Cystic echinococcosis, a zoonotic disease that poses a significant threat to human health and animal husbandry development, is prevalent across the world and predominantly occurs in agricultural and pastoral regions. However, cystic echinococcosis cases are rare in non-endemic areas, which is likely to cause misdiagnosis or missing diagnosis, resulting in delay in treatment. This report presents an overseas imported cystic echinococcosis case misdiagnosed as pulmonary and hepatic cysts, so as to provide insights into diagnosis and treatment of cystic echinococcosis in non-endemic areas.

Objective:To establish a total normalized productive maintenance(TnPM)model for medical equipment,and to explore its application value in the management of multi-source treatment equipment.Methods:In accordance with the principles of self-management,economic efficiency and dynamic improvement,the TnPM management mode of the medical equipment lifecycle management system was developed.22 multi-source treatment equipment in clinical use in the of department of burn and plastic surgery of The Second Affiliated Hospital of Air Force Medical University were selected and divided into a control group(16 units)and an observation group(18 units,including 12 of control group and 6 newly added units)according to different management modes.The control group implemented the traditional management mode,and the observation group adopted TnPM management mode.The operation quality,comprehensive efficiency and team management capabilities of the two groups were compared.Results:The equipment failure rate of the observation group was(4.82±0.21)%,which was lower than that of traditional group,the self-repair rate,maintenance rate and operating standard rate were(91.63±3.59)%,(96.60±2.47)%and(97.31±1.54)%,respectively,which were higher than those of the control group,the difference was statistically significant(t=2.434,5.246,4.525,5.311,P<0.05).The equipment availability rate,performance index and quality index of the observation group were(90.82±2.78)%,(97.03±2.24)%and(97.85±1.26)%,respectively,which were higher than those of control group,the difference was statistically significant(t=6.231,4.671,5.997,P<0.05).The assessment scores of the personnel involved in the equipment on job responsibilities,basic equipment theory,usage assurance level and management performance of observation group were(93.95±2.81)points,(91.45±2.47)points,(90.75±2.54)points and(93.08±3.34)%,respectively,which higher than those of the control group,the difference was statistically significant(t=2.831,3.979,6.472,4.001,P<0.05).Conclusion:The TnPM management mode can improve the operation quality of equipment in the treatment of clinical patients,reduce the incidence of failure,enhance the comprehensive efficiency of equipment and clinical service level,and promote the construction of a management team.

To investigate the genomic features and perform cluster analysis of Carbapenem-resistant Klebsiella pneumoniae (CRKP) to provide an experimental basis for guiding the prevention and treatment of CRKP infections.A retrospective case-cohort study was conducted on 19 non-redundant CRKP strains isolated from the Tenth Affiliated Hospital of Southern Medical University between January and June 2023. Whole genome sequencing (WGS) and multilocus sequence typing (MLST) were performed to compare genomic features and analyze the resistance genes and homology of the strains.The results showed that the 19 CRKP strains were isolated from 8 different clinical departments, mainly from respiratory specimens. The whole genome sequencing revealed that the genomic lengths of CRKP ranged from 4.90 to 5.85 Mbp, with contigs N50 values>20 kb for each genome. The median overall GC content was 57.0% (50.4%-57.1%). Comparative genomic analysis identified three regions with high genomic variability. WGS detected 32 resistance genes across 11 categories. All 19 strains carried carbapenem resistance genes ( blaKPC-2 and blaOXA-48), blaTEM-1B extended-spectrum β-lactamase resistance genes, qnrS1 quinolone resistance gene, and fosA fosfomycin resistance gene, with each strain carrying only one carbapenemase gene. The detection rate of blaKPC-2 was 94.7% (18/19). MLST identified three sequence types: ST11, ST437 and ST147, with ST11 being predominant (89.5%, 17/19). Clustering analysis based on acquired resistance genes revealed three clonal transmission patterns among strains 72 and 90, and strains 88, 84, 66 and 79.In conclusion, CRKP strains carry multiple resistance genes, and clustering analysis indicating that nosocomial clonal transmission is closely related to acquired resistance genes. The ST11- blaKPC-2 type strain is the predominant clone. Strengthened surveillance and effective control strategies are necessary to reduce nosocomial transmission of CRKP.

To investigate the genomic features and perform cluster analysis of Carbapenem-resistant Klebsiella pneumoniae (CRKP) to provide an experimental basis for guiding the prevention and treatment of CRKP infections.A retrospective case-cohort study was conducted on 19 non-redundant CRKP strains isolated from the Tenth Affiliated Hospital of Southern Medical University between January and June 2023. Whole genome sequencing (WGS) and multilocus sequence typing (MLST) were performed to compare genomic features and analyze the resistance genes and homology of the strains.The results showed that the 19 CRKP strains were isolated from 8 different clinical departments, mainly from respiratory specimens. The whole genome sequencing revealed that the genomic lengths of CRKP ranged from 4.90 to 5.85 Mbp, with contigs N50 values>20 kb for each genome. The median overall GC content was 57.0% (50.4%-57.1%). Comparative genomic analysis identified three regions with high genomic variability. WGS detected 32 resistance genes across 11 categories. All 19 strains carried carbapenem resistance genes ( blaKPC-2 and blaOXA-48), blaTEM-1B extended-spectrum β-lactamase resistance genes, qnrS1 quinolone resistance gene, and fosA fosfomycin resistance gene, with each strain carrying only one carbapenemase gene. The detection rate of blaKPC-2 was 94.7% (18/19). MLST identified three sequence types: ST11, ST437 and ST147, with ST11 being predominant (89.5%, 17/19). Clustering analysis based on acquired resistance genes revealed three clonal transmission patterns among strains 72 and 90, and strains 88, 84, 66 and 79.In conclusion, CRKP strains carry multiple resistance genes, and clustering analysis indicating that nosocomial clonal transmission is closely related to acquired resistance genes. The ST11- blaKPC-2 type strain is the predominant clone. Strengthened surveillance and effective control strategies are necessary to reduce nosocomial transmission of CRKP.

Objective:To explore the effect of minimally invasive hematoma puncture and drainage in the treatment of elderly patients with cerebral hemorrhage by using 3D slicer and Sina software to conduct 3D reconstruction and preoperative localization of intracerebral hematoma.Methods:A total of 74 elderly patients with a first-onset intracerebral hematoma aged ≥75 years, having surgical indications and stable vital signs were grouped into 3D slicer plus Sina software localization group(as group A, n=40)or CT localization group(as group B, n=34). Based on the localization, hematoma puncture and drainage were performed after local anesthesia.Preoperative preparation time, hematoma location, puncture success rate, postoperative hematoma clearance rate, postoperative re-bleeding rate and GCS score were statistically analyzed.Glasgow coma scale(GCS)scores were used in predicting the mortality.Results:The preoperative preparation time was significantly shorter in group A than in group B[(5.5±3.4)min vs.(8.5±2.7)min, t=3.337, P=0.001]. The success rate of hematoma puncture and drainage(90.0% and 70.6%, χ2=4.51, P=0.034)and postoperative hematoma clearance rate[(87.5±3.4)% and(80.3±2.7)%, t=10.10, P=0.000]were higher in group A than in group B. There were no significant differences in operative time, the accuracy of hematoma localization, re-bleeding rate and GCS score between the two groups( P>0.05). Conclusions:3D slicer plus Sina software can precisely locate the intracerebral hematoma, and minimally invasive hematoma puncture and drainage of intracerebral hematoma under local anesthesia were safe and effective in the treatment of elderly patients with intracerebral hemorrhage.

OBJECTIVE: To elucidate the pathogenic role of leukotriene B4 (LTB4) in pulmonary hyper-permeability and inflammation induced by lung-protective mechanical ventilation (LPMV) in rabbits. METHODS: Thirty-two healthy Japanese white rabbits were randomized into 4 groups for treatment with vehicle or bestatin (a leukotriene A4 hydrolase inhibitor that inhibits LTB4 production) administered intragastrically at the daily dose of 8 mg/kg for 5 days, followed by sham operation (group S and group BS, respectively, in which the rabbits were anesthetized only) or LPMV (group PM and group BPM, respectively, in which the rabbits received ventilation with 50% oxygen at a tidal volume of 8 mL/kg for 5 h). The concentrations of LTB4 and cyclic adenosine monophosphate (cAMP) in the lung tissues were analyzed by ELISA. cAMP content, protein kinase A (PKA) protein expression and the Rap1-GTP protein to total Rap1 protein ratio were determined to assess the activities of cAMP/PKA and Rap1 signaling pathways. The lung injury was evaluated by assessing lung permeability index, lung wet/dry weight ratio, polymorphonuclear leukocyte (PMN) count in bronchoalveolar lavage fluid (BALF), pulmonary myeloperoxidase (MPO) activity and lung histological scores. RESULTS: None of the examined parameters differed significantly between group S and group BS. All the parameters with the exception of lung histological score increased significantly in group PM and group BPM as compared to those in group S ( CONCLUSIONS LPMV can induce LTB4 overproduction to down-regulate cAMP/PKA and Rap1 signaling pathways in the lungs of rabbits, which results in lung hyper-permeability and inflammation. Bestatin can inhibit LTB4 production in the lungs to protect against LPMV-induced lung hyper-permeability and inflammation.
Animals ; Bronchoalveolar Lavage Fluid ; Leukotriene B4 ; Lung ; Lung Injury/prevention & control* ; Neutrophils ; Rabbits ; Respiration, Artificial/adverse effects*

We propose a novel palm-vein recognition model based on the end-to-end convolutional neural network. In this model, the convolutional layer and the pooling layer were alternately connected to extract the image features, and the categorical attribute was estimated simultaneously via the neural network classifier. The classification error was minimized via the mini-batch stochastic gradient descent algorithm with momentum to optimize the feature descriptor along with the direction of the gradient descent. Four strategies including data augmentation, batch normalization, dropout, and L2 parameter regularization were applied in the model to reduce the generalization error. The experimental results showed that for classifying 500 subjects form PolyU database and a self-established database, this model achieved identification rates of 99.90% and 98.05%, respectively, with an identification time for a single sample less than 9 ms. The proposed approach, as compared with the traditional method, could improve the accuracy of palm vein recognition in clincal applications and provides a new approach to palm vein recognition.
Algorithms ; Databases, Factual ; Hand ; blood supply ; diagnostic imaging ; Humans ; Neural Networks (Computer) ; Veins ; diagnostic imaging

Objective To improve the diagnostic accuracy of primary renal rare benign tumors by exploring and analyzing the CT/MRI and clinical pathologic features.Methods 9 patients with primary renal rare benign tumors pathologically proven lesions after operation who had CT or MRI exams with contrast were enrolled in our hospital.The radiological and clinical pathological features of all tumors were analyzed respectively.Results The cases were the mixed epithelial and stromal tumor of kidney (MESTK),cystic nephroma(CN),renal leiomyoma(RL)and renal oncocytoma(RO)respectively.Location:6 cases were in left kidney and 3 in right kidney.Size:long diameter 2.5-8.9 cm,mean 5.7 cm;short diameter 2.5-8.4 cm,mean 4.9 cm.The tumor shape included oval(n=7) and irregular(n=2).9 cases protruded from the renal surface.MESTK showed polycystic lesions on preconstrast,various degrees of cystic wall and septum enhancement were detected on enhancement scans.CN showed cystic lesions and calcification on preconstrast, slight septum enhancement were detected on enhancement scans.RL showed heterogeneous density or signal with patchy necrosis and clear border on precontrast,the obvious enhancement was found on cortex and medullary phase and slight washout enhancement was detected on excretory phase.RO showed heterogeneous hypointense on T1 WI,hyperintense on T2 WI and mixed isodensity and hypodensity on CT precontrast.Slight delayed enhancement was found in central scar and washout enhancement was detected in parenchyma on three phases.Conclusion There are some special CT/MRI characteristics for primary renal rare benign tumors,which could improve their diagnosis and differential diagnosis combined with the clinical pathological features.

Objective:To investigate the factors and mechanisms in forming uric acid stones in patients with type 2 diabetes (T2DM).Methods:106 patients with diabetes were divided into observation group and control group according to the combination of urinary calculi,53 cases in each group,The differences of clinical data and biochemical indexes between the two groups were compared,The relationship between type 2 diabetes mellitus and urinary stones was analyzed by multi factor regression analysis.Results:There were no significant difference in observation group and control group in age,sex,SBP,DBP,TC,FBG,2hPBG and HbA1C (P＞0.05),and there were of statistical difference significance in BMI,urinary pH,HOMA-IR,SUA,TUA in the two gruops (P ＜0.05) and the Logistic regression analysis showed blood uric acid,the urinary pH,HOMA-IR,SUA were independent risk factors in urolithiasis in T2DM (P ＜ 0.05).Conclusion:High uric acid hematic disease,high uric acid excretion,insulin resistance,overweight or obesity,high blood triglycerides in patients with type 2 diabetes is risk factors for urinary stone formation,in which blood uric acid,urinary pH,HOMA-IR is the independent risk factor for type 2 diabetic patients with urinary calculi.

Adenocarcinoma ; metabolism ; pathology ; Atrophy ; Biomarkers ; metabolism ; Diagnosis, Differential ; Humans ; Male ; Prostate ; pathology ; Prostatic Diseases ; metabolism ; pathology ; Prostatic Hyperplasia ; metabolism ; pathology ; Prostatic Neoplasms ; metabolism ; pathology ; Prostatitis ; metabolism ; pathology ; Xanthomatosis ; metabolism ; pathology