CAN INTERVENTIONS FOR ASTHMA BE MODELED THROUGH AN OBJECTIVE MEASURE OF LUNG FUNCTION?
Sally S. Araki, PhD1, Anne L. Fuhlbrigge, MD, MS2, A. David Paltiel, PhD3, Katherine Croom2, Scott T. Weiss, MD, MS2, and Karen M. Kuntz, ScD4. (1) Stanford University, Center for Health Policy / Center for Primary Care and Outcomes Research, Stanford, CA, (2) Brigham and Women’s Hospital, Harvard Medical School, The Channing Laboratory, Boston, MA, (3) Yale School of Medicine, Department of Epidemiology and Public Health, New Haven, CT, (4) Harvard School of Public Health, Harvard Center for Risk Analysis, Boston, MA Purpose: To determine the degree to which modeling asthma interventions as a function of forced expiratory volume in 1 second percent predicted (FEV1) — an objective measure of lung function — predicts long-term outcomes of childhood asthma. Methods: We developed a first-order Monte Carlo simulation model of childhood asthma using data from the Childhood Asthma Management Program (CAMP), a multicenter clinical trial designed to examine the long-term effects of inhaled c
