• Emerg Med J · Oct 2014

    Randomized Controlled Trial Multicenter Study

    Prediction of unsuccessful treatment in patients with severe acute asthma.

    • Steve Goodacre, Mike Bradburn, Judith Cohen, Alasdair Gray, Jonathan Benger, Tim Coats, and 3Mg Research Team.
    • School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
    • Emerg Med J. 2014 Oct 1; 31 (e1): e40-5.

    BackgroundClinical assessment can be used to identify which patients with acute asthma are at risk of unsuccessful initial treatment.ObjectiveTo determine which elements of clinical assessment predict unsuccessful treatment, defined as needing critical care or any unplanned additional treatment.MethodsWe analysed data from a large multicentre trial (the 3Mg trial). Adults with severe acute asthma underwent standardised clinical assessment, including peak expiratory flow rate (PEFR), up to 2 h after initiation of treatment. Standard care was provided other than blinded random allocation to trial treatment or placebo. Patients were followed up by record review up to 30 days. Unsuccessful treatment was defined as needing (1) critical care or (2) critical care or any unplanned additional treatment within 7 days of presentation. Logistic regression was used to identify predictors and derive a prediction model for each outcome.ResultsOut of 1084 patients analysed, 81 (7%) received critical care and 157 (14%) received critical care or unplanned additional treatment. Baseline PEFR (p=0.017), baseline heart rate (p<0.001), other serious illness (p=0.019), PEFR change (p=0.015) and heart rate change (p<0.001) predicted need for critical care. Baseline PEFR (p=0.010), baseline heart rate (p<0.001), baseline respiratory rate (p=0.017), other serious illness (p=0.023), PEFR change (p=0.003) and heart rate change (p=0.001) predicted critical care or additional treatment. Models based on these characteristics had c-statistics of 0.77 and 0.69, respectively.ConclusionsPEFR, heart rate and other serious illnesses are the best predictors of unsuccessful treatment, but models based on these variables provide modest predictive value.Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

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