How to spot severe asthma patients heading for crisis
Researchers tracking 421 severe asthma patients found that standard quality-of-life questionnaires can predict who will have dangerous exacerbations—offering clinicians a simple tool to intervene early. For health systems and insurers managing expensive asthma cases, this means shifting from reactive crisis care to proactive patient monitoring.
Originaltitel: Clinical importance of patient-reported outcome measures in severe asthma: results from U-BIOPRED
<p>Rationale: Knowledge about the clinical importance of patient-reported outcome measures (PROMs) in severe asthma is limited.</p><p>Objectives: To assess whether and to what extent asthma exacerbations affect changes in PROMS over time and asthma-specific PROMs can predict exacerbations in adult patients with severe asthma in usual care.</p><p>Methods: Data of 421 patients with severe asthma (62% female; mean age 51.9 ± 13.4 years; mean FEV1 67.5 ± 21.3%pred) from the U-BIOPRED cohort were analyzed. The included PROMs were: Asthma Control Questionnaire (ACQ5); Asthma Quality of Life Questionnaire (AQLQ); Hospital Anxiety and Depression scale (HADS); Epworth Sleepiness Scale (ESS); Medication Adherence Report Scale (MARS); Sino-Nasal Outcomes Test (SNOT20). Participants were assessed at baseline and after 12–18 months of usual care.</p><p>Results: PROMs showed very weak to weak correlations with clinical characteristics such as age, body mass index, FEV1, FeNO and eosinophilic cell count. Patients presenting no exacerbations during follow-up showed a statistically significant improvement in all PROMs (except for MARS), whereas individuals experiencing > 2 exacerbations showed a deterioration. Baseline ACQ5 was a predictor of exacerbations with an AUC of 0.590 (95%CI 0.514–0.666).</p><p>Conclusions: The association of PROMs with clinical measures was poor in severe asthmatics. Moreover, PROMs were prone to changes in usual care, with exacerbations playing a key role. PROMs need to be systematically evaluated in severe asthma to improve clinical care based on specific patient’s needs.</p>