Copyright ©ERS Journals Ltd 2006 TENOR risk score predicts healthcare in adults with severe or difficult-to-treat asthma1 Genentech, Inc., 2 University of California, 3 Ovation Research Group, San Francisco, CA, 4 National Jewish Medical and Research Center, Denver, CO, and 5 Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. CORRESPONDENCE: M. K. Miller, Genentech, Inc, 1 DNA Way, MS 214B, South San Francisco, CA, 94044, USA. Fax: 1 6502254093. E-mail: mkmiller{at}gene.com Keywords: Asthma, epidemiology, healthcare use, predictor, risk score, TENOR
Received: December 8, 2005
The aim of the present study was to predict which patients with severe or difficult-to-treat asthma are at highest risk for healthcare utilisation can be predicted so as to optimise clinical management.
Data were derived from 2,821 adults with asthma enrolled in The Epidemiology and Natural History of Asthma: Outcomes and Treatment Regimens (TENOR) study. Multiple potential predictors were assessed at baseline using a systematic algorithm employing stepwise logistic regression. Outcomes were asthma-related hospitalisations or emergency department (ED) visits within 6 months following baseline.
Overall, 239 subjects (8.5%) reported hospitalisation or ED visits at follow-up. Predictors retained after multivariate analysis were as follows: younger age; female sex; non-white race; body mass index
The risk score derived is a clinically useful tool for assessing the likelihood of asthma-related hospitalisation or emergency department visits in adults with severe and difficult-to-treat asthma.
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