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From Thomas Jefferson University (Drs. Leone, Peters, Fish, and McGeady), Philadelphia, PA; Milton S. Hershey Medical Center (Drs. Mauger and Chinchilli), Hershey, PA; University of California at San Francisco (Drs. Boushey, Fahy, and Lazarus), San Francisco, CA; National Jewish Medical and Research Center (Drs. Cherniack, Martin, and Szefler), Denver, CO; Brigham and Womens Hospital and Harvard Medical School (Drs. Drazen and Israel), Boston, MA, The Harlem Hospital (Dr. Ford), Harlem NY; and University of Wisconsin (Drs. Lemanske and Sorkness), Madison, WI.
Additional participating investigators are listed in Appendix.
Correspondence to: Frank T. Leone, MD, MS, Jefferson Medical College, 1025 Walnut St, Room 805, Philadelphia, PA 19107; e-mail: frank.leone{at}mail.tju.edu
Study objectives: Several methods of utilizing peak expiratory flow (PEF) and other markers of disease activity have been suggested as useful in the management of asthma. It remains unclear, however, as to which surrogate markers of disease status are discriminative indicators of treatment failure, suitable for use in clinical trials.
Design: We analyzed the operating characteristics of 66 surrogate markers of treatment failure using a receiver operating characteristic (ROC) curve analysis.
Participants: Information regarding FEV1, symptoms, ß2-agonist use, and PEF was available from 313 subjects previously enrolled in two Asthma Clinical Research Network trials, in which 71 treatment failures occurred (defined by a 20% fall in FEV1 from baseline).
Interventions: None.
Measurements and results: None of the measures
had an acceptable ability to discriminate subjects with a
20% fall
in FEV1 from those without, regardless of the duration of
the period of analysis or the criteria for test positivity employed.
Areas under the ROC curves generated ranged from 0.51 to 0.79, but none
were statistically superior. Sensitivity and specificity combinations
were generally poor at all cutoff values; true-positive rates could not
be raised without unacceptably elevating false-positive rates
concurrently.
Conclusions: Studies that seek to detect treatment failure defined by a significant fall in FEV1 should not use such individual surrogate measures to estimate disease severity.
Key Words: asthma bronchial diseases disease attributes lung diseases, obstructive patient selection research design status asthmaticus
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