Malaria as a Protection Factor Against Severe COVID-19 (Known as SARS-COV-2) in the Democratic Republic of Congo (Palu-COVID) (Palu-COVID)

October 16, 2024 updated by: Institute of Tropical Medicine, Belgium

Malaria as a Protection Factor Against Severe COVID-19 in the Democratic Republic of Congo (Palu-COVID)

In this study, the investigators will explore the reasons for the apparently lower proportion of severe COVID-19 cases in many sub-Sahara African countries. Indeed, despite fragile health care systems, the burden of COVID-19 on the African continent seems substantially lower than initially feared. Many potential reasons for this discrepancy have been formulated: the different population age structure, experience of African nations with previous pandemics, warmer climate, and genetic preposition. However, another compelling hypothesis is that of trained immunity by endemic pathogens, such as plasmodia. According to this hypothesis, innate immune activation by endemic pathogens would prime a more robust initial innate immune response to SARS-CoV-2 and could therefore protect against severe COVID-19.

To explore this, the investigators propose conducting a case-control study in Kinshasa, in the Democratic Republic of the Congo (DRC). Kinshasa is an area with mixed prevalence of malaria and the area in DRC most affected by COVID-19. In this setting, the investigators will compare cases of severe COVID-19 with controls that have non-severe COVID-19 and that are matched for age, sex, and health zone. The aim is to compare pre-existing immunity against malaria, both cellular and humoral between the two groups.

Study Overview

Status

Terminated

Conditions

Study Type

Observational

Enrollment (Actual)

238

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

This case-control study will be conducted in the Republic of Congo in the city of Kinshasa, the epicenter of COVID-19. Kinshasa is a malaria endemic area, the distribution of malaria prevalence is lower in urban areas compared to peri-urban areas. Indeed, the city of Kinshasa is structured in four health districts and sixteen hospitals, distributed in the thirty-five Health Zones for the management of COVID-19.

The study will consist of cases and controls:

  • Cases will be severe COVID-19 cases that will consist of patients hospitalized and recruited in COVID-19 Treatment Centers.
  • Controls will consist of asymptomatic or symptomatic cases without signs of severity. For each case, two controls will be recruited after having been matched in terms of age, gender and health zone of origin.

Description

INCLUSION CRITERIA

To be eligible, study patients must meet the following criteria:

For cases:

  • Be at least 18 years of age
  • Have an RT-PCR or Antigenic Rapid Test confirmed SARS-CoV-2 infection within 72 hours prior to inclusion.
  • Have given informed consent or that of their guardian/ representative to participate in the study.
  • Diagnosed as a severe COVID-19 case according to the following criteria:

    • Presenting clinical signs of pneumonia: fever, cough, dyspnea or crepitations AND
    • Presenting at least one of the following signs:

Respiratory rate > 30 cycles/min OR Severe respiratory distress or SpO2 < 90% on room air

  • Be admitted to a care unit for COVID-19
  • Residing in the health zone for at least 6 months

For controls:

  • Be at least 18 years of age
  • Have a PCR or Antigenic Rapid Test-confirmed SARS-CoV-2 infection within 72 hours prior to inclusion
  • Have given informed consent to participate in the study
  • Diagnosed as a non-severe COVID-19 case according to the following criteria:

    • Be asymptomatic OR
    • Symptomatic, but no evidence of severe pneumonia Respiratory rate > 30 cycles/min OR Severe respiratory distress or SpO2 < 90% on room air
  • Reside in the study health area for at least 6 months
  • Recruited within 10 weeks following the matched cases

EXCLUSION CRITERIA

To be eligible, study patients cannot meet the following criteria for cases and controls:

  • Subject has a contraindication to venipuncture, as determined by clinical judgment
  • Subject is vaccinated against SARS-CoV-2
  • Subject has been infected with SARS-CoV-2 in the past and now presents with reinfection

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Malaria Antibody Level
Time Frame: Day 1

Malaria antibody level in severe and non-severe COVID-19 cases. This level will be assessed by measuring the concentration of IgG against Circum Sporozoite Protein (CSP) using the Luminex- MAGPIX, which is expressed in fluorescence intensity.

Analysis of Conditional Maximum Likelihood Estimates.

Day 1

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Anti-malaria IgG antibody levels
Time Frame: Day 1
Anti-malaria IgG antibody levels to other antigens: AMAI, CSPM, GLURP, Pf/RESA55, and IgM antibodies
Day 1
The cellular response against malaria
Time Frame: Day 1
The cellular response against malaria between severe and non-severe COVID-19 cases as measured by IFN-y ELISPOT
Day 1
Proportions of acute malaria infection
Time Frame: Day 1
Proportions of acute malaria infection between severe and non-severe cases of COVID-19 using the Thick Drop and Rapid Diagnostic Test
Day 1
Clinical characteristics
Time Frame: Day 1
Clinical characteristics (symptoms duration) of severe and non-severe COVID-19 cases with and without malaria
Day 1
Clinical characteristics
Time Frame: Day 1
Clinical characteristics (type of symptoms) of severe and non-severe COVID-19 cases with and without malaria
Day 1
Clinical characteristics
Time Frame: Day 1
Clinical characteristics (height) of severe and non-severe COVID-19 cases with and without malaria
Day 1
Clinical characteristics
Time Frame: Day 1
Clinical characteristics (weight) of severe and non-severe COVID-19 cases with and without malaria
Day 1
Clinical characteristics
Time Frame: Day 1
Clinical characteristics (blood pressure) of severe and non-severe COVID-19 cases with and without malaria
Day 1
Clinical characteristics
Time Frame: Day 1
Clinical characteristics (heart rate) of severe and non-severe COVID-19 cases with and without malaria
Day 1
Clinical characteristics
Time Frame: Day 1
Clinical characteristics (respiratory rate) of severe and non-severe COVID-19 cases with and without malaria
Day 1
Clinical characteristics
Time Frame: Day 1
Clinical characteristics (temperature) of severe and non-severe COVID-19 cases with and without malaria
Day 1
Clinical characteristics
Time Frame: Day 1
Clinical characteristics (spleen size) of severe and non-severe COVID-19 cases with and without malaria
Day 1
Clinical characteristics
Time Frame: Day 1
Clinical characteristics (free oxygen saturation) of severe and non-severe COVID-19 cases with and without malaria
Day 1
Clinical status
Time Frame: Day 1
Clinical status according to WHO scale of severe and non-severe COVID-19 cases with and without malaria
Day 1
SARS-COV-2 specific cellular response
Time Frame: Day 1
SARS-COV-2 specific cellular (INF-y measure by ELISPOT) immune response of severe and non-severe cases
Day 1
SARS-COV-2 specific humoral immune response
Time Frame: Day 1
SARS-COV-2 specific humoral (Malaria antibodies & antigens measured by Luminex) immune response of severe and non-severe cases
Day 1
SARS-COV-2 specific humoral immune response
Time Frame: Day 1
SARS-COV-2 specific humoral (Covid-19 antibodies & antigens measured by Luminex) immune response of severe and non-severe cases
Day 1
Antiviral cytokine release levels
Time Frame: Day 1
Antiviral cytokine (CXCL10 measure by ELISA) release levels, measured by ELISA and flow cytometry, of peripheral blood monocytes from controls and patients with acute malaria infection
Day 1
Antiviral cytokine release levels
Time Frame: Day 1
Antiviral cytokine (IFN type I measure by ELISA) release levels, measured by ELISA and flow cytometry, of peripheral blood monocytes from controls and patients with acute malaria infection
Day 1

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 4, 2021

Primary Completion (Actual)

August 17, 2022

Study Completion (Actual)

August 17, 2022

Study Registration Dates

First Submitted

July 20, 2021

First Submitted That Met QC Criteria

August 17, 2021

First Posted (Actual)

August 19, 2021

Study Record Updates

Last Update Posted (Actual)

October 17, 2024

Last Update Submitted That Met QC Criteria

October 16, 2024

Last Verified

October 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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