Early infant diagnosis HIV-1 PCR cycle-threshold predicts infant viral load at birth

Ahmad Haeri Mazanderani1, Tendesayi Kufa2, Karl G Technau3

  • 1Centre for HIV and STIs, National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa; Department of Medical Virology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.

Insights

Qualitative polymerase chain reaction (PCR) cycle-threshold (Ct) values from early infant diagnosis (EID) tests at birth can predict human immunodeficiency virus type 1 (HIV-1) viral load (VL). This allows for early identification of infants with high VL, crucial for timely intervention.

Area of Science:

  • Pediatric Infectious Diseases
  • Virology
  • Molecular Diagnostics

Background:

  • HIV-1 viral load (VL) is a key predictor of disease progression in untreated children.
  • Current early infant diagnosis (EID) primarily uses qualitative polymerase chain reaction (PCR) assays.

Purpose of the Study:

  • To determine if qualitative EID real-time PCR cycle-threshold (Ct) values obtained at birth can predict HIV-1 VL.
  • To identify specific Ct value thresholds for predicting high VL in neonates.

Main Methods:

  • Secondary analysis of intrauterine HIV-1 infected neonates (n=107) in Johannesburg, South Africa.
  • Utilized EID HIV-1 PCR testing (COBAS AmpliPrep/COBAS TaqMan and Xpert HIV-1 Qualitative assays) and plasma HIV-1 RNA VL testing.
  • Employed Bland-Altman analysis and multivariable linear regression to assess agreement and predict VL based on Ct values.

Main Results:

  • Good correlation (Spearman r=0.9) observed between Ct values of the two EID assays.
  • Each one-cycle increase in Ct value corresponded to a 0.3 log10 decrease in RNA.
  • EID CAP/CTM Ct ≤ 23 and EID Xpert Ct ≤ 31 accurately predicted VL > 5.0 log10 cps/ml in over 82% of cases.

Conclusions:

  • Qualitative EID PCR Ct values at birth are valuable predictors of HIV-1 VL in neonates.
  • Specific Ct value thresholds can reliably identify infants with high viral loads, enabling prompt clinical management.
Abstract

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