Objective To investigate the influencing factors for stroke-associated pneumonia(SAP)in acute ischemic stroke(AIS)patients after endovascular treatment(EVT).Methods A retrospective case-control trial was conducted on 426 AIS patients with large vessel occlusion(LVO)in anterior circulation admitted in the neurological departments from First Affiliated Hospital of Army Medical University and Zigong Third People's Hospital during January 2017 and April 2021.Based on SAP occurrence or not,they were divided into an SAP group and a non-SAP group.Demographic information(gender and age),TOAST stroke subtypes(large artery atherosclerosis type,cardiac embolism type,others),vascular risk factors(hypertension,hyperlipidemia,diabetes,atrial fibrillation,smoking,prior stroke history,smoking),and post-onset clinical data[dysphagia,LDL cholesterol,white blood cells,neutrophils,baseline and postoperative NIHSS scores,endovascular outcomes(mTICI grade 2b or 3),90-day good prognosis(mRS 0-1)]were collected and compared between the 2 groups.Multivariate logistic regression analysis was performed using the parameters with P<0.1 in univariate analysis as independent variables to investigate factors influencing SAP occurrence after EVT in AIS patients.Results Among the 426 participants,SAP occurred in 194 cases(45.5%).Multivariate logistic regression analysis revealed that admission white blood cell count(OR=1.125,95%CI:1.043～1.213,P=0.000 2),postoperative NIHSS score(OR=1.019,95%CI:1.001～1.037,P=0.041),and male(OR=1.687,95%CI:1.078～2.638,P=0.022)were associated with SAP occurrence after EVT in AIS patients.Conclusion Higher admission white blood cell count,elevated postoperative NIHSS score,and male gender are risk factors for SAP in AIS patients after EVT.These risk factors should be focused on clinical practice to control SAP incidence.

Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*

Objective To deeply understand the anatomical basis of temporomandibular joint disorders,and explore and master the pathological characteristics of anterior displacement of temporomandibular joint disc through cadaveric dissection and 3D printing technology.Methods By dissecting the temporomandibular joints of 40 head and neck specimens,the bilateral structures of the temporomandibular joints were measured to obtain condyle and articular disc data.3D modeling was carried out using 3ds Max software and printed out a model of temporomandibular joint.The pathological model of the anterior disc displacement with reduction(ADDwR)was simulated by adjusting the opening degree,the position of the articular disk,and the position of the condyle of the model.Results The precise data of the right and left temporomandibular joint discs and condyle were successfully obtained by dissection and measurement.The thickness of the anterior band of left temporomandibular joint discs was(2.02±0.57)mm,the thickness of the middle band was(1.46±0.33)mm,the thickness of the posterior band was(3.00±0.46)mm,the anterior-posterior diameter was(9.60±0.72)mm,and the internal-external diameter was(17.73±0.84)mm.While the thickness of the anterior band of right temporomandibular joint discs was(1.84±0.35)mm,and the thickness of the middle band was(1.43±0.28)mm,the thickness of posterior band was(3.08±0.49)mm,the anterior-posterior diameter was(9.30±0.88)mm,and the internal-external diameter was(17.38±1.10)mm.The internal-external diameter of the left temporomandibular joint condyle was(18.97±0.41)mm,and the anterior-posterior diameter was(8.56±0.43)mm;the internal-external diameter of the right temporomandibular joint condyle was(18.86±0.75)mm,and the anterior-posterior diameter was(8.40±0.30)mm.The standard temporomandibular joint model was printed out by the measured data.The model was utilized to simulate the physiological state of temporomandibular joint under normal conditions,as well as the three pathological states of closed mouth,closed mouth to open mouth,and open mouth in the case of ADDwR.Conclusion The temporomandibular joint model can more intuitively present the changes of anatomical structure in reversible temporoman-dibular joint disorders,which is helpful for understanding and mastering the different classification of this disease.

Objective To propose a lead attention network-based ST-T change recognition algorithm to detect ECG ST-T changes accurately.Methods Firstly,heartbeat signals were extracted through R-wave localization,and a 12-lead heartbeat matrix was generated by correlation-based screening and merging to realize data augmentation.Secondly,a lead attention module was constructed by combining depthwise convolution(DWConv)with the channel attention squeeze-and-excitation block(SE-block)structure to perceive the differences in ST-T status among electrocardiogram leads.Thirdly,the mapping output by two independent attention modules was fused and splicing with the original signal residual was carried out,so that attention information extraction and original information transfer were enhanced effectively.Finally,SE-ResNet was used as the backbone network to extract signal features to complete the classification and identification of ST-T changes.To validate the recognition performance of the proposed algorithm for ST-T changes in ECG,the 12-lead ECG data of 97 472 patients containing different ECG rhythms were collected for ablation and comparison experiments at the First Affiliated Hospital of Army Medical University.Results The proposed algorithm achieved an AUC of 0.965 with a sensitivity of 90.51%,specificity of 90.23%,positive predictive value of 89.24%and overall accuracy of 90.36%on an independent test set.Comparative analysis demonstrated superior performance to four benchmark architectures,including VGG16,ResNet18,MobileNetV3-Small and ShuffleNet,in terms of both classification accuracy and computational efficiency.Conclusion The algorithm designed can accurately detect ST-T changes and can be used for wearable ECG automatic analysis to assist in the early warning of cardiovascular diseases in both acute and chronic patients and highland residents.[Chinese Medical Equipment Journal,2025,46(7):1-11]

Objective To deeply understand the anatomical basis of temporomandibular joint disorders,and explore and master the pathological characteristics of anterior displacement of temporomandibular joint disc through cadaveric dissection and 3D printing technology.Methods By dissecting the temporomandibular joints of 40 head and neck specimens,the bilateral structures of the temporomandibular joints were measured to obtain condyle and articular disc data.3D modeling was carried out using 3ds Max software and printed out a model of temporomandibular joint.The pathological model of the anterior disc displacement with reduction(ADDwR)was simulated by adjusting the opening degree,the position of the articular disk,and the position of the condyle of the model.Results The precise data of the right and left temporomandibular joint discs and condyle were successfully obtained by dissection and measurement.The thickness of the anterior band of left temporomandibular joint discs was(2.02±0.57)mm,the thickness of the middle band was(1.46±0.33)mm,the thickness of the posterior band was(3.00±0.46)mm,the anterior-posterior diameter was(9.60±0.72)mm,and the internal-external diameter was(17.73±0.84)mm.While the thickness of the anterior band of right temporomandibular joint discs was(1.84±0.35)mm,and the thickness of the middle band was(1.43±0.28)mm,the thickness of posterior band was(3.08±0.49)mm,the anterior-posterior diameter was(9.30±0.88)mm,and the internal-external diameter was(17.38±1.10)mm.The internal-external diameter of the left temporomandibular joint condyle was(18.97±0.41)mm,and the anterior-posterior diameter was(8.56±0.43)mm;the internal-external diameter of the right temporomandibular joint condyle was(18.86±0.75)mm,and the anterior-posterior diameter was(8.40±0.30)mm.The standard temporomandibular joint model was printed out by the measured data.The model was utilized to simulate the physiological state of temporomandibular joint under normal conditions,as well as the three pathological states of closed mouth,closed mouth to open mouth,and open mouth in the case of ADDwR.Conclusion The temporomandibular joint model can more intuitively present the changes of anatomical structure in reversible temporoman-dibular joint disorders,which is helpful for understanding and mastering the different classification of this disease.

Objective To propose a lead attention network-based ST-T change recognition algorithm to detect ECG ST-T changes accurately.Methods Firstly,heartbeat signals were extracted through R-wave localization,and a 12-lead heartbeat matrix was generated by correlation-based screening and merging to realize data augmentation.Secondly,a lead attention module was constructed by combining depthwise convolution(DWConv)with the channel attention squeeze-and-excitation block(SE-block)structure to perceive the differences in ST-T status among electrocardiogram leads.Thirdly,the mapping output by two independent attention modules was fused and splicing with the original signal residual was carried out,so that attention information extraction and original information transfer were enhanced effectively.Finally,SE-ResNet was used as the backbone network to extract signal features to complete the classification and identification of ST-T changes.To validate the recognition performance of the proposed algorithm for ST-T changes in ECG,the 12-lead ECG data of 97 472 patients containing different ECG rhythms were collected for ablation and comparison experiments at the First Affiliated Hospital of Army Medical University.Results The proposed algorithm achieved an AUC of 0.965 with a sensitivity of 90.51%,specificity of 90.23%,positive predictive value of 89.24%and overall accuracy of 90.36%on an independent test set.Comparative analysis demonstrated superior performance to four benchmark architectures,including VGG16,ResNet18,MobileNetV3-Small and ShuffleNet,in terms of both classification accuracy and computational efficiency.Conclusion The algorithm designed can accurately detect ST-T changes and can be used for wearable ECG automatic analysis to assist in the early warning of cardiovascular diseases in both acute and chronic patients and highland residents.[Chinese Medical Equipment Journal,2025,46(7):1-11]

Objective:To investigate the genetic causal relationship of leukocyte telomere length(LTL)with prostatitis,orchi-tis and epididymitis by two-sample Mendelian randomization(MR).Methods:Using LTL as the exposure factor and prostatitis,or-chitis and epididymitis as outcome factors,we mined the Database of Genome-Wide Association Studies(GWAS).Then,we analyzed the causal relationship of LTL with prostatitis,orchitis and epididymitis by Mendelian randomization using inverse variance weighting(IVW)as the main method and weighted median and MR-Egger regression as auxiliary methods,determined the horizontal multiplicity by MR-Egger intercept test,and conducted sensitivity analysis using the leaving-one-out method.Results:A total of 121 related sin-gle nucleotide polymorphisms(SNPs)were identified in this study.IVW showed LTL to be a risk factor for prostatitis(OR=1.383,95％CI:1.044-1.832,P=0.024),and for orchitis and epididymitis as well(OR=1.770,95％CI:1.275-2.456,P=0.000 6).Conclusion:Genetic evidence from Mendelian randomized analysis indicates that shortening of LTL reduces the risk of prostatitis,orchitis and epididymitis.

Hepatic ascites is one of the common and difficult complications in the decompensated stage of liver cirrhosis， and its incidence is increasing. In clinical practice， the prognosis of patients with hepatic ascites after surgery is worse， and the disease is recurrent. Traditional Chinese medicine （TCM） has certain advantages in treating hepatic ascites. However， there is no uniform standard for the preparation of animal models of hepatic ascites in accordance with TCM evidence. Therefore， this paper summarized the literature on animal models of hepatic ascites and analyzed the existing animal models of hepatic ascites based on the clinical diagnostic criteria of hepatic ascites in TCM and western medicine. The results show that the commonly used modeling methods for hepatic ascites mainly include the single-factor method， composite factor induction method， surgical method， and immunization method. Most of them are guided by western medicine theories， and their pathogenic mechanisms are mostly consistent with those of western medicine and are different from TCM evidence. Therefore， it is suggested that TCM intervening factors should be imposed in the process of model preparation， so as to prepare an animal model of hepatic ascites that meets the clinical evidence characteristics of TCM and western medicine.

Objective:To screen differentially expressed circular RNA (circRNA) in rat articular chondrocyte injury induced by T-2 toxin, and explore the mechanism of cartilage injury.Methods:Twenty-four SD rats (males, body weight 60 - 80 g) were randomly divided into T-2 toxin group (administrated T-2 toxin 100 ng·g -1·d -1 by gavage) and control group (administrated equal amounts of deionized water by gavage) using a random number table method, 12 rats in each group. After 4 weeks of intervention, the articular cartilage was collected for transcriptome sequencing. Deseq2 software [ P < 0.05 and |log 2(fold change)| > 1, fold change was the multiple of differential expression] was used to identify differentially expressed circRNA. Based on the competing endogenous RNAs (ceRNA) hypothesis, the miRanda software was used to predict the microRNA (miRNA, miR) binding sites of differentially expressed circRNA, and Cytoscape 3.10.0 software was used to plot the circRNA-miRNA interaction network. MiRWalk 3.0, MiRDB, and miRTarBase softwares were used to predict downstream target genes, and Cytoscape 3.10.0 software was used to map the circRNA-miRNA-mRNA interaction network. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used to analyze the biological functions and enrichment pathways of target genes. Results:A total of 19 differentially expressed circRNAs were screened (including 10 upregulated and 9 downregulated). A total of 1 320 miRNAs binding sites and 16 target genes were predicted. Target gene enrichment analysis revealed significant enrichment of mitogen-activated protein kinase (MAPK) and nuclear factor kappa-B (NF-κB) signaling pathway ( P < 0.05). Tumour necrosis factor receptor-associated factor 6 (Traf6) and interleukin-1 receptor-associated kinase 1 (Irak1) were enriched in the MAPK and NF-κB signaling pathways, with corresponding miRNA and circRNA of miR-146a-5p and chr2: 94716330|94720889. Conclusion:Nineteen differentially expressed circRNAs in rat articular chondrocyte injury are successfully screened, and chr2: 94716330|94720889 may regulate the MAPK and NF-κB signaling pathways through the miR-146a-5p/Traf6/Irak1 axis, inducing articular chondrocyte injury.

Objective: To investigate the diagnosis and treatment of Chiari malformation patients with hoarseness and other otorhinolaryngological symptoms. Methods: The clinical data of 18 patients of Chiari malformation with hoarseness were retrospectively collected, which was composed of 5 men and 13 women, aged 3-71 with median age of 52. All the patients were admitted to the Affiliated Hospital of Qingdao University from January 1989 to January 2020. All patients underwent brain MRI and laryngoscopy. The patient's symptoms and first diagnosis department, diagnosis time, total course of disease, hoarseness course, diagnosis and treatment, and postoperative recovery time were summarized. Follow-up time was 3-16 years, with median follow-up time of 6.5 years. Descriptive methods were used for analysis. Results: The first visit departments of 18 patients included neurology (9 cases), otorhinolaryngology head and neck surgery (5 cases), pediatrics (2 cases), orthopedics (1 case) and respiratory department (1 case). Except for the 7 cases in neurology department, the other 11 patients were not diagnosed in time. The disease duration of 18 patients with Chiari malformation ranged from 2 months to 5 years, and hoarseness was present from 20 days to 5 years. After diagnosis, 9 patients underwent posterior fossa decompression surgery, and 1 of them underwent syrinx drainage at the same time. The symptoms of 8 cases improved significantly after operation, with the improvement time from 1 to 30 days. In addition, 9 patients chose conservative treatment, among whom 8 had no improvement in symptoms and 6 progressed. Conclusions: Posterior fossa decompression is an effective treatment for Chiari malformation, and the prognosis is good. Timely diagnosis and treatment can improve the prognosis of patients.
Male ; Humans ; Female ; Child ; Hoarseness/etiology* ; Retrospective Studies ; Conservative Treatment ; Drainage ; Laryngoscopy