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Published on: January 2, 2009
Immunosuppression and COVID-19 infection in British Columbia: Protocol for a linkage study of population-based
Ana Michelle Avina-Galindo1, Zahra A Fazal1,2, Shelby Marozoff1
1Arthritis Research Canada, Vancouver, Canada.
Insights
This study quantifies COVID-19 infection risk in immunocompromised individuals by linking survey and health data. Findings will inform risk assessment for vulnerable populations during the pandemic.
Area of Science:
- Immunology
- Infectious Diseases
- Public Health
Background:
- The novel coronavirus disease (COVID-19) pandemic continues globally.
- Individuals with weakened immune systems face higher COVID-19 risks.
- Assessing COVID-19 risk in immunocompromised populations is challenging due to data limitations.
Purpose of the Study:
- To quantify the risk of COVID-19 infection associated with immunosuppression.
- To integrate self-reported clinical and behavioral data with administrative health records.
- To better understand COVID-19 risk factors in vulnerable patient groups.
Main Methods:
- Population-based case-control study using administrative and laboratory data from British Columbia, Canada.
- Matching SARS-CoV-2 positive cases with negative and untested controls.
- Administering surveys to collect self-reported data on behavioral variables and linking to administrative health data.
Main Results:
- Conditional logistic regression will be used to analyze the odds of COVID-19 infection.
- Analysis will examine infection risk based on immunosuppressive medication or disease type.
- Survey data will adjust for confounders not present in administrative data.
Conclusions:
- This research aims to provide a more accurate assessment of COVID-19 risk in immunosuppressed individuals.
- Findings will be disseminated through scientific conferences and open-access publications.
- The study prioritizes ethical research practices and patient partner involvement.
Introduction:
Cases of the novel coronavirus disease (COVID-19) continue to spread around the world even one year after the declaration of a global pandemic. Those with weakened immune systems, due to immunosuppressive medications or disease, may be at higher risk of COVID-19. This includes individuals with autoimmune diseases, cancer, transplants, and dialysis patients. Assessing the risk and outcomes of COVID-19 in this population has been challenging. While administrative databases provide data with minimal selection and recall bias, clinical and behavioral data is lacking. To address this, we are collecting self-reported survey data from a randomly selected subsample with and without COVID-19, which will be linked to administrative health data, to better quantify the risk of COVID-19 infection associated with immunosuppression.
Methods And Analysis:
Using administrative and laboratory data from British Columbia (BC), Canada, we established a population-based case-control study of all individuals who tested positive for SARS-CoV-2. Each case was matched to 40 randomly selected individuals from two control groups: individuals who tested negative for SARS-CoV-2 (i.e., negative controls) and untested individuals from the general population (i.e., untested controls). We will contact 1000 individuals from each group to complete a survey co-designed with patient partners. A conditional logistic regression model will adjust for potential confounders and effect modifiers. We will examine the odds of COVID-19 infection according to immunosuppressive medication or disease type. To adjust for relevant confounders and effect modifiers not available in administrative data, the survey will include questions on behavioural variables that influence probability of being tested, acquiring COVID-19, and experiencing severe outcomes.
Ethics And Dissemination:
This study has received approval from the University of British Columbia Clinical Research Ethics Board [H20-01914]. Findings will be disseminated through scientific conferences, open access peer-reviewed journals, COVID-19 research repositories and dissemination channels used by our patient partners.
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