- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05072613
Monitoring Pregnant Women for Antimalarial Drug Resistance (MIRANDA)
Pregnant Women Attending Antenatal Care Services as a Sentinel Population for Antimalarial Drug Resistance Genetic Surveillance in Africa
Annually, malaria affects an estimated 229 million people, causing 409,000 deaths (WHO 2019) mostly in Africa. Despite a substantial decline in malaria-related maternal and child deaths in recent years, progress in controlling malaria has been slower than anticipated and uneven across countries. COVID-19-related disruption of malaria control activities will likely further slow the pace and lead to an even greater burden in the near future.
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.
Study Overview
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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-
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Kinsasa, Congo, The Democratic Republic of the
- Kinshasa Medical Oxford Research Unit
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Pregnancy OR for children age <14 years old and in primary school
Exclusion Criteria:
- Refusal to participate (i.e., consent is not given by the participant for women or by the parents in the case of children)
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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Pregnant women
Pregnant women attending Antenatal Care Services
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Participants are screened for malaria and a dried blood spot is collected from malaria positive cases
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School children
Children attending Primary Schools
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Participants are screened for malaria and a dried blood spot is collected from malaria positive cases
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Compare the frequency of Plasmodium falciparum mutations associated with antimalarial drug resistance in the population of pregnant women with that of children.
Time Frame: 18 months
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Plasmodium falciparum from infected individuals will be sequenced and the frequency of antimalarial drug resistance mutations in pregnant women will be compared with that of children.
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18 months
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Evaluate the acceptability of the intervention
Time Frame: 12 months
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Acceptability will be measured as: 1) the number of women who agree to be tested for malaria, over the number of women who attend the ANC service and 2) via a specially designed questionnaire.
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12 months
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Compare malaria prevalence in pregnant women with that of in children throughout the year.
Time Frame: 12 months
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Malaria prevalence will be measured by Rapid Diagnostic Test and standard malaria microscopy in both populations (pregnant women and children) for a period of 12 months and results compared.
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12 months
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Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- 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.
- 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.
- 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.
- 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.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 548-21
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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