The research on medical image segmentation is of great significance in advancing efficient and accurate automated image processing techniques.To address the problem of inaccurate segmentation results caused by significant variations in organ tissue shapes and blurred boundaries present in medical images,a novel network named MFMANet is proposed.Built upon a"U"-shaped architecture,the network integrates multi-scale information fusion modules and multi-attention modules.Specifically,multi-scale information modules capture multi-scale information in the shallow layers of the network to bridge the semantic gap between encoder and decoder features,thereby enhancing the network's ability to handle large variations in organ sizes.Regarding the issue of blurred boundaries,multi-attention mechanism utilizes Swin Transformer as the deep encoder-decoder network,employing channel and spatial attention instead of traditional skip connections to achieve finer feature extraction.Experimental results on the ACDC and Synapse public datasets show that the proposed method achieves improvements of 1.51%and 1.29%in Dice similarity coefficient as compared with MTUNet,fully demonstrating its effectiveness in enhancing segmentation network accuracy.

Objective:To analyze the epidemiological and clinical features of infectious diseases of the central nervous system (CNS).Methods:A cross-sectional study and analysis were conducted to summarize the epidemiological and clinical characteristics of 9 918 patients with CNS infectious diseases, who were diagnosed and treated at 29 hospitals across China from January 1, 2001 to December 31, 2020. Data collected included demographic data, clinical manifestations, health economic indicators, and prognostic outcomes.Results:Among the 9 918 collected cases of CNS infectious diseases, 5 559 were male (56.0%) and 4 359 were female (44.0%), with an onset age of 38 (25, 53) years. Education level: slightly more junior high school education (2 651 cases, 26.7%), and less elementary school education and below (2 181 cases, 22.0%) were found. Occupational distribution: farmers were found predominant (3 215 cases, 32.4%), followed by workers (1 826 cases, 18.4%) and students (1 633 cases, 16.5%). Clinical manifestations: headache (6 074 cases, 61.2%), fever (5 869 cases, 59.2%) and positive meningeal irritation signs (2 273 cases, 22.9%) were the 3 most common clinical manifestations, followed by nausea and (or) vomiting (2 095 cases, 21.1%), impaired consciousness (2 077 cases, 20.9%), psychiatric symptom (1 866 cases, 18.8%) and epilepsy (1 627 cases, 16.4%), etc., and cranial nerve involvement was found in 669 cases (6.7%). Major pathogens included viruses in 6 814 cases (68.7%), Mycobacterium tuberculosis in 1 677 cases (16.9%), common bacteria in 864 cases (8.7%), fungi in 254 cases (2.6%), spirochetes of syphilis in 183 cases (1.8%), parasites in 121 cases (1.2%), and rickettsiae in 5 cases (0.1%). Urban-rural distribution: slightly more cases were found in the countryside (5 418 cases, 54.6%) than in the towns (4 500 cases, 45.4%). Distribution of onset by season: 2 412 cases (24.3%) fell ill in spring, 2 835 cases (28.6%) in summer, 2 187 cases (22.1%) in fall, and 2 484 cases (25.0%) in winter. Health economics: the duration of hospitalization was 15 (8, 27) days, and the cost of hospitalization was 1.53 (0.91, 3.02)×10 000 yuan. Prognosis: 9 531 cases (96.1%) were cured or improved, and 92 cases (0.9%) died. Conclusions:The pathogens responsible for CNS infectious diseases are predominantly viruses. Although the incidence is slightly higher during the summer months, the overall seasonal pattern is not particularly pronounced. These infections are more commonly observed in young and middle-aged males and present with a diverse range of clinical manifestations, contributing to a significant disease burden.

pAPN is a zinc-dependent metalloprotease,mediating the fusion between virus and host cell,and playing a role as the receptor of coronavirus.To explore the effect of pAPN on PEDV rep-lication,the full-length pAPN gene was amplified from the porcine small intestinal by PCR,and was cloned into the lentiviral vector via the homologous site digested with BamH Ⅰ and Not Ⅰ to obtain the recombinant lentiviral vector PLVX-pAPN-mCMV-ZsGreen1-puro.The recombinant lentiviral vector and helper plasmids pLP1,pLP2,pLP-VSVG were co-transfected into 293T cells for lentiviral packaging.Vero cells were infected with the packaged lentivirus and the pAPN gene overexpressing cells were screened by puromycin.The stable expression of Vero-pAPN monoclonal cell line was screened by a limited dilution method,and the effect of the cell line on the replication of PEDV was determined by qPCR for N mRNA transcription level,Western blot for N protein level,and TCID50.The results showed that the packaged lentivirus could infect Vero cells,and the monoclonal cell line Vero-pAPN(2C5)could stably expressed pAPN.The Vero-pAPN cell line can promote the replication of PEDV,the N gene mRNA transcription level was significantly different at 12-48 h(P＜0.05),the N protein expression level increased,and the TCID50 was significantly different at 24 and 48 h(P＜0.05).In conclusion,the Vero-pAPN cell line was constructed in this study and it can significantly promote the replication of PEDV,which provides a candidate cell line for PEDV vaccine production and isolation.

Purpose This study aimed to investigate the expression of CTLA-4 and PD-L1 in pulmonary lympho-epithelial carcinoma(PLEC)and to explore their relationships with patient prognosis and with tumor-infiltrating lym-phocytes(TILs).Methods Fifty cases of PLEC were retrospectively collected,together with 23 samples of adjacent normal lung tissue.Immunohistochemistry was performed to detect CTLA-4 and PD-L1 expression in both PLEC and adjacent normal lung tissues,as well as to quantify CD4+and CD8+T-lymphocytes infiltration within the tumor micro-environment.CTLA-4,PD-L1,and the distributions of CD4+T cells and CD8+T cells were then correlated with the clinicopathological features of PLEC.Results The positive rate of CTLA-4 in PLEC was significantly higher than that in adjacent normal lung tissue(P＜0.05).PD-L1 expression differed significantly across TNM stages of PLEC(P＜0.05)and was positively correlated with TNM stages(r=0.31,P=0.03).CD4+and CD8+T-lymphocytes were pre-dominantly localized in the tumor stroma,with CD4+T cells density exceeding that of CD8+(P＜0.05).Within canc-er nests,CD8+T cells density was significantly higher than CD4+(P＜0.05).Conclusion Both PD-L1 and CTLA-4 are frequently expressed in PLEC,suggesting they represent potential immunotherapeutic targets.In the PLEC micro-environment,lymphocytes primarily infiltrated the stromal compartment,and CD4+T cells are more abundant than CD8+T cells in that locale.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Paraplegia caused by spinal cord injury is a serious neurological complication, for which surgery is currently the main treatment method. Due to different surgical approaches, patients are usually expected to maintain a passive prone position for a long time or switch between the supine and prone positions. Affected by multiple factors such as neurogenic sensory disorders, pathological changes in muscle tone and operative duration, the risk of intraoperative acquired pressure injury (IAPI) is significantly increased. Current clinical prevention strategies for IAPI in these patients predominantly focus on localized pressure relief during positioning, lacking systematic, standardized comprehensive prevention protocols or evidence-based guidelines. To address it, Department of Nursing, Orthopedics Branch, China International Exchange and Promotive Association for Medical and Health Care, Spinal Trauma Professional Committee, Orthopedics Branch, Chinese Medical Doctor Association, Nursing Group of Spine and Spinal Cord Professional Committee of Chinese Association of Rehabilitation Medicine organized experts in relevant fields to formulate Guideline for the prevention of intraoperative acquired pressure injury in paraplegic patients with spinal cord injury ( version 2025), based on evidence-based medical evidence and latest research results and clinical practice at home and abroad. Eleven recommendations were put forward from the aspects of preoperative risk assessment, intraoperative prevention strategies, postoperative handover and monitoring, and supportive mechanisms for IAPI prevention, aiming to standardize the prevention measures and management strategies of IAPI in paraplegic patients with spinal cord injury and accelerate the recovery of patients and improve the therapeutic effect.

Objective To analyze the effects of the histone deacetylase inhibitor suberoylanilide hydroxamic acid(SAHA)on the secondary metabolites of the entomopathogenic fungus Samsoniella hepiali CDB9-31 using thin-layer chromatography(TLC)and high-performance liquid chromatography(HPLC).Methods The fermentation products of Samsoniella hepiali CDB9-31 treated with epigenetic modifiers were separated and purified using methods such as silica gel column chromatography,Sephadex column chromatography and reversed-phase column chromatography.The structures of the compounds were elucidated using modern spectroscopic analysis methods.The antimicrobial activity of the obtained monomeric compounds was determined using the filter paper disc diffusion method.Results The TLC and HPLC analyses of its fermentation extracts revealed that SAHA could induce the strain to produce more diverse array of secondary metabolites,and 11 monomeric compounds were isolated and identified as follows:N'-phenyloctanediamide(1),5-Phenylcarbamoyl-pentanoic(2),ergosterol(3),5,8-Epidioxy-5α,8α-ergosta-6,22E-diene-3β-ol(4),1-monolinolein(5),(4E,8E)-2-N-(2-Hydro-xypalmitoyl)-1-O-(β-D-glucopyranosyl)-9-methyl-4,8-sphingadienine(6),Ergosterol peroxide 3-O-β-D-glucopyranoside(7),(22E,24R)-7,22-diene-3β,5α,6β-ergostatriol(8),(2S,2'R,3R,4E,8E)-N-2'-Hydroxyhexadecanoyl-2-amion-9-methyl-4,8-octadecadiene-1,3-diol(9),Adenosine(10),D-Glulopyranose(11).Compounds 1 and 2 were derivatives of SAHA,and it was speculated that the special metabolic environment of CDB9-31 caused the biotransformation of SAHA.Except for compound 3,all other compounds were isolated from this genus for the first time.The antibacterial activity results showed that six of these compounds exhibited varying degrees of inhibitory effects against at least one pathogenic bacterium.Conclusion This study has enriched the chemical diversity of secondary metabolites from the entomopathogenic fungus Samsoniella hepiali.

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.

Purpose: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. Materials and Methods: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. Results: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. Conclusions The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.