International Variation in Severe Exacerbation Rates in Patients With Severe Asthma

  • Tae Yoon Lee
  • , David Price
  • , Chandra Prakash Yadav
  • , Rupsa Roy
  • , Laura Huey Mien Lim
  • , Eileen Wang
  • , Michael E. Wechsler
  • , David J. Jackson
  • , John Busby
  • , Liam G. Heaney
  • , Paul E. Pfeffer
  • , Bassam Mahboub
  • , Diahn Warng Perng (Steve)
  • , Borja G. Cosio
  • , Luis Perez-de-Llano
  • , Riyad Al-Lehebi
  • , Désirée Larenas-Linnemann
  • , Mona Al-Ahmad
  • , Chin Kook Rhee
  • , Takashi Iwanaga
  • Enrico Heffler, Giorgio Walter Canonica, Richard Costello, Nikolaos G. Papadopoulos, Andriana I. Papaioannou, Celeste M. Porsbjerg, Carlos A. Torres-Duque, George C. Christoff, Todor A. Popov, Mark Hew, Matthew Peters, Peter G. Gibson, Jorge Maspero, Celine Bergeron, Saraid Cerda, Elvia Angelica Contreras-Contreras, Wenjia Chen, Mohsen Sadatsafavi

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Background: Exacerbation frequency strongly influences treatment choices in patients with severe asthma. Research Question: What is the extent of the variability of exacerbation rate across countries and its implications in disease management? Study Design and Methods: We retrieved data from the International Severe Asthma Registry, an international observational cohort of patients with a clinical diagnosis of severe asthma. We identified patients aged ≥ 18 years who did not initiate any biologics prior to baseline visit. A severe exacerbation was defined as the use of oral corticosteroids for ≥ 3 days or asthma-related hospitalization/ED visit. A series of negative binomial models were applied to estimate country-specific severe exacerbation rates during 365 days of follow-up, starting from a naive model with country as the only variable to an adjusted model with country as a random-effect term and patient and disease characteristics as independent variables. Results: The final sample included 7,510 patients from 17 countries (56% from the United States), contributing to 1,939 severe exacerbations (0.27/person-year). There was large between-country variation in observed severe exacerbation rate (minimum, 0.04 [Argentina]; maximum, 0.88 [Saudi Arabia]; interquartile range, 0.13-0.54), which remained substantial after adjusting for patient characteristics and sampling variability (interquartile range, 0.16-0.39). Interpretation: Individuals with similar patient characteristics but coming from different jurisdictions have varied severe exacerbation risks, even after controlling for patient and disease characteristics. This suggests unknown patient factors or system-level variations at play. Disease management guidelines should recognize such between-country variability. Risk prediction models that are calibrated for each jurisdiction will be needed to optimize treatment strategies.

Original languageEnglish
Pages (from-to)28-38
Number of pages11
JournalChest
Volume166
Issue number1
DOIs
StatePublished - Jul 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s)

Keywords

  • asthma
  • country
  • heterogeneity
  • prediction
  • severe exacerbation

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