ObjectiveTo investigate the epidemiological and clinical characteristics of human bocavirus (HBoV) in hospitalized children with acute lower respiratory tract infection (ALRTI) at a single-center children’s hospital in Shanghai, thereby providing evidence for the diagnosis, treatment, and prevention of HBoV infection. MethodsA retrospective study was conducted on 19 537 hospitalized children with ALRTI at Shanghai Children’s Hospital from January 2021 to December 2023. Multiplex polymerase chain reaction (PCR) combined with capillary electrophoresis was used to detect HBoV and 12 other common respiratory viruses /atypical pathogens. The positive detection rate, demographic characteristics (sex, age), temporal distribution (year, season) of HBoV, as well as the clinical characteristics of severe and non-severe pneumonia were analyzed. ResultsThe overall HBoV-positive rate was 2.57% (503/19 537), with 59.44% (299/503) being single infections and 40.56% (204/503) being co-infections. The positive detection rate was significantly higher in boys than that in girls (2.78% vs 2.33%, χ²=3.88, P=0.049). The highest infection rate was observed in toddlers, followed by infants (χ²=379.57, P<0.001). The positive rate peaked in 2021 and reached its lowest point in 2023 (χ²=45.49, P<0.001), with epidemics mainly prevalent in summer and autumn. The main clinical symptoms were cough (90.06%, 453/503), fever (75.94%, 382/503), and wheezing (39.96%, 201/503). Children with severe pneumonia showed a higher incidence of wheezing compared with the non-severe group (P<0.001), while underlying diseases and co-infections had no significant association with disease severity (P>0.05). ConclusionHBoV was an important pathogen of ALRTI in children, predominantly affecting infants and toddlers, with higher susceptibility in boys and seasonal peaks in autumn and summer. The main clinical manifestations included cough, fever, and wheezing, with wheezing being more prevalent in children with severe pneumonia.

Adverse drug reactions （ADRs） refer to harmful or unintended reactions unrelated to the intended purpose of medication administration， which can lead to various issues such as accelerated disease progression and prolonged hospitalization. Traditional ADRs monitoring systems （such as spontaneous reporting systems） suffer from limitations such as low reporting rates and inconsistent data quality， which hinder the early prevention and control of ADRs. With the rapid development of information technology， machine learning has emerged as a powerful tool for management and decision-making of ADRs by leveraging its strengths in feature extraction and dynamic temporal pattern analysis. By reviewing relevant literature at home and abroad in recent years， this paper summarizes the progress in the application of machine learning for ADRs prediction. It is found that machine learning has gradually been applied to the early warning and risk prediction of ADRs in target organs such as the kidneys， liver， heart and bone marrow （such as acute kidney injury， drug-induced liver injury， and so on）. Although machine learning demonstrates significant application potential in the field of ADRs prediction， it still faces limitations such as inadequate quality control of clinical data， lack of standardized criteria for model performance evaluation， insufficient model interpretability and difficulties in clinical translation. In the future， the development trend of machine learning in the field of ADRs prediction should follow a “technology-validation-integration” pathway to systematically promote the practical implementation of models.

This article systematically reviews the current research status as well as diagnosis and treatment strategies of traditional Chinese medicine （TCM） for gastroesophageal reflux disease （GERD）. Studies demonstrate that TCM， based on the "disease-syndrome combination" approach， exhibits multi-target advantages in alleviating symptoms of various GERD subtypes， promoting mucosal repair， regulating emotions， and facilitating the reduction of western medication. To address clinical challenges such as symptom overlap and limited therapeutic efficacy， strategies have been proposed including "treating different diseases with the same method" and integrated regulation based on viscera correlation. Future efforts should focus on elucidating the mechanisms of compound prescriptions， promoting TCM drug development under the "three-combination" evaluation framework that integrates TCM theory， human experience and clinical trial evidence， and optimizing integrated traditional and western medicine models to enhance GERD management.

Objective To establish a highly efficient and sensitive technical system for the identification and analysis of platycodin-type saponins, systematically compare the differences in platycodin-type saponins among Platycodon grandiflorum from different producing areas, and provide scientific references for the screening of high-quality Platycodon grandiflorum resources, authenticity evaluation, and construction of standardized quality control systems. Methods A total of 45 batches of P. grandiflorum medicinal materials from 3 producing areas （Anhui, Henan, and Jilin, with 15 batches per area） were selected as research objects. Qualitative identification and semi-quantitative analysis of saponin components were performed based on ultra-high performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry （UHPLC-Q-TOF/MS） technology. Meanwhile, two multivariate statistical methods, principal component analysis （PCA） and partial least squares-discriminant analysis （PLS-DA）, were combined to analyze the differences in platycodin-type saponins of Platycodon grandiflorus from different producing areas. Results A total of 28 saponin components were identified from Platycodon grandiflorus of the three producing areas. PCA results showed that there were minor differences in platycodin-type saponins between Henan Platycodon grandiflorus and Jilin Platycodon grandiflorus, while Anhui P. grandiflorum exhibited significant differences from both. PLS-DA further screened 15 major differential compounds. Among them, the contents of 6 components including 3''-O-acetylpolygalacin D2 and platycodin H in Anhui Platycodon grandiflorus were higher than those in Henan and Jilin Platycodon grandiflorus; platycodigenic acid A had the highest content in Jilin Platycodon grandiflorus; the contents of platycodin D3, polygalacin J, and polygalacin D were relatively higher in Henan Platycodon grandiflorus. Conclusion This study clarified the characteristic differences in core components of Platycodon grandiflorus from the three major producing areas, which provided an important theoretical basis for the screening of high-quality Platycodon grandiflorus resources, elucidation of the mechanism underlying its authenticity, and construction of a standardized quality control system.

Purpose To explore the feasibility and validity of radiomics combined with blind/referenceless image spatial quality evaluator(Brisque)for automated assessment of arterial-phase image quality in hepatic gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)dynamic enhanced MRI examinations.Materials and Methods A total of 326 arterial phase images from January 2020 to March 2024 in the First Affiliated Hospital of Henan University of Chinese Medicine for liver Gd-EOB-DTPA dynamic enhancement MRI examination were retrospectively collected.A 4-level(1-4 points)Likert scale was used for subjective image quality scoring,and then binary classification was used to divide the images into clinically acceptable group(166 images with a score of 2-4)and clinically unacceptable group(160 images with a score of 1).All images were randomly divided into a training set(227 images)and a test set(99 images)in a 7∶3 ratio.Brisque images were created based on arterial-phase images,and subsequently Brisque image features,image histologic features of the original arterial-phase images and combined features of the two were extracted.The extracted data were reduced in dimension and the optimal features of radiomics were selected.Based on the Logistic regression algorithm,radiomics models,Brisque models and combined models of the two were constructed.The receiver operating characteristic curve was drawn for each subject,and the area under the curve(AUC),threshold,sensitivity,specificity,accuracy,negative predictive value and positive predictive value were calculated to analyze the diagnostic performance of each model,and the net benefit of the models was evaluated by decision curve analysis.Results The AUC values of the radiomics model,Brisque model and combined model in the training set were 0.942(95%CI 0.914-0.969),0.722(95%CI 0.655-0.788)and 0.967(95%CI 0.947-0.987),respectively.In the test set,the AUC values were 0.904(95%CI 0.848-0.960),0.684(95%CI 0.579-0.789)and 0.920(95%CI 0.866-0.972),respectively.There was statistically significant difference between two of the three models in the training set(Z=6.493,3.397,7.427;all P<0.05);in the test set,there was statistically significant difference between the combined model and the Brisque model,and between the radiomics model and the Brisque model(Z=4.137,3.740,both P<0.05),but no statistically significant difference between the combined model and the radiomics model(P>0.05).The diagnostic performance was higher in the combined model in both the training set and the test set.The decision curve analysis curve suggested that the net benefit of the combined model was greater than that of the other two models.Conclusion Radiomics combined with Brisque can be applied in the assessment of the quality of arterial-phase images in Gd-EOB-DTPA dynamic-enhanced MRI examinations of the liver to automatically detect clinically unacceptable arterial-phase images of the liver with high diagnostic efficacy,which contributes to the improvement of the quality of the images at the time of acquisition,leading to a reduction in the number of duplicate scans and an increase in the accuracy of the diagnosis.

Purpose To evaluate the diagnostic value of an abbreviated protocol MRI(AP-MRI)based on first post-contrast subtracted(FAST)images for breast cancer detection.Materials and Methods This study included imaging data from 160 female patients with solid breast lesions who underwent breast MRI in the First Affiliated Hospital of Henan University of Chinese Medicine from April 2021 to January 2024.Two AP-MRI protocols were extracted from the full diagnostic protocol(FDP),including:dynamic contrast-enhanced MRI(DCE-MRI)A protocol:FAST and maximum-intensity projection(MIP)images,and DCE-MRI B protocol:FAST+MIP+diffusion-weighted imaging(DWI).Lesions categorized as breast imaging reporting and data system(BI-RADS)1-3 were classified as negative,and those categorized as BI-RADS 4-5 were classified as positive.Pathological findings served as the diagnostic gold standard.Two radiologists independently evaluated the lesions as negative/positive and compared with the gold standard.The sensitivity,specificity and accuracy of the three protocols were compared.Receiver operating characteristic curves were generated for each protocol,and the area under the curve(AUC)was compared.Results The accuracy of the three protocols showed statistically significant differences(Cochran's Qreader1=6.000,P=0.050;Cochran's Qreader2=10.909,P=0.012).The accuracy of the DCE-MRI A protocol was significantly lower than that of the FDP protocol(Z=2.449,Preader1=0.043;Z=2.858,Preader2=0.013).There were no statistically significant differences in sensitivity(Cochran's Qreader1=3.000,P=0.223;Cochran's Qreader2=2.667,P=0.264)or specificity(Cochran's Qreader1=3.000,P=0.223;Cochran's Qreader2=2.800,P=0.247)between the two AP-MRI protocols and the FDP protocol.There were no statistically significant differences in AUC between the DCE-MRI B protocol and the FDP protocol(Z=1.390-1.719,all P>0.05),while the AUC of the DCE-MRI A protocol had lower AUCs than the FDP protocol(Z=1.980,2.441;both P<0.05).Conclusion The AP-MRI protocol combining FAST,MIP and DWI shows diagnostic accuracy comparable to that of the FDP and greatly saves time and cost,suggesting its potential as an alternative imaging strategy for women with dense breasts and as a new diagnostic approach for high-risk populations.

Objective To observe the efficacy of self-guided attention network for detecting responsible lesions related to cerebral palsy(CP)in children with periventricular white matter injury(PVWMI).Methods Totally 383 children with PVWMI were retrospectively enrolled and divided into CP group(n=243)and non-CP group(n=140),while 214 children without obvious brain abnormality on brain MRI were taken as control group.ROI of 4 key anatomical structures related to CP,i.e.centrum semiovale,posterior limb of internal capsule,cerebral peduncle and thalamus were delineated on T1WI,while responsible lesions related to CP within the key anatomical structures were labeled on T2WI,and the images were then registrated and used as input of the networks.ResNet34 network was adopted combined with attention and self-guided networks to train the network for detecting responsible lesions related to CP in children with PVWMI,and their efficacies were evaluated.The optimal network was screened,and its efficacy for segmenting the key anatomical structures was evaluated.Results Self-guided attention network was the optimal network,its area under the curve(AUC)for detecting lesions was 0.794-0.914,and the Dice similarity coefficient for segmenting the key anatomical structures was 0.702-0.764.Conclusion Self-guided attention network could be used for preliminarily detecting responsible lesions related to CP in children with PVWMI.

The intestinal flora and its metabolites are closely bound up with the metabolism and immune function of human body and at the meantime affect the metabolisms of nutrients and drugs,which play an important role in maintaining the physiological function.As the largest reservoir of microorganisms within the human body,the intestinal flora play a vital role in maintaining the health.Numerous studies have shown that the alteration of intestinal flora may not only affect the emergence of gastrointestinal diseases but also has impact on the common diseases of multiple systems,it may mediate the emergence and development of relevant diseases through gut-kid-ney axis,gut-liver axis,and gut-brain axis,and interact with the diseases.As a traditional Chinese medicine ex-ternal therapy,the traditional Chinese medicine enema therapy has remarkable advantages in treatment of various clinical diseases and shows significant effect on improvement of intestinal flora imbalance during the disease pro-gression.The effect of the traditional Chinese medicine enema therapy on improving the intestinal flora imbalance of the patients during the process of emergence and development of the common diseases is reviewed in the article.

Objective:To investigate the current prevalence and control status of coal-burning-borne endemic fluorosis in key areas of the disease in Zhenxiong County of Yunnan Province, thereby providing scientific basis for formulating subsequent prevention strategies and measures.Methods:From October to November 2023, a simple random sampling method was used to conduct a survey in three key townships (towns) in Zhenxiong County, Chishuiyuan Town, Yanyuan Town, and Linkou Yi and Miao Ethnic Township. Three administrative villages were selected from each township (town) as survey sites, and dental fluorosis examination on children aged 8 - 12 years who were born and lived in the local area was conducted. Thirty households were selected from each survey site, the use of household stoves and the formation of related healthy living behaviors were investigated. At the same time, a survey was conducted among primary school students and housewives to investigate their knowledge of coal-burning-borne endemic fluorosis prevention and control. The control and elimination of endemic areas were evaluated according to the "Assessment Protocol for Control and Elimination of Key Endemic Diseases (2019 Edition)".Results:A total of 1 172 children were examined, and the detection rate of dental fluorosis was 7.76% (91/1 172), with a dental fluorosis index of 0.11. A total of 295 households were investigated, and the qualified improved stoves rate and the correct use rate of qualified improved stoves were 95.59% (282/295) and 100% (282/282), respectively. The correct drying rate of edible corn and chili peppers was 79.66% (235/295). The awareness rates of coal-burning-borne endemic fluorosis prevention and control knowledge among housewives and primary school students were 46.69% (409/876) and 82.49% (440.5/534), respectively. Among the 9 villages investigated, two villages had met the criteria for eliminating endemic disease areas, two villages had met the criteria for controlling endemic disease areas, and the remaining 5 villages were uncontrolled.Conclusions:After implementing the comprehensive prevention and control measures mainly based on changing stoves, coal-burning-borne endemic fluorosis condition in Zhenxiong County has been effectively controlled, but there is still a significant gap between the elimination goals of some endemic fluorosis areas. Therefore, it is necessary to continue to strengthen prevention and control measures and promote health education.

Objective:To investigate the current status and challenges of pediatric life support training in China and provide references for improving training quality.Methods:A cross-sectional study was conducted to collect data from pediatric life support training centers across the country，covering basic institutional information，training capacity and training faculty，training program funding，as well as existing challenges and issues.The domestic registry of training centers in 2023 was obtained through the American Heart Association's online platform.After contacting and verifying each center，an online questionnaire was distributed，and the aggregated data were statistically analyzed.Results:A total of 42 institutions participated in the survey，including 19 children's hospitals，14 general hospitals，6 maternal and child health hospitals，2 women and children’s hospitals，and 1 training institution.The distribution of training centers showed a concentration in coastal areas，with the top three provinces/municipalities being Guangdong（7/42，16.7%），Zhejiang（6/42，14.3%），and Shanghai（4/42，9.5%）.As of December 31 2023，the 42 institutions had an annual basic life support（BLS）training volume of 8 587 individuals，the median was 120 (100,200)，and an annual pediatric advanced life support（PALS）training volume of 2 448 individuals，the median was 30 (20,50).Among the 42 institutions，there were 598 BLS instructors and 306 PALS instructors.Among the surveyed institutions，24（24/42，57.1%）reported BLS instructor teams comprising fewer than 10 members，and 33（33/42，78.6%）reported PALS instructor teams comprising fewer than 10.Only 7 centers(7/42,16.7%）reported having dedicated funding support.The top three challenges were：training sessions occupying instructors’personal time（27/42，64.3%），low instructor compensation（16/42，38.1%），and issues with the data submission system（16/42，38.1%）.Conclusion:Pediatric life support training centers in China are primarily children’s hospitals，with a geographical concentration in coastal areas，which is also reflected in the distribution of training scale and instructor resources.Most centers have relatively small training scales and limited instructor capacity，with many instructors conducting training during their personal time.These issues may hinder the implementation and effectiveness of training programs.