1.Effect of Exercise on Blood Glucose Metabolism of Type 2 Diabetes Patients in East Asian Population: A Meta-Analysis
Yuxin SUN ; Bingtai HAN ; Xiaoyuan GUO ; Xueqing ZHENG ; Shi CHEN ; Hongbo YANG ; Hui PAN
Medical Journal of Peking Union Medical College Hospital 2025;16(2):492-505
To explore the effects of different exercise prescriptions on glycemic metabolism in East Asian patients with type 2 diabetes mellitus (T2DM) and to compare the differences in the impact of population characteristics and exercise components on glycemic metabolism. A systematic search was conducted in PubMed, Cochrane Library, EmBase, Web of Science, CNKI, and Wanfang Data Knowledge Service Platform to identify relevant studies published from database inception to June 15, 2024, on the effects of exercise on glycemic metabolism in East Asian patients with T2DM. The study type was limited to randomized controlled trials (RCTs), where the intervention group received exercise interventions and the control group did not. Two researchers independently screened the literature based on inclusion and exclusion criteria and extracted relevant data. Publication bias was assessed using Egger's test in Stata 17.0 and funnel plots in RevMan 5.3. Meta-analysis was performed using RevMan 5.3. A total of 21 RCTs involving 1289 participants (675 in the intervention group and 614 in the control group) were included. Publication bias assessment indicated overall good quality of the included studies. The random-effects model showed that exercise interventions significantly reduced fasting blood glucose (MD=-1.31 mg/L, 95% CI: -1.55 to -1.07, Exercise interventions can improve glycemic control and reduce insulin resistance in East Asian patients with T2DM. Aerobic exercise and combined exercise are more effective exercise prescriptions for glycemic management in this population.
2.Association Between Vitamin D Status and Insulin Resistance in Adolescents: A Cross-sectional Observational Study
Xiaoyuan GUO ; Yutong WANG ; Zhibo ZHOU ; Shi CHEN ; Mei ZHANG ; Bo BAN ; Ping LI ; Xinran ZHANG ; Qiuping ZHANG ; Kai YANG ; Hongbo YANG ; Hanze DU ; Hui PAN
Medical Journal of Peking Union Medical College Hospital 2025;16(3):577-583
To investigate the correlation between vitamin D nutritional status and insulin resistance in pubertal adolescents. This cross-sectional observational study employed convenience sampling to recruit 2021-grade(8th grade) students from Jining No.7 Middle School in Shandong Province on June 5, 2023. Data collection included questionnaires, physical examinations, and imaging assessments to obtain general information, secondary sexual characteristics development, and bone age. Venous blood samples were collected to measure fasting blood glucose(FBG), fasting insulin(FINS), homeostasis model assessment of insulin resistance(HOMA-IR), and 25-hydroxyvitamin D[25(OH)D] levels. Spearman correlation analysis and multivariate linear regression models were used to examine the associations between serum vitamin D levels and FBG, FINS, and HOMA-IR. The study included 168 pubertal adolescents[69 females(41.1%), 99 males(58.9%); mean age(13.27±0.46) years]. All participants had entered puberty based on sexual development assessment. Vitamin D deficiency was observed in 41 participants(24.4%), insufficiency in 109(64.9%), and sufficiency in 18(10.7%). The median HOMA-IR was 3.49(2.57, 5.14).Significant differences were found across vitamin D status groups for HOMA-IR [4.45(2.54, 6.62) Vitamin D deficiency/insufficiency is prevalent among pubertal adolescents, and serum vitamin D levels show a significant inverse association with insulin resistance. These findings suggest the potential importance of vitamin D status in metabolic health during puberty.
4.Application Status and Research Progress of Imaging Assessment of Skeletal Maturity in Adolescents and Children
Yuxin SUN ; Xiaoyuan GUO ; Xueqing ZHENG ; Shi CHEN ; Hongbo YANG ; Hui PAN
Medical Journal of Peking Union Medical College Hospital 2024;15(6):1456-1462
Skeletal maturity can reflect an individual's developmental status and predict their future growth potential, provide clinicians with valuable diagnostic information. In recent years, significant progress has been made in imaging techniques for assessing skeletal maturity. This article aims to review the application status and research progress of X-ray, MRI and ultrasound in assessing skeletal maturity in adolescents and children, with a view of providing clinical reference.
5.Analysis of risk factors for trauma-induced coagulopathy in elderly major trauma patients
Kang YANGBO ; Yang QI ; Ding HONGBO ; Hu YUFENG ; Shen JIASHENG ; Ruan FENG ; Chen BOJIN ; Feng YIPING ; Jin YUCHEN ; Xu SHANXIANG ; Jiang LIBING ; Wang GUIRONG ; Xu YONG'AN
World Journal of Emergency Medicine 2024;15(6):475-480
BACKGROUND:Trauma-induced coagulopathy(TIC)due to serious injuries significantly leads to increased mortality and morbidity among elderly patients.However,the risk factors of TIC are not well elucidated.This study aimed to explore the risk factors of TIC in elderly patients who have major trauma. METHODS:In this retrospective study,the risk factors for TIC in elderly trauma patients at a single trauma center were investigated between January 2015 and September 2020.The demographic information including gender,age,trauma parts,injury severity,use of blood products,use of vasopressors,need of emergency surgery,duration of mechanical ventilation,length of stay in the intensive care unit(ICU)and hospital,and clinical outcomes were extracted from electric medical records.Multivariate logistic regression analysis was performed to differentiate risk factors,and the performance of the model was evaluated using receiver operating characteristics(ROC)curves. RESULTS:Among the 371 elderly trauma patients,248(66.8%)were male,with the age of 72.5±6.8 years,median injury severity score(ISS)of 24(IQR:17-29),and Glasgow coma score(GCS)of 14(IQR:7-15).Of these patients,129(34.8%)were diagnosed with TIC,whereas 242(65.2%)were diagnosed with non-TIC.The severity scores such as ISS(25[20-34]vs.21[16-29],P<0.001)and shock index(SI),(0.90±0.66 vs.0.58±0.18,P<0.001)was significantly higher in the TIC group than in the non-TIC group.Serum calcium levels(1.97±0.19 mmol/L vs.2.15±0.16 mmol/L,P<0.001),fibrinogen levels(1.7±0.8 g/L vs.2.8±0.9 g/L,P<0.001),and base excess(BE,-4.9±4.6 mmol/L vs.-1.2±3.1 mmol/L,P<0.001)were significantly lower in the TIC group than in the non-TIC group.Multivariate logistic regression analysis revealed that ISS>16(OR:3.404,95%CI:1.471-7.880;P=0.004),SI>1(OR:5.641,95%CI:1.700-18.719;P=0.005),low BE(OR:0.868,95%CI:0.760-0.991;P=0.037),hypocalcemia(OR:0.060,95%CI:0.009-0.392;P=0.003),and hypofibrinogenemia(OR:0.266,95%CI:0.168-0.419;P<0.001)were independent risk factors for TIC in elderly trauma patients.The AUC of the prediction model included all these risk factors was 0.887(95%CI:0.851-0.923)with a sensitivity and specificity of 83.6%and 82.6%,respectively. CONCLUSION:Higher ISS(more than 16),higher SI(more than 1),acidosis,hypocalcemia,and hypofibrinogenemia emerged as independent risk factors for TIC in elderly trauma patients.
6.Effects of DNMT1 on high glucose-induced apoptosis and inflammatory cytokine release in podocytes via SOCS1
Cunjun HUANG ; Yun LIU ; Qiujuan OU ; Hongbo DAI ; Jiede HE ; Meng HUANG ; Hang LIANG ; Xiaotao CHEN
Immunological Journal 2024;40(3):265-271
This study was designed to explore the effect of DNA methyltransferase 1(DNMT1)on podocyte apoptosis and inflammatory cytokine release induced by high glucose(HG),and analyze the related molecular mechanisms.Podocyte MPC-5 cells were cultured in vitro and divided into control and HG groups.DNMT1 and SOCS1 were either silenced or overexpressed using small RNA interference technology and liposome transfection technology.The expression levels of DNMT1 and SOCS1 genes were measured using qRT-PCR.Apoptosis was assessed by flow cytometry,while ELISA was employed to determine the levels of inflammatory factors such as tumor necrosis factor-α(TNF-α),interleukin-6(IL-6),interleukin-1β(IL-1β),and monocyte chemoattractant protein-1(MCP-1).Western blot was used to detect the expression of DNMT1,SOCS1 proteins,and the proteins involved in the Janus kinase 2(JAK2)/signal transducer and activator of transcription 3(STAT3)signaling pathway.Data showed that HG elevated MPC-5 cell apoptosis rate,the level of inflammatory factors and DNMT1 mRNA expression,and the expression of DNMT1,p-JAK2 and p-STAT3 proteins,while reduced SOCS1 mRNA and protein expression(P<0.05).Both silencing DNMT1 and overexpressing SOCS1 resulted in reduce of MPC-5 cell apoptosis rate,inflammatory factors level,p-JAK2 and p-STAT3 proteins expression(P<0.05).Additionally,silencing DNMT1 increased SOCS1 mRNA and protein expressions(P<0.05).Conversely,silencing SOCS1 counteracted the effects of DNMT1 silencing on MPC-5 cell apoptosis,inflammation,p-JAK2 and p-STAT3 proteins expression.Therefore,silencing DNMT1 expression can reduce the apoptosis and inflammation of podocytes induced by HG,and its mechanism may be related to the inhibition of JAK2/STAT3 signaling pathway activation by upregulating SOCS1 expression.
7.Epidemiological characteristics of herpangina and its correlation with incidence of hand, foot and mouth disease in children aged 6 years and under in Yinzhou District of Ningbo, 2017-2022
Jingxian WANG ; Yueqi YIN ; Peng SHEN ; Yunpeng CHEN ; Hongbo LIN ; Yi WANG ; Yexiang SUN
Chinese Journal of Epidemiology 2024;45(5):714-720
Objective:To investigate the epidemiological characteristics of herpangina (HA) and its correlation with the incidence of hand, foot and mouth disease (HFMD) in children aged ≤6 years in Yinzhou District of Ningbo from 2017 to 2022.Methods:Epidemiological characteristics of HA in children aged ≤6 years were analyzed based on the electronic medical record data and public health management data from 2017 to 2022 collected from the Health Information Platform of Yinzhou. The incidence of HFMD was calculated using the infectious disease reporting data from the public health management data. Autoregressive integrated moving average model and cross-correlation function were used to evaluate the correlation between the incidence of HA and HFMD.Results:From 2017 to 2022, a total of 25 385 cases of HA were detected in children aged ≤6 years in Yinzhou, the male-to-female ratio of the cases was 1.12∶1. The average annual incidence of HA was 4 986.67/100 000, with the highest incidence in 2018 (10 477.09/100 000) and the lowest incidence in 2020 (870.88/100 000). The incidence peak of HA was during June to July. The incidence of HA was higher in age group 1 year (7 950.45/100 000) than in other age groups. The incidences of HA in Yunlong, Jiangshan and Xiaying were higher, with the incidence of 8 764.31/100 000, 8 377.58/100 000 and 7 965.31/100 000, respectively. The correlation coefficients between the incidence of HA and HFMD at lag day 0, 7, 12 and 18 were 0.199, 0.139, 0.090 and 0.086, respectively (all P<0.05). Conclusions:From 2017 to 2022, the incidence of HA was high in children aged ≤6 years in Yinzhou with obvious seasonality and area difference. The incidence of HA was correlated with the incidence of HFMD and the incidence of HFMD had certain lags. The comprehensive prevention and control of HA and HFMD should be further strengthened by prioritizing HA surveillance and implementing integrated surveillance and management of HA and HFMD.
8.Development of a prediction model for incidence of diabetic foot in patients with type 2 diabetes and its application based on a local health data platform
Yexian YU ; Meng ZHANG ; Xiaowei CHEN ; Lijia LIU ; Pei LI ; Houyu ZHAO ; Yexiang SUN ; Hongyu SUN ; Yumei SUN ; Xueyang LIU ; Hongbo LIN ; Peng SHEN ; Siyan ZHAN ; Feng SUN
Chinese Journal of Epidemiology 2024;45(7):997-1006
Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.
9.Exploratory study of starting age and interval of gastroscopy for different gastric mucosal lesions
Jiayi LI ; Peng SHEN ; Zhanghang ZHU ; Mengling TANG ; Liming SHUI ; Yexiang SUN ; Zhiqin JIANG ; Hongbo LIN ; Jianbing WANG ; Mingjuan JIN ; Kun CHEN
Chinese Journal of Epidemiology 2024;45(9):1244-1250
Objective:To understand the current status of gastroscopy in diagnosing gastric lesions in general population, and to recommend the optimal age for the first gastroscopy and intervals for repeated gastroscopy.Methods:The gastroscopy records of residents aged 18-80 years in Yinzhou District of Ningbo, Zhejiang Province, between April 2010 and December 2021 were analyzed retrospectively. The detections of gastric lesions across different years, age and genders were described. Goodness of fit tests were applied to compare the differences in detection rates of different lesions in first-time endoscopy in different age groups and different populations. Generalized additive models were used to fit the trend of age specific gastric lesion detection rate explore the optimal age for gastroscopy. The appropriate gastroscopy intervals were determined according to the progress of the gastric lesions detected in repeated gastroscopy.Results:A total of 237 751 participants with 344 398 gastroscopy records were included in analyses. A total of 5 597 cases of chronic atrophic gastritis (CAG), 9 796 cases of intestinal metaplasia (IM), 165 cases of low-grade intraepithelial neoplasia (LGIN), 52 cases of high-grade intraepithelial neoplasia (HGIN) and 435 cases of gastric cancer were detected by the first gastroscopy. The overall detection rate of gastric lesions increased significantly in age group 45-70 years, and remained stable after 70 years old, with LGIN and HGIN showing notable increases at 50 and 55 years old, respectively. Repeated gastroscopy detected CAG, IM, LGIN, and HGIN at a higher rate compared with the first gastroscopy. Normal/superficial gastritis progressed in 3-5 years, whereas CAG or more severe lesions progressed in 1-6 years.Conclusion:Gastroscopy is recommended for general population aged 45 years and above. Furthermore, gastroscopy can be performed every 3-5 years for individuals with normal endoscopy results and once a year for patients with CAG or more severe gastric lesions.
10.Development and application of a prediction model for incidence of diabetic retinopathy in newly diagnosed type 2 diabetic patients based on regional health data platform
Xiaowei CHEN ; Lijia LIU ; Yexian YU ; Meng ZHANG ; Pei LI ; Houyu ZHAO ; Yexiang SUN ; Hongyu SUN ; Yumei SUN ; Xueyang LIU ; Hongbo LIN ; Peng SHEN ; Siyan ZHAN ; Feng SUN
Chinese Journal of Epidemiology 2024;45(9):1283-1290
Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

Result Analysis
Print
Save
E-mail