Research Article

Tenofovir-Based Highly Active Antiretroviral Therapy Is Associated with Superior CD4 T Cells Repopulation Compared to Zidovudine-Based HAART in HIV 1 Infected Adults

Table 2

Comparison of CD4 T cells count change between treatment groups and how other variables affect CD4 T cells reconstitution following the initiation of HAART.

Comparison between baseline CD4 count and outcome after median of 5 months after HAART
GroupPretreatment cells/µLPosttreatment cells/µL value

Overall142.5 ( 0–556)327 (45–972)<0.0001
ZLE104 (0–509)200 (45–889)<0.0001
TLE150 (3–556)337 (69–972)<0.0001

Determination of the effect HIV co-morbidities, gender, and increasing age on with CD4 T cell reconstitution
Parameter value

Gender
CD4+ count change after 5 months of TLE/ZLE treatmentMaleFemale
149.7 (21–401)217 (7–516)0.0094
Age group (years)
20 to 40>40
364.5 (45–972)352.1 (76–697)0.3184
TB status
NoYes
190.1 (0–500)211.9 (21–578)0.5717
Hepatitis B status
NoYes
172 (0–578)215.6 (52–319)0.3059
Treatment group
ZLETLE
109.5 (21–275)214 (0–795)<0.0001

Multivariate model to predict the influencing variables on CD4 change after HAART
(8, 78) = 1.03, Prob > , , adjusted
CD4 changeCoefficientStandard error value

Gender−89.99947.207−1.910.060
Age−0.3131.758−0.180.859
Hepatitis B73.77787.5320.840.402
Tuberculosis61.79654.5361.130.261
Baseline CD40.0660.12920.520.607
Baseline Hb15.81411.6821.350.180
Baseline CD8−0.01230.015−0.820.412
Herbs use−46.14542.435−1.090.280

From the table, data is presented as median with range values. TLE: tenofovir, lamivudine, and efavirenz and ZLE: zidovudine, lamivudine, and efavirenz. is significant at 0.05. Mann–Whitney test was used to compare the median CD4 cells count increase between the tenofovir treatment group (TLE) and the zidovudine treatment group (ZLE) and likewise the effect age, gender, and comorbidities at univariate level. The last part of the table is a multivariate regression analysis to identify variables that may predict CD4 T cells count change. is the test-statistic, and is the probability of predictive value of each variable on CD4 T cells count significant at 0.05. measures the degree of correlation between variables with CD4 T cells count change.