Skip to main content
Journal cover image

Growth patterns reflect response to antiretroviral therapy in HIV-positive infants: potential utility in resource-poor settings.

Publication ,  Journal Article
Benjamin, DK; Miller, WC; Ryder, RW; Weber, DJ; Walter, E; McKinney, RE
Published in: AIDS Patient Care STDS
January 2004

Laboratory monitoring of HIV-infected children is the current standard of care in the United States to guide the appropriate use of antiretroviral therapy (ART). Although ART is becoming a reality in some developing countries, laboratory monitoring of ART is costly, necessitating creative approaches to monitoring. As an initial step to guide monitoring of HIV progression in low resource settings, we assessed the utility of the physical examination to predict clinical progression of HIV. We conducted a retrospective cohort study of HIV-infected children using data from Pediatric AIDS Clinical Trials Group Protocol 300. We developed a clinical predictive model, and compared the utility of the clinical model to the change in HIV RNA viral load as diagnostic tests of ART failure. The clinical model incorporated treatment regimen, age, and height velocity: a three-level clinical predictive model provided likelihood ratios of 0.3, 3.9, and 14. For decline in RNA the likelihood ratios were 0.2 (> 1 log decline), 1.4, and 3.5 (> log increase). We developed a simple clinical predictive model that was able to predict clinical progression of HIV after initiation of new ART. The clinical model performed similarly to using changes in HIV RNA viral load. These data should be validated internationally and prospectively, because the test subjects were from a resource rich environment and growth patterns in undernourished children may be impacted differently by HIV and its treatment. The model was most pertinent to children 36 months of age or younger, and was conducted in children receiving monotherapy and dual therapy.

Duke Scholars

Published In

AIDS Patient Care STDS

DOI

ISSN

1087-2914

Publication Date

January 2004

Volume

18

Issue

1

Start / End Page

35 / 43

Location

United States

Related Subject Headings

  • Virology
  • Viral Load
  • Treatment Outcome
  • Retrospective Studies
  • RNA, Viral
  • Predictive Value of Tests
  • Physical Examination
  • Multivariate Analysis
  • Male
  • Logistic Models
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Benjamin, D. K., Miller, W. C., Ryder, R. W., Weber, D. J., Walter, E., & McKinney, R. E. (2004). Growth patterns reflect response to antiretroviral therapy in HIV-positive infants: potential utility in resource-poor settings. AIDS Patient Care STDS, 18(1), 35–43. https://doi.org/10.1089/108729104322740901
Benjamin, D. K., W. C. Miller, R. W. Ryder, D. J. Weber, E. Walter, and R. E. McKinney. “Growth patterns reflect response to antiretroviral therapy in HIV-positive infants: potential utility in resource-poor settings.AIDS Patient Care STDS 18, no. 1 (January 2004): 35–43. https://doi.org/10.1089/108729104322740901.
Benjamin DK, Miller WC, Ryder RW, Weber DJ, Walter E, McKinney RE. Growth patterns reflect response to antiretroviral therapy in HIV-positive infants: potential utility in resource-poor settings. AIDS Patient Care STDS. 2004 Jan;18(1):35–43.
Benjamin, D. K., et al. “Growth patterns reflect response to antiretroviral therapy in HIV-positive infants: potential utility in resource-poor settings.AIDS Patient Care STDS, vol. 18, no. 1, Jan. 2004, pp. 35–43. Pubmed, doi:10.1089/108729104322740901.
Benjamin DK, Miller WC, Ryder RW, Weber DJ, Walter E, McKinney RE. Growth patterns reflect response to antiretroviral therapy in HIV-positive infants: potential utility in resource-poor settings. AIDS Patient Care STDS. 2004 Jan;18(1):35–43.
Journal cover image

Published In

AIDS Patient Care STDS

DOI

ISSN

1087-2914

Publication Date

January 2004

Volume

18

Issue

1

Start / End Page

35 / 43

Location

United States

Related Subject Headings

  • Virology
  • Viral Load
  • Treatment Outcome
  • Retrospective Studies
  • RNA, Viral
  • Predictive Value of Tests
  • Physical Examination
  • Multivariate Analysis
  • Male
  • Logistic Models