1.Study on relationship between serum total IgE and β《,2》-adrenoreceptor polymorphism in asthmatic patients
Xianwei YE ; Duanxing FENG ; Xiangyan ZHANG ; Hong YU ; Xiaoyuan DIAO
Journal of Chinese Physician 2008;10(7):920-921
Objective To study the association between serum total IgE level and β2-adrenoreceptor polymorphism (β2-AR) in asthmatic patients. Methods ELISA was used to determine serum total IgE and AS-PCR was used to determine β2-adrenoreceptor polymor- phism in 44 asthmatic patients. Results In β2-AR 16 locus genotype, the distribution frequencies of Arg/Arg, Gly/Gly showed increasing tendency, whereas Arg/Gly showed decreasing tendency, in normal serum total IgE group and increased serum total IgE group. But there was no significant difference between this two groups. In β2- AR 27 locus genotype, the distribution frequency of Gln/Gln genotype accounts for 76.2% and Gln/Glu genotype for 19.0% in increased serum total IgE group, while Gln/Gln genotype accounts for 9.0% and Gln/Glu geno- type for 73.9% in normal serum total IgE group. There was significant difference between two groups ( P<0.01 ). Conclusions Serum total IgE was correlated with β2-AR 27 locus genetic polymorphism, which may contribute to understand the mechanism of asthma in the peo- ple of the Han nationality in GuiZhou.
2.Automated Echocardiographic Measurement of Left Ventricular Ejection Fraction Based on Foundation Model in Computer Vision
Xintong WU ; Xiaolin DIAO ; Qi ZHAO ; Jiahui GENG ; Xiaoyuan GAO ; Zixing WANG ; Xin QUAN ; Zhenhui ZHU ; Wei ZHAO
Chinese Circulation Journal 2024;39(11):1092-1097
Objectives:To examine the feasibility of using foundation model in computer vision for echocardiographic left ventricular ejection fraction measurement. Methods:Based on the most extensive publicly accessible repository of echocardiographic loops,EchoNet-Dynamic,featuring 10024 recordings from individual patients,a foundation model in computer vision,VideoMAE V2,was fine-tuned,validated,tested using 7460,1288,and 1276 echocardiographic loops,respectively. Results:The mean absolute error between left ventricular ejection fraction measurements of VideoMAE V2 and expert's measurements was 3.94% (95%CI:3.79%-4.11%).The Pearson's correlation coefficient was 0.91 (95%CI:0.89-0.92).Additionally,VideoMAE V2 demonstrated exceptional accuracy in identifying patients with a left ventricular ejection fraction below 50%,achieving an AUC of 0.96 (95%CI:0.95-0.97). Conclusions:This study validates the feasibility of using foundation model in computer vision for measuring left ventricular ejection fraction in echocardiographic loops and lays the foundation for the development of a generalized multimodal automated interpretation system for echocardiography.