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.

ObjectiveTo elucidate the mechanism by which total flavonoids of Abelmoschi Corolla （TFA） treat immunoglobulin A （IgA） nephropathy （IgAN） through serum metabolomics analysis. MethodsSPF-grade male SD rats were randomly assigned into six groups （n=10）： blank， model， low-dose TFA （TFA-L， 27 mg·kg^-1）， medium-dose TFA （TFA-M， 54 mg·kg^-1）， high-dose TFA （TFA-H， 108 mg·kg^-1）， and losartan potassium （LST， 4.5 mg·kg^-1） groups. The remaining five groups， excluding the blank group， were modeled with bovine serum albumin （BSA）， lipopolysaccharide （LPS）， and carbon tetrachloride （CCl₄）. Specifically， from weeks 1 to 10， BSA was administered via gavage every other day， and a mixture of castor oil and CCl₄ was injected subcutaneously once a week， with LPS injected into the tail vein at weeks 6 and 8. After successful modeling， each intervention group was administrated with the medication prepared with distilled water once daily by gavage for a continuous period of 4 weeks. The levels of 24-hour urinary total protein （24 h UP） and serum creatinine （SCr） were quantified by kits， and the serum IgA level was determined by enzyme-linked immunosorbent assay （ELISA）. Renal pathological changes were observed by hematoxylin-eosin （HE） staining and periodic acid-Schiff （PAS） staining. Renal IgA deposition was assessed by immunofluorescence （IF）. Endoplasmic reticulum （ER） stress was observed by transmission electron microscopy. Western blot and immunohistochemistry （IHC） were employed to detect the expression of ER stress-related factors. Non-targeted metabolomics was used to screen differential metabolites for analysis， and key metabolites arachidonic acid （AA）， prostaglandin E₂ （PGE₂）， and cyclooxygenase-2 （COX-2） were validated. ResultsCompared with the blank group， the model group showed increased 24-hour urine protein （24 h UP） and serum creatinine （SCr） levels （P<0.01）， obvious renal pathological damage， elevated serum IgA level （P<0.01）， increased renal AA and PGE₂ levels （P<0.01）， and up-regulated protein levels of COX-2， glucose-regulated protein 78 （GRP78）， phosphorylated eukaryotic initiation factor 2α （P-EIF2α）， activating transcription factor 4 （ATF4）， inositol-requiring enzyme 1α （IRE1α）， and spliced X-box binding protein 1 （XBP1s） in the renal tissue （P<0.05， P<0.01）. Compared with the model group， the intervention groups showed reductions in 24 h UP and SCr levels （P<0.05， P<0.01）， alleviated renal pathological injury， decreased serum IgA level （P<0.05， P<0.01）， and reduced renal AA and PGE₂ levels （P<0.01）. Western blot and IHC results showed that TFA reduced the levels of COX-2， GRP78， P-EIF2α， ATF4， IRE1α， and XBP1s in the renal tissue （P<0.05， P<0.01）. Metabolomics results indicated that 51 commonly differential metabolites were found among the normal， model， and TFA-M groups. TFA ameliorated IgAN by affecting metabolic pathways related to the biosynthesis of arachidonic acid and arginine through L-aspartic acid， prostaglandin 2α， leukotriene B₄， leukotriene D₄， among others. ConclusionTFA can regulate the arachidonic acid metabolism pathway， thereby modulating ER stress， reducing renal damage， and ameliorating IgA nephropathy.

OBJECTIVE To investigate the suspected outbreak of one incident of carbapenem-resistant Acinetobacter baumannii(CRAB)infection in an intensive care unit(ICU)so as to provide experience and reference for preven-tion and control of multidrug-resistant organisms(MDROs)infections in a grass-root hospital.METHODS The epidemiological survey and environmental hygiene surveillance were performed for 8 patients with CRAB infection who were detected in ICU of Qingbaijiang District People's Hospital from Jul.21,2022 to Aug.6,2022 so as to find out the infection sources and transmission routes and take targeted intervention measures.RESULTS Totally 8 patients had CRAB infection in the ICU in a short time period,the drug resistance spectrum was basically the same;the CRAB infection/colonization rate was 12.50％(8/64),the incidence rate of CRAB infection was 7.81％(5/64),which was higher during this period than that during the same period in 2020 and 2021(P＜0.05).The environmental hygiene surveillance showed that the isolation rate of CRAB was 6.00％(3/50).The strains isolated from the hand washing sink between bed 2 and bed 3,the hanging tower of bed 13 and the countertops of treat-ment rooms showed the basically same result of drug susceptibility testing with CRAB strains isolated from the patients.This incident had been effectively under control through targeted prevention and control strategies such as the control and separation of the patients,subgrouping treatment and nursing,repeated deep cleaning and disinfec-tion as well as strict implementation of hand hygiene.CONCLUSION The overloaded enrollment of patients,insuf-ficient between-bed interval,poor and delayed cleaning and disinfection of environmental object surfaces,extensive contamination of instrument and facilities,spare supplies and hand washing sink are probably the leading causes of outbreak and prevalence of CRAB.

Objective:To develop an artificial intelligence (AI)-based automatic scoring model for magnetic resonance imaging-detected extramural vascular invasion (AI-mrEMVI) and evaluate its performance and prognostic value in patients with rectal cancer.Methods:In this multicenter retrospective cohort study, a total of 2 501 rectal cancer patients from seven centers between November 2012 and December 2020 were included and divided into completely independent training ( n=1 830) and validation ( n=671) cohorts. A nnUNet-based AI-mrEMVI scoring model was constructed. Manual mrEMVI scores assigned by two radiologists served as the reference standard for accessing the accuracy of the AI-mrEMVI scoring. Kaplan-Meier survival analysis and Cox regression were used to evaluate the prognostic stratification ability of the AI-mrEMVI scores. The concordance index (C-index) was calculated to evaluate prognostic performance. Results:In the validation cohort, the manual mrEMVI scores were 0-2 in 425 patients (63.3%), 3 in 89 (13.4%), and 4 in 157 (23.4%). The AI-mrEMVI model identified 0-2 in 375 patients (55.9%), 3 in 95 (14.2%), and 4 in 201 (30.0%), with an overall accuracy of 81.1% (544/671, 95% CI 77.9%-84.0%). The 3-year disease-free survival (DFS) rates for patients with AI-mrEMVI scores of 0-2, 3, and 4 were 85.2%, 70.0%, and 58.2%, respectively, and the 5-year overall survival (OS) rates were 87.2%, 81.6%, and 62.6%, respectively (DFS: χ2=48.74, P<0.001; OS: χ2=30.04, P<0.001). Multivariable Cox regression showed that for DFS, AI-mrEMVI scores of 3 and 4 were associated with hazard ratios ( HR) of 1.75 (95% CI 1.11-2.77, P=0.016) and 2.65 (95% CI 1.86-3.78, P<0.001), respectively. For OS, an AI-mrEMVI score of 4 was associated with an HR of 2.56 (95% CI 1.62-4.03, P<0.001). The C-index values of the AI-mrEMVI scoring model for predicting DFS and OS were 0.647 (95% CI 0.608-0.686) and 0.650 (95% CI 0.598-0.702), respectively. Conclusion:The proposed AI-mrEMVI automatic scoring model demonstrated high diagnostic accuracy and performed favorably in predicting DFS and OS prognostic risk in patients with rectal cancer.

OBJECTIVE To investigate the suspected outbreak of one incident of carbapenem-resistant Acinetobacter baumannii(CRAB)infection in an intensive care unit(ICU)so as to provide experience and reference for preven-tion and control of multidrug-resistant organisms(MDROs)infections in a grass-root hospital.METHODS The epidemiological survey and environmental hygiene surveillance were performed for 8 patients with CRAB infection who were detected in ICU of Qingbaijiang District People's Hospital from Jul.21,2022 to Aug.6,2022 so as to find out the infection sources and transmission routes and take targeted intervention measures.RESULTS Totally 8 patients had CRAB infection in the ICU in a short time period,the drug resistance spectrum was basically the same;the CRAB infection/colonization rate was 12.50％(8/64),the incidence rate of CRAB infection was 7.81％(5/64),which was higher during this period than that during the same period in 2020 and 2021(P＜0.05).The environmental hygiene surveillance showed that the isolation rate of CRAB was 6.00％(3/50).The strains isolated from the hand washing sink between bed 2 and bed 3,the hanging tower of bed 13 and the countertops of treat-ment rooms showed the basically same result of drug susceptibility testing with CRAB strains isolated from the patients.This incident had been effectively under control through targeted prevention and control strategies such as the control and separation of the patients,subgrouping treatment and nursing,repeated deep cleaning and disinfec-tion as well as strict implementation of hand hygiene.CONCLUSION The overloaded enrollment of patients,insuf-ficient between-bed interval,poor and delayed cleaning and disinfection of environmental object surfaces,extensive contamination of instrument and facilities,spare supplies and hand washing sink are probably the leading causes of outbreak and prevalence of CRAB.

Objective To explore and analyze the adverse drug event(ADE)signals associated with pembrolizumab and to provide a reference for the real-world safety of drug use on elderly patients.Methods ADE reports of pembrolizumab in the general population and elderly population were collected from the FDA Adverse Event Reporting System(FAERS)for the period between January 1st,2019,and June 30th,2024.Multiple signal detection methods(ROR,PRR,MHRA)were employed for data mining.Classification and statistical analysis were performed using the System Organ Class(SOC)and Preferred Term(PT)from the MedDRA(Version 27.1)dictionary.Results A total of 966 signals were identified in the general population,spanning 24 SOCs,while 593 signals were detected in the elderly population,spanning 23 SOCs.Comparative visualization analysis of critical PTs under four major SOCs revealed no significant abnormal signals in elderly patients.Conclusion A comprehensive and multidimensional analysis of the ADE data from the FAERS database indicates that pembrolizumab appears to be relatively safe for use in elderly patients.

Objective To explore and analyze the adverse drug event(ADE)signals associated with pembrolizumab and to provide a reference for the real-world safety of drug use on elderly patients.Methods ADE reports of pembrolizumab in the general population and elderly population were collected from the FDA Adverse Event Reporting System(FAERS)for the period between January 1st,2019,and June 30th,2024.Multiple signal detection methods(ROR,PRR,MHRA)were employed for data mining.Classification and statistical analysis were performed using the System Organ Class(SOC)and Preferred Term(PT)from the MedDRA(Version 27.1)dictionary.Results A total of 966 signals were identified in the general population,spanning 24 SOCs,while 593 signals were detected in the elderly population,spanning 23 SOCs.Comparative visualization analysis of critical PTs under four major SOCs revealed no significant abnormal signals in elderly patients.Conclusion A comprehensive and multidimensional analysis of the ADE data from the FAERS database indicates that pembrolizumab appears to be relatively safe for use in elderly patients.

Robot-assisted surgery with its advantages such as three-dimensional high-definition vision, dexterous robotic arms, and tremor filtration, is increasingly being applied to complex radical gastrectomy. However, the role of the surgical assistant remains crucial during the procedure. The assistant is responsible for tasks outside the console, including adjusting robotic arms, changing instruments, exposing the surgical field, and addressing unexpected situations. The technical proficiency of the assistant and their collaboration efficiency with the primary surgeon directly impact the smoothness of surgery and patients' outcomes. With the expansion of robot-assisted surgical indications, the establishment of a standardized training system and the optimization of team collaboration models have become urgent challenges to address. This article draws on the author's practical experience as an assistant in robot-assisted gastric cancer surgeries, conducting an in-depth analysis of the responsibilities and operational skills of surgical assistants in robot-assisted procedures. The aim is to develop a relatively comprehensive set of operational guidelines for surgical assistants in robot-assisted radical gastrectomy, providing valuable references for enhancing the overall efficiency of surgical teams and improving surgical outcomes.

Objective To evaluate the predictive value of neutrophil/high-density lipoprotein cholesterol ratio(NHR)combined with monocyte/lymphocyte ratio(MLR)for early rebleeding after endoscopic treatment in patients with cirrhosis complicated by acute esophagogastric variceal bleeding(AEVB).Methods A total of 228 patients with cirrhosis complicated by AEVB were included in this study.According to the occurrence of early rebleeding,patients were divided into the rebleeding group(96 cases)and the non-rebleeding group(132 cases).General information and laboratory indicators of both groups were collected,and the End-Stage Liver Disease(MELD)score,Child-Turcotte-Pugh(CTP)score,Fibrosis-4(FIB-4)index,NHR,and MLR were calculated.Logistic regression analysis was used to identify the risk factors for early rebleeding in patients with cirrhosis complicated by AEVB.A nomogram model based on NHR and MLR was constructed to predict the risk of early rebleeding.The predictive performance and goodness of fit of the model were evaluated using receiver operating characteristic(ROC)curve,Hosmer-Lemeshow test,Net Reclassification Index(NRI)and Integrated Discrimination Improvement(IDI).Results Compared with the non-rebleeding group,systolic blood pressure,platelet count(PLT),albumin/globulin ratio(A/G)and low-density lipoprotein cholesterol(LDL-C)were decreased in the rebleeding group,while total bile acids(TBA),aspartate aminotransferase(AST),alanine aminotransferase(ALT),total bilirubin(TBIL),activated partial thromboplastin time(APTT),thrombin time(TT),international normalized ratio(INR),Fibrosis-4(FIB-4),NHR,MLR,MELD score and CTP score were increased(P＜0.05).NHR was positively correlated with AST,TBIL and INR(P＜0.05).MLR was negatively correlated with PLT,and positively correlated with AST,TBIL and FIB-4(P＜0.05).Logistic regression analysis results showed that prolonged TT,elevated NHR and MLR were independent risk factors for early rebleeding in patients with cirrhosis complicated by AEVB.The nomogram model based on NHR and MLR to predict early rebleeding had an area under the curve of 0.810(95%CI:0.754-0.866).The Hosmer-Lemeshow test suggested that the model fit well.IDI and NRI analyse showed that the combination of NHR and MLR had better predictive value for the early rebleeding than that of MELD score and CTP score.Conclusion NHR and MLR are effective indicators for predicting early rebleeding after endoscopic treatment in patients with cirrhosis complicated by AEVB.They are helpful in the early identification of high-risk patients and provide a reference for clinical intervention.

Objective To identify risk factors for colorectal adenomatous polyps using logistic regression analysis,construct a prediction model based on these identified factors,and subsequently evaluate the performance of the model.Methods Encompassed 1,023 patients who underwent large intestine polyp resection at the First Hospital of Handan between January 2017 and January 2022.Among these patients,676 had adenomatous polyps(adenomatous polyp group)and 347 had non-adenomatous polyps(non-adenomatous polyp group).We collected data on basic information,medical history,colonoscopy results,and polyp pathology.By comparing the two groups,we identified significant differences in various indicators,which were selected as candidate factors for model construction.Patients were randomly divided into a training set and a validation set at an 8∶2 ratio.Using the training set data,we constructed a risk prediction model and developed a nomogram using R Studio software to visually present the model.Finally,we internally validated the model using the validation set.The model's discrimination ability was evaluated using the ROC curve,its accuracy was assessed via the calibration curve,and its clinical utility was evaluated through decision curve analysis(DCA).Results Significant differences were observed between the two groups in terms of age,drinking habits,family history of colorectal cancer,hyperlipid-emia,history of cholecystectomy,HP infection,and history of appendectomy(P<0.05).These variables were included in the model construction.A total of 818 participants were randomly assigned to the training set,while 205 were allocated to the validation set.Multivariate logistic regression analysis on the training set confirmed that age(OR=1.021,95%CI:1.006～1.036,P=0.006),alcohol consumption(OR=3.440,95%CI:2.251～5.257,P<0.001),first-degree relatives with colorectal cancer(OR=3.775,95%CI:1.881～7.577,P<0.001),hyperlipidemia(OR=3.428,95%CI:2.443～4.808,P<0.001),history of cholecystectomy(OR=3.916,95%CI:1.756～8.735,P<0.001),Helicobacter pylori(HP)infection(OR=3.292,95%CI:2.309～4.693,P<0.001),and history of appendectomy(OR=3.819,95%CI:2.002～7.286,P<0.001)were independent risk factors for adenomatous polyps.Consequently,a prediction model for large intestine adenomatous polyps was developed using the formula P=1/(1+e-Y),where Y=0.020×age+1.328×first-degree relatives with colorectal cancer+1.235×alcohol consumption+1.232×hyperlipidemia+1.365×cholecystectomy+1.192×HP infection+1.340×appendectomy-1.995.The model demonstrated good performance with AUC values of 0.763(95%CI:0.729～0.797)for the training set and 0.769(95%CI:0.644～0.787)for the validation set.The calibration curve indicated a good fit,and decision curve analysis showed that the model could achieve positive net benefit across a wide range of threshold probabilities,confirming its clinical utility.Conclusions Age,alcohol consumption,a family history of colorectal cancer in first-degree relatives,hyperlipidemia,cholecystectomy,HP infection,and appendectomy were identified as independent risk factors for adenomatous polyps.A prediction model incorporating these risk factors holds significant practical value for predicting the occurrence of colorectal adenomatous polyps.