Schwartländer B, Bek B, Skarabis H, Koch J, Burkowitz J, Koch M A
AIDS Centre, Federal Health Office, Berlin, Germany.
AIDS. 1993 Jun;7(6):813-21.
To evaluate whether the use of immunological markers in addition to CD4+ lymphocyte count can improve the prediction of the probability of developing AIDS within a given period.
Prospective multicentre cohort study of homosexual men.
A total of 447 HIV-positive homosexual men followed prospectively at 6-month intervals (median time of observation, 47 months).
Estimation of AIDS-free time using lifetable plots by Cutler and Ederer and Weibull parametric models. A stepwise multivariate regression analysis was used to calculate the optimal combination of the parameters studied.
In general CD4+ lymphocyte counts are most important for the prediction of AIDS-free time. The use of serum levels of beta 2-microglobulin (beta 2M), immunoglobulin A (IgA) and erythrocyte sedimentation rate (ESR) can significantly improve the predictive value of CD4+ lymphocyte counts. However, the usefulness of these parameters depends on the stage of HIV disease. In patients with a CD4+ lymphocyte count > 500 x 10(6)/l, only IgA level had a significant predictive value; none of the other parameters significantly improved the model. In patients with a CD4+ lymphocyte count < 500 x 10(6)/l, the absolute number of CD4+ cells itself was the most important single predictive parameter, but the prediction of AIDS was significantly improved by the addition of the other parameters investigated. The most powerful combination of parameters in this group was CD4+ count, beta 2M and ESR.
Determination of serum IgA, beta 2M and ESR in addition to CD4+ lymphocyte count may aid the choice of specific therapeutic regimens or systems of care for HIV-positive individuals.
评估除CD4+淋巴细胞计数外,使用免疫标志物是否能改善对在给定时期内发展为艾滋病概率的预测。
对男同性恋者进行的前瞻性多中心队列研究。
共有447名HIV阳性男同性恋者,每隔6个月进行前瞻性随访(中位观察时间为47个月)。
使用Cutler和Ederer的寿命表图以及威布尔参数模型估计无艾滋病时间。采用逐步多元回归分析来计算所研究参数的最佳组合。
总体而言,CD4+淋巴细胞计数对预测无艾滋病时间最为重要。使用血清β2-微球蛋白(β2M)、免疫球蛋白A(IgA)水平和红细胞沉降率(ESR)可显著提高CD4+淋巴细胞计数的预测价值。然而,这些参数的有用性取决于HIV疾病的阶段。在CD4+淋巴细胞计数>500×10⁶/l的患者中,只有IgA水平具有显著预测价值;其他参数均未显著改善模型。在CD4+淋巴细胞计数<500×10⁶/l的患者中,CD4+细胞的绝对数量本身是最重要的单一预测参数,但加入其他研究参数后,对艾滋病的预测有显著改善。该组中最有效的参数组合是CD4+计数、β2M和ESR。
除CD4+淋巴细胞计数外,测定血清IgA、β2M和ESR可能有助于为HIV阳性个体选择特定的治疗方案或护理体系。