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.

Curzerene, a sesquiterpene compound isolated from Curcuma Radix, exhibits various therapeutic effects, such as anti-tumor and anti-hyperlipidemic properties. However, its neuroprotective effects have not yet been reported. This study focused on exploring the neuroprotective effect of curzerene and elucidating its potential mechanism by combining molecular biotechnology with multi-omics approaches. Curzerene was orally administered to LPS-induced depressive-like behaviors and cognitive impairment in mice for 14 days, and the related biochemical parameters were evaluated. The possible mechanisms were elucidated using qRT-PCR, Western Blot, immunofluorescence, untargeted metabolomics, GC-MS and 16S rDNA comprehensively. Curzerene ameliorated depression symptoms and cognitive impairment by increasing the preference for sucrose in SPT and the central area and total distance traveled in OFT, reducing the immobility time in TST and FST, as well as rising the spontaneous alternation ratio in Y maze. Multiple molecular biology techniques analyses indicated the ameliorative effect of curzerene via HMGB1/RAGE/ TLR4 pathway. Moreover, curzerene primarily regulates purine metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, pyrimidine metabolism, etc. Furthermore, intervention increased the relative abundance of Parabacteroides, Clostridia_UCG-014_unclassified, and Rhodospirillales_unclassified, and enhanced the production of SCFAs. This work demonstrated that curzerene effectively protects against LPS-induced neurological damage, potentially by inhibiting the HMGB1/ RAGE/TLR4 pathway through the restoration of gut microbiota homeostasis, modulation of metabolites, and enhancement of SCFAs. In conclusion, this study offers new perspectives on the therapeutic possibilities of curzerene in mitigating depressive-like behaviors and cognitive impairment.

Amyotrophic lateral sclerosis (ALS) is a chronic, progressive degenerative disease affecting both upper and lower motor neurons, primarily characterized by skeletal muscle weakness and atrophy. Notably, the same muscle group may exhibit asynchronous involvement. This study aims to investigate the involvement patterns of the orbicularis oculi (OOc) and orbicularis oris (OOr) in ALS patients, compare the findings with healthy controls (HCs) and myasthenia gravis (MG) patients, and explore the characteristics and clinical significance of facial muscle involvement in ALS.

ObjectiveTo evaluate the effects of phases on the pharmacokinetic behavior of seven components from Banxia Xiexintang（BXT） in normal rats by investigating and comparing their pharmacokinetic profiles in different phase samples. MethodsThe phase separation of BXT was carried out by centrifugation-dialysis method， and three phase samples were obtained， including the precipitated phase（PP）， colloidal phase（CP） and true solution phase（TP）. A total of 24 male SD rats were randomly divided into BXT， PP， CP and TP groups（n=6）. The BXT group was gavaged at a dose of 24.1 g·kg^-1（calculated by the dosage of raw materials）. After proper treatments， PP， CP and TP groups were administrated at the same dose as that of BXT group， respectively. Blood was collected from each group at set time points after gavage of BXT and the phase samples. The contents of 7 components（baicalin， wogonoside， wogonin， berberine， palmatine， ammonium glycyrrhizinate and isoliquiritin） in rat plasma were determined by ultra-high performance liquid chromatography-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS）， and the pharmacokinetic parameters of each component were analyzed by DAS 2.0. ResultsThe peak concentration of baicalin was the highest among the blood-entered components in each group， followed by wogonoside. The results of the concentration-time curves and pharmacokinetic parameters of the 7 components showed that the area under the concentration-time curve（AUC） of isoliquiritin in the BXT group was the highest， followed by that in the CP group. AUC values of baicalin， wogonoside， wogonin and ammonium glycyrrhizinate in the BXT group were similar to those of the CP group， and AUC of palmatine in the BXT group was similar to that of the PP group. The elimination half-life（t_1/2） values of baicalin and wogonoside in the BXT group was the longest， the t_1/2 values of ammonium glycyrrhizinate and berberine were similar to those of the CP group， and the t_1/2 of palmatine was similar to that of the PP group. The t_1/2 of wogonin was the longest in the PP group， and the t_1/2 of isoliquiritin was the longest in the TP group was the longest， which was similar to that in the PP group. Except for isoliquiritin， the other 6 components showed double peaks in the concentration-time curve of the PP group， indicating that the above components might be reabsorbed through the enterohepatic circulation in vivo， which resulted in the maintenance of high plasma concentrations for a long time， and consequently exhibited sustained-release properties. ConclusionThe pharmacokinetic characteristics of the components in different phases were different， and the CP phase may be the effective phase from the perspective of the pharmacological action of BXT. Compared with the BXT group， the in vivo action times of some components in the CP and PP groups were prolonged. The study explores the phase differences of traditional Chinese medicine（TCM） compound decoction in the aspect of pharmacokinetics， and verifies that the phase states from TCM compound decoction will affect the pharmacokinetic behaviors of the active components， which may consequently lead to the difference in in vivo effects.

OBJECTIVE To investigate the effectiveness of resident clinical pharmacist-led medication therapy management （MTM） model in geriatric cardiology departments， and provide reference for optimizing resident pharmaceutical services. METHODS A retrospective cohort study was conducted， incorporating data from inpatients admitted to the Department of Cardiovascular Medicine in the Geriatric Medical Center of our hospital during March to August 2023 （conventional group， n＝ 903） and the same period in 2024 （MTM group， n＝963）. The conventional group received only standard pharmaceutical services （including prospective prescription review and retrospective order evaluation）， while the MTM group received additional resident clinical pharmacist-led interventions-such as medication reconciliation， personalized therapeutic drug monitoring （TDM）， standardized intravenous infusion management， and a four-stage closed-loop monitoring process-based on conventional care. The effectiveness of the MTM model was evaluated by comparing the primary outcome measures （e.g.， intravenous infusion rate， TDM target attainment rate） and secondary outcome measures [e.g.， incidence of drug-drug interactions （DDIs）， incidence of grade 3 or higher acute kidney injury， average length of hospital stay， cholesterol， and medication cost per capita] between the two groups. RESULTS Compared with the conventional group， in terms of primary outcome indexes： both the overall intravenous infusion rate and the use rate of acid-suppressive injection were significantly lowered in the MTM group （P＜0.05）； serum concentration target attainment rates for digoxin and vancomycin were increased significantly （P＜0.05）. For secondary outcome indexes， the MTM group exhibited significant decreases in the work incidence of grade 3 or higher acute kidney injury， the incidence of DDIs， the rate of patients leaving the hospital against medical advice， alanine amino-transferase， aspartate transferase and the per capita total medication cost （P＜0.05）. Additionally， there was a notable increase in the creatinine， estimated glomerular filtration rate and a significant shortening of the per capita length of hospital stay （P＜0.05）. CONCLUSIONS The resident clinical pharmacist-led MTM model can significantly optimize medication therapy processes， enhance medication safety and cost-effectiveness， thus playing a positive role in promoting rational drug use and improving patient outcomes.

OBJECTIVE To construct ensemble learning models for predicting high-use days of budesonide based on meteorological factors， thereby providing reference for hospital pharmacy management. METHODS Meteorological data for 2024 and outpatient budesonide usage data from the jurisdiction of Sanming Hospital of Integrated Traditional Chinese and Western Medicine were collected. High-use days were defined as the 75th percentile of outpatient budesonide usage， and a corresponding dataset was established. The prediction task was formulated as a classification problem， and three ensemble learning models were developed： Random Forest， Extreme Gradient Boosting （XGBoost）， and Histogram-based Gradient Boosting Classifier. Model performance was evaluated using accuracy， precision， recall， F1-score， and log-loss. Model interpretability was analyzed using Shapley Additive Explanations （SHAP）. RESULTS The Histogram-based Gradient Boosting Classifier achieved the best performance （accuracy＝0.75， F1-score＝0.48）， followed by XGBoost （accuracy＝0.74， F1-score＝0.43） and Random Forest （accuracy＝0.72， F1-score＝0.22）. SHAP results suggested that the prediction results of the last two models have the highest correction. CONCLUSIONS Ensemble learning models can effectively predict high-use days of budesonide， with the Histogram- based Gradient Boosting Classifier demonstrating the best predictive performance. Low temperature， high humidity， and low atmospheric pressure show significant positive impacts on the prediction of daily budesonide usage.

Objective To assess the health risks of gaseous pollutants in the indoor air of hair and beauty salons in Jinan, and to provide technical support for strengthening the hygiene management of hair and beauty salons in Jinan and promoting the improvement of conditions. Methods Every year, indoor air samples were collected from 10-16 selected hair salons and beauty salons in Jinan, and relevant information on practitioners was also collected. According to the ^“Technical Guidelines for Environmental Health Risk Assessment of Chemicals^”, an assessment was conducted on the carcinogenic and non-carcinogenic risks of inhalation pathways of gaseous pollutants in the indoor air of hair salons and beauty salons. Results Benzene, toluene, xylene, formaldehyde, and ammonia were detected in the indoor air of hair salons and beauty salons. Formaldehyde, benzene, and ammonia all exceeded the standard in hair salons and beauty salons. The median risk values of formaldehyde and benzene for carcinogenesis in hair salons and beauty salons were both greater than 10^-6, with maximum values higher than 10^-4. The median chronic non-carcinogenic risk value of formaldehyde in the indoor air of hair salons and beauty salons was greater than 1. The median chronic non-carcinogenic risk values for benzene and ammonia were both less than 1, but the maximum risk value was greater than 1. Conclusion Benzene and formaldehyde in the indoor air of hair salons and beauty salons in Jinan City have carcinogenic and non-carcinogenic risks, while ammonia has non-carcinogenic risks, which should be paid attention to.

Bacterial reinfection in the lungs of patients with influenza virus(IV)is a key factor leading to serious illness and death.The adverse consequences caused by co-infection with IV and Streptococcus pneumoniae(SPN)impose a serious burden on patients.However,the specific pathogenesis is complex,how to make better use of the mouse animal model of IV/SPN co-infection for subsequent basic research is of great significance.This article reviews the selection of animals,the selection of pathogen types,the selection of different modeling times,the identification of the co-infection model,and its applications in the IV/SPN co-infection model,so as to provide a reference for the selection of animal models of IV/SPN co-infection in the future.

Objective Based on the theory of"stomach disharmony leads to restlessness",the causal relationship between gastroesophageal reflux disease and insomnia was discussed by Mendel randomization method with two samples.Methods The data were collected from genome-wide association studies,the exposure factor was gastroesophageal reflux disease,and the outcome variable was insomnia.Mendel randomization analysis is realized by inverse variance weighted method,MR-Egger method,simple model method,weighted model method and weighted median method.Sensitivity analysis includes pleiotropic test,heterogeneity test and one-by-one elimination test,and is calculated by MR-Egger method,Cochran Q test and one-out-of-one method in turn.Results A total of 75 single nucleotide polymorphisms(SNPs)were screened.The inverse variance weighted method showed that gastroesophageal reflux disease increased the risk of insomnia(OR=1.255,95%CI:1.071-1.470,P<0.05).The weighted median method also confirmed that there was a positive causal relationship between gastroesophageal reflux disease and insomnia(OR=1.403,95%CI:1.117-1.762,P<0.05).Multiple sensitivity analysis indicated that there was no pleiotropy and heterogeneity in the results of Mendelian randomized analysis,which verified the stability of the research results.Conclusion There is a positive causal relationship between gastroesophageal reflux disease and insomnia,which enriches the theoretical connotation of"stomach disharmony leads to restlessness"from the genetic point of view and lays a foundation for further study.

Increasing evidence shows that the early lesions of Parkinson's disease (PD) originate from gut, and correction of microbiota dysbiosis is a promising therapy for PD. FLZ is a neuroprotective agent on PD, which has been validated capable of alleviating microbiota dysbiosis in PD mice. However, the detailed mechanisms still need elucidated. Through metabolomics and 16S rRNA analysis, we identified glycoursodeoxycholic acid (GUDCA) was the most affected differential microbial metabolite by FLZ treatment, which was specially and negatively regulated by Clostridium innocuum, a differential microbiota with the strongest correlation to GUDCA production, through inhibiting bile salt hydrolase (BSH) enzyme. The protection of GUDCA on colon and brain were also clarified in PD models, showing that it could activate Nrf2 pathway, further validating that FLZ protected dopaminergic neurons through promoting GUDCA production. Our study uncovered that FLZ improved PD through microbiota-gut-brain axis, and also gave insights into modulation of microbial metabolites may serve as an important strategy for treating PD.