Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To evaluate the efficacy of the venous thromboembolism(VTE)digital risk prevention and control platform based on whole-process closed-loop management for the quality management of VTE in Peking University Shenzhen Hospital.Methods The data of 360 718 hospitalized patients from 2021 to 2024 were collected to analyze the rate of VTE risk assessment,the proportion of VTE intermediate and high-risk patients,the rate of VTE prophylaxis implementation(physical/pharmacological),and the VTE outcome indexes,and the differences between groups were verified using the Cochran-Armitage χ2 trend test.Results The VTE initial risk assessment rate,the implementation rate of VTE physical prophylaxis,and the rate of VTE pharmacological prophylaxis all showed an upward trend;the incidence rate of hospital correlated VTE,and the incidence rate of VTE in hospitalized surgical patients all showed a downward trend.Conclusion The establishment of the VTE digital risk prevention and control intelligent platform can effectively improve the level of standardized prevention and treatment of in-hospital VTE and the efficacy of quality management,and provide a digital management paradigm for the implementation of the national healthcare quality and safety improvement goals and the monitoring indicators of surgical quality and safety improvement actions.

Objective:To analyze the human immunodeficiency virus (HIV) screening status and the resulting residual risk (RR) among blood donors across 17 provincial blood centers in China.Methods:This study used a cross-sectional study. Data on HIV infection markers per 100 000 first-time donors (FD) and repeat donors (RD) from January 2015 to December 2024 were extracted from the National Blood Establishment Performance Comparison Information Management System. Questionnaires were used to collect each center′s HIV screening strategy, algorithm, serological test (ST) kit manufacturers, gray-zone setting for ST, and nucleic acid test (NAT) modality, method, and platform. The incidence-window-period model was used to calculate the residual risk for first-time donors (RR FD), repeat donors (RR RD), and total donors (RR TD) at each center. Horizontal and vertical analysis of RR FD, RR RD, and RR TD across centers and years were performed. Results:All 17 centers applied the same HIV screening strategy which was two rounds of ST followed by one round of NAT. Eight of them operated a single screening algorithm, six employed two algorithms and three used three. Eleven centers used both imported and domestic ST kits, five relied on domestic ST kits only, and one used imported ST kits only, while four centers never set a grey zone for ST throughout the decade. For NAT modalities, eight centers adopted both individual nucleic acid test (ID-NAT) and minipool nucleic acid test (MP-NAT), eight used MP-NAT only and one used ID-NAT only. Seven centers combined transcription mediated amplification (TMA) and polymerase chain reaction (PCR), nine used PCR only and one used TMA only, and fourteen centers ran both imported and domestic NAT systems, two used imported systems only and one used a domestic system only. Over the ten-year period, the mean RR FD across the centers ranged from 2.22 to 12.33 per 10 6 person-years, RR RD from 0.83 to 3.29 per 10 6 person-years and RR TD from 1.59 to 9.29 per 10 6 person-years, with center Z4 consistently showing the lowest values for all three metrics and center U4 recording the highest RR FD and RR TD, while center D2 had the highest RR RD. In 2024 compared with 2015, eleven centers achieved a lower RR FD and ten centers achieved lower RR RD and RR TD. The RR FD and RR TD of centers W2 and U4 displayed pronounced fluctuations and an upward trend in recent years. Conclusions:The 17 provincial blood centers maintain consistent HIV screening strategies, while demonstrating variations in screening algorithm, ST kit manufacturers, NAT modalities, methods, and platform. And the RR FD, RR RD, and RR TD differ across centers. Although most centers show declining trend in RR over the ten-year period, some centers exhibite data fluctuations with a rising trend, suggesting potential for further optimization of HIV screening protocols.

Objective To explore the roles of transfer RNA-derived small RNAs(tsRNAs)in the oncogenesis and progression of lung adenocarcinoma by analyzing the differential expression of tsRNAs in lung adenocarcinoma and the relationship between the expression levels of tsRNAs in lung adenocarcinoma and the prognosis of patients in order to further screen and validate the tsRNAs associated with lung adenocarcinoma.Methods The differential expression of tsRNAs between lung adenocarcinoma tissues and normal tissues was analyzed based on the database of the Computational Medicine Center.The effects of tsRNAs expression levels on the prognosis of lung adenocarcinoma patients were analyzed based on the Cancer Genome Atlas(TCGA)database(TCGA-LUAD).The target genes were predicted based on TRFtarget2.0 and tRFTar databases.Gene ontology(GO)enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis were performed based on DAVID and KOBA KEGG online websites.The expression levels of target genes in lung adenocarcinoma tissues and normal tissues were analyzed based on the University of ALabama at Birmingham CANcer data analysis Portal(UALCAN)database.In vitro cell proliferation,migration,and invasion assays were performed to investigate the biological functions of tRF-19-69M8LOJX in lung adenocarcinoma cells.Results Compared with the normal tissues,tRF-19-69M8LOJX was up-regulated in lung adenocarcinoma tissues(log2FC=4.28,FDR＜0.05).High expression level of tRF-19-69M8LOJX was associated with shorter progression-free survival(HR=1.565,95％CI=1.142-2.145,P=0.005).And its overexpression promoted cell proliferation and migration(P＜0.001),and invasion(P=0.009)of A549 cells,and up-regulated COL1A1(P=0.002)and VCAN(P=0.022)significantly in the tRF-19-69M8LOJX overexpression cell model.Conclusion tRF-19-69M8LOJX is up-regulated in lung adenocarcinoma tissues.And its high expression is closely associated with poor prognosis.The tsRNA may play an important role in the pathogenesis and development of lung adenocarcinoma.

OBJECTIVES: To analyze the disease burden and inequalities of lower extremity peripheral artery disease (LEPAD) among people aged 40 and above in the Belt and Road partner countries from 1990 to 2021. METHODS: Data were retrieved from the Global Burden of Disease 2021 database. The age-standardized prevalence rates, mortality rates, and the annual rate of years lived with disability (YLDs) of LEPAD were analyzed. Trends were measured using the estimated annual percentage change (EAPC), and the slope index of inequality (SII) and concentration index were used to quantify the absolute and relative inequalities. RESULTS: In 2021, the age-standardized prevalence and mortality rates of LEPAD were 3168.26/10⁵ and 3.09/10⁵, increasing by 4.30% and 19.31% compared to 1990, while YLDs rates decreased by 4.00%. Females had higher age-standardized prevalence and YLDs rates, while males had higher mortality rates. The EAPC for prevalence rates was slightly higher in males (0.22%) than in females (0.17%); while the EAPC of age-standardized mortality rate was 2.02% for females, compared to 1.45% for males. From 1990 to 2021, the age-standardized YLDs rates decreased from 16.23/10⁵ to 15.58/10⁵, with a faster decline in females (－0.12%) than in males (－0.06%). LEPAD prevalence varied across countries, with higher burden in Europe and faster growth in Gulf states. Higher socio-demographic index countries had higher prevalence. Inequity improved, with the SII at 52.90/10⁵ and concentration index at 0.038 in 2021. Gender disparities persisted, with concentration index increased to 0.058 in females and reduced to －0.026 in males. CONCLUSIONS LEPAD prevalence and mortality among people aged 40 and above in the Belt and Road partner countries increased, while YLDs rates decreased from 1990 to 2021. Significant differences among people exist depending on gender and country, highlighting the need for enhanced screening, health education, and shared public health strategies across the Belt and Road partner countries.
Humans ; Peripheral Arterial Disease/mortality* ; Male ; Female ; Middle Aged ; Adult ; Aged ; Prevalence ; Lower Extremity/blood supply* ; Global Burden of Disease ; Cost of Illness

Objective:To explore the relationship between suggestion presentation, cognitive load, and adherence to nursing interventions for delirium.Methods:A prospective randomized controlled trial was conducted to recruit 47 nurses from 4 ICU units in Xuanwu Hospital, Capital Medical University from October 2021 to January 2022. They were divided into an intelligent group with 24 participants (using the intelligent nursing system for ICU delirium) and a non-intelligent group with 23 participants (using the paper-version implementation plan of delirium) by the random number table method. The cognitive load levels and adherence to nursing interventions were measured on day 7 of the study. AMOS 28.0 software was used to analyze the relationship between suggestion presentation, cognitive load, and adherence. The mediation effect was tested using the Bootstrap method.Results:In the intelligent group, there were 5 male and 19 female nurses, aged (33.33 ± 5.57) years. In the non-intelligent group, there were 1 male and 22 female nurses, aged (32.65 ± 3.46) years. The scores of extraneous cognitive load, germane cognitive load, and adherence to nursing intervention in the intelligent group were (6.42 ± 1.72), (7.15 ± 1.71) and (0.71 ± 0.05)%, respectively, compared with (7.78 ± 2.08), (6.07 ± 1.48) and (0.58 ± 0.08)% in the non-intelligent group. The differences were statistically significant ( t=6.06, 5.35, 41.47, all P<0.05). The Bootstrap method showed that both extraneous cognitive load (effect size=0.043, 95% CI 0.024 to 0.090, P<0.05) and germane cognitive load (effect size=0.026, 95% CI 0.017 to 0.082, P<0.05) played a partial mediating effect between suggestion presentation and adherence to nursing intervention, the total mediating effect accounted for 17.29%. Conclusions:Using the intelligent system to change the presentation of delirium nursing interventions can reduce the extraneous cognitive load and increase the germane cognitive load of ICU nurses, and then improve the adherence of nurses to implement delirium nursing interventions. Our study provides a clinical practice basis for improving the quality of clinical nursing.

Objective:To describe the research hotspots and development trends of artificial intelligence (AI) in the field of critical care nursing, providing evidence for nursing staff to apply intelligent technology to assist nursing work.Methods:The Web of Science Core Collection database was used as the data source, with a search period from the inception of the database to March 2024. The CiteSpace 6.3.R1 software was used to analyze the included articles.Results:A total of 210 articles were included. The country with the highest number of publications was the United States (86 articles) , and the institution with the most publications was Harvard Medical School (8 articles) . The journal most frequently cited was the Journal of the American Medical Association. The most frequently mentioned keyword was machine learning. The research hotspots included disease risk prediction, clinical nursing decision support, application effect evaluation, and exploration of intelligent technology. The research frontier was focused on outcomes, healthcare, implementation, and nursing education. Conclusions:The research on AI in critical care nursing is receiving increasing attention. Future researcher can continue to explore the impact of AI on clinical outcomes for patients and improve nurses' understanding of AI knowledge. This will provide reference for better application of intelligent technology to assist nursing work.

Objective:To explore the research hotspots and trends of artificial intelligence in elderly delirium, and to provide reference for clinical healthcare professionals.Methods:The Web of Science Core Collection database was used as the data source to obtain literature on "artificial intelligence" and "elderly delirium". The search period was from January 1, 2017 to July 29, 2024. CiteSpace software was used for visual analysis of the included literature.Results:A total of 99 articles were included, with an overall upward trend in the number of publications. The United States had the most publications ( n=43), followed by China ( n=25). The institution with the most publications was Harvard Medical School ( n=8), followed by Sichuan University ( n=7). Journal of the American Geriatrics Society was the most co-cited journal. Based on the keywords, research hotspots mainly focused on the construction and validation of the risk prediction model of elderly delirium, intelligent diagnosis of elderly delirium, and intelligent elderly delirium nursing program. Future studies could explore reliability, ICU and validity. Conclusions:Artificial intelligence is increasingly being researched in elderly delirium to facilitate personalized nursing programs for elderly delirium in all aspects, from disease prediction, risk assessment, early diagnostic monitoring to intervention strategy development. In the future, trends in artificial intelligence research in the field of elderly delirium will revolve around improving the reliability of diagnosis, spreading its use in ICU, and optimizing predictive models.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1％of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9％)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5％)was lower than that in inpatient children(31.5％).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1％)than in inpatient children(59.4％).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14％,11.7％,47.8％in outpatients,but 24.2％,20.6％,and 52.8％in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.