AIM:To investigate the visual development of children under 6 years old in Wuhan, and provide evidence-based support for the formulation and optimization of regional policies for children's eye health care.METHODS:Suresight refractive screener was applied to rapid refractive status examination in 4 989 preschool children under 6 years old in Wuhan City, with results determined according to the manufacturer's age-specific referral criteria. All screened pre-school children completed vision screening and comprehensive ophthalmic examination.RESULTS: A total of 4 989 children under 6 years old were screened out, including 2 641 males and 2 348 females. They were divided into 6 groups according to age: 426 aged from 6-month to 1-year-old, 903 aged >1 to 2 years old, 1 078 aged >2 to 3 years old, 442 aged >3 to 4 years old, 808 aged >4 to 5 years old, and 1 332 aged >5 to 6 years old. The abnormal rate in the 6-month to 1-year-old group was 44.60%, in the >1 to 2 years old group was 26.02%, in the >2 to 3 years old group was 15.58%, in the >3 to 4 years old group was 10.86%, in the >4 to 5 years old group was 21.91%, in the >5 to 6 years old group was 23.27%, and the total refractive abnormal rate for children aged 6 mo to 6 years old was 22.61%. The refractive abnormal rate generally showed a decreasing trend with increasing age(P<0.001); the refractive abnormal rate in boys aged 6-month to 6 years old was 12.33%, and in girls was 10.28%, with no statistically significant difference in the abnormal rate between boys and girls(P>0.05); among children aged 6-month to 6 years old, the abnormal rate of single-eye myopia was 0.98%, of single-eye hyperopia was 5.41%, of single-eye astigmatism was 9.92%, of binocular myopia was 0.98%, of binocular hyperopia was 2.79%, and of binocular astigmatism was 8.14%; the prevalence of astigmatism in children aged 6-month to 1-year-old was 40.38%, in those aged >1 to 2 years old was 19.82%, in those aged >2 to 3 years old was 12.34%, in those aged >3 to 4 years old was 9.05%, in those aged >4 to 5 years old was 18.81%, and in those aged >5 to 6 years old was 16.89%; the prevalence of astigmatism in children aged 6-month to 6 years old was 18.06%. The abnormal rate of astigmatism in the four age groups ranging from 6-month to 4 years old decreased continuously with age(P<0.001). There was no statistically significant difference in the abnormal rate of astigmatism between the >4 to 5 years old group and the >5 to 6 years old group(P>0.05).CONCLUSION:Refractive error has become a common eye disease among preschool children. Through early vision screening, establishing a systematic refractive management file, and early intervention, the best treatment period can be seized to avoid missing it and causing adverse consequences.

ObjectiveTo investigate the independent predictive factors for 90-day mortality in patients with acute-on-chronic liver failure （ACLF）， to establish a risk predictive model， and to assess its predictive efficacy in comparison with MELD， MELD-Na， MELD 3.0， and COSSH-ACLF Ⅱ. MethodsA retrospective analysis was performed for the clinical data of 394 patients with ACLF who were admitted to The Affiliated Hospital of Inner Mongolia Medical University and Hohhot Second Hospital from July 2018 to July 2024， and general information and laboratory markers on admission were collected from all patients. The independent-samples t test or the Mann-Whitney U test was used for comparison of quantitative data between two groups， and the chi-square test or the adjusted chi-square test was used for comparison of qualitative data between two groups. The LASSO regression analysis was used to identify related variables， and the multivariate logistic regression analysis was used to establish a predictive model and generate a nomogram. The receiver operating characteristic （ROC） curve， the area under the ROC curve （AUC）， calibration curve， and clinical decision curve were used to assess the performance of the model. ResultsA total of 394 patients with ACLF were included in this study， with 136 patients in the training set， 58 in the internal validation set， and 200 in the external validation set. The cohort had a mean age of 52.9±11.7 years， among whom male patients accounted for 72.84% （287/394）， the patients with HBV infection accounted for 22.33% （88/394）， the patients with alcohol-related causes accounted for 45.94% （181/394）， and the patients with other causes （including drug-induced and autoimmune diseases） accounted for 31.73% （125/394）. The overall 90-day mortality rate was 27.41% （108/394）. The multivariate logistic regression analysis showed that diabetes （odds ratio ［OR］= 5.831， 95% confidence interval ［CI］： 1.587 — 21.424， P=0.008）， cystatin C （Cys-C） （OR=2.984， 95%CI： 1.501 — 5.933， P=0.002）， and spontaneous peritonitis （SBP） （OR=5.692， 95%CI： 2.150 — 15.071， P<0.001） were independent risk factors， and a nomogram was generated based on these factors. This model had an AUC of 0.836 in the training set， 0.881 in the internal validation set， and 0.878 in the external validation set， showing a good discriminatory ability. The calibration curve showed a good degree of fitting， with a relatively high net clinical benefit. The subgroup analysis based on etiology showed that the model had an AUC of 0.850 in the patients with HBV infection， 0.858 in the patients with alcohol-induced ACLF， and 0.908 in the patients with other etiologies， indicating that the model had a good discriminatory ability across the populations with different etiologies. Compared with traditional scores， the model （AUC=0.836） had a significantly better predictive value than MELD （AUC=0.619， Z=3.197， P=0.001）， MELD-Na （AUC=0.651， Z=2.998， P=0.003）， MELD 3.0 （AUC=0.601， Z=3.682， P<0.001）， and COSSH-ACLF Ⅱ （AUC=0.719， Z=2.396， P=0.017） alone. ConclusionDiabetes， SBP， and Cys-C are independent risk factors for 90-day mortality in patients with ACLF. Compared with MELD， MELD-Na， MELD 3.0， and COSSH-ACLF Ⅱ scores， this model has a higher predictive value for 90-day prognosis in patients with ACLF and is suitable for patients with ACLF caused by various etiologies.

Objective To compare the radiation doses to adult patients from two types of computed tomography (CT) scanners at a hospital in Shanghai City, analyze the radiation dose to patients and impact factors, and provide data for reducing radiation dose in CT examinations. Methods Radiation parameters and radiation doses to adult patients from two types of CT scanners were investigated. Adult patients aged 15-<40 years and 40-70 years who underwent head, chest, abdomen, and lumbar spine CT examinations were randomly selected to collect their scanning data. Effective doses for different scanning regions and age groups were estimated using conversion formulas and compared. Results The CT scanning data of 160 adult patients from each type of CT scanners were collected. For scanner A, the 75th percentiles of volume CT dose index (CTDI_vol) of the head, chest, abdomen, and lumbar spine were 45, 4, 7, and 6 mGy; the 75th percentiles of dose-length product (DLP) were 726, 143, 373, and 179 mGy·cm; the 75th percentiles of effective dose were 1.5, 2.0, 5.6, and 2.7 mSv. For scanner B, the 75th percentiles of CTDI_vol of the head, chest, abdomen, and lumbar spine were 54, 6, 9, and 15 mGy; the 75th percentiles of DLP were 755, 215, 502, and 428 mGy·cm; the 75th percentiles of effective dose were 1.6, 3.0, 7.4, and 6.4 mSv. Conclusion The 75th percentiles of the CTDI_vol and DLP of all scanning regions were lower than the diagnostic reference levels for both types of scanners. Except for head DLP, scanner A demonstrated significantly lower CTDI_vol and DLP values than scanner B across all regions. The 75th percentiles of effective dose for head, chest, and abdomen examinations on both scanners did not exceed the corresponding values reported for patients in Hangzhou City.

Background Exposure to air pollutants increases the risk of diseases in multiple systems, including respiratory and cardiovascular systems, yet its association with neurological diseases remains unclear. Objective To quantitatively evaluate the association between short-term exposure to air pollutants and outpatient and emergency visits for neurological diseases, identify potential susceptible populations, and quantify associated disease burden. Methods Daily 24-hour average concentrations of fine particulate matter (PM_2.5), inhalable particulate matter (PM₁₀), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), and carbon monoxide (CO), daily maximum 8-hour average concentration of ozone (O₃), daily meteorological data (24-hour average temperature, 24-hour average relative humidity), and data on daily outpatient and emergency department visits for neurological diseases from two hospitals in Conghua District, Guangzhou, China, were collected from 2015 to 2022. A time-stratified case-crossover design was adopted, and a conditional Poisson regression model was constructed to analyze the association between air pollution exposure and neurological disease visits. Two-pollutant models and sensitivity analysis were used to validate model stability. Stratified analyses by season (cold season: from November to March; warm season: from April to October), sex (male, female), and age (≤45 years, 46–60 years, ≥61 years) were performed to identify vulnerable group. Additionally, the number and proportion of neurological disease visits attributable to short-term air pollutant exposure were calculated. Results A total of 72 673 outpatient and emergency department visits for neurological diseases were included during the study period. Most of the patients were middle-aged and elderly individuals (69.89% were over 45 years old) and females (60.25%). The results of single-pollutant models showed that for each interquartile range (IQR) increase in exposure to PM_2.5, PM₁₀, SO₂, NO₂, CO, and O₃, the risk of outpatient and emergency department visits for neurological diseases increased by 7.54% (95%CI: 4.69%, 10.46%), 6.66% (95%CI: 3.92%, 9.46%), 16.72% (95%CI: 10.58%, 23.19%), 8.12% (95%CI: 4.82%, 11.53%), 5.60% (95%CI: 2.34%, 8.97%), and 6.11% (95%CI: 2.91%, 9.40%), respectively. The results of the two-pollutant model showed that the association between PM_2.5 and SO₂ exposure and outpatient and emergency department visits for neurological diseases were relatively stable. The stratified analyses showed that the effect of SO₂ was stronger in the cold season. It was estimated that 8.32% (95%CI: 5.55%, 10.96%) and 6.65% (95%CI: 4.27%, 8.96%) of the outpatient and emergency department visits were attributable to short-term exposure to SO₂ and PM_2.5, respectively. Conclusion Exposure to PM_2.5 and SO₂ is associated with increased risks of outpatient and emergency visits for neurological diseases. SO₂ shows stronger effects during the cold season, and exposure to air pollution contributes to up to 8.32% of neurological disease visits.

Background With the rapid development of the food delivery industry, take-away deliverymen become an essential component of urban logistics. However, high labor intensity, unstable income, and extended working hours place them at considerable risk of occupational burnout. Available studies have paid insufficient attention to the mental health of this population, and effective predictive or preventive approaches remain limited. Objective To understand the status of occupational burnout among take-away deliverymen, identify influencing factors based on restricted cubic spline analysis, and develop a predictive model to provide a theoretical basis for improving their mental health. Methods A cross-sectional survey was conducted among full-time take-away deliverymen registered to the "Ele.me" and "Meituan" platforms in Hangzhou between September 1 and November 30, 2024, using both online and offline approaches. A questionnaire covered sociodemographic, household, and occupational information, and the Maslach Burnout Inventory–General Survey were used in this survey. Univariate analyses and logistic regression were used to identify factors associated with burnout and to construct a predictive model. Model performance was evaluated using receiver operating characteristic (ROC) curve and calibration curve. Furthermore, restricted cubic spline was used to further explore the relationship between age, working hours, and occupational burnout. Results Among the 1192 participants, 735 (61.66%) experienced occupational burnout. The logistic regression model indicated that older age (OR=1.021, P=0.010), educational attainment of college level or above compared to junior high school or below, (OR=2.837, P<0.001), and longer daily working hours (OR=1.081, P=0.001) were positively associated with occupational burnout. In contrast, work experience of 3−5 years (OR=0.666, P=0.016) and more than 5 years (OR=0.382, P<0.001) compared to those with <3 years, as well as providing three social insurances (OR=0.655, P=0.006) or five social insurances (OR=0.478, P<0.001) compared to those without any social insurances coverage, were negatively associated with occupational burnout. The predictive model based on these variables achieved an area under the curve (AUC) of 0.783 (95% CI: 0.756~0.809), and good agreement between calibration curves. The restricted cubic spline analysis revealed that the risk of occupational burnout was highest among delivery workers aged 33−46 years. Those with daily working hours between 3.5 and 8.1 h had a lower risk, while the risk significantly increased when working hours exceeded 8.1 h per day. Conclusion The prevalence of reporting occupational burnout among take-away deliverymen in Hangzhou is high. The developed predictive model provides valuable insights for the prevention and control of burnout in this population. Measures such as optimizing social security systems, rational work schedule allocation, and enhancing psychological support may help reduce occupational burnout among take-away deliverymen.

Objective To assess the application value of mycoplasma pneumonia(MP)real-time fluorescence of RNA simultaneous amplification and testing(SAT)and MP antibody(MP-Ab)in the diagnosis of MP pneumonia(MPP)in children.Methods A total of 242 children with community-acquired pneumonia hospitalized at Beijing Haidian Hospital from September 2023 to October 2024 were enrolled as subjects.The children were divided into MPP group(n=193)and non-MPP group(n=49)based on MPP diagnosis.All children underwent simultaneous MP-SAT testing and initial MP-Ab detection within 24h of admission.MP-SAT results were monitored until they turned negative,with retesting for MP-Ab on 5-7d post-hospitalization in negative cases.The study compared diagnostic accuracy between MP-SAT and MP-Ab methods,while analyzing correlations between MP-SAT negative conversion time and clinical cure duration.Results For children with disease duration ≤ 7 days,MP-SAT demonstrated higher sensitivity than MP-Ab,with statistically significant difference(P＜0.001).The concordance between MP-SAT and initial MP-Ab test results was weak(Kappa=0.072),while the consistency between MP-SAT and follow-up MP-Ab test results was moderate(Kappa=0.614,P＜0.00 1).Both the clinical cure time and SAT seroconversion time were shorter with doxycycline treatment compared to azithromycin therapy.Conclusion The results of MP-SAT can be used to evaluate the condition of MPP children and guide the timely discontinuation of antibiotics.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Objective:To understand the prevalence of chronic kidney disease (CKD) and influencing factors in adults with hypertension in China and provide evidence for the management of CKD in hypertension patients.Methods:The prevalence data of CKD in hypertension patients in China were collected from China Chronic Disease and Risk Factor Surveillance in 2018, the data of 68 829 hypertension patients were analyzed. After complex weighting, the prevalence of CKD in the study population was compared. A multivariate logistic regression model was used to explore the influencing factors of CKD in adults with hypertension.Results:The prevalence of CKD in the hypertension patients was 18.2% (95% CI: 17.4%-19.0%) and increased with age, and the prevalence was 16.4% in men and 20.6% in women ( P<0.001). In different age groups, CKD at stage G1 mainly occurred in those aged 18-44 and 45-59 years, with the prevalence of 10.8% and 7.8%, respectively, while CKD at stages G2 and G3a mainly occurred in those aged >60 years, with the prevalence of 9.4% and 9.7%. Multivariate logistic regression results showed that in the hypertension patients, being aged ≥60 years, being women, smoking (including current and ever smoking), physical inactivity, being underweight or obese, and suffering from diabetes, dyslipidemia and hyperuricemia were the potential risk factors for CKD (all P<0.05). Conclusion:The prevalence of CKD was higher in people with hypertension than in general population in China, and age, gender, smoking status, physical activity level, and suffering from diabetes, dyslipidemia, and hyperuricemia or not were significant influencing factors. It is necessary to strengthen health education and kidney function testing in adults with hypertension and develop comprehensive CKD prevention and control measures targeting high-risk population.

ObjectiveTo investigate the preventive effect and mechanism of Dendrobium officinale （DO） on non-alcoholic fatty liver disease （NAFLD） by network pharmacology and animal experiments. MethodsDO components in blood after administration were identified and analyzed using ultra-performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry （UPLC-QE-HF-MS/MS）. Network pharmacology and molecular docking methods were employed to obtain active ingredients and potential targets of DO for NAFLD control. High-fat feeds were used to replicate the NAFLD rat model. Biochemical kits were used for detecting the expression levels of blood lipids， hepatic lipids， and liver functions of rats. Hematoxylin-eosin （HE） staining and oil red O staining were employed to observe pathological changes in rat liver， and real-time fluorescence quantitative PCR （Real-time PCR） assay was performed to validate potential targets obtained from the network pharmacology analysis. ResultsA total of 13 DO components were identified in blood， including berberine， dihydrosanguinarine， and oxypeucedanin. A total of 14 potential targets were screened through network pharmacology， including Forkhead box protein O1 （FoxO1）， epidermal growth factor receptor （EGFR）， and insulin-like growth factor 1 （IGF-1R）， involving pathways such as the advanced glycation end product （AGE）/receptor for AGE （RAGE） signaling pathway， blood lipids and atherosclerosis， insulin resistance， and FoxO signaling. The results of animal experiments showed that the NAFLD rat model was successfully replicated. After the preventive treatment with DO for NAFLD rats， the indexes of blood lipids， hepatic lipids， and liver function were normalized； lipid deposition and lesions in the liver were significantly improved； the expression level of FoxO1 mRNA in the liver was significantly reduced （P<0.05）， and the mRNA expression levels of phosphatidylinositide 3-kinases （PI3K）， protein kinase B （Akt）， EGFR， and IGF-1R were significantly increased （P<0.05）. ConclusionDO has a preventive effect on NAFLD rats， and the mechanism of action may be related to the modulation of IGF1R and EGFR targets and activation of the PI3K/Akt/FoxO1 signaling pathway.

Objective To quantitatively assess the association of short-term exposure to polycyclic aromatic hydrocarbons (PAHs) in ambient fine particulate matter (PM2.5) with residents mortality. Methods A time-stratified case-crossover study was conducted from 2020 to 2022 among 10606 non-accidental residents by using the Guangzhou Cause of Death Surveillance System in Conghua District, Guangzhou. Exposure levels of PAHs in PM_2.5 and meteorological data during the study period were obtained from the Center for Disease Control and Prevention in Conghua District and the China Meteorological Administration Land Data Assimilation System (CLDAS-V2.0), respectively. Conditional Poisson regression model was used to estimate the exposure-response association between PAHs and the mortality risk. Results Fluoranthene, chrysene, benzo[k]fluoranthene, benzo[a]pyrene, and indeno[1,2,3-cd]pyrene were significantly associated with an increased risk of mortality. For every one interquartile range increase in exposure levels, the non-accidental mortality risks increased by 8.33% (95% CI: 1.80%, 15.27%), 4.67% (95% CI: 1.86%, 7.57%), 6.07% (95% CI: 2.08%, 10.21%), 4.62% (95% CI: 1.85%, 7.47%), and 4.70% (95% CI: 0.53%, 9.03%), respectively. The estimated non accidental deaths attributable to exposure to fluoranthene, chrysene, benzo[k]fluorine, benzo[a]pyrene and indine[1,2,3-cd]pyrene were 5.91%, 6.08%, 6.51%, 6.46%, and 4.21%, respectively. Conclusions Short-term exposure to PAHs in PM_2.5, including fluoranthene, chrysene, benzo[k]fluoranthene, benzo[a]pyrene and indine[1,2,3-cd]pyrene, was significantly associated with an increased risk of mortality among residents.