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Blood Parasite Load as an Early Marker to Predict Treatment Response in Visceral Leishmaniasis in Eastern Africa

  • Luka Verrest
  • , Anke E. Kip
  • , Ahmed M. Musa
  • , Gerard J. Schoone
  • , Henk D. F. H. Schallig
  • , Jane Mbui
  • , Eltahir A. G. Khalil
  • , Brima M. Younis
  • , Joseph Olobo
  • , Lilian Were
  • , Robert Kimutai
  • , S. verine Monnerat
  • , Isra Cruz
  • , Monique Wasunna
  • , Fabiana Alves
  • , Thomas P. C. Dorlo*
  • *Corresponding author for this work
  • Antoni van Leeuwenhoek Hospital
  • University of Khartoum
  • Amsterdam UMC - University of Amsterdam
  • Kenya Medical Research Institute
  • Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda
  • Drugs for Neglected Diseases initiative
  • Drugs for Neglected Diseases initiative (DNDi), Switzerland
  • Tuberculosis Department, Foundation for Innovative New Diagnostics, Geneva, 1202, Switzerland
  • Instituto de Salud Carlos III

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Background: To expedite the development of new oral treatment regimens for visceral leishmaniasis (VL), there is a need for early markers to evaluate treatment response and predict long-term outcomes. Methods: Data from 3 clinical trials were combined in this study, in which Eastern African VL patients received various antileishmanial therapies. Leishmania kinetoplast DNA was quantified in whole blood with real-time quantitative polymerase chain reaction (qPCR) before, during, and up to 6 months after treatment. The predictive performance of pharmacodynamic parameters for clinical relapse was evaluated using receiver-operating characteristic curves. Clinical trial simulations were performed to determine the power associated with the use of blood parasite load as a surrogate endpoint to predict clinical outcome at 6 months. Results: The absolute parasite density on day 56 after start of treatment was found to be a highly sensitive predictor of relapse within 6 months of follow-up at a cutoff of 20 parasites/mL (area under the curve 0.92, specificity 0.91, sensitivity 0.89). Blood parasite loads correlated well with tissue parasite loads (ρ=0.80) and with microscopy gradings of bone marrow and spleen aspirate smears. Clinical trial simulations indicated a > 80% power to detect a difference in cure rate between treatment regimens if this difference was high (> 50%) and when minimally 30 patients were included per regimen. Conclusions: Blood Leishmania parasite load determined by qPCR is a promising early biomarker to predict relapse in VL patients. Once optimized, it might be useful in dose finding studies of new chemical entities.
Original languageEnglish
Pages (from-to)775-782
Number of pages8
JournalClinical infectious diseases
Volume73
Issue number5
DOIs
Publication statusPublished - 1 Sept 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • biomarker
  • parasitemia
  • pharmacodynamics
  • qPCR
  • visceral leishmaniasis

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