1.Diagnosis and classification of fetal congenital heart disease by echocardiography
Jun LI ; Haili SU ; Jun ZHANG ; Ting ZHU ; Yiqian SUN ; Peng XU ; Minjuan ZHENG ; Liwen LIU ; Xiangdong MA ; Biliang CHEN
Chinese Journal of Ultrasonography 2011;20(11):940-943
Objective To investigate the common types of fetal cardiac malformations and complicated malformations,and to assess the value of classifying on these types.Methods 3201 pregnant women were undergone with fetal echocardiography (FECG),239 fetuses of them were diagnosed to be suffered with congenital heart disease(CHD),and 8 cases were one of twins with abnormal heart confirmed by FECG.All new-births were examined by echocardiography within half year after their births.Results 155 complex CHD in 239 fetuses were diagnosed by FECG,in them the common malformations were in turn 59 cases with diagnosed univentricular heart,29 cases with double outlet right ventricle,19 with atrio ventricular septum defect,12 with tetralogy of Fallot or quinalogy of Fallot,11 with persistent truncus arteriosus,6 with right ventricular dysplasia syndrome,6 cases transposition of the great vessels.100 cases were induced labor,41 of them were comfirmed by pathology.16 fetuses were born,123 cases were being pregnanted or un-followed up.Conclusions Complex and multi-malformation were common in fetal cardiocascular abnormalities.Diagnosing rate of fetal CHD(FCHD) in our enroll fetuses was 7.47 %,rate of complex CHD vs CHD was 64.85 %.According different types of FCHD,able to be operated or not after birth,surgery methods,as well as prognosis evaluations,all FCHD cases were classified into three subtypes:curable type,curable palliative type and untreatable type.This newly viewpoint will help pregnant women and their family to make reasonable selection.
2.Monitoring of blood tacrolimus concentration and lymphocyte subsets in the first uterus transplant recipient in China and its clinical significance
Rui LI ; Liu YANG ; Jinjie LI ; Liang CHANG ; Jing YANG ; Mingquan SU ; Biliang CHEN ; Yueyun MA ; Xiaoke HAO
Chinese Journal of Clinical Laboratory Science 2017;35(1):53-56
Objective To investigate the changes of peripheral blood tacrolimus concentration and lymphocyte subsets in the uterus transplant recipient,and provide the evidence for monitoring the immune status after uterus transplantation.Methods The peripheral blood tacrolimus concentrations of the uterus transplant recipient during 1 year after transplantation were measured with the microparticle enzyme immunoassay (MEIA).Meanwhile,the whole blood cell counts and lymphocyte subsets were determined by the blood analyzer and flow cytometer,respectively.Results The blood tacrolimus concentrations of the uterus transplant recipient in the first month and second month after transplantation were (13.51 ± 3.92) ng/mL and (15.58 ± 1.19) ng/mL,respectively.The lymphocyte absolute counts were normal before transplantation.At the fifth day after transplantation,the counts of CD3 + T lymphocytes,CD4 + T lymphocytes,CD8 + T lymphocytes and NK cells and the ratio of CD4/CD8 were significantly decreased.One week after transplantation,the counts of CD4 + T lymphocytes were recovered to the normal range and maintained,but its recovery was slower than that of CD8 + T lymphocytes.The ratio of CD4/CD8 ranged from 0.4 to 0.8 during 10 days after transplantation,and increased and maintained between 0.8 and 1.1 after that.The counts of NK cells increased gradually from the 10th day after transplantation,but still did not recover to the level before transplantation even at the 20th day after transplantation.However,the counts and percentages of B lymphocytes did not decrease but increased at the fifth day after transplantation,and recovered to normal gradually from the 10th day after transplantation.There was no significant correlation between the CD3 + T lymphocyte count and blood tacrolimus concentration.Conclusion The dynamic changes of blood lymphocyte subsets and tacrolimus concentration exist in the uterus transplant recipient,which need to be further verified by a large amount of clinical data.
3.Grey correlation analysis on influencing factors of Yang deficiency constitution
LUO Yue ; JIANG Luxia ; YANG Shengwen ; SU Biliang ; OU Jintao ; WEN Chuanbiao
Digital Chinese Medicine 2023;6(2):151-159
【Objective 】 To explore the influencing factors of Yang deficiency constitution in traditional Chinese medicine (TCM) from the perspective of mathematics with the use of calculation formulas, so as to protect patients from getting diseases caused by Yang deficiency constitution and provide suggestions for TCM disease prevention.
【Methods】 Based on the classification and determination criteria of TCM constitution implemented by China Association of Chinese Medicine, data for 24 solar terms from May 5, 2020(Start of Summer) to April 20, 2021 (Grain Rain) for the identification of Yang deficiency were collected by mobile constitution identification system. The grey correlation analysis method was used to determine the grey correlation degree of the factors influencing Yang deficiency constitution. In addition, a random forest model was constructed for the verification of the results from the grey correlation analysis, and for the evaluation of correlation degree between Yang deficiency constitution and its influencing factors.
【Results】 A total of 16 259 sets of data were collected from healthy or sub-healthy individuals aged from 18 to 60 years living in the central and northeastern parts of Sichuan Province(China) for the identification of TCM constitutions. After screening and preprocessing, a total of 544 sets of data for the identification of Yang deficiency constitution, involving 18 aspects of factors influencing Yang deficiency constitution. The results of the grey correlation analysis showed that there were 12 influencing factors whose grey correlation degree with Yang deficiency constitution was greater than 0.6. The accuracy of these 12 influencing factors with the training set and validation set of the Yang deficiency constitution random forest model were 98.39% and 93.12%, respectively.
【Conclusion】 In the sample data selected in this paper, grey correlation analysis is the appropriate technology to analyze the influencing factors of Yang deficiency constitution. It provides a new idea and a new methodological reference for the research and analysis of the influencing factors of TCM constitution.