Objective: To investigate the availability and use of child safety seats among children aged 0-3 years, so as to provide the basis for improving riding safety for children. Methods: Parents of children aged 0-3 years in Huangpu District, Shanghai Municipality, were recruited using the stratified multistage random sampling method from May to July 2024. Demographic information, family travel patterns, the use of child safety seat and related health beliefs were collected using questionnaire surveys. Factors affecting the use of child safety seats were identified using a multivariable logistic regression model. Results: Totally 514 valid questionnaires were recovered, with an effective rate of 96.98%. The respondents included 122 fathers (23.74%) and 392 mothers (76.26%), with a median age of 34.00 (interquartile range, 5.00) years. There were 446 families equipping with child safety seats, accounting for 86.77%; and 169 families using child safety seats, accounting for 32.88%. Multivariable logistic regression analysis showed that the parents who had children aged >1-2 years (OR=0.597, 95%CI: 0.366-0.973), travelled 2-4 times per month (OR=0.359, 95%CI: 0.213-0.607) or once per month or less (OR=0.384, 95%CI: 0.202-0.729), and scored high in perceived barrier (OR=0.634, 95%CI: 0.486-0.827) were less likely to use child safety seats; the parents who had children with local household registration (OR=2.506, 95%CI: 1.356-4.633), travelled 5-<10 km (OR=1.887, 95%CI: 1.148-3.101) or ≥10 km (OR=2.319, 95%CI: 1.355-3.967), always wore seat belts (OR=2.342, 95%CI: 1.212-4.524), scored high in perceived susceptibility (OR=1.392, 95%CI: 1.091-1.778) and self-efficacy (OR=1.413, 95%CI: 1.156-1.727) were more likely to use child safety seats. Conclusions Equipping family cars with child safety seats and using them can prevent and reduce traffic injuries among children aged 0-3 years. It is recommended to strengthen publicity to promote the use of child safety seats.

Objective To explore the coupling mechanism between medical surge response resources and the spread of secondary risks during public health emergencies,as well as the effectiveness of relevant interventions.Methods Based on complex network theory,a dual-layer network model of medical resources and secondary events was constructed.The interactive feedback between medical resource status and secondary event risk,as well as the effects of network structure,were analyzed through MATLAB simulations,REPAST agent-based modeling,and mean-field analysis.Results Simulation and prediction results show that an increase in first-layer resource-deficient nodes significantly raises the activation rate and transmission speed of secondary events,while the clustering and spread of secondary events in the second layer,in turn,intensify resource depletion,creating a negative feedback loop.Mean-field analysis indicates a nonlinear positive correlation between the adequacy of medical resources and the likelihood of secondary events.Network structure analysis reveals that when the average node degree exceeds 8,resource allocation efficiency improves markedly.Conclusion There exists a dynamic coupling and bidirectional feedback relationship between medical resource status and secondary event risks.Enhancing the flexible allocation and responsiveness of medical resources,improving multi-sectoral collaborative monitoring and coordinated regulation,optimizing network connectivity and coordination mechanisms for resource distribution,and establishing dynamic monitoring and tiered early warning systems are key strategies for strengthening the resilience of healthcare systems and effectively containing the spread of secondary events.

Objective To empirically analyze multiple pathways for enhancing medical surge response capacity and provide useful references for improving the resilience of health systems.Methods A comprehensive theoretical analysis framework for improving medical surge response capacity was constructed based on the 4S theory and collaborative governance theory.68 interview texts on medical surge response capacity conducted in July 2024 were selected as analysis samples.Using fuzzy-set Qualitative Comparative Analysis(fsQCA),7 conditional variables were selected from four dimensions:management system,information system,materials,and personnel to analyze their impact on medical surge response capacity.Results(1)A single conditional variable does not constitute a necessary condition for improving medical surge response capacity;(2)After the combination of conditions,8 specific configuration paths for capacity improvement were identified.Through systematic and comprehensive refinement,they were summarized into three modes of comprehensive configuration capacity improvement paths,namely:rapid response and collaborative operation mode,information empowerment and precise response mode,and resource conditions and resilience construction mode.Conclusion It is necessary to explore and construct systematic,combined,modularized and path-oriented capacity building strategies,refine the operational implementation paths for improving China's medical surge response capacity,target the linkage and configuration modes of different conditional variables,promote the formulation and implementation of modular construction schemes oriented by key capacity,and make efforts from multiple aspects to enhance the resilience of the health system.

Objective To explore the coupling mechanism between medical surge response resources and the spread of secondary risks during public health emergencies,as well as the effectiveness of relevant interventions.Methods Based on complex network theory,a dual-layer network model of medical resources and secondary events was constructed.The interactive feedback between medical resource status and secondary event risk,as well as the effects of network structure,were analyzed through MATLAB simulations,REPAST agent-based modeling,and mean-field analysis.Results Simulation and prediction results show that an increase in first-layer resource-deficient nodes significantly raises the activation rate and transmission speed of secondary events,while the clustering and spread of secondary events in the second layer,in turn,intensify resource depletion,creating a negative feedback loop.Mean-field analysis indicates a nonlinear positive correlation between the adequacy of medical resources and the likelihood of secondary events.Network structure analysis reveals that when the average node degree exceeds 8,resource allocation efficiency improves markedly.Conclusion There exists a dynamic coupling and bidirectional feedback relationship between medical resource status and secondary event risks.Enhancing the flexible allocation and responsiveness of medical resources,improving multi-sectoral collaborative monitoring and coordinated regulation,optimizing network connectivity and coordination mechanisms for resource distribution,and establishing dynamic monitoring and tiered early warning systems are key strategies for strengthening the resilience of healthcare systems and effectively containing the spread of secondary events.

Objective To empirically analyze multiple pathways for enhancing medical surge response capacity and provide useful references for improving the resilience of health systems.Methods A comprehensive theoretical analysis framework for improving medical surge response capacity was constructed based on the 4S theory and collaborative governance theory.68 interview texts on medical surge response capacity conducted in July 2024 were selected as analysis samples.Using fuzzy-set Qualitative Comparative Analysis(fsQCA),7 conditional variables were selected from four dimensions:management system,information system,materials,and personnel to analyze their impact on medical surge response capacity.Results(1)A single conditional variable does not constitute a necessary condition for improving medical surge response capacity;(2)After the combination of conditions,8 specific configuration paths for capacity improvement were identified.Through systematic and comprehensive refinement,they were summarized into three modes of comprehensive configuration capacity improvement paths,namely:rapid response and collaborative operation mode,information empowerment and precise response mode,and resource conditions and resilience construction mode.Conclusion It is necessary to explore and construct systematic,combined,modularized and path-oriented capacity building strategies,refine the operational implementation paths for improving China's medical surge response capacity,target the linkage and configuration modes of different conditional variables,promote the formulation and implementation of modular construction schemes oriented by key capacity,and make efforts from multiple aspects to enhance the resilience of the health system.

ObjectiveTo establish a quantitative analysis multi-components by single marker method （QAMS） for five main components （aucubin， geniposidic acid， chlorogenic acid， asperuloside and rutin） in Eucommiae Folium， to verify its feasibility and applicability in the determination of Eucommiae Folium， so as to provide a scientific basis for the development of quality standard of this herb. MethodHigh performance liquid chromatography was performed on a Welch Boltmatetm™ C₁₈ column （4.6 mm×100 mm， 2.7 μm） with methanol （A）-0.2% phosphoric acid aqueous solution （B） as the mobile phase for gradient elution （0-8 min， 3%A； 8-10 min， 3%-11%A； 10-26 min， 11%A； 26-27 min， 11%-25%A； 27-60 min， 25%-32%A）， the column temperature was set at 30 ℃， the flow rate was 0.6 mL·min^-1， the detection wavelengths were at 210 nm and 254 nm. Chlorogenic acid was used as an internal reference to establish the relative correction factors （f） between it and the other four components， and the contents of the five components in 14 batches of Eucommiae Folium were determined by QAMS and external standard method （ESM）， respectively. ResultThe f values of chlorogenic acid to aucubin， geniposidic acid， asperuloside and rutin were 3.13， 1.45， 2.64 and 0.56， respectively. Repeatability was good under different experimental conditions， relative standard deviation （RSD） was <5.0%. The contents of aucubin， geniposidic acid， chlorogenic acid， asperuloside and rutin in 14 batches of Eucommiae Folium were 1.340-28.975， 0.252-36.086， 10.016-27.443， 1.396-8.646， 0.533-1.766 mg·g^-1， respectively. There were no significant difference between content results of QAMS and that of ESM （RSD<5.0%）. ConclusionQAMS established with chlorogenic acid as the internal reference can be used to determine the contents of five components in Eucommiae Folium， and this method is simple and accurate. After comprehensive evaluation， the quality standard of Eucommiae Folium in subsequent editions of Chinese Pharmacopoeia is suggested that three main active components， chlorogenic acid， aucubin and geniposidic acid， are selected as quality markers， and their content limits are recommended not less than 1.5%， 1.0% and 1.0%， respectively. This quality standard draft can avoid the potential quality risk due to poor specificity and low content limit of the index component （chlorogenic acid） in the previous editions of Chinese Pharmacopoeia.

ObjectiveTo prepare matrine lipid-based cubic liquid crystalline nanoparticle （MAT-LLCN） gels and investigate its in vitro release and transdermal absorption behavior. MethodTaking entrapment efficiency as the index， the optimal formulation of MAT-LLCN was screened by extreme vertex mixture method based on the optimal ratio of glycerol monooleate （GMO） to poloxamer 407 （P407）， and its drug loading was investigated. MAT-LLCN gels was prepared by mixing MAT-LLCN with pre-swelled carbomer 940 as the gel matrix. The structure of MAT-lipid-based cubic liquid crystalline （LLC） was characterized by polarized light microscopy （PLM） and small angle X-ray scattering （SAXS）. The in vitro release and transdermal absorption properties of MAT-LLCN gels and MAT ordinary gels were compared by modified Franz diffusion cell method， skin structure changes caused by them were observed by hematoxylin-eosin （HE） staining. ResultThe optimal formulation of MAT-LLCN gels was 5.5% of GMO-P407 （9∶1）， 1%-6% of MAT， 0.6% of carbomer 940， adding water to sufficient amount. The prepared MAT-LLC was confirmed as body-centered （Im3m） LLC. The in vitro release behavior of MAT-LLCN gels was in accordance with the Weibull equation （R²=0.954 0）， and the release mechanism was the Fick diffusion. In vitro transdermal test showed that all the parameters of MAT-LLCN gels were higher than those of MAT ordinary gels （P<0.05）， including cumulative release rate， steady-state release rate and the amount of drug retention in skin. HE staining results showed that MAT-LLCN gels could loose the cellular arrangement of skin stratum corneum， and maintain the stability of the cell structure of the dermis. ConclusionThe prepared MAT-LLCN gels can accelerate the transdermal drug transport and form drug storage in the dermis by rapidly opening the skin stratum corneum barrier， suggesting that LLC has good application prospects in the field of transdermal drug delivery.

Objective:To investigate the value of pulse oxygen saturation (SpO 2) monitoring in predicting children with moderate-to-severe obstructive sleep apnea (OSA). Methods:It was a retrospective study involving 341 children with snoring during nighttime sleep who had visited the Children′s Hospital of Soochow University from June 2017 to November 2020 and monitored for polysomnography (PSG) and SpO 2.The SpO 2 parameters mainly included oxygen desaturation index (ODI), oxygen desaturation index ≥3% (ODI3), oxygen desaturation index ≥4% (ODI4), mean pulse blood oxygen saturation (MSpO 2), lowest pulse blood oxygen saturation (LSpO 2), cumulative time spent with blood oxygen saturation below 95%, 92% and 90%(T95, T92 and T90). According to obstructive sleep apnea hypopnea index (OAHI), patients were divided into the snoring and mild OSA group (OAHI≤5 times/h) and moderate-to-severe OSA group (OAHI>5 times/h). Differences in SpO 2 parameters were compared between groups using the Chi- square test and Mann- Whitney U test. Spearman correlation analysis was used to analyze the correlation between SpO 2 parameters and OAHI in all children.The SpO 2 parameters were included in the Logistic regression model.Receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficiency of SpO 2 parameters on moderate-to-severe OSA. Results:A total of 341 patients were recruited, including 206 male and 135 female patients with the mean age, body mass index (BMI) and OAHI of 6.0 (4.0, 7.5) years, 16.2 (15.1, 18.0) kg/m 2 and 0.6 (0.1, 3.0) times /h, respectively.There were 283(83.0%) and 58 (17.0%) patients in the snoring and mild OSA group and moderate-to-severe OSA group.The ODI3[0.7 (0.3, 1.4) times/h vs.7.7 (4.4, 12.8) times/h], ODI4[0.4 (0.1, 0.8) times/h vs.5.3 (2.7, 9.1) times/h], T95[1.4 (0.3, 5.3) min vs.13.7 (7.0, 33.5) min], T92[0.1 (0, 0.5) min vs.1.8 (0.9, 6.0) min] and T90[0 (0, 0.1) min vs.0.6 (0.2, 2.2) min] were significantly lower in the snoring and mild OSA group than those of moderate-to-severe group, while LSpO 2[91.0 (89.0, 93.0)% vs.86.5 (82.0, 88.0)%] and MSpO 2[ 97.0 (97.0, 98.0)% vs.96.0 (96.0, 97.0)%] were significantly higher(all P<0.001). All SpO 2 parameters were significantly correlated with OAHI (all P<0.001), and the correlation coefficient between ODI3 and OAHI was 0.660.ODI3 was an independent predictor of moderate-to-severe OSA ( OR=3.117, 95% CI: 1.635-5.945, P=0.001). The area under the ROC curve of ODI3 in predicting the moderate-to-severe OSA was 0.957, and the cut-off value of 3.45 times/h and specificity of 95.4%.MSpO 2 was an independent predictor of moderate-to-severe OSA ( OR=2.917, 95% CI: 1.589-5.354, P=0.001). Conclusions:ODI3 can be used to predict the moderate-to-severe OSA in children.

Metabolomics is a study for comprehensive and systematic description of all small metabolites in biological samples. Metabolomics has obvious advantages in the diagnosis of diseases through the changes of internal and external environment of endogenous metabolites. Metabolomics provides the informative clue for diagnosing malignant tumor. In recent years, studies on thyroid cancer metabolomics have found that small molecular metabolites play a guiding role in diagnosis of the disease. In this paper, the application of metabolomics in diagnosis of thyroid carcinoma will be reviewed.

The volatile oil from traditional Chinese medicine has been widely used in medicine, food, agriculture and many other fields as its significant antibacterial effect on gram positive bacteria, gram negative bacteria, anaerobic bacteria and fungus.The clinical application is still not popular due to the poor stability.Cyclodextrin is used as the inclusion material to enhance the stability of volatile oil, make the preparation of production more convenient and the bioavailability improved.The literature referred to antibacterial volatile oil and the inclusion technology were summerized in order to provide reference to intensive study, optimize the technology of inclusion and develop more preparations.