Predicting frequent asthma exacerbations using blood eosinophil count and other patient data routinely available in clinical practice

Lead Investigator:

David Price

Research Team:

  • Andrew M Wilson
  • Alison Chisholm
  • Anna Rigazio
  • Anne Burden
  • Michael Thomas
  • Christine King

Status: Complete

Support:

Short Description:

Purpose: Acute, severe asthma exacerbations can be difficult to predict and thus prevent. Patients who have frequent exacerbations are of particular concern. Practical exacerbation predictors are needed for these patients in the primary-care setting.

Patients and methods: Medical records of 130,547 asthma patients aged 12–80 years from the UK Optimum Patient Care Research Database and Clinical Practice Research Datalink, 1990–2013, were examined for 1 year before (baseline) and 1 year after (outcome) their most recent blood eosinophil count. Baseline variables predictive (P,0.05) of exacerbation in the outcome year were compared between patients who had two or more exacerbations and those who had no exacerbation or only one exacerbation, using uni- and multivariable logistic regression models. Exacerbation was defined as asthma-related hospital attendance/admission (emergency or inpatient) or acute oral corticosteroid (OCS) course.Documents and Publications:

Protocol

Abstracts

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Final Publication

Additional Material