Background rates of medical events of interest before and during the COVID-19 pandemic: a longitudinal cohort study using claims data

Importance Background rates are critical for contextualising safety signals arising from COVID-19-related interventions in investigational or real-world settings.Objective To estimate background rates of medical events of interest (MEI) for which COVID-19 infection and/or COVID-19 interventions may...

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Main Authors: Victor O Popoola, Daniel Keebler, Michelle Skornicki, Rachel E Sobel, Jackie Lucia, Alexander Breskin, Gulce Askin, Julius Asubonteng, Clarke Patrone, Ping Shao, Andrew Szendrey, Amanda Kong
Format: Article
Language:English
Published: BMJ Publishing Group 2025-06-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/15/6/e098311.full
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author Victor O Popoola
Daniel Keebler
Michelle Skornicki
Rachel E Sobel
Jackie Lucia
Alexander Breskin
Gulce Askin
Julius Asubonteng
Clarke Patrone
Ping Shao
Andrew Szendrey
Amanda Kong
author_facet Victor O Popoola
Daniel Keebler
Michelle Skornicki
Rachel E Sobel
Jackie Lucia
Alexander Breskin
Gulce Askin
Julius Asubonteng
Clarke Patrone
Ping Shao
Andrew Szendrey
Amanda Kong
author_sort Victor O Popoola
collection DOAJ
description Importance Background rates are critical for contextualising safety signals arising from COVID-19-related interventions in investigational or real-world settings.Objective To estimate background rates of medical events of interest (MEI) for which COVID-19 infection and/or COVID-19 interventions may be risk factors in two US claims databases.Design, setting and participants This retrospective cohort study spans the pre-COVID-19 (2018–2019) and COVID-19 (2020–2021) periods. We constructed three cohorts, in each of Inovalon/HealthVerity (Inovalon/HV) and Optum databases: a COVID-19-positive adult cohort (2020–2021), a paediatric cohort (2018–2021) and a high-risk cohort (2018–2021) comprising patients at increased risk for severe COVID-19. Participants were indexed on the day they first qualified to enter each cohort during the study period. Background rates of 17 MEI were estimated per 1000 person-years (PY) with 95% CIs.Main outcomes and measures Annual incidence rates (IRs) of 17 MEI.Results Overall, 758 414 (COVID-19-positive adults; 57.8% women), 12 513 664 (high-risk adults; 56.8% women) and 8 510 627 (paediatric patients; 49.1% women) patients were identified in the HV database. IRs of MEI varied substantially by year, data source, study cohort and duration of follow-up. The IRs of MEI were highest among COVID-19-positive adults and lowest among paediatric patients. For example, IR of myocarditis/pericarditis per 1000 PY was 3.0 (95% CI: 2.6 to 3.4) in the COVID-19-positive adult cohort vs 0.36 (95% CI: 0.34 to 0.37) among high-risk adults and 0.05 (95% CI: 0.05 to 0.06) among paediatric patients. In the COVID-19-positive adult cohort, we observed higher IRs during 90-day follow-up (eg, IR of acute myocardial infarction (AMI) 26.5 (95% CI: 25.3 to 27.7)) vs 365-day follow-up (eg, IR of AMI 20.0 (95% CI: 9.2 to 20.8)) and during 2020 compared with 2021. IRs were higher in the high-risk adult and paediatric populations during the pre-COVID-19 period than during the COVID-19 pandemic.Conclusions Substantial variability was observed in IRs of MEI by study cohort, year, data source and follow-up duration. When generating background rates for contextualising safety signals from COVID-19 interventions, careful consideration must be given to the indicated subpopulation of interest, COVID-19-related temporal variations and data sources.
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spelling doaj-art-36f56e8ff1e64b4fa2bd146e49c612a62025-06-28T02:00:15ZengBMJ Publishing GroupBMJ Open2044-60552025-06-0115610.1136/bmjopen-2024-098311Background rates of medical events of interest before and during the COVID-19 pandemic: a longitudinal cohort study using claims dataVictor O Popoola0Daniel Keebler1Michelle Skornicki2Rachel E Sobel3Jackie Lucia4Alexander Breskin5Gulce Askin6Julius Asubonteng7Clarke Patrone8Ping Shao9Andrew Szendrey10Amanda Kong11Regeneron Pharmaceuticals Inc, Tarrytown, New York, USARegeneron Pharmaceuticals Inc, Tarrytown, New York, USAAetion Inc, New York, New York, USARegeneron Pharmaceuticals Inc, Tarrytown, New York, USAAetion Inc, New York, New York, USARegeneron Pharmaceuticals Inc, Tarrytown, New York, USAAetion Inc, New York, New York, USARegeneron Pharmaceuticals Inc, Tarrytown, New York, USAAetion Inc, New York, New York, USARegeneron Pharmaceuticals Inc, Tarrytown, New York, USAAetion Inc, New York, New York, USAAetion Inc, New York, New York, USAImportance Background rates are critical for contextualising safety signals arising from COVID-19-related interventions in investigational or real-world settings.Objective To estimate background rates of medical events of interest (MEI) for which COVID-19 infection and/or COVID-19 interventions may be risk factors in two US claims databases.Design, setting and participants This retrospective cohort study spans the pre-COVID-19 (2018–2019) and COVID-19 (2020–2021) periods. We constructed three cohorts, in each of Inovalon/HealthVerity (Inovalon/HV) and Optum databases: a COVID-19-positive adult cohort (2020–2021), a paediatric cohort (2018–2021) and a high-risk cohort (2018–2021) comprising patients at increased risk for severe COVID-19. Participants were indexed on the day they first qualified to enter each cohort during the study period. Background rates of 17 MEI were estimated per 1000 person-years (PY) with 95% CIs.Main outcomes and measures Annual incidence rates (IRs) of 17 MEI.Results Overall, 758 414 (COVID-19-positive adults; 57.8% women), 12 513 664 (high-risk adults; 56.8% women) and 8 510 627 (paediatric patients; 49.1% women) patients were identified in the HV database. IRs of MEI varied substantially by year, data source, study cohort and duration of follow-up. The IRs of MEI were highest among COVID-19-positive adults and lowest among paediatric patients. For example, IR of myocarditis/pericarditis per 1000 PY was 3.0 (95% CI: 2.6 to 3.4) in the COVID-19-positive adult cohort vs 0.36 (95% CI: 0.34 to 0.37) among high-risk adults and 0.05 (95% CI: 0.05 to 0.06) among paediatric patients. In the COVID-19-positive adult cohort, we observed higher IRs during 90-day follow-up (eg, IR of acute myocardial infarction (AMI) 26.5 (95% CI: 25.3 to 27.7)) vs 365-day follow-up (eg, IR of AMI 20.0 (95% CI: 9.2 to 20.8)) and during 2020 compared with 2021. IRs were higher in the high-risk adult and paediatric populations during the pre-COVID-19 period than during the COVID-19 pandemic.Conclusions Substantial variability was observed in IRs of MEI by study cohort, year, data source and follow-up duration. When generating background rates for contextualising safety signals from COVID-19 interventions, careful consideration must be given to the indicated subpopulation of interest, COVID-19-related temporal variations and data sources.https://bmjopen.bmj.com/content/15/6/e098311.full
spellingShingle Victor O Popoola
Daniel Keebler
Michelle Skornicki
Rachel E Sobel
Jackie Lucia
Alexander Breskin
Gulce Askin
Julius Asubonteng
Clarke Patrone
Ping Shao
Andrew Szendrey
Amanda Kong
Background rates of medical events of interest before and during the COVID-19 pandemic: a longitudinal cohort study using claims data
BMJ Open
title Background rates of medical events of interest before and during the COVID-19 pandemic: a longitudinal cohort study using claims data
title_full Background rates of medical events of interest before and during the COVID-19 pandemic: a longitudinal cohort study using claims data
title_fullStr Background rates of medical events of interest before and during the COVID-19 pandemic: a longitudinal cohort study using claims data
title_full_unstemmed Background rates of medical events of interest before and during the COVID-19 pandemic: a longitudinal cohort study using claims data
title_short Background rates of medical events of interest before and during the COVID-19 pandemic: a longitudinal cohort study using claims data
title_sort background rates of medical events of interest before and during the covid 19 pandemic a longitudinal cohort study using claims data
url https://bmjopen.bmj.com/content/15/6/e098311.full
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