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

Authors :
Verrest, Luka
Kip, Anke E
Musa, Ahmed M
Schoone, Gerard J
Schallig, Henk D F H
Mbui, Jane
Khalil, Eltahir A G
Younis, Brima M
Olobo, Joseph
Were, Lilian
Kimutai, Robert
Monnerat, Séverine
Cruz, Isra
Wasunna, Monique
Alves, Fabiana
Dorlo, Thomas P C
Source :
Clinical Infectious Diseases; 9/1/2021, Vol. 73 Issue 5, p775-782, 8p
Publication Year :
2021

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10584838
Volume :
73
Issue :
5
Database :
Complementary Index
Journal :
Clinical Infectious Diseases
Publication Type :
Academic Journal
Accession number :
152352882
Full Text :
https://doi.org/10.1093/cid/ciab124