Objective: To investigate the current status of hyperopic reserve among preschool children and to determine the associations with genetic and behavioral factors, so as to provide evidence for early intervention strategies and the development of working protocols for myopia prevention with a forward shift of the prevention threshold. Methods: A total of 924 preschool children (3-6 years of age) from 6 kindergartens in Jiading District of Shanghai were enrolled by stratified random sampling from March to June 2024. Cycloplegic refraction using 1% atropine eye drops was performed to obtain accurate spherical equivalent (SE) values. Questionnaires were used to collect the genetic history and daily behavioral habits of the children. Refractive status was classified into three categories based on the SE:sufficient hyperopic reserve, relatively insufficient hyperopic reserve, and pre myopia. Results: The overall detection rate of insufficient hyperopic reserve among preschool children was 82.25%, consisting of 72.29% for relatively insufficient hyperopic reserve and 9.96% for pre myopia. Multivariate Logistic regression analysis showed that parental bilateral myopia was independently and positively associated with relatively insufficient hyperopic reserve ( OR =2.13) and pre myopia ( OR =4.35) compared to children with sufficient hyperopic reserve; electronic screen exposure time ≥2 h/d on school days was an independent and positive risk factor for pre myopia ( OR =2.83); all of the above associations were statistically significant (all P <0.05). No statistically significant association was noted between outdoor activity and hyperopic reserve (all P >0.05). Conclusions The insufficient hyperopic reserve detection rate is relatively high among preschool children in Jiading District, Shanghai. Early management of electronic device use with regular screening and monitoring for preschool children with a family history of myopia should be strengthened to shift the prevention threshold earlier and prevent childhood myopia.

Objective: To analyze the status of outdoor activities on weekends among children and adolescents of different educational stages in Shanghai and their impact on myopia, so as to provide a basis for formulating more specific prevention and control protocol of myopia. Methods: From September to October 2022, a stratified cluster random sampling method was employed to select 84 schools (27 kindergartens, 21 primary schools, 15 junior high schools and 21 high schools) across Shanghai, enrolling a total of 28 654 children and adolescents aged 4 to 18 for the study. Ophthalmic examinations were conducted to ascertain the prevalence of myopia among children and adolescents. Additionally, a questionnaire survey was administered to collect data on outdoor activity duration and associated factors. Multivariate Logistic regression analysis was utilized to investigate the associated factors of outdoor activity levels on weekends. Results: The overall myopia detection rate among children and adolescents was 58.4%, with a higher rate observed in girls (59.2%) compared to boys (57.6%). The myopia detection rates for children and adolescents with an average daily outdoor activity duration of ≥2 h and <2 h on weekends were 54.6% and 68.8%, and the differences were statistically significant ( χ 2=8.12,460.89, P <0.01). Multivariable Logistic regression analysis revealed that girls ( OR =0.80), those with a myopic parent ( OR =0.68), schools from urban districts ( OR =0.72), higher education stages (primary school: OR =0.65, junior high school: OR =0.24, high school: OR =0.14) and spending≥2 h/d on homework during weekends ( OR =0.57) among children and adolescents were less likely to engage in outdoor activities for ≥2 h on weekends ( P <0.01). After incorporating gender, parental myopia status, educational stage, school location, average daily duration on weekends for spending on homework, electronic product usage and outdoor activities as dependent variables in a multivariate Logistic regression analysis, the results showed that children and adolescents with an average outdoor activity duration for ≥2 h on weekends had a lower risk of myopia ( OR =0.86, P < 0.01). Conclusions The level of outdoor activity among children and adolescents on weekends needs to be improved. Outdoor activities on weekends is an associated factor for myopia among children and adolescents. Particularly, girls, those with myopic parents, schools from urban districts, and spending long hours on homework during weekends among children and adolescents require increased attention.

Objective To explore the imaging manifestations of Rosai-Dorfman disease(RDD)in children.Methods A total of 12 children with RDD confirmed by pathology were retrospectively enrolled,including 8 cases underwent non-contrast CT(NCCT)+contrast enhanced CT(CECT),2 cases underwent NCCT+CECT+non-contrast MR(NCMR)+contrast enhanced MR(CEMR),1 case underwent NCCT+NCMR and CEMR,while 1 case underwent NCCT and X-ray examinations.Imaging manifestations of RDD in children were observed.Results Among 12 cases,intranodal type RDD was found in 7 case,extranodal type RDD in 3 cases,and mixed type(with both lymph nodes and extranodal sites affected)RDD were noticed in 2 cases.In 7 cases of intranodal type RDD,NCCT and CECT showed multiple lymph node enlargements in both sides of the neck,with uniform isodensity on NCCT and mild-moderate progressive enhancement in 5 cases,while with low-density necrotic area and ring-shaped enhancement in 2 cases.Among 3 cases of extranodal RDD,the lesion in 1 case involved nasal cavity and posterior group of ethmoid sinuses on CT and MRI,which developed circular soft tissue mass centered on nasal septum with moderate heterogeneous enhancement,also compressed the adjacent bone with destruction.In another case of extranodal RDD,CT showed that the lesion involved left ilium and bilateral parietal bones,with bone destruction accompanied by obvious periosteal reaction and soft tissue mass,which was mildly enhanced.In the rest 1 case of extranodal RDD,CT and X-ray film showed that the lesion involved the upper segment of right femur and left parietal bone,with osteolytic destruction accompanied by layered periosteal reaction.The lesions in both 2 cases of mixed type RDD involved brain(1 case involved left parieto-occipital lobe,1 case involved bilateral temporal lobes,left frontal lobe and bilateral occipital lobes),presented as isodensity on CT and equal or slightly low signal intensity on T 1WI,equal-high mixed signal intensity on T2WI,some shaped like brain gyral with mild edema of surrounding tissue,and nodular or mass-like significant enhancement.RDD involvements of bilateral lung,mediastinum and hilar lymph nodes were also observed in the above 2 cases,chest CT showed multiple nodular or small patchy uniform high-density shadows in bilateral lungs,as well as enlarged mediastinum and hilar lymph nodes.Conclusion Imaging manifestations of pediatric RDD had certain specificity,being helpful to diagnosis.

Metabolic dysfunction-associated steatotic liver disease(MASLD)is a chronic liver condition intricately linked to metabolic abnormalities such as obesity,type 2 diabetes,dyslipidemia,and hypertension.The global prevalence of MASLD continues to rise,posing a significant public health challenge.The pathogenesis of MASLD is multifactorial,with the"multiple-hit"hypothesis suggesting that hepatic lipid accumulation,insulin resistance,oxidative stress,gut microbiota dysbiosis,and genetic factors collectively drive disease progression.Currently,clinical management primarily relies on lifestyle interventions;however,there is a lack of targeted pharmacological interventions,and there is an urgent need to investigate novel adjunctive therapeutic strategies.In recent years,probiotics have demonstrated potential value in MASLD treatment due to their capacity to modulate gut microbiota,enhance insulin sensitivity,and reduce liver inflammation.This review systematically examines the pathogenesis of MASLD and the limitations of existing therapeutic approaches,synthesizing the latest evidence of probiotics-assisted therapy for MASLD from the perspectives of animal studies and clinical trials.By analyzing the target mechanisms and molecular pathways of different strains(e.g.,Bifidobacterium,Lactobacillus),this review explores the translational potential of probiotics in MASLD treatment,aiming to provide a theoretical foundation and future research directions.

Objectives:To develop a risk prediction model for sudden cardiac arrest(CA)in children with congenital heart disease(CHD)after surgery and validate its predictive efficacy,providing a reference for the prevention of CA and risk stratification.Methods:Medical records were retrospectively analyzed from 5 029 children who were hospitalized in Fuwai Hospital,Chinese Academy of Medical Sciences from January 1,2020 to May 31,2022 and underwent CHD surgery.The patients were divided into two groups:those who experienced CA after surgery(n=33)and those who did not(n=4 996).A random forest model for predicting the risk of postoperative CA was established on the training dataset using R software,and the predictive effect of the model was evaluated on the validation dataset using indicators of predictive accuracy,sensitivity,specificity,positive predictive value,negative predictive value.Results:The incidence of CA in this center was 0.66%,survival rate is 72.73%.Using the random forest algorithm,the importance of risk factors for sudden CA after CHD surgery was ranked by variable importance scoring,with the following top 6 important predictive variables:blood pressure,lactate levels,heart rate,cardiac rhythm,arterial oxygen partial pressure,and blood oxygen saturation on the first day after surgery.The model established by the random forest algorithm on the training set was validated on the test set,yielding a predictive accuracy of 99.8%,specificity of 87.5%,sensitivity of 99.9%,kappa coefficient of 0.8225,positive predictive value of 99.9%,and negative predictive value of 77.8%.Conclusions:The established prediction model of sudden CA in children with CHD after surgery had good performance.It might help medical staffon decision making of early intervention,preventing the occurrence of CA,and improving the outcomes of children with high risk of CA post surgery.

Objective:To explore the diagnostic key points, treatment strategies, and prognosis of graft-versus-host disease (GVHD) after liver transplantation.Methods:The clinical data of 5 recipients diagnosed with GVHD after liver transplantation at the Liver Transplantation Center of the First Affiliated Hospital of Army Medical University from May 1999 to October 2024 were retrospectively analyzed. The causes, onset, diagnosis, treatment, and prognosis of GVHD after liver transplantation were summarized and analyzed. Literature was searched in CNKI, Wanfang, VIP, Chinese Medical Journal Full-text Database, PubMed, Web of Science, and Google Scholar using the Chinese keywords "移植物抗宿主病+肝移植", and the English keywords "graft versus host disease + liver transplantation". The search time ranged from January 1988 to January 2025. Inclusion criteria for the literature: (1) meeting the clinical or pathological diagnostic criteria of GVHD after liver transplantation; (2) recipient age >18 years; (3) case number ≥2. Exclusion criteria: incomplete clinical data such as incidence, mortality, and clinical manifestations of GVHD after liver transplantation. The retrieved literature was reviewed.Results:All 5 recipients were male. Among them, 4 cases underwent liver transplantation at this center. The incidence of GVHD after liver transplantation in this center was 0.46% (4/872). All 5 cases developed symptoms such as fever, rash, diarrhea, oral ulcers, and pancytopenia on the 19th (5-21) day after liver transplantation. One case had gastrointestinal bleeding. Two cases were diagnosed by skin pathological biopsy, and three cases were diagnosed based on clinical manifestations such as fever, rash, diarrhea, and bone marrow suppression. One case discontinued immunosuppressants, and four cases reduced the dosage of immunosuppressants. Four cases were treated with high-dose glucocorticoids, four with intravenous immunoglobulin (IVIG), three with ruxolitinib, and three with hematopoietic factors. All five cases received protective isolation, anti-infection, and symptomatic supportive treatment. Among the three recipients treated with ruxolitinib, body temperature returned to normal, rash gradually faded, oral ulcers gradually healed, blood cells returned to normal, and they were eventually discharged after recovery. The remaining two cases showed no symptom improvement and died of severe lung infection and multiple organ failure. Literature review A total of 34 articles were included. The incidence of GVHD after liver transplantation was 1.03% (279/27 018), and the onset time ranged from 7 to 1,865 days post-transplantation; 272 cases (97.49%) occurred within 1-8 weeks. The main clinical manifestations included fever (195 cases, 69.89%), rash (267 cases, 95.70%), diarrhea (173 cases, 62.01%), and bone marrow suppression (214 cases, 76.70%). Treatment mainly involved adjustment of immunosuppressants (201 cases, 72.04%), high-dose corticosteroids (215 cases, 77.06%), and IVIG pulse therapy (146 cases, 52.33%). In the end, 83 cases (29.75%) recovered and were discharged, while the mortality rate was 70.25% (196/279), with causes of death including infection, gastrointestinal bleeding, and multiple organ failure.Conclusions:GVHD after liver transplantation has a low incidence, high mortality, and poor prognosis. Diagnosis mainly relies on typical clinical manifestations and pathological results of tissue biopsy. Early administration of high-dose corticosteroids combined with IVIG pulse therapy, timely reduction or discontinuation of immunosuppressants, use of ruxolitinib, active infection management, and enhanced symptomatic and supportive care are effective strategies for treating GVHD after liver transplantation.

Objective To sort out the management system of clinical trial drugs in our hospital,and analyze the construction and practical experience of the information system in the whole process management of clinical trial drugs,and to further improve the efficiency and quality of clinical trials.Methods Based on the original management of clinical trial drugs,an information system in line with the situation of our hospital was applied to manage the whole process of clinical trial drugs.Results Compared with the traditional management,the information system can automatically record the data of inbound and outbound storage,distribution,retrieval and return of trial drugs in real time,pre-review the prescriptions and randomized documents of clinical trial drugs,and realise paperless office.Conclusions The information system can ensure the safety,accuracy and traceability of the data of drugs used in clinical trial.The system can also save resources,improve the efficiency and quality of clinical trial management.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.