Objective:To describe the prevalence of myopia and pre-myopia among preschool children aged 5-6 years in ten provinces or municipalities(hereinafter referred to as province)of China,and to provide a reference for the prevention and control of myopia,and the allocation of related health re-sources.Methods:Convenience sampling was used to select preschool children aged 5-6 years from 21 cities in 10 provinces(including 8 provinces and 2 municipalities)in China.Cycloplegic autorefraction was conducted.The distribution of myopia and pre-myopia was described using frequencies and percenta-ges.The Chi-square test was used to compare the differences in the prevalence of myopia and pre-myopia between regions with different varying economic development levels and between boys and girls,with a significance level of α=0.05.Results:A total of 12 926 preschool children aged 5-6 years were sur-veyed.The myopia prevalence was 5.5％,and the overall prevalence of myopia and pre-myopia was 43.4％.Boys had higher rates of myopia and overall prevalence of myopia and pre-myopia than girls(5.7％vs.5.2％,46.4％vs.40.1％),though the difference in myopia prevalence was not statistical-ly significant.Stratified analysis by the province,there was no statistically significant differences in the prevalence of myopia between boys and girls in any province(P＞0.05),but in 8 provinces,the preva-lence of myopia in boys was slightly higher than in girls.The overall prevalence of myopia and pre-myopia in boys was higher than in girls across all the 10 provinces,with 5 provinces showing statistically signifi-cant differences(P＜0.05).The investigated areas were divided into two categories,relatively more-developed areas and relatively less-developed areas,based on per capita gross domestic product(GDP).In 6 provinces,there was no statistically significant difference in the prevalence of myopia between the two categories of areas.In 2 provinces,the prevalence was higher in relatively more-developed areas,and in 2 provinces,it was higher in relatively less-developed areas.In 4 provinces,there was no statisti-cally significant difference in the overall prevalence of myopia and pre-myopia between the two categories of areas with relatively more-developed and relatively less-developed areas.In 3 provinces,the preva-lence was higher in relatively more-developed areas,and in 3 provinces,it was higher in relatively less-developed areas.Conclusion:The prevalence of myopia and pre-myopia among preschool children aged 5-6 years is relatively high.Boys show higher overall prevalence of myopia and pre-myopia than girls,but there is no significant difference in the prevalence of myopia.There is no consistent association be-tween the level of economic development and the incidence of myopia and pre-myopia in each province.

Objective To evaluate the test-retest reliability of the ballistic push-up(BPU)test and establish predictive models for upper-limb strength and explosive power in young males.Methods A total of 71 male college students performed assessments of upper-limb bench press 1 repetition maximum(1RM)strength,bench press explosive power,and two BPU tests with a 48-hour interval.BPU test data were recorded using a three-dimensional(3D)force platform and motion capture system to calculate concentric metrics such as peak force(PF)and mean velocity(MV).The intraclass correlation coefficient(ICC)was used to examine the retest reliability of the BPU test.The Pearson correlation coefficient was used to evaluate the correlation of the BPU metrics with upper-limb strength and explosive power.Predictive models for upper-limb strength and explosive power were created using stepwise regression analysis.Results BPU metrics showed a good test-retest reliability(ICC=0.764-0.935).PF and MV,along with body weight(BW),were effective predictors of bench press 1RM in young males:bench press 1RM=0.129PF-16.772[R2=0.790,standard error of the estimate(SEE)=8.17 kg];bench press 1RM=1.511BW+87.15 MV-110.136(R2=0.767,SEE=8.60 kg).PF and BW were also predictors of bench press explosive power:bench press explosive power=2.755BW+0.287PF-17.351(R2=0.620,SEE=46.1 W).Conclusions The BPU test demonstrates a good test-retest reliability,and PF and MV from the BPU test can be used to predict upper-limb strength and explosive power in young males.

Objective:To explore the clinical phenotype and genetic characteristics of a child with hereditary Spastic paraplegia type 52 (SPG52) due to variant of AP4S1 gene. Methods:A child diagnosed with SPG52 at the Department of Pediatrics of the First Affiliated Hospital of Anhui Medical University in May 2010 was selected as the study subject. Whole-exome sequencing (WES) was carried out for the child and his parents. Candidate variants were confirmed by Sanger sequencing. Pathogenicity of the candidate variant was interpreted according to the guidelines from the American College of Medical Genetics and Genomics (ACMG). The study protocol was approved by the Ethics Committee of the Hospital (Ethics No.: PJ2024-04-56).Results:The child had presented with global developmental delay from infancy, and featured progressive lower limb spasticity, contractures, talipes equinovarus, and muscle weakness, but with no significant facial dysmorphism. His first febrile seizure occurred before one year of age, followed by several afebrile seizures. The seizures had remitted after 3 to 4 years of antiepileptic therapy, and electroencephalography was normal. However, he had severe intellectual disability, and MRI revealed reduced white matter. WES identified a homozygous AP4S1 c. 289C>T (p.Arg97*) variant in the child, for which both of his parents were heterozygous carriers. The variant was rated as pathogenic based on the ACMG guidelines. Literature review has identified 8 publications on SPG52, involving 18 patients from 12 pedigrees. Combined with our case, 14 had carried homozygous variants of the AP4S1 gene, 3 had compound heterozygous variants, and 2 had heterozygous variants, involving 12 distinct variant sites. The cohort included 7 males and 12 females. All patients exhibited progressive lower limb spasticity and weakness as the primary feature, with certain loss of independent ambulation. Most patients had intellectual disability, some had distinctive facial features, though febrile seizures or epilepsy were common. Electroencephalography often showed increased slow-wave activity. Brain MRI frequently demonstrated ventriculomegaly, a thin corpus callosum, and reduced white matter. Conclusion:The homozygous c. 289C>T (p.Arg97*) variant of the AP4S1 gene probably underlay the pathogenesis of SPG52 in this child. Above discovery has expanded the mutational spectrum of AP4S1 and provided valuable insights for the genetic diagnosis, counseling, and clinical management of SPG52.

Objective To evaluate the test-retest reliability of the ballistic push-up(BPU)test and establish predictive models for upper-limb strength and explosive power in young males.Methods A total of 71 male college students performed assessments of upper-limb bench press 1 repetition maximum(1RM)strength,bench press explosive power,and two BPU tests with a 48-hour interval.BPU test data were recorded using a three-dimensional(3D)force platform and motion capture system to calculate concentric metrics such as peak force(PF)and mean velocity(MV).The intraclass correlation coefficient(ICC)was used to examine the retest reliability of the BPU test.The Pearson correlation coefficient was used to evaluate the correlation of the BPU metrics with upper-limb strength and explosive power.Predictive models for upper-limb strength and explosive power were created using stepwise regression analysis.Results BPU metrics showed a good test-retest reliability(ICC=0.764-0.935).PF and MV,along with body weight(BW),were effective predictors of bench press 1RM in young males:bench press 1RM=0.129PF-16.772[R2=0.790,standard error of the estimate(SEE)=8.17 kg];bench press 1RM=1.511BW+87.15 MV-110.136(R2=0.767,SEE=8.60 kg).PF and BW were also predictors of bench press explosive power:bench press explosive power=2.755BW+0.287PF-17.351(R2=0.620,SEE=46.1 W).Conclusions The BPU test demonstrates a good test-retest reliability,and PF and MV from the BPU test can be used to predict upper-limb strength and explosive power in young males.

Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.

Thoracic anesthesia with spontaneous respiration represents a form of precision anesthesia meticulously customized to individual patients.Considering the more stringent requirements this anesthesia approach imposes on the regulation of respiratory function,the writing group of the"Consensus of Experts on the Management of Thoracic Anesthesia with Spontaneous Respiration"has formulated elaborate guidelines regarding indications and contraindications,preoperative evaluation,anesthesia implementation,common complications,and treatment strategies.This was accomplished by referencing relevant domestic and international literature and integrating it with actual clinical requirements.The objective is to standardize the rational application of this anesthesia method.

Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.

This study evaluates the safety and early clinical outcomes of a novel 3D-printed titanium alloy "sleeve" component for revising fractured femoral stem prostheses in distal femoral megaprostheses without removing the fractured stem. The six patients included 2 males and 4 females, with an age range of 8-57 years. They were treated at Peking University People's Hospital between August 2020 and December 2023 and underwent revision surgery using the customized sleeve. A self-designed 3D-printed titanium alloy "sleeve" component was used for revision without removing the fractured stem, in the form of an external sleeve around the stem. Postoperative imaging was performed every three months to assess implant stability and bone integration. Functional outcomes were evaluated using the Musculoskeletal Tumor Society (MSTS)-93 score. All six patients successfully completed the surgery and follow-up, with surgical durations ranging from 120 to 230 minutes and intraoperative blood loss ranging from 150 to 800 ml. The follow-up period ranged from 6 to 46 months. At three months postoperatively, X-ray and CT imaging showed cortical bridging between the host bone and the "sleeve" component. By six months, full integration of the host cortical bone with the metal trabecular interface of the "sleeve" was observed. At the final follow-up, MSTS-93 scores ranged from 26 to 29 points, with no complications such as wound healing issues, implant loosening, fracture, infection, or degenerative arthritis. These findings suggest that 3D-printed titanium "sleeve" provide an effective, bone-preserving solution for femoral stem revision in oncologic megaprostheses, leading to favorable early stability and functional recovery.

Post-stroke spasticity is a series of symptoms after stroke,such as hand and foot urgency,unflexion and extension of muscles,etc.In order to deeply understand the cognition of post-stroke spasticity of ancient Chinese physicians and comb out their therapeutic thoughts,this study took the General Catalogue of Chinese Ancient Books of Traditional Chinese Medicine as a bibliographic reference,all the ancient Chinese literature on spasms after stroke was retrieved manually and by computer,and then sorted and analyzed,and classified them by longitudinal time,and extracted the description about post-stroke spasticity,including medical classics,prescriptions,clinical evidence,medical records and so on.And this paper verified and summarized the etiology,pathogenesis,functional and indications and prescription characteristics of spasticity after stroke,in order to deeply understand systematic theories and treatment ideas of the ancient medical practitioners in the bud,development and mature stages of their understanding of spasticity after stroke,and provide the theoretical basis for the later doctors to understand this disease and the modern clinical treatment of traditional Chinese medicine.

Background/Aims: Liver cirrhosis involves chronic inflammation and progressive fibrosis.Among various immune cells, CD8+ T cells are considered a major contributor to hepatic inflammation and fibrosis. However, the exact molecular pathways governing CD8+ T-cell-mediated effects in cirrhosis remain unclear. Methods: This study analyzed transcriptomic and single-cell sequencing data to elucidate CD8+ T-cell heterogeneity and implications in cirrhosis. Results: Weighted gene co-expression analysis of bulk RNA-seq data revealed an association between cirrhosis severity and activated T-cell markers like HLA and chemokine genes. Furthermore, single-cell profiling uncovered eight CD8+ T-cell subtypes, notably, effector memory (Tem) and exhausted (Tex) T cells. Tex cells, defined by PDCD1, LAG3, and CXCL13 expression, were increased in cirrhosis, while Tem cells were decreased. Lineage tracing and differential analysis highlighted CXCL13+ Tex cells as a terminal, exhausted subtype of cells with roles in PD-1 signaling, glycolysis, and T-cell regulation. CXCL13+ Tex cells displayed T-cell exhaustion markers like PDCD1, HAVCR2, TIGIT, and TNFRSF9. Functional analysis implicated potential roles of these cells in immunosuppression. Finally, a CXCL13+ Tex-cell gene signature was found that correlated with cirrhosis severity and poorer prognosis of liver cancer. Conclusions In summary, this comprehensive study defines specialized CD8+ T-cell subpopulations in cirrhosis, with CXCL13+ Tex cells displaying an exhausted phenotype associated with immune dysregulation and advanced disease. Key genes and pathways regulating these cells present potential therapeutic targets.