Evidence map›Paper›PMID 40578892›Full record

ArticleBMJ open2025

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

Victor O Popoola, Daniel Keebler, Michelle Skornicki, Rachel E Sobel, Jackie Lucia, Alexander Breskin, Gulce Askin, Julius Asubonteng, Clarke Patrone, Ping Shao and 2 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Victor O PopoolaRegeneron Pharmaceuticals Inc, Tarrytown, New York, USA Victor.Popoola@regeneron.com.ORCID http://orcid.org/0000-0001-6729-1197
Daniel KeeblerRegeneron Pharmaceuticals Inc, Tarrytown, New York, USA.
Michelle SkornickiAetion Inc, New York, New York, USA.
Rachel E SobelRegeneron Pharmaceuticals Inc, Tarrytown, New York, USA.
Jackie LuciaAetion Inc, New York, New York, USA.
Alexander BreskinRegeneron Pharmaceuticals Inc, Tarrytown, New York, USA.ORCID http://orcid.org/0000-0001-5568-2510
Gulce AskinAetion Inc, New York, New York, USA.
Julius AsubontengRegeneron Pharmaceuticals Inc, Tarrytown, New York, USA.
Clarke PatroneAetion Inc, New York, New York, USA.
Ping ShaoRegeneron Pharmaceuticals Inc, Tarrytown, New York, USA.
Andrew SzendreyAetion Inc, New York, New York, USA.
Amanda KongAetion Inc, New York, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceBackground rates are critical for contextualising safety signals arising from COVID-19-related interventions in investigational or real-world settings.

objectiveTo 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

participantsThis 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.

resultsOverall, 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.

conclusionsSubstantial 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.

Indexed as

COVID-19AdolescentAdultAgedChildChild, PreschoolDatabases, FactualFemaleHumansLongitudinal StudiesMaleMiddle AgedRetrospective StudiesRisk FactorsSARS-CoV-2United StatesAdverse eventsCOVID-19EpidemicsEpidemiology

Identifiers

PMID40578892
PMCPMC12207104

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.