Investigating the Relationship Between Musculoskeletal Post-COVID Sequelae and Acute COVID-19 Characteristics and Co-morbidities

  • Funded by Canadian Institutes of Health Research (CIHR)
  • Total publications:0 publications

Grant number: 488141

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Key facts

  • Disease

    COVID-19
  • start year

    2022
  • Known Financial Commitments (USD)

    $13,021.09
  • Funder

    Canadian Institutes of Health Research (CIHR)
  • Principal Investigator

    Eje Chizaram
  • Research Location

    Canada
  • Lead Research Institution

    University of Western Ontario
  • Research Priority Alignment

    N/A
  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Disease pathogenesis

  • Special Interest Tags

    N/A

  • Study Type

    Clinical

  • Clinical Trial Details

    Unspecified

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

Post-acute COVID Syndrome (PACS), also known as Long COVID refers to the persistence of symptoms after acute COVID infection and there is yet to be a strong scientific consensus on how exactly it may be characterized. Musculoskeletal (MSK) symptoms such as myalgia, arthralgia and fatigue/muscle weakness are some of the most frequently reported symptoms of PACS. Research indicates that the severity of post-COVID sequelae observed in patients is associated with the presence of pre-existing comorbidities. Some literature also speculates that hospitalization and ventilation may play a role in the occurrence of PACS symptoms. The proposed research aims to investigate the relationship between musculoskeletal post-COVID sequelae and the presence of pre-existing comorbidities in adults who were confirmed positive for COVID-19. The study will be a retrospective cohort study that utilizes clinical data from the National COVID Cohort Collaborative (N3C) data enclave on adult patients in the United States who have been diagnosed with COVID-19. Sex-specific multivariate logistic regression models adjusting for baseline covariates will be utilized to test associations between musculoskeletal symptoms and both the comorbidities and the characteristics of COVID-19 infection (e.g severity, duration, and care). Additionally, a survival analysis will be used to analyze time to the occurrence of MSK symptoms, adjusting for baseline covariates. Primary outcomes will be incident musculoskeletal post-acute COVID sequelae including myalgia, arthralgia, and fatigue. Through investigating this relationship, the proposed research aims to fill in some of the many knowledge gaps surrounding COVID-19 infection, particularly, its longer-term health implications.