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spacespaceClinical Manual > Testing and Assessment > HIV Progression
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 CONTENTS
1Testing/ Assessment
2Health Maintenance
3ARV Therapy
4ARV Complications
5Complaints
6Diseases
7Pain and Palliative
8Neuropsychiatric
9Populations
10Resources
  
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Clinical Manual for Management of the HIV-Infected Adult
2006 Edition

Section 1: Testing and Assessment

Determining Risk of HIV Progression

Chapter Contents
Background
References
Table 1. Relationship between CD4 Count or Viral Load and AIDS Progression
Table 2. Predicted 6-Month Risk of AIDS according to Age and Current CD4 Cell Count and Viral Load, Based on a Poisson Regression Model
Figure 1. Prognosis according to CD4 Cell Count and Viral Load in the Pre-HAART and HAART Eras
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Background

The absolute CD4 cell count and CD4 percentage are used for disease staging, and to determine when to start antiretroviral therapy (ART) and prophylaxis against opportunistic infections. The HIV RNA level (viral load), when used in conjunction with the CD4 count, also provides prognostic information in patients who are naive to ART.

Data from various cohort studies have demonstrated the strong relationship between lower CD4 count or higher viral load and the risk of progression to AIDS. Tables 1 and 2 and Figure 1 below show the risk of disease progression and death in patients who have not been treated with ART and in patients starting ART in several North American, European, and Australian cohorts. The data consistently indicate the importance of initiating ART before the CD4 count declines to <200 cells/µL, if possible.

Table 1. Relationship between CD4 Count or Viral Load and AIDS Progression
CD4 Count (cells/µL)Viral Load (copies/mL)AIDS Progression in Men (%)
Over 3 YearsOver 9 Years
<200<10,00014%64%
10,000-30,00050%90%
>30,00086%100%
200-350<10,0007%66%
10,000-30,00036%85%
>30,00064%93%
>350<10,0007%54%
10,000-30,00015%74%
>30,00040%85%
Adapted from: Mellors JW, Rinaldo CR Jr, Gupta P, et al. Prognosis in HIV-1 infection predicted by the quantity of virus in plasma. Science. 1996 May 24;272(5265):1167-70.
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Table 2. Predicted 6-Month Risk of AIDS according to Age and Current CD4 Cell Count and Viral Load, Based on a Poisson Regression Model
Predicted Risk (%) at Current
CD4 cell Count (x 106 cells/L)*
Viral Load (copies/ml)50100150200250300350400450500
Age 25 years
3,0006.83.72.31.61.10.80.60.50.40.3
10,0009.65.33.42.31.61.20.90.70.50.4
30,00013.37.44.73.22.21.61.20.90.70.6
100,00018.610.66.74.63.22.41.81.41.10.8
300,00025.114.59.36.34.53.32.51.91.51.2
Age 35 years
3,0008.54.73.02.01.41.00.80.60.50.4
10,00012.16.74.32.92.01.51.10.90.70.5
30,00016.69.35.94.02.82.11.61.20.90.7
100,00023.113.28.55.84.13.02.31.71.31.1
300,00030.81811.78.05.74.23.12.41.91.5
Age 45 years
3,00010.75.93.72.51.81.31.00.70.60.5
10,00015.18.55.43.62.61.91.41.10.80.7
30,00020.611.77.55.13.62.62.01.51.20.9
100,00028.416.510.67.35.23.82.92.21.71.3
300,00037.422.414.610.17.25.34.03.12.41.9
Age 55 years
3,00013.47.54.73.22.31.71.20.90.70.6
10,00018.810.76.84.63.32.41.81.41.10.8
30,00025.414.69.46.44.63.32.51.91.51.2
100,00034.620.513.39.26.54.83.62.82.21.7
300,00044.827.518.212.69.16.75.03.93.02.4

*Shading distinguishes risk: <2%, no shading; 2-9.9%, light gray; 10-19.9%, mid-gray; > 20%, darkest gray.

Reprinted with permission from Lippincott, Williams & Wilkins [Phillips A; CASCADE Collaboration. Short-term risk of AIDS according to current CD4 cell count and viral load in antiretroviral drug-naïve individuals and those treated in the monotherapy era. AIDS 2004; 18 (1):51-8]. Lippincott, Williams & Wilkins home page: http://lww.com

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References

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