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作 者:曾德军 马建英[1] 赵茂岑 ZENG De-jun;MA Jian-ying;ZHAO Mao-cen(Deyang Municipal Center for Disease Control and Prevention,Deyang,Sichuan 618000,China)
机构地区:[1]四川省德阳市疾病预防控制中心,四川德阳618000
出 处:《疾病预防控制通报》2020年第5期9-12,共4页Bulletin of Disease Control & Prevention(China)
基 金:德阳市重点科学技术研究项目(2018SZS061)。
摘 要:目的探索HIV感染者/AIDS病人(HIV/AIDS)体内CD4^+ T淋巴细胞数与病毒载量的相关性,为实现两者间的相互估算提供理论依据。方法通过流式细胞技术和实时荧光定量PCR法,检测四川省德阳市HIV/AIDS体内CD4^+ T淋巴细胞数和病毒载量,分析其相关性和线性回归关系。结果 2015—2018年,共检测2 592例HIV/AIDS外周静脉血液样本,201~500个/μl为CD4^+ T淋巴细胞主要分布区间,共计1 551例、占59.8%;小于检测限为病毒载量主要分布区间,共计2 030例、占78.4%;HIV/AIDS体内CD4^+ T淋巴细胞数与病毒载量呈负相关(r=-0.182,P<0.05),CD4^+ T淋巴细胞低值区与病毒载量负相关更显著;由低到高将CD4^+ T淋巴细胞分成10个梯度区间,各区间对应的病毒载量差异有统计学意义(χ~2=315.832,P<0.05);通过区间分类汇总,CD4^+ T淋巴细胞与病毒载量存在线性回归关系(y=-0.004 6x+5.338 5,R^2=0.979 3;F=378.320,P<0.05)。结论 HIV/AIDS机体内,随着HIV病毒载量升高,CD4^+ T淋巴细胞数呈现下降趋势,且在一定置信区间实现线性互算。Objective To explore the correlation between the number of CD4+T lymphocytes and the viral load in HIV infectors and AIDS patients(HIV/AIDS),and provide theoretical basis for mutual estimation.Methods The CD4+T lymphocytes count and HIV viral load were tested with flow cytometry and RT-PCR in HIV/AIDS in Deyang city of Sichuan province,for analyzing their correlation and linear regression relationship.Results There were 2592 peripheral venous blood samples of HIV/AIDS detected from 2015 to 2018.The CD4+T lymphocytes count were mainly from 201-500 cells/μl(1551 samples),accounting for 59.8%,while the viral load was less than the detection limit(2030 samples),occupying 78.4%.The CD4+T lymphocyte count showed negative correlation with the viral load of the patients(r=-0.182,P<0.05),especially in the range of low values.The CD4+T lymphocytes count were divided into 10 gradient ranges from low to high,and the difference in viral load was statistically significant among different gradient ranges(χ2=315.832,P<0.05).There was linear regression relationship between CD4+T lymphocyte count and viral load(y=-0.0046x+5.3385,R2=0.9793;F=378.320,P<0.05)by range classification and summary.Conclusions The CD4+T lymphocytes count shows decrease trend with HIV viral load increase in HIV/AIDS and linear computation can be calculated with each other within a certain confidence interval.
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