Objective: To explore the prevalence of screening myopia and depressive symptom among primary and secondary school students in Xuzhou, and to explore the association of sleep and screen time on the coexistence of screening myopia and depressive symptom, so as to provide scientific references for developing intervention strategies to address the development of myopia and promote mental health in children and adolescents. Methods: From September to October 2024, a stratified cluster random sampling method was used to select 6 605 students in grade 4 to 12 in 2 urban and 2 suburban districts in Xuzhou. The students health condition and influencing factors questionnaire were used to assess students basic information, sleep time, and screen time. The Center for Epidemiological Studies Depression Scale (CES-D) was used to assess primary and secondary school students depressive symptom.Unaided distance visual acuity examination was conducted, and refractive assessment was performed using an automated refractometer without cycloplegic agents. The Chi-square test and multiple Logistic regression analysis were used to evaluate the association of sleep and screen time with the coexistence of screening myopia and depressive symptom. Results: The detection rates of screening myopia, depressive symptom, and screening myopia and depressive symptoms co morbidity among primary and secondary school students in Xuzhou were 60.35%, 4.45% and 18.61% respectively. Results from the multinomial Logistic regression analysis, using the healthy group as the reference and after adjusting for confounding factors, showed that students with insufficient sleep duration were more likely to have depressive symptom ( OR=1.57, 95%CI =1.08-2.27) and the coexistence of screening myopia and depressive symptom ( OR=1.85, 95%CI =1.45-2.36). Students with daily screen time≥2 h were more likely to have depressive symptom only ( OR=1.41, 95%CI =1.04-1.93) and the coexistence of screening myopia and depressive symptom ( OR=1.31, 95%CI =1.06-1.61). Further stratified analysis based on sufficient and insufficient sleep duration revealed that only in the insufficient sleep duration group, students with daily screen time≥2 h had an increased risk of depressive symptom only ( OR=1.49, 95%CI =1.07-2.07) and the coexistence of screening positive myopia and depressive symptom ( OR=1.40, 95%CI =1.11- 1.77 ) (all P <0.05). Conclusions Primary and secondary school students with insufficient sleep duration and daily screen time≥2 h have higher risks of depressive symptoms and the coexistence of screening myopia and depressive symptoms. It is recommended to ensure adequate sleep duration and limit screen time for children and adolescents.

Objective To quantitatively assess the influence of various factors on the pharmacokinetic parameters of propofol and to develop a propofol population pharmacokinetic model tailored for Chinese patients.Methods Thirty patients scheduled for selective abdominal surgeries received an anesthesia dose of propofol at 2.0 mg·kg-1.The concentration of propofol in collected venous blood samples was measured using liquid chromatography-tandem mass spectrometry.Polymorphisms in metabolizing enzyme genes were detected through Sanger sequencing technology.Pharmacokinetic parameters were computed,and models were constructed and evaluated using Phoenix Winnonlin software.Results Through software analysis,the drug's in vivo process was best described by a three-compartment model.The population mean values for the central compartment clearance rate(CL),shallow peripheral compartment clearance rate(Q2),deep peripheral compartment clearance rate(Q3),central compartment volume of distribution(V),shallow peripheral compartment volume of distribution(V2),and deep peripheral compartment volume of distribution(V3)were 1.71 L·min-1,1.31 L·min-1,1.51 L·min-1,5.92 L,19.86 L and 99.06 L,respectively.Body weight was identified as a significant covariate affecting CL and V,and was incorporated into the model.Conclusion The evaluation of the final model demonstrates its substantial predictive capability,offering directional guidance for the clinical administration of propofol.

Methamphetamine(METH)is highly addictive and neurotoxic,which causes cognitive and memory dysfunction in abusers.The harm of METH lies not only in its own toxicity,but also in the high physical and mental dependence of drug addicts,often causing mental disorders and violent behavior,bringing great safety risks to society.Non-coding RNA(ncRNA)does not encode proteins and is an important factor in regulating gene expression at the post-transcriptional level.Studies have shown that ncRNA plays an important regulatory role in methamphetamine-induced addiction and neurotoxicity,but the specific mechanism is unclear.This article reviews the current research progress of ncRNA in regulating METH-induced addiction and neurotoxicity to provide a reference for ncRNA as a forensic identification index and potential therapeutic target for METH abusers.

Objective:To investigate the rates of low disease activity and clinical remission in patients with systemic lupus erythematosus(SLE)in a real-world setting,and to analyze the related factors of low disease activity and clinical remission.Methods:One thousand patients with SLE were enrolled from 11 teaching hospitals.Demographic,clinical and laboratory data,as well as treatment regimes were collec-ted by self-completed questionnaire.The rates of low disease activity and remission were calculated based on the lupus low disease activity state(LLDAS)and definitions of remission in SLE(DORIS).Charac-teristics of patients with LLDAS and DORIS were analyzed.Multivariate Logistic regression analysis was used to evaluate the related factors of LLDAS and DORIS remission.Results:20.7％of patients met the criteria of LLDAS,while 10.4％of patients achieved remission defined by DORIS.Patients who met LLDAS or DORIS remission had significantly higher proportion of patients with high income and longer disease duration,compared with non-remission group.Moreover,the rates of anemia,creatinine eleva-tion,increased erythrocyte sedimentation rate(ESR)and hypoalbuminemia was significantly lower in the LLDAS or DORIS group than in the non-remission group.Patients who received hydroxychloroquine for more than 12 months or immunosuppressant therapy for no less than 6 months earned higher rates of LLDAS and DORIS remission.The results of Logistic regression analysis showed that increased ESR,positive anti-dsDNA antibodies,low level of complement(C3 and C4),proteinuria,low household in-come were negatively related with LLDAS and DORIS remission.However,hydroxychloroquine usage for longer than 12 months were positively related with LLDAS and DORIS remission.Conclusion:LLDAS and DORIS remission of SLE patients remain to be improved.Treatment-to-target strategy and standar-dized application of hydroxychloroquine and immunosuppressants in SLE are recommended.

Objective To investigate the predictive value of new simplified insulin resistance(IR)assessment indexes in identifying subclinical left ventricular systolic function impairment in patients with type 2 diabetes mellitus(T2DM).Methods A total of 150 T2DM patients with preserved left ventricular ejection fraction(LVEF≥50%)who were admitted to Department of Endocrinology of the First Affiliated Hospital of Air Force Medical University from June 2021 to December 2021 were retrospectively analyzed.All patients underwent two-dimensional speckle tracking echocardiography to measure left ventricular global longitudinal strain(GLS).According to GLS value,the subjects were divided into the normal group(GLS≥18%group,n=80)and the impaired group(GLS<18%group,n=70).Some new simplified IR assessment indicators were calculated and compared between the two groups,including body mass index(BMI),TG/HDL-C ratio,triglyceride-glucose(TyG)index,TyG-BMI index,TyG-WHR and metabolic score for IR(METS-IR).Correlation between the GLS and the new simplified IR assessment indexes was analyzed.The receiver operating characteristic(ROC)curve was used to analyze the diagnostic efficacy of different simplified IR assessment indexes,with the area under the curve(AUC)calculated.Furthermore,according to whether the subjects were complicated with hypertension,binary logistics regression analysis was performed to explore the independent correlation between the simplified IR assessment index and GLS<18%.Results Total 150 were included with aged(54.5±13.7)years with 96(64.0%)men and 54(36.0%)women.Compared with the GLS≥18%group,the TG/HDL-C ratio,TyG index,TyG-BMI,and METS-IR of subjects in the GLS<18%group were significantly increased(P<0.05).Pearson correlation analysis showed that TG/HDL-C ratio,TyG index,TyG-BMI,TyG-WHR,and METS-IR were negatively correlated with GLS(P<0.05).ROC analysis showed that TyG index had a certain predictive value for the evaluation of GLS<18%(AUC=0.678,95%CI 0.591-0.765,P<0.001).Stratification based on hypertension and further adjusting for confounding factors,TyG index remains significantly associated with GLS<18%(OR=3.249,95%CI 1.045-10.103,P=0.042).Conclusions The novel simplified insulin resistance evaluation indexes are closely associated with left ventricular subclinical systolic dysfunction in T2DM patients with preserved ejection fraction.TyG index is an effective index to identify left ventricular subclinical dysfunction in these populations.

From the perspective of state differentiation and treatment， it is believed that the pathogenesis of acute respiratory distress syndrome （ARDS） is that evil poisons injured the lungs， and the lung qi suddenly collapsed， then blocked and exhausted， and the qi failure to control blood and liquid， then the fluids overflow outside the vessels， and damp phlegm， stasis， and toxins became knotted up in the body， which ultimately leads to qi dysfunction， and a series of symptom arise， so qi impairment is the principal mechanism of ARDS. A combination of Chinese and Western medicine was proposed to treat ARDS by combining tangible qi and intangible qi， using Chinese herbal medicine to boost qi and relieve collapse， percolate and drain dampness with bland medicinals， resolve toxins and dissolve stasis， and regulate qi， and combining with Western medicine to assist qi circulation to improve qi's consolidation， propulsion， and transformation， so as to make the evil qi go away， the positive qi restored， the viscera qi circulated， qi， blood， yin， and yang connected， and the activities of life maintained， and thus to achieve the goal of treating ARDS by integrated Chinese medicine and Western medicine.

Aim To express and purify recombinant hCGH-CTP fusion protein in high-density suspension culture of Chinese hamster ovary cells (CHO-S), and to verify the lipid accumulation effect of rhCGH-CTP on 3T3-L1 mature adipocytes. Methods The recombinant protein expression vector (pcDNA3. 1-rhCGH-CTP) was constructed, achieved by fusing the human glycoprotein hormone beta 5/alpha 2 cDNA with CTP Linker. The expression plasmid was transiently transfected into the suspended CHO-S to express rhCGH-CTP protein and then purified, and the protein biological activity was verified. Intervention with 3T3-L1 mature adipocyte cells for 24 h was performed to detect the changes of intracellular triglyceride (TG) level. Results Western blot results showed that rhCGH-CTP protein was successfully expressed in CHO-S cells, and the yield was up to 715. 4 mg • L~ . The secreted protein was purified by AKTA pure system with higher purity that was up to 90% as identified by SDS-PAGE. In addition, the intracellular cAMP content of mature adipocytes with high expression of TSHR gene significantly increased after intervention with different concentrations of rhCGH-CTP protein by ELISA kit, indicating that rhCGH-CTP protein had biological activity. Oil red 0 staining showed that compared with the control group, the lipid content of mature adipocytes in the intervention groups with different concentrations of rhCGH-CTP protein significantly decreased (P < 0. 05) . Conclusions The rhCGH-CTP protein has been successfully expressed and purified with biological activity, and effectively reduce TG. This research provides an important theoretical basis for further revealing the physiological role of CGH protein and its potential application in clinical practice.

Objective Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is the leading cause of hospitalization and death in patients with chronic obstructive pulmonary disease (COPD). Exploring the prognostic factors of AECOPD patients will assist in optimizing treatment strategies and standardizing disease management. Methods This study retrospectively collected the clinical data of 664 patients with AECOPD admitted to the Respiratory Department of Dongzhimen Hospital of Beijing University of Chinese Medicine from January 2013 to September 2019. The 3-year survival rate and treatment of the patients were investigated. According to whether the patients died,they were divided into a non-survivors group and a survivors group,and clinical data such as basic information,comorbidities,and auxiliary examination results were compared between the two groups. Incorporating clinical experience of researchers and previous research evidence,a secondary screening of variables was conducted to ultimately determine the covariates to be included in the multifactorial Cox proportional hazards regression model,and the factors affecting the 3-year survival rate of the patients were analyzed. Results A total of 664 cases were included in this study,including 362 males and 302 females,with an average age of (77.25±6.89) years old. The 3-year all-cause mortality rate of older hospitalized patients with AECOPD was 20.48％(136 patients). Older age (HR:1.071,95％CI:1.040-1.102,P<0.001);smoking history (HR:1.788,95％CI:1.173-2.723,P=0.007);Charlson comorbidity index (HR:1.209,95％CI:1.029-1.421,P=0.022);lower arterial partial pressure of oxygen (HR:1.014,95％CI:1.006-1.022,P<0.001);higher brain natriuretic peptide(HR:1.001,95％CI:1.000-1.001,P=0.025);cor pulmonale(HR:1.896,95％CI:1.235-2.908,P=0.004);respiratory failure (HR:2.437,95％CI:1.378-4.311,P=0.003);TCM syndrome differentiation elements,including kidney (HR:1.639,95％CI:1.055-2.546,P=0.028) and fluid retention (HR:2.512,95％CI:1.653-3.816,P<0.001),were independent risk factors for 3-year all-cause death of older hospitalized patients with AECOPD. Long-term regular use of bronchiectasis (HR:0.474,95％CI:0.324-0.695,P<0.001) was an independent protective factor for 3-year all-cause death. Conclusion The 3-year survival rate of elderly hospitalized patients with AECOPD is relatively low,with the TCM syndrome elements manifested as lung-kidney qi deficiency,yang deficiency with water retention,and blood stasis obstruction. Patients with moderate to severe impairment of lung function due to COPD have an increased risk of death within 3 years. Therefore,for such patients,nourishing lung-kidney qi,resolving phlegm and water retention,activating blood circulation to remove blood stasis and dredging collaterals,combined with regular use of bronchodilators,may help improve their 3-year survival rate.

Objective To evaluate the efficacy and further analyze the application prospects of the combined multitarget fecal FIT-DNA assay in the early screening of colorectal cancer.Methods Subjects were selected from a population attending the Inner Mongolia Medical University Hospital.Each subject underwent a combined multi-target fecal FIT-DNA test(experimental group),a serum tumor marker test and enteroscopy(control group).The pathological results were used as the gold standard to evaluate the efficacy of novel fecal molecular testing techniques for colorectal cancer screening with timely intervention given to screen positive individuals.Results The data of 115 individuals were analyzed.Serum tumor markers test had a sensitivity of 63.2%(43/68)and a specificity of 74.5%(35/47).The enteroscopy had a sensitivity of 97.1%(66/68)and a specificity of 80.7%(38/47);the combined multitarget fecal FIT-DNA test had a sensitivity of 89.7%(61/68)and a specificity of 87.2%(41/47).Conclusion The sensitivity and specificity of multitarget fecal FIT-DNA combined detection are better than those of serum tumor marker detection.Although its sensitivity is lower than enteroscopy,its operation is simpler and can be tested at home.

Background::In vitro fertilization (IVF) has emerged as a transformative solution for infertility. However, achieving favorable live-birth outcomes remains challenging. Current clinical IVF practices in IVF involve the collection of heterogeneous embryo data through diverse methods, including static images and temporal videos. However, traditional embryo selection methods, primarily reliant on visual inspection of morphology, exhibit variability and are contingent on the experience of practitioners. Therefore, an automated system that can evaluate heterogeneous embryo data to predict the final outcomes of live births is highly desirable. Methods::We employed artificial intelligence (AI) for embryo morphological grading, blastocyst embryo selection, aneuploidy prediction, and final live-birth outcome prediction. We developed and validated the AI models using multitask learning for embryo morphological assessment, including pronucleus type on day 1 and the number of blastomeres, asymmetry, and fragmentation of blastomeres on day 3, using 19,201 embryo photographs from 8271 patients. A neural network was trained on embryo and clinical metadata to identify good-quality embryos for implantation on day 3 or day 5, and predict live-birth outcomes. Additionally, a 3D convolutional neural network was trained on 418 time-lapse videos of preimplantation genetic testing (PGT)-based ploidy outcomes for the prediction of aneuploidy and consequent live-birth outcomes.Results::These two approaches enabled us to automatically assess the implantation potential. By combining embryo and maternal metrics in an ensemble AI model, we evaluated live-birth outcomes in a prospective cohort that achieved higher accuracy than experienced embryologists (46.1% vs. 30.7% on day 3, 55.0% vs. 40.7% on day 5). Our results demonstrate the potential for AI-based selection of embryos based on characteristics beyond the observational abilities of human clinicians (area under the curve: 0.769, 95% confidence interval: 0.709–0.820). These findings could potentially provide a noninvasive, high-throughput, and low-cost screening tool to facilitate embryo selection and achieve better outcomes. Conclusions::Our study underscores the AI model’s ability to provide interpretable evidence for clinicians in assisted reproduction, highlighting its potential as a noninvasive, efficient, and cost-effective tool for improved embryo selection and enhanced IVF outcomes. The convergence of cutting-edge technology and reproductive medicine has opened new avenues for addressing infertility challenges and optimizing IVF success rates.