Objective: To quantitatively assess the health risk of preservatives from beverages around primary schools in Anshun City, and to provide scientific basis for precise food safety supervision. Methods: From December 2023 to July 2024, 602 beverage samples were randomly collected from within 100 meters of 19 primary schools in Anshun City. The content of benzoic acid, sorbic acid, and dehydroacetic acid was detected according to GB 5009 series standards. Combined with children s physiological parameters (body weight 30 kg, daily intake 0.15 L), the Hazard Quotient (HQ) and Hazard Index (HI) models were used to evaluate health risks. Results: The total detection rate of preservatives from beverages around primary schools was 63.0%, and the total over limit rate was 9.0%. The detection rate of preservatives in flavored beverages was the highest (72.6%), and the highest over limit rate of preservatives in special purpose beverages was the highest (17.2%). The single preservative HQ (benzoic acid up to 0.47 ) and mixed HI (up to 0.55) of all samples were below 1(safety threshold). However, the HQ value of benzoic acid in flavored beverages (0.47) was 2.9 times that of sorbic acid (0.16), contributing significantly to health risk. Sensitivity analysis showed that if the daily consumption increased to 0.3 L, the HI value of flavored beverages would rise to 1.11, exceeding the safety threshold. Enterprise scale analysis showed that the exceedance rate of special purpose beverages in large enterprises reached 30.0%, while micro enterprises, accounting for a dominant market share (52.2%), constituted the main source of children s daily exposure to their products. Conclusions The overall health risk of perservatives in beverages sold near primary schools in Anshun City is controllable, but there is a noticeable risk of gradient. The risk of children’s exposure to preservatives through beverage consumption should not be ignored.

AIM: To analyze the prevalence, severity, types, and correction of astigmatism in children, and provide scientific evidences for the prevention and treatment of refractive errors.METHODS: This cross-sectional study included 29 153 children aged 6-12 years from Xi'an and Lantian County, Shaanxi Province, China. Visual acuity and non-cycloplegic refraction were measured. Astigmatism was defined as an absolute cylindrical power ≥0.5 D in the right eye. Differences in astigmatism severity, type distribution, and refractive correction were analyzed across age, gender, and region.RESULTS:The prevalence of astigmatism increased with age, peaking at 11 years old(62.88%). Boys(57.10%)had a higher prevalence than girls(54.86%), and the municipal areas(58.29%)had a higher prevalence than county areas(51.75%). Mild astigmatism was the most common(63.82%), with moderate astigmatism increasing with age. The highest prevalence of high astigmatism was observed in 11-years-old children(9.68%). Compound myopic astigmatism(59.28%)and mixed astigmatism(25.16%)were the most frequent types. With increasing age, compound myopic astigmatism increased, while simple myopic, simple hyperopic, and compound hyperopic astigmatism decreased. Mixed astigmatism increased from ages 6 to 7, but declined from ages 7 to 12. For astigmatic axis types, with-the-rule astigmatism was the most prevalent(81.06%)and increased with age, peaking at 11 years(85.74%). Against-the-rule astigmatism showed a declining trend, while oblique astigmatism remained relatively stable. Distribution differences in astigmatism types and axes by gender and region were observed. Significant differences in astigmatism severity, types, and axis types across different ages, genders, and regions were observed(all P<0.05). The overall refractive correction rate for children with astigmatism was only 40.18%.CONCLUSION: The overall prevalence of astigmatism among children aged 6-12 years in Shaanxi Province was 56.02%, with higher prevalence observed in boys and in municipal areas. Age, gender, and region significantly influenced the prevalence of astigmatism. Notably, less than half of the children with astigmatism received refractive correction, highlighting the need for increased attention from parents and relevant authorities.

The pathogenesis of neurodegenerative diseases (NDDs) is fundamentally linked to complex and profound alterations in metabolic networks within the brain, which exhibit marked spatial heterogeneity. While conventional bulk metabolomics is powerful for detecting global metabolic shifts, it inherently lacks spatial resolution. This methodological limitation hampers the ability to interrogate critical metabolic dysregulation within discrete anatomical brain regions and specific cellular microenvironments, thereby constraining a deeper understanding of the core pathological mechanisms that initiate and drive NDDs. To address this critical gap, spatial metabolomics, with mass spectrometry imaging (MSI) at its core, has emerged as a transformative approach. It uniquely overcomes the limitations of bulk methods by enabling high-resolution, simultaneous detection and precise localization of hundreds to thousands of endogenous molecules—including primary metabolites, complex lipids, neurotransmitters, neuropeptides, and essential metal ions—directly in situ from tissue sections. This powerful capability offers an unprecedented spatial perspective for investigating the intricate and heterogeneous chemical landscape of NDD pathology, opening new avenues for discovery. Accordingly, this review provides a comprehensive overview of the field, beginning with a discussion of the technical features, optimal application scenarios, and current limitations of major MSI platforms. These include the widely adopted matrix-assisted laser desorption/ionization (MALDI)-MSI, the ultra-high-resolution technique of secondary ion mass spectrometry (SIMS)-MSI, and the ambient ionization method of desorption electrospray ionization (DESI)-MSI, along with other emerging technologies. We then highlight the pivotal applications of spatial metabolomics in NDD research, particularly its role in elucidating the profound chemical heterogeneity within distinct pathological microenvironments. These applications include mapping unique molecular signatures around amyloid β‑protein (Aβ) plaques, uncovering the metabolic consequences of neurofibrillary tangles composed of hyperphosphorylated tau protein, and characterizing the lipid and metabolite composition of Lewy bodies. Moreover, we examine how spatial metabolomics contributes to constructing detailed metabolic vulnerability maps across the brain, shedding light on the biochemical factors that render certain neuronal populations and anatomical regions selectively susceptible to degeneration while others remain resilient. Looking beyond current applications, we explore the immense potential of integrating spatial metabolomics with other advanced research methodologies. This includes its combination with three-dimensional brain organoid models to recapitulate disease-relevant metabolic processes, its linkage with multi-organ axis studies to investigate how systemic metabolic health influences neurodegeneration, and its convergence with single-cell and subcellular analyses to achieve unprecedented molecular resolution. In conclusion, this review not only summarizes the current state and critical role of spatial metabolomics in NDD research but also offers a forward-looking perspective on its transformative potential. We envision its continued impact in advancing our fundamental understanding of NDDs and accelerating translation into clinical practice—from the discovery of novel biomarkers for early diagnosis to the development of high-throughput drug screening platforms and the realization of precision medicine for individuals affected by these devastating disorders.

ObjectiveTo investigate and analyze an outbreak of rotavirus infectious diarrhea in a prison in Chongqing Municipality, to provide a basis for adult rotavirus surveillance and prevention, and to explore the public health problems in special settings. MethodsA retrospective survey was conducted to collect and analyze data on individual cases with diarrheal disease on-site. The clinical characteristics, as well as the temporal, spatial and geographical distribution patterns of the epidemic were described. Multi-pathogen detection tests were conducted both on diarrhea cases and environmental samples, with viral genotyping performed on positive samples. A case-control analysis was performed to identify the causes of the outbreak, and an SEIR model was adopted to predict the outbreak trend and evaluate the effectiveness of interventions. ResultsA total of 65 cases were found among the inmates, with an attack rate of 2.03%. The predominant clinical manifestations included diarrhea (89.23%), watery stool (73.85%), and dehydration (18.46%). The epidemic curve indicated a “human-to-human” transmission pattern, with an average incubation period of 5‒6 days. The attack rates among chefs in the main canteen (80.00%, 8/10) and caterers (28.33%, 17/60) were significantly higher than those of other inmates （P<0.05）. Multi-pathogen polymerase chain reaction (PCR) testing detected positive for group A rotavirus, with the viral genotyping identified as G9P [8] strain. Factors such as unprotected "bare-handed" food distribution among cases with diarrhea (OR=9.512, 95%CI: 4.261‒21.234) and close contact with diarrhea cases (OR=3.656, 95%CI: 1.719‒7.778) were the possible cause of the outbreak. The SEIR model (r₀=5, α=0.3, β₁=0.08, β₂=0.04) was constructed using prison inmates as susceptible population, aiming at fitting the initial transmission trend of the outbreak, and the epidemic rate declined rapidly after intervention measures were implemented (r_t≈0). ConclusionThis rare rotavirus infection diarrhea outbreak among adults in confined settings suggests that the construction of public health prevention and control systems in prison may be overlooked. Cross infection during meal processing and distribution in the canteens of such settings is likely to be the cause of the outbreak. Given the potential neglect of public heath system construction in special settings, it is imperative to enhance the surveillance and monitoring of rotavirus and other intestinal multi-pathogens among adults, as well as the construction of public health prevention and control systems in these special settings.

Objective To explore the risk factors for 28-day mortality of sepsis-associated acute kidney injury(SA-AKI)patients and to develop a nomogram risk prediction model.Methods A retrospective cohort study was conducted,involving 184 patients with SA-AKI admitted to the intensive care unit(ICU)of the 940th Hospital of Joint Logistic Support Force of PLA between January 2017 and December 2022.Patients were categorized into survival(n=135)and non-survival(n=49)groups based on 28-day mortality.Clinical data were collected,and statistically significant risk factors were preliminarily screened.Multivariate stepwise logistic regression analysis was performed to identify independent risk factors for 28-day mortality of SA-AKI patients.A nomogram predictive model was constructed using these factors,and internally validated with the Bootstrap method.The receiver operating characteristic curve(ROC curve)was drawn,and the area under the ROC curve(AUC)was calculated to verify the predictive value and accuracy of the model.Results The 28-day mortality rate among 184 SA-AKI patients was 26.6％(49/184).Multivariate stepwise logistic regression analysis identified multiple organ dysfunction syndrome(MODS)(OR=16.393,95％CI 4.317-62.254,P＜0.001),high acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score(OR=1.097,95％CI 1.036-1.161,P=0.002),low oxygenation index(OR=0.992,95％CI 0.986-0.998,P=0.015),low neutrophil count(OR=0.912,95％CI 0.860-0.968,P=0.002)and low fibrinogen concentration(OR=0.733,95％CI 0.549-0.978,P=0.034)as independent risk factors.The prediction model equation was P=1/1+e-logit(P),logit(P)=-1.626+2.797×MODS+0.092×AP ACHE Ⅱ+(-0.311)×fibrinogen+(-0.092)×neutrophil count+(-0.008)×oxygenation index.Internal validation with 1000 Bootstrap resamples showed high consistency between predicted and actual values.ROC analysis showed an AUC of 0.911(95％CI 0.868-0.955,P＜0.05)for the model,with 93.9％sensitivity and 78.5％specificity at a cut-off of 0.194.The Hosmer-Lemeshow test confirmed good calibration(P=0.62),and decision-making curve analysis demonstrated clinical utility within the high-risk threshold range(0.1-0.9).Conclusions MODS,high APACHE Ⅱ score,low oxygenation index,low neutrophil count,and low fibrinogen concentration are independent risk factors for 28-day mortality in SA-AKI patients.The developed nomogram risk prediction model may provide important guidance for predicting 28-day mortality in SA-AKI patients.

Objective:To compare the differences of three-dimensional computed tomography(3DCT),four-dimensional computed tomography(4DCT),and multi-parametric magnetic resonance(MR)sequences of the radiotherapy for liver cancer in delineation for target area,and analyze which MR sequence was more accurate in assisting CT image to delineate the target area,and design respectively reverse intensity modulated radiotherapy plan,and compare the dosimetric parameters of the target areas of receiving radiotherapy and normal liver tissue.Methods:This retrospective study was conducted to analyze radiotherapy data from case data of 18 patients with hepatocellular carcinoma(HCC)who admitted to the First Affiliated Hospital of Bengbu Medical University between August 2023 and June 2024.These data included 10 respiratory phases in 3DCT and 4DCT,and free-breathing sequence(MR-FB),diaphragm navigation sequence(MR-NAVI),and breath-hold(MR-BH)sequence of multi-parametric MRI,and the gross tumor volumes(GTVs)of them were delineated,which were respectively 5 modal images and liver contours included GTV3D,GTV4D,GTVMR-FB,GTVMR-NAVI,and GTVMR-BH.Pinnacle3 9.8 treatment plan system(TPS)was applied to conduct registration and fusion for image by using mutual information method.The 3DCT(GTV3D)was used as reference image to compare the volume of target area,and the displacement of mass center with other 4 kinds of images.The volume difference(VD),overlap ratio(OR),Dice similarity coefficient(DSC),and Jaccard index(JAC)were used to assess the differences among different target area.The indicators of plan evaluation included conformity index(CI),homogeneity index(HI),GTV doses(D2%,D98%,Dmean),and the exposure dose of normal tissue of liver.Results:In images of five modalities,the GTV median volumes were respectively 28.83,33.10,26.75,25.05,and 22.65 cm3.In images of five modalities,the median volume of liver were respectively 1293.46,1483.09,1213.81,1195.69,and 1141.02 cm3.Compared with other 3 target areas,the displacement of GTVMR-BH was the smallest on head-foot direction,with statistically significant differences among them(Z=-2.305,-2.307,-2.134,P<0.05).The OR,DSC,and JAC values of GTV4D were significantly better than these of GTVMR-FB,GTVMR-NAVI,and GTVMR-BH(ZOR=-2.911,-3.006,-3.195,ZDSC=-2.726,-2.215,-2.556,ZJAC=-2.556,-2.704,-2.953,P<0.05).The VD value of GTVMR-FB was better than that of GTV4D,GTVMR-NAVI,and GTVMR-BH,with statistically significant(Z=-2.675,-2.817,-2.580,P<0.05).Additionally,the OR,DSC,and JAC values of GTVMR-FB and GTVMR-NAVI were better than those of GTVMR-BH,with statistically significant(ZOR=-2.859,-2.817,ZDSC=-2.184,-2.783,ZJAC=-2.385,-2.783,P<0.05).All five plans met clinical dose requirements.Friedman test showed there was no statistically significant differences in dosimetric parameters of target area among different plans(P>0.05).However,compared to the PTV3D plan,the PTVMR-FB,PTVMR-NAVI,and PTVMR-BH plans resulted in lower levels in mean dose(Dmean)of liver and volume parameters(V5,V10,V20,V30)of various doses,with statistically significant differences(Dmean:Z=-2.433,-2.307,-2.807,ZV5=-2.512,-2.433,-2.652,ZV10=-2.433,-2.536,-2.968,ZV20=-2.536,-2.652,-2.807,ZV30=-2.611,-2.652,-2.968,P<0.05).Conclusion:In actually clinical application,MR-NAVI and 4DCT also can be adopted to assist 3DCT to delineate target area besides MR-FB sequence that is conventionally used in MR location,thus can enhance precision of delineation,and optimize radiotherapy plan,and decrease exposure dose of normal liver tissue.

Objective:To construct a platform for quality control and performance management of medical equipment based on edge computing architecture,and connect the existing information systems of hospital to achieve interconnection and interworking of bottom layer architecture of medical equipment.Methods:By deeply integrating 5 generation(5G)communication technique and Internet of Things(IoT)technique,and using edge computing architecture,a platform for quality control and performance management of medical equipment was constructed through collected the data of operational log from large-scale medical equipment.A total of 27 medical equipment in clinical use at the Affiliated Wuxi People's Hospital of Nanjing Medical University were selected in the study periods from July to December 2022(pre-implementation phase)and from July to December 2023(post-implementation phase).The accuracy rates of recorded data about equipment's operation were calculated as statistical method before and after the platform was applied.The response times for maintenance,the rates of opening equipment,and frequencies of repairing equipment for computed tomography(CT)equipment were compared between before and after the platform was applied.Results:The platform's primary functions for quality control and performance management of medical equipment mainly encompassed asset ledger,early warning for operation and maintenance,operational dynamics,allocation management,evaluation for usage efficiency,and evaluation for quality control for large-scale medical equipment of hospital.After the platform was applied,the accuracy of recorded data of 27 medical equipment was increased to 97%from 70-80%before the platform was applied.For CT equipment,the average response time and frequency of maintenance after the platform was applied were significantly lower than those before it was applied,while the average rate of opening equipment was significantly higher than that before it was applied,and the differences were significant(t=7.084,3.196,2.537,P<0.05).Conclusion:The platform for quality control and performance management of medical equipment based on edge computing architecture can provide safeguards for the operational quality and safety of large-scale medical equipment,and provide basis for fine using evaluation and rational configuration decisions,and reduce response times and frequency of maintaining equipment,and improve rate of opening equipment,and realize standardization,informatization,and scientificization of the management for large-scale medical equipment.

OBJECTIVE: To assess the cardioprotective effect and impact of Qishen Granules (QSG) on different ischemic areas of the myocardium in heart failure (HF) rats by evaluating its metabolic pattern, substrate utilization, and mechanistic modulation. METHODS: In vivo, echocardiography and histology were used to assess rat cardiac function; positron emission tomography was performed to assess the abundance of glucose metabolism in the ischemic border and remote areas of the heart; fatty acid metabolism and ATP production levels were assessed by hematologic and biochemical analyses. The above experiments evaluated the cardioprotective effect of QSG on left anterior descending ligation-induced HF in rats and the mode of energy metabolism modulation. In vitro, a hypoxia-induced H9C2 model was established, mitochondrial damage was evaluated by flow cytometry, and nuclear translocation of hypoxia-inducible factor-1 α (HIF-1 α) was observed by immunofluorescence to assess the mechanism of energy metabolism regulation by QSG in hypoxic and normoxia conditions. RESULTS: QSG regulated the pattern of glucose and fatty acid metabolism in the border and remote areas of the heart via the HIF-1 α pathway, and improved cardiac function in HF rats. Specifically, QSG promoted HIF-1 α expression and entry into the nucleus at high levels of hypoxia (P<0.05), thereby promoting increased compensatory glucose metabolism; while reducing nuclear accumulation of HIF-1 α at relatively low levels of hypoxia (P<0.05), promoting the increased lipid metabolism. CONCLUSIONS QSG regulates the protein stability of HIF-1 α, thereby coordinating energy supply balance between the ischemic border and remote areas of the myocardium. This alleviates the energy metabolism disorder caused by ischemic injury.
Animals ; Myocardial Infarction/physiopathology* ; Male ; Hypoxia-Inducible Factor 1, alpha Subunit/metabolism* ; Rats, Sprague-Dawley ; Glucose/metabolism* ; Drugs, Chinese Herbal/therapeutic use* ; Energy Metabolism/drug effects* ; Rats ; Fatty Acids/metabolism* ; Myocardium/pathology*

Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/genetics*

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.