The McMaster Multi-Regional COVID-19 Hospital Case Registry (COREG)

November 21, 2020 updated by: Andrew Costa, McMaster University

A Rapid Research Platform to Inform Prevention & Improve the Clinical Management of COVID-19 Illness for Priority Older Adult Groups: The McMaster Multi-regional Hospital Coronavirus Registry

The McMaster Multi-Regional Hospital Coronavirus Registry (COREG) is a platform that is collecting detailed case data on laboratory confirmed COVID-19 hospital inpatients and outpatients. The COREG platform will provide rapid high-quality evidence to improve the prevention and clinical management of COVID-19 for older adults in Canada, and internationally. The COREG platform will also provide researchers and partners with complete regional level clinical data on COVID-19 cases to inform rapid decision-making and projections, sub-studies, extensions, and linkage for all affected populations.

Study Overview

Detailed Description

Rationale: The novel coronavirus disease of 2019 (COVID-19) is a rapidly evolving pandemic, which poses a major and ongoing threat to health and the health system both globally and locally. While there have been country-specific case series that have offered some guidance on interventions that may be effective; applying them to local settings is problematic, given differences in population density, demographics (including vulnerable sub-populations), economic and political capacity. To this end, local data is needed to better inform on the timing and implementation of specific and targeted interventions to mitigate the spread and impact of the virus immediately, and thereafter. Near real-time information can greatly inform efforts and decisions needed to address resource allocation in response to the dynamic pandemic.

Objectives: The Investigators' aim is to collect data on the impact and burden of COVID-19 that can inform and support real-time local clinical and policy decisions. Specifically, the objectives are to: 1) Create a COVID-19 admission case registry as a local research and quality improvement platform for the COVID-19 pandemic; and 2) Collect data that can inform local pandemic decisions and evaluation, including incidence, vulnerability, complications, and clinical course of COVID-19 patients.

Methods: The investigators have established the McMaster Coronavirus (COVID-19) Registry (COREG), an ISARIC-WHO compatible, comprehensive platform that facilitates uniform data collection of COVID-19. COREG is an extension of the ISARIC-WHO case report form (CRF) designed to capture local information on transmission, disease- burden, course, and outcomes of COVID-19 cases from all COVID-19 charting hospitals in the Waterloo, Hamilton, and Niagara Regions of Ontario, Canada (Population > 1,500,000). COREG is a comprehensive patient registry based retrospective data collection on all suspected and confirmed COVID-19 cases (according to the ISARIC definition) admitted to St. Joseph's Healthcare Hamilton (SJHH), Hamilton Health Sciences (HHS), Grand River Hospital, St. Mary's General Hospital, and the Niagara Health System. The registry includes data abstracted from existing chart data generated during routine clinical care. A waiver of informed consent is granted. Data categories to be collected follow the ISARIC-WHO CRF (https://isaric.tghn.org/covid-19-clinical-research-resources/) and include demographics, co-morbidities, pre-admission medications, signs and symptoms, diagnostic results, in-hospital interventions and health outcomes (medical complications during hospitalization including ICU and death). Cases are identified by the Infection Prevention and Control (IPAC) at each site and records will be accessed remotely and securely by research and medical staff. Extracted data are stored in a secure McMaster hosted REDCap and data server. Data collectors undergo a standardized training. Weekly governance meetings occur between the data collectors, operational leads and clinical site lead at each site to discuss, address and resolve any barriers and inconsistences in data collection and advance the scientific agenda.

Impact: COREG ensures that COVID-19 data collected are standardized and robust and will have a meaningful impact on local decision-making, while also being comparable internationally. COREG will shape consensus recommendations on inpatient management of hospitalized patients with COVID-19. It will be invaluable to local and global research efforts, since linkage to tissue biobanks and other administrative databases can be easily performed to address questions on pathophysiology, long-term outcomes and healthcare burden.

Study Type

Observational

Enrollment (Anticipated)

1500

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Ontario
      • Hamilton, Ontario, Canada, L8L2X2
      • Hamilton, Ontario, Canada, L9C0E3
      • Kitchener, Ontario, Canada, N2G1G3
      • Kitchener, Ontario, Canada, N2M1B2
      • St. Catharines, Ontario, Canada, L2S0A9

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

  • Persons tested positive for SARS-CoV-2 using hospital facilities
  • Patients seen or admitted with confirmed COVID-19 to the hospital

Description

Inclusion Criteria:

  • Persons tested positive for SARS-CoV-2 using hospital facilities
  • Patients seen or admitted with confirmed COVID-19 to the hospital

Exclusion Criteria:

  • The pragmatic nature of the registry warrants the broadest inclusion criteria that are feasible. In keeping with the pragmatic nature of this registry, no exclusions are introduced.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Screened patients
All individuals screened using the hospital's microbiology laboratory.
Outpatient (Emergency Department) cases
All individuals seen in the emergency department who test positive for COVID-19.
Inpatient (General Medical or Intensive Care) cases
All individuals admitted to a general or intensive care bed who test positive for COVID-19.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Serious COVID-19 infection
Time Frame: through study completion, an average of 1 year
Defined as symptomatic hospital outpatients with laboratory confirmed SARS-CoV-2 (based on the ISARIC definition) through the COREG platform.
through study completion, an average of 1 year
Severe infection (requiring admission)
Time Frame: through study completion, an average of 1 year
Defined as persons admitted with laboratory confirmed SARS-CoV-2 (based on the ISARIC definition) available through the COREG platform. We will also conduct sub analyses of hospital acquired COVID-19 also captured in the COREG platform.
through study completion, an average of 1 year
COVID-19 related death
Time Frame: through study completion, an average of 1 year
Defined as persons who died with laboratory confirmed SARS-CoV-2 (based on the ISARIC definition) available through the COREG platform.
through study completion, an average of 1 year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Length of stay
Time Frame: through study completion, an average of 1 year
Days from admission to discharge.
through study completion, an average of 1 year
Complications
Time Frame: through study completion, an average of 1 year
New or increased severity of conditions and syndromes from pre-morbid state.
through study completion, an average of 1 year
Intensive interventions
Time Frame: through study completion, an average of 1 year
Rate of intensive interventions during hospital stay.
through study completion, an average of 1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Rebecca J Kruisselbrink, MD, MPH, FRCPC, McMaster University
  • Principal Investigator: MyLinh Duong, MBBS, MSc, FRACP, McMaster University
  • Principal Investigator: Terence Ho, MD, FRCP, McMaster University
  • Principal Investigator: Andrew P Costa, PhD, McMaster University
  • Principal Investigator: Jennifer Tsang, MD, PhD, FRCPC, McMaster University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 15, 2020

Primary Completion (Anticipated)

July 1, 2021

Study Completion (Anticipated)

July 1, 2021

Study Registration Dates

First Submitted

August 10, 2020

First Submitted That Met QC Criteria

August 10, 2020

First Posted (Actual)

August 11, 2020

Study Record Updates

Last Update Posted (Actual)

November 24, 2020

Last Update Submitted That Met QC Criteria

November 21, 2020

Last Verified

November 1, 2020

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

WHO-ISARIC COVID-19 database (https://isaric.tghn.org/covid-19-clinical-research-resources/).

IPD Sharing Time Frame

Entire registry

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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