NCT04470583

Evaluating Clinical Parameters of COVID-19 in Pregnancy

Evaluation of Clinical Parameters Following COVID-19 Infection in Pregnancy (COpregVID)

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 116 (estimated)
• Sponsor: Chelsea and Westminster NHS Foundation Trust · Academic / Other
• Sex: All
• Age: 18 Years – 60 Years
• Healthy volunteers: Accepted

Summary

Coronavirus infection, also known as COVID-19, has become a global pandemic with over 3 million cases and 250,000 deaths worldwide. Coronaviruses (CoV) belong to a family of viruses that predominately infect mammals and birds, affecting their lungs, intestinal tract, liver and nervous systems. Prior to the discovery of the current novel coronavirus strain (SARS-CoV-2), there were six different strains that are known to infect humans, which includes the virus that caused the severe acute respiratory syndrome (SARS) pandemic in 2002. In humans, the majority of severe illness from SARs and COVID-19 is due to inflammation of the lungs and pneumonia. Pregnancy poses a significantly increased risk of viral pneumonia and during SARS more pregnant women required intensive care and breathing support, and the proportion of deaths was higher when compared to non-pregnant adults. Furthermore, kidney failure and development of abnormal blood clotting disorders, which occurs during severe infection, is more common in pregnancy and the associated changes in blood vessels extend to the placentas of infected pregnant women, thus potentially affecting the fetus. This makes pregnant women affected by the virus at high risk of developing severe complications. Fortunately, there have been a number of biomarkers identified that are associated with illness severity. These include, specialised white blood cells, blood clotting cells and constituents, as well as other measures of heart and kidney function. We propose that these biomarkers are important correlates of clinical disease severity and prognosis in pregnant and postnatal women. This knowledge has the potential to help clinicians during this pandemic to better manage and care for their patients.

Detailed description

This study will be a retrospective case review using existing clinical data from participating centres. To date there have already been 18,000 confirmed cases in Greater London. Our study design will aim to include patients who were diagnosed with COVID-19 at the start of the pandemic as well as new and current cases. The study design requires data to be extracted from National Health Service (NHS) electronic and paper notes, which will contain patient identifiable information. For confidentiality, all patient identifiable data will only be collected by members of the direct care team. This data will be encrypted and stored in a local NHS trust computer at participating sites. In order to maintain confidentiality, all data will then be anonymised before being inputted on a data collection tool and spreadsheet. Therefore, research teams will only be provided with a de-identified dataset. This data will be transferred across to the study co-ordination centre, following NHS information governance rules for data to be compiled and analysed. At the co-ordination centre, this data will be stored in an Imperial College London computer, and will only be accessible to the research team.

Conditions

• COVID-19
• 2019 Novel Coronavirus Infection
• COVID-19 Infection

Timeline

• Start date: 2020-10-09
• Primary completion: 2021-11-01
• Completion: 2021-12-02
• First posted: 2020-07-14
• Last updated: 2020-10-12

Locations

2 sites across 1 country: United Kingdom