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.

AIM: To investigate differences in ocular biological parameters and refractive status among children with unilateral congenital ptosis.METHODS:This was a retrospective cohort study enrolling patients with unilateral congenital ptosis in the Department of Ophthalmology, Xi'an Children's Hospital between August 2018 and March 2025, with the contralateral healthy eyes serving as the control group. All patients underwent a detailed ophthalmic examination to assess the degree of ptosis and evaluate refractive errors. Biometric measurements were performed using the IOL Master 700 biometer, including axial length(AL), central corneal thickness(CCT), anterior chamber depth(ACD), lens thickness(LT), and astigmatism(AST).RESULTS:A total of 100 eyes from 100 children(affected eye group)with unilateral congenital ptosis were enrolled, and their 100 contralateral normal eyes without ptosis were set as the control group(healthy eyes group). Among the subjects, there were 67 males(67%)and 33 females(33%), with a mean age of 6.43±2.47 y; 45 affected eyes were the right eye and 55 were the left eye. Among the 100 patients, mild, moderate, and severe ptosis accounted for 7%, 21%, and 72%, respectively. The incidence of amblyopia in patients with unilateral congenital ptosis was 32%, all of which occurred in the affected eye. Compared with the healthy eye group, K2(total)and K2(severe ptosis)in eyes with severe ptosis were significantly lower(P<0.05), indicating that the cornea in the ptotic eye was flatter. In patients with moderate ptosis, the affected eye had a significantly greater corneal thickness(CCT)compared to the healthy eye(P<0.05), indicating that the corneas of eyes with moderate ptosis were thicker. The incidence of against-the-rule and oblique astigmatism in the affected eye group(39%)was significantly higher than that in the healthy eye group(14%); there was a significant difference in the corneal astigmatism axis between the affected and healthy eye groups(P<0.01). There were no differences in refractive status or biological parameters such as AL, K1, AST, ACD, and LT between the affected and healthy eyes.CONCLUSION:Congenital ptosis can affect refractive errors, lead to oblique and against-the-rule astigmatism, increase the prevalence of amblyopia, and also result in corneal thickening and flattening. However, it has minimal effects on AL, LT, and ACD.

Sepsis exhibits substantial biological heterogeneity. Transcriptome-based subtyping systems， such as sepsis response signature （SRS） subtypes， molecular diagnosis and risk stratification of sepsis （MARS）， inflammation/adaptive/coagulation subtyping， and consensus transcriptomic subtypes， have provided a crucial basis for elucidating the molecular mechanisms of sepsis and guiding precision treatment. Using a literature review approach， this study systematically summarizes the immune subtyping systems of sepsis and their molecular basis， and explores the potential correspondence between traditional Chinese medicine （TCM） syndromes and immune subtypes. It is found that the heat-toxin syndrome tends to correspond to the hyperinflammatory subtype， the stasis-toxin syndrome to the coagulopathy subtype， and the deficiency syndrome to the immunosuppressive subtype. These findings may provide new insights for precision therapy of sepsis through integrated Chinese and western medicine.

Objective To evaluate the predictive value of a nomogram model developed by integrating clinical and ultrasound multiparameters for HER-2-positive breast cancer.Methods This study retrospectively enrolled 343 patients with pathologically confirmed breast cancer from three medical centers and randomly divided them into training and validation cohorts.Univariate analysis,LASSO regression,and multivariate logistic regres-sion were conducted on the training set to identify independent prognostic factors and construct a nomogram model.Bootstrap resampling with 1000 iterations was performed to evaluate the model's robustness.Model calibration was assessed using calibration curves and the Hosmer-Lemeshow goodness-of-fit test.Receiver operating characteristic(ROC)curves were generated to evaluate model discrimination,and the area under the curve(AUC)along with other performance metrics were calculated.Decision curve analysis was employed to assess the clinical utility of the model,and the validation cohort was used for external validation.Results Univariate,LASSO,and multivariate regression analyses demonstrated that age,TTP(time to peak),and the presence of a filling defect sign were independent predictors of HER-2-positive breast cancer(all P<0.05).Based on these independent predictors,a nomogram model was constructed.Bootstrap validation with 1,000 resamples indicated that the model's predictive performance was stable.The Hosmer-Lemeshow test confirmed satisfactory model calibration,while the calibration curve illustrated accurate prediction probabilities.The area under the curve(AUC)for the training set was 0.863(95%CI:0.806～0.920),and for the validation set,it was 0.846(95%CI:0.764～0.929),indicating strong discriminative and generalization capabilities.Additionally,the clinical decision curve analysis demonstrated favor-able clinical utility.Conclusion A nomogram model integrating clinical and multimodal ultrasound parameters demonstrates potential utility in predicting HER-2-positive breast cancer.

Lung cancer is the malignant tumor with the highest incidence and mortality rates globally. Current treatment methods for lung cancer primarily include surgery， chemotherapy， targeted therapy， and immunotherapy. However， the main limitations of these treatments are their side effects， the drug resistance， and the economic burden they impose. As a critical cancer pathway， the Janus kinase （JAK）/signal transducer and activator of transcription （STAT） signaling pathway regulates tumor occurrence and development through multiple mechanisms by influencing various downstream targets. Consequently， the JAK/STAT signaling pathway offers a promising avenue for lung cancer treatment research. Numerous studies have demonstrated that the JAK/STAT signaling pathway plays a key role in the proliferation and growth of lung cancer cells， angiogenesis， epithelial-mesenchymal transition （EMT）， metabolic alterations， remodeling of the immune microenvironment， and the development of treatment resistance. Traditional Chinese medicine （TCM） has garnered increasing attention due to its minimal side effects， low economic burden， and its potential to enhance efficacy and reduce toxicity when used in conjunction with Western medicine. In addition to traditional Chinese medicine compounds， a growing number of Chinese medicine monomers have come into the spotlight because of their more targeted effects. Numerous studies investigating the regulation of the JAK/STAT signaling pathway by TCM in the treatment of lung cancer have demonstrated that TCM can inhibit the proliferation and invasion of lung cancer cells， tumor angiogenesis， and EMT， improve the inflammatory and immunosuppressive microenvironments， and enhance treatment sensitivity by intervening in the JAK/STAT signaling pathway， thereby impeding the progression of lung cancer. In recent years， the research on the regulation of this pathway by TCM in the treatment of lung cancer has been updated rapidly. However， the summary of these studies has not been updated in time. This review summarizes and reflects on the recent research findings regarding the regulation of the JAK/STAT signaling pathway by TCM to intervene in lung cancer from three aspects， introducing the JAK/STAT pathway， elaborating the mechanism of this pathway in lung cancer， and exploring the intervention of TCM in the treatment of lung cancer through this pathway， to provide more reference for the treatment of lung cancer in the future.

Objective To evaluate the predictive value of a nomogram model developed by integrating clinical and ultrasound multiparameters for HER-2-positive breast cancer.Methods This study retrospectively enrolled 343 patients with pathologically confirmed breast cancer from three medical centers and randomly divided them into training and validation cohorts.Univariate analysis,LASSO regression,and multivariate logistic regres-sion were conducted on the training set to identify independent prognostic factors and construct a nomogram model.Bootstrap resampling with 1000 iterations was performed to evaluate the model's robustness.Model calibration was assessed using calibration curves and the Hosmer-Lemeshow goodness-of-fit test.Receiver operating characteristic(ROC)curves were generated to evaluate model discrimination,and the area under the curve(AUC)along with other performance metrics were calculated.Decision curve analysis was employed to assess the clinical utility of the model,and the validation cohort was used for external validation.Results Univariate,LASSO,and multivariate regression analyses demonstrated that age,TTP(time to peak),and the presence of a filling defect sign were independent predictors of HER-2-positive breast cancer(all P<0.05).Based on these independent predictors,a nomogram model was constructed.Bootstrap validation with 1,000 resamples indicated that the model's predictive performance was stable.The Hosmer-Lemeshow test confirmed satisfactory model calibration,while the calibration curve illustrated accurate prediction probabilities.The area under the curve(AUC)for the training set was 0.863(95%CI:0.806～0.920),and for the validation set,it was 0.846(95%CI:0.764～0.929),indicating strong discriminative and generalization capabilities.Additionally,the clinical decision curve analysis demonstrated favor-able clinical utility.Conclusion A nomogram model integrating clinical and multimodal ultrasound parameters demonstrates potential utility in predicting HER-2-positive breast cancer.

Chimeric antigen receptor T (CAR-T) cell therapy achieved advanced progress in the treatment of hematological tumors. However, the application of CAR-T cell therapy for solid tumors still faces many challenges. Competition with tumor cells for metabolic resources in an already nutrient-poor tumor microenvironment is a major contributing cause to CAR-T cell therapy’s low effectiveness. Abnormal metabolic processes are now acknowledged to shape the tumor microenvironment, which is characterized by increased interstitial fluid pressure, low pH level, hypoxia, accumulation of immunosuppressive metabolites, and mitochondrial dysfunction. These factors are important contributors to restriction of T cell proliferation, cytokine release, and suppression of tumor cell-killing ability. This review provides an overview of how different metabolites regulate T cell activity, analyzes the current dilemmas, and proposes key strategies to reestablish the CAR-T cell therapy’s effectiveness through targeting metabolism, with the aim of providing new strategies to surmount the obstacle in the way of solid tumor CAR-T cell treatment.

Methicillin-anti staphylococcus aureus(MRSA) is one of the common pathogenic bacteria in hospital infection. Many asymptomatic MRSA carriers have been found in clinical practice, which can not only transmit the strain to others, but also cause secondary infection due to their own reasons. Decolonization measures can reduce the number of MRSA colonizers, thereby reducing the risk of endogenous infection and secondary transmission. Early identification is the first step to prevent transmission and secondary infection, which requires high accuracy and sensitivity of detection methods. Xpert MRSA/SA assay (Cepheid, Sunnyvale, CA, USA) may be a better choice, which can shorten the time of traditional methods, and has high specificity and sensitivity. Unlike other rapid detection methods, the Xpert MRSA/SA assay may be more suitable for MRSA colonisation detection.

【Objective】 To measure and analyze foot development indicators of children under 3 years old, in order to provide basis for the correct clinical assessment of children foot development. 【Methods】 A total of 5 894 children under 3 years old who took physical examination in the Child Health Care Department of Xi′an People′s Hospital from August 2022 to March 2023 were randomly selected. Foot length, foot width, the ratio of foot width to length and arch index were measured by image processing system, and were compared among different age groups and sex groups. 【Results】 1) Foot length, foot width and arch index of children under 3 years old increased significantly with age, while the ratio of foot width to length decreased significantly with age(F=1 345.23, 396.21,184.65, 287.03, P<0.05). 2) There was no statistical significance in foot length, foot width and arch index between left and right foot of children under 3 years old(P>0.05). 3) Foot length and foot width of boys were greater than those of girls in all age groups, and the difference was statistically significant(tfoot length:3.45 - 10.19, tfoot width: 3.77 - 9.21, P<0.05). There was no significant difference in arch index between boys and girls in all age groups(P>0.05). 【Conclusion】 Foot shape of children under 3 years old changes with age, there are differences in foot length and width between boys and girls.

Objective:Through comprehensive analysis of symptoms and signs, biochemistry, imaging, and dynamic tests, to explore the diagnosis and differential diagnosis of thyrotropin-secreting pituitary adenoma(TSH adenoma) and syndrome of resistance to thyroid hormone(RTH).Methods:A retrospective analysis was conducted on clinical data from 14 patients who visited the First Affiliated Hospital of Zhengzhou University from July 2016 to September 2022, exhibiting elevated levels of free thyroxine(FT4) and free triiodothyronine(FT3) in the presence of increased TSH.Results:There were 7 cases of TSH adenoma and 7 cases of RTH, with the average age of diagnosis at 40.0 years and 26.6 years, respectively. Thirteen patients showed thyrotoxicosis or occasional palpitation, some with pituitary occupancy manifestations or abnormal growth and development; One patient presented with neck thickening. Sex hormone binding globulin was elevated in 3 cases of TSH adenoma. Pituitary magnetic resonance imaging showed that all 7 cases of TSH adenoma were macroadenomas and 1 case of RTH was microadenoma. The octreotide suppression test in 13 patients was inhibited, but there was a significant difference in the inhibition rate of 24 h/2 h TSH inhibition rate of TSH adenoma and RTH, ranging from 46.6% to 83.9% and 4.6% to 28.8% respectively. Six cases of RTH had thyroid hormone receptor β mutation.Conclusion:Syndrome of inappropriate secretion of thyrotropin is a rare condition, mainly including TSH adenoma and RTH. The diagnosis and differentiation of the two conditions require comprehensive assessment incorporating family history, symptoms and signs, laboratory tests, dynamic test, and genetic test. Among these, the 24 h/2 h TSH inhibition rate of octreotide suppression test can effectively distinguish TSH adenoma from RTH.