Global estimation of anti-malarial drug effectiveness for the treatment of uncomplicated Plasmodium falciparum malaria 1991–2019

Abstract Background Anti-malarial drugs play a critical role in reducing malaria morbidity and mortality, but their role is mediated by their effectiveness. Effectiveness is defined as the probability that an anti-malarial drug will successfully treat an individual infected with malaria parasites un...

Full description

Bibliographic Details
Main Authors: Giulia Rathmes, Susan F. Rumisha, Tim C. D. Lucas, Katherine A. Twohig, Andre Python, Michele Nguyen, Anita K. Nandi, Suzanne H. Keddie, Emma L. Collins, Jennifer A. Rozier, Harry S. Gibson, Elisabeth G. Chestnutt, Katherine E. Battle, Georgina S. Humphreys, Punam Amratia, Rohan Arambepola, Amelia Bertozzi-Villa, Penelope Hancock, Justin J. Millar, Tasmin L. Symons, Samir Bhatt, Ewan Cameron, Philippe J. Guerin, Peter W. Gething, Daniel J. Weiss
Format: Article
Language:English
Published: BMC 2020-10-01
Series:Malaria Journal
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12936-020-03446-8
id doaj-75741e781dc14dad9f176c6bd4bd7be9
record_format Article
collection DOAJ
language English
format Article
sources DOAJ
author Giulia Rathmes
Susan F. Rumisha
Tim C. D. Lucas
Katherine A. Twohig
Andre Python
Michele Nguyen
Anita K. Nandi
Suzanne H. Keddie
Emma L. Collins
Jennifer A. Rozier
Harry S. Gibson
Elisabeth G. Chestnutt
Katherine E. Battle
Georgina S. Humphreys
Punam Amratia
Rohan Arambepola
Amelia Bertozzi-Villa
Penelope Hancock
Justin J. Millar
Tasmin L. Symons
Samir Bhatt
Ewan Cameron
Philippe J. Guerin
Peter W. Gething
Daniel J. Weiss
spellingShingle Giulia Rathmes
Susan F. Rumisha
Tim C. D. Lucas
Katherine A. Twohig
Andre Python
Michele Nguyen
Anita K. Nandi
Suzanne H. Keddie
Emma L. Collins
Jennifer A. Rozier
Harry S. Gibson
Elisabeth G. Chestnutt
Katherine E. Battle
Georgina S. Humphreys
Punam Amratia
Rohan Arambepola
Amelia Bertozzi-Villa
Penelope Hancock
Justin J. Millar
Tasmin L. Symons
Samir Bhatt
Ewan Cameron
Philippe J. Guerin
Peter W. Gething
Daniel J. Weiss
Global estimation of anti-malarial drug effectiveness for the treatment of uncomplicated Plasmodium falciparum malaria 1991–2019
Malaria Journal
Falciparum malaria
Anti-malarial drug effectiveness
Drug quality
Global
author_facet Giulia Rathmes
Susan F. Rumisha
Tim C. D. Lucas
Katherine A. Twohig
Andre Python
Michele Nguyen
Anita K. Nandi
Suzanne H. Keddie
Emma L. Collins
Jennifer A. Rozier
Harry S. Gibson
Elisabeth G. Chestnutt
Katherine E. Battle
Georgina S. Humphreys
Punam Amratia
Rohan Arambepola
Amelia Bertozzi-Villa
Penelope Hancock
Justin J. Millar
Tasmin L. Symons
Samir Bhatt
Ewan Cameron
Philippe J. Guerin
Peter W. Gething
Daniel J. Weiss
author_sort Giulia Rathmes
title Global estimation of anti-malarial drug effectiveness for the treatment of uncomplicated Plasmodium falciparum malaria 1991–2019
title_short Global estimation of anti-malarial drug effectiveness for the treatment of uncomplicated Plasmodium falciparum malaria 1991–2019
title_full Global estimation of anti-malarial drug effectiveness for the treatment of uncomplicated Plasmodium falciparum malaria 1991–2019
title_fullStr Global estimation of anti-malarial drug effectiveness for the treatment of uncomplicated Plasmodium falciparum malaria 1991–2019
title_full_unstemmed Global estimation of anti-malarial drug effectiveness for the treatment of uncomplicated Plasmodium falciparum malaria 1991–2019
title_sort global estimation of anti-malarial drug effectiveness for the treatment of uncomplicated plasmodium falciparum malaria 1991–2019
publisher BMC
series Malaria Journal
issn 1475-2875
publishDate 2020-10-01
description Abstract Background Anti-malarial drugs play a critical role in reducing malaria morbidity and mortality, but their role is mediated by their effectiveness. Effectiveness is defined as the probability that an anti-malarial drug will successfully treat an individual infected with malaria parasites under routine health care delivery system. Anti-malarial drug effectiveness (AmE) is influenced by drug resistance, drug quality, health system quality, and patient adherence to drug use; its influence on malaria burden varies through space and time. Methods This study uses data from 232 efficacy trials comprised of 86,776 infected individuals to estimate the artemisinin-based and non-artemisinin-based AmE for treating falciparum malaria between 1991 and 2019. Bayesian spatiotemporal models were fitted and used to predict effectiveness at the pixel-level (5 km × 5 km). The median and interquartile ranges (IQR) of AmE are presented for all malaria-endemic countries. Results The global effectiveness of artemisinin-based drugs was 67.4% (IQR: 33.3–75.8), 70.1% (43.6–76.0) and 71.8% (46.9–76.4) for the 1991–2000, 2006–2010, and 2016–2019 periods, respectively. Countries in central Africa, a few in South America, and in the Asian region faced the challenge of lower effectiveness of artemisinin-based anti-malarials. However, improvements were seen after 2016, leaving only a few hotspots in Southeast Asia where resistance to artemisinin and partner drugs is currently problematic and in the central Africa where socio-demographic challenges limit effectiveness. The use of artemisinin-based combination therapy (ACT) with a competent partner drug and having multiple ACT as first-line treatment choice sustained high levels of effectiveness. High levels of access to healthcare, human resource capacity, education, and proximity to cities were associated with increased effectiveness. Effectiveness of non-artemisinin-based drugs was much lower than that of artemisinin-based with no improvement over time: 52.3% (17.9–74.9) for 1991–2000 and 55.5% (27.1–73.4) for 2011–2015. Overall, AmE for artemisinin-based and non-artemisinin-based drugs were, respectively, 29.6 and 36% below clinical efficacy as measured in anti-malarial drug trials. Conclusions This study provides evidence that health system performance, drug quality and patient adherence influence the effectiveness of anti-malarials used in treating uncomplicated falciparum malaria. These results provide guidance to countries’ treatment practises and are critical inputs for malaria prevalence and incidence models used to estimate national level malaria burden.
topic Falciparum malaria
Anti-malarial drug effectiveness
Drug quality
Global
url http://link.springer.com/article/10.1186/s12936-020-03446-8
work_keys_str_mv AT giuliarathmes globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT susanfrumisha globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT timcdlucas globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT katherineatwohig globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT andrepython globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT michelenguyen globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT anitaknandi globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT suzannehkeddie globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT emmalcollins globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT jenniferarozier globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT harrysgibson globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT elisabethgchestnutt globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT katherineebattle globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT georginashumphreys globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT punamamratia globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT rohanarambepola globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT ameliabertozzivilla globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT penelopehancock globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT justinjmillar globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT tasminlsymons globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT samirbhatt globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT ewancameron globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT philippejguerin globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT peterwgething globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
AT danieljweiss globalestimationofantimalarialdrugeffectivenessforthetreatmentofuncomplicatedplasmodiumfalciparummalaria19912019
_version_ 1724464361978724352
spelling doaj-75741e781dc14dad9f176c6bd4bd7be92020-11-25T03:56:34ZengBMCMalaria Journal1475-28752020-10-0119111510.1186/s12936-020-03446-8Global estimation of anti-malarial drug effectiveness for the treatment of uncomplicated Plasmodium falciparum malaria 1991–2019Giulia Rathmes0Susan F. Rumisha1Tim C. D. Lucas2Katherine A. Twohig3Andre Python4Michele Nguyen5Anita K. Nandi6Suzanne H. Keddie7Emma L. Collins8Jennifer A. Rozier9Harry S. Gibson10Elisabeth G. Chestnutt11Katherine E. Battle12Georgina S. Humphreys13Punam Amratia14Rohan Arambepola15Amelia Bertozzi-Villa16Penelope Hancock17Justin J. Millar18Tasmin L. Symons19Samir Bhatt20Ewan Cameron21Philippe J. Guerin22Peter W. Gething23Daniel J. Weiss24Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordWorldWide Anti-Malarial Resistance Network (WWARN)Malaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordImperial College LondonMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordWorldWide Anti-Malarial Resistance Network (WWARN)Telethon Kids InstituteMalaria Atlas Project, Big Data Institute, Nuffield Department of Medicine, University of OxfordAbstract Background Anti-malarial drugs play a critical role in reducing malaria morbidity and mortality, but their role is mediated by their effectiveness. Effectiveness is defined as the probability that an anti-malarial drug will successfully treat an individual infected with malaria parasites under routine health care delivery system. Anti-malarial drug effectiveness (AmE) is influenced by drug resistance, drug quality, health system quality, and patient adherence to drug use; its influence on malaria burden varies through space and time. Methods This study uses data from 232 efficacy trials comprised of 86,776 infected individuals to estimate the artemisinin-based and non-artemisinin-based AmE for treating falciparum malaria between 1991 and 2019. Bayesian spatiotemporal models were fitted and used to predict effectiveness at the pixel-level (5 km × 5 km). The median and interquartile ranges (IQR) of AmE are presented for all malaria-endemic countries. Results The global effectiveness of artemisinin-based drugs was 67.4% (IQR: 33.3–75.8), 70.1% (43.6–76.0) and 71.8% (46.9–76.4) for the 1991–2000, 2006–2010, and 2016–2019 periods, respectively. Countries in central Africa, a few in South America, and in the Asian region faced the challenge of lower effectiveness of artemisinin-based anti-malarials. However, improvements were seen after 2016, leaving only a few hotspots in Southeast Asia where resistance to artemisinin and partner drugs is currently problematic and in the central Africa where socio-demographic challenges limit effectiveness. The use of artemisinin-based combination therapy (ACT) with a competent partner drug and having multiple ACT as first-line treatment choice sustained high levels of effectiveness. High levels of access to healthcare, human resource capacity, education, and proximity to cities were associated with increased effectiveness. Effectiveness of non-artemisinin-based drugs was much lower than that of artemisinin-based with no improvement over time: 52.3% (17.9–74.9) for 1991–2000 and 55.5% (27.1–73.4) for 2011–2015. Overall, AmE for artemisinin-based and non-artemisinin-based drugs were, respectively, 29.6 and 36% below clinical efficacy as measured in anti-malarial drug trials. Conclusions This study provides evidence that health system performance, drug quality and patient adherence influence the effectiveness of anti-malarials used in treating uncomplicated falciparum malaria. These results provide guidance to countries’ treatment practises and are critical inputs for malaria prevalence and incidence models used to estimate national level malaria burden.http://link.springer.com/article/10.1186/s12936-020-03446-8Falciparum malariaAnti-malarial drug effectivenessDrug qualityGlobal