Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

Perimenopause raises the risk and incidence of depression, whereas the underlying molecular mechanism remains unclear. Disturbed glucose regulation has been widely documented in depressive disorders, which renders the brain susceptible to various stresses such as estrogen depletion. However, whether and how glucose dysfunction regulates depression-like behaviors and neuronal damage in perimenopausal transition remains unexplored. Here, a prominent depressive phenotype was found in perimenopausal mice induced by the ovarian toxin 4-vinylcyclohexene diepoxide (VCD). The VCD depression susceptible group (VCD^SS) and the VCD depression resilient group (VCD^RES) were determined using a ROC-based behavioral screening approach. We found that the hippocampus, a crucial region linked to depression, had hyperglycemia and mitochondrial abnormalities. Interestingly, oral administration of the SGLT2 inhibitor empagliflozin (EMPA) and intrahippocampal glucose infusion suggest a close relationship between hyperglycemia in the hippocampus and the susceptibility to depression. We verified that cytochrome c oxidase 7c (COX7C) downregulation is a potential cause of the high glucose-induced neuronal injury using proteomic screening and biochemical validations. High glucose causes COX7C to be ubiquitinated in a S-phase kinase associated protein 1 (SKP1)-dependent manner. According to these results, SKP1/COX7C represents a unique therapeutic target and a novel molecular route for treating perimenopausal depression.

OBJECTIVE To summarize the process of investigation,disposal and prevention of a cluster incident of post-operative incision infection following microtia plastic surgery in the otorhinolaryngology department of a terti-ary care hospital,in order to provide a basis for hospital-aquired infection prevention and control.METHODS An epidemiological survey was conducted on seven patients who underwent otorhinolaryngoplasty for microtia in the ENT department of a tertiary care hospital from 27 Jul.to 7 Sep.2023,and interventions were implemented.RESULTS The incidence rate of infection was 71.43％among post-otorhinolaryngoplasty patients.In 5 patients,area for electrocoagulation of haemostatic increased by approximately 50％compared to the previous period,and drainage tubes were left in the surgical area for 11 to 13 days.Patients changed dressings in a shared dressing room.Pseudomonas aeruginosa was detected in three of the infected patients,and their antibiotic sensitivity pat-terns were similar to that of a lower respiratory tract infection patient(case 0)in the same department.CONCLUSION Inadequate aseptic practice by medical staff,longer retention of drainage tubes,incomplete disin-fection of the environment of the dressing room,and changes in surgical procedures may be the primary factors contributing to the occurrence of this cluster of infections.

Classical Philadelphia chromosome-negative myeloproliferative neoplasms (MPN) comprise a group of clonal disorders originating from hematopoietic stem cells, commonly characterized by thrombotic events, extramedullary hematopoiesis, and a propensity for malignant progression to myelofibrosis or acute leukemia. With the inclusion in the core diagnostic criteria, molecular biomarkers has exhibited applicational valus in multiple levels in the aspects of personalized therapy to subtype MPN, interpret phenotypic heterogeneity, and predict clinical outcomes. Molecular biomarkers are currently being applied in disease diagnosis, progression prediction, therapeutic strategy refinement, precision monitoring, familial MPN screening, and the development of emerging detection technologies, advancing the shift from fundamental MPN research to individualized clinical management.

Objective·To develop a multi-algorithm collaborative computational biology strategy for constructing a predictive model of the peripheral morphine tolerance network and for screening high-confidence candidate targets.Methods·A murine model of morphine tolerance was established across multiple treatment time points.Bulk RNA sequencing was performed on harvested dorsal root ganglion(DRG)tissues.Using the expression matrix as a basis,a weighted gene co-expression network was constructed to identify co-expressed gene modules.Candidate genes were subsequently screened through the integration of differentially expressed genes(DEGs)with key weighted gene co-expression network modules.These candidates underwent functional annotation via Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses.A protein-protein interaction(PPI)network was established,and hub genes were systematically identified using the cytoHubba algorithm.Three distinct machine learning approaches,least absolute shrinkage and selection operator(LASSO)regression,support vector machine recursive feature elimination(SVM-RFE)model,and random forest(RF)model,were strategically integrated to screen characteristic signature genes.Finally,gene set enrichment analysis(GSEA)was implemented to functionally validate both the hub and signature genes.Results·Weighted gene co-expression network analysis(WGCNA)identified 8 297 key module genes,of which 177 candidate genes overlapped with DEGs.These genes were significantly enriched in biological processes including ion channel regulation and vascular smooth muscle contraction.A combination of PPI network analysis and machine learning revealed four signature genes[actin γ2,smooth muscle(Actg2),centriolar coiled-coil protein 110(Ccp110),neural cell adhesion molecule 2(Ncam2),and selenium binding protein 1(Selenbp1)]and six hub genes[actin α2,smooth muscle(Acta2),von Willebrand factor(Vwf),cellular communication network factor 2(Ccn2),integrin β4(Itgb4),integrin α11(Itga11),and TEK receptor tyrosine kinase(Tek)]closely associated with morphine tolerance.Conclusion·In this study,we successfully constructed a multi-algorithm collaborative peripheral nerve regulation network prediction model for morphine tolerance,and screened out 10 core genes with high confidence.

Objective·To develop a multi-algorithm collaborative computational biology strategy for constructing a predictive model of the peripheral morphine tolerance network and for screening high-confidence candidate targets.Methods·A murine model of morphine tolerance was established across multiple treatment time points.Bulk RNA sequencing was performed on harvested dorsal root ganglion(DRG)tissues.Using the expression matrix as a basis,a weighted gene co-expression network was constructed to identify co-expressed gene modules.Candidate genes were subsequently screened through the integration of differentially expressed genes(DEGs)with key weighted gene co-expression network modules.These candidates underwent functional annotation via Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses.A protein-protein interaction(PPI)network was established,and hub genes were systematically identified using the cytoHubba algorithm.Three distinct machine learning approaches,least absolute shrinkage and selection operator(LASSO)regression,support vector machine recursive feature elimination(SVM-RFE)model,and random forest(RF)model,were strategically integrated to screen characteristic signature genes.Finally,gene set enrichment analysis(GSEA)was implemented to functionally validate both the hub and signature genes.Results·Weighted gene co-expression network analysis(WGCNA)identified 8 297 key module genes,of which 177 candidate genes overlapped with DEGs.These genes were significantly enriched in biological processes including ion channel regulation and vascular smooth muscle contraction.A combination of PPI network analysis and machine learning revealed four signature genes[actin γ2,smooth muscle(Actg2),centriolar coiled-coil protein 110(Ccp110),neural cell adhesion molecule 2(Ncam2),and selenium binding protein 1(Selenbp1)]and six hub genes[actin α2,smooth muscle(Acta2),von Willebrand factor(Vwf),cellular communication network factor 2(Ccn2),integrin β4(Itgb4),integrin α11(Itga11),and TEK receptor tyrosine kinase(Tek)]closely associated with morphine tolerance.Conclusion·In this study,we successfully constructed a multi-algorithm collaborative peripheral nerve regulation network prediction model for morphine tolerance,and screened out 10 core genes with high confidence.

OBJECTIVE To summarize the process of investigation,disposal and prevention of a cluster incident of post-operative incision infection following microtia plastic surgery in the otorhinolaryngology department of a terti-ary care hospital,in order to provide a basis for hospital-aquired infection prevention and control.METHODS An epidemiological survey was conducted on seven patients who underwent otorhinolaryngoplasty for microtia in the ENT department of a tertiary care hospital from 27 Jul.to 7 Sep.2023,and interventions were implemented.RESULTS The incidence rate of infection was 71.43％among post-otorhinolaryngoplasty patients.In 5 patients,area for electrocoagulation of haemostatic increased by approximately 50％compared to the previous period,and drainage tubes were left in the surgical area for 11 to 13 days.Patients changed dressings in a shared dressing room.Pseudomonas aeruginosa was detected in three of the infected patients,and their antibiotic sensitivity pat-terns were similar to that of a lower respiratory tract infection patient(case 0)in the same department.CONCLUSION Inadequate aseptic practice by medical staff,longer retention of drainage tubes,incomplete disin-fection of the environment of the dressing room,and changes in surgical procedures may be the primary factors contributing to the occurrence of this cluster of infections.

Classical Philadelphia chromosome-negative myeloproliferative neoplasms (MPN) comprise a group of clonal disorders originating from hematopoietic stem cells, commonly characterized by thrombotic events, extramedullary hematopoiesis, and a propensity for malignant progression to myelofibrosis or acute leukemia. With the inclusion in the core diagnostic criteria, molecular biomarkers has exhibited applicational valus in multiple levels in the aspects of personalized therapy to subtype MPN, interpret phenotypic heterogeneity, and predict clinical outcomes. Molecular biomarkers are currently being applied in disease diagnosis, progression prediction, therapeutic strategy refinement, precision monitoring, familial MPN screening, and the development of emerging detection technologies, advancing the shift from fundamental MPN research to individualized clinical management.

OBJECTIVE: A prospective randomized controlled study was conducted to investigate the early postoperative analgesic effectiveness of using liposomal bupivacaine (LB) for local infiltration anesthesia (LIA) in unicompartmental knee arthroplasty (UKA). METHODS: Between January 2024 and July 2024, a total of 80 patients with knee osteoarthritis (KOA) who met the selection criteria were enrolled in the study. Patients were randomly assigned to either the LB group or the "cocktail" group in a 1∶1 ratio using a random number table, with 40 patients in each group. Baseline characteristics, including gender, age, body mass index, operated side, Kellgren-Lawrence grade, and preoperative American Society of Anesthesiologists (ASA) classification, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score, and knee joint range of motion, showed no significant difference between the two groups ( P>0.05). Both groups received LIA and comprehensive pain management. The surgical duration, incision length, pain-related indicators [resting and activity visual analogue scale (VAS) scores, total dosage of oral morphine, WOMAC scores], knee joint range of motion, first ambulation time after operation, length of hospital stay, and postoperative adverse events. RESULTS: There was no significant difference between the two groups in surgical duration, incision length, first ambulation time after operation, length of hospital stay, total dosage of oral morphine, and pre-discharge satisfaction with surgery and WOMAC scores ( P>0.05). At 4, 12, and 24 hours after operation, the resting and activity VAS scores in the "cocktail" group were lower than those in the LB group; at 60 and 72 hours postoperatively, the resting VAS scores in the LB group were lower than those in the "cocktail" group, with the activity VAS scores also being lower at 60 hours; all showing significant differences ( P<0.05). There was no significant difference in the above indicators between the two groups at other time points ( P>0.05). On the second postoperative day, the sleep scores of the LB group were significantly higher than those of the "cocktail" group ( P<0.05), while there was no significant difference in sleep scores on the day of surgery and the first postoperative day ( P>0.05). Additionally, the incidence of complications showed no significant difference between the two groups ( P>0.05). CONCLUSION The use of LB for LIA in UKA can provide prolonged postoperative pain relief; however, it does not demonstrate a significant advantage over the "cocktail" method in terms of short-term analgesic effects or reducing opioid consumption and early functional recovery after UKA. Nevertheless, LB may help reduce postoperative sleep disturbances, making it a recommended option for UKA patients with cardiovascular diseases and insomnia or other mental health issues.
Aged ; Female ; Humans ; Male ; Middle Aged ; Anesthesia, Local/methods* ; Anesthetics, Local/administration & dosage* ; Arthroplasty, Replacement, Knee/methods* ; Bupivacaine/administration & dosage* ; Liposomes ; Osteoarthritis, Knee/surgery* ; Pain Measurement ; Pain, Postoperative/prevention & control* ; Prospective Studies ; Treatment Outcome

Objective:To conduct simulated graduation skill assessment and annual skill assessment by self-designed objective structured clinical examination (OSCE) for standardized training of radiation oncology residents.Methods:The structured examination, standardized questions and standardized tasks of each disease were designed by teaching team of radiation oncology in the University of Hong Kong-Shenzhen Hospital. The implementation effect of the annual assessment and simulated completion assessment of standardized training for residents in radiation oncology from Class 2019 to 2021 was prospectively observed. The difference between scores by two independent examiners was analyzed by the paired t-test. The overall feedback of residents and examiners for the implementation were collected after the completion of OSCE. Results:A total of 18 residents participated in 67 sessions of 3-station skill assessments of different diseases, including 2 make-up tests. There was no difference in the score pairing and grade pairing tests between two examiners at 3 stations ( t=0.85, -0.68, -1.16; P=0.401, 0.499, 0.255). A total of 91.3% of the residents reported that the assessment well reflected their actual clinical competency. Conclusions:The current program of OSCE assessment for radiation oncology meets objectification, standardization and high efficiency, and achieves the goal of making trainers familiar with the graduation skill assessment and assessing comprehensive clinical competence. It is a reproducible and flexible structured assessment model.