[Objective] To analyze the infection status of hepatitis E virus (HEV) among blood donors in Zhengzhou, so as to provide data support for formulating local blood screening strategies. [Methods] Random samples from blood donors from January to December 2022 were tested for HEV RNA using PCR technology. Reactive samples were sequenced for gene analysis, and the donors were followed up. [Results] Among 21 311 samples, 3(0.14‰) were reactive for HEV RNA, all of whom were male. Genetic sequencing results revealed that one strong positive sample was genotype 4, while sequencing failed for the other two due to low viral load. A follow-up of 25 strong positive donors showed that ALT significantly increased on day 7 after donation, anti-HEV IgM and anti-HEV IgG turned positive. On day 21, ALT returned to normal, and on day 35, HEV RNA turned negative. Notably, anti-HEV IgM and anti-HEV IgG persisted until day 482. [Conclusion] There is HEV infection among blood donors in Zhengzhou, and it is necessary to expand the screening scope to comprehensively explore the prevalence and genotype distribution of HEV among blood donors.

OBJECTIVES: To design a deep learning model that balances model complexity and performance to enable its integration into wearable ECG monitoring devices for automated diagnosis of atrial fibrillation. METHODS: This study was performed based on data from 84 patients with atrial fibrillation, 25 patients with atrial fibrillation, and 18 subjects without obvious arrhythmia collected from the publicly available datasets LTAFDB, AFDB, and NSRDB, respectively. A lightweight attention network based on depthwise separable convolution and fusion of channel-spatial information, namely DSC-AttNet, was proposed. Depthwise separable convolution was introduced to replace standard convolution and reduce model parameters and computational complexity to realize high efficiency and light weight of the model. The multilayer hybrid attention mechanism was embedded to compute the attentional weights of the channels and spatial information at different scales to improve the feature expression ability of the model. Ten-fold cross-validation was performed on LTAFDB, and external independent testing was conducted on AFDB and NSRDB datasets. RESULTS: DSC-AttNet achieved a ten-fold average accuracy of 97.33% and a precision of 97.30% on the test set, both of which outperformed the other 4 comparison models as well as the 3 classical models. The accuracy of the model on the external test set reached 92.78%, better than those of the 3 classical models. The number of parameters of DSC-AttNet was 1.01M, and the computational volume was 27.19G, both smaller than the 3 classical models. CONCLUSIONS This proposed method has a smaller complexity, achieves better classification performance, and has a better generalization ability for atrial fibrillation classification.
Atrial Fibrillation/diagnosis* ; Humans ; Electrocardiography ; Deep Learning ; Wearable Electronic Devices ; Neural Networks, Computer

Objective:To analyze the risk factors affecting regional lymph node metastasis in salivary gland mucoepidermoid carcinoma (MEC) and to establish a nomogram model for individually predicting lymph node metastasis in salivary gland MEC.Methods:The clinical data of 2 152 patients with salivary gland MEC from 1975 to 2020 were collected from the Surveillance, Epidemiology, and End Results (SEER) database of the National Cancer Institute. The collected data were divided into training cohort (1 506 cases) and validation cohort (646 cases) according to the ratio of 7∶3. Single-factor regression and multi-factor logistic regression were used to screen factors related to local lymph node metastasis in salivary gland MEC, with constructing of a nomogram. Calibration curve, receiver operating characteristic (ROC) curve, area under the ROC curve (AUC) and decision curve analysis were used to evaluate model performance in the validation cohort and the total cohort. Statistical tests were performed using SPSS (26.0) and R (4.3.0) software.Results:Multivariate logistic regression results showed that M stage [ OR(95% CI):12.360(3.295-46.365), P=0.014], pathological grade Ⅱ、Ⅲ、Ⅳ[ OR(95% CI): 1.956(1.329-2.879), 9.654(6.309-14.772), 9.298(6.072-14.238), P<0.001], T staging T2, T3, T4[ OR(95% CI): 1.706(0.932-3.124), 3.021(1.790-5.096), 3.311(1.925-5.695), P<0.001], and gender [ OR(95% CI):0.759(0.593-0.972), P=0.029] were independent factors affecting local lymph node metastasis in salivary gland MEC. Through verification in the validation cohort and the total cohort, the AUC values were greater than 0.8, and the calibration curve was close to the perfect reference line, proving that the constructed nomogram model had good specificity and sensitivity for predicting local lymph node metastasis in salivary gland MEC. Conclusion:M stage, pathological grade, T stage, and gender are risk factors for predicting regional lymph node metastasis and the established-nomogram has good predictive performance for local lymph node metastasis in salivary gland MEC.

Objective To develop a method for accurate identification of multiscale carotid plaques in ultrasound images.Methods We proposed a two-stage carotid plaque detection method based on deep convolutional neural network(SM-YOLO).A series of algorithms such as median filtering,histogram equalization,and Gamma transformation were used to preprocess the dataset to improve image quality.In the first stage of the model construction,a candidate plaque set was built based on the YOLOX_l target detection network,using multiscale image training and multiscale image prediction strategies to accommodate carotid artery plaques of different shapes and sizes.In the second stage,the Histogram of Oriented Gradient(HOG)features and Local Binary Pattern(LBP)features were extracted and fused,and a Support Vector Machine(SVM)classifier was used to screen the candidate plaque set to obtain the final detection results.This model was compared quantitatively and visually with several target detection models(YOLOX_l,SSD,EfficientDet,YOLOV5_l,Faster R-CNN).Results SM-YOLO achieved a recall of 89.44%,an accuracy of 90.96%,a F1-Score of 90.19%,and an AP of 92.70%on the test set,outperforming other models in all performance indicators and visual effects.The constructed model had a much shorter detection time than the Faster R-CNN model(only one third of that of the latter),thus meeting the requirements of real-time detection.Conclusion The proposed carotid artery plaque detection method has good performance for accurate identification of carotid plaques in ultrasound images.

Objective To develop a method for accurate identification of multiscale carotid plaques in ultrasound images.Methods We proposed a two-stage carotid plaque detection method based on deep convolutional neural network(SM-YOLO).A series of algorithms such as median filtering,histogram equalization,and Gamma transformation were used to preprocess the dataset to improve image quality.In the first stage of the model construction,a candidate plaque set was built based on the YOLOX_l target detection network,using multiscale image training and multiscale image prediction strategies to accommodate carotid artery plaques of different shapes and sizes.In the second stage,the Histogram of Oriented Gradient(HOG)features and Local Binary Pattern(LBP)features were extracted and fused,and a Support Vector Machine(SVM)classifier was used to screen the candidate plaque set to obtain the final detection results.This model was compared quantitatively and visually with several target detection models(YOLOX_l,SSD,EfficientDet,YOLOV5_l,Faster R-CNN).Results SM-YOLO achieved a recall of 89.44%,an accuracy of 90.96%,a F1-Score of 90.19%,and an AP of 92.70%on the test set,outperforming other models in all performance indicators and visual effects.The constructed model had a much shorter detection time than the Faster R-CNN model(only one third of that of the latter),thus meeting the requirements of real-time detection.Conclusion The proposed carotid artery plaque detection method has good performance for accurate identification of carotid plaques in ultrasound images.

The mini-midline catheter is a new technology for catheter placement that opens up a new field of peripheral venous access devices(PVADs)and plays an important role in the intravenous treatment of patients with fragile vasculature and difficult intravenous access(DIVA).Mini-midline catheter is more economical and easier to puncture than midline catheter,longer retention time than short cannula,lower catheter-related complications,it is the preferred solution for venous vascular access device(VAD)in short-to medium-term infusion and has been widely used in intravenous infusion abroad.Domestic research and application of this technology are still in the exploratory stage,and the specifications,guidelines and expert consensus for mini midline catheters have not yet been released,and there is a lack of standardized operation procedures,indications,contraindications and other guidelines.More studies with higher quality and multi-center linkage cooperation need to be carried out to provide a theoretical and practical basis for the formulation of industry standards for mini midline catheters in line with clinical practice.The definition,attributes,innovation,indications,advantages and disadvantages of the mini midline catheter were reviewed,so as to provide reference for clinical application.

Objective:To validate the diagnostic performance of the Paris system for reporting urinary cytology (TPS).Methods:A total of 7 046 urine cytology samples from 3 402 patients collected in the Department of Pathology, Beijing Hospital, China from January 2020 to January 2022 were analyzed. 488 patients had a biopsy or resection specimen during the follow-up period of 6 months. The sensitivity, specificity, risk of malignancy (ROM) and risk of high-grade malignancy (ROHM) of the TPS were evaluated using histological diagnosis as the golden standard.Results:Among the 7 046 samples, high-grade urothelial carcinoma (HGUC) accounted for 5.7% (399/7 046), suspicious for high-grade urothelial carcinoma (SHGUC) for 3.2% (227/7 046), atypical urothelial cells (AUC) for 8.4% (593/7 046), and negative for high-grade urothelial carcinoma (NHGUC) for 72.9% (5 139/7 046) including low-grade urothelial neoplasm (LGUN) for 0.8% (59/7 046) and insufficient samples for 9.8% (688/7 046). 488 patients had a bladder biopsy or resection in the follow-up of six months, including 314 males and 174 females, aged 27 to 92 years (average, 66 years). The ROHM of TPS was 94.7% in HGUC, 83.3% in SHGUC, 41.3% in AUC and 18.8% in NHGUC. The sensitivity and specificity of urine cytology were 70.1% (169/241) and 97.0% (162/167), respectively. The negative predictive value of NHGUC was 69.2% (162/234).Conclusions:The study has shown that TPS classification has high sensitivity and specificity, high ROHM for HGUC and SHGUC, and high negative predictive value for NHGUC. The application of TPS reporting system can better interpret the clinical significance of cytology samples, improve the accuracy of urine cytopathology and ensure continuous diagnostic consistency.

Objective:To investigate the importance of cell block and immunohistochemistry in the accurate diagnosis of serous effusion.Methods:A retrospective study was conducted on 3 124 cases of serous effusion from the Department of Pathology, Beijing Hospital from 2018 to 2022, include 2 213 cases of pleural effusion, 768 cases of peritoneal effusion, 143 cases of pericardial effusion. There were 1 699 males (54.4%) and 1 425 females (45.6%), average age 69 years old. Of which 1 292 cases were prepared with cell blocks and examined with immunohistochemical stain.Results:The percentage of malignant diagnosis increased from 64.9% (839/1 292) to 84.0% (1 086/1 292) after cell block preparation, and 1 086 cases were accurately diagnosed with histological type and/or origin of primary tumor. The undetermined diagnosis of suspected malignancy decreased from 13.3% (172/1 292) to 0.1% (1/1 292) and that of atypical hyperplasia from 18.8% (243/1 292) to 0.4% (5/1 292). The negative result for malignancy rate increased from 3.0% (38/1 292) to 15.5% (200/1 292). The differences highlighted above were statistically significant (Pearson′s chi-squared test=12.739, P<0.01). Conclusion:Application of immunohistochemistry based on cell block can significantly improve malignant diagnosis in serous effusion, identify tumor origin and histological type as well as decrease the uncertain diagnosis.

AIM:To investigate the effect of plate-let(PLT)on angiogenesis in hepatocellular carcino-ma and the intervention effect of Cinobufagin(CBG).METHODS:Firstly,we screened the suitable co-incubation ratio of PLT and hepatocellular carci-noma cells,prepared conditioned medium,and de-termined the half inhibitory concentration of Cinob-ufagin;then,we set up a control group(human um-bilical vein endothelial cells(EC)+conventional me-dium),a crosstalk group(EC+CM_HP(strip culture prepared by crosstalk of HUH7 and PLT)),and an in-tervention group(EC+CM_HP+CBG).The migration,tube-formation and sprouting capacity of EC and the level of vascular endothelial growth factor(VEGF)in co-cultured supernatant were evaluated by scratch assay,tube-formation assay,budding as-say and ELISA assay.Western blot was used to de-tect the expression of VEGFR2 and p-VEGFR2,and reverse verification was performed with inhibitors.A subcutaneous transplantation tumour model of hepatocellular carcinoma in nude mice was estab-lished,with Model group,Model+CBG group and Model+Apa group.The collagen expression of the transplantation tumour was observed by Masson staining,and the expression levels of vascular endo-thelial markers CD31 and CD34 were detected by immunofluorescence.RESULTS:When PLT:HUH7=200,the activity of HUH7 was the strongest,and the crosstalk between HUH7 and PLT significantly promoted the proliferation of EC(P＜0.01).Com-pared with Control group,the migration,tube-for-mation and budding ability of Crosstalk group were enhanced,and those of Intervention group were lower than those of Crosstalk group(P＜0.01).The expression level of VEGF in the supernatant of Crosstalk group was higher than that of Control group,while that of Intervention group was lower than that of Crosstalk group(P＜0.01).The expres-sion level of p-VEGFR2 protein in Crosstalk group was significantly higher than that of Control group,but the expression level of Intervention group was lower than that of Crosstalk group(P＜0.01).Large collagen fibre deposition was seen in the Model group,and CBG intervention significantly reduced collagen fibre deposition in the transplanted tu-mour tissues.CD31 and CD34 expression was pres-ent in the hepatocellular carcinoma transplanted tumour tissues in the Model group,and CBG inter-vention significantly reduced the expression of CD31 and CD34 in the liver cancer transplanted tu-mour tissues(P＜0.01).CONCLUSION:PLT enhances angiogenesis in hepatocellular carcinoma,and CBG may inhibit its tube-forming ability via the VEGF/VEGFR2 pathway.

Objective To analyze the related factors of postoperative quality of life in patients with acromegaly.Methods Forty-one patients with acromegaly diagnosed in People's Hospital of Xinjiang Uygur Autonomous Region from January 2013 to May 2022 and followed up for 3 months after pituitary adenoma resection were selected as subjects to collect their general basic data and biochemical indexes.AcroQoL and SF-12 scale were used to score the quality of life of all patients,and the factors affecting the quality of life after operation were analyzed.Results In the AcroQOL scale,age,education level and the time from the onset of symptoms to operation were positively correlated with psychological score(P<0.05).In the AcroQOL scale,the level of education was positively correlated with the total score and the score of mental appearance(P<0.05).There was a positive correlation between age and the score of psychological interpersonal relationship of AcroQoL scale(P<0.05),and the type of occupation affected the score of SF-12 scale(P<0.05).In the AcroQOL scale,the total score,physiological score,and psychological score of the biochemical remission group were better than those of the biochemical non-remission group(P<0.05,P<0.01,P<0.05).In the SF-12 scale,the body score of the biochemical remission group was better than that of the biochemical non-remission group(P<0.01).The preoperative insulin like growth factor 1(IGF-1)level was negatively correlated with the psychological score(P<0.05).In the SF-12 scale,the preoperative growth hormone level level was positively correlated with the physiological and psychological scores(P<0.05),and the second operation was a negative factor affecting the SF-12 score(P<0.05).The number of complications had a negative effect on the scores of all dimensions of the AcroQoL scale(P<0.05).In the scatter plot,with the increase of the level of IGF-1 before operation,the score of the AcroQoL scale showed a downward trend(P<0.05),but had nothing to do with the score of SF-12 scale(P>0.05).The size of pituitary adenoma is a negative factor affecting the psychological score of SF-12 scale(P<0.05).Conclusion Age,occupation,education level,secondary operation,complication quan-tity,radio therapy,size of pituitary adenoma,and the time from the onset of symptoms to operation all affect the postoperative quality of life of patients with acromegaly.Biochemical remission can partially improve,but not completely reverse the postoperative quality of life of patients.