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As the COVID-19 epidemic evolved, presentation of the disease changed substantially.
Due to vaccination, increased natural immunity and new variants, there is a substantial decrease in severe cases, making it difficult to recruit new patients.
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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.
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| Measure | Description | Time Frame |
|---|---|---|
| Malaria Antibody Level | 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 |
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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:
Respiratory rate > 30 cycles/min OR Severe respiratory distress or SpO2 < 90% on room air
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:
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:
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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:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Institut National De Recherche Biomédical (INRB) | Kinshasa | Democratic Republic of the Congo |
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137 cases and 101 controls were included in the trial. Total paired matched case-controls at the end of study: 95 (95 controls and 95 cases).
Baseline characteristics were entered for the matched case-control participants.
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| ID | Title | Description |
|---|---|---|
| FG000 | Cases | Cases are severe COVID-19 cases and comprise inpatients recruited from CTCOs.
|
| FG001 | Controls | Controls are asymptomatic or symptomatic cases without signs of severity:
|
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
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| ID | Title | Description |
|---|---|---|
| BG000 | Cases | Cases are severe COVID-19 cases and comprise inpatients recruited from CTCOs.
|
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Malaria Antibody Level | 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. | Posted | Median | Inter-Quartile Range | fluorescence intensity (log scale) | Day 1 |
|
no adverse events or deaths collected as it is not applicable (no investigational product)
no adverse events or deaths collected as it is not applicable (no investigational product)
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Cases | Cases are severe COVID-19 cases and comprise inpatients recruited from CTCOs.
|
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Carolien Hoof | Insitute of Tropical Medicine | +32470102562 | choof@itg.be |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot | Yes | No | No | Study Protocol | Jul 12, 2021 | May 22, 2024 | Prot_000.pdf |
| SAP | No | Yes | No | Statistical Analysis Plan | Jun 20, 2022 | May 22, 2024 | SAP_001.pdf |
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| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| D008288 | Malaria |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
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| BG001 | Controls | Controls are asymptomatic or symptomatic cases without signs of severity:
|
| BG002 | Total | Total of all reporting groups |
| Participants |
|
| Age, Continuous | Median | Inter-Quartile Range | years |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Race (NIH/OMB) | Count of Participants | Participants |
|
| Civil status | Count of Participants | Participants |
|
| Level of education | Count of Participants | Participants |
|
| Occupation | Count of Participants | Participants |
|
| Health Zone of Kinshasa | Count of Participants | Participants |
|
|
|
|
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| EG001 | Controls | Controls are asymptomatic or symptomatic cases without signs of severity:
| 0 | 0 | 0 | 0 | 0 | 0 |
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| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D011528 | Protozoan Infections |
| D010272 | Parasitic Diseases |
| D000096724 | Mosquito-Borne Diseases |
| D000079426 | Vector Borne Diseases |