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.

Background Climate change poses a significant threat to public health. In China, relevant health intervention research is still in its early stages, and evidence for evaluating the effectiveness of regional climate change health adaptation strategies and measures is scarce. Objective To investigate the level of climate change-related health literacy among residents in Shenzhen, implement targeted health interventions, and assess the intervention effects as well as their influencing factors. Methods From July 2023 to January 2024, 4 communities were randomly selected in Shenzhen, and a total of 896 community residents were enrolled and divided into an intervention group (444 participants) and a control group (452 participants). Baseline and follow-up surveys on climate change-related health literacy were conducted among residents for both groups. During the period between the two surveys, the intervention group received targeted health interventions. Health literacy—comprising 3 dimensions: basic health knowledge and concepts, basic health skills, and healthy lifestyles—was defined as achieving ≥80% of the total score. A differences-in-differences model was adopted to analyze the impact of the intervention, and multiple linear regression was used to explore the factors influencing the intervention effect. Results The baseline survey showed that 240 out of the 896 surveyed residents (26.79%) possessed climate change health literacy. For the 3 dimensions, the number of residents and the proportions with corresponding literacy in descending order were: basic health skills (521, 58.15%), healthy lifestyles (345, 38.50%), and basic health knowledge and concepts (44, 4.91%). After the intervention, the intervention group showed a 3.19% increase in the total health literacy score, a 3.55% increase in basic health knowledge and concepts, and a 4.24% increase in basic health skills (t=2.79, 2.77, and 2.47 respectively) (P<0.05). No significant change was observed in healthy lifestyle scores (t=0.70, P>0.05). Further analysis showed that awareness of the “dual carbon goals” and occupation were significantly associated with the intervention effect on overall health literacy (P<0.05). For basic health knowledge and concepts, occupation, history of chronic diseases, and awareness of the “dual carbon goals” had statistically significant effects on the intervention outcomes (P<0.05). Regarding basic health skills, awareness of the “dual carbon goals” significantly influenced the intervention effect (P<0.001). In terms of healthy lifestyles, gender, educational level, occupation, and awareness of climate change were significantly associated with the intervention effect (P<0.05). Conclusion The climate change-related health literacy among community residents in Shenzhen is in urgent need of improvement. Health interventions can effectively enhance residents' basic health knowledge and concepts, basic health skills, and overall literacy level. In the future, it is necessary to strengthen the popularization of climate change health knowledge based on different population characteristics and further optimize intervention strategies, to comprehensively improve residents' health adaptation capacity to climate change.

OBJECTIVE To construct and evaluate nomogram prediction model for refractory chemotherapy-induced nausea and vomiting （CINV）. METHODS The data of malignant tumor patients who received chemotherapy at the Third People’s Hospital of Zhengzhou from January 2017 to December 2023 were collected. These patients were categorized into the occurrence group and the non-occurrence group according to the occurrence of refractory CINV. Multivariate Logistic regression analysis was employed to screen predictive factors for refractory CINV and constructing a nomogram prediction model. Model performance was assessed via receiver operating characteristic curve analysis. Model calibration was evaluated using Bootstrap resampling. Decision curve analysis （DCA） was used to determine the clinical net benefit of three strategies under different risk thresholds. Clinical impact curves were utilized to assess the clinical value of the model at different risk thresholds. Shapley additive explanations （SHAP） analysis was performed to evaluate individual factor contributions to the predictive model. RESULTS A total of 388 patients were included， with 219 experiencing refractory CINV. Multivariate Logistic regression identified 11 predictive factors for refractory CINV， including gastrointestinal disease history， anticipated nausea and vomiting， chemotherapy-induced emetic risk classification， and electrolyte levels， etc. The model’s area under the curve was 0.80 [95% confidence interval （0.76， 0.84）]， with a mean error of 0.036. DCA demonstrated the prediction model had higher clinical net benefit when the risk threshold was between 0.05 and 0.85. SHAP analysis revealed the top three predictive factors as gastrointestinal disease history （0.924）， chemotherapy- induced emetic risk classification （0.866）， and electrolyte levels （0.581）. CONCLUSIONS Eleven factors， including gastrointestinal disease history， anticipated nausea and vomiting， chemotherapy-induced emetic risk classification， and electrolyte levels， are identified as predictors of refractory CINV. The model based on these factors has good predictive ability， which can be used to predict the risk of refractory CINV.

Objective To explore the diagnostic value of 68Ga-PSMA-11 PET/CT combined with abnormal prothrombin(PIVKA-Ⅱ)in the diagnosis of different tumors.Methods A total of 200 patients with suspected cancer who underwent examinations in the Affiliated Hospital of Southwest Medical University from September 2021 to December 2023 were retrospectively selected,including 51 suspected liver cancer,49 suspected pancreatic cancer,52 suspected rectal cancer and 48 suspected prostate cancer.All patients underwent both serum PIVKA-Ⅱ testing and 68Ga-PSMA-11 PET/CT imaging.Receiver operating characteristic(ROC)curve analysis was used to assess the diagnostic performance of 68Ga-PSMA-11 PET/CT and serum PIVKA-Ⅱ for liver cancer,pancreatic cancer,rectal cancer and prostate cancer.Results No significant differences were found in general data of 4 suspected tumor groups(P>0.05)except for age.Serum PIVKA-Ⅱ levels were significantly higher in patients with suspected liver cancer and rectal cancer compared with those with suspected pancreatic cancer and prostate cancer(P<0.05).No significant difference was observed in the serum PIVKA-Ⅱ levels between suspected pancreatic cancer group and suspected prostate cancer group(P>0.05).The positive rates of 68Ga-PSMA-11 PET/CT and serum PIVKA-Ⅱ for diagnosing liver,pancreatic,rectal,and prostate cancers were significantly lower than those of pathological examination(49.0%vs.47.1%vs.92.2%,57.1%vs.55.1%vs.87.8%,48.1%vs.44.2%vs.92.3%,64.6%vs.62.5%vs.89.6%,respectively,P<0.05).ROC curve analysis showed that serum PIVKA-Ⅱ had a sensitivity of 79.06%,specificity of 72.02%,area under ROC curve(AUC)of 0.822,and Youden index of 0.512.For 68Ga-PSMA-11 PET/CT,the sensitivity was 79.11%,specificity 72.07%,AUC 0.829,and Youden index 0.510.The combined use of 68Ga-PSMA-11 PET/CT and serum PIVKA-Ⅱ achieved higher diagnostic accuracy,with a sensitivity of 93.28%,specificity of 81.15%,AUC of 0.924 and Youden index of 0.744,all surpassing the single index.Conclusion Both 68Ga-PSMA-11 PET/CT and serum PIVKA-Ⅱ are effective diagnostic tools for liver,pancreatic,rectal,and prostate cancers,with the combined approach yielding superior diagnostic performance.

Medical ultrasound technology is widely used for diagnosis and therapy in clinical practice.Ultrasound probes,which are directly contact with patients,pose a potential risk of pathogen transmission.This expert consen-sus was developed by a multidisciplinary team based on international guidelines,standards in China,and the results of a national survey,aiming to reduce the risk of healthcare-associated infection through standardizing reprocessing of medical ultrasound probes,and formulating consensus recommendations with the Delphi method.The consensus clarifies the reprocessing principles for three types of ultrasound probes of different infection risks:external-use ul-trasound probes,interventional percutaneous ultrasound probes,and internal-use ultrasound probes,puts forward systematic suggestions on the reprocessing standards and disinfection levels of ultrasound probe isolation covers and coupling agents,the reprocessing procedures and methods of ultrasound probes,as well as architectural layout and management of reprocessing,so as to provide a scientific prevention and control framework for ensuring ultrasound diagnosis and therapy safety.

Objective To explore the value of ultrasound intelligent diagnostic system combined with mammography for differentiating benign and malignant non-mass breast lesions(NMBL).Methods Totally 107 patients with NMBL were retrospectively enrolled,including 64 cases of malignant(malignant group)and 43 cases of benign lesions(benign group).Clinical,routine ultrasound,ultrasound intelligent diagnostic system(artificial intelligence[AI]system)and mammography data were compared between groups.Logistic regression analysis was performed,receiver operating characteristic(ROC)curves were drawn,the areas under the curves(AUC)were calculated,and the efficacy of AI system combined with mammography for differentiating benign and malignant NMBL was analyzed.Results Significant differences of the maximum diameter of lesion,ratio of axillary lymph node enlargement and suspected malignant calcification on mammography,as well as of AI system malignancy risk and AI system breast imaging reporting and data system(BI-RADS)classification were found between groups(all P＜0.05).AI system binary classification was obtained based on AI system malignancy risk.The AUC of suspected malignant calcification on mammography,AI system BI-RADS classification and AI system binary classification for differential diagnosis of benign and malignant NMBL was 0.840,0.810 and 0.817,respectively,while of suspected malignant calcification on mammography combined with AI system BI-RADS classification or AI system binary classification were both 0.856,higher than that of AI system BI-RADS classification/AI system binary classification alone(both P＜0.05)but not significantly different with that of suspected malignant calcification on mammography alone(both P＞0.05).Logistic regression analysis of age,the maximum diameter of lesion,axillary lymph node enlargement and suspected malignant calcification on mammography combined with AI system malignancy risk(model 1),AI system BI-RADS classification(model 2)or AI system binary classification(model 3)showed that suspected malignant calcification on mammography,AI system malignancy risk,AI system BI-RADS classification and AI system binary classification were all independent risk factors of malignant NMBL(all P＜0.05),and AUC of model 1,2 and 3 for differentiating benign and malignant NMBL was 0.966,0.964 and 0.957,respectively.Conclusion Ultrasound intelligent diagnostic system combined with mammography was helpful for differentiating benign and malignant NMBL.Combining with clinical indicators might improve diagnostic efficacy.

Objective:To investigate the impact of the interval between neoadjuvant immunotherapy combined with chemotherapy(nICT) and surgery on pathological outcomes and prognosis in patients.Methods:This is a retrospective cohort study. A total of 115 patients with locally advanced esophageal squamous cell carcinoma who underwent nICT followed by sequential surgery at Department of Thoracic Surgery, Peking University People′s Hospital or Department of Thoracic Surgery, the First Affiliated Hospital of Zhengzhou University from January 2020 to April 2024 were included. Among them, 99 were male and 16 were female, with an age of ( M(IQR)) 65 (11) years (range:45 to 81 years). All patients received 2 to 6 cycles of paclitaxel plus platinum-based doublet chemotherapy combined with PD-1 immune checkpoint inhibitors. The resectability of tumors was assessed based on CT scans of the chest and abdomen, and surgical approaches included Sweet surgery, Mckeown surgery, and Ivor-Lewis surgery. Patients were divided into a short-interval group (4 to <6 weeks) and a long-interval group (6 to 12 weeks) based on the interval between neoadjuvant immunochemotherapy and surgery. General patient data, surgical details, pathological response, and prognosis were collected and analyzed. Data comparisons were performed using independent sample t-test, Mann-Whitney U test, χ 2 test, or Fisher′s exact test. Multivariate logistic regression analysis was used to identify independent factors influencing pathological complete response (pCR). Survival analysis was conducted using the Kaplan-Meier method and Log-rank test. Results:There were no significant differences in baseline characteristics, neoadjuvant treatment details, surgical outcomes, or postoperative complications between the long-interval group and the short-interval group (all P>0.05). Multivariate Logistic regression analysis revealed that, among clinical factors, interval between neoadjuvant immunochemotherapy and surgery was significantly associated with pCR (long-interval group vs. short-interval group: OR=4.14, 95% CI:1.63 to 10.50, P=0.003). The pCR rate was higher in the long-interval group (43.6% vs. 17.1%, χ2=6.48, P=0.011). Survival analysis showed no significant differences in overall survival ( P=0.094) or disease-free survival ( P=0.840) between the two groups. Conclusion:Appropriately extending the surgical interval after neoadjuvant immunochemotherapy maybe lead to a higher pCR rate, without increasing surgical difficulty or damaging prognosis.

Objective To investigate the intervention effect of Xiao'er Zhixiao Pingchuan Granules(XEZXPCG)on ovalbumin(OVA)-induced airway remodeling in asthmatic mice and its potential mechanism by regulating macrophage migration inhibitory factor(MIF)and inhibiting the phosphoinositide 3-kinase(PI3K)/protein kinase B(Akt)signaling pathway.Methods A total of 96 SPF-grade male BALB/c mice were randomly divided into blank,model,XEZXPCG low/medium/high-dose groups(2.05,4.10,and 8.20 g/kg),adeno-associated virus(AAV)NC shRNA,AAV MIF shRNA(MIF gene silencing),and LY294002(PI3K/Akt inhibitor,1 mg/kg)groups(12 mice in each group).Asthma models were established through OVA sensitization and challenge.Airway resistance and the proportions of inflammatory cells(eosinophils and macrophages)in bronchoalveolar lavage fluid(BALF)were detected.Serum inflammatory factor(OVA-IgE,interleukin[IL]-1β,IL-6,tumor necrosis factor-alpha,and interferon-gamma)levels and BALF were quantified.Hematoxylin and eosin,Masson,and periodic acid-Schiff staining were used to evaluate airway wall thickness(Wat/Phm),smooth muscle area(Wam/Phm),collagen deposition,and goblet cell metaplasia.Western blotting,immunofluorescence,and real-time fluorescence-qPCR were used to detect MIF protein and mRNA expressions,as well as activation markers of the PI3K/Akt pathway and cell cycle-related proteins(including cyclin-dependant kinase 6[CDK6],Cyclin D1,Cyclin D3,and p21),in lung tissues.Results Compared to the model group,a XEZXPCG medium or high-dose significantly reduced airway resistance(P<0.05),improved the imbalance of eosinophil and macrophage proportions in BALF,and decreased inflammatory factor levels in serum and BALF(P<0.05).XEZXPCG medium or high-dose alleviated airway epithelial damage,goblet cell hyperplasia,and collagen fiber deposition,and reduced the Wat/Phm and Wam/Phm(P<0.05),with effects comparable to those of the AAV MIF shRNA and LY294002 groups.XEZXPCG medium and high-inhibited MIF protein/mRNA expression(P<0.05),downregulated Akt phosphorylation(P<0.05),upregulated p21 protein expression,and downregulated Cyclin D1,Cyclin D3,and CDK6 expressions(P<0.05).Conclusion XEZXPCG alleviates airway inflammation and improves airway remodeling in OVA-induced asthmatic mice by inhibiting MIF expression,downregulating the PI3K/Akt signaling pathway,and regulating cell cycle progression.XEZXPCG enhances airway remodeling through MIF-mediated PI3K/Akt pathway regulation.

Objective To compare the effectiveness of cobalt chloride test papers and borescope in evaluating the drying of endoscopes,providing a reference for clinical selection of appropriate assessment tools.Methods 10 gastroscopes and 10 colonoscopes procedures were selected from November 2023 to March 2024 for circulation experiments.After endoscope reprocessing,they were randomly divided into five groups with different drying times(30 s,3 min,6 min,9 min,and 12 min)with 200 samples.Cobalt chloride test paper and borescope were used to evaluate the drying effectiveness.Results The qualified rate of gastrointestinal endoscope by borescope was significantly higher than that by cobalt chloride test paper,but cobalt chloride test paper was obviously better than that by borescope in convenience and cost-effectiveness.The borescope had the function of visualization,and the quantitative positioning observation of residual droplets showed that there were a large number of droplets left after gastrointestinal endoscope drying for 30 s,and the number of droplets was obviously reduced after drying for 3 min.Among them,the gastroscope was mainly light(1～5 drops/strip)and none(0 drops/strip),and the colonoscope was mainly moderate(6～10 drops/strip)and light droplets.Compared with different drying times,there was a significant statistical difference in the number of residual droplets in the endoscope(P<0.01),and the localized droplets mainly remained in the distal bending part and the proximal bifurcation part of the lumen.Conclusion Both cobalt chloride test papers and borescope are important methods for assessing endoscope drying efficacy,each with its own advantages and limitations.Clinicians can use both methods in combination to comprehensively evaluate the overall dryness of endoscopes,thereby ensuring the safety and effectiveness of the endoscope reprocessing process.

Objective:To investigate how age and nail-tract volumetric bone mineral density (vBMD) are associated with postoperative mechanical performance of proximal femoral nail anti-rotation (PFNA-Ⅱ) fixation for geriatric intertrochanteric fractures using a finite-element analysis.Methods:Fifteen elderly patients with intertrochanteric fracture of the femur were selected for this study. They were 11 females and 4 males and divided into 5 groups based on their ages ( n=3): 55-year-old, 65-year-old, 75-year-old, 85-year-old, and 95-year-old groups. After three-dimensional models of the proximal femur were constructed using the preoperative CT data of their healthy contralateral hip, 31-A1.2 fractures of the AO/OTA type were created and PFNA-Ⅱ fixations simulated. Two loading schemes were created: graded quasi-static axial loads (700 N, 1,400 N, 2,100 N, and 2,800 N) were applied to compute equivalent plastic strain volumes in the femoral head region; displacement-controlled loading was applied to failure to derive load-displacement curves for stiffness and the maximum failure load. Nail-tract vBMD and regional hip vBMDs were measured by quantitative CT. Pearson correlation analysis was conducted to investigate the associations of age and nail-tract vBMD with the aforementioned mechanical indicators. Results:Under the same load, compared with the 55-year-old, 65-year-old, and 75-year-old groups, the plastic strain unit volumes of the fracture models in the 85-year-old and 95-year-old groups increased significantly. Under a load of 700 N, no plastic strain was observed in the fracture models in the 55-year-old, 65-year-old, and 75-year-old groups, while an average plastic strain of approximately 50 mm 3 was observed in the fracture models in the 85-year-old group. Under a load of 2,800 N, the high strain areas in the fracture models in the 85-year-old and 95-year-old groups were mainly concentrated at the tip of the head nail and the junction between the head nail and the main nail. Load-displacement curves showed a marked reduction in the failure load in patients aged ≥85 years. Under loads of 1,400 N, 2,100 N, and 2,800 N, there was a strong association between the nail-tract vBMD and the volume of the plastic strain unit ( r=-0.82, -0.88, -0.89, respectively), which was stronger than those for total-hip vBMD. Conclusions:Finite-element analysis indicates that age and nail-tract vBMD are closely related to local plastic strain and overall stiffness of the proximal femur after PFNA-Ⅱ fixation for the geriatric intertrochanteric fractures. Patients aged ≥85 years old are more prone to plastic yielding, which compromises fixation stability.