Immunosuppression and COVID-19 infection in British Columbia: Protocol for a linkage study of population-based administrative and self-reported survey data.

<h4>Introduction</h4>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. Thi...

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Autores principales:	Ana Michelle Avina-Galindo, Zahra A Fazal, Shelby Marozoff, Jessie Kwan, Na Lu, Alison M Hoens, Jacek Kopec, Diane Lacaille, Hui Xie, Jonathan M Loree, J Antonio Avina-Zubieta, SCOUT team
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b11462abd32b4a4091b3efbe53ff7b0f
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spelling	oai:doaj.org-article:b11462abd32b4a4091b3efbe53ff7b0f2021-12-02T20:12:41ZImmunosuppression and COVID-19 infection in British Columbia: Protocol for a linkage study of population-based administrative and self-reported survey data.1932-620310.1371/journal.pone.0259601https://doaj.org/article/b11462abd32b4a4091b3efbe53ff7b0f2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0259601https://doaj.org/toc/1932-6203<h4>Introduction</h4>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.<h4>Methods and analysis</h4>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.<h4>Ethics and dissemination</h4>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.Ana Michelle Avina-GalindoZahra A FazalShelby MarozoffJessie KwanNa LuAlison M HoensJacek KopecDiane LacailleHui XieJonathan M LoreeJ Antonio Avina-ZubietaSCOUT teamPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11, p e0259601 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ana Michelle Avina-Galindo Zahra A Fazal Shelby Marozoff Jessie Kwan Na Lu Alison M Hoens Jacek Kopec Diane Lacaille Hui Xie Jonathan M Loree J Antonio Avina-Zubieta SCOUT team Immunosuppression and COVID-19 infection in British Columbia: Protocol for a linkage study of population-based administrative and self-reported survey data.
description	<h4>Introduction</h4>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.<h4>Methods and analysis</h4>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.<h4>Ethics and dissemination</h4>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.
format	article
author	Ana Michelle Avina-Galindo Zahra A Fazal Shelby Marozoff Jessie Kwan Na Lu Alison M Hoens Jacek Kopec Diane Lacaille Hui Xie Jonathan M Loree J Antonio Avina-Zubieta SCOUT team
author_facet	Ana Michelle Avina-Galindo Zahra A Fazal Shelby Marozoff Jessie Kwan Na Lu Alison M Hoens Jacek Kopec Diane Lacaille Hui Xie Jonathan M Loree J Antonio Avina-Zubieta SCOUT team
author_sort	Ana Michelle Avina-Galindo
title	Immunosuppression and COVID-19 infection in British Columbia: Protocol for a linkage study of population-based administrative and self-reported survey data.
title_short	Immunosuppression and COVID-19 infection in British Columbia: Protocol for a linkage study of population-based administrative and self-reported survey data.
title_full	Immunosuppression and COVID-19 infection in British Columbia: Protocol for a linkage study of population-based administrative and self-reported survey data.
title_fullStr	Immunosuppression and COVID-19 infection in British Columbia: Protocol for a linkage study of population-based administrative and self-reported survey data.
title_full_unstemmed	Immunosuppression and COVID-19 infection in British Columbia: Protocol for a linkage study of population-based administrative and self-reported survey data.
title_sort	immunosuppression and covid-19 infection in british columbia: protocol for a linkage study of population-based administrative and self-reported survey data.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/b11462abd32b4a4091b3efbe53ff7b0f
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Immunosuppression and COVID-19 infection in British Columbia: Protocol for a linkage study of population-based administrative and self-reported survey data.

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