Coagulopathy in COVID19 - A Multi-Centre Observational Study in UK

Imperial College London

Status

Unknown

Conditions

Anticoagulation

Thrombosis

COVID

Bleeding

Treatments

Other: Non-interventional

Study type

Observational

Funder types

Other

Identifiers

NCT04405232

20SM5934

Details and patient eligibility

About

A novel Coronavirus (COVID-19) infection leading to pneumonia and severe acute respiratory failure [acute respiratory distress syndrome (ARDS)] and death is a global threat. On 11/03/2020, WHO declared the Covid-19 outbreak a global pandemic. As of 18th of March, there are 202,309 confirmed cases with 8,013 deaths. Patients with severe illness may develop dyspnoea and hypoxemia within 1week after onset, which may quickly progress to ARDS or end-organ failure 1. Based on Chinese data abnormal coagulation parameters (Prolonged Prothrombin time [PT] and raised D dimer) are reported to predict a poor prognosis and may therefore be important therapeutic targets. The number of patients with infected with COVID- 19 in UK is rapidly rising as with many other European countries. Eventually >50% of people will have become infected and COVID-19 will remain a public health threat in the long term. It is therefore very important to understand every aspect of this disease, including the associated coagulopathy leading bleeding, blood clots (thrombosis) and death. Emerging data from Europe and some centres in UK, indicates that venous thromboembolism (VTE), mainly pulmonary embolism (PE), is major problem in COVID patients. In this retrospective-prospective: multicentre study, investigators will document the patient characteristics, presenting haematological parameters and associated comorbidities and their association with bleeding, thrombosis and mortality in patients admitted for hospital treatment. Determining the predictive value of patient characteristics and presenting laboratory measurements for clinical outcomes in these patients will allow us to optimise management of these patients in the future. Furthermore, by comparing these data with data from patients without Covid-19, investigators will be able to modify existing protocols and tailor them to the management of COVID -19.

Enrollment

5,000 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria