Objective:To analyze pathogenic characteristics of viral diarrhea in children aged <5 years in Hebei Province and provide reference for the prevention and control of viral diarrhea in children.Methods:Stool samples were collected from in-patients with diarrhea under five years old from sentinel hospitals in Lulong County of Hebei between 2010 and 2020. ELISA detected rotavirus antigen, and then positive samples were genotyped by semi nested reverse transcription PCR of two rounds. Calicivirus, genotyping astrovirus, and adenovirus were detected by real-time fluorescence quantification PCR. The data were analyzed by using software SPSS 20.0.Results:In 2 925 detected stool samples, 1 919 (65.61%) were positive. The positive rates of rotavirus, calicivirus, adenovirus, and astrovirus were 42.80% (1 252/2 925), 22.12% (647/2 925), 6.19% (181/2 925), 3.56% (104/2 925). Viral diarrhea was mainly caused by rotavirus infection, accounting for 59.30% (1 017/1 715) between 2010 and 2017, and by calicivirus infection accounting for 53.43% (109/204) between 2018 and 2020. The peak positive rate of rotavirus occurred in winter, with the highest rate in infants aged 12 to 17 months (52.96%,483/912). In the rotavirus positive samples, G9P[8] was mainly detected strains (58.31%,730/1 252), followed by G3P[8] (8.15%,102/1 252). The calicivirus-positive samples were mainly infected with norovirus GⅡ. Sequence analysis indicated that the main type was GⅡ.4 [P31] between 2011 and 2016 and GⅡ.3 [P12] in 2018.Conclusions:Rotavirus and calicivirus were the main pathogens causing infant diarrhea in children under five years old in Hebei from 2010 to 2020. Winter was the main epidemic season.

【Objective】 To explore the characteristics of white matter degeneration in amyotrophic lateral sclerosis (ALS) patients with different onset and spreading patterns by using diffusion tensor imaging (DTI). 【Methods】 We enrolled 86 ALS patients and 44 healthy controls. The patients were divided into bulbar- and spinal-onset subgroups according to their onset site, as well as horizon, vertical, interpose/skip, and caudal-rostral subgroups based on the spreading direction of the involved regions. The white matter fiber tracts corresponding to the motor network were set as the region of interest. We used tract-based spatial statistics to evaluate differences between the above groups and the normal controls, with family-wise error (FWE) correction and P<0.05 as statistical significance. 【Results】 The white matter degeneration of ALS patients with bulbar onset was mainly limited to the corona radiation part of the corticospinal tract, while those with spinal onset showed extensive degeneration of corticospinal tract and corpus callosum Ⅲ area (FWE correction, P<0.05). In patients with horizontal and vertical dissemination, decreased integrity of the entire corticospinal tract was found, with patients in the latter group showed extra degeneration in the Ⅲ part of the corpus callosum. Restricted degeneration of the corticospinal tract within bilateral corona radiata was detected in patients with caudal-rostral and interposed/skip spreading pattens (FWE correction, P<0.05). 【Conclusion】 Different onset and disease spread patterns of ALS patients correspond to divergent brain degeneration patterns. The diagnosis, treatment, and management of ALS should fully consider the heterogeneity of the disease.

【Objective】 To investigate changes in thalamus structure and function and their associations with cognitive impairment in patients with amyotrophic lateral sclerosis (ALS). 【Methods】 3D high-resolution structural imaging and resting-state fMRI were applied in 78 ALS patients and 49 healthy volunteers. The shape of the thalamus was assessed using a vortex analysis and functional connectivity between the thalamus subregion and cortex was evaluated by a seed-based correlation analysis. Partial correlation analysis was used to evaluate the correlation between focal thalamus alterations and clinical assessments. 【Results】 Compared with the control group, vertex analysis showed significant atrophy in the prefrontal and temporal subregions of bilateral thalamus in the ALS group. Patients exhibited increased functional connectivity of motor-sensory ROI with the right motor cortex, of temporal ROI with the bilateral lateral occipital cortex, precuneus and right temporal subregion. In contrast, decreased function connectivity was found mainly between temporal ROI and paracingulate gyrus, left dorsomedial prefrontal lobe and left caudate. Partial correlation analysis showed that the functional connectivity of the precuneus, paracingulate cortex, left caudate nucleus and left prefrontal lobe was correlated with multiple cognitive performances. 【Conclusion】 Selective damage of thalamic structure and function in ALS plays an important role in cognitive and behavioral disorders.

Objective:To explore the potential mechanism of Fuzheng Jiedu Decoction created by professor Yu Huiping in the treatment of primary immune thrombocytopenia (ITP) in children based on network pharmacology.Methods:The targets of Fuzheng Jiedu Decoction and ITP were retrieved within SymMap database and TCMID database, and all the common genes in the potential targets of the decoction and ITP were retained. The interaction relationship among the targets was obtained in the String database, and cluster analysis was conducted to obtain the core target group of Fuzheng Jiedu Decoction for ITP. In the David database, the potential KEGG Pathway was obtained through enrichment analysis, the Pathway of non-specific diseases was classified and selected, and a network of "Traditional Chinese Medicine - Target - Pathway" was constructed.Results:There are 500 potential targets for Fuzheng Jiedu Decoction to treat ITP. After Cluster analysis of PPI network, a total of 16 gene clusters were obtained, among which Cluster 1 score was 65.663, making it a potential core target group for Fuzheng Jiedu Decoction to treat ITP. The core enriched target group amounts to 114 pathways, and there were four first-level catalogs which includes Human Diseases (50%), Organismal Systems (25%), Environmental Information Processing (17%), and Cellular Processes (8%). Among them, TNF signaling pathway and HIF-1 signaling pathway were highly enriched for non-specific diseases. In the nodes of the network, The Chinese herbs with the highest Degree of aggregation in the network nodes were Agrimoniae herba (Degree=66), Glycyrrhizae radix et rhizoma praeparata cum melle (Degree=64), the target proteins were MAPK3 (Degree=51),MAPK1 (Degree=50),and the pathway was PI3K-Akt signaling pathway (Degree=29). Conclusion:Fuzheng Jiedu Decoction is mainly used to treat children's ITP with Agrimoniae herba and Glycyrrhizae radix et rhizoma praeparata cum melle,and it is related to the regulation of platelet number, adhesion and focusing.

Objective:To explore the lag effect and correlation between daily average temperature and the incidence of other infectious diarrhea in Hebei Province.Methods:The data of meteorological factors (including temperature and average daily temperature) and the daily incidence of other infectious diarrhea in Zhangjiakou City, Chengde City, Tangshan City, Qinhuangdao City, Baoding City, Langfang City, Cangzhou City, Shijiazhuang City, Hengshui City, Xingtai City, and Handan City in Hebei Province from 2017 to 2020 were collected. Eleven prefecture-level cities were divided into four regions, including east, north, middle and south regions. Distributed lag non-linear model was applied to examine the non-linear associations and the lag effect of daily mean temperature on daily incidence of other infectious diarrhea. Meanwhile, the cold and hot effects were used to estinuate the lag-response relationship on the incidence of other infectious diarrhea.Results:A total of 231 008 cases of other infectious diarrhea were reported in Hebei Province. The seasonal distribution was obvious, showing a bimodal distribution of large peaks in summer and small peaks in winter. An inverse S-shaped association between average daily temperature and cumulative risk ratio ( RR) of other infectious diarrhea was observed in Hebei Province. Both high temperature (higher than 27.50 ℃) and low temperature (less than 13.67 ℃) could increase the risk of other infectious diarrhea. When the temperature was lower than 13.00 ℃, the lag time and RR had a U-shaped association (lag four to seven days, 23 to 30 days). Meanwhile, when it was higher than 13.00 ℃, it had an inverted U-shaped association (lag 5 to 21 days). A comparison of four regions of Hebei Province showed that the lag time from south to north was extended from six days to 30 days at low temperature effects with temperature P5=-7.24 ℃. When the temperature getting hot ( P95=28.25 ℃), the risk occurred at lag 0 days, and the lag time gradually got short from north to south. Thus, the high temperature effect reached maximum quickly with a relative short duration. Conclusions:The inverse S-shaped non-linear association between daily average temperature and the incidence of other infectious diarrhea in Hebei Province is observed. Both low temperature and high temperature are associated with increased risk of other infectious diarrhea. But the impact of low temperature is more notable, which has a relative long duration.

Objective: This study aimed to investigate the prevalence of externalizing behavior problems (EBPs) and its influencing factors among Hui left-behind children (LBC) in rural China. Methods: A cross-sectional study was conducted among school students from the southern rural areas in Ningxia, China (2012–2013). The general self-made questionnaire, Egma Minnen av Bardndosna Uppforstran, Eysenck Personality Questionnaire (for Children), Piers-Harris Children’s Self-Concept Scale, and Achenbach’s Child Behavior Checklist (for parents) were used to investigate the related information. Binary logistic regressions were conducted. Results: The prevalence of EBPs in boys Hui LBC was significantly higher than that of non-LBC (12.37% vs. 6.84%, χ2=4.09, and p=0.04). Multivariate logistic regression analysis showed that low self-awareness of behavior (odds ratio [OR]=29.78), introversion (OR=21.67) and intermediate personality (OR=15.83), poor academic performance (OR=11.65) and both parent migrating (OR=2.73) were the risk factors for the EBPs of Hui LBC, while middle and high father refusal and denial (OR=0.11, OR=0.09) were their protective factors. Conclusion Our findings suggest that both parent migrating is a potential risk factor for EBPs among Hui LBC. Hui boys LBC should be paid more attention when formulating relevant policies.

Objective:To evaluate the efficiency of ResNet50-OC model based on deep learning for multiple classification of color fundus photographs.Methods:The proprietary dataset (PD) collected in July 2018 in BenQ Hospital of Nanjing Medical University and EyePACS dataset were included.The included images were classified into five types of high quality, underexposure, overexposure, blurred edges and lens flare according to clinical ophthalmologists.There were 1 000 images (800 from EyePACS and 200 from PD) for each type in the training dataset and 500 images (400 from EyePACS and 100 from PD) for each type in the testing dataset.There were 5 000 images in the training dataset and 2 500 images in the testing dataset.All images were normalized and augmented.The transfer learning method was used to initialize the parameters of the network model, on the basis of which the current mainstream deep learning classification networks (VGG, Inception-resnet-v2, ResNet, DenseNet) were compared.The optimal network ResNet50 with best accuracy and Micro F1 value was selected as the main network of the classification model in this study.In the training process, the One-Cycle strategy was introduced to accelerate the model convergence speed to obtain the optimal model ResNet50-OC.ResNet50-OC was applied to multi-class classification of fundus image quality.The accuracy and Micro F1 value of multi-classification of color fundus photographs by ResNet50 and ResNet50-OC were evaluated.Results:The multi-classification accuracy and Micro F1 values of color fundus photographs of ResNet50 were significantly higher than those of VGG, Inception-resnet-v2, ResNet34 and DenseNet.The accuracy of multi-classification of fundus photographs in the ResNet50-OC model was 98.77% after 15 rounds of training, which was higher than 98.76% of the ResNet50 model after 50 rounds of training.The Micro F1 value of multi-classification of retinal images in ResNet50-OC model was 98.78% after 15 rounds of training, which was the same as that of ResNet50 model after 50 rounds of training.Conclusions:The proposed ResNet50-OC model can be accurate and effective in the multi-classification of color fundus photograph quality.One-Cycle strategy can reduce the frequency of training and improve the classification efficiency.

Objective:To understand the influence and lag effect of meteorological factors on the incidence of hand, foot and mouth disease (HFMD) in Shijiazhuang.Methods:The daily incidence data of HFMD in Shijiazhuang during 2017-2019 were collected from Chinese Information System for Disease Control and Prevention. The hourly meteorological data were collected form meteorological stations of Shijiazhuang of Chinese meteorological data network. The distributed lag nonlinear model was built for statistical analysis by software R 3.6.2.Results:When the daily average temperature was 15-26 ℃, the risk of incidence of HFMD increased at lag 3-6 days. However, the risk was highest when the temperature was 25 ℃ at lag 3 days ( RR=1.03,95% CI:1.00-1.06). When the daily average relative humidity was more than 80%, the risk of incidence of HFMD increased at lag 5-18 days. However, the risk was highest at lag 9 days ( RR=1.04, 95% CI: 1.02-1.06).When the daily average air pressure ranged from 999 hPa to 1 007 hPa, the risk of incidence of HFMD increased at lag 5-8 days. However, the risk was highest at lag 6 days ( RR=1.01, 95% CI: 1.00-1.02).When the daily average precipitation ranged from 15 to 32 mm, the risk of incidence of HFMD increased at lag 3-18 days. However, the risk was highest at lag 6 days ( RR=1.11, 95% CI: 1.02-1.19). Conclusions:Meteorological factors increased the risk of incidence of HFMD such as higher daily average temperature (15-26 ℃), higher daily average humidity (>80%), lower daily average air pressure (999-1 007 hPa) and higher daily average precipitation (15-32 mm) in Shijiazhuang during 2017-2019. They were all correlated with the incidence of HFMD with certain lag days. It is suggested to use these meteorological indicators for the early warning of HFMD.

Objective:To observe and analyze the accuracy of the optic disc positioning and segmentation method of fundus images based on deep learning.Methods:The model training strategies were training and evaluating deep learning-based optic disc positioning and segmentation methods on the ORIGA dataset. A deep convolutional neural network (CNN) was built on the Caffe framework of deep learning. A sliding window was used to cut the original image of the ORIGA data set into many small pieces of pictures, and the deep CNN was used to determine whether each small piece of picture contained the complete disc structure, so as to find the area of the disc. In order to avoid the influence of blood vessels on the segmentation of the optic disc, the blood vessels in the optic disc area were removed before segmentation of the optic disc boundary. A deep network of optic disc segmentation based on image pixel classification was used to realize the segmentation of the optic disc of fundus images. The accuracy of the optic disc positioning and segmentation method was calculated based on deep learning of fundus images. Positioning accuracy=T/N, T represented the number of fundus images with correct optic disc positioning, and N represented the total number of fundus images used for positioning. The overlap error was used to compare the difference between the segmentation result of the optic disc and the actual boundary of the optic disc.Results:On the dataset from ORIGA, the accuracy of the optic disc localization can reach 99.6%, the average overlap error of optic disc segmentation was 7.1%. The calculation errors of the average cup-to-disk ratio for glaucoma images and normal images were 0.066 and 0.049, respectively. Disc segmentation of each image took an average of 10 ms.Conclusion:The algorithm can locate the disc area quickly and accurately, and can also segment the disc boundary more accurately.

Objective:To understand the epidemiological characteristics of cases with severe and fatal hand, foot, and mouth disease (HFMD) caused by other enterovirus in Hebei province, 2013-2017. Genetic characteristics of the main pathogen cosackie virus A6 (CoxA6) were also analyzed to further clarifying the characteristics and rules of genetic evolution on this virus.Methods:Descriptive epidemiological methods were used to analyze the distribution of severe and fatal cases with HFMD caused by other enterovirus in Hebei, 2013-2017. The VP1 sequences of CoxA6 were phylogenetically analyzed, using the Mega 5.2 software package.Results:A total of 86 severe and fatal cases with HFMD caused by other enterovirus were reported, accounting for 1.12%, comparing to all the HFMD caused by other enterovirus. Cases began to rise in April, and peaked in May-July. 65.12% of the cases occurred in children between 1 and 5 years old. The sex ratio between male and female was 1.39∶1. A total of 93.02% of the cases were children outside the child care settings. A total of 39 positive strains were identified, with positive isolation rate as 45.35%. Phylogenetic analysis on the VP1 sequences of CoxA6 strains in this study revealed that CoxA6 strains belonged to sub-genotypes D3a and D3b.Conclusions:Severe and fatal HFMD cases that caused by other enterovirus in Hebei province was with seasonal feature, consistent with the overall trend of this disease, 2013-2017. No new evolutionary branch appeared in the CoxA6 strain.