New Diagnoses of Juvenile Idiopathic Arthritis Early in the COVID-19 Pandemic Analysis of a Large United States Commercial Insurance Database
Published in Journal of Clinical Rheumatology, January 1, 2025 | Online publication on November 12, 2024
Author(s): Sanika Rege, Lauren E Parlett, Amanda L Neikirk, Alicia Iizuka, Yiling Yang, Cecilia Huang, Stephen Crystal, Amy Davidow, Kevin Haynes, Tobias Gerhard, Carlos D Rose, Brian L Strom, Daniel B Horton
DOI: 10.1097/RHU.0000000000002154 | Pubmed ID: 39705125
Abstract
Background/Objective
Little is known about the rates of rheumatic disease diagnosis among children during the COVID-19 pandemic. We examined the impact of the pandemic on the diagnosis of juvenile idiopathic arthritis (JIA) in the United States.
Methods
We performed a historical cohort study using US commercial insurance data (2016–2021) to identify children aged <18 years without prior JIA diagnosis or treatment in the prior ≥12 months. New JIA diagnoses were identified using a combination of ICD-10-CM diagnosis codes, location, and timing of medical services. Crude rates with 95% confidence intervals (CIs) of JIA diagnosis per 100,000 enrolled children per quarter were estimated and stratified by age group, sex, region, JIA type, and uveitis. The incidence rate ratio (95% CI) for JIA diagnosis was estimated using Poisson regression, adjusted for various demographic variables.
Results
From 2018–2021, 643 children were diagnosed with JIA. Crude new JIA diagnoses per 100,000 children per quarter dropped from 2.62 (95% CI, 2.39–2.87) prepandemic to 1.94 (95% CI, 1.66–2.25) during the pandemic. Declines in JIA diagnosis were more apparent in the US Northeast and West regions and among children aged 6–11 years. After adjustment for covariates, JIA diagnoses fell by 30% during the pandemic compared with the prior 3 years (IRR, 0.70; 95% CI, 0.59–0.83).
Conclusions
Compared with the prepandemic period, JIA was diagnosed 30% less often during the early pandemic among commercially insured children in the United States. More research is needed to understand the underlying reasons for these changes in JIA diagnosis and more recent trends.
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Tags
Analytic: poisson regression | incidence
Data Source: pediatric | claims
Research Focus: covid-19 | rheumatic disease
Study Design: historical cohort
Funding Transparency
This work was possible through:
- Grant/Award
Additional details:
- Horton - NIH - R01AR074436 : Antibiotics, Juvenile Idiopathic Arthritis, and Antirheumatic Treatment Response
- Horton - NIH - R01AI158911 : Cohort and biomarkers for COVID-19 severity, natural history, and reinfection
- Kleinman - NIH - R61HD105619 : COVID-19 Network of Networks Expanding Clinical and Translational approaches to Predict Severe Illness in Children (CONNECT to Predict Sick Children)
- Kleinman - NIH - R33HD105619 : COVID-19 Network of Networks Expanding Clinical and Translational approaches to Predict Severe Illness in Children (CONNECT to Predict SIck Children)
- Panettieri Jr - NIH - UL1TR003017 : New Jersey Alliance for Clinical and Translational Science: NJ ACTS
- Panettieri Jr - NIH - UM1TR004789 : NJ ACTS: A Platform for Translational Science in New Jersey
Conflict of interest statement at time of publication:
L.E.P., Y.Y., and A.L.N. are employees of Carelon Research, Inc. L.E.P. has received research support from Sanofi unrelated to this work. K.H. is an employee of Janssen Research & Development. C.D.R. provides consultation to AbbVie and Novartis about therapies for JIA and advises the Department of Health and Human Services on autoimmune vaccine injuries. B.L.S. has consulted for Abbvie, Consumer Healthcare Products Association, and Johnson & Johnson Consumer. D.B.H. has received research funding from Danisco USA Inc, the Childhood Arthritis and Rheumatology Research Alliance, and the Arthritis Foundation, salary support (paid to Rutgers University) from the Childhood Arthritis and Rheumatology Research Alliance, and honorarium related to JIA from the American College of Rheumatology. S.R., A.I., C.H., S.C., A.D., and T.G. have no potential conflicts of interest to declare.
Entry last updated (DMY): 21-12-2024.