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A Collaborative Analysis of Data from Cohorts in Thailand, South Africa, Botswana, and the United Kingdom International Collaborative Study of Pediatric.

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Presentation on theme: "A Collaborative Analysis of Data from Cohorts in Thailand, South Africa, Botswana, and the United Kingdom International Collaborative Study of Pediatric."— Presentation transcript:

1 A Collaborative Analysis of Data from Cohorts in Thailand, South Africa, Botswana, and the United Kingdom International Collaborative Study of Pediatric Diagnostic Tests JULY 19, 2011 Time to DNA-PCR Positivity in Non-Breastfed HIV-Infected Infants (Primarily Non-B HIV Subtype)

2 Background Accurate diagnostic tests to detect HIV infection in infants are critical to ensure early treatment HIV DNA-PCR has imperfect sensitivity in the first two weeks of life Previous studies found that time to HIV DNA-PCR positivity increase by about 15% with ZDV prophylaxis compared with no antiretrovirals (ARV) Impact of combination ARV prophylaxis is not well characterized; no single cohort can adequately address this question

3 Goals Combine data from several cohorts of non- breastfeeding HIV-infected mother-infant pairs  Initial phase: cohorts with primarily non-B HIV subtype Estimate the time to DNA-PCR positivity in non-breastfed HIV-infected infants Assess differences in time to DNA-PCR positivity according to maternal/infant ARV regimen

4 Inclusion/Exclusion Criteria Inclusion criteria:  Infant HIV-infected and has at least one DNA- PCR result before age 3 months  Maternal HIV diagnosis before or within 1 month after birth Excluded diagnostic tests with missing result or missing age at time of blood draw Excluded one infant whose mother’s ARV exposure was unknown

5 Statistical Methods Used methods for interval-censored data  Timing of HIV infection uncertain; in interval between last negative and first positive DNA-PCR test Estimated the cumulative probability of DNA-PCR positivity according to age and ARV  Non-parametric methods; Turnbull algorithm, Wilcoxon test Exploratory regression modeling to adjust for potential confounders  Parametric methods; assumed Weibull distributions with proportional hazards; likelihood ratio test

6 Participating Cohorts CohortCountryBirth Years Number of Infants (Tests) MASHIBotswana2001-2003 33 (91) Infant Diagnostic Study South Africa2001-2003 26 (83) NSHPC/HPAUK (African origin)2000-2008 74 (181) PHPTThailand1997- 2003 177 (678) Thai/CDCThailand1992-1998 122 (370) Total 432 (1403)

7 Infants Grouped by Most Complex Maternal/Infant ARV Infant ARV Prophylaxis Maternal ARV during Trimester of Delivery No ARV Single NRTI sdNVP (+/- ZDV)>3 ARVs No ARV125454 Single NRTI1813782 sdNVP (+/- ZDV)021711 >3 ARVs014220 No ARV = Mother and infant did not receive ARV at any time (n=125) Single NRTI = Mother or infant received single NRTI (n=159) sdNVP (+/- ZDV) = Mother or infant received sdNVP +/- ZDV (n=105) >3 ARVS = Mother or infant received >3 ARVs (n=43)

8 Demographics No ARV (n=125) Single NRTI (n=159) sdNVP +/- ZDV (n=105) >3 ARVs (n=43) Year of Birth 1992-199467000 1996-19993711300 2000-2003124310414 2004-200893129 Country Where HIV Acquired Botswana011202 South Africa00272 Zimbabwe83210 Nigeria4106 Other African Country75021 Thailand105139561

9 Characteristics ( median [25 th -75 th percentile]) No ARV (n=123) Single NRTI (n=159) sdNVP +/- ZDV (n=79) >3 ARVs (n=43) P value (Kruskal- Wallis) Maternal CD4 Near Delivery 410 [290-529] 296 [190-415] 284 [185-424] 290 [149-400] < 0.0001 Maternal Viral Load Near Delivery 67,590 [26,263- 191,174] 14,125 [2,963 – 39,363] 41,496 [12,448 – 94,575] 6,000 [419- 50,666] < 0.0001 Gestational Age at Delivery 39 [35-43] 38 [33-43] 38 [33-43] 37 [30-45] < 0.001 Delivery Type: Vaginal CS no labor/ROM CS with labor/ROM 92% 2% 6% 78% 9% 13% 80% 5% 15% 25% 40% 35% < 0.0001

10 Cumulative Probability of Positive DNA-PCR by Age (Non-Parametric) P value (Wilcoxon) =0.0002 ARV Group Number of infants Birth- 1 day <14 days < 30 days <42 days <90 days <370 days No ARV1250.310.94 1.00 Single NRTI1590.63 0.91 0.961.00 sdNVP +/- ZDV1050.710.82 0.961.00 >3 ARVs430.67 0.790.941.00

11 Cumulative Probability of Positive DNA-PCR by Age (Subset: 143 infants negative at birth or day 1) P value (Wilcoxon) =0.0007 ARV Group Number of infants <14 days <30 days <42 days <90 days <370 days No ARV4800.87 1.00 Single NRTI7000.86 0.971.00 sdNVP+/- ZDV13000.801.00 >3 ARVs1200.35 0.881.00

12 Cumulative Probability of Positive DNA-PCR by Age (Parametric - separate Weibull models, unadjusted)

13 Adjustment for Confounders: Infants who Received ARV (Parametric, Proportional Hazards; HR >1 Means Earlier Positivity) ARV GroupUnadjusted Hazard Ratio [95% CI] Adjusted Hazard Ratio [95% CI] Single NRTI1.44 [1.00 – 2.09]1.44 [0.92-2.28] sdNVP+/- ZDV1.56 [1.06 – 2.30]1.39 [0.84-2.30] >3 ARVs 1.0 P value for ARV Group 0.060.11* *P value for CD4 = 0.80, viral load =0.89, gestational age=0.44, delivery type =0.91

14 Summary and Conclusions Lower DNA-PCR positivity at birth and greater increase in positivity by 14 days of age in HIV- infected, non-breastfed infants who had no ARV vs. those who had maternal or infant ARV  Suggests ARV prevents a large proportion of intrapartum transmission Nonparametric estimates of the probability of DNA- PCR positivity by age differed significantly according to ARV group  Time to DNA-PCR positivity was later with receipt of >3 ARVs than with single NRTI or sd-NVP (+/- ZDV)

15 Summary and Conclusions (2) In preliminary parametric regression modeling, the association between ARV group and time to positivity did not remain statistically significant  However, adjustment did not change the hazard ratios and the confidence intervals were mostly above 1.0  The small number of infants exposed to > 3 ARVs limited the statistical power to detect a difference; further study is needed Our results may have implications for scheduling final HIV PCR diagnostic testing, particularly when resources are limited.

16 International Collaborative Study of Pediatric Diagnostic Tests – Collaborators R. Balasubramanian D.E. Shapiro M.G. Fowler K. Dominguez P. Tookey J. Masters J. Tosswill M. Lallemant N. Ngo-Giang Huang M. McConnell P. Mock G. Sherman S. Lockman V. Novitsky P. Palumbo S. Nesheim B. Bohannon K. Rich M. Hughes We gratefully acknowledge the study participants


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