Do HIV type 1 RNA levels provide additional prognostic value to CD4(+) T lymphocyte counts in patients with advanced HIV type 1 infection?
Our objective was to assess whether HIV-1 RNA levels provide additional prognostic information beyond CD4(+) T lymphocyte counts in the prediction of subsequent HIV-1 disease progression among patients with advanced HIV-1 disease. In a nested case-control study conducted in patients with baseline CD4(+) T lymphocyte counts < 300 cells/mm(3) and receiving nucleoside reverse transcriptase inhibitors, 102 patients who progressed to an AIDS-defining event or death were matched within 10 CD4(+) T lymphocyte cells/mm(3) to patients who did not progress. The relationship between plasma HIV-1 RNA levels and HIV-1 disease progression was studied using conditional logistic regression analysis, which adjusts for the matching by baseline CD4(+) T lymphocytes. We observed a 0.10 log(10) copies/ml difference in baseline HIV-1 RNA levels between cases and their matched controls (p = 0.027). The relative risk for HIV-1 disease progression increased with increasing baseline HIV-1 RNA levels (odds ratio [OR] for a 3-fold higher HIV-1 RNA level, 1.42; 95% confidence interval [CI], 1.08--1.86), and remained important when also controlling for clinical status at baseline and CD4(+) T lymphocytes at 2 months (p = 0.038). Higher baseline HIV-1 RNA levels were associated with HIV-1 disease progression among patients with a baseline CD4(+) T lymphocyte count of 100 cells/mm(3) or greater (OR, 1.80; 95% CI, 1.15--2.81), but not among patients with a baseline CD4(+) T lymphocyte count < 100 cells/mm(3) (OR, 1.09; 95% CI, 0.73--1.63). We concluded that HIV-1 RNA levels predict subsequent HIV-1 disease progression independent of CD4(+) T lymphocyte counts. The magnitude and importance of the prognostic information contained in the HIV-1 RNA levels appear to depend on the CD4(+) T lymphocyte counts.
Arduino
J M
JM
Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA. jeanmarie_arduino@merck.com
Fischl
M A
MA
Stanley
K
K
Collier
A C
AC
Spiegelman
D
D
D000328:Adult; D019380:Anti-HIV Agents / Q000627:therapeutic use; D018791:CD4 Lymphocyte Count; D016022:Case-Control Studies; D018450:Disease Progression; D004311:Double-Blind Method; D004359:Drug Therapy, Combination; D005260:Female; D015658:HIV Infections / Q000188:drug therapy / Q000276:immunology* / Q000503:physiopathology* / Q000821:virology; D015497:HIV-1 / Q000302:isolation & purification / Q000502:physiology*; D006801:Humans; D008297:Male; D011379:Prognosis; D012367:RNA, Viral / Q000097:blood*; D018894:Reverse Transcriptase Inhibitors / Q000627:therapeutic use; D019562:Viral Load; D016047:Zalcitabine / Q000627:therapeutic use; D015215:Zidovudine / Q000627:therapeutic use*
D019380:Anti-HIV Agents; D012367:RNA, Viral; D018894:Reverse Transcriptase Inhibitors; D015215:Zidovudine; D016047:Zalcitabine