531 
Evaluation of Clinical and Laboratory Parameters to Predict Viral Response to ART in Uganda
David Meya*1, H Tibenderana1, L John1, L Spacek2, I Namugga1, S Magero1, T Quinn2, R Colebunders3, A Kambugu1, and S Reynolds2
1Infectious Disease Inst, Makerere Univ, Kampala, Uganda; 2NIAID, NIH and Johns Hopkins Univ Sch of Med, Baltimore, MD, US; and 3Inst of Tropical Med, Univ of Antwerp, Belgium
Background: Most Africans are not being monitored for viral
response to ART because of the cost of viral load testing. We assessed a combination
of clinical and laboratory parameters to predict viral status in Kampala, Uganda.
Methods: This was a cross-sectional study of 496 Ugandans
established on non-nucleoside reverse transcriptase inhibitor (NNRTI) -based ART.
Treatment, adherence, and clinical and laboratory parameters were evaluated for
association with virological failure (VF; >400 copies/mL)
and suppression (<400 copies/mL) using logistical
regression. Parameters found to be independently associated with virological status
were combined to produce a failure score. The failure score was then used to create
a monitoring algorithm in which patients are categorized according to “likely” virological status.
Results: Of the total, 65% were female, median age 38
years, and median duration of ART was 13 months; 49 experienced virological failure (9.9%). In univariate
analysis, significantly associated with virological
failure were: a history of non-HAART,
ever paying for treatment, time on ART, any treatment interruption >2 days,
any missed dose in last 30 days, weight loss below baseline, new or poorly
responsive HIV-related symptoms (eg, itchy skin), CD4
fall <baseline and >30% from peak achieved on ART (CD430), and
fall in hemoglobin <baseline. Only 4 patients
(0.8%) suffered a WHO stage 4 event after 6 months of
ART. Multivariate analysis showed treatment interruption (OR 3.6, p = 0.001) and CD430 (OR 3.7,
p = 0.007) as independently
associated. No parameters significantly associated with virological
suppression. ROC characteristics of virological
failure generated from these 2 significant parameters gave AUC of 0.70 (0.61 to
0.78). The monitoring algorithm categorized patients into “failure unlikely”
(according to negative predictive value [NPV] 0 virological
failure) and “status unknown”; 384 were categorized as “failure unlikely” (NPV
= 95%, 91 to 96). Viral load therefore only required for 112 (ie, “status unknown”), but 21 with virological
failure missed (43%). For viral load cut-off of 1000 copies/mL,
NPV = 97% and 13 of 39 virological failure missed (see
the table). If WHO failure criteria were applied to this population, 37 (76%)
patients with virological failure (>400 copies/mL) would be left on ART and 60 with virological
suppression would be switched unnecessarily to second line.
Conclusions: Clinical and laboratory parameters may allow
rationing of viral load testing in resource-limited settings and improve upon currently
available guidelines.
|
Performance of Failure Score (0) for Various Viral Load Cut-offs
(copies/mL)
|
|
Viral load
|
AUC
|
Sensitivity
|
Specificity
|
PPV
|
NPV
|
VF missed
|
|
400
|
0.70
|
57
|
81
|
25
|
95
|
21/49
|
|
1000
|
0.74
|
67
|
81
|
23
|
97
|
13/39
|
|
10,000
|
0.77
|
72
|
80
|
18
|
98
|
8/29
|
|