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临床试验/NCT04508959
NCT04508959Unknown不适用

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

McMaster University5 个研究点 分布在 1 个国家目标入组 1,500 人开始时间: 2020年4月15日最近更新:
适应症

试验速览

阶段
不适用
入组人数
1,500
试验地点
5
主要终点
Severe infection (requiring admission)

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

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

排除标准

  • 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.

结局指标

主要结局

Severe infection (requiring admission)

时间窗: 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.

COVID-19 related death

时间窗: 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.

Serious COVID-19 infection

时间窗: 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.

次要结局

  • Complications(through study completion, an average of 1 year)
  • Length of stay(through study completion, an average of 1 year)
  • Intensive interventions(through study completion, an average of 1 year)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Andrew Costa

Associate Professor and Schlegel Chair in Clinical Epidemiology & Aging

McMaster University

研究点 (5)

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