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.

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.

OBJECTIVE To improve the research capacity and research enthusiasm of dispensing pharmacists in pharmacy intravenous admixture services （PIVAS）， facilitate their career development， and further promote the sustainable development of hospital pharmacy disciplines. METHODS A full-chain pharmacy practice research path covering topic orientation， topic evaluation， and implementation was explored and constructed for PIVAS. Multiple approaches including framework condensation for topic selection， department empowerment and improved incentive mechanisms were adopted to systematically boost the research competence and enthusiasm of PIVAS dispensing pharmacists. Four dimensions of indicators， including PIVAS research output， operational level， career development of staff and external influence， were compared between the pre-implementation period （2020- 2022） and post-implementation period （2023-2025） to evaluate the implementation effect of the path. RESULTS After the application of the PIVAS pharmacy practice research path， the number of published papers and comprehensive quality score of papers increased by 150.00% and 161.90% respectively compared with those before implementation. The number of approved research projects and comprehensive quality score of projects rose by 166.67% and 225.00%， and the number of authorized patents increased by 100.00%. The monthly number of external errors decreased from （0.42±0.18） pieces/month pre-implementation to （0.28±0.23） pieces/month post-implementation （P＞0.05）. Dispensing efficiency was elevated from （121.83±2.48） bags/（hour· person） to （139.00±3.46） bags/（hour·person） （P＜0.05）. The research participation rate of PIVAS dispensing pharmacists grew from 15.00% to 50.00%， and the overall satisfaction rate of staff increased from 55.00% to 85.00% （P＜0.05）. Within the 3 years after path implementation， our hospital PIVAS received a total of 22 trainees from external medical institutions， and the number of external institutional visits increased by 374.07% versus the pre-implementation stage. CONCLUSIONS The constructed pharmacy practice research path for PIVAS can significantly improve PIVAS research output， operational efficiency and external influence， and effectively promote the career growth of dispensing pharmacists working in PIVAS.

Primary hyperparathyroidism(PHPT) is a relatively common endocrine disorder in clinical practice. While the diagnosis and characterization of this condition are straightforward, cases with negative 99Tc m-methoxyisobutylisonitrile( 99Tc m-MIBI) imaging often complicates lesion localization, posing a clinical challenge in determining whether surgical intervention is warranted. This paper presents two cases of PHPT with negative 99Tc m-MIBI imaging, both diagnosed with papillary thyroid carcinoma(PTC). Following bilateral neck exploration, the surgeons successfully localized and excised the hyperparathyroid lesions and provided appropriate treatment for PTC. Postoperative follow-up indicated favorable recovery in both patients. This article aims to dive deeply into the necessity of surgical intervention and enhance clinical management of these cases.

Non-human primate animal models are core tools for the study of highly pathogenic microorganisms and are irreplaceable in the fields of pathology and drug discovery.However,anatomical sampling of non-human primate infection models in high-level biosafety laboratories carries potential risk and related risk assessment and control measures require clarification.Based on biosafety regulations and practical experience,we systematically discuss the risk control strategies of anatomical operations with respect to personal protection,instrument selection,anatomical specifications,documentation,and personnel training.Our review will help to improve the management of high-level biosafety laboratories,reduce the risk of pathogen escape and human infection,and provide support for the safe research of highly pathogenic microorganisms.

OBJECTIVE To observe the effects of measures dominated by intensifying link quality on prevention and control of carbapenem-resistant Klebsiella pneumoniae(CRKP)among general ICU patients.METHODS The conventional intervention measures were taken from Jan.2016 to Oct.2020,which was assigned as the pre-inter-vention period;the intervention measures dominated by enhancement of link quality were taken for the general ICU patients(the study group)from Nov.2020 to Oct.2021,which was set as the intervention period,the inter-vention measures were taken for the neurosurgery ICU patients and the surgery ICU patients(the control group).A two-group interrupted time series of a quasi-experimental study was analyzed,and whether or not the intervention measures could reduce the incidence of CRKP hospital-associated infection among the general ICU patients was evaluated.RESULTS A total of 23 713 case-times of patients from three ICU wards were enrolled in the study.The incidence of CRKP hospital-associated infection among the general ICU patients was 4.49 cases per thousand patient-days during intervention period,3.71 cases per thousand patient-days during pre-intervention pe-riod,and there was no significant difference(u=-1.412,P=0.079);it was lower than 7.06 cases per thousand patient-days during nearly one year before the intervention period(from Nov.2019 to Oct.2020),and there was significant difference(u=3.128,P=0.002).The result of analysis of the interrupted time series showed that there was significant difference in the slope change between the study group and the control group after the inter-vention(P=0.035),indicating that the intervention measures could reduce the incidence of CRKP hospital-associ-ated infection in the study group,and there was significant difference in the changing trend between the study group and the control group.CONCLUSIONS The prevention and control measures for CRKP dominated by the link quality management can effectively reduce the incidence of CRKP hospital-associated infection among the gen-eral ICU patients.The prevention and control strategies may provide reference for prevention and control of CRKP in ICUs of other medical institutions.

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.

Objective:To construct and verify a risk prediction model for pulmonary infection in patients with aneurysmal subarachnoid hemorrhage (aSAH) after craniotomy and clipping, providing theoretical basis and practical guidance for improving the quality of postoperative care.Methods:Using the convenience sampling method, a retrospective selection was made of 397 patients with aSAH after craniotomy and clipping who were hospitalized in the Department of Neurosurgery of Shanxi Bethune Hospital (Shanxi Academy of Medical Sciences) from January 2019 to December 2023 as the modeling group. They were randomly divided into the training set and the test set at a ratio of 7:3, with 278 cases in the training set and 119 cases in the test set. Patients were divided into the infection group and the non-infection group based on whether they developed pulmonary infection. Univariate analysis was used to model the risk factors of pulmonary infection after aSAH craniotomy and clamping in the group, and Lasso regression was used to construct a predictive model. A total of 119 patients with aSAH admitted to the neurosurgery department of the same hospital from January to April 2024 were selected for the external validation of the model. The predictive effect of the model was evaluated through the receiver operating characteristic (ROC) curve.Results:In the modeling group, there were 216 male patients and 181 female patients. The incidence of pulmonary infection was 38.54% (153/397). Finally, five influencing factors, namely stroke, Hunt-Hess classification, mechanical ventilation, indwelling nasogastric tube and the timing of initiating enteral nutrition, were included to construct a predictive model. The areas under the ROC curves of the nomogram prediction models of this model in the training set, test set, and external validation group were 0.859(95% CI 0.791-0.928), 0.843(95% CI 0.796-0.890), and 0.800(95% CI 0.711-0.889), respectively. The calibration curve shows that the model's prediction fits well with the actual situation and has a high degree of calibration. Decision curve analysis indicates that this model has high clinical application value under different risk thresholds. Conclusions:The risk prediction model for pulmonary infection in patients after craniotomy and clipping with aSAH has good discrimination and calibration, which can provide reference for medical staff to identify high-risk patients at an early stage and take preventive intervention measures.