ObjectiveTo investigate the detection status of scoliosis and its influencing factors among primary and secondary school students in Jiangqiao Town in Jiading District of Shanghai, thereby providing evidence for the prevention and management of scoliosis in children and adolescents. MethodsA stratified cluster random sampling was conducted in March 2025. Three primary schools and two secondary schools in Jiangqiao Town were randomly selected; within each school, 3‒4 entire classes were randomly chosen. Screening was performed in accordance with the criteria specified in GB/T 16133‒2014 Screening for Abnormal Spinal Curvature in Children and Adolescents, and a self-designed structured questionnaire was administered to conduct face-to-face surveys (Cronbach’s α=0.730). ResultsA total of 772 valid questionnaires were collected on-site, representing a 100% response rate. The sample consisted of 413 males (53.50%) and 359 females (46.50%), including 385 primary school students (49.87%) and 387 secondary school students (50.13%). The detection rate of scoliosis in primary and secondary school students was 12.05%. The detection rates were 8.72% for males and 15.88% for females, with the female rate being significantly higher than the male rate (χ²=9.29, P=0.002). For primary and secondary school students, the detection rates were 6.75% and 17.31%, respectively, with the secondary school student rate being significantly higher (χ²=20.31, P<0.001). The results of univariate analysis revealed that students with sufficient sleep and standard sitting postures during reading/writing had a significantly lower scoliosis detection rate compared to those with insufficient sleep and non-standard sitting postures (χ²=5.90, P=0.015 and χ²=5.09, P=0.024). Multivariate logistic regression analyses revealed that the detection rate of scoliosis was significantly higher in females than in males (OR=1.846， 95%CI: 1.156‒2.984), and significantly higher in secondary school students than in primary school students (OR=2.722， 95%CI: 1.656‒4.472). ConclusionThe scoliosis detection rate among primary and secondary school students in Jiangqiao Town in Jiading District is relatively high. Females and secondary school students are key populations requiring targeted prevention and control efforts. It is imperative to strengthen health education on scoliosis, promote early screening and diagnosis, and implement timely targeted interventions.

Purpose: Adjuvant chemotherapy (AC) is recommended for muscle-invasive or lymph node-positive upper urinary tract urothelial carcinoma (UTUC) after radical nephroureterectomy (RNU). However, disease recurrences are frequently observed in pT1 disease, and AC may increase the risk of overtreatment in pT2 UTUC patients. This study aimed to validate a risk-adapted scoring model for selecting UTUC patients with ≤pT2 disease who would benefit from AC. Materials and Methods: We retrospectively analyzed 443 ≤pT2 UTUC patients who underwent RNU. A risk-adapted scoring model was applied, categorizing patients into low- or high-risk groups. Recurrence-free survival (RFS) and cancer-specific survival (CSS) were analyzed according to risk group. Results: Overall, 355 patients (80.1%) and 88 patients (19.9%) were categorized into the low- and high-risk groups, respectively, with the latter having higher pathological stages, concurrent carcinoma in situ, and synchronous bladder tumors. Disease recurrence occurred in 45 patients (10.2%), among whom 19 (5.4%) and 26 (29.5%) belonged to the low- and high-risk groups, respectively (p<0.001). High-risk patients had significantly shorter RFS (64.3% vs. 93.6% at 60 months; hazard ratio [HR] 13.66; p<0.001) and worse CSS (80.7% vs. 91.5% at 60 months; HR 4.25; p=0.002). Multivariate analysis confirmed that pT2 stage and the high-risk group were independent predictors of recurrence and cancer-specific death (p<0.001). Decision curve analysis for RFS showed larger net benefits with our model than with the T stage model. Conclusions The risk-adapted scoring model effectively predicts recurrence and identifies optimal candidates for AC post RNU in non-metastatic UTUC.

Objective To investigate the temporal predictive value of soluble triggering receptor expressed on myeloid cells-1(sTREM-1),procalcitonin(PCT),and myeloid-related protein 8/14(MRP8/14)for secondary acute respiratory distress syndrome(ARDS)in patients with severe pulmonary tuberculosis.Methods A retro-spective cohort study was conducted among patients with severe pulmonary tuberculosis admitted between January 2021 and December 2024.Patients were randomly assigned in an 8∶2 ratio to a training set(n=148)and a valida-tion set(n=37).Serum sTREM-1,PCT,and MRP8/14 were extracted from the electronic medical record at three time points:on admission(day 0),day 3,and day 7.Multivariable logistic regression was used to identify risk factors,and predictive performance was evaluated using receiver operating characteristic(ROC)curves.Results A total of 185 patients were included.In the training set(n=148),27 developed ARDS and 121 did not;in the validation set(n=37),7 developed ARDS and 30 did not.In the training set,serum sTREM-1,PCT,and MRP8/14 levels showed significant temporal changes(P<0.05).At admission,day 3,and day 7,levels of sTREM-1,PCT,and MRP8/14 were higher in the ARDS group than in the non-ARDS group(all P<0.05).At each time point,sTREM-1,PCT,and MRP8/14 were independently associated with the development of ARDS(P<0.05).In the training set,the combination of sTREM-1,PCT,and MRP8/14 at admission yielded the largest area under the ROC curve[AUC=0.976;95%confidence interval(CI),0.952～1.000],with a sensitivity of 88.9%and a specificity of 98.3%.In the validation set,the same combination achieved an AUC of 0.957(95%CI,0.895～1.000),with a sensitivity of 100.0%and a specificity of 86.7%.Conclusion Dynamic changes in sTREM-1,PCT,and MRP8/14 provide temporal predictive value for ARDS in patients with severe pulmonary tuberculosis,and the combined assessment improves early warning accuracy.

Objective:To explore the regional equity status and dynamic evolution patterns of primary healthcare resource allocation in China from 2009 to 2023.Methods:Based on statistical data of China's primary healthcare resources,the Dagum Gini coefficient decomposition method was used to analyze regional equity differences in primary healthcare resource allocation in China from 2009 to 2023,and Kernel density estimation was employed to investigate the spatial distribution and dynamic evolution process of resource allocation.Results:From 2009 to 2023,the total volume of primary healthcare resources in China continued to grow,with institutions,beds,and personnel increasing by 15.20%,65.53%,and 101.83%respectively,but significant regional disparities persist.Different types of resource allocation showed divergent equity trends:the Gini coefficient for personnel allocation decreased from 0.14 to 0.07,while the Gini coefficient for bed allocation increased from 0.15 to 0.22,and institutional allocation remained relatively stable.Kernel density estimation revealed that personnel allocation transformed from a bimodal distribution to a concentrated unimodal distribution,while bed allocation became more dispersed.Conclusion:China's primary healthcare resource allocation exhibits a divergent phenomenon with concurrent improvement in personnel allocation equity and deterioration in bed allocation equity.It is necessary to establish a differentiated allocation system with targeted policies,implement regional coordinated development strategies,improve monitoring and evaluation mechanisms,and strengthen technological support.

Objective To propose a preventive maintenance strategy of the heating,ventilation and air-conditioning(HVAC)system in pharmacy intravenous admixture services(PIVAS)based on the reliability centered maintenance(RCM)method so as to provide references for PIVAS equipment maintenance.Methods Firstly,a HVAC system RCM review team was formed,and the failure modes and impacts of important functional components of the equipment were analyzed to clarify the consequences of the failure of each functional component under the premise of ensuring the safety and integrity of the equipment and with the goal of minimizing the loss of maintenance downtime and the consumption of maintenance resources.Secondly,with a standardized logical decision-making procedure the preventive maintenance strategy was determined and implemented based on the consequences of functional failure.Finally,statistical analyses were carried out on such equipment indicators as performance parameter qualification rate,failure rate and maintenance cost before and after the RCM method-based strategy was executed,in order to evaluate the efficacy of the strategy.Results The RCM method-based preventive maintenance strategy had the performance qualification rate increased from 97.47%to 99.06%(χ2=24.139,P<0.01),the failure rate decreased from 0.24%to 0.03%(χ2=13.519,P<0.01)and the maintenance cost reduced by 11.5%,from RMB 134,200 to 118,700.Conclusion The RCM method-based preventive maintenance strategy provides reliable equipment for PIVAS and lowers the maintenance cost effectively,and references are given for the development of automated and intelligent equipment maintenance strategies for PIVAS.[Chinese Medical Equipment Journal,2025,46(10):78-83]

Objective:To construct a risk warning model for severe mycoplasma pneumoniae pneumonia(SMPP)children based on clinical data,laboratory indicators and imaging indicators.Methods:162 Mycoplasma pneumoniae pneumonia(MPP)children who were admitted in Foshan Women and Children Hospital from January 2021 to December 2023 were selected,64 SMPP children were included in severe group,the remaining 98 children were included in mild group.The general data,laboratory indicators and imaging indicators of the children were collected.The influencing factors for the occurrence of SMPP were analyzed by univariate and multivariate logistic regression models,and a risk warning model for the occurrence of SMPP children was constructed based on multivariate logistic regression model.The predictive value of the risk warning model for the occurrence of SMPP were analyzed by receiver operating characteristic(ROC)curve.Results:The proportion of 3 years old ≤ age＜6 years old,course of disease,body temperature,fever course,C-reactive protein(CRP),erythrocyte sedimentation rate(ESR),lactate dehydrogenase(LDH),cyanosis of lips,positive triconcave sign,pleural effusion,lesion site was the lower lobe,abnormal electrocardiogram and extrapulmonary manifestations in severe group were significantly higher than those in mild group(P＜0.05),there were no significant differences in gender,white blood cell count(WBC),neutrophil ratio and procalcitonin(PCT)between the two groups(P＞0.05).Multivariate logistic regression analysis model showed that,3 years old ≤age＜6 years old,high body temperature,long fever course,CRP elevated,ESR elevated,LDH elevated,cyanosis of lips,positive triconcave sign,pleural effusion,lesion site was the lower lobe,abnormal electrocardiogram and extrapulmonary manifestations were risk factors for the occurrence of SMPP(P＜0.05).ROC curve analysis showed that,the area under the curve(AUC)of the risk warning model was 0.829,the sensitivity was 84.82％,and the specificity was 78.15％,the actual prediction curve of the risk warning model was in good agreement with the prediction curve,the decision curve showed that,the threshold probability range of the model was 4.61％～88.14％.Conclusion:The risk warning model based on clinical multi parameters such as general data,laboratory indicators and imaging indicators has certain predictive value for the occurrence of SMPP.

Objective To assess the clinical feasibility of a self-developed augmented reality(AR)system in surgeries for cerebral arteriovenous malformation(AVM),dural arteriovenous fistula(DAVF),moyamoya,and internal carotid artery stenosis.This system integrates preoperative vascular imaging(CTA,MRA,DSA)with intraoperative real-time visualization through high-precision patient-image registration and virtual-real integration technology.Methods A retrospective analysis was conducted on 6 patients(1 cerebral AVM,1 DAVF,3 moyamoya and 1 internal carotid artery stenosis)collected between March 2023 and April 2024.AR with three-dimensional reconstruction was used for preoperative precise localization and intraoperative navigation guidance.Clinical feasibility was evaluated and analyzed using an intraoperative self-controlled method.Results All 6 patients with diverse etiologies successfully underwent preoperative precise localization and intraoperative navigation guidance under AR three-dimensional reconstruction modeling.This technology achieved visualization of intracranial arteriovenous structures and precise lesion locations,providing surgeons with a visual reference for accurate planning of the surgical approach and operative field.Conclusion The application of AR with three-dimensional reconstruction is safe and feasible in neurosurgical procedures for cerebrovascular diseases.It demonstrates satisfactory effectiveness in preoperative localization and intraoperative navigation guidance.

Objective:To determine the prevalence, risk factors, and longitudinal associations of loneliness during mid- to late pregnancy with anxiety and depressive symptoms in late pregnancy.Methods:In this prospective cohort study, 1 107 pregnant women at 24-28 weeks' gestation were enrolled between June 2021 and December 2022. Psychological status was assessed during mid-pregnancy (24-28 weeks) and late pregnancy (≥32 weeks) using standardized electronic questionnaires, including the Revised University of California Los Angeles Loneliness Scale (UCLA) Loneliness Scale-Short Form (Cronbach's α=0.82), Patient Health Questionnaire-9 ( α=0.86), and Generalized Anxiety Disorder-7 ( α=0.88). Multivariate logistic regression identified independent risk factors for loneliness. Cross-lagged path models analyzed the longitudinal predictions between loneliness and anxiety/depressive symptoms. Results:The prevalence of loneliness decreased significantly from 10.8% (120/1 107) in mid-pregnancy to 4.8% (37/777) in late pregnancy ( χ2=21.81, P<0.001). Multivariate analysis identified independent risk factors for loneliness: age <30 years ( OR=1.70, 95% CI: 1.15-2.50), annual household income <50 000 CNY ( OR=2.53, 95% CI: 1.28-5.02), unemployment during pregnancy ( OR=1.57, 95% CI: 1.03-2.39), history of alcohol consumption ( OR=1.63, 95% CI: 1.03-2.56), and the presence of mid-pregnancy depressive ( OR=2.76, 95% CI: 1.51-5.04) and anxiety symptoms ( OR=1.65, 95% CI: 1.01-2.71) (all P<0.05). Cross-lagged path models indicated bidirectional associations between loneliness and both anxiety ( β=0.32, P<0.01) and depressive symptoms ( β=0.28, P<0.01). However, the predictive effect of loneliness on subsequent depressive and anxiety symptoms ( β=0.28-0.32) was substantially stronger than the reverse prediction (mid-pregnancy anxiety on late-pregnancy loneliness: β=0.12; mid-pregnancy depression on late-pregnancy loneliness: β=0.11). Loneliness demonstrated high temporal stability (autoregressive effects β=0.29-0.32). Conclusion:Loneliness in mid-pregnancy exhibits a symmetric bidirectional association with anxiety and depressive symptoms in late pregnancy, suggesting it may be a core driver in the development of these emotional symptoms. Younger maternal age (<30 years), low household income (<50 000 CNY/year), unemployment during pregnancy, and a history of alcohol consumption were associated with a higher risk of loneliness and should be prioritized for psychological screening and intervention.

Objective:To explore the regional equity status and dynamic evolution patterns of primary healthcare resource allocation in China from 2009 to 2023.Methods:Based on statistical data of China's primary healthcare resources,the Dagum Gini coefficient decomposition method was used to analyze regional equity differences in primary healthcare resource allocation in China from 2009 to 2023,and Kernel density estimation was employed to investigate the spatial distribution and dynamic evolution process of resource allocation.Results:From 2009 to 2023,the total volume of primary healthcare resources in China continued to grow,with institutions,beds,and personnel increasing by 15.20%,65.53%,and 101.83%respectively,but significant regional disparities persist.Different types of resource allocation showed divergent equity trends:the Gini coefficient for personnel allocation decreased from 0.14 to 0.07,while the Gini coefficient for bed allocation increased from 0.15 to 0.22,and institutional allocation remained relatively stable.Kernel density estimation revealed that personnel allocation transformed from a bimodal distribution to a concentrated unimodal distribution,while bed allocation became more dispersed.Conclusion:China's primary healthcare resource allocation exhibits a divergent phenomenon with concurrent improvement in personnel allocation equity and deterioration in bed allocation equity.It is necessary to establish a differentiated allocation system with targeted policies,implement regional coordinated development strategies,improve monitoring and evaluation mechanisms,and strengthen technological support.

Objective To propose a preventive maintenance strategy of the heating,ventilation and air-conditioning(HVAC)system in pharmacy intravenous admixture services(PIVAS)based on the reliability centered maintenance(RCM)method so as to provide references for PIVAS equipment maintenance.Methods Firstly,a HVAC system RCM review team was formed,and the failure modes and impacts of important functional components of the equipment were analyzed to clarify the consequences of the failure of each functional component under the premise of ensuring the safety and integrity of the equipment and with the goal of minimizing the loss of maintenance downtime and the consumption of maintenance resources.Secondly,with a standardized logical decision-making procedure the preventive maintenance strategy was determined and implemented based on the consequences of functional failure.Finally,statistical analyses were carried out on such equipment indicators as performance parameter qualification rate,failure rate and maintenance cost before and after the RCM method-based strategy was executed,in order to evaluate the efficacy of the strategy.Results The RCM method-based preventive maintenance strategy had the performance qualification rate increased from 97.47%to 99.06%(χ2=24.139,P<0.01),the failure rate decreased from 0.24%to 0.03%(χ2=13.519,P<0.01)and the maintenance cost reduced by 11.5%,from RMB 134,200 to 118,700.Conclusion The RCM method-based preventive maintenance strategy provides reliable equipment for PIVAS and lowers the maintenance cost effectively,and references are given for the development of automated and intelligent equipment maintenance strategies for PIVAS.[Chinese Medical Equipment Journal,2025,46(10):78-83]