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 levels of C reactive protein(CRP)and interleukin(IL)-6 in patients with myocardial infarction(MI)and their association with cardiac function.Methods:We enrolled 140 MI patients ad-mitted to Sanya Harbin Medical University Hongsen Hospital Co.,Ltd between January 2020 and December 2022,as MI group.According to coronary stenotic severity,they were divided into mild group(n=62),moderate group(n=41)and severe group(n=37),and 75 healthy individuals who underwent physical examination simultaneously were selected as control group.Serum CRP,IL-6,cardiac troponin Ⅰ(cTnⅠ)and creatine kinase isoenzyme MB(CK-MB)levels were measured by automatic biochemical analyzer,and left ventricular ejection fraction(LVEF)was assessed by echocardiography.Above-mentioned indexes were compared between MI group and control group,and among groups of different coronary disease severity.Pearson/Spearman correlation was used to analyze the asso-ciation of serum CRP and IL-6 levels with Gensini score,cTnⅠ,CK-MB levels,and LVEF in MI patients.Diag-nostic value of serum CRP and IL-6 levels for MI was analyzed by receiver operating characteristic(ROC)curve.Results:Compared with participants in control group,those in MI group had significant higher serum CRP,IL-6,cTnⅠ and CK-MB,and significant lower LVEF(P＜0.001 all).Serum CRP,IL-6,cTnⅠ and CK-MB levels sig-nificantly increased,and LVEF significant decreased in the order of mild group,moderate group and severe group(P＜0.01 all).Pearson/Spearman correlation analysis showed that serum CRP and IL-6 levels were positively cor-related with Gensini score,cTnⅠ,and CK-MB levels(r=0.496～0.646,P＜0.001all),and negatively correlated with LVEF(r=-0.530,-0.572,P＜0.001 all)in MI patients.ROC curve showed that the area under the curve(AUC)of CRP combined IL-6 diagnosing MI was 0.856(95％CI 0.802～0.900),which was significantly higher than those of CRP(AUC=0.770,95％CI 0.708～0.824)and IL-6(AUC=0.793,95％CI 0.733～0.845)alone(Z=3.295,2.877,P＜0.01 all).Conclusion:Serum CRP and IL-6 levels rise in MI patients,and they are closely associated with increased severity of coronary artery disease and reduced cardiac function.

Objective:To investigate the levels of C reactive protein(CRP)and interleukin(IL)-6 in patients with myocardial infarction(MI)and their association with cardiac function.Methods:We enrolled 140 MI patients ad-mitted to Sanya Harbin Medical University Hongsen Hospital Co.,Ltd between January 2020 and December 2022,as MI group.According to coronary stenotic severity,they were divided into mild group(n=62),moderate group(n=41)and severe group(n=37),and 75 healthy individuals who underwent physical examination simultaneously were selected as control group.Serum CRP,IL-6,cardiac troponin Ⅰ(cTnⅠ)and creatine kinase isoenzyme MB(CK-MB)levels were measured by automatic biochemical analyzer,and left ventricular ejection fraction(LVEF)was assessed by echocardiography.Above-mentioned indexes were compared between MI group and control group,and among groups of different coronary disease severity.Pearson/Spearman correlation was used to analyze the asso-ciation of serum CRP and IL-6 levels with Gensini score,cTnⅠ,CK-MB levels,and LVEF in MI patients.Diag-nostic value of serum CRP and IL-6 levels for MI was analyzed by receiver operating characteristic(ROC)curve.Results:Compared with participants in control group,those in MI group had significant higher serum CRP,IL-6,cTnⅠ and CK-MB,and significant lower LVEF(P＜0.001 all).Serum CRP,IL-6,cTnⅠ and CK-MB levels sig-nificantly increased,and LVEF significant decreased in the order of mild group,moderate group and severe group(P＜0.01 all).Pearson/Spearman correlation analysis showed that serum CRP and IL-6 levels were positively cor-related with Gensini score,cTnⅠ,and CK-MB levels(r=0.496～0.646,P＜0.001all),and negatively correlated with LVEF(r=-0.530,-0.572,P＜0.001 all)in MI patients.ROC curve showed that the area under the curve(AUC)of CRP combined IL-6 diagnosing MI was 0.856(95％CI 0.802～0.900),which was significantly higher than those of CRP(AUC=0.770,95％CI 0.708～0.824)and IL-6(AUC=0.793,95％CI 0.733～0.845)alone(Z=3.295,2.877,P＜0.01 all).Conclusion:Serum CRP and IL-6 levels rise in MI patients,and they are closely associated with increased severity of coronary artery disease and reduced cardiac function.

OBJECTIVE To investigate the current status of monitoring indicators related to the"Perioperative In-fection Control"in medical institutions above the secondary level in Guizhou Province,and to delve into the imple-mentation of key measures for infection prevention and control during the perioperative period for patients under-going surgical operations.METHODS Based on the"Implementation Plan for the'Perioperative Infection Control'Initiative in Guizhou Province",a"Case Investigation Form on Key Measures for Infection Prevention and Control During the Perioperative Period for Patients Undergoing Surgical Operation"was developed.A total of 138 medi-cal institutions participated in the case investigation,and a total of 2 128 cases were investigated.RESULTS The overall monitoring indicators for the"Perioperative Infection Control"initiative in the 138 medical institutions a-bove the secondary level in Guizhou Province were at a relatively low level.The skin cleansing compliance rate was 80.32％,the hair removal compliance rate was 16.43％,the prophylactic antibacterial drug administration rate within 0.5-1 hour before surgery was 55.94％and the antibacterial drug discontinuation rate within 24 hours after prophylactic medication for type Ⅰ incision surgeries was 56.48％.The hair removal compliance rate was higher in tertiary medical institutions(19.21％)than in secondary medical institutions(14.34％)(P=0.039).The distri-bution of the four monitoring indicators varied in clinical departments and surgery types,with statistically signifi-cant differences(P＜0.05).The preferred method for surgical site skin cleansing in medical institutions across the province was local wiping,primarily with clean water(57.21％).The primary method for hair removal was razors(68.82％),and hair removal on the day of surgery was most common(61.75％).CONCLUSIONS Conduc-ting a survey on the current status of"Perioperative Infection Control"initiative monitoring indicators in medi-cal institutions in Guizhou Province helps to understand the implementation of key measures for perioperative in-fection prevention and control and set intervention targets,thus providing references for establishing a dynam-ic monitoring indicator change mechanism.

This study was aimed at determining the genetic characteristics of Yersinia pestis in Subei County through differ-ential region(DFR),clustered regularly interspaced short palindromic repeats(CRISPR),and variable number tandem repeat(VNTR)analyses,to guide the tracing of plague outbreaks.The DNA of 89 Yersinia pestis strains isolated from various ani-mal in foci of Subei County from 1973 to 2017 was extracted.Primers for genotyping by DFR,CRISPR,and MLVA were used in PCR,and agarose electrophoresis was used to determine whether the amplified products were present.Genotypes were deter-mined through comparison against the DFR database of Yersinia pestis in China.The PCR products were sequenced and com-pared against the online CRISPR database for Yersinia pestis to determine the genotype.The number of VNTR repeats in each strain was calculated through capillary electrophoresis,and the minimum spanning tree was constructed with BioNumerics 7.6 according to the numbers of VNTR repeats from 89 Yersinia pestis strains in Subei County and 11 strains from a Marmota hi-malayana focus in Qinghai Province.The Yersinia pestis strains in Subei County were divided into six main genotypes by DFR:8,7,lb,5,32,and 44.The Yersinia pestis strains were divided into three gene clusters and three genotypes by CRISPR.Ca35'was the main gene cluster in Subei County;the genotype was 26';and the distribution was primarily in Dangchengwan Town,Yuerhong Township,and Shibaocheng Township.Ca7 and CaΔ5'comprised secondary gene clusters,with genotypes 22 and 24,and were distributed in Dangchengwan Town,Yuerhong Township,and Shibaocheng Township.The Yersinia pes-tis strains in Subei County were divided primarily into three clusters:the Dangchengwan Machang cluster,Yuerhong Township cluster and Dangchengwan Town cluster.Therefore,the Yersinia pestis strains in Subei County,divided into major and minor genotypes according to DFR,CRISPR and MLVA,showed different regional distribution characteristics,highly diverse geno-types,and complex population characteristics.These aspects are particularly important in tracing the sources of plague out-breaks.

Objective To explore the association and diagnostic performance of liver imaging reporting and data system(LI-RADS)CT signs with hepatocellular carcinoma(HCC)both in the LI-RADS target population and patients without LI-RADS-defined HCC risk factors.Methods A retrospective analysis was conducted on the data of 435 patients with 482 hepatic lesions confirmed by pathology.Of these,306 cases were assigned to the HCC group(327 HCC lesions),and other 129 cases were assigned to the non-HCC group(77 malignancies and 78 benign lesions).Receiver operating characteristic(ROC)curve analysis assessed the diagnostic performance of LI-RADS v2018 CT signs for HCC,and logistic regression analyses determined the association of CT signs with HCC.Results The asso-ciation of CT signs with all HCC lesions was statistically significant for non-peripheral washout[odds ratio(OR)15.1;95％ confi-dence interval(CI)5.6-40.4;P＜0.01]and non-rim arterial phase hyperenhancement(APHE)(OR 12.4;95％ CI 7.5-20.5;P＜0.01)higher than enhanced capsule(OR 9.9;95％ CI 2.8-34.8;P＜0.01;OR 2.4;95％ CI 1.4-3.8;P=0.01).The sensitivity,specificity,positive predictive value(PPV),and area under the curve(AUC)for diagnosing HCC were 85％,83％,91％,and 0.84,respectively for non-peripheral washout;82％,77％,88％ and 0.79,respectively for non-rim APHE;and 31％,98％,97％ and 0.65,respectively for enhanced capsule.Sensitivity(88％ vs 87％),specificity(83％ vs 82％),PPV(92％ vs 91％)and AUC(0.90 vs 0.87)were all slightly higher when non-peripheral washout,non-rim APHE,enhanced capsule,and ancillary features were combined for the diagnosis of HCC compared to combining the three major features.Enhanced capsule(OR 13.3;95％ CI 3.6-48.9;P＜0.01),blood products in mass(OR 20.3;95％ CI 2.4-171.4;P＜0.01),and mosaic appearance(OR 37.7;95％ CI 4.2-340.0;P＜0.01)were associations with HCC presenting with atypical imaging features and provided high specificity from 98％ to 99％.Conclusion In theLI-RADS target population and patients without LI-RADS-defined HCC risk factors,LI-RADS v2018 CT signs show excellent diag-nostic performance for HCC.Two ancillary features,blood products in mass and mosaic appearance,show good specificity for HCC with atypical imaging features.

Objective To explore the feasibility and corresponding implementation methods of constructing a sample resource bank based on individual-level data of completed clinical trials and using it to construct external controls for drug/device clinical trials.Methods Taking the pre-marketing clinical trial of transcatheter active valve replacement(TAVR)for the treatment of aortic valve stenosis as an example,the individual-level databases of multiple trials were standardized to form a sample bank.The original data of any trial in the sample bank were selected as the experimental group,and the remaining samples were selected as the control group.The potential confounding was handled by using the propensity score matching and stratification methods to clarify the process of constructing external controls based on the sample bank of individual-level data of clinical trials.Results This study included individual-level data of single-group trials of 4 TAVR devices,with a total of 569 subjects(59.2%male).The number of subjects in Trials 1 to 4 was 120,120,163,and 166,respectively.Propensity score matching enabled the matching of 113,117,125,and 147 subjects with comparable or similar characteristics from individual-level data from other trials,respectively,demonstrating a high matching success rate.The PS score distribution plot after stratification showed that the proportions of subjects in the experimental and control groups in strata 1 to 5 in scheme 1 were 4/103,11/103,22/92,32/87,and 51/64,respectively.For all constructed external controlled trials,a certain number of control samples with similar baseline characteristics to the experimental groups were distributed within each propensity score stratum.The results of the simulation test also reflected the potential differences between different devices in the 12-month all-cause mortality rate.Conclusions The sample bank constructed with individual-level data from clinical trials,as a high-quality data source,can serve as a source of external control for single-arm trials in the same field,and as a useful supplement to the external control scenario of real-world evidence to support drug and device development.At the same time,targeted research on research methods and bias control measures in related fields is also needed.

Objective:To investigate the implementation status of periodic risk evaluation reports(PRER)for medical devices in China,so as to provide references for adapting the development of vigilance system for medical device,and improving the PRER system.Methods:A questionnaire was self-designed,which was online distributed to registrants and filing persons for medical devices,domestic agent for imported medical devices,and the relevant persons of monitoring agencies for adverse events of medical device at all grades through monitoring agencies of each provincial grade in China,so as to understand the evaluation and suggestion of the relevant agencies of medical devices for the PRER work.Combined with review status and special inspection results of all monitoring agencies for PRER,and compared with guidelines of the European Union's Periodic Safety Update Reports(PSURs),the existing issues in the PRER for medical devices in China were analyzed at present.Results:A total of 4,377 valid questionnaires were returned,the respondents by 64.95%acknowledged that PRER can aid stakeholders to identify products'risks.Additionally,the respondents by 41.28%acknowledged that the medical devices of Class I and renewal registrations need be simplify in the PRER,and the respondents by 57.69%considered the frequency of writing and submitting reports should be adjusted.Conclusion:This article combined with the requirements of pilot work of vigilance for medical device,and recommended to strengthen risk analysis in PRER,and streamline reporting formats,and improve the top-level design of safety supervision after medical devices enter the market in China.These measures will promote the supervision and management system of China for medical device to integrate with international standards,and enhance the international competitiveness of the domestically medical device industry.

Objective:To develop a rapid assessment scale for healthy aging suitable for the Chinese population.Methods:Based on existing healthy aging assessment scales, national standards, and expert consensus, an initial Healthy Aging Rapid Assessment Scale was drafted through two rounds of expert consultation. A pre-survey was conducted with 3 220 subjects recruited from Guangzhou between July 2023 and July 2024. Items were screened through item analysis and exploratory factor analysis to form the final scale. Reliability and validity of the final scale were validated across five cities: Guangzhou, Dongguan, Shenzhen, Baoding, and Chuxiong.Results:The initial version comprised 36 items, while the finalized scale contained 18 items across three dimensions: metabolic health, mental health, and cognitive health. Test-retest reliability ranged from 0.71 to 0.81 across all study sites. The Spearman-Brown coefficient varied between 0.91-0.96, Cronbach′s α between 0.77-0.83, comparative fit index (CFI) between 0.90-0.98, goodness-of-fit index (GFI) between 0.90-0.99, and root-mean-square error of approximation (RMSEA) between 0.03-0.09. For the three dimensions, reliability and validity metrics demonstrated consistency: Spearman-Brown coefficients 0.87-0.99, Cronbach′s α 0.77-0.83, CFI 0.90-0.98, GFI 0.90-0.99, and RMSEA 0.03-0.09 across four regions.Conclusion:The developed Healthy Aging Rapid Assessment Scale for the Chinese population exhibits robust reliability and validity.

Objective To investigate and compare the epidemiological characteristics of common respiratory viruses among influenza-like illness(ILI)and severe acute respiratory infection(SARI)cases in Huzhou,Zhejiang Province before and after the COVID-19 pandemic,so as to provide a basis for formulating and adjusting the prevention and control strategies for viral respiratory infectious diseases.Methods ILI and SARI cases at two influenza surveillance sentinel hospitals in Huzhou and had throat swab samples collected during Nov 2017 to Feb 2020(pre-COVID-19 pandemic period)and Dec 2022 to Apr 2024(post-COVID-19 mitigation phase)were selected as the participants.Seven common viral respiratory pathogens were tested,including influenza A virus(H1N1 and H3N2 subtypes),influenza B virus(Victoria lineage,FluB),respiratory syncytial virus(RSV),rhinovirus(HRV),adenovirus(ADV),and severe acute respiratory syndrome coronavirus-2(SARS-CoV-2).The positive rates of respiratory pathogens before and after the COVID-19 pandemic were compared across different age groups and different time.Results A total of 7 948 ILI samples and 2 294 SARI samples were included.The overall positive rate of ILI samples increased from 33.6%to 47.1%,primarily due to the increase in influenza and COVID-19 infections;the overall positive rate of SARI samples decreased from 31.4%to 24.8%,mainly due to the reduction in HRV and ADV infections.During the post-COVID-19 mitigation phase,SARS-CoV-2(22.1%),H3N2(12.7%),and FluB(6.0%)were the primary pathogens in ILI samples,while RSV(7.1%),H3N2(5.3%),and HRV(4.5%)dominated in SARI samples.During the post-COVID-19 mitigation phase,the influenza virus circulation period was shortened.Before the COVID-19 pandemic,RSV was mainly detected in autumn and winter,while during the post-COVID-19 mitigation phase,out-of-season RSV epidemics were observed in spring and summer.Co-infection rate in ILI cases increased significantly in the post-COVID-19 mitigation phase,predominantly consisting of co-infections of COVID-19 and influenza A virus,while co-infection rate in SARI cases showed a decline.Conclusion We found important epidemiological changes in respiratory viruses in Huzhou during the post-COVID-19 mitigation phase compared to pre-COVID-19 period,including increased positive rates of influenza and COVID-19,and disruptions to the seasonal patterns of influenza and RSV.The prevention and control strategies should be adjusted in a timely manner based on the monitoring data.