1.Relationship between Quality of Life and Social Support of the Elderly in Weifang
Shutao XU ; Jianhua ZHANG ; Wengui ZHENG ; Shan ZHAO ; Xiangxiang ZHANG ; Jiangfei LI ; Han ZHANG ; Mengna DAI ; Shan ZHOU
Chinese Medical Ethics 2017;30(4):432-434,439
Objective:This article is to study the quality of life and the situation of social support for the elderly in Weifang while analyzing the correlation between them.Methods:This study was undertaken among elderly aged over 60 followning the European five D health scale and Social Support Rating Scale.The results were analyzed statistically.Results:On the living quality of elderly in Weifang,the EQ-SD index was (0.78 ±0.12) and the EQ -VAS index was (76.42 ± 14.67).The result from each scale shows a tremendous health issue among the elderly in Weifang.On the other hand,the situation of social support for the elderly in Weifang appeared optimistic.Still,this situation can be improved in practical supports.Also,there was significant negative correlation between EQ-5D and SSRS (r =0.260,P < 0.05).Results of multiple linear regression show that the subjective support and objective support may enter the regression equation.Conclusion:To conclude,the city of Weifang awaits improvements in aged care and social support for the elderly.Only by this chance the quahty of life of the elderly may be improved.
2.Artificial intelligence-based drug development: current progress and future challenges
Zehao YU ; Leiming ZHANG ; Mengna ZHANG ; Zhiqi DAI ; Chengbin PENG ; Siming ZHENG
Journal of China Pharmaceutical University 2023;54(3):282-293
In recent years, artificial intelligence (AI) has been widely applied in the field of drug discovery and development.In particular, natural language processing technology has been significantly improved after the emergence of the pre-training model.On this basis, the introduction of graph neural network has also made drug development more accurate and efficient.In order to help drug developers more systematically and comprehensively understand the application of artificial intelligence in drug discovery, this article introduces cutting-edge algorithms in AI, and elaborates on the various applications of AI in drug development, including drug small molecule design, virtual screening, drug repurposing, and drug property prediction, finally discusses the opportunities and challenges of AI in future drug development.
3.Pneumonia mortality in children aged 0-14 years in China during 2005 to 2019
DAI Mengna, XI Yan, YIN Wenqiang, CHEN Zhongming, HU Jinwei, FENG Zhiqiang, TANG Changhai
Chinese Journal of School Health 2021;42(9):1411-1414
Objective:
To understand pneumonia mortality in children aged 0-14 years in China in recent 15 years, and to provide reference for child pneumonia prevention and treatment.
Methods:
Based on the death data from China Statistical Yearbook 2005-2019, pneumonia mortality in urban and rural children aged 0-14 was extracted and the standardized mortality was calculated, and the trend of mortality was fitted by Joinpoint regression model.
Results:
The crude mortality rate of child pneumonia in urban and rural areas showed an increasing trend, while the standardized mortality rate showed a fluctuating downward trend. Joinpoint regression showed that the mortality rate of pneumonia in urban and rural children showed a monotonous downward trend, and there was no turning point. The overall APC of pneumonia mortality of urban children was -3.4, that of boys and girls were both -3.5. Trend for annual changes in urban areas were found significant among total sample and boys (both P <0.05). The overall APC of pneumonia mortality in rural children was -7.8, that of boys and girls were -7.1 and -7.8, respectively. Trend for annual changes in rural areas were found significant among total sample and boys(both P <0.05). There was no significant differences in the trend of mortality between urban and rural groups.
Conclusion
During 2005 to 2019, child pneumonia mortality in urban and rural areas in China shows a downward trend, which is relatively balanced in urban and rural areas. Further strengthened pediatric pneumonia treatment and management are expected to reduce the pneumonia mortality.
4.Incidence, mortality and trends of drowning among children aged 0-14 years in China, 1990-2019
DAI Mengna, XI Yan, YIN Wenqiang, CHEN Zhongming, FENG Zhiqiang, TANG Changhai
Chinese Journal of School Health 2022;43(2):256-259
Objective:
To understand the incidence and mortality of drowning and secular trend among children aged 0-14 from 1990 to 2019 in China, so as to provide reference for drowning intervention among children in China.
Methods:
Based on data of drowning incidence and death in 0-14 years old children in China in 1990-2019 years Global Burden of Disease (GBD 2019) database, the standardized rate was calculated by the world standard population, and the trend of incidence rate and mortality rate was fitted by Joinpoint regression model respectively.
Results:
From 1990 to 2019, the overall incidence of drowning among children aged 0-14 years in China decreased from 37.17/100 000 to 12.54/100 000, a relative decrease of 66.26%; the standardized incidence rate decreased from 21.78/100 000 to 14.98/100 000, a relative decrease of 31.22%. The incidence rate and standardized incidence rate of drowning in children showed an increasing after decreasing trend, with decreasing mortality and standardized mortality rate. Joinpoint regression showed that the incidence rate of standardized AAPC for child drowning was -1.3, -2.5 for males and 0 for females. The overall standardized mortality rate of drowning was -3.9, male was -3.6, female was about -4.5 , the trend changes were statistically significant ( P <0.05). The incidence rate and mortality rate of male were higher than that of female, and there was significant difference between male and female groups ( P <0.05).
Conclusion
Significant progress has been made in child drowning prevention and control, with substantial decreasing in the incidence rate of child drowning. However, considering recent slight increase in drowning incidence, effective measures should be developmed including risk factors, vulnerable population to further control the incidence and mortality of child drowning.
5.Initial Experience in the Application of Virtual Touch Tissue Quantification in the Differential Diagnosis of Focal Pancreatic Lesions.
Jie HAN ; Ke LÜ ; Yuxin JIANG ; Qing DAI ; Jianchu LI ; Mengna HE ; Pin GAO
Acta Academiae Medicinae Sinicae 2017;39(2):266-271
Objective To explore the potential value of the virtual touch tissue quantification (VTQ) in the differential diagnosis of focal pancreatic lesions. Methods Totally 51 patients with focal pancreatic lesions underwent the quantitative analysis by VTQ. Based on the pathologic or clinical diagnosis,the VTQ values including lesional shear wave velocity (LSWV),parenchymal shear wave velocity (PSWV),and difference shear wave velocity (DSWV)(DSWV=LSWV-PSWV) were compared between the lesions and background parenchyma. Results The mean LSWV and PSWV were (2.39±1.25) m/s(0.60-4.39 m/s) and (1.59±0.63) m/s (0.76-3.22 m/s) in malignant group,(1.92±1.07) m/s(0.79-4.00 m/s) and (1.43±0.41) m/s(0.80-2.23 m/s) in potentially malignant group,and (2.40±1.10) m/s (0.89-3.42 m/s) and (1.48±0.44) m/s (1.03-2.11 m/s) in benign group. There were statistically significant difference between LSWV and PSWV in bengin and malignant group (P=0.029,P=0.005),while no statistical significance in potential malignant group (P=0.087). However,LSWV,PSWV,and DSWV showed no significant difference among these three groups (P=0.401,P=0.638,P=0.625,respectively). LSWV was not significantly associated with the tumor size (r=0.253,P>0.05) but had negative correlation with the depth of region of interest (r=-0.413,P<0.05). Conclusion VTQ may be valuable in the differential diagnosis of focal pancreatic lesions,although further research is still required.