Optimising Resource Allocation Via Prediction of Outcomes for Covid-19

NCT04473105 | Completed

• 1 other identifier: 20GA039
• Study Type: observational
• Target: 11,134
• Locations: 1 country
• Sites: 1

Brief Summary

The investigators plan to use all of the information available within their local NHS hospitals Trust to work out what happens to people admitted with both suspected and proven Covid-19 infections. The investigators will use all of the information that they can to provide the most evidence possible to use in their investigation as this will make the results more accurate. This will include information on existing health conditions (e.g. by looking at previous discharge letters, GP summaries), clinical observations recorded in the hospital (e.g. temperature, blood pressure, pulse, oxygen levels) and laboratory measures (e.g. blood markers of infection). The investigators experienced team will then analyse all of this together with information about whether the person has Covid-19 to help work out what any new patients' risk will be. To do this the investigators need to use individual patients' information, however once removed from the hospital records system it will not be identifiable and will be held securely within the hospital at all times. As a result of this work the investigators plan to be able to do two things:

1. 1.When a patient is admitted to hospital with possible or confirmed Covid-19 the investigators will be able to make a highly accurate prediction of what is likely to happen to them (e.g. being admitted to high dependency or intensive care, dying or surviving to discharge) which will help health care professional make decisions about their care.
2. 2.By knowing what is likely to happen to a patient the investigators are able to make informed decisions about how to distribute healthcare resources e.g. which areas are likely to need more ventilators (machines to help with breathing), need for intensive care beds, discharge planning.

Conditions

COVID19

Keywords

prognostic score; ventilation; mortality; early discharge

Outcome Measures

Primary Outcomes (1)

• Ventilation

  The need to ventilate the patient

  During admission up to 3 months

Secondary Outcomes (1)

• Death

  During admission or within 30 days

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

All patients meeting above criteria during the study period and prior to it for whom follow up to 30 days can be completed during the period (i.e. admissions until 30 days prior to study closes)

You may qualify if:

• All patients admitted to Nottingham University Hospitals Trust either suspected of having Covid-19 infection or in whom the diagnosis is eventually confirmed and who are over the age of 18 years

You may not qualify if:

• Aged under 18.

Sponsors & Collaborators

• Nottingham University Hospitals NHS Trust: lead
• East Midlands Academic Health Sciences Network: collaborator

Study Sites (1)

Nottingham University Hospitals NHS Trust

Nottingham, NG7 2UH, United Kingdom

Location

MeSH Terms

Conditions

COVID-19; Respiratory Aspiration

Condition Hierarchy (Ancestors)

Pneumonia, Viral; Pneumonia; Respiratory Tract Infections; Infections; Virus Diseases; Coronavirus Infections; Coronaviridae Infections; Nidovirales Infections; RNA Virus Infections; Lung Diseases; Respiratory Tract Diseases; Respiration Disorders; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Officials

• Timothy R Card, FRCP, PhD

  University of Nottingham

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: May 20, 2020
• First Posted: July 16, 2020
• Study Start: May 1, 2020
• Primary Completion: December 31, 2021
• Study Completion: March 31, 2022
• Last Updated: April 9, 2024

Record last verified: 2024-04

Data Sharing

• IPD Sharing: Will not share

Locations

GB (1)