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Completed

NCT Number: NCT04750330

Mitochondrial DNA and Nuclear SNPs to Predict Severity of COVID-19 Infection

In December 2019, the first people got infected with COVID-19 in Wuhan, China. Within weeks, this highly infectious disease spread all over the world. Nearly one year later everyone is still trying to battle this disease and facing the consequences it causes. What became clear is that the disease and its severity differs largely between infected people. However, knowledge about who will experience severe COVID-19 and who does not is still unclear. Therefore, the aim of this study is to investigate the prognostic value of certain parameters (mtDNA and CT radiomics signature) for the severity of COVID-19.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Regional Chest Diseases Hospital of Athens <Sotiria>, Athens, Greece

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About this study

In December 2019, the first cases of coronavirus disease 2019 (COVID-19) were diagnosed in Wuhan, China. Within a couple of weeks, the highly contagious disease spread across the world, requiring rapid and drastic measures, unparalleled in recent decades. Currently, there have been approximately 97.8 million cases, including 2.1 million deaths, reported to the WHO (website accessed January 25th, 2021, https://covid19.who.int). Data from published epidemiology and virologic studies show that the virus is mainly passed on by respiratory droplets, by direct contact with infected people, or by contact with contaminated objects and surfaces. The severity of the disease greatly differs between people. It ranges from non-symptomatic contamination or minor symptoms, such as a cold or sore throat, to life-threatening pneumonia and death. Especially, the elderly population and people with underlying comorbidities are vulnerable and experience more severe symptoms. In addition, studies have shown that males have a higher mortality risk.

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Confirmed COVID-19 disease
  • 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

Exclusion criteria

for hospitalized patients

  • Severe illness other than COVID-19 at hospital admission Exclusion criteria for non-hospitalized patients
  • Severe COVID-19 illness leading to death or requiring active treatment without hospital admission

Treatment and study plan

Primary outcomes

  1. COVID-19 Severity

    Time frame: When the patient is discharged from the hospital, up to 2 months

    Severity of COVID-19 classified as 'Severe', 'Non-severe' and 'Minor'

Secondary outcomes

  1. Overall survival of the hospitalized population

    Time frame: When the patient is discharged from the hospital, up to 2 months

    Overall survival of the hospitalized population

Other outcomes

  1. Mitochondrial DNA for prediction of COVID-19 severity

    Time frame: Baseline up to 2 years after having had COVID-19

    Mitochondrial DNA variants (extracted from the saliva-sample)

  2. Nuclear SNPs for prediction of COVID-19 severity

    Time frame: Baseline up to 2 years after having had COVID-19

    Nuclear SNPs, candidate approach (extracted from the saliva-sample)

  3. Radiomic features for COVID-19 severity prediction

    Time frame: Baseline

    Radiomics from chest CT-scan of COVID-19 infected participants

Sponsors and collaborators

Lead sponsor

Maastricht University

Other

Collaborators

  • Innovative Medicines Initiative

Registry information

Acronym: mtDNA-COVID

Important dates

Study start
2021
Primary completion
2023
Study completion
2023
First posted
Feb 11, 2021
Registry last updated
Jun 15, 2023

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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