Improving Methods for Analyzing Antimalarial Drug Efficacy Trials: Molecular Correction Based on Length-Polymorphic Markers msp-1, msp-2, and glurp

Author:

Jones S.ORCID,Kay K.,Hodel E. M.,Chy S.,Mbituyumuremyi A.,Uwimana A.,Menard D.ORCID,Felger I.,Hastings I.

Abstract

ABSTRACT Drug efficacy trials monitor the continued efficacy of front-line drugs against falciparum malaria. Overestimating efficacy results in a country retaining a failing drug as first-line treatment with associated increases in morbidity and mortality, while underestimating drug effectiveness leads to removal of an effective treatment with substantial practical and economic implications. Trials are challenging: they require long durations of follow-up to detect drug failures, and patients are frequently reinfected during that period. Molecular correction based on parasite genotypes distinguishes reinfections from drug failures to ensure the accuracy of failure rate estimates. Several molecular correction “algorithms” have been proposed, but which is most accurate and/or robust remains unknown. We used pharmacological modeling to simulate parasite dynamics and genetic signals that occur in patients enrolled in malaria drug clinical trials. We compared estimates of treatment failure obtained from a selection of proposed molecular correction algorithms against the known “true” failure rate in the model. Our findings are as follows. (i) Molecular correction is essential to avoid substantial overestimates of drug failure rates. (ii) The current WHO-recommended algorithm consistently underestimates the true failure rate. (iii) Newly proposed algorithms produce more accurate failure rate estimates; the most accurate algorithm depends on the choice of drug, trial follow-up length, and transmission intensity. (iv) Long durations of patient follow-up may be counterproductive; large numbers of new infections accumulate and may be misclassified, overestimating drug failure rate. (v) Our model was highly consistent with existing in vivo data. The current WHO-recommended method for molecular correction and analysis of clinical trials should be reevaluated and updated.

Funder

Malaria Modelling Consortium

Medical Research Council (MRC)

Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation)

UK Research and Innovation | Medical Research Council (MRC)

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Pharmacology (medical),Pharmacology

Reference42 articles.

1. 1. World Health Organization. 2016. World malaria report 2016. World Health Organization, Geneva, Switzerland. https://www.who.int/malaria/publications/world-malaria-report-2016/report/en/.

2. 2. World Health Organization. 2009. Methods for surveillance of antimalarial drug efficacy. World Health Organization, Geneva, Switzerland. https://www.who.int/malaria/publications/atoz/9789241597531/en/.

3. 3. World Health Organization, Malaria for Medicines Venture. 2008. Methods and techniques for clinical trials on antimalarial drug efficacy: genotyping to identify parasite populations. World Health Organization, Geneva, Switzerland. https://www.who.int/malaria/publications/atoz/9789241596305/en/.

4. Quantifying the pharmacology of antimalarial drug combination therapy;Hastings;Sci Rep,2016

5. 5. World Health Organization. 2003. Assessment and monitoring of antimalarial drug efficacy for the treatment of uncomplicated falciparum malaria, p 68. World Health Organization, Geneva, Switzerland. https://www.who.int/malaria/publications/atoz/whohtmrbm200350/en/.

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