Childhood asthma diagnoses declined during the COVID-19 pandemic in the United States.


Journal

Respiratory research
ISSN: 1465-993X
Titre abrégé: Respir Res
Pays: England
ID NLM: 101090633

Informations de publication

Date de publication:
10 Mar 2023
Historique:
received: 16 02 2023
accepted: 28 02 2023
entrez: 10 3 2023
pubmed: 11 3 2023
medline: 15 3 2023
Statut: epublish

Résumé

Prior studies have documented declines in pediatric asthma exacerbations and asthma-related health care utilization during the COVID-19 pandemic, but less is known about the incidence of asthma during the pandemic. We conducted a retrospective cohort study of children under age 18 without a prior diagnosis of asthma within a large US commercial claims database. Incident asthma was defined using a combination of diagnosis codes, location of services, and medication dispensing. Crude quarterly rates of asthma diagnosis per 1000 children were calculated, and the incidence rate ratio and 95% confidence interval were estimated for newly diagnosed asthma during versus before the pandemic using negative binomial regression, adjusted for age, sex, region, and season. Compared with 3 years prior to the pandemic, crude incident diagnosis rates of asthma decreased by 52% across the first four quarters of the US pandemic. The covariate-adjusted pandemic-associated incidence rate ratio was 0.47 (95% confidence interval 0.43, 0.51). New diagnoses of childhood asthma in the US declined by half during the first year of the pandemic. These findings raise important questions whether pandemic-related changes in infectious or other triggers truly altered the incidence of childhood asthma beyond the well-described disruptions in healthcare access.

Sections du résumé

BACKGROUND BACKGROUND
Prior studies have documented declines in pediatric asthma exacerbations and asthma-related health care utilization during the COVID-19 pandemic, but less is known about the incidence of asthma during the pandemic.
METHODS METHODS
We conducted a retrospective cohort study of children under age 18 without a prior diagnosis of asthma within a large US commercial claims database. Incident asthma was defined using a combination of diagnosis codes, location of services, and medication dispensing. Crude quarterly rates of asthma diagnosis per 1000 children were calculated, and the incidence rate ratio and 95% confidence interval were estimated for newly diagnosed asthma during versus before the pandemic using negative binomial regression, adjusted for age, sex, region, and season.
RESULTS RESULTS
Compared with 3 years prior to the pandemic, crude incident diagnosis rates of asthma decreased by 52% across the first four quarters of the US pandemic. The covariate-adjusted pandemic-associated incidence rate ratio was 0.47 (95% confidence interval 0.43, 0.51).
CONCLUSIONS CONCLUSIONS
New diagnoses of childhood asthma in the US declined by half during the first year of the pandemic. These findings raise important questions whether pandemic-related changes in infectious or other triggers truly altered the incidence of childhood asthma beyond the well-described disruptions in healthcare access.

Identifiants

pubmed: 36899362
doi: 10.1186/s12931-023-02377-7
pii: 10.1186/s12931-023-02377-7
pmc: PMC9999066
doi:

Types de publication

Letter

Langues

eng

Sous-ensembles de citation

IM

Pagination

72

Subventions

Organisme : NIAMS NIH HHS
ID : R01 AR074436
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR003017
Pays : United States
Organisme : Office of Extramural Research, National Institutes of Health
ID : R01AR074436
Organisme : Office of Extramural Research, National Institutes of Health
ID : UL1TR003017

Informations de copyright

© 2023. The Author(s).

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Auteurs

Daniel B Horton (DB)

Department of Pediatrics, Rutgers Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA. daniel.horton@rutgers.edu.
Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Rutgers University, Piscataway, NJ, USA. daniel.horton@rutgers.edu.
Center for Pharmacoepidemiology and Treatment Science, Institute for Health, Health Care Policy and Aging Research, Rutgers University, 112 Paterson Street, New Brunswick, NJ, 08901, USA. daniel.horton@rutgers.edu.

Amanda L Neikirk (AL)

HealthCore Inc., Wilmington, DE, USA.

Yiling Yang (Y)

HealthCore Inc., Wilmington, DE, USA.

Cecilia Huang (C)

Center for Pharmacoepidemiology and Treatment Science, Institute for Health, Health Care Policy and Aging Research, Rutgers University, 112 Paterson Street, New Brunswick, NJ, 08901, USA.

Reynold A Panettieri (RA)

Rutgers Institute for Translational Medicine and Science, New Brunswick, NJ, USA.
Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.

Stephen Crystal (S)

Rutgers Center for Health Services Research, Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA.
School of Social Work, Rutgers University, New Brunswick, NJ, USA.

Brian L Strom (BL)

Center for Pharmacoepidemiology and Treatment Science, Institute for Health, Health Care Policy and Aging Research, Rutgers University, 112 Paterson Street, New Brunswick, NJ, 08901, USA.
Rutgers Biomedical and Health Sciences, Newark, NJ, USA.

Lauren E Parlett (LE)

HealthCore Inc., Wilmington, DE, USA.

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Classifications MeSH