compared to single indicator alone(sensitivity:54.29％,75.94％,64.18％vs 82.61％;specificity:68.83％,70.22％,72.15％vs 80.49％;P＜0.01).Conclusion RLP-C and PLR are influencing factors for poor prognosis in eld-erly AMI patients,and can serve as predictive factors for prognosis,which are helpful for provi-ding valuable guidance for early treatment and prevention of adverse outcomes.

Objective To determine whether an intelligerct cloud platform follow-up model demonstrates superiority over conventional methods in enhancing follow-up quality,reducing costs,and improving functional recovery following total knee arthroplasty(TKA).Methods A retrospective cohort study was conducted on 260 patients undergoing TKA at our hospital from October 2022 to September 2023.According to the different postoperative follow-up methods,they were divided int a cloud platform group(n=130)and a traditional group(n=130).The baseline data,pre-and postoperative knee function scores,and follow-up costs were collected and compared between the 2 groups.Results The cloud platform group exhibited significantly higher rate of follow-up satisfaction,reduced resource utilization,shorter per-follow-up duration,fewer accompanying persons per visit,lower total follow-up expenditures,and decreased cumulative follow-up time when compared with the traditional group(P<0.05).At 6 weeks,3,6,and 12 months postoperatively,better range of motion(ROM)was observed in the cloud-based group than the traditional group(P<0.05),but no intergroup differences were seen in other knee function scores.Conclusion Cloud platform follow-up enhances early postoperative ROM(6 weeks to 12 months)and demonstrates marked cost-effectiveness when compared to the conventional mode.It represents a viable alternative for post-TKA rehabilitation surveillance.

Promoting the construction of compact urban medical group has become an important part of building a high-quality,efficient,equitable,and accessible integrated integrated medical service system.Based on the policy orientation of the state to promote the construction of compact urban medical groups,it selects typical practical cases from Minhang(Shanghai),Luohu(Shenzhen),Hefei,and Qiqihar.lt analyzes their current explorations in organizational models and operational mechanisms,summarizes the main challenges they face,and accordingly proposes targeted optimization pathways,aiming to provide a reference for optimizing integrated medical service systems and forming establishing a orderly medical seeking system.

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

Objective:To investigate the relationship of several adiposity-related anthropometric parameters, including BMI, waist circumference (WC), waist-to-hip ratio (WHR), body fat percentage (BFP) and indoles in plasma with the incidence of atherosclerotic cardiovascular disease (ASCVD) in adults in China.Methods:In China Kadoorie Biobank (CKB) study, blood samples were collected from 2 183 participants in the first resurvey in 2008 to detect indoles. Participants' body weight, body height, WC, hip circumference, and BFP were measured at baseline survey in 2004 and resurvey in 2008, the BMI and WHR were calculated with standardized methods. The long-term follow-up of all participants started from the completion of the resurvey in 2008 until the occurrence of incident ASCVD, death, loss to follow-up or until December 31, 2018. CKB ascertained outcome status (incident ASCVD) through death and disease registries and national health insurance databases, supplemented by active follow-up. Multivariate linear regression model was used to estimate the associations of anthropometric measurements at baseline survey and the first resurvey, and changes in these measurements with 3 indoles [indole, indole-3-acetic acid (IAA), and indole-3-propionic acid (IPA)]. Cox proportional hazard regression model was used to estimate the associations between indoles and the risk for ASCVD.Results:Anthropometric measurements at baseline survey or the first resurvey were negatively associated with plasma IPA level. The regression coefficient ( β) of baseline BMI (per 1.0 kg/m 2) with 0.1 standard deviation ( SD) IPA was -0.23 (95% CI: -0.36 - -0.10) (false discovery rate=0.004). After adjusting for baseline BMI, the β of baseline WC, WHR and BFP with 0.1 SD IPA were -0.09 (95% CI: -0.18 - -0.01), -0.12 (95% CI: -0.19 - -0.05), and -0.20 (95% CI: -0.32 - -0.08), respectively. The annual change in BMI (difference between BMI in 2008 and 2004 divided by the time interval) was associated with indole and IAA, with β of 1.40 (95% CI: 0.58 - 2.21) and -1.07 (95% CI: -1.91 - -0.23), respectively, at each 0.1 increase of SD. Over a median ( Q1, Q3) follow-up of 10.46 (10.36, 10.53) years after 2008 resurvey, 236 cases of ASCVD were recorded. IAA and IPA levels were negatively associated with the risk for ASCVD, with hazard ratios for one SD increase of IAA and IPA of 0.87 (95% CI: 0.76 - 0.99) and 0.84 (95% CI: 0.73 - 0.96), respectively. Conclusions:Our results suggested that anthropometric measurements and their changing trends affect the levels of plasma imicrobial tryptophan metabolite levels, decreased levels of IAA and IPA levels are associated with increased risk of ASCVD and indoles in plasma including IPA and IAA might be the mediating factors for adiposity-induced ASCVD.

Objective:To analyze the prospective associations between liver biomarkers and mortality among Chinese middle-aged and elderly populations and to evaluate the mortality risk predictive value.Methods:A total of 22 758 participants from the 3 rd resurvey of the China Kadoorie Biobank were included. Cox proportional hazard models were used to analyze the prospective associations of 5 liver biomarkers with mortality. These liver biomarkers included two liver imaging biomarkers (liver fat attenuation parameter, liver stiffness measurement) and three serum liver enzyme biomarkers [gamma-glutamyl transferase (GGT), ALT, and AST]. Restricted cubic spline was used to assess the nonlinear associations between biomarkers and mortality. The area used the receiver operating characteristic curve (AUC) to evaluate the predictive ability of the models after incorporating liver biomarkers into traditional prediction models for mortality. Results:The mean age of the participants was (65.2±9.1) years, with a median follow-up of 1.5 years, during which 307 deaths occurred. Compared to individuals without hepatic steatosis, those with severe hepatic steatosis had a 79% higher risk of mortality, with a HR of 1.79 (95% CI: 1.06-3.03). Compared to individuals without hepatic fibrosis, those with advanced fibrosis and cirrhosis had higher mortality risks of 48% and 91%, respectively (both P<0.05). For each standard deviation increase in GGT, the mortality risk increased by 10% ( HR=1.10, 95% CI: 1.05-1.15), with the positive association plateauing at higher GGT levels. AST exhibited a U-shaped association with mortality risk. The AUC of the prediction model adding liver biomarkers into traditional prediction factors was 0.718 (95% CI: 0.679-0.757), with an increase of 0.030 ( P<0.001) compared with the traditional model. Conclusions:Severe hepatic steatosis, higher levels of hepatic fibrosis, and elevated GGT levels are significantly associated with higher mortality risk. AST shows a U-shaped nonlinear association with mortality risk. Incorporating liver biomarkers into traditional risk prediction models enhance the ability to predict mortality.

Objective:To investigate the prospective associations between plasma metabolites and the risks of all-cause and cause-specific mortality among Chinese adults.Methods:This study analyzed plasma metabolomics data from 2 183 healthy adults in the China Kadoorie Biobank (CKB), measured using targeted mass spectrometry. Cox proportional hazards regression models were used to examine the associations between 630 metabolites and the risk of all-cause mortality. Cause-specific hazard regression models evaluated the associations between metabolites and cardiovascular disease (CVD) risks, cancer, and other-cause mortality. Stepwise regression was used to identify key metabolites independently associated with all-cause mortality, and the area under the receiver operating characteristic curve (AUC) was calculated to assess the improvement in predictive performance when these metabolites were added to traditional risk prediction models.Results:The mean age of the participants was (53.2±9.8) years, 65.1% of whom were female. During a median follow-up of 14.5 years, 231 deaths occurred. A total of 44 metabolites were significantly associated with the risk of all-cause mortality [false discovery rate (FDR)-adjusted P<0.05], primarily including triglycerides, ceramides, and amino acids. Additionally, 29 and 15 metabolites were found to be associated with cancer and other-cause mortality, respectively, but no metabolites were significantly associated with CVD mortality after FDR corrections. Adding 14 metabolites independently associated with all-cause mortality into the traditional prediction model significantly improved its predictive performance. Specifically, incorporating metabolites into the traditional model, which already included laboratory biomarkers, increased the AUC to 0.798 (95% CI: 0.755-0.843), an improvement of 0.088 compared to the traditional model ( P<0.001). Conclusions:Multiple metabolites are significantly associated with mortality risk and can substantially improve the accuracy of mortality risk prediction models. These findings provide new insights into the physiological mechanisms of aging and offer valuable clues for personalized health risk assessment.