The Relationship Between 24-Hour Symptoms and COPD Exacerbations and Healthcare Resource Use: Results from an Observational Study (ASSESS)

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  • Marc Miravitlles
  • Heinrich Worth
  • Juan José Soler-Cataluña
  • David Price
  • Fernando De Benedetto
  • Nicolas Roche
  • Godtfredsen, Nina
  • Thys van der Molen
  • Claes-Göran Löfdahl
  • Laura Padullés
  • Anna Ribera

This observational study assessed the relationship between nighttime, early-morning and daytime chronic obstructive pulmonary disease (COPD) symptoms and exacerbations and healthcare resource use. COPD symptoms were assessed at baseline in patients with stable COPD using a standardised questionnaire during routine clinical visits. Information was recorded on exacerbations and healthcare resource use during the year before baseline and during a 6-month follow-up period. The main objective of the analysis was to determine the predictive nature of current symptoms for future exacerbations and healthcare resource use. 727 patients were eligible (65.8% male, mean age: 67.2 years, % predicted forced expiratory volume in 1 second: 52.8%); 698 patients (96.0%) provided information after 6 months. Symptoms in any part of the day were associated with a prior history of exacerbations (all p < 0.05) and nighttime and early-morning symptoms were associated with the frequency of primary care visits in the year before baseline (both p < 0.01). During follow-up, patients with baseline symptoms during any part of the 24-hour day had more exacerbations than patients with no symptoms in each period (all p < 0.05); there was also an association between 24-hour symptoms and the frequency of primary care visits (all p ≤ 0.01). Although there was a significant association between early-morning and daytime symptoms and exacerbations during follow-up (both p < 0.01), significance was not maintained when adjusted for potential confounders. Prior exacerbations were most strongly associated with future risk of exacerbation. The results suggest 24-hour COPD symptoms do not independently predict future exacerbation risk.

Original languageEnglish
JournalC O P D
Volume13
Issue number5
Pages (from-to)561-568
Number of pages8
ISSN1541-2555
DOIs
Publication statusPublished - Oct 2016
Externally publishedYes

    Research areas

  • Journal Article

ID: 174822297