OBJECTIVE: To analyze the prevalence and burden of headache disorders in China and its provinces from 1990 to 2021. METHODS: Using data from the Global Burden of Disease Study (GBD) 2021, the number of prevalent cases, prevalence rate, disability-adjusted life years (DALYs), and age-standardized DALY rates were analyzed by sex, age group, and province for headache disorders and their subtypes (migraine and tension-type headache [TTH]) between 1990 and 2021. Percentage changes during this period were also estimated. RESULTS: In 2021, approximately 426 million individuals in China were affected by headache disorders, with an age-standardized prevalence rate of 27,582.61/100,000. The age-standardized DALY rate for all headache disorders was 487.15/100,000. Between 1990 and 2021, the number of prevalent cases increased by 37.78%, while the prevalence of all headache disorders, migraine, and TTH increased by 6.92%, 7.57%, and 7.86%, respectively. The highest prevalence was observed in the 30-34 age group (39,520.60/100,000). Migraine accounted for a larger proportion of DALYs attributable to headache disorders, whereas TTH has a greater impact on its prevalence. In 2021, the highest age-standardized DALY rates for headache disorders were observed in Heilongjiang (617.85/100,000) and Shanghai (542.86/100,000). CONCLUSION The prevalence of headache disorders is increasing in China. Effective health education, improve diagnosis and treatment are essential, particularly for middle-aged working populations and women of childbearing age.
Humans ; China/epidemiology* ; Female ; Male ; Adult ; Middle Aged ; Prevalence ; Young Adult ; Adolescent ; Aged ; Child ; Headache Disorders/epidemiology* ; Disability-Adjusted Life Years ; Child, Preschool ; Cost of Illness ; Infant ; Aged, 80 and over

To further investigate the molecular genetic characteristics of enzomatic nasal tumor vi-rus of goats(ENTV-2)in Yunnan Province,this study measured and analyzed the entire genome of ENTV-2 in Yunnan Province.The results showed that the complete genome sequence of the EN-TV-2 YN2023 strain(GenBank accession number:PP682590.1)was successfully obtained.The YN2023 strain has a total length of 7 307 bp and a typical structure of 5'-M5-gag-pro-pol-env-M3-3'.Whole genome sequence homology analysis showed that the nucleotide homology between YN2023 strain and 41 reference strains ranges from 85.3％to 95.5％.The whole genome evolution-ary tree indicates that the YN2023 strain is closely related to the prevalent strains in China,with certain genetic diversity and geographical clustering.The analysis of the gag gene evolutionary tree shows that the gag gene cluster of YN2023 strain is on a branch of the ENTV-2 gag gene,and YN2023 is clustered on the same small branch as enENTV-FJ1 and GDQY2017 strains,with the closest genetic relationship.The env gene evolutionary tree shows that YN2023 is on the same branch as GDQY2017,GDZJ2022,ENTV-2CHN1-6,ENTV-FJ1,and ENTV-FJ3,and is also on the same branch as GDQY2017,indicating a close genetic relationship.Recombination analysis showed that the YN2023 strain underwent a potential recombination event between breakpoint positions 6378-7478 bp,with the Chinese Chongqing strain enENTV-CQ1(OR669623.1)as the primary parent and the Chinese Sichuan strain BH(MT254062.1)as the secondary parent.This study enriches the genomic information of the ENTV-2 strain in Yunnan Province and provides data sup-port for the genetic variation of ENTV-2 in Yunnan Province.

Objective To investigate internal arsenic exposure levels and influencing factors in infants and young children from low-arsenic regions.Methods A total of 390 urine samples from 130 children aged 0-7 years in Wuhan(central China)and Shenzhen(southern China)were analyzed using high performance liquid chromatography-inductively coupled plasma mass spec-trometry.A linear mixed model was applied to assess factors influencing arsenic exposure levels,and risk evaluation was conduc-ted based on biomonitoring equivalents.Results The average urinary total arsenic level in children was 15.6 μg/L.The concen-trations of these species increased with age,except for arsenate(AsⅤ).Children in Shenzhen had higher level of arsenobetaine(AsB)than in Wuhan(P＜0.05).The urinary levels of monomethyl arsenic acid(MMA)and dimethyl arsenic acid(DMA)were significantly higher in winter than in autumn(P＜0.05).Total urinary arsenic levels in 72％of the children exceeded the bio-monitoring equivalent.Conclusion Arsenic exposure among children shows an increasing trend with age,and there are regional and seasonal differences.More than half of the children may suffer potential health risks of As exposure,highlighting the urgent need for improved monitoring and preventive measures.

Objective To investigate internal arsenic exposure levels and influencing factors in infants and young children from low-arsenic regions.Methods A total of 390 urine samples from 130 children aged 0-7 years in Wuhan(central China)and Shenzhen(southern China)were analyzed using high performance liquid chromatography-inductively coupled plasma mass spec-trometry.A linear mixed model was applied to assess factors influencing arsenic exposure levels,and risk evaluation was conduc-ted based on biomonitoring equivalents.Results The average urinary total arsenic level in children was 15.6 μg/L.The concen-trations of these species increased with age,except for arsenate(AsⅤ).Children in Shenzhen had higher level of arsenobetaine(AsB)than in Wuhan(P＜0.05).The urinary levels of monomethyl arsenic acid(MMA)and dimethyl arsenic acid(DMA)were significantly higher in winter than in autumn(P＜0.05).Total urinary arsenic levels in 72％of the children exceeded the bio-monitoring equivalent.Conclusion Arsenic exposure among children shows an increasing trend with age,and there are regional and seasonal differences.More than half of the children may suffer potential health risks of As exposure,highlighting the urgent need for improved monitoring and preventive measures.

To further investigate the molecular genetic characteristics of enzomatic nasal tumor vi-rus of goats(ENTV-2)in Yunnan Province,this study measured and analyzed the entire genome of ENTV-2 in Yunnan Province.The results showed that the complete genome sequence of the EN-TV-2 YN2023 strain(GenBank accession number:PP682590.1)was successfully obtained.The YN2023 strain has a total length of 7 307 bp and a typical structure of 5'-M5-gag-pro-pol-env-M3-3'.Whole genome sequence homology analysis showed that the nucleotide homology between YN2023 strain and 41 reference strains ranges from 85.3％to 95.5％.The whole genome evolution-ary tree indicates that the YN2023 strain is closely related to the prevalent strains in China,with certain genetic diversity and geographical clustering.The analysis of the gag gene evolutionary tree shows that the gag gene cluster of YN2023 strain is on a branch of the ENTV-2 gag gene,and YN2023 is clustered on the same small branch as enENTV-FJ1 and GDQY2017 strains,with the closest genetic relationship.The env gene evolutionary tree shows that YN2023 is on the same branch as GDQY2017,GDZJ2022,ENTV-2CHN1-6,ENTV-FJ1,and ENTV-FJ3,and is also on the same branch as GDQY2017,indicating a close genetic relationship.Recombination analysis showed that the YN2023 strain underwent a potential recombination event between breakpoint positions 6378-7478 bp,with the Chinese Chongqing strain enENTV-CQ1(OR669623.1)as the primary parent and the Chinese Sichuan strain BH(MT254062.1)as the secondary parent.This study enriches the genomic information of the ENTV-2 strain in Yunnan Province and provides data sup-port for the genetic variation of ENTV-2 in Yunnan Province.

Objective To evaluate the value of a machine learning-based biparametric magnetic resonance imaging(bpMRI)radiomics model in predicting clinically significant prostate cancer(csPCa)in the transitional zone.Methods A retrospective analysis was con-ducted on 507 cases in two medical centers.All patients underwent prostate MRI examinations before surgery,with complete patho-logical data.The case distribution was as follows:256 cases of csPCa,97 cases of clinically insignificant prostate cancer(ciPCa),and 154 cases of benign prostatic hyperplasia(BPH).Using the R language,the data from Center One was randomly divided into training and test groups at a ratio of 7∶3,and the data from Center Two as an independent external validation group.The image features from T2 WI and diffusion weighted imaging(DWI)were extracted,and the least absolute shrinkage and selection operator(LASSO)was used to reduce dimensionality and filter features.Two datasets were constructed based on T2 WI features alone and combined T2 WI and DWI features.Six prediction models were established using random forest(RF),logistic regression(LR),and support vector machine(SVM).The efficacy of six models of T2 WI features and combined T2 WI and DWI features in the diagnosis of prostate dis-eases through receiver operating characteristic(ROC)curve,area under the curve(AUC),and decision curve analysis(DCA)were compared and evaluated.Results In the training group,feature screening identified 7 and 8 features from the T2WI single sequence and the T2WI with DWI dual sequence for csPCa prediction in the transitional zone.The results showed that the T2WI with DWI dual sequence RF model had the highest AUC performance.The AUC of the training,test,and validation groups were 0.950,0.866,and 0.818,respectively.The test group accuracy was 0.805,sensitivity was 0.690,and specificity was 0.920;the validation group accu-racy was 0.726,sensitivity was 0.661,and specificity was 0.793.DCA showed that within a wide probability threshold range,the T2 WI with DWI dual sequence RF model had the greatest net benefit.Conclusion Based on the bpMRI radiomics model,non-invasive prediction of csPCa in the transitional zone can be achieved before surgery,which helps to make clinical diagnosis and treatment decisions.

OBJECTIVE: To develop a few-shot learning (FSL) approach for classifying optical coherence tomography (OCT) images in patients with inherited retinal disorders (IRDs). METHODS: In this study, an FSL model based on a student-teacher learning framework was designed to classify images. 2,317 images from 189 participants were included. Of these, 1,126 images revealed IRDs, 533 were normal samples, and 658 were control samples. RESULTS: The FSL model achieved a total accuracy of 0.974-0.983, total sensitivity of 0.934-0.957, total specificity of 0.984-0.990, and total F1 score of 0.935-0.957, which were superior to the total accuracy of the baseline model of 0.943-0.954, total sensitivity of 0.866-0.886, total specificity of 0.962-0.971, and total F1 score of 0.859-0.885. The performance of most subclassifications also exhibited advantages. Moreover, the FSL model had a higher area under curves (AUC) of the receiver operating characteristic (ROC) curves in most subclassifications. CONCLUSION This study demonstrates the effective use of the FSL model for the classification of OCT images from patients with IRDs, normal, and control participants with a smaller volume of data. The general principle and similar network architectures can also be applied to other retinal diseases with a low prevalence.
Humans ; Tomography, Optical Coherence ; Deep Learning ; Retinal Diseases/diagnostic imaging* ; Retina/diagnostic imaging* ; ROC Curve

Objective To analyze the individualized CTV-to-PTV margin dose and positioning errors in radiotherapy for esophageal cancer for improving the treatment accuracy while meeting dose requirements.Methods Fifty-four esophageal cancer patients admitted to Sun Yat-sen University Cancer Center at Huangpu District from June 2021 to June 2022 were enrolled.All of the patients underwent CBCT scans in each fraction,and a total of 1283 CBCT images were collected.The image registration between CBCT image before radiotherapy and planning CT image was carried out to obtain errors in vertical(VRT),longitudinal(LNG),lateral(LAT),Roll,Pitch,and YAW directions.The mean values of six-dimensional positioning errors in the first 5 fractions were calculated,and the results were compared with the total fractional errors using the single sample t-test method for determining the differences.The CTV-to-PTV margin was calculated with the formula(margin=2.5∑+0.7δ),and the calculated margins were divided into 5 groups:Group A(5 mm expansion in all directions),Group B(7.9 mm expansion in LAT direction,and 5 mm expansion in other directions),Group C(11.03 mm expansion in LNG direction,and 5 mm expansion in the other directions),Group D(6.36 mm expansion in VRT direction,and 5 mm expansion in the other directions),and Group E(7.9 mm expansion in LAT direction,11.03 mm expansion in LNG direction,and 6.36 mm expansion in VRT direction).Simulation planning was conducted for 10 patients.Results The proportions of differences between the mean values of six-dimensional errors in the first 5 fractions and the total fractional errors in 54 patients were analyzed.There was no significant difference in 192 out of the 324 directions in 54 patients,accounting for 59.26%(P>0.05).Among them,the LAT,LNG,VRT,Pitch,Roll and YAW directions accounted for 64.81%,57.41%,51.85%,64.81%,57.41%and 59.26%of the total cases.The calculated CTV-to-PTV margin was 7.90,11.03 and 6.36 mm in LAT,LNG and VRT directions.The statistical analysis showed that the differences in the coverage rates of organs-at-risk and target areas among the 5 groups of CTV-to-PTV margins were trivial(P>0.05).Conclusion Using the positioning errors in the first 5 fractions of radiotherapy for esophageal cancer to predict subsequent positioning errors is feasible.The reasonable individualized margin in radiotherapy for esophageal cancer can reduce the inter-fractional off-target rate without increasing the dose delivered to organs-at-risk.The study provides a reference for the target volume margin of esophageal cancer and an important basis for precision treatment.

ObjectiveTo evaluate the changes of the usage of oil， salt， sugar and nutritional knowledge and behavior intervention among diners before and after the establishment of healthy canteens and restaurants in Shanghai. MethodsA comprehensive intervention was conducted through the establishment of healthy canteens and restaurants， encompassing interventions such as oil， salt， and sugar management， improvement of nutritional environment， staffing and training activities， and nutrition labeling guidance. A pre-post self-controlled study design was used to compare changes in oil， salt and sugar usage， as well as diners’ knowledge and behaviors related to nutrition and nutrition labeling， before and after the intervention. ResultsAfter intervention， the total usage of oil， salt， and sugar per meal in the canteens and restaurants decreased by 18.33%， 14.83%， and 13.66%， respectively，and all had statistically significance differences（P<0.001）. The awareness rate of "cooking oil intake"， "salt intake"， and "added sugar intake" among diners increased from 24.07% to 38.04%， 58.52% to 71.28%， and 26.85% to 45.01%， respectively. The awareness rate of "daily food types" and "weekly food types" increased from 43.07% to 56.53% and 49.52% to 64.32%， with significant differences （P<0.001）. The rate of understanding the content of nutrition labels increased from 66.91% to 76.90%， the awareness rate of nutrition labels increased from 53.59% to 69.06%， the rate of active reading of nutrition labels among diners increased from 73.38% to 81.23%， and the rate of selecting and purchasing food based on the information of nutrition labels increased from 69.27% to 77.79%， all of which were statistically significant （P<0.001）. ConclusionThe comprehensive interventions carried out through the creation of healthy canteens and restaurants have significantly impact on usage of oil， salt， and sugar， as well as on the nutritional knowledge and behaviors of diners.

Aim To study the inhibitory effect of attenuated salmonella SGN1, overexpressing methioninase, on nasopharyngeal carcinoma (NPC) and the underlying mechanism. Methods The cell proliferation, cell cycle, cell apoptosis, clony formation and migration a-bility of 5-8F, HNE-2, CNE-2 cells were measured u-sing flow cytometry assay, clone formation assay, and wound assay after the methionine restriction treatment. 5-8F, HNE-2, CNE-2 cells were infected with SGN1 at the multiplicity of infection (MOI) of 1: 100 for 5 hours, followed with the measurement of cell growth. A xenograft model was constructed by subcutaneous injection of 5-8F cells in mice to observe the inhibitory effect of SGN1 on nasopharyngeal carcinoma. Results Compared with the control group, methionine restriction significantly inhibited the proliferation, migration ability, and clone formation of nasopharyngeal carcinoma cells and blocked the G