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LETTER

CD4 Counts as Surrogate Markers for Progression to AIDS

right arrow Stephen D. Nightingale, MD

1 January 1994 | Volume 120 Issue 1 | Pages 87-88


TO THE EDITOR:

Dr. Choi and colleagues [1] found CD4 percent to be a better surrogate marker for progression to the acquired immunodeficiency syndrome (AIDS) than the CD4 count, particularly in patients who had not progressed to AIDS after 16 weeks of therapy. In our patients, the logarithm of the CD4 count can account for 97% of the variation in 1-year survival and 89% of the variation in 1-year progression to AIDS [2]. How does this compare with the CD4 percent?

The Cox proportional-hazards model used by the authors assumes a constant risk for progression to AIDS over time [3]. The difference observed by the authors in the association between CD4 count compared with percent and progression to AIDS before and after 16 weeks of therapy suggests that this assumption may have been violated. Did the authors formally test this assumption of uniform hazard?

Furthermore, the criterion for a surrogate marker adopted by Choi and colleagues—that the effect of a drug on a disease should be explained by its effect on the surrogate marker—is reasonable but ambiguous. Should 20%, 60%, 100% of the effect of a study drug on a disease be explainable before the marker is accepted as a valid surrogate? When the choice of end point in a clinical trial is between a surrogate marker and a life-threatening (or fatal) event, a less-than-perfect correlation between marker and event may be acceptable.


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University of Texas Southwestern Medical Center; Dallas, TX 75235


References
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1. Choi S, Lagakos SW, Schooley RT, Volberding PA. CD4+ lymphocytes are an incomplete surrogate marker for clinical progression in persons with asymptomatic HIV infection taking zidovudine. Ann Intern Med. 1993; 118:674-80.

2. Nightingale SD, Jockusch JD, Haslund I, Cal SX, Peterson DM, Loss SD. Logarithmic relationship of the CD4 count to survival in patients with human immunodeficiency virus infection. Arch Intern Med. 1993; 153:1313-8.

3. Lee ET. Statistical Methods for Survival Data Analysis. Second edition. New York: John Wiley and Sons; 1992:250.

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