BACKGROUND: Parental myopia is an important risk factor for myopia in Chinese children and adolescents. This study aimed to assess the influence of parental myopia and the severity of myopia on offspring and to evaluate whether adopting healthy lifestyles can mitigate the effects of parental myopia on offspring. METHODS: This cross-sectional study analyzed data from children and adolescents aged 6-17 years with complete vision assessments and parental history of myopia from six provinces in China during 2013-2014. Parental demographic information, children's outdoor activity time, sleep time, and sedentary time were collected via questionnaire. Parental myopia was classified as no myopia, paternal myopia, maternal myopia, and both. The offspring were categorized into 10 groups based on parental myopia prescription. Associations of the above factors with myopia in children and adolescents were evaluated by logistic regression analysis. RESULTS: Among 40,864 children and adolescents (50.3% boys and 49.7% girls), 22,537 (55.2%) were diagnosed with myopia. In comparison to offspring devoid of parental myopia, children with one parent affected by myopia exhibited odds ratio (OR) of 1.75 (95% confidence interval [CI]: 1.62-1.88) for myopia, while those with both parents affected showed OR of 2.27 (95% CI: 2.02-2.55) after adjusted for lifestyle factors. The likelihood of myopia in offspring increased with increasing severity of parental myopia, with a 3.08-fold increase in risk observed when both parents presented high myopia. Nonetheless, children adhering to two or more healthy lifestyle factors demonstrated a diminished risk of myopia compared with those with fewer than two lifestyle factors, especially among offspring of non-myopic or mildly myopic parents. CONCLUSIONS Parental myopia has a dose-dependent association with their offspring. Healthy lifestyles may reduce the impact of parental factors on myopia in offspring. The observed associations suggest that although the genetic burden of parental myopia cannot be ignored, healthy lifestyles and nurturing are also very important.
Humans ; Myopia/epidemiology* ; Child ; Male ; Female ; Adolescent ; Cross-Sectional Studies ; China/epidemiology* ; Parents ; Surveys and Questionnaires ; Risk Factors

ObjectiveTo establish an adjusted Serfling regression model to estimate the excess cases and the excess epidemic period of hand-foot-mouth disease (HFMD) in Beijing from 2011 to 2019, so as to provide data support and decision-making basis for HFMD prevention and control. MethodsThe weekly number of HFMD cases in Beijing from 2011 to 2019 was utilized for adjusted the Serfling regression model. Then the adjusted model was used to fit the baseline and epidemic threshold of HFMD in Beijing from 2011 to 2019, calculating the excess cases and determining the excess epidemic period. ResultsA total of 279 306 cases of HFMD were reported in Beijing from 2011 to 2019, with the climax of the disease occurring in summer and autumn. After adjusting the fitting R² of the Serfling regression model to 0.773, a total of 10 excess epidemic periods totaling 92 weeks were estimated, mainly occurring in summer. The highest number of excess cases during an excess epidemic period was found in 2014 (1 272 cases, 95%CI: 990‒1 554), accounting for 65.04% of the actual cases (95%CI: 50.62%‒79.46%). ConclusionThe adjusted Serfling regression model fits well and can be utilized for early warning of HFMD and estimating the disease burden caused by HFMD.

Objective To investigate the distribution and antibiotic resistance profiles of clinical isolates in Beijing Children's Hospital,Capital Medical University from 2016 to 2022.Methods All the strains isolated from inpatients in Beijing Children's Hospital during the period from 2016 to 2022 were analyzed.Antimicrobial susceptibility test was conducted by Kirby-Bauer method or automated system.Results were interpreted according to the breakpoints recommended in the CLSI Ml00 2022 edition.Results A total of 24 904 isolates were analyzed,including Gram-positive bacteria(49.4％)and Gram-negative bacteria(50.6％).The top three Gram-positive bacteria were Staphylococcus aureus(15.6％),coagulase-negative Staphylococcus(14.0％),and Streptococcus pneumoniae(8.9％).The top three Gram-negative bacteria were Klebsiella spp.(8.6％),Pseudomonas aeruginosa(8.6％),and Haemophilus influenzae(8.1％).The prevalence of methicillin-resistant strains was 30.9％in SS.aureus(MRSA)and 82.7％in coagulase-negative Staphylococcus(MRCNS).The prevalence of PRSP was 75.0％(24/32)in meningitis isolates and 2.6％(57/2 195)in non-meningitis isolates.Five strains of E.faecium and 10 strains of E.faecalis were found resistant to linezolid.Two strains of E.faecium were resistant to vancomycin.The prevalence of extended-spectrum beta-lactamases(ESBLs)and carbapenem-resistant strains(CREco)in E.coli isolates was 69.0％and 9.7％,respectively.The prevalence of ESBLs and carbapenem-resistant strains(CRKpn)in K.pneumoniae isolates was 73.7％,and 37.2％,respectively.The prevalence of carbapenem-resistant strains was 21.9％in P.aeruginosa isolates and 59.3％in A.baumannii isolates.β-lactamase was detected in 68.3％of the H.influenzae isolates.Conclusions Antimicrobial resistance is still serious in children.It is necessary to strength the surveillance of bacterial resistance and use antibiotics rationally in order to curb the spread of drug-resistant strains.

Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1％of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9％)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5％)was lower than that in inpatient children(31.5％).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1％)than in inpatient children(59.4％).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14％,11.7％,47.8％in outpatients,but 24.2％,20.6％,and 52.8％in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.

Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)％.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0％vs 29.5％).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7％vs 7.8％,0.8％vs 0.1％,both P＜0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)％with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9％and 1.8％,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1％).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10％.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P＜0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.

Sacroiliac complex injuries are commonly seen in high-energy pelvic fractures. The injuries make a big difference in treatment patterns due to the diverse injury types, posing considerable challenges in formulating optimal treatment strategies, and hence are persistent clinical difficulties in orthopedic trauma. The clinical management of sacroiliac complex injuries presents several key challenges such as a non-negligible rate of missed diagnoses in associated vascular and visceral injuries, absence of standardized protocols for surgical approaches and reduction-fixation strategies across different injury patterns, and ongoing controversies regarding surgical indications and optimal timing for patients combined with concomitant lumbosacral plexus injuries. Currently, no systematic clinical guidelines are available for the diagnosis and treatment of sacroiliac complex injuries both domestically and internationally. To this end, the Pelvic and Acetabular Surgery Group, Orthopedic Branch, China International Exchange and Promotive Association for Medical and Health Care and Orthopedic Physician Branch, Chinese Medical Doctor Association organized a panel of domestic experts in the field to develop the Clinical guideline for the diagnosis and treatment of sacroiliac complex injuries ( version 2025), based on evidence-based medicine and adhering to the principles of scientific rigor, clinical applicability, and innovation. These guidelines provided 11 recommendations covering diagnosis, therapeutic principles and techniques, management protocols for lumbosacral plexus injuries, outcome evaluation, and postoperative rehabilitation pathways, etc., aiming to standardize the clinical management of sacroiliac complex injuries.

Obesity has become a global public health challenge,and metabolic and bariatric surgery(MBS)remains one of the most effective treatments for severe obesity.However,substantial variability in patient characteristics,surgical complexity,and postoperative adherence leads to heterogeneous outcomes.The rapid evolution of artificial intelligence(AI)offers new opportunities to address these limitations.By integrating multidimensional clinical,imaging,and longitudinal follow-up data,machine learning and large language models support key aspects of MBS,including candidate selection,surgical decision-making,perioperative risk prediction,skill assessment,and long-term outcome management.Recent studies have demonstrated notable progress in decision support,complication forecasting,robotic surgery optimization,patient counselling,and postoperative weight-trajectory prediction.Nevertheless,challenges remain regarding model generalizability,ethical and regulatory oversight,data privacy,and transparency in AI-assisted decision-making.This review summarizes current advances,limitations,and future directions of AI applications in MBS,providing a reference for clinicians seeking to understand and apply these emerging technologies.

Objective To understand the pathogenic bacteria from children with vulvovaginitis and their antimi-crobial resistance.Methods Clinical data of children with vulvovaginitis and positive bacterial culture of vaginal se-cretion from Beijing Children's Hospital from January 1,2016 to December 31,2023 were analyzed retrospectively.Results Among 3 249 children with vulvovaginitis,a total of 3 389 pathogenic bacteria strains were detected,inclu-ding 1 730 strains of Gram-negative bacteria and 1 659 strains of Gram-positive bacteria,accounting for 51.05％and 48.95％,respectively.The top 5 detected pathogens were Haemophilus in fluenzae(n=1 201,35.44％),Strep-tococcus pyogenes(Group A)(n=694,20.48％),Staphylococcus aureus(n=375,11.06％),Streptococcus aga-lactiae(Group B)(n=183,5.40％),and Haemophilus parainfluenzae(n=179,5.28％).Among the isolated pathogens in pediatric patients across different age groups,Haemophilus in fluenzae accounted for 46.18％in chil-dren＜7 years old,Streptococcus pyogenes(Group A)and Haemophilus in fluenzae accounted for 27.08％and 25.86％respectively in children aged 7-11 years old,Streptococcus agalactiae(Group B)and Staphylococcus au-reus accounted for 31.50％and 18.11％respectively in children＞11-18 years old.The pathogens detected varied in different seasons.Among Gram-positive bacteria,Streptococcus pyogenes(Group A)had higher resistance rates to erythromycin and clindamycin,which were 93.52％and 92.94％,respectively.Among Gram-negative bacteria,Haemophilus in fluenzae had higher resistance rates to ampicillin,compound sulfamethoxazole,cefaclor,and cefu-roxime(all＞34％).648 Haemophilus in fluenzae strains(53.96％)and 40 Haemophilus parain fluenzae strains(22.35％)produced β-lactamase.Conclusion The common pathogenic bacteria causing infectious vulvovaginitis in children are Haemophilus in fluenzae,Streptococcus pyogenes(Group A),and Staphylococcus aureus.The detec-tion rate of β-lactamase in Haemophilus influenzae is high.Understanding the pathogen detection and antimicrobial resistance status in hospitals can provide basis for clinician's empirical and rational selection of antimicrobial agents.

Based on the actual situation of rapid increase in obesity prevalence and the current lack of a professional weight loss and bariatric surgery treatment platform in Macao, coupled with the continouous rise in the obesity population, the further development and refine-ment of obesity treatment methods has become particularly urgent. Against this backdrop, the authors conduct an in-depth discussion to analyze how Macao, leveraging its unqiue geographical location and favorable policy advantages within the broader context of collaborative development in the Guangdong-Hong Kong-Macao greater bay area, can actively explore future development paths and potential challenges in the fields of bariatric and metabolic medicine and surgery, with the aim to provide a robust reference for advancing related medical technologies in Macao, thereby enhancing the overall level of obesity treatment in the region.

Objective: To study the expression and prognosis of DHX32 in pancreatic cancer and observe the biological function of DHX32 in pancreatic cancer cell line SW1990 . To investigate the clinical significance and prognostic value of DHX32 in pancreatic cancer , and predict the possible related mechanism. Methods : GEPIA database was used to analyze the expression and prognosis of DHX32 in pancreatic cancer , and TCGA database was used to analyze the relationship between DHX32 mRNA expression level and clinicopathological features and prognosis of patients with pancreatic cancer. The effects of DHX32 on the proliferation , invasion and migration of SW1990 pancreatic cancer cells were studied by EdU immunofluorescence assay , Transwell assay and scratch assay. GSEA was used to predict DHX32 the possible related signaling pathways involved with DHX32 in pancreatic cancer. Results: The results of GEPIA database analysis showed that the expression level of DHX32 in pancreatic cancer tumor tissues was significantly higher than that in normal pancreatic tissues ( P < 0. 05 ) . Meanwhile , the prognosis of pancreatic cancer patients with high DHX32 expression was worse than that of patients with low DHX32 expression (P < 0. 001) . Cox regression analysis showed that DHX32 mRNA expression level and M stage were independent risk factors for prognosis of pancreatic cancer patients (all P < 0. 05) . EdU immunofluorescence assay , Transwell assay and scratch assay confirmed that the overexpression of DHX32 promoted the proliferation , invasion and migration of pancreatic cancer cells (all P < 0. 001) , while silencing DHX32 inhibited the proliferation , invasion and migration of pancreatic cancer cells ( all P < 0. 001) . The results of GSEA enrichment analysis showed that DHX32 was enriched in four signaling pathways : hematopoietic cell lineage , neuroactive ligand receptor interaction , primary immune deficiency and spliceosome (all P < 0. 05) . Conclusion DHX32 is highly expressed in pancreatic cancer. It promotes the proliferation , invasion and metastasis of pancreatic cancer cells , and is closely related to the poor prognosis of pancreatic cancer patients .