BioMed Research International / 2013 / Article / Tab 1 / Research Article
Potential Impact of a Free Online HIV Treatment Response Prediction System for Reducing Virological Failures and Drug Costs after Antiretroviral Therapy Failure in a Resource-Limited Setting Table 1 Characteristics of the treatment change episodes in the training and test sets.
Training set RDI test set India TCEs (
) 14,891 800 206 Patients (
) 4,878 800 168 Male 11,006 601 109 Female 2,341 137 97 Median age 40 42 28 Baseline data (
) Median baseline VL (log10 c/mL) 3.77 3.79 4.79 Mean baseline VL (log10 c/mL) 3.74 3.74 4.75 Range of baseline VL (log10 c/mL) 1.71–7.0 1.71–6.01 2.96–6.82 Median baseline CD4 (cells/μ L) 260 260 274 Mean baseline CD4 (cells/μ L) 310 294 357 Treatment history (
) Number of previous drugs (median) 5 5 3 NRTI experience (%) 100% 100% 100% NNRTI experience (%) 68% 67% 100% PI experience (%) 83% 81% 6% Failures (>2.6 log10 c/mL follow-up VL) (
) 6,501 309 74 Percent 44% 39% 36% Responses (
) 8,390 491 132 Percent 56% 61% 64% New Regimens (
) 2NRTI + PI (%) 35% 35% 54% 2NRTI + NNRTI (%) 24% 22% 0% 3NRTIs + PI (%) 17% 19% 46% Other (%) 24% 43% 0%
TCEs: treatment change episodes. VL: viral load. NRTI: nucleoside reverse transcriptase inhibitor. NNRTI: non-nucleoside reverse transcriptase inhibitor. PI: protease inhibitor.
