1.Disease burden of acute viral hepatitis in Guangdong Province, 1990-2019
Jiamin QIU ; Fangfang ZENG ; Chen CHENG ; Huiyan WEN ; Shiqi HUANG ; Dan LIU ; Jinlei QI ; Peng YIN ; Maigeng ZHOU ; Ying XU ; Zhiping LIU ; Qingsong MEI ; Heng XIAO ; Zheng XIANG ; Xiaofeng LIANG
Chinese Journal of Epidemiology 2024;45(3):365-372
Objective:To examine the burden and trends of acute viral hepatitis in Guangdong Province from 1990 to 2019, and provide reference evidences for hepatitis prevention and control in the province.Methods:Data on acute viral hepatitis (hepatitis A, B, C, and E) in Guangdong from 1990 to 2019 were extracted from the Global Burden of Disease Study 2019 database. The incidence, prevalence, mortality, and disability-adjusted life years (DALY) data were analyzed by age and gender, and the estimated annual percentage change (EAPC) was calculated to describe the changing trends in disease burden.Results:From 1999 to 2019, the standardized incidence, prevalence, mortality, and DALY of acute viral hepatitis in Guangdong were higher than the national averages. In 2019, 51.43% (2 245 087/4 365 221) of acute viral hepatitis cases in Guangdong Province were mainly attributed to hepatitis B, and 77.18% (106/138) of deaths were due to acute hepatitis B. In different age groups, except for acute hepatitis B, which was more common in adults, the incidence rates of other types of viral hepatitis such as hepatitis A, B, and E showed an overall decreasing trend with age. The mortality rates of different types of acute viral hepatitis, except for the <5 age group, increased with age. The overall incidence and mortality rates of acute viral hepatitis were higher in men than in women.Conclusions:The overall burden of acute viral hepatitis in Guangdong declined in 2019, but remained higher than the national level. Further efforts are needed to strengthen hepatitis prevention and screening in different population in Guangdong Province, especially in children and the elderly.
2.A new furan α -butenolactones from Alisma orientale and their potential antifibrotic activities
Deng-hui ZHU ; Peng-li GUO ; Si-qi TAO ; Jing-ke ZHANG ; Meng-nan ZENG ; Xiao-ke ZHENG ; Wei-sheng FENG
Acta Pharmaceutica Sinica 2024;59(7):2058-2061
Four furan
3.Rigid-body inverse dynamics modelling and analysis of 6RSS parallel bio-inspired masticatory robot
Chen CHENG ; Xiao-Jing YUAN ; Neng-Jun YANG ; Gen-Liang HOU ; Fan-Qi ZENG ; You-Cai WANG ; Wei-Peng LUO ; Guan ZHAO
Chinese Medical Equipment Journal 2024;45(3):16-22
Objective To carry out rigid-body inverse dynamics modelling and analysis of a self-designed 6RSS parallel bio-inspired masticatory robot.Methods Firstly,the functions of kinematic variables including translational/rotational velocities and accelerations were derived for rigid-body inverse dynamics modelling.Secondly,the rigid-body inverse dynamics model was established with the Newton-Euler's law.Finally,the chewing motion trajectories of the oral health volunteers were tracked and numerical calculations were carried out in the case where the robot was subjected to a chewing reaction force.Results Numerical calculations showed that the driving torque and the constraint force of the robot peaked when the chewing reaction force was at its maximum.Conclusion The external force has a large impact on the inverse dynamics of the robot,and theoretical references are provided for the motion control and optimal design of the robot.[Chinese Medical Equipment Journal,2024,45(3):16-22]
4.Construction of AQHI based on joint effects of multi-pollutants in 5 provinces of China
Jinghua GAO ; Chunliang ZHOU ; Jianxiong HU ; Ruilin MENG ; Maigeng ZHOU ; Zhulin HOU ; Yize XIAO ; Min YU ; Biao HUANG ; Xiaojun XU ; Tao LIU ; Weiwei GONG ; Donghui JIN ; Mingfang QIN ; Peng YIN ; Yiqing XU ; Guanhao HE ; Xianbo WU ; Weilin ZENG ; Wenjun MA
Journal of Environmental and Occupational Medicine 2023;40(3):281-288
Background Air pollution is a major public health concern. Air Quality Health Index (AQHI) is a very important air quality risk communication tool. However, AQHI is usually constructed by single-pollutant model, which has obvious disadvantages. Objective To construct an AQHI based on the joint effects of multiple air pollutants (J-AQHI), and to provide a scientific tool for health risk warning and risk communication of air pollution. Methods Data on non-accidental deaths in Yunnan, Guangdong, Hunan, Zhejiang, and Jilin provinces from January 1, 2013 to December 31, 2018 were obtained from the corresponding provincial disease surveillance points systems (DSPS), including date of death, age, gender, and cause of death. Daily meteorological (temperature and relative humidity) and air pollution data (SO2, NO2, CO, PM2.5, PM10, and maximum 8 h O3 concentrations) at the same period were respectively derived from China Meteorological Data Sharing Service System and National Urban Air Quality Real-time Publishing Platform. Lasso regression was first applied to select air pollutants, then a time-stratified case-crossover design was applied. Each case was matched to 3 or 4 control days which were selected on the same days of the week in the same calendar month. Then a distributed lag nonlinear model (DLNM) was used to estimate the exposure-response relationship between selected air pollutants and mortality, which was used to construct the AQHI. Finally, AQHI was classified into four levels according to the air pollutant guidance limit values from World Health Organization Global Air Quality Guidelines (AQG 2021), and the excess risks (ERs) were calculated to compare the AQHI based on single-pollutant model and the J-AQHI based on multi-pollutant model. Results PM2.5, NO2, SO2, and O3 were selected by Lasso regression to establish DLNM model. The ERs for an interquartile range (IQR) increase and 95% confidence intervals (CI) for PM2.5, NO2, SO2 and O3 were 0.71% (0.34%–1.09%), 2.46% (1.78%–3.15%), 1.25% (0.9%–1.6%), and 0.27% (−0.11%–0.65%) respectively. The distribution of J-AQHI was right-skewed, and it was divided into four levels, with ranges of 0-1 for low risk, 2-3 for moderate risk, 4-5 for high health risk, and ≥6 for severe risk, and the corresponding proportions were 11.25%, 64.61%, 19.33%, and 4.81%, respectively. The ER (95%CI) of mortality risk increased by 3.61% (2.93–4.29) for each IQR increase of the multi-pollutant based J-AQHI , while it was 3.39% (2.68–4.11) for the single-pollutant based AQHI . Conclusion The J-AQHI generated by multi-pollutant model demonstrates the actual exposure health risk of air pollution in the population and provides new ideas for further improvement of AQHI calculation methods.
5.Risk factors related to coronary artery occlusion in female patients with ischemic angina pectoris.
Cheng Fei PENG ; Ya Song WANG ; Ya Ling HAN ; Xiao Zeng WANG
Chinese Journal of Cardiology 2023;51(2):158-163
Objective: To analyze the risk factors of coronary artery occlusion in female patients with ischemic angina pectoris. Methods: Clinical data of 1 600 patients (666 females and 934 males) who underwent coronary angiography from January 2013 to December 2015 due to angina pectoris in 6 major coronary intervention centers in China were retrospectively analyzed. The clinical characteristics were compared between the female and male groups, and between the non-obstructive coronary artery disease (INOCA) and ischemic obstructive coronary artery disease (IOCA) subgroups of female subjects with angina pectoris. The risk factors related to the degree of coronary artery occlusion in female patients were analyzed. Results: In the enrolled patients who underwent coronary angiography for angina pectoris, female group was older than the male group, and the proportion of patients with hypertension, diabetes and ischemia accompanied by IOCA was significantly higher than that of the male group (P<0.05). Univariate analysis showed that age≥65 years, hypertension, diabetes, and typical angina symptoms were associated with an increased risk of IOCA in female patients with angina pectoris. Multivariate regression analysis showed that age≥65 years old (OR=1.784, 95%CI: 1.146-2.776, P=0.010), hypertension (OR=1.782, 95%CI: 1.201-2.644, P=0.004) and typical angina symptoms (OR=1.642, 95%CI: 1.127-2.393, P=0.010) were independent risk factors for female patients with angina pectoris diagnosed as IOCA. The correlation analysis between the number of risk factors and the type of coronary artery disease obstruction showed that the incidence of INOCA decreased significantly with the increase of the number of risk factors, from 45.5% to 14.2%. The incidence of IOCA increased significantly with the number of risk factors, from 54.5% to 85.8% (P for trend<0.001). Conclusion: The incidence of INOCA in female patients with angina pectoris suspected of coronary heart disease is higher than that of male. The incidence of IOCA increased significantly, and the incidence of INOCA decreased significantly in proportion to the increase of the number of combined risk factors.
Humans
;
Male
;
Female
;
Aged
;
Coronary Artery Disease/complications*
;
Retrospective Studies
;
Angina Pectoris/epidemiology*
;
Risk Factors
;
Coronary Angiography
;
Hypertension/complications*
;
Coronary Occlusion/complications*
;
Ischemia/complications*
6.Quality of urodynamics: a national cross-sectional study in China.
Xiao ZENG ; Ziyuan XIA ; Liao PENG ; Jiapei WU ; Jiayi LI ; Jianhui YANG ; Juan CHEN ; Changqin JIANG ; Dewen ZHONG ; Yang SHEN ; Jumin NIU ; Xiao XIAO ; Li WEN ; Hong SHEN ; Deyi LUO
Chinese Medical Journal 2023;136(2):236-238
7.Analysis of risk factors of mortality in infants and toddlers with moderate to severe pediatric acute respiratory distress syndrome.
Bo Liang FANG ; Feng XU ; Guo Ping LU ; Xiao Xu REN ; Yu Cai ZHANG ; You Peng JIN ; Ying WANG ; Chun Feng LIU ; Yi Bing CHENG ; Qiao Zhi YANG ; Shu Fang XIAO ; Yi Yu YANG ; Xi Min HUO ; Zhi Xian LEI ; Hong Xing DANG ; Shuang LIU ; Zhi Yuan WU ; Ke Chun LI ; Su Yun QIAN ; Jian Sheng ZENG
Chinese Journal of Pediatrics 2023;61(3):216-221
Objective: To identify the risk factors in mortality of pediatric acute respiratory distress syndrome (PARDS) in pediatric intensive care unit (PICU). Methods: Second analysis of the data collected in the "efficacy of pulmonary surfactant (PS) in the treatment of children with moderate to severe PARDS" program. Retrospective case summary of the risk factors of mortality of children with moderate to severe PARDS who admitted in 14 participating tertiary PICU between December 2016 to December 2021. Differences in general condition, underlying diseases, oxygenation index, and mechanical ventilation were compared after the group was divided by survival at PICU discharge. When comparing between groups, the Mann-Whitney U test was used for measurement data, and the chi-square test was used for counting data. Receiver Operating Characteristic (ROC) curves were used to assess the accuracy of oxygen index (OI) in predicting mortality. Multivariate Logistic regression analysis was used to identify the risk factors for mortality. Results: Among 101 children with moderate to severe PARDS, 63 (62.4%) were males, 38 (37.6%) were females, aged (12±8) months. There were 23 cases in the non-survival group and 78 cases in the survival group. The combined rates of underlying diseases (52.2% (12/23) vs. 29.5% (23/78), χ2=4.04, P=0.045) and immune deficiency (30.4% (7/23) vs. 11.5% (9/78), χ2=4.76, P=0.029) in non-survival patients were significantly higher than those in survival patients, while the use of pulmonary surfactant (PS) was significantly lower (8.7% (2/23) vs. 41.0% (32/78), χ2=8.31, P=0.004). No significant differences existed in age, sex, pediatric critical illness score, etiology of PARDS, mechanical ventilation mode and fluid balance within 72 h (all P>0.05). OI on the first day (11.9(8.3, 17.1) vs.15.5(11.7, 23.0)), the second day (10.1(7.6, 16.6) vs.14.8(9.3, 26.2)) and the third day (9.2(6.6, 16.6) vs. 16.7(11.2, 31.4)) after PARDS identified were all higher in non-survival group compared to survival group (Z=-2.70, -2.52, -3.79 respectively, all P<0.05), and the improvement of OI in non-survival group was worse (0.03(-0.32, 0.31) vs. 0.32(-0.02, 0.56), Z=-2.49, P=0.013). ROC curve analysis showed that the OI on the thind day was more appropriate in predicting in-hospital mortality (area under the curve= 0.76, standard error 0.05,95%CI 0.65-0.87,P<0.001). When OI was set at 11.1, the sensitivity was 78.3% (95%CI 58.1%-90.3%), and the specificity was 60.3% (95%CI 49.2%-70.4%). Multivariate Logistic regression analysis showed that after adjusting for age, sex, pediatric critical illness score and fluid load within 72 h, no use of PS (OR=11.26, 95%CI 2.19-57.95, P=0.004), OI value on the third day (OR=7.93, 95%CI 1.51-41.69, P=0.014), and companied with immunodeficiency (OR=4.72, 95%CI 1.17-19.02, P=0.029) were independent risk factors for mortality in children with PARDS. Conclusions: The mortality of patients with moderate to severe PARDS is high, and immunodeficiency, no use of PS and OI on the third day after PARDS identified are the independent risk factors related to mortality. The OI on the third day after PARDS identified could be used to predict mortality.
Female
;
Male
;
Humans
;
Child, Preschool
;
Infant
;
Child
;
Critical Illness
;
Pulmonary Surfactants/therapeutic use*
;
Retrospective Studies
;
Risk Factors
;
Respiratory Distress Syndrome/therapy*
8.Epidemiological Survey of Hemoglobinopathies Based on Next-Generation Sequencing Platform in Hunan Province, China.
Hui XI ; Qin LIU ; Dong Hua XIE ; Xu ZHOU ; Wang Lan TANG ; De Guo TANG ; Chun Yan ZENG ; Qiong WANG ; Xing Hui NIE ; Jin Ping PENG ; Xiao Ya GAO ; Hong Liang WU ; Hao Qing ZHANG ; Li QIU ; Zong Hui FENG ; Shu Yuan WANG ; Shu Xiang ZHOU ; Jun HE ; Shi Hao ZHOU ; Fa Qun ZHOU ; Jun Qing ZHENG ; Shun Yao WANG ; Shi Ping CHEN ; Zhi Fen ZHENG ; Xiao Yuan MA ; Jun Qun FANG ; Chang Biao LIANG ; Hua WANG
Biomedical and Environmental Sciences 2023;36(2):127-134
OBJECTIVE:
This study was aimed at investigating the carrier rate of, and molecular variation in, α- and β-globin gene mutations in Hunan Province.
METHODS:
We recruited 25,946 individuals attending premarital screening from 42 districts and counties in all 14 cities of Hunan Province. Hematological screening was performed, and molecular parameters were assessed.
RESULTS:
The overall carrier rate of thalassemia was 7.1%, including 4.83% for α-thalassemia, 2.15% for β-thalassemia, and 0.12% for both α- and β-thalassemia. The highest carrier rate of thalassemia was in Yongzhou (14.57%). The most abundant genotype of α-thalassemia and β-thalassemia was -α 3.7/αα (50.23%) and β IVS-II-654/β N (28.23%), respectively. Four α-globin mutations [CD108 (ACC>AAC), CAP +29 (G>C), Hb Agrinio and Hb Cervantes] and six β-globin mutations [CAP +8 (C>T), IVS-II-848 (C>T), -56 (G>C), beta nt-77 (G>C), codon 20/21 (-TGGA) and Hb Knossos] had not previously been identified in China. Furthermore, this study provides the first report of the carrier rates of abnormal hemoglobin variants and α-globin triplication in Hunan Province, which were 0.49% and 1.99%, respectively.
CONCLUSION
Our study demonstrates the high complexity and diversity of thalassemia gene mutations in the Hunan population. The results should facilitate genetic counselling and the prevention of severe thalassemia in this region.
Humans
;
beta-Thalassemia/genetics*
;
alpha-Thalassemia/genetics*
;
Hemoglobinopathies/genetics*
;
China/epidemiology*
;
High-Throughput Nucleotide Sequencing
9.Analysis of the characteristics of retracted scientific papers in the field of global liver diseases published by Chinese scholars.
Qing Yao ZHONG ; Xin Yi ZHANG ; Hong Hui LUO ; Xin JIANG ; Xin Yi ZENG ; Jiao JIANG ; Hui Fang XIA ; Yan PENG ; Mu Han LYU ; Xiao Wei TANG
Chinese Journal of Hepatology 2023;31(1):96-100
Objective: To analyze the characteristics of scientific papers in the field of global liver diseases published by Chinese scholars that were retracted for diverse reasons from the Retraction Watch database, so as to provide a reference to publishing-related papers. Methods: The Retraction Watch database was retrieved for retracted papers in the field of global liver disease published by Chinese scholars from March 1, 2008 to January 28, 2021. The regional distribution, source journals, reasons for retraction, publication and retraction times, and others were analyzed. Results: A total of 101 retracted papers that were distributed across 21 provinces/cities were retrieved. Zhejiang area (n = 17) had the most retracted papers, followed by Shanghai (n = 14), and Beijing (n = 11). The vast majority were research papers (n = 95). The journal PLoS One had the highest number of retracted papers. In terms of time distribution, 2019 (n = 36) had the most retracted papers. 23 papers, accounting for 8.3% of all retractions, were retracted owing to journal or publisher concerns. Liver cancer (34%), liver transplantation (16%), hepatitis (14%), and others were the main areas of retracted papers. Conclusion: Chinese scholars have a large number of retracted articles in the field of global liver diseases. A journal or publisher chooses to retract a manuscript after investigating and discovering more flawed problems, which, however, require further support, revision, and supervision from the editorial and academic circles.
Humans
;
Biomedical Research
;
China
;
Liver Diseases
;
Scientific Misconduct
10.Research progress of artificial intelligence in 3D printed drugs
Xiao-lu HAN ; Shan-shan WANG ; Jing PENG ; Xiao-xuan HONG ; Zeng-ming WANG ; Na WANG ; Ai-ping ZHENG
Acta Pharmaceutica Sinica 2023;58(6):1577-1585
In 2015, the United States put forward the concept of precision medicine, which changed medical treatment from "one size fits all" to personalization, and paid more attention to personalization and drug customization. In the same year, Spritam®, the world's first 3D printed tablet, was in the market, marking the emerging pharmaceutical 3D printing technology was recognized by regulatory authorities, and it also provided a new way for drug customization. 3D printing technology has strong interdisciplinary and high flexibility, which puts forward higher requirements for pharmaceutical staffs. With the development of artificial intelligence (AI), modern society can perform various tasks, such as disease diagnosis and robotic surgery, with superhuman speed and intelligence. As a major AI technology, machine learning (ML) has been widely used in many aspects of 3D printing drug, accelerating the research and development, production, and clinical application, and promoting the new process of global personalized medicine and industry 4.0. This paper introduces the basic concepts and main classifications of 3D printing drug, non-AI drug optimization technology and ML. It focuses on the analysis of the research progress of ML in 3D printing drug, and elucidates how AI can empower the intelligent level of 3D printing drug in pre-processing, printing, and post-processing process. It provides a new idea for accelerating the development of 3D printed drug.

Result Analysis
Print
Save
E-mail