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.

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.

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 compare the efficacy and safety of different cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) combined with endocrine therapy (ET) for the treatment of hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2−) advanced or metastatic breast cancer. Methods Randomized controlled trials (RCTs) on CDK4/6i for the treatment of HR+/HER2− metastatic or advanced breast cancer were retrieved from databases including PubMed, EMbase, Web of Science, The Cochrane Library, CNKI, Wanfang, VIP, and SinoMed, with the search period ranging from database inception to August 2023. Bayesian network meta-analysis was conducted using R 4.2.0 software. Results A total of 18 RCTs from 25 articles, involving 8 031 patients and 11 treatment regimens, were included. There was no significant difference in progression-free survival (PFS) or overall survival (OS) among different CDK4/6i+ET combinations. The highest cumulative probability for PFS was observed with dalpiciclib (DAL)+fulvestrant (FUL), while ribociclib (RIB)+FUL ranked first for OS. In terms of efficacy, abemaciclib (ABE)+aromatase inhibitors (AI) and ABE+FUL ranked first in objective response rate and clinical benefit rate, respectively. Regarding safety, statistically significant difference in grade 3-4 adverse events was observed among certain types of CDK4/6i (P<0.05). Conclusion Current evidence suggests that CDK4/6i+ET is superior to ET alone for the treatment of HR+/HER2− advanced/metastatic breast cancer. Different CDK4/6i+ET combinations demonstrate comparable or similar efficacy; however, the incidence of adverse reactions is higher with combination therapy. Treatment regimens should be selected based on individual conditions.

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.

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.

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.

Objective To explore the expert consensus on perinatal care management of infants with congenital heart disease(hereinafter referred to as"Consensus")in order to promote the standardization of integrated nursing.Methods The literature was systematically searched and several discussions were organized within the group to compile the first draft of the Consensus.From January to March 2024,20 experts in the clinical nursing,nursing management,clinical medicine and other fields of congenital heart disease were solicited through 2 rounds of Delphi,and 8 experts were invited to conduct a validation to revise the items to form the final Consensus.Results The recovery rates of the 2 rounds of questionnaires were 100％;the experts'authority coefficient was 0.89;the Kendall's W were 0.172,0.211,with statistical significance(P＜0.05).The Consensus included 8 first-level subjects,namely prenatal examination and consultation,postpartum screening,standardized referral,preoperative nursing,intraoperative nursing,postoperative nursing,other disease screening,health education and discharge follow-up.Conclusion The Consensus is scientific and rigorous,and it can provide a reference basis for clinical nursing staff to carry out the care and management of newborns with congenital heart disease.