Search tips
Search criteria 


Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
J Allergy Clin Immunol. Author manuscript; available in PMC 2010 September 30.
Published in final edited form as:
PMCID: PMC2947830

Clinical Predictors and Outcomes of Consistent Bronchodilator Response in the Childhood Asthma Management Program

Sunita Sharma, MD,1,2,6 Augusto A. Litonjua, MD,1,2,6 Kelan G. Tantisira, MD,1,2,6 Anne L. Fuhlbrigge, MD,1,2,6 Stanley J. Szefler, MD,3 Robert C. Strunk, MD,4 Robert S. Zeiger, MD, PhD,5 Amy J. Murphy, PhD,1,6 and Scott T. Weiss, MD, MS1,6, for the CAMP Research Group*



Among asthmatics, bronchodilator response (BDR) to inhaled ß2- adrenergic agonists is variable, and the significance of a consistent response over time is unknown.


We assessed baseline clinical variables and determined the clinical outcomes associated with a consistently positive BDR over 4 years in children with mild-moderate persistent asthma.


In the 1,041 participants in the Childhood Asthma Management Program (CAMP), subjects with a change in FEV1 of 12% or greater (and 200mLs) after inhaled ß2 agonist at each of their yearly follow-up visits (consistent BDR) were compared with those who did not have a consistent BDR.


We identified 52 children with consistent BDR over the 4-year trial. Multivariable logistic regression modeling demonstrated that baseline pre-bronchodilator FEV1 (OR=0.71, p<0.0001), log 10 IgE level (OR=1.97, p=0.002), and lack of treatment with inhaled corticosteroids (OR=0.31, p=0.009) were associated with a consistent BDR. Individuals who had a consistent BDR had more hospital visits (p=0.007), required more prednisone bursts (p=0.0007), had increased nocturnal awakenings due to asthma (p<0.0001), and missed more days of school (p=0.03) than non-responders during the 4-year follow-up.


We have identified predictors of consistent BDR and determined that this phenotype is associated with poor clinical outcomes.

Keywords: asthma, consistent bronchodilator response, outcomes


Asthma, one of the most common chronic respiratory diseases worldwide, is characterized by airway inflammation, increased airway responsiveness to a variety of stimuli, and airflow obstruction that is at least partially reversible by inhaled bronchodilators 1. Current treatment guidelines recommend the use of inhaled corticosteroids and inhaled ß2- adrenergic agonists for individuals with mild-moderate persistent asthma 2. However, response to inhaled ß2- adrenergic agonists is highly variable among asthmatic individuals 3. Bronchodilator response (BDR), which is an improvement in forced expiratory volume in one second (FEV1) after inhalation of a ß2- adrenergic agonist, is an important asthma-related phenotype. In a study of 81 adults with chronic airflow obstruction, a single positive BDR measurement was associated with a slower longitudinal decline in FEV1 compared to those without a bronchodilator response at baseline 4. Moreover, Tantisira et al. showed that a higher baseline level of bronchodilator response is an independent positive predictor of higher subsequent levels of lung function in asthmatic children 5. It is plausible that the longitudinal improvement in lung function associated with a single positive measurement of bronchodilator response may be related to the absence of significant airway remodeling, but in the clinical setting it is traditionally believed that a consistently positive bronchodilator response implies ongoing bronchoconstriction or inadequately treated disease. To date, there are little data about the clinical implications of a persistently positive response to bronchodilators in individuals being treated with conventional doses of asthma controller medications6. Understanding the implications of a consistent bronchodilator response, a phenotype that is easily measured, would allow clinicians to effectively assess asthma treatment regimens in the outpatient setting. The objective of this study is to identify the clinical predictors of consistent bronchodilator response and to determine the clinical implications of this phenotype.

Researchers are attempting to elucidate the clinical characteristics and genetic pathways that influence response to asthma therapies. Consistent response to inhaled ß2- adrenergic agonists indicates repeatability of therapeutic response, suggesting that it is at least a partially heritable trait 7, 8. Therefore, consistent response to bronchodilators may be an important phenotype for future investigation in pharmacogenetic studies and may allow us to better tailor medication regimens on an individual basis. Nevertheless, for a fully predictive model, we need more information on the clinical and demographic characteristics as well as the clinical implications of the consistent response phenotype. Using repeated BDR measurements from the Childhood Asthma Management Program (CAMP), a randomized-controlled trial of over 1,000 children with mild-moderate persistent asthma, our present study aims to determine which baseline clinical variables predict a consistent response to inhaled ß2-adrenergic agonists and to define the clinical outcomes associated with this phenotype.


Study Population

The Childhood Asthma Management Program (CAMP) was a multicenter, randomized, double-blind, placebo-controlled trial established to investigate the long-term effects of commonly prescribed asthma treatment regimens. In total 1,041 children were randomized to receive inhaled budesonide, inhaled nedocromil, or placebo. Participants were subsequently followed for a mean of 4.3 years with lung function studies and questionnaires at regular intervals. Phenotypic characteristics including lung function parameters, immunoglobulin E (IgE) levels, peripheral blood eosinophil counts, response to inhaled bronchodilator, response to methacholine, family history, and environmental exposures were recorded over the four-year follow-up period. Trial design, methodology, and the primary outcomes analysis of CAMP have been previously published9, 10.

At enrollment, CAMP participants had mild-moderate persistent asthma based on the presence of symptoms, the use of inhaled bronchodilators at least twice weekly, or the use of daily asthma medication for at least 6 months in the year prior to screening 10. Spirometry was performed at least 4 hours after short-acting bronchodilator use and 24 hours after long-acting bronchodilator use. Spirometry performance was required to meet American Thoracic Society criteria for acceptability and reproducibility. At least three spirometric maneuvers were performed, with at least two reproducible maneuvers required for each test. Bronchodilator response to albuterol was assessed at randomization and at all subsequent visits during which a methacholine challenge was not performed. Post-bronchodilator spirometric values were obtained at least 15 minutes after the administration of 2 puffs of albuterol (90 mcg/puff).

Approval was obtained from the Institutional Review Board at each of the CAMP participating institutions prior to the initiation of the trial. Informed consent was obtained from the parent or guardian of the participant, and the child's assent was obtained prior to study enrollment.

Consistent Bronchodilator Response Phenotype

Bronchodilator response (BDR) was expressed as the percent change in FEV1 (100 × [post FEV1 - pre FEV1/pre FEV1]). In accordance with American Thoracic Society (ATS) guidelines, consistent BDR was defined as a BDR of at least 12% of control and a concomitant increase in 200mLs at each yearly follow-up visit 11. Those who did not achieve either of these criteria were designated non-responders. Using repeated measurements of BDR obtained at each yearly visit allowed us to capitalize upon the longitudinal nature of the CAMP data.

Clinical Predictors of Consistent Bronchodilator Response

The candidate list of phenotypes measured at the time of randomization in the clinical trial included markers of asthma severity, lung function parameters, atopy, and common environmental exposures. Since pulmonary function data are routinely adjusted for age, height, gender, and race, an a priori decision was made to force these covariates into the final logistic regression model.

Distributions of the continuous predictors were inspected for normality and missing data. Total IgE levels, eosinophil counts, and PC20 values (provocative concentration of methacholine causing a 20% fall in FEV1) were log-transformed for this analysis. All continuous phenotypes remained in the model as linear predictors for the model-building process.

Univariate analyses included t-tests for continuous, normally distributed data and Fisher's exact tests for binary and categorical predictors. Due to concerns over collinearity, all predictors found to be significant on univariate analysis were placed into a forward selection logistic regression model using a selection entry criterion of p=0.05.

Since a similar cohort was not readily available for validation of our model, bootstrap resampling was performed on 1,000 samples from the CAMP population. Bootstrap resampling is a statistical method to assess stability of results and hence the generalizability of our model to other populations. Differences in the effect estimates, odds ratios, and p values between our original model and the bootstrap samples were assessed. The stability of effect estimates after bootstrap resampling suggests that a model will be generalizable to other similar populations.

Clinical Outcomes Associated with Consistent Bronchodilator Response

Poisson regression models adjusted for age, gender, treatment group, and baseline pre-bronchodilator FEV1 were used to analyze clinical outcomes associated with the consistent BDR phenotype (Proc GENMOD, SAS version 8.1; SAS Institute; Cary, NC). Proc GENMOD is a statistical method that accounts for repeated measurements and the correlation between the outcomes measured. Outcomes assessed were the total number of hospital visits (including emergency department visits and hospitalizations), number of prednisone bursts required, days of school missed due to asthma, and the number of nights awakened due to asthma symptoms during the four-year study period.

Predictors of Short-Term Consistent BDR and Associated Outcomes

Since we realize that changes in asthma medication are often made based on short-term follow-up, a short-term consistent BDR phenotype was also analyzed. Short-term consistent responders were those with a BDR greater than 12% and 200 mLs at baseline and the first two follow-up visits of the clinical trial (2 and 4 months). A total of 80 children met this definition of short-term consistently positive BDR. Clinical outcomes associated with short-term consistent response were then analyzed using Poisson regression models with appropriate covariate adjustments.

Sensitivity Analysis

Since no clear consensus exists about the definition of reversibility in subjects with airflow obstruction 11,12, 13, a sensitivity analysis was performed to assess the appropriateness of our cut-point for dichotomization. Differences of 2% change in FEV1 above or below the 12% cut-off were analyzed to assess the stability of the effect estimates of each of the variables in our multivariable logistic regression model. Decreasing the BDR definition by 2% per visit to a 10% improvement in FEV1 following inhaled bronchodilators, which represents the mean response to bronchodilators for the entire cohort, also provided a notable increase in sample size, thereby increasing the power of this analysis.

Since the ATS guidelines also suggest using an improvement in Forced Vital Capacity (FVC) of greater than 12% and 200mLs as a clinical indicator of a significant bronchodilator response, using similar methods to those described above, we performed a secondary analysis using a consistent response phenotype based on FVC criteria.


Observational data from CAMP nicely illustrate the heterogeneous nature of the response to inhaled ß2- adrenergic agonists in children with mild-moderate persistent asthma. The distribution of response to bronchodilators at randomization is shown in Figure 1. The distributions of BDR at each of the yearly follow-up visits were similar to that shown. As expected, the vast majority of children in CAMP demonstrated a variable response to inhaled ß2- adrenergic agonists at each of their yearly follow-up visits. Although a large number of individuals had a BDR greater than 12% and 200mLs at one of the yearly follow-up visits (Figure2), of the 1,041 children randomized in CAMP, 52 subjects had a BDR greater than 12% and 200mLs at each of their yearly follow-up visits and thus were considered to have a consistently positive BDR. Mean BDR of the two groups at each of the yearly follow-up visits is shown in Figure 3. Of note, the standard error bars do not overlap at any of the four time points, demonstrating that dichotomization of BDR at the 12th percentile results in good separation of the two groups.

Figure 1
Distribution of Baseline Bronchodilator Response in CAMP
Figure 2
Number of Subjects with Bronchodilator Response at Each Yearly Follow-Up Visit
Figure 3
Mean Bronchodilator Response at Yearly Visits in Responders and Non-responders

Baseline characteristics of consistent BDR and non-responders and results of the univariate analyses are outlined in Table 1. The mean bronchodilator response in those with a consistent BDR was 26% change in FEV1, compared to a 9% change in FEV1 of the non-responders (p<0.0001). Univariate analyses suggest that patients with a consistently positive BDR had lower baseline FEV1 and FEV1/FVC ratios than non-responders (both p<0.0001). There was also a significant association with higher IgE levels in children with a consistently positive BDR compared with non-responders (p=0.0007). Individuals in the placebo and nedocromil groups were more likely than those on inhaled corticosteroids to have a consistently positive BDR to ß2- adrenergic agonists (p=0.02). Age, gender, race, and height were not significantly associated with a consistently positive BDR on univariate analysis.

Table 1
Characteristics of Patients Randomized in CAMP

Multivariate logistic regression modeling demonstrates that when adjusted for age, gender, race, and height, those with a lower baseline FEV1, those with higher baseline IgE levels, and those not treated with inhaled corticosteroids were more likely to have a consistent BDR (Table 2).

Table 2
Baseline Predictors of Consistent Response to Bronchodilators: Results of the Multivariable Logistic Regression Model

Bootstrap resampling on 1,000 samples was performed for validation of the model (Table 2). All significant predictors in the multivariate logistic regression model were robust to bootstrap resampling. Interestingly, the bootstrap results indicate that individuals with increased airways responsiveness were also more likely to have a consistent bronchodilator response. Thus, lower FEV1 at baseline, higher IgE levels, increased airways hyperresponsiveness, and lack of treatment with inhaled corticosteroids were associated with a consistent BDR, even when the bootstrapping procedure was used to generate p values after 1,000 iterations.

We then determined the relevance of a consistently positive BDR by analyzing the clinical outcomes related to this trait. The consistent BDR phenotype was significantly associated with poor clinical outcomes (Table 3). For example, subjects with consistently positive BDR were found to have significantly lower mean pre-bronchodilator FEV1 (percent predicted) at the end of the 4-year trial than non-responders (80% in consistent BDR vs. 93.6% in non-responders, p<0.0001). Furthermore, the consistent BDR group had significantly higher numbers of emergency department visits and hospitalizations during follow-up than non-responders (p=0.007). Individuals with a consistently positive BDR also required more frequent prednisone bursts during the four-year trial than non-responders (p=0.0007). Furthermore, subjects with consistent BDR were 1.40 times more likely to have nocturnal awakenings and missed more days of school due to their asthma than non-responders (p<0.0001 and p=0.03, respectively).

Table 3
Association of Consistent Responder Status with Exacerbations and Symptoms over 4 Years*

Since medication changes made in the clinical setting are often based on short-term follow-up, a short-term consistent BDR phenotype was analyzed. A total of 80 children fulfilled the definition of short-term consistently positive BDR (BDR>12% and 200mLs at randomization and the first two follow-up visits). Of note, odds ratios using short-term follow-up were similar to those in our initial model, suggesting stability of the model using either short-term or longitudinal data (See Table 4). Furthermore, the short-term consistent response phenotype was also associated with poor clinical outcomes, including lower FEV1 levels (percent predicted) after four years of follow-up (p<0.0001). Individuals with a short-term consistent response also had increased hospital visits due to their asthma and required more prednisone bursts during follow-up (both p<0.0001). Moreover, short-term consistent responders were 1.36 times more likely to be awakened at night due to asthma symptoms and 1.26 times more likely to miss school over the course of the 4-yr trial (see Table 5). Therefore, the clinical predictors of consistently positive BDR may be used to make clinicians more vigilant in monitoring symptoms, treatment response, and re-evaluation of treatment options among children with asthma even after only short-term follow-up periods.

Table 4
Baseline Predictors of Short-term Consistent Response** to Bronchodilators: Results of the Multivariable Logistic Regression Model.
Table 5
Association of Short-term Consistent Response to Bronchodilators with Exacerbations and Symptoms over 4 Years *

A sensitivity analysis was performed to determine the appropriateness of the 12% and 200mLs threshold for dichotomization. In total, 84 children met criteria for a BDR of greater than 10% at each yearly follow-up visit. Despite differences in sample size and power, differences in 2% change in FEV1 above or below the 12% cut-off created only minor alterations in the multivariate model for prediction of consistent response (Online Supplement Table E1). Of note, in addition to the other clinical predictors of consistent bronchodilator response, increased airways responsiveness to methacholine was also found to be a significant predictor of consistent BDR using the alternate definition of >10% change in FEV1 at each yearly follow-up visit. This difference is likely to be related to increased power, given the larger sample size. Moreover, clinical outcomes of consistent BDR using the 10% cut-off were also associated with poor clinical outcomes (Online Supplement Table E2). Therefore, changing the BDR definition by 2% per visit, yielding a 10% improvement in FEV1 following inhaled bronchodilators, resulted in effect estimates similar to those obtained with the 12% change model.

A total of 28 individuals fulfilled the ATS FVC requirement for consistently positive BDR at each yearly visit. Lower baseline FEV1 and higher IgE levels were significant predictors of consistent BDR using the FVC criteria (Online Supplement Table E3). Moreover, the consistent BDR phenotype using FVC criteria was also associated with poor clinical outcomes including increased oral prednisone requirements and increased nocturnal awakenings due to asthma (Online Supplement Table E4). A sensitivity analysis using FVC criteria was not performed.


Prior to this study, there had been little research into the clinical predictors of consistent response to inhaled ß2-adrenergic agonists or the clinical outcomes associated with this asthma phenotype. With over 1,000 patients with repeated measures of bronchodilator response and a notable variability in response to bronchodilators, CAMP is a good cohort in which to study the consistent BDR phenotype. Based on the current analysis, it is clear that certain clinical parameters are associated with consistency in response to inhaled ß2- adrenergic agonists over time. Our data suggest that lower baseline FEV1 levels, higher IgE levels, and failure to treat with inhaled corticosteroids are associated with children having a consistent response to bronchodilators over a four-year period. Furthermore, the results of the current study demonstrate that consistent response to bronchodilators is associated with poor clinical outcomes in children with mild-moderate persistent asthma. Unlike previous suggestions that individuals with a single positive measurement of bronchodilator response benefit from inhaled steroids alone, individuals with a consistently positive response may require inhaled corticosteroid at higher-than-conventional doses, environmental modification, and possible consideration of alternative classes of asthma treatments. We have shown that this phenotype is associated with lower pre-bronchodilator FEV1 (percent predicted) values at four years, increased hospital visits, more oral steroid bursts, and more frequent nocturnal awakenings due to asthma symptoms. Given the clinical implications of the consistent BDR phenotype, a thorough understanding of the clinical variables identified by our model will improve a clinician's understanding of the prognosis and treatment options for this type of asthmatic patient. Since similar clinical outcomes were found in individuals with the short-term consistent response phenotype, clinicians can use this phenotype to modify asthma treatment regimens based on the persistence of a positive BDR even with short follow-up intervals.

In asthmatics, a single measurement of bronchodilator response has been associated with higher FEV1 values in both children and adults. Tantisira et al. showed that a single higher baseline measurement of bronchodilator response was an independent predictor of higher levels of pre-bronchodilator FEV1 at four years in CAMP 5. Their results corroborate previous demonstrations that a single positive measurement of bronchodilator response is an even stronger predictor of future lung function in individuals treated with inhaled corticostoroids5. Thus, when we began this analysis, we hypothesized that a consistently positive BDR would be associated with good clinical outcomes, especially in individuals already being treated with inhaled corticosteroids; however, that was not the case. Unlike previous studies demonstrating that a single baseline measurement of BDR is associated with higher levels of lung function over time, repeated positive measures of BDR are associated with lower levels of FEV1 (percent predicted) at four years. There are several biologic explanations for the differences noted between consistent responders and non-responders. Since failure to treat with inhaled corticosteroids was one of the determinants of the consistent response phenotype, it is possible that these individuals had higher levels of airway inflammation than non-responders, contributing to lower longitudinal lung function and suggesting that responders were undertreated for their asthma. Moreover, children randomized to receive inhaled corticosteroids had higher pre-bronchodilator FEV1 values, making both the absolute change and percent-change in FEV1 much smaller in this subgroup. Thus, these individuals were less likely to have a consistently positive response to bronchodilators over time. Nevertheless, given concerns for residual confounding by treatment group, we restricted the outcomes analyses to individuals randomized to the placebo and nedocromil treatment groups and obtained similar results (data not shown).

Subjects with consistently positive BDR also had lower baseline FEV1 than non-responders. Given previous research showing that lower baseline FEV1 is itself associated with increased exacerbation rates14, the low baseline FEV1 predictive of consistent response may also explain some of the poor clinical outcomes associated with this group. However, even when adjusted for baseline FEV1, subjects with consistent BDR had poorer clinical outcomes than non-responders suggesting that the poor clinical outcomes associated with the consistent BDR phenotype are independent of the effects of FEV1 alone.

Our study supports recent findings by Martin et al. that bronchodilator response itself was predictive of short-term response to inhaled corticosteroids in adults with asthma15. Szefler et al. have also shown that asthmatic patients with higher exhaled nitric oxide values, higher total eosinophil counts, lower PC20 values, lower lung function including FEV1, and higher serum IgE values were more likely to respond to inhaled corticosteroids16. Of note, many of the determinants of a positive response to inhaled corticosteroids are also predictors of the consistent BDR phenotype. Since inhaled corticosteroids are now a cornerstone of asthma treatment, it is clear that childhood asthmatics found to have a consistently positive BDR to ß2- adrenergic agonists and who are not already on inhaled corticosteroids would benefit from the addition of inhaled corticosteroids. However, children who demonstrate a consistently positive response to inhaled bronchodilators who are already on conventional doses of inhaled corticosteroids should have their corticosteroid dose re-evaluated or should be considered for addition of a different class of asthma medication. Of note, the correlation of the consistent BDR phenotype with increased IgE also suggests that environmental evaluation and intervention may be beneficial in these individuals.

Interestingly, eight individuals randomized to the corticosteroid arm of CAMP were classified as having a consistently positive BDR. These individuals maintained a consistent response to bronchodilators in spite of treatment with conventional doses of inhaled corticosteroids. These children may be a unique subgroup with steroid-insensitive asthma. Of note, these individuals demonstrated higher IgE and higher eosinophil levels than everyone else, suggesting that they may ultimately benefit from a discussion of medication adherence or inhaler technique, an increase in the dose of steroids, or the addition of other asthma treatment modalities including immunologic therapy 17 18 19 20. These individuals warrant further evaluation.

The sensitivity analysis performed as part of this study raises the possibility that the traditional 12% and 200mL cut-off for BDR may in fact be too conservative in the clinical management of pediatric patients. To date, there is no clear consensus about what constitutes reversibility in patients with asthma 11. Furthermore, there are even fewer data regarding bronchodilator response in pediatric populations. Although improvements in FEV1 of less than 8% after bronchodilator are considered to be within the natural variability of the measurement, improvements at or above this 8% cut-off may in fact represent a clinically relevant response11. In this study, individuals who had a BDR of 10% had clinical outcomes similar to those with a BDR of 12% and 200mLs, suggesting that an even lower BDR threshold should prompt either dose-escalation of asthma therapy or the addition of other treatment interventions.

The phenotypic characteristics found here to be predictive of a consistently positive response to inhaled bronchodilators can explain only a small portion of the variability in response to ß2- adrenergic agonists. Other predictors including genetic determinants may contribute to variability in response. In fact, previous data suggest that up to approximately 60% of the population's variability in response to bronchodilators can be attributed to genetic differences 21. Genetic predictors of BDR are currently under investigation22, 23, 24.

CAMP was limited to children with mild to moderate persistent asthma. Since patients with severe asthma were excluded from the trial, it is possible that some clinical variables associated with consistent BDR in patients with more severe asthma were missed. Thus, it is possible that our predictive model is appropriate for children with mild-moderate asthma and may not generalize to patients with severe asthma. This limitation was addressed by using a parsimonious model based on few predictors, which decreases the risk of over-fitting, making it easier for this model to generalize to other childhood asthma populations. Moreover, it is unclear whether our findings apply to adult asthmatics who have longstanding asthma and may have more airway remodeling than childhood asthmatics. This issue will need to be studied in an adult asthma population.

In conclusion, as demonstrated in CAMP, children with asthma clearly have a heterogeneous response to ß2- adrenergic agonists. Moreover, the response to bronchodilator therapy is clearly of prognostic significance in asthma. While this study sheds light on some of the clinical variables that contribute to the variability in response to inhaled bronchodilators, it is clear that other predictors not captured in our model are involved. A better understanding of genetic predictors, environmental exposures, and gene-environment interactions is required to fully account for the heterogeneity in response to asthma medications. An understanding of these complex interactions in addition to the clinical variables that predict medication response in the current analysis will allow us to more reliably determine individual-based asthma treatments and may lead to better treatment guidelines in the future.

Clinical Implication

Given its association with poor clinical outcomes, a consistently positive response to inhaled bronchodilators should prompt clinicians to re-evaluate their patient's asthma medication regimens in the outpatient setting.

Supplementary Material


We thank all subjects for their ongoing participation in the Childhood Asthma Management Program. We also acknowledge the CAMP investigators and research team, who are supported by National Heart, Lung and Blood Institute, National Institutes of Health:

Support: The Childhood Asthma Management Program is supported by contracts NO1-HR-16044, 16045, 16046, 16047, 16048, 16049, 16050, 16051, and 16052 with the National Heart, Lung, and Blood Institute and General Clinical Research Center grants M01RR00051, M01RR0099718-24, M01RR02719-14, and RR00036 from the National Center for Research Resources. Additional support for this study was provided by grants U01 HL075419, U01 HL65899, P01 HL083069, and T32 HL07427 from the National Heart, Lung and Blood Institute, National Institutes of Health.


Childhood Asthma Management Program
Bronchodilator Response
Forced Expiratory Volume in One Second
Forced Vital Capacity
Ratio of Forced Expiratory Volume in One Second over Forced Vital Capacity
Immunoglobulin E

* Members of the CAMP Research Group

Clinical centers

ASTHMA, Inc, Seattle, WA: Gail G. Shapiro, MD (Director); Thomas R. DuHamel, PhD (Co-Director); Mary V. Lasley, MD (Co-Director); Tamara Chinn, MSN, ARNP (Coordinator). Michele Hinatsu, MSN, ARNP; Clifton T. Furukawa, MD; Leonard C. Altman, MD; Frank S. Virant, MD; Paul V. Williams, MD; Michael S. Kennedy, MD; Jonathan W. Becker, MD; Grace White. C. Warren Bierman, MD (1992-1997); Dan Crawford, RN (1996-2002); Heather Eliassen, BA (1996-1999); Babi Hammond (1996-1999); Dominick A. Minotti, MD (1992-2003); Chris Reagan (1992-2003); Marian Sharpe, RN (1992-1994); Timothy G. Wighton, PhD (1994-1998).

Brigham & Women's Hospital, Boston, MA: Scott Weiss, MD, MS (Director); Anne Fuhlbrigge, MD (Principal Investigator); Anne Plunkett, NP, MS (Coordinator). Nancy Madden, RN, BSN; Peter Barrant, MD; Christine Darcy; Kelly Thompson, MD. Walter Torda, MD (Co-Investigator Director, 1993-2003); Martha Tata, RN (1993-2002); Sally Babigian, RN (1997-1999); Linda Benson (1998-2004); Jose Caicedo (1998-1999); Tatum Calder (1998-2001); Anthony DeFilippo (1994-2000); Cindy Dorsainvil (1998-2001); Julie Erickson (1998-1999); Phoebe Fulton (1997); Mary Grace, RN (1994-1996); Jennifer Gilbert (1997-1998); Dirk Greineder, MD (1993-2000); Stephanie Haynes (1993-1998); Margaret Higham, MD (1996-1998); Deborah Jakubowski (1999); Susan Kelleher (1993-1997); Jay Koslof, PhD (1993-1995); Dana Mandel (1996-1998); Patricia Martin (2001-2003); Agnes Martinez (1994-1997); Jean McAuliffe (1994-1995); Erika Nakamoto (2002-2004); Paola Pacella (1993-1998); Paula Parks (1993-1995); Johanna Sagarin (1998-1999); Kay Seligsohn, PhD (1995-2004); Susan Swords (2003-2005); Meghan Syring (1998-2001); June Traylor, MSN, RN (1996-1998); Melissa Van Horn, PhD (1996-1999); Carolyn Wells, RN (1993-1995); Ann Whitman, RN (1994-1996).

The Hospital for Sick Children, Toronto, Ontario, Canada: Ian MacLusky, MD, FRCP(C) (Director); Joe Reisman, MD, FRCP(C), MBA (Director, 1996-1999); Henry Levison, MD, FRCP(C) (Director, 1992-1996); Anita Hall, RN (Coordinator). Jennifer Chay; Melody Miki, RN, BScN; Renée Sananes, PhD. Yola Benedet (1994-1999); Susan Carpenter, RN (1998-2001); Michelle Collinson, RN (1994-1998); Jane Finlayson-Kulchin, RN (1994-1998); Kenneth Gore, MA (1993-1999); Noreen Holmes, RRT (1998-1999); Sharon Klassen, MA(1999-2000); Joseé Quenneville, MSc (1993-1995); Christine Wasson, PhD (1999).

Johns Hopkins Asthma & Allergy Center, Baltimore, MD: N. Franklin Adkinson, Jr, MD (Director); Peyton Eggleston, MD (Co-Director); Elizabeth H. Aylward, PhD; Karen Huss, DNSc (Co-Investigator); Leslie Plotnick, MD (Co-Investigator); Margaret Pulsifer, PhD (Co-Investigator); Cynthia Rand, PhD (Co-Investigator); Nancy Bollers, RN (Coordinator). Deborah Bull, LPN; Robert Hamilton, PhD; Kimberly Hyatt; Susan Limb, MD; Mildred Pessaro; Stephanie Philips, RN; Barbara Wheeler, RN, BSN.

National Jewish Medical and Research Center, Denver, CO: Stanley Szefler, MD (Director); Harold S. Nelson, MD (Co-Director); Bruce Bender, PhD (Co-Investigator); Ronina Covar, MD (Co-Investigator); Andrew Liu, MD (Co-Investigator); Joseph Spahn, MD (Co-Investigator); D Sundström (Coordinator). Melanie Phillips; Michael P. White. Kristin Brelsford (1997-1999); Jessyca Bridges (1995-1997); Jody Ciacco (1993-1996); Michael Eltz (1994-1995); Jeryl Feeley, MA (Coordinator, 1992-1995); Michael Flynn (1995-1996); Melanie Gleason, PA-C (1992-1999); Tara Junk-Blanchard (1997-2000); Joseph Hassell (1992-1998); Marcia Hefner (1992-1994); Caroline Hendrickson, RN (1995-1998; Coordinator, 1995-1997); Daniel Hettleman, MA (1995-1996); Charles G. Irvin, PhD (1992-1998); Jeffrey Jacobs, MD (1996-1997); Alan Kamada, PharmD (1994-1997); Sai Nimmagadda, MD (1993-1996); Kendra Sandoval (1995-1997); Jessica Sheridan (1994-1995); Trella Washington (1993-1997); Eric Willcutt, MA (1996-1997). We also thank the pediatric allergy and immunology fellows for their participation (Kirstin Carel, MD; Neal Jain, MD; Harvey Leo, MD; Beth Macomber, MD; Chris Mjaanes, MD; Lora Stewart, MD; Ben Song, MD).

University of California, San Diego and Kaiser Permanente Southern California Region, San Diego, CA: Robert S. Zeiger, MD, PhD (Director); Noah Friedman, MD (Co-Investigator); Michael H. Mellon, MD (Co-Investigator); Michael Schatz, MD (Co-Investigator); Kathleen Harden, RN (Coordinator). Elaine M. Jenson; Serena Panzlau; Eva Rodriguez, RRT. James G. Easton, MD (Co-Director, 1993-1994); M. Feinberg (1997-1998); Linda L. Galbreath (1991-2002); Jennifer Gulczynski (1998-1999); Ellen Hansen (1995-1997); Al Jalowayski, PhD (Co-Investigator, 1991-2005); Alan Lincoln, PhD (Co-Investigator, 1991-2003); Jennie Kaufman (1994); Shirley King, MSW (1992-1999); Brian Lopez (1997-1998); Michaela Magiari-Ene, MA (1994-1998); Kathleen Mostafa, RN (1994-1995); Avraham Moscona (1994-1996); Catherine A. Nelle, RN (1991-2005); Jennifer Powers (2001-2003); Karen Sandoval (1995-1996); Nevin W. Wilson, MD (Co-Director, 1991-1993).

University of New Mexico, Albuquerque, NM: H. William Kelly, PharmD (Director); Aaron Jacobs (Co-Investigator); Mary Spicher, RN (Coordinator). Hengameh H. Raissy. Robert Annett, PhD (Co-Investigator, 1993-2004); Teresa Archibeque (1994-1999); Naim Bashir, MD (Co-Investigator, 1998-2005); H. Selda Bereket (1995-1998); Marisa Braun (1996-1999); Shannon Bush (2002-2006); Michael Clayton, MD (Co-Investigator, 1999-2001); Angel Colon-Semidey, MD (Co-Investigator, 1997-2000); Sara Devault (1993-1997); Roni Grad, MD (Co-Investigator, 1993-1995); David Hunt, RRT (1995-2004); Jeanne Larsson, RN (1995-1996); Sandra McClelland, RN (Coordinator, 1993-1995); Bennie McWilliams, MD (Co-Investigator, Director, 1992-1998); Elisha Montoya (1997-2000); Margaret Moreshead (1996-1999); Shirley Murphy, MD (Co-Investigator, 1992-1994); Barbara Ortega, RRT (1993-1999); David Weers (1997-1998); Jose Zayas (1995-1996).

Washington University, St. Louis, MO: Robert C. Strunk, MD (Director); Leonard Bacharier, MD (Co-Investigator); Gordon R. Bloomberg, MD (Co-Investigator); James M. Corry, MD (Co-Investigator); Denise Rodgers, RFPT (Coordinator). Lila Kertz, MSN, RN, CPNP; Valerie Morgan, RRT; Tina Oliver-Welker, CRTT; Deborah K. White, RPFT, RRT.

Resource centers

Chair's Office, National Jewish Medical and Research Center, Denver, CO: Reuben Cherniack, MD (Study Chair).

Coordinating Center, The Johns Hopkins University, Baltimore, MD: James Tonascia, PhD (Director); Curtis Meinert, PhD (Co-Director). Patricia Belt; Karen Collins; Betty Collison; Ryan Colvin, MPH; John Dodge; Michele Donithan, MHS; Judith Harle; Rosetta Jackson; Hope Livingston; Jill Meinert; Kapreena Owens; Michael Smith; Alice Sternberg, ScM; Mark Van Natta, MHS; Margaret Wild; Laura Wilson, ScM; Robert Wise, MD; Katherine Yates, ScM.

Project Office, National Heart, Lung, and Blood Institute, Bethesda, MD: Virginia Taggart, MPH (Project Officer); Lois Eggers; James Kiley, PhD; Gang Zheng, PhD. Paul Albert, PhD (1991-1999); Suzanne Hurd, PhD (1991-1999); Sydney Parker, PhD (1991-1994); Pamela Randall (1992-2003); Margaret Wu, PhD (1991-2001).


Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.


1. Masoli M, Fabian D, Holt S, Beasley R. The global burden of asthma: executive summary of the GINA Dissemination Committee report. Allergy. 2004;59:469–78. [PubMed]
2. Bousquet J, Clark TJ, Hurd S, Khaltaev N, Lenfant C, O'Byrne P, et al. GINA guidelines on asthma and beyond. Allergy. 2007;62:102–12. [PubMed]
3. Abramson MJ, Walters J, Walters EH. Adverse effects of beta-agonists: are they clinically relevant? Am J Respir Med. 2003;2:287–97. [PubMed]
4. Postma DA, DV K, Koeter GH, Sluiter HJ. Independent influence of reversibility of air-flow obstruction and nonspecific hyperreactivity on the long-term course of lung function in chronic air-flow obstruction. American Review of Respiratory Diseases. 1986;134:276–80. [PubMed]
5. Tantisira KG, Fuhlbrigge AL, Tonascia J, Van Natta M, Zeiger RS, Strunk RC, et al. Bronchodilation and bronchoconstriction: predictors of future lung function in childhood asthma. J Allergy Clin Immunol. 2006;117:1264–71. [PubMed]
6. Beydon N, M'Buila C, Bados A, Peiffer C, Bernard A, Zaccaria I, et al. Interrupter resistance short-term repeatability and bronchodilator response in preschool children. Respir Med. 2007;101:2482–7. [PubMed]
7. Tantisira KG, Weiss ST. The pharmacogenetics of asthma: an update. Curr Opin Mol Ther. 2005;7:209–17. [PubMed]
8. Xu X, Weiss ST. Familial aggregation of bronchodilator response: a community-based study. Am J Respir Crit Care Med. 2002;166:774. [PubMed]
9. The Childhood Asthma Management Program (CAMP): design, rationale, and methods. Childhood Asthma Management Program Research Group. Control Clin Trials. 1999;20:91–120. [PubMed]
10. Long-term effects of budesonide or nedocromil in children with asthma. The Childhood Asthma Management Program Research Group. N Engl J Med. 2000;343:1054–63. [PubMed]
11. Pellegrino R, Viegi G, Brusasco V, Crapo RO, Burgos F, Casaburi R, et al. Interpretative strategies for lung function tests. European Respiratory Journal: Eur Respiratory Soc. 2005:948–68. [PubMed]
12. Eliasson O, Degraff AC., Jr The use of criteria for reversibility and obstruction to define patient groups for bronchodilator trials. Influence of clinical diagnosis, spirometric, and anthropometric variables. Am Rev Respir Dis. 1985;132:858–64. [PubMed]
13. Dales RE, Spitzer WO, Tousignant P, Schechter M, Suissa S. Clinical interpretation of airway response to a bronchodilator. Epidemiologic considerations. Am Rev Respir Dis. 1988;138:317–20. [PubMed]
14. Kitch BT, Paltiel AD, Kuntz KM, Dockery DW, Schouten JP, Weiss ST, et al. A single measure of FEV1 is associated with risk of asthma attacks in long-term follow-up. Chest. 2004;126:1875–82. [PubMed]
15. Martin RJ, Szefler SJ, King TS, Kraft M, Boushey HA, Chinchilli VM, et al. The Predicting Response to Inhaled Corticosteroid Efficacy (PRICE) trial. J Allergy Clin Immunol. 2007;119:73–80. [PMC free article] [PubMed]
16. Szefler SJ, Phillips BR, Martinez FD, Chinchilli VM, Lemanske RF, Strunk RC, et al. Characterization of within-subject responses to fluticasone and montelukast in childhood asthma. J Allergy Clin Immunol. 2005;115:233–42. [PubMed]
17. O'Byrne PM, Parameswaran K. Pharmacological management of mild or moderate persistent asthma. Lancet. 2006;368:794–803. [PubMed]
18. Sorkness CA, Lemanske RF, Jr, Mauger DT, Boehmer SJ, Chinchilli VM, Martinez FD, et al. Long-term comparison of 3 controller regimens for mild-moderate persistent childhood asthma: the Pediatric Asthma Controller Trial. J Allergy Clin Immunol. 2007;119:64–72. [PubMed]
19. Deykin A, Wechsler ME, Boushey HA, Chinchilli VM, Kunselman SJ, Craig TJ, et al. Combination therapy with a long-acting beta-agonist and a leukotriene antagonist in moderate asthma. Am J Respir Crit Care Med. 2007;175:228–34. [PMC free article] [PubMed]
20. Zeiger RS, Szefler SJ, Phillips BR, Schatz M, Martinez FD, Chinchilli VM, et al. Response profiles to fluticasone and montelukast in mild-to-moderate persistent childhood asthma. J Allergy Clin Immunol. 2006;117:45–52. [PubMed]
21. Drazen JM, Silverman EK, Lee TH. Heterogeneity of therapeutic responses in asthma. Br Med Bull. 2000;56:1054–70. [PubMed]
22. Weiss ST, L A, Lange C, Lazarus R, Liggett SB, Bleeker ER, Tantisira KG. Overview of the pharmacogenetics of asthma treatment. The Pharmacogenomics Journal. 2006;6:311–26. [PubMed]
23. Litonjua AA, Silverman EK, Tantisira KG, Sparrow D, Sylvia JS, Weiss ST. Beta 2-adrenergic receptor polymorphisms and haplotypes are associated with airways hyperresponsiveness among nonsmoking men. Chest. 2004;126:66–74. [PubMed]
24. Raby BA, Weiss ST. Beta2-adrenergic receptor genetics. Curr Opin Mol Ther. 2001;3:554–66. [PubMed]