BACKGROUND: The mechanisms distinguishing metabolically healthy from unhealthy phenotypes within the same BMI categories remain unclear. This study aimed to investigate the associations between regional fat distribution and metabolically unhealthy phenotypes in Chinese adults across different BMI categories. METHODS: This cross-sectional study involving 11833 Chinese adults aged 20 years and older. Covariance analysis, adjusted for age, compared the percentage of regional fat (trunk, leg, or arm fat divided by whole-body fat) between metabolically healthy and unhealthy participants. Trends in regional fat percentage with the number of metabolic abnormalities were assessed by the Jonckheere-Terpstra test. Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated by logistic regression models. All analyses were performed separately by sex. RESULTS: In non-obese individuals, metabolically unhealthy participants exhibited higher percent trunk fat and lower percent leg fat compared to healthy participants. Additionally, percent trunk fat increased and percent leg fat decreased with the number of metabolic abnormalities. After adjustment for demographic and lifestyle factors, as well as BMI, higher percent trunk fat was associated with increased odds of being metabolically unhealthy [highest vs. lowest quartile: ORs (95%CI) of 1.64 (1.35, 2.00) for men and 2.00 (1.63, 2.46) for women]. Conversely, compared with the lowest quartile, the ORs (95%CI) of metabolically unhealthy phenotype in the highest quartile for percent arm and leg fat were 0.64 (0.53, 0.78) and 0.60 (0.49, 0.74) for men, and 0.72 (0.56, 0.93) and 0.46 (0.36, 0.59) for women, respectively. Significant interactions between BMI and percentage of trunk and leg fat were observed in both sexes, with stronger associations found in individuals with normal weight and overweight. CONCLUSIONS Trunk fat is associated with a higher risk of metabolically unhealthy phenotype, while leg and arm fat are protective factors. Regional fat distribution assessments are crucial for identifying metabolically unhealthy phenotypes, particularly in non-obese individuals.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Adipose Tissue ; Body Fat Distribution ; Body Mass Index ; China/epidemiology* ; Cross-Sectional Studies ; Health Surveys ; Phenotype

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.

Epidermal growth factor receptor inhibitor (EGFRI) -related paronychia is a condition clearly related to EGFRI therapy, characterized by periungual erythema, edema, purulent exudates, periungual or subungual granulomatous lesions, and sometimes accompanied by thinning, fragility or even splitting and seperation of nail plates. Inhibition of epidermal function, inflammation and secondary infections, as well as angiogenesis are the core processes in the occurrence and development of EGFRI-related paronychia. This review summarizes epidemiology, pathogenesis, clinical manifestations, prevention and treatment of EGFRI-related paronychia.

Epidermal growth factor receptor inhibitor (EGFRI) -related paronychia is a condition clearly related to EGFRI therapy, characterized by periungual erythema, edema, purulent exudates, periungual or subungual granulomatous lesions, and sometimes accompanied by thinning, fragility or even splitting and seperation of nail plates. Inhibition of epidermal function, inflammation and secondary infections, as well as angiogenesis are the core processes in the occurrence and development of EGFRI-related paronychia. This review summarizes epidemiology, pathogenesis, clinical manifestations, prevention and treatment of EGFRI-related paronychia.

Objective: To formulate an evaluation scale on daily stressors with good reliability and validity for urban secondary school students, and to provide a tool for psychological stress assessment. Methods: Based on steps of instrument development, a pool of items regarding the daily stressors of junior/senior high school students was constructed by combining existing scales of adolescent life events or stressors, and a preliminary survey was conducted for items analysis and dimension evaluation among 393 middle and high school students in 2 districts of Shanghai. Then confirmatory factor analysis of the scale was conducted among 2 949 students collected by stratified cluster sampling from 11 districts in Shanghai. Results: The final 28 item daily stressors evaluation scale for urban secondary school students, with an overall Cronbach s alpha coefficient of 0.94, consists of 8, 7, 7, and 6 items for the four dimensions of academic stress, physical and psychological stress, interpersonal stress and family stress, respectively. The Guttman s split half reliability was 0.88, and the test retest reliability was 0.68. Total scores of the 28 items reflect general psychological stress level of participants, with higher scores representing higher stress intensity. The confirmatory factor analysis showed that the root mean squared error of approximation ( RMSEA ) and the standardized root mean square residual ( SRMR ) were both less than 0.08, while all fit indexes were above 0.8. Conclusion The Daily Stressors Evaluation Scale for Urban Secondary School Students, with good reliability, validity and model goodness of fit, can be applicable for urban secondary school students.

Objective:To explore the significance of four-dimensional CT angiography(4D CTA) and CT perfusion (CTP) imaging in evaluating collateral circulation grades in patients with moyamoya disease and moyamoya syndrome and their relationship with cerebral hemodynamics.Methods:The clinical and imaging data of 32 patients with moyamoya disease and moyamoya syndrome in Beijing Hospital from January 2017 to January 2022 were retrospectively analyzed. All patients underwent 4D CTA-CTP imaging. Collateral circulation was scored on CTA images by using Alberta stroke program early CT score system, and on digital subtraction angiography (DSA) images by using American society of interventional and therapeutic neuroradiology/Society of interventional radiology score system, respectively. The patients were divided into Ⅰ-Ⅲ circulation compensation grades based on collateral circulation score. Regions of interest were delineated at basal ganglia on perfusion maps and the perfusion parameters were obtained including cerebral blood volume (CBV), cerebral blood flow (CBF), mean transit time (MTT), mean transit time (TTP) and delay time (DLY). The Kruskal-Wallis test was used to compare the perfusion parameters in different collateral circulation grades, and pairwise comparison was performed with Bonferroni correction. Kappa and Spearman tests were used to analyze the consistency and correlation of 4D CTA and DSA in the classification of collateral circulation.Results:4D CTA and DSA had a moderate consistency (Kappa=0.693, P<0.001) and a strong correlation ( r=0.805, P<0.001) in evaluating collateral grades. There were statistically significant differences in CBF, MTT and TTP among collateral compensation grade Ⅰ, grade Ⅱ and grade Ⅲ ( H values were 7.91, 11.69, 8.93; P values were 0.019, 0.003 and 0.012, respectively). Further pairwise comparison showed that the CBF of collateral compensation grade Ⅰ was lower than that of grade Ⅲ ( P=0.015), MTT of grade Ⅱ was higher than that of grade Ⅲ ( P=0.005), and TTP of grade Ⅰ was higher than that of grade Ⅲ ( P=0.015). There was no statistical significance of other indicators in pairwise comparison. There were no significant differences in CBV and DLY among collateral compensation grade Ⅰ, grade Ⅱ and grade Ⅲ ( P>0.05). Conclusions:4D CTA-CTP is equivalent to DSA in evaluating collateral circulation in patients with moyamoya disease and moyamoya syndrome. It can also evaluate the cerebral hemodynamics comprehensively, which has high clinical significance for disease monitoring.

Objective: To develop the Daily Stressor Evaluation Questionnaire for Primary School Students and to evaluate the reliability and validity of the questionnaire. Methods: In November 2020, a convenience sampling method was used to conduct semi structured interviews with 10 primary school students in Jiading District, Shanghai. Through literature review, semi structured interviews, and expert consultation, 59 question items were developed, and 138 elementary school students in 2 districts in Shanghai were selected for a pre survey in March 2021, and the formal questionnaire was formed after item screening and parallel analysis. Stratified cluster sampling was used to survey a total of 1 618 fourth and fifth grade students enrolled in five elementary schools in Jiading District, Shanghai from April to May, 2021, to further test the reliability of the questionnaire. Results: The Daily Stressor Evaluation Questionnaire for Primary School Students contained 4 dimensions and 22 items in total. The internal consistency test showed that cronbach α coefficient of the questionnaire was 0.904 and Cronbach α coefficient of each dimension was between 0.689 to 0.803. The Guttman split half reliability was 0.885 and ranged from 0.582 to 0.732 for each dimension. The results of the validation factor analysis showed that the χ 2/df of the questionnaire was less than 4, the root mean square error of approximation was less than 0.08, and the Tueker Lewis index and comparative fit index were above 0.80. The critical value of using the ROC curve to evaluate the questionnaire was 31 points. At this point, the area under the curve was determined to be 0.783, while the sensitivity and specificity were found to be 71.43% and 73.39%, respectively. Additionally, the positive predictive value and negative predictive value were calculated to be 23.26% and 95.79%, respectively. Conclusion The Daily Stressor Evaluation Questionnaire for Primary School Students developed in this study has good reliability and validity and can be used as an assessment tool for evaluating stressors in primary school students.

OBJECTIVE: To explore clinical rules based on the big data of the emergency department of the Second Affiliated Hospital of Guangzhou Medical University, and to establish an integrated platform for clinical research in emergency, which was finally applied to clinical practice. METHODS: Based on the hospital information system (HIS), laboratory information system (LIS), emergency specialty system, picture archiving and communication systems (PACS) and electronic medical record system of the Second Affiliated Hospital of Guangzhou Medical University, the structural and unstructured information of patients in the emergency department from March 2019 to April 2022 was extracted. By means of extraction and fusion, normalization and desensitization quality control, the database was established. In addition, data were extracted from the database for adult patients with pre screening triage level III and below who underwent emergency visits from March 2019 to April 2022, such as demographic characteristics, vital signs during pre screening triage, diagnosis and treatment characteristics, diagnosis and grading, time indicators, and outcome indicators, independent risk factors for poor prognosis in patients were analyzed. RESULTS: (1) The data of 338 681 patients in the emergency department of the Second Affiliated Hospital of Guangzhou Medical University from March 2019 to April 2022 were extracted, including 15 modules, such as demographic information, triage information, visit information, green pass and rescue information, diagnosis information, medical record information, laboratory examination overview, laboratory information, examination information, microbiological information, medication information, treatment information, hospitalization information, chest pain management and stroke management. The database ensured data visualization and operability. (2) Total 140 868 patients with pre-examination and triage level III and below were recruited from the emergency department database. The gender, age, type of admission to the hospital, pulse, blood pressure, Glasgow coma scale (GCS) and other indicators of the patients were included. Taking emergency admission to operating room, emergency admission to intervention room, emergency admission to intensive care unit (ICU) or emergency death as poor prognosis, the poor prognosis prediction model for patients with pre-examination and triage level III and below was constructed. The receiver operator characteristic curve and forest map results showed that the model had good predictive efficiency and could be used in clinical practice to reduce the risk of insufficient emergency pre-examination and triage. CONCLUSIONS The establishment of high-quality clinical database based on big data in emergency department is conducive to mining the clinical value of big data, assisting clinical decision-making, and improving the quality of clinical diagnosis and treatment.
Adult ; Humans ; Big Data ; Emergency Service, Hospital ; Triage/methods* ; Intensive Care Units ; Hospitalization ; Retrospective Studies

The community-friendly program " Online mobile payment of medical insurance" , launched by Guangzhou Municipal Medical Insurance Bureau, poses new challenges to hospital medical insurance management and information intelligence. To this end, the Second Affiliated Hospital of Guangzhou Medical University staged from January 2017 to March 2019 kept upgrading its IT system and built an intelligent monitoring system for medical insurance. These efforts prepared adequately for the medical insurance mobile payment, and explored a mode of medical insurance management, evolving from extensive management to standard and fine management.

Objective To evaluate the risk factors and sonographic findings of pregnancies complicated by placenta increta or placenta percreta. Methods Totally, 2219 cases were retrospectively analyzed from 20 tertiary hospitals in China from January 2011 to December 2015. The data were collected based on the original case records. All cases were divided into two groups, the placenta increta (PI) group (79.1％, 1755/2219) and the placenta percreta (PP) group (20.9％, 464/2219), according to the degree of placental implantation. The risk factors and sonographic findings of placenta increta or percreta were analyzed by uni-factor and logistic regression statistic methods. Results The risk factors associated with the degree of placental implantation were age, gravida, previous abortion or miscarriage, previous cesarean sections, and placenta previa (all P<0.05), especially, previous cesarean sections (χ2=157.961) and placenta previa (χ2=91.759). Sonographic findings could be used to predict the degree of placental invasion especially the boundaries between placenta and uterine serosa, the boundary between placenta and myometrium, the disruption of the placental-uterine wall interface and loss of the normal retroplacental hypoechoic zone(all P<0.01). Conclusions Previous cesarean sections and placenta previa are the main independent risk factors associated with the degree of placenta implantation. Ultrasound could be used to make a prenatal suggestive diagnosis of placenta accreta spectrum disorders.