Mitochondrial DNA and Nuclear SNPs to Predict Severity of COVID-19 Infection
NCT ID: NCT04750330
Last Updated: 2023-06-15
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
394 participants
OBSERVATIONAL
2021-04-01
2023-06-12
Brief Summary
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Detailed Description
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COVID-19 is currently diagnosed using reverse-transcription polymerase chain reaction (RT-PCR). In the beginning of the pandemic the use of chest computed tomography (CT) was more common, since CT can capture imaging features from the lung associated with COVID-19 early in the course of the disease. However, performing a CT-can takes remarkably longer than current RT-PCR tests. While the epidemic continues, the consequences are slowly becoming more apparent. As the true population infection rate is unknown, the proportion of patients requiring hospital admission is difficult to estimate. In a meta-analysis including 1481 unique publications a pooled rate of ICU admission of 10.9% and the pooled rate of mortality was 4.3%. The negative effects of an ICU stay strongly depend on the length of the stay and include, but are not limited to, risk of lung emboly, severe muscle loss, dysphagia and psychological problems, often necessitating a long period of rehabilitation.
To minimize long-term health consequences early prognosis of the severity of the disease would be beneficial. The link between the severity of COVID-19 and mitochondrial DNA (mtDNA), Nuclear SNPs, imaging features and radiomics has not been studied yet. However, literature about mechanistic insights in the functioning of the immune system and its link to genetic variation, including mtDNA, are promising. In addition, studies focusing on imaging features and radiomics have yielded interesting findings.
Conditions
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Study Design
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CASE_CONTROL
RETROSPECTIVE
Study Groups
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Severe COVID-19
Patients, diagnosed with COVID-19, who were admitted to the Intensive Care Unit (ICU) during hospitalisation
No interventions assigned to this group
Non-severe COVID-19
Patients, diagnosed with COVID-19, who were admitted to the hospital but NOT to the Intensive Care Unit (ICU) during hospitalisation
No interventions assigned to this group
Minor COVID-19
Patients, diagnosed with COVID-19, who were NOT admitted to the hospital and could recover at home
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Age at least 18 years
* Willing and able to provide a saliva sample
* Able to understand the patient study information
* Signed informed consent
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Innovative Medicines Initiative
OTHER
Maastricht University
OTHER
Responsible Party
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Principal Investigators
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Philippe Lambin, Prof. Dr.
Role: PRINCIPAL_INVESTIGATOR
Head of Department of Precision Medicine, Maastricht University
Locations
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Regional Chest Diseases Hospital of Athens <Sotiria>
Athens, , Greece
University of Florence
Florence, , Italy
Centro Hospitalar de Setúbal
Setúbal, , Portugal
Countries
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References
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Related Links
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European Radiology
WHO Coronavirus Disease (COVID-19) Dashboard
Other Identifiers
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COVIDmtDNA1.0
Identifier Type: -
Identifier Source: org_study_id
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