1.Application of discriminant analysis in the screening of cytomegalovirus pneumonia
Zhaocheng ZENG ; Changchun YU ; Zhiwei SUN ; Mingmei SONG ; Xiaoqiao CHEN ; Liping CHENG
International Journal of Pediatrics 2013;(1):104-106
Objective To look for a reliable and convenient judgement criteria for the screening of cytomegalovirus pneumonia in order to reduce misdiagnosis and resulted mistherapy.Methods Process collected data on fifty-six cytomegalovirus pneumonia and forty-two common viruses induced asthmatic bronchitis cases by use of discriminant analysis to construct prediction model of diagnosis result.Results Only three indexes including age,lymph count and platelet count were selected into the model via sift.The performance of the established screening model showed as follows:sensitivity was 80.36%,specificity was 80.95%,misdiagnosis rate was 19.05%,false negative rate was 19.64%,diagnostic accordance rate was 80.61%.Conclusion Being concise and of strong maneuverability and high accuracy in prediction,cytomegalovirus pneumonia diagnosis model constructed through discriminant analysis can provide powerful screening means for medical staff.
2.Serum metabolomic profiling among different Traditional Chinese Medicine syndromes of patients with high-risk for diabetes foot ulceration
Tengteng SHAO ; Yuqing WANG ; Jialin WANG ; Xinyi GU ; Mingmei ZHOU ; Cheng ZHAO
International Journal of Traditional Chinese Medicine 2021;43(3):229-236
Objective:To explore the metabolic regulations of different Traditional Chinese Medicine (TCM) syndromes in the diabetic patients with high risk for foot ulceration.Methods:Based on gas chromatography-mass spectrometer and multi-dimensional data processing methods, the metabolomics analysis was used to compare the serum metabolites profile of healthy people (32 cases) and the high-risk foot patients in Cold and Blood Stagnation syndrome (44 cases), Heat-toxin hurting Yin syndrome (54 cases), and Qi-Blood deficiency syndrome (33 cases), who were hospitalized at Shanghai TCM-Integrated Hospital from Apirl to December, 2018.Results:This study suggested that compared with healthy people, the diabetic patients with high risk for foot ulceration showed significantly lower serum level of urea [(2.41 ± 1.57)×10 5vs. (3.32 ± 2.10)×10 5], L-leucine [(4.94 ± 3.15)×10 5vs. (6.39 ± 3.57)×10 5], aspartic acid [(3.94 ± 4.48)×10 5vs. (9.62 ± 6.93)×10 5], 9H-purine [(1.74 ± 1.95)×10 5vs. (3.34 ± 2.23)×10 5] ( P<0.05 or P<0.01), while higher level of d-Glucose [(3.72 ± 1.71)×10 5vs. (2.21 ± 1.32)×10 5] and d-glucopyranose [(3.32 ± 2.10)×10 5vs. (1.35 ± 1.43)×10 5] ( P<0.01). Energy metabolism, amino acid metabolism and sugar metabolism were mainly involved. the content of L-tyrosine in the group of patients with Cold and Blood Stagnation syndromewas significantly higher than that in healthy people. The urea, purine, leucine, aspartic acidcontent in patients of Heat-toxin hurting Yin syndrome were significantly lower than that in healthy people. The purine content in patients of Qi and Blood Deficiency Syndrome was significantly lower than that in healthy people. Compared with the syndrome of Heat-toxin hurting Yin syndrome, patients in Cold and Blood Stagnation syndrome showed a significantly higher content of beta-1-galactopyranoside and butanoic acid. Compared to the Qi-Blood deficiency syndrome, serum urea level in patients of Heat-toxin hurting Yin syndrome was significantly higher than those in the patients of other two TCM syndromes. Conclusions:The serum metabolomics profiling differentiate three TCM-syndrome in high-risk DF patients, which can provide objective basis for clinical TCM syndrome differentiation and treatment of high-risk diabetic foot patients.
3.Analysis and prediction of global burden of stroke diseases from 1990 to 2049
Hujuan SHI ; Yihang XIA ; Yiran CHENG ; Mingmei CHENG ; Zhen LIANG ; Yanzhong WANG ; Wanqing XIE
China Medical Equipment 2024;21(11):141-150
Objective:To analyze the current status of the global burden of stroke disease from 1990 to 2019,to predict the development trend of stroke disease burden in the 30 years from 2020 to 2049,and to provide a basis for formulating national health policies on stroke diseases.Methods:The Global Burden of Disease Study 2019(GBD 2019)database was searched to extract global stroke disease incidence,prevalence,case fatality,and disability-adjusted life years(DALYs)disease burden indicators from 1990-2019,the trends over time were modeled using linear,Poisson,and exponential regressions,prediction and study of the relationship between stroke and sociodemographic index(SDI)based on per capita gross domestic product(GDP)were conducted.Results:The global burden of stroke disease increased significantly from 1990-2019 and is predicted to continue to rise over the next 30 years(2020-2049).In 2049,the global stroke incidence,prevalence,case fatality,and DALYs will increase by 8.53 million(63%),119.83 million(109%),7.79 million(118%)and 118.92 million person-years(79%),respectively,compared with 2019,with a significant increase in the burden of stroke in the elderly population.In the next 30 years,the age-standardized incidence rates of stroke in men and women will be similar,while the age-standardized rates of prevalence in women will be relatively higher,and age-standardized case fatality rates and DALYs in men will be relatively higher.The disease burden of stroke was negatively correlated with SDI.The burden of stroke disease was significantly higher in regions with a low SDI than in regions with a high SDI.Conclusion:The global burden of stroke will increase in the next 30 years,which may be related to the aging of population and closely related to the development of economy.It is necessary to strengthen the prevention of stroke and formulate targeted strategies targeted strategies according to different SDI regions.
4.Study of molecular of 80 clinical streptococcus pneumoniae strains in Maanshan area.
Daoli CHEN ; Machao LI ; Haijian ZHOU ; Guojun LIU ; Yan WANG ; Baiqi YU ; Mingmei SHI ; Xianfeng CHENG ; Ying HONG ; Jin CHEN ; Wanfu HU ; Jun REN ; Shengwei ZHAN
Chinese Journal of Preventive Medicine 2015;49(1):56-59