Objective To explore an artificial intelligence (AI)-based method for automated hand hygiene monitoring and to compare the effectiveness of three algorithms (UniFormerV2, TDN, C3D) in recognizing hand hygiene steps in surgical settings, thereby aiding hospital infection control. Methods From April to October 2024, we non-invasively collected 641 video recordings of healthcare staff performing hand hygiene at four-bay scrub sinks in two tertiary hospitals using overhead HD cameras. The dataset was annotated by five trained experts for model training and validation. Results Following training on 385 samples, internal validation (n=119) showed the C3D model achieved 81% accuracy, 87% recall, and an 83% F1-score. The TDN model achieved 93%, 91%, and 92% for the same metrics. The UniFormerV2 model outperformed both, with an accuracy, recall, and F1-score of 93%—an improvement of over 10 percentage points compared to traditional CNNs (TDN, C3D). It also achieved an 84% accuracy in external validation, demonstrating strong generalization. Conclusion The UniFormerV2 model is more accurate than CNN-based models for hand hygiene step recognition and shows robust performance in external validation. It presents a viable tool for healthcare facilities to enhance hand hygiene management, ultimately improving medical quality and patient safety.

ObjectiveThis study aims to investigate the dynamic changes in general body parameters, blood glucose, and blood lipid profiles in obese cynomolgus monkeys, exploring the correlations among these parameters and providing a reference for research on the obese cynomolgus monkey model. Methods30 normal male cynomolgus monkeys aged 5 - 17 years old (with body mass index < 35 kg/m² and glycated hemoglobin content < 4.50%) and 99 spontaneously obese male cynomolgus monkeys (with body mass index ≥35 kg/m² and glycated hemoglobin content < 4.50%) were selected. Over a period of three years, their abdominal circumference, skinfold thickness, body weight, body mass index, fasting blood glucose, glycated hemoglobin, and four blood lipid indicators were monitored. The correlations between each indicator were analyzed using repeated measurement ANOVA, simple linear regression, and multiple linear regression correlation analysis method. Results Compared to the control group, the obese group exhibited significantly higher levels of abdominal circumference, skinfold thickness, body weight, body mass index, and triglyceride (P＜0.05). In the control group, skinfold thickness increased annually, while other indicators remained stable. Compared with the first year, the obese group showed significantly increased abdominal circumference, skinfold thickness, body weight, body mass index, triglyceride, and fasting blood glucose in the second year(P＜0.05), with this increasing trend persisting in the third year (P＜0.05). In the control group, the obesity incidence rates in the second and third years were 16.67% and 23.33%, respectively, while the prevalence of diabetes remained at 16.67%. In the obese group, the diabetes incidence rates were 29.29% and 44.44% in years 2 and 3, respectively. Among the 11-13 year age group, the incidence rates were 36.36% and 44.68%, while for the group older than 13 years, the rates were 28.13% and 51.35%. Correlation analysis revealed significant associations (P＜0.05) between fasting blood glucose and age, abdominal circumference, skinfold thickness, body weight, and triglyceride in the diabetic monkeys. Conclusion Long-term obesity can lead to the increases in general physical indicators and fasting blood glucose levels in cynomolgus monkeys, and an increase in the incidence of diabetes. In diabetic cynomolgus monkeys caused by obesity, there is a high correlation between their fasting blood glucose and age, weight, abdominal circumference, skinfold thickness, and triglyceride levels, which is of some significance for predicting the occurrence of spontaneous diabetes.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective:To construct a quality evaluation index system for perianal infection care in patients with hematologic neoplasms, aiming to establish a standardized approach for care.Methods:A quality evaluation index system for perianal infection management in patients with hematologic neoplasms was developed from January to June 2023 using Donabedian′s "Structure- Process- Outcome" approach, based on evidence- based literature study and expert conference discussions. An index system for evaluating the quality of perianal infection care in patients with hematologic neoplasms was established through expert consultation, and the weights for each indicator were derived using the analytic hierarchy process.Results:Two rounds of expert consultations were conducted, involving 27 experts aged 30 to 53 (38.85 ± 6.13) years, in which of them there were 1 male and 26 females. The positive coefficients of the experts in the two rounds of consultations were 100.00% (27/27) and 96.30% (26/27), respectively. The expert authority coefficients were 0.874 and 0.881, respectively, and the Kendall coordination coefficients were 0.234 and 0.219 (both P<0.05). The quality evaluation index system for perianal infection management in patients with hematologic neoplasms consisted of 3 main indicators (structural quality, process quality, outcome quality), 12 secondary indicators, and 48 tertiary indicators. Conclusions:The process of developing the quality assessment criteria for perianal infection care in patients with hematologic neoplasms is systematic and yields dependable results. The criteria cover a wide range of aspects and are specific, offering a valuable framework for assessing the quality of perianal infection care in patients with hematologic neoplasms.

Objective To compare the differences in clinical features and treatment choices between periph-eral spondyloarthritis(pSpA)and axial spondyloarthritis(axSpA),and better understand the clinical charac-teristics and medication needs of pSpA.Methods Our study is a retrospective cohort study.The patients who first visited the First Medical Center of Chinese PLA General Hospital between January 2016 and December 2022 and were diagnosed with axSpA or pSpA according to the classification criteria established by the Assess-ment of SpondyloArthritis International Society were selected as the study subjects.Demographic data,clinical characteristics,laboratory tests,and treatment information of these patients were obtained through the electronic medical records management system and the intelligent management system for spondyloarthritis.The research compared the distribution of swollen and tender joints between pSpA and axSpA patients,as well as that between pSpA1(excluding patients with psoriatic arthritis)and axSpA patients.Additionally,we analyzed differences in clinical features and treatment options among these groups.Results A total of 1639 pa-tients were included in the study,of which 184 had pSpA(including 97 with psoriatic arthritis),and 1455 had axSpA.Compared to axSpA patients,pSpA patients had fewer male patients(62.5％vs.79.7％,P＜0.001),later onset age(33.8 years vs.22.0 years,P＜0.001),shorter diagnostic delays(6.0 months vs.14.2 months,P=0.004),more associated peripheral arthritis(71.7％vs.9.3％,P＜0.001)and dac-tylitis(6.5％vs.0.3％,P＜0.001),more cases of psoriasis(52.7％vs.1.1％,P＜0.001)and a more common family history of psoriasis(11.4％vs.3.4％,P＜0.001).pSpA patients had higher levels of in-flammatory markers but a lower positive rate of human leukocyte antigen(HLA)-B27(43.5％vs.87.4％,P＜0.001).A positive HLA-B27 was associated with an earlier onset age,fewer cases of psoriasis,and a fami-ly history of ankylosing spondylitis.pSpA patients had a higher proportion of using conventional synthetic dis-ease-modifying antirheumatic drugs(csDMARDs),biologic disease-modifying antirheumatic drugs(bDMARDs),and oral glucocorticoids,and they also more frequently used a combination of bDMARDs and csDMARDs(19.0％vs.12.2％,P=0.009)or multiple csDMARDs(65.8％vs.12.5％,P＜0.001).Compared to axSpA patients,pSpA1 patients(excluding psoriatic arthritis)did not show significant differences in the prevalence of psoriasis,uveitis,family history of psoriasis,or the use of bDMARDs,but the subgroup analysis of other variables was consistent with the results of pSpA patients.Conclusions pSpA patients tend to have a later onset of disease,a lower proportion of male and HLA-B27 positivity,more associ-ated peripheral arthritis,dactylitis,psoriasis,and a more common family history of psoriasis.The disease bur-den in terms of treatment for pSpA is not lower than that for axSpA.Due to the presence of more peripheral symptoms,psoriasis,and higher levels of inflammation,they also require more medication.

Cancer incidence in China has been rising steadily,with a particularly heavy burden from several high-prevalence malignancies.Medical examination for cancer plays a critical role in the early detection of cancer,precancerous lesions,and precursor conditions,thereby facilitating timely diagnosis and intervention.Such examination also addresses the growing demand for person-alized cancer screening services among diverse population groups.The development of evidence-based,context-specific cancer screening guidelines is essential to enhance the standardization,quality,and equity of preventive screening practices across the country,ultimately improving out-comes in early cancer detection and treatment.Guided by the Department of Medical Emergency Response of the National Health Commission,the Guidelines for Medical Examination for Cancer in Health Examination Agency(2025 Edition)were developed under the leadership of the National Cancer Center.A multidisciplinary panel of experts formulated the guidelines in accordance with the principles and methodology of the World Health Organization Handbook for Guideline Deve-lopment.The guidelines provide evidence-based recommendations on key clinical domains:target cancers and populations,overall screening workflow,screening protocols,diagnostic technolo-gies,result interpretation,follow-up procedures,and quality control.The primary objective is to standardize cancer screening practices in health examination agency and strengthen China's ca-pacity for prevention and control of high-burden cancers.

Aim To explore the possible regulatory effect of leptin on acyl-CoA synthetase long chain fami-ly member ACSL5 and their effect on migration and in-vasion of breast cancer cell,and to explore the underly-ing mechanism.Methods The expression of leptin receptor was detected by immunofluorescence assay.The migration and invasion ability of MCF-7 cells were detected by wound healing assay and Transwell assay respectively.The downstream target gene of leptin was analyzed by PCR microarray data.The expression of ACSL5 in breast cancer and its correlation with the staging and prognosis of breast cancer patients were as-sessed uing bioinformatics methods.The expression of ACSL5 in MCF-7 cells treated with different concentra-tions of leptin was detected using real time fluorescence quantitative polymerase chain reaction(RT-qPCR).Overexpressing ACSL5 was constructed by lentiviral transfection;the expressions of EMT related proteins,AMPK-α and p-AMPK-α were detected by Western blot.Results Leptin promoted breast cancer cell mi-gration and invasion and EMT.ACSL5 was significant-ly low expressed in breast cancer and related to progno-sis.Leptin downregulated the expression of ACSL5 through OBR.Leptin activated AMPK pathway to downregulate ACSL5 and promote migration,invasion and EMT of breast cancer cells.Conclusions Leptin may promote the migration,invasion and EMT of breast cancer by downregulating ACSL5 through activating AMPK pathway.

Aim To investigate the intervention effect of Rehmannia radix water extract on bleomycin(BLM)-induced pulmonary fibrosis in mice combined with metabolomics and to reveal the potential mechanism,in order to provide new ideas for clinical treatment of pul-monary fibrosis.Methods Male C57BL/6N mice were randomly divided into the control group,model group,pirfenidone group(positive control,PFD,270 mg·kg-1),and low dose(DH-L,4.55 g·kg-1)group,medium dose(DH-M,9.1 g·kg-1)group and high dose(DH-H,18.2 g·kg-1)group of Rehman-nia.Except for the control group,BLM(5 mg·kg-1)was instilled into the trachea to establish the model of pulmonary fibrosis in the other groups.The survival rate,lung index and blood oxygen saturation of mice in each group were evaluated.HE and Masson staining were used to observe the pathological changes of lung tissue.WBP was used to detect lung function.Flow cytometry was used to detect the apoptosis of primary lung cells,ROS and immune cells.ELISA was used to detect the levels of fibrosis markers and inflammatory factors(α-SMA,collagen Ⅰ,collagen Ⅲ,TGF-β1,TNF-α,IL-1 β,and IL-6).Biochemical method was employed to detect the contents of GSH-Px,T-SOD and MDA.Liquid chromatograph mass spectrometer(LC-MS)metabolomics was used to analyze the changes of serum metabolic profile.Results Water extract of Re-hmannia significantly increased the survival rate,oxy-gen saturation and lung function of mice with pulmona-ry fibrosis,reduced the lung coefficient,ameliorated pathological damage and collagen deposition in lung tissue,reduced the levels of apoptosis and oxidative stress,and down-regulated the levels of inflammatory factors in lung tissue.It regulated the levels of metabo-lites such as bile acid metabolism,sphingolipid metabo-lism,and unsaturated fatty acid metabolism.Conclu-sions Water extract of Rehmannia inhibits lung injury and collagen deposition in mice with pulmonary fibrosis by inhibiting inflammatory response,which may be a-chieved by regulating the levels of inflammatory factors through the metabolic pathways of bile acid and sphin-golipid.

Objective To analyze the characteristics of adverse events of disposable hemoperfusion devices in real-world clinical practice using multicenter data,and to investigate the influencing factors of hypotension,providing evidence for the safe clinical use of these devices.Methods An observational study was conducted involving patients who received disposable hemoperfusion therapy across 17 sentinel hospitals in China from June 2022 to July 2024.Device-related adverse events were monitored and analyzed.Descriptive statistics,Firth's Logistic regression model,and balanced random forest model were applied to systematically evaluate the manifestations of adverse events and the risk factors for the occurrence of hypotension.Results A total of 17,824 usage records were included.In the sentinel hospital data,hypotension[0.19％,95％CI(0.14％,0.27％)]and hemoperfusion occlusion[0.13％,95％CI(0.09％,0.19％)]occupied the highest incidence rate.The Firth's Logistic regression analysis revealed that end-stage renal disease with comorbidities significantly increased hypotension risk(OR=77.324),while no prior medical history was protective(OR=0.061).Stepwise blood purification modalities(hemoperfusion alone or sequential hemoperfusion-hemodialysis)significantly reduced the hypotension risk compared with simultaneous hemoperfusion and hemodialysis(OR=0.003).The random forest model further confirmed that blood purification modality was the strongest influencing factor for hypotension.Conclusion In real-world clinical settings,hypotension and device occlusion were the predominant adverse events,with blood purification modality critically influencing hypotension risk.Stepwise blood purification is recommended to mitigate this risk.Enhancing clinical operating procedures and device design is essential to improve overall treatment safety.

Objective:To construct a quality evaluation index system for perianal infection care in patients with hematologic neoplasms, aiming to establish a standardized approach for care.Methods:A quality evaluation index system for perianal infection management in patients with hematologic neoplasms was developed from January to June 2023 using Donabedian′s "Structure- Process- Outcome" approach, based on evidence- based literature study and expert conference discussions. An index system for evaluating the quality of perianal infection care in patients with hematologic neoplasms was established through expert consultation, and the weights for each indicator were derived using the analytic hierarchy process.Results:Two rounds of expert consultations were conducted, involving 27 experts aged 30 to 53 (38.85 ± 6.13) years, in which of them there were 1 male and 26 females. The positive coefficients of the experts in the two rounds of consultations were 100.00% (27/27) and 96.30% (26/27), respectively. The expert authority coefficients were 0.874 and 0.881, respectively, and the Kendall coordination coefficients were 0.234 and 0.219 (both P<0.05). The quality evaluation index system for perianal infection management in patients with hematologic neoplasms consisted of 3 main indicators (structural quality, process quality, outcome quality), 12 secondary indicators, and 48 tertiary indicators. Conclusions:The process of developing the quality assessment criteria for perianal infection care in patients with hematologic neoplasms is systematic and yields dependable results. The criteria cover a wide range of aspects and are specific, offering a valuable framework for assessing the quality of perianal infection care in patients with hematologic neoplasms.