1.Study on immunophenotyping with multi-color flow cytometry in adult patients with acute myeloid leukemia
Xiaodong XU ; Shengming ZHAO ; Tianlin ZHENG ; Naibai CHANG
Journal of Leukemia & Lymphoma 2009;18(5):270-271
Objective To evaluate the characteristics of immunophenotyping in adults with acute myeloid leukemia (AML) using muhi-eolor flow cytometry. Methods Immunophenotyping was performed by three color flow cytometry using CD45/SSC gating. Results In 126 patients with AML, the myeloid antigen of CD13, CD33 and CD117 was highly expressed. The positive rate was 86.4 %, 70.2 % and 90.4 %, respectively. The CD34 and HLA-DR were lowerly expressed as 63.5 % and 61.7 %, respectively. About 34.2 % of lymphoid-assoeiated antigen expression of all the AML patients. The lymphoid-associated antigens of CD7 and CD19 expression in patients with AML was 23.6 % and 2.3 %, respectively. Conclusion Multi-color flow cytometry is an important method for diagnosis and prognosis for AML.
2.Relationship between air pollution and the number of pneumonia hospitalization in a children's hospital in Changsha
Feiyun OUYANG ; Siyun LIU ; Jie MAO ; Qianqian ZHENG ; Tianlin MA ; Ming HU
Journal of Central South University(Medical Sciences) 2017;42(12):1417-1424
Objective:To explore the relationship between air pollution and the number of pneumonia hospitalization in a children's hospital in Changsha.Methods:Children who have been in this hospital for the treatment of pneumonia between December 2013 and December 2015 were enrolled in this study.Based on daily meteorological data and air pollution data from December 2013 to December 2015 in Changsha,we constructed a generalized additive model to analyze the relationship between air pollution and the number of pneumonia hospitalization.Results:During the research,the average concentration of PM2.5 and PM10 exceeded the Grade Ⅱ national standards for air quality.The average concentration of SO2 exceeded the Grade Ⅰ national standards.The change of all the 3 main air pollution indexes showed strong statistical relationship with the change of the number of pneumonia hospitalization (P<0.05),among which,the impact of SO2 ranked number 1,followed by PM2.5 and PM10.Effect of atmospheric pollution on the number of pneumonia boys was basically same as that in the total pneumonia children (P<0.05).The effect on girls showed no statistical relationship in both models (P>0.05).Conclusion:The concentrations of SO2'PM2.5 and PM10 are positively correlated with pneumonia hospitalization number of children,and their effect on boys is more obvious than that in the girls.