Monitoring Pregnant Women for Antimalarial Drug Resistance
NCT ID: NCT05072613
Last Updated: 2023-12-06
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
6833 participants
OBSERVATIONAL
2021-11-11
2023-05-30
Brief Summary
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One of the greatest challenges delaying progress in malaria elimination is antimalarial drug resistance. Recent reports of the emergence of artemisinin-resistant parasites in parts of Africa are the cause of even greater concern, since the loss of frontline treatment efficacy could bring about a dramatic reversal of progress.
Large-scale genetic surveillance of Plasmodium is an effective tool for rapid detection of changes in drug efficacy, enabling countries to switch to effective preventive and curative treatments when necessary. The implementation of genetic surveillance has proven very successful in small, low malaria burden countries. However, in large, high malaria burden countries such implementation is operationally and economically more complex.
Screening pregnant women attending Antenatal Care (ANC) services can be a practical and economical strategy for estimating malariometric parameters, with fewer limitations and challenges than conventional survey methodologies in children. The present study aims to demonstrate that this is also true for the genetic surveillance of antimalarial drug resistance.
Detailed Description
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Conditions
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Keywords
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Study Design
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OTHER
PROSPECTIVE
Study Groups
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Pregnant women
Pregnant women attending Antenatal Care Services
Malaria screening
Participants are screened for malaria and a dried blood spot is collected from malaria positive cases
School children
Children attending Primary Schools
Malaria screening
Participants are screened for malaria and a dried blood spot is collected from malaria positive cases
Interventions
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Malaria screening
Participants are screened for malaria and a dried blood spot is collected from malaria positive cases
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
ALL
Yes
Sponsors
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Kinshasa School of Public Health
OTHER
Wellcome Sanger Institute
OTHER
University of Oxford
OTHER
Responsible Party
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Locations
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Kinshasa Medical Oxford Research Unit
Kinsasa, , Democratic Republic of the Congo
Countries
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References
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Brunner NC, Chacky F, Mandike R, Mohamed A, Runge M, Thawer SG, Ross A, Vounatsou P, Lengeler C, Molteni F, Hetzel MW. The potential of pregnant women as a sentinel population for malaria surveillance. Malar J. 2019 Nov 21;18(1):370. doi: 10.1186/s12936-019-2999-0.
Mayor A, Menendez C, Walker PGT. Targeting Pregnant Women for Malaria Surveillance. Trends Parasitol. 2019 Sep;35(9):677-686. doi: 10.1016/j.pt.2019.07.005. Epub 2019 Aug 5.
van Eijk AM, Hill J, Noor AM, Snow RW, ter Kuile FO. Prevalence of malaria infection in pregnant women compared with children for tracking malaria transmission in sub-Saharan Africa: a systematic review and meta-analysis. Lancet Glob Health. 2015 Oct;3(10):e617-28. doi: 10.1016/S2214-109X(15)00049-2. Epub 2015 Aug 19.
Willilo RA, Molteni F, Mandike R, Mugalura FE, Mutafungwa A, Thadeo A, Benedictor E, Kafuko JM, Kaspar N, Ramsan MM, Mwaipape O, McElroy PD, Gutman J, Colaco R, Reithinger R, Ngondi JM. Pregnant women and infants as sentinel populations to monitor prevalence of malaria: results of pilot study in Lake Zone of Tanzania. Malar J. 2016 Jul 29;15(1):392. doi: 10.1186/s12936-016-1441-0.
Onyamboko M, Wasakul V, Bakomba SB, Kayembe DK, Nzambiwishe BK, Ekombolo PE, Badjanga BB, Maindombe JM, Ngavuka JN, Lwadi BN, Drury E, Ariani C, Goncalves S, Chamsukhee V, Waithira N, Verschuuren TD, Lee SJ, Miotto O, Fanello C. Pregnant women as a sentinel population for genomic surveillance of malaria in the Democratic Republic of the Congo: a population-based study. Lancet Glob Health. 2025 Mar;13(3):e479-e487. doi: 10.1016/S2214-109X(24)00497-2.
Other Identifiers
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548-21
Identifier Type: -
Identifier Source: org_study_id