The Journal of Allergy and Clinical Immunology
Volume 122, Issue 4 , Pages 741-747.e4, October 2008

Factors associated with asthma exacerbations during a long-term clinical trial of controller medications in children

  • Ronina A. Covar, MD

      Affiliations

    • Department of Pediatrics, National Jewish Medical and Research Center and University of Colorado Health Sciences Center, Denver, Colo
    • Corresponding Author InformationReprint requests: Ronina A. Covar, MD, National Jewish Medical and Research Center, 1400 Jackson Street, Denver, CO 80206.
  • ,
  • Stanley J. Szefler, MD

      Affiliations

    • Department of Pediatrics, National Jewish Medical and Research Center and University of Colorado Health Sciences Center, Denver, Colo
  • ,
  • Robert S. Zeiger, MD, PhD

      Affiliations

    • Department of Pediatrics, University of California San Diego, and the Department of Allergy, Kaiser Permanente, San Diego, Calif
  • ,
  • Christine A. Sorkness, PharmD

      Affiliations

    • Clinical Science Center, University of Wisconsin, and the Department of Pediatrics, University of California-San Diego, San Diego, Calif
  • ,
  • Mark Moss, MD

      Affiliations

    • Clinical Science Center, University of Wisconsin, and the Department of Pediatrics, University of California-San Diego, San Diego, Calif
  • ,
  • David T. Mauger, PhD

      Affiliations

    • Department of Public Health Sciences, Pennsylvania State University, Hershey, Pa
  • ,
  • Susan J. Boehmer, PhD

      Affiliations

    • Department of Public Health Sciences, Pennsylvania State University, Hershey, Pa
  • ,
  • Robert C. Strunk, MD

      Affiliations

    • Department of Pediatrics, Washington University, St Louis, Mo
  • ,
  • Fernando D. Martinez, MD

      Affiliations

    • Arizona Respiratory Center, University of Arizona, Tucson, Ariz
  • ,
  • Lynn M. Taussig, MD

      Affiliations

    • Department of Pediatrics, National Jewish Medical and Research Center and University of Colorado Health Sciences Center, Denver, Colo
  • ,
  • Childhood Asthma Research and Education Network

Received 19 April 2008; received in revised form 22 August 2008; accepted 25 August 2008.

Article Outline

Background

Asthma exacerbations are a common cause of critical illness in children.

Objective

To determine factors associated with exacerbations in children with persistent asthma.

Methods

Regression modeling was used to identify historical, phenotypic, treatment, and time-dependent factors associated with the occurrence of exacerbations, defined by need for oral corticosteroids or emergency or hospital care in the 48-week Pediatric Asthma Controller Trial study. Children age 6 to 14 years with mild-to-moderate persistent asthma were randomized to receive either fluticasone propionate 100 μg twice daily (FP monotherapy), combination fluticasone 100 μg AM and salmeterol twice daily, or montelukast 5 mg once daily.

Results

Of the 285 participants randomized, 48% had 231 exacerbations. Using a multivariate analysis, which included numerous demographic, pulmonary, and inflammatory parameters, only a history of an asthma exacerbation requiring a systemic corticosteroid in the past year (odds ratio [OR], 2.10; P < .001) was associated with a subsequent exacerbation during the trial. During the trial, treatment with montelukast versus FP monotherapy (OR, 2.00; P = .005), season (spring, fall, or winter vs summer; P ≤ .001), and average seasonal 5% reduction in AM peak expiratory flow (OR, 1.21; P = .01) were each associated with exacerbations. Changes in worsening of symptoms, β-agonist use, and low peak expiratory flow track together before an exacerbation, but have poor positive predictive value of exacerbation.

Conclusion

Children with mild-to-moderate persistent asthma with previous exacerbations are more likely to have a repeat exacerbation despite controller treatment. Inhaled corticosteroids are superior to montelukast at modifying the exacerbation risk. Available physiologic measures and biomarkers and diary card tracking are not reliable predictors of asthma exacerbations.

Key words: Airway inflammation, asthma, bronchial hyperresponsiveness, childhood asthma, exacerbations

Abbreviations used: AROCC, Area under the receiver operating characteristic curve, ED, Emergency department, eNO, Exhaled nitric oxide, OR, Odds ratio, PACT, Pediatric Asthma Controller Trial, PEF, Peak expiratory flow, ROC, Receiver operating characteristic

 

The natural course of asthma includes episodic deterioration (exacerbations) that can result in missed school days, missed workdays by parents, urgent care or emergency department (ED) visit, hospitalizations, and mortality. In the context of a multicenter trial, children and adults with mild persistent asthma of recent onset were found to be at risk for a severe exacerbation at a 3-year cumulative prevalence of 6.5% and a yearly rate of systemic corticosteroid use of 0.21 per patient.1 Exacerbations occur despite maintenance use of inhaled corticosteroids, as noted in the 4.3-year Childhood Asthma Management Program clinical trial, in which prednisone use occurred at a rate of 0.70 per patient/year even in a treatment group receiving inhaled corticosteroid, although the rate was 43% less than the placebo group.2 Exacerbations represent a distinct component of patient-reported health status3 and one of the major challenges to prevent. Therefore, it is essential to understand the factors that correlate with exacerbations.

The Childhood Asthma Research and Education Network's 1-year Pediatric Asthma Controller Trial (PACT), evaluated the efficacy and safety of 3 controlled treatment regimens in achieving the best asthma control in children with persistent asthma of mild-moderate severity.4 During the run-in, participants enrolled in the study had minimal or no significant airflow limitation on the basis of FEV1 percent predicted, moderate-to-severe bronchial responsiveness to methacholine, modest exhaled nitric oxide (eNO) concentrations, and relatively good asthma control on the basis of the Asthma Control Questionnaire score. PACT provided the opportunity to determine the physiologic, biologic, and temporal variables associated with asthma exacerbations in children with mild-to-moderate persistent asthma.

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Methods 

Details of the PACT study and its procedures have been reported4 and are briefly summarized. PACT was a multicenter 48-week randomized, double-blind, placebo-controlled, double-dummy, parallel-group study of 285 children 6 to 14 years of age with documented mild-moderate persistent asthma, screening FEV1 ≥80% predicted, and methacholine reactivity. Treatments compared were fluticasone propionate 100 μg twice daily (FP monotherapy), FP 100 μg/salmeterol 50 μg in the morning and salmeterol 50 μg in the evening (PACT combination), and montelukast 5 mg in the evening. Spirometric lung function tests (including maximum bronchodilator reversibility), methacholine provocation challenge, and eNO and urinary leukotriene E4 measurements were performed during each study visit at baseline and serially. Total serum IgE level, peripheral eosinophil count, and serum eosinophil cationic protein were obtained at baseline. Electronic peak expiratory flow (PEF) measurements (AM1; Jaeger-Toenies GmbH, Hoechburg, Germany), asthma symptom scores, and albuterol use were recorded manually in diaries twice daily. Adherence to inhaled medication was assessed as detailed elsewhere.4

The Institutional Review Board of the 5 Childhood Asthma Research and Education clinical centers and the Data Coordinating Center approved the study. Parents/guardians provided informed consent, with verbal assent given by children less than 7 years of age, and written assent from older children.

An asthma exacerbation was defined for this analysis as the development of acute asthma requiring systemic corticosteroids or emergency care (ED visit or hospitalization). This is a broader definition than was used for the primary analysis in which exacerbations did not include emergency care not associated with a prednisone course.4 The resulting inclusion of 2 participants who went to the ED but did not receive prednisone did not affect the results found in this cohort with a low rate of emergency care use. Initiation of oral prednisone therapy was based on specific guidelines or on physician discretion.4 The guidelines for initiating a prednisone course were use of >12 puffs albuterol in 24 hours (excluding preventive use before exercise) for diary card symptom code of 3 or PEF less than 70% of personal best before each albuterol use; diary symptom code of 3 (the most severe code) for ≥48 hours or longer; or PEF dropped to less than 50% of personal best despite albuterol treatment or physician discretion.4

Statistical analysis 

Regression modeling was used to investigate associations between the occurrence of exacerbations and characteristics before randomization, treatment assignment, and time-dependent factors. A longitudinal data framework was constructed whereby the calendar year was divided into 4 seasons: June to August (summer), September to November (fall), December to February (winter), and March to May (spring). In this way, each participant contributed 4 data points to the analysis, 1 from each season. The response variable in the regression models was the presence or absence of an exacerbation during each season. The longitudinal independent variables in the regression models were defined as changes from baseline. Measurements that were obtained on a daily basis (eg, morning and evening PEF and PEF variability) were summarized for each participant as seasonal averages and defined as percentage decrease from baseline (2-week run-in period average) to standardize subjects relative to their pretreatment levels. For example, if a child's baseline PEF was 300 liters/min and his average PEF from June through August was 270 liters/min, then his summer PEF decrease from baseline would be 10%. The eNO measurements taken at clinic visits were also summarized as seasonal averages over the visits that occurred during that season.

Logistic regression analysis was then applied by using the generalized estimating equations approach to account for statistical dependence induced by the longitudinal nature of the data. A structured modeling building algorithm was used in this exploratory analysis. Univariate regression models including each of the baseline and seasonal measures were first used to narrow the list of covariates (statistically significant at P < .05) to be incorporated into the final multivariate model.

It is important to note that exacerbations could occur at any point during a given season. If an exacerbation occurred near the end of the season, then the data values for the independent variables were made up mainly of information collected before the exacerbation. However, if an exacerbation occurred near the beginning of the season, then the data values for the independent variables were made up mainly of information collected after the exacerbation. Thus, the longitudinal variables represent circumstances that were temporally near, but not necessarily preceding, exacerbations, and the results of the regression model should be interpreted as indications of associations with, rather than predictions of, exacerbations. Distinct exacerbations were defined as those occurring at least 6 days apart. There were 5 exacerbations that occurred within 2 weeks of the previous and 19 that occurred within 4 weeks of the previous. However, only 4 of those had any effect on the results because of the way our model is defined. As a result, the sensitivity analysis revealed that it did not make any difference to the results of our model. Twenty-five percent of second and third exacerbations occurred within 35 days of the previous and 50% within 67 days.

To explore the predictive value of daily diary data, an analysis focused on changes in symptoms, bronchodilator rescue use, and PEF immediately preceding exacerbations was also performed. Asthma symptoms, including cough and wheeze, use of albuterol for rescue, and PEF percent of personal best were examined alone and in combination. These variables were chosen because they were used to guide the subject's asthma action plan during the study. Four separate analyses were performed to assess predictive value for imminent exacerbations: 3 days before, 2 days before, the day before, and the day of initiation of corticosteroid or ED visit. All days more than 2 weeks before, or 2 weeks after, exacerbations were considered to be not associated with exacerbations and negative days. In each analysis, there was only 1 positive day for each exacerbation (ie, 3, 2, 1 or 0 days before to initiation). Separate receiver operating characteristic (ROC) curves of the various signals were plotted for each positive and area under the ROC curve (AROCC) calculated. AROCC can be interpreted as the probability that a randomly selected positive day will have a worse value (higher symptoms/rescue use or lower PEF) than a randomly selected negative day. The best possible AROCC, 1.0, indicates a perfect signal that is always present on a positive day and never present on a negative day. The worst possible AROCC, 0.5, corresponds to a coin-flip signal that is just as likely to be present on a positive day as on a negative day.

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Results 

A total of 231 asthma exacerbations occurred in 48% of the participants during the course of the treatment phase. Twenty-two percent (n = 64) had 2 or more exacerbations (Fig 1). Of the exacerbations, 74 (53%), 35 (26%), and 29 (21%) were first, second, and third exacerbations, respectively. The mean ± SD (median) time to the first exacerbation was 127 ± 103 (99) days.

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  • Fig 1. 

    Numbers of participants in the PACT with no, 1, 2, and 3 exacerbations in each treatment group. Forty-eight percent had at least 1 exacerbation, and 22% had more than 1 exacerbation. Fewer participants in the FP monotherapy group developed an asthma exacerbation during the trial compared with those who were treated with montelukast (P = .009 FP monotherapy vs montelukast; P = .09 FP monotherapy vs PACT combination; P = .2 PACT combination vs montelukast).

Univariate analyses 

Univariate logistic regression analyses were performed to identify variables before randomization and during the trial predictive of an exacerbation (Table I).

Table I. Logistic regression analysis of factors at baseline and during the PACT trial treatment associated with an exacerbation
Unadjusted OR (95% CI)P value
Baseline factors
Sex, female vs male1.22 (0.85, 1.74).28
Race, white vs nonwhite1.20 (0.76, 1.90).43
Any positive skin test, none vs yes1.03 (0.66, 1.59).9
Smoke exposure, no vs yes1.05 (0.67, 1.67).51
Presence of pets in the home0.77 (0.54, 1.10).15
Prednisone course in the past year, none vs any2.28 (1.59, 3.26).0001
Age at randomization (y)0.89 (0.83, 0.97).007
Age at diagnosis of asthma (y)0.94 (0.88, 0.99).03
Asthma Control Questionnaire score1.20 (0.89, 1.63).24
FEV1 percent predicted1.01 (0.99, 1.02).37
FEV1/FVC, ratio % predicted1.01 (0.99, 1.04).29
Maximum bronchodilator response (%)1.02 (1.00, 1.04).09
FEV1 log2 PC20 (mg/mL)1.04 (0.94, 1.14).45
eNO (log10 ppb)0.93 (0.60, 1.45).76
Urinary leukotriene E4 (log10 pg/mg creatinine)1.08 (0.51, 2.26).85
Serum IgE (log10 IU/mL)1.15 (0.90, 1.48).25
Eosinophil count (log10 % of white blood cells)1.38 (0.84, 2.27).20
Eosinophil cationic protein (log10 μg/li)1.16 (0.80, 1.69).43

Treatment factors
Treatment group
Montelukast1.91 (1.24, 2.95).003
PACT combination1.51 (0.97, 2.34).066
FP monotherapy1.00
Season
Spring2.28 (1.41, 3.67).0007
Winter2.28 (1.38, 3.75).0013
Fall3.12 (1.95, 4.99)<.0001
Summer1.00
eNO (log10 change from baseline)1.97 (1.13, 3.44).02
AM PEF (% drop from baseline)1.22 (1.02, 1.46).03
PM PEF (% drop from baseline)1.17 (0.99, 1.39).06

Exacerbations defined as increased asthma activity requiring prednisone courses, ED visits, and hospitalizations. The univariate model included all candidate baseline predictors and time-dependent variables such as treatment, season, and seasonal eNO and peak flow values.

The eNO and PEF values are 3-month averages and then subtracted from the baseline average.

In the univariate analysis, 1 log10-fold change in eNO during the season when the exacerbation occurred corresponded to 97% increased odds of having an exacerbation.

A 5% drop in AM PEF average from baseline during the season when the exacerbation occurred translated into a 22% higher risk of a subsequent exacerbation.

Factors before randomization associated with an exacerbation 

A history of an exacerbation requiring a corticosteroid course (odds ratio [OR], 2.28; P = .0001) was the most significant factor. Younger age and earlier age of asthma diagnosis were also associated with a higher risk of an exacerbation (P = .007 and P = .03, respectively). No other biologic or physiologic marker before randomization was associated with exacerbation risk (Table I).

Factors during the trial associated with the occurrence of exacerbations 

The impact of treatment on the risk of exacerbation was evaluated in various ways. The rates of exacerbations per patient year were 1.0 for montelukast, 0.8 for PACT combination, and 0.6 for FP monotherapy (P = .01). Treatment with montelukast versus FP monotherapy increased the odds of an exacerbation by almost 2 times (OR, 1.91; P = .003), but treatment with PACT combination was not significantly different from either montelukast or FP monotherapy (Table I). More than half of the participants in either the montelukast (56%) or PACT combination (51%) groups but only 39% in the FP monotherapy group developed at least 1 exacerbation during the trial (P = .004 montelukast vs FP monotherapy; P = .09 FP monotherapy vs PACT combination; P = .2 montelukast vs PACT combination). One or 2 exacerbations occurred equally in the 3 treatment groups. However, 55% of children with 3 exacerbations were from the montelukast group, 27% from the PACT combination, and only 17% from the FP monotherapy (P = .21 PACT combination vs montelukast; P = .6 PACT combination vs FP monotherapy; P = .04 montelukast vs FP monotherapy). Over twice as many ED/urgent care visits for exacerbations were reported in the montelukast groups (n = 26) and the PACT combination (n = 28) compared with the FP monotherapy (n = 10; P = .7 PACT combination vs montelukast; P < .001 PACT combination vs FP monotherapy; P = .003 montelukast vs FP monotherapy).

Exacerbations were seasonally related—that is, they were 2.3 times more likely to occur in the spring (P < .001) or winter (P = .001) and 3.1 times more likely in the fall (P < .0001) compared with the summer months (Table I and Fig 2).

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  • Fig 2. 

    Number of exacerbations in the winter (Dec-Feb), spring (Mar-May), summer (June-Aug), and fall (Sept-Nov) months. Exacerbations were more likely to occur in the spring (P < .001) or winter (P = .001) or fall (P < .0001) than in the summer.

During the treatment phase, changes in eNO and PEF from baseline were associated with an exacerbation (Table I). The eNO increase is on the log10-scale, and 1 log-fold increase corresponds to an OR of 1.97 (P = .02). AM and PM PEF are expressed as average drop in AM and PM PEF, respectively, over the entire season. In this analysis, a 5% drop in average AM PEF is associated with a 1.22 increased odds of exacerbations (P = .03).

Multivariate analyses of factors associated with exacerbations 

Of the significant factors before randomization, only a history of an exacerbation in the year before study was independently related to an exacerbation during the study (P = .001; Table II). During the course of the study, treatment group (montelukast vs FP monotherapy; P < .001), season (any season vs summer; P = .0002), and a reduction in average AM PEF over the season (P = .01) were all associated with exacerbations. The interaction of season and treatment group was not significant so that exacerbations were likely to occur in any season other than summer regardless of treatment. The treatment group by AM PEF change interaction effect was also not significant. In the multivariate model, the effects of age, eNO, and PM PEF were no longer significant.

Table II. Multivariable model of factors associated with exacerbations
VariableOR (95% CI)Level P value
Baseline factors
Prednisone course in the year before study2.10 (1.42, 3.09).0008
Age (y)0.93 (0.85, 1.01).1

Treatment factors
Treatment group .019
Montelukast2.00 (1.23, 3.24).005
PACT combination1.51 (0.92, 2.50).1
FP monotherapy1.00
Season .0002
Spring2.53 (1.50, 4.27).0005
Winter2.17 (1.24, 3.81).007
Fall3.01 (1.75, 5.18)<.0001
Summer1.00
am PEF (% decrease from baseline)1.21 (1.01, 1.45).01
eNO (log10 change from baseline)1.37 (0.72, 2.57).4

Exacerbations defined as increased asthma activity requiring prednisone courses, ED visits, and hospitalizations. The multivariate model included variables significant in the univariate analyses at P < .1. The eNO and PEF values are 3-month averages and then subtracted from the baseline average. In the model, a 5% drop in AM PEF average from baseline during the season when the exacerbation occurred translated into a 21% higher risk of a subsequent exacerbation.

Relationship of daily asthma diary monitoring to exacerbations 

The patterns of changes in morning PEF, symptom score, and albuterol use in each treatment group before and after an exacerbation are depicted in Fig 3. Concurrent changes in cough and wheeze scores, albuterol rescue use, and PEF were evident 12 to 3 days before an exacerbation and more abruptly within the 2 days before, with not 1 parameter occurring earlier than others. The outcome measures (symptoms, albuterol rescue use, and PEF) returned to baseline level within a maximum period of 10 days. This trend was apparent regardless of treatment.

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  • Fig 3. 

    Plots of cough/wheeze severity score (scale 0-3), rescue albuterol rescue use (no. of inhalations per day), and am PEF as percent predicted of participants in the montelukast (blue), PACT combination (green), and FP monotherapy (orange) groups, relative to an exacerbation.

On the basis of diary card documentation, the percentages of participants in each treatment group who reported any of the following were determined: a 2-level increase in symptom score, a 20% PEF reduction, or albuterol rescue use of at least 8 inhalations per day. By the time the patients were considered to be exacerbating, 57% in the montelukast, 70% in the PACT combination, and 51% in the FP monotherapy group reported recent changes in any of these signals (see this article's Fig E1 in the Online Repository at www.jacionline.org). One day before the exacerbation was considered, the sensitivities of these recent changes were lower in each treatment group (49%, 49%, and 45%). Other important observations were higher documented recent changes in PEF reduction, worsening symptoms, and frequent albuterol use in participants from the montelukast and PACT combination groups even several days before and after Day 0. (see this article's Table E1 in the Online Repository at www.jacionline.org). Although the sensitivities of the signals based on diary card tracking are consistently low, PEF reduction was most sensitive although less specific compared with symptom score and albuterol use. Poor positive and negative predictive values for each PEF reduction, albuterol rescue use, and symptoms were found, regardless of treatment assignment (see this article's Tables E2 and E3 in the Online Repository at www.jacionline.org).

Using AROCC, the relative utility of the PEF reduction, symptom score, and albuterol use, singly and in combination, as signals of an imminent exacerbation was determined (Table III). The AROCCs for symptoms, PEF reduction, and albuterol rescue increased as the time to exacerbation shortened. The AROCCs for symptoms were higher than for PEF or albuterol use on the day of and days leading to an exacerbation, and there was only modest improvement in the AROCCs when PEF and/or albuterol use was combined with symptom score. These patterns were found in all treatment groups (Table III).

Table III. AROCC values for diary monitoring on 3 consecutive lag days before day 0 of an exacerbation
Days before exacerbation
TotalMontelukastPACT combinationFP monotherapy
3210321032103210
Symptoms0.660.720.830.850.600.740.860.830.710.730.860.880.580.670.760.80
Albuterol rescue use0.570.680.780.830.650.680.790.800.560.590.740.850.630.710.800.78
PEF0.600.680.730.770.660.710.720.730.510.610.710.800.540.680.730.74
Symptoms and albuterol rescue use0.680.750.860.880.650.760.860.850.710.750.860.900.590.720.840.86
Symptoms and PEF0.660.730.820.860.710.760.820.810.580.670.800.880.590.710.810.87
Albuterol rescue use and PEF0.650.710.770.820.690.730.790.790.550.620.740.840.620.710.770.81
Symptoms, albuterol rescue use, and PEF0.680.750.840.870.720.780.850.810.610.680.840.880.620.710.820.91

All days more than 2 weeks before or 2 weeks after exacerbations were considered to be days not associated with the exacerbation. ROC curves of the various predictors were plotted for each day separately and AROCC calculated. AROCC can be interpreted as the probability that a randomly selected lag day before an exacerbation will have a worse value (higher symptoms/rescue use or lower PEF) than a randomly selected day not associated with the exacerbation.

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Discussion 

Our analysis of asthma exacerbations of children with mild-to-moderate asthma enrolled in the 1-year multicenter PACT study using an extensive panel of physiologic and biologic markers revealed important features associated with the occurrence of an exacerbation.

Host and environmental factors that increase the risk of asthma exacerbations in children and those that could be targeted by interventions are not well defined. Of the numerous baseline historical, phenotypic, and immunologic and atopic characteristics analyzed in this study, younger age, earlier age at asthma diagnosis, and a previous history of an exacerbation requiring a systemic corticosteroid course were found to be risk factors in the univariate analysis. A multivariable regression model was used to determine whether these factors were independently predictive of exacerbation risk. These results indicated that previous history of exacerbations was the most important risk factor. Although the association between previous exacerbation and its recurrence is consistent with other studies,3, 5, 6, 7, 8, 9 our study evaluated many other physiologic and biologic markers in the model (atopy, allergen sensitization, smoking exposure, lung function measures, bronchial hyperresponsiveness, inflammatory markers), and none was significantly associated with the occurrence of an exacerbation in this trial.

There are aspects of an exacerbation risk that can be tracked and modified by specific treatment. According to current asthma guidelines,10 controller therapy for persistent asthma, preferably inhaled corticosteroids, is recommended to reduce the risk of exacerbations. In PACT, the number of prednisone courses for children receiving inhaled corticosteroid monotherapy (0.6 per patient year) was comparable to that for children who received budesonide in the Childhood Asthma Management Program trial.2 These exacerbation rates were within the acceptable level proposed in the National Asthma Education and Prevention Program: Expert Panel Report 3 (ie, less than 2 exacerbations per year).10 In this article, we have extended several findings highlighted in the original PACT article with respect to superiority of inhaled corticosteroid over a leukotriene receptor antagonist using other features of an exacerbation as an outcome. Compared with a leukotriene receptor antagonist, inhaled corticosteroid not only increased the time to first prednisone course (P = .0002)4 but also reduced the rate of overall exacerbations and the number of emergent care visits by 40% to 50%. A favorable effect of inhaled corticosteroid monotherapy over PACT combination with respect to a lower rate of exacerbations and lower urgent care/ED visits was also found. In the original article,4 FP monotherapy and PACT combination had comparable effects on symptom control and time to first exacerbation,4 but other advantages of FP monotherapy over PACT combination with regard to improvements in lung function, eNO, and bronchial hyperresponsiveness were shown. Given these findings and the lack of differences in growth effects among the 3 treatment groups reported in the main PACT article, low-dose inhaled corticosteroid twice a day would be considered the preferred treatment for persistent asthma with regard to modifying the exacerbation risk.

Despite active intervention and excellent adherence to study drugs and diary card recording (ie, adherence to study medications estimated from the Diskus (GlaxoSmithKline, Research Triangle Park, NC) dose counter was 90% and from an Electronic Drug Exposure Monitor (MEMS, Medication Event Monitoring Systems, AARDEX, Zug, Switzerland) records, tablet use was 86%),4 almost half of the participants still developed an asthma exacerbation. Furthermore, about 1 in 5 children would be considered having uncontrolled asthma on the basis of exacerbation risk criteria proposed in the current asthma guidelines (ie, ≥2 exacerbations per year).10 Hence, it is essential to find better strategies to reduce this risk further in these susceptible patients. Preventing asthma exacerbations is a major goal in the management of asthma because of the associated health risks and economic burden.

During the study, along with treatment, season and change in PEF are associated with exacerbations in a multivariate longitudinal model. Exacerbations were more likely to occur at the other seasons compared with summer, with the greatest occurrence in the fall, consistent with other studies.11, 12, 13, 14 The impact of season on the occurrence of exacerbation could be a result of allergen or irritant (eg, smoke and pollutant) exposure, or viral respiratory infections. In a recent case-control study, the combination of both sensitization and exposure to sensitizing allergen plus viral infection was an independent risk for a hospital admission from asthma exacerbation.15 Our study highlights the independent effects of specific individual asthma patterns (ie, history of exacerbations), treatment, and season in a 3-arm long-term treatment trial.

In the univariate regression analyses, other time-dependent characteristics associated with an exacerbation were changes in seasonal am and pm PEF and eNO concentrations (Table I). However, in the multivariate longitudinal model, once season and/or treatment effects were in the model, eNO was no longer associated with occurrence of an exacerbation. Several other analyses in this study were performed to look for an association between eNO and exacerbation. Only 15% of the exacerbations occurred within 2 weeks of a clinic visit when an eNO was obtained. The eNO concentrations were lower in the FP monotherapy group compared with the PACT combination and montelukast groups, but low correlations (close to 0) in each treatment group were found between eNO obtained at study visits and time before an exacerbation (data not shown). eNO not only was modified by treatment but also varied across the seasons using a stratified analysis. Therefore, the approach expressing change in eNO as seasonal average in the longitudinal models was used. Again, once we accounted for season and treatment, eNO determined at study visits was no longer associated.

The analysis approach we used revealed seasonal associations between covariates and exacerbations at the population level, but cannot be used to infer predictive value, in the temporal sense, of exacerbations at the subject level. For example, an average seasonal reduction in am PEF was found to be associated with an exacerbation, although the magnitude of the PEF effect and its clinical relevance are difficult to assess on a subject level. Over a 90-day average, a drop of 5% was associated with a 22% increased risk of exacerbation.

Warning signs of an exacerbation obtained from diary card information only manifest themselves when the exacerbation is very imminent, 1 day or less. Our pediatric study parallels the findings of Tattersfield et al16 that similar patterns of changes in symptom score, PEF, and bronchodilator rescue use occurred before and during exacerbation in an adult asthma clinical trial. In addition, peak flow monitoring did not enhance the predictive value for an exacerbation relative to symptoms alone. Recent evidence also supports the limited applicability of home lung function monitoring in gauging asthma activity.17, 18 The limited sensitivities and predictive values of symptoms, short-acting β-agonist rescue use, and changes in PEF alone or in combination suggest that there may be additional factors that may reliably predict the onset of an exacerbation. None of the factors was convincing enough to make decisions given the planned logistics that were used to initiate prednisone in this clinical trial. Perhaps intervening aggressively under close medical supervision in the setting of a clinical trial reduced the power to determine this relationship. Studies in which intervention was not proactive to prevent exacerbations would probably have the capacity to examine better the associations between changes in diary card information and risk of an imminent exacerbation. Serial measures of airway inflammation may offer more sensitive real-time predictors for exacerbations, as has been suggested with other surrogate markers of disease activity, including daily eNO monitoring.19 Although speculative, it is also possible that a combination of real-time measurements of airway inflammation (ie, eNO) with airflow and symptoms may have better ability to predict an exacerbation long before the occurrence of an exacerbation.20

In summary, our analysis of exacerbations in children with mild-to-moderate persistent asthma in a multicenter clinical trial suggests that children with previous exacerbations requiring a systemic course of corticosteroids are at high risk for future exacerbations, despite the use of long-term controller therapy. This marker of disease severity might identify a distinct asthma phenotype characterized by an exaggerated host response to common triggers that deserves further investigation for mechanisms. Although exacerbation risk can be reduced by treatment, specifically inhaled corticosteroids, better indicators are needed to predict an imminent exacerbation.

Clinical implications

Although exacerbation risk can be reduced by treatment, specifically inhaled corticosteroids, better indicators are needed to predict and thus prevent asthma exacerbations.

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Fig E1. 

  • View full-size image.
  • Sensitivity values expressed as percentages of participants in the different treatment groups (montelukast, blue; PACT combination, green; and FP monotherapy, orange) reporting any of or combination of the following recent changes: (A) symptoms (ie, 2-point increase); (B) albuterol use (at least 8 inhalations per day of the exacerbations); (C) PEF (20% reduction); and (D) any of the 3 changes.

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Table E1. 

Sensitivity and specificity values of diary card documented changes in PACT indicative of a 2-level increase in symptom severity score, albuterol use of 8 inhalations, and a 20% reduction in PEF within a 24-hour period

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Table E2. 

Positive predictive values of diary card documented changes in PACT indicative of a 2-level increase in symptom severity score, albuterol use of 8 inhalations, and a 20% reduction in PEF within a 24-hour period

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Table E3. 

Negative predictive values of diary card documented changes in PACT indicative of a 2-level increase in symptom severity score, albuterol use of 8 inhalations, and a 20% reduction in PEF within a 24-hour period

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References 

  1. Pauwels RA, Pedersen S, Busse WW, Tan WC, Chen YZ, Ohlsson SV, et al. Early intervention with budesonide in mild persistent asthma: a randomised, double-blind trial. Lancet. 2003;361:1071–1076
  2. CAMP . Long-term effects of budesonide or nedocromil in children with asthma. Childhood Asthma Management Program Research Group. N Engl J Med. 2000;343:1054–1063
  3. Schatz M, Mosen D, Apter AJ, Zeiger RS, Vollmer WM, Stibolt TB, et al. Relationships among quality of life, severity, and control measures in asthma: an evaluation using factor analysis. J Allergy Clin Immunol. 2005;115:1049–1055
  4. Sorkness CA, Lemanske RF, 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
  5. Rasmussen F, Taylor DR, Flannery EM, Cowan JO, Greene JM, Herbison GP, et al. Risk factors for hospital admission for asthma from childhood to young adulthood: a longitudinal population study. J Allergy Clin Immunol. 2002;110:220–227
  6. Lieu TA, Quesenberry CP, Sorel ME, Mendoza GR, Leong AB. Computer-based models to identify high-risk children with asthma. Am J Respir Crit Care Med. 1998;157:1173–1180
  7. Farber HJ. Risk of readmission to hospital for pediatric asthma. J Asthma. 1998;35:95–99
  8. Farber HJ, Johnson C, Beckerman RC. Young inner-city children visiting the emergency room (ER) for asthma: risk factors and chronic care behaviors. J Asthma. 1998;35:547–552
  9. McCoy K, Shade DM, Irvin CG, Mastronarde JG, Hanania NA, Castro M, et al. American Lung Association Asthma Clinical Research Centers. Predicting episodes of poor asthma control in treated patients with asthma. J Allergy Clin Immunol. 2006;118:1226–1233
  10. National Asthma Education and Prevention Program: Expert Panel Report 3 (EPR 3): guidelines for the diagnosis and management of asthma—summary report 2007. J Allergy Clin Immunol. 2007;120(suppl):S94–S138
  11. Gergen PJ, Mitchell H, Lynn H. Understanding the seasonal pattern of childhood asthma: results from the National Cooperative Inner-City Asthma Study (NCICAS). J Pediatr. 2002;141:631–636
  12. Reeves MJ, Lyon-Callo S, Brown MD, Rosenman K, Wasilevich E, Williams SG. Using billing data to describe patterns in asthma-related emergency department visits in children. Pediatrics. 2006;117:S106–S117
  13. Silverman RA, Stevenson L, Hastings HM. Age-related seasonal patterns of emergency department visits for acute asthma in an urban environment. Ann Emerg Med. 2003;42:577–586
  14. Silverman RA, Ito K, Stevenson L, Hastings HM. The relationship of fall school opening and emergency department asthma visits in a large metropolitan area. Arch Pediatr Adolesc Med. 2005;159:818–823
  15. Murray CS, Poletti G, Kebadze T, Morris J, Woodcock A, Johnston SL, et al. Study of modifiable risk factors for asthma exacerbations: virus infection and allergen exposure increase the risk of asthma hospital admissions in children. Thorax. 2006;61:376–382
  16. Tattersfield AE, Postma DS, Barnes PJ, Svensson K, Bauer CA, O'Byrne PM, et al. Exacerbations of asthma: a descriptive study of 425 severe exacerbations. The FACET International Study Group. Am J Respir Crit Care Med. 1999;160:594–599
  17. Brouwer AF, Roorda RJ, Brand PL. Home spirometry and asthma severity in children. Eur Respir J. 2006;28:1131–1137
  18. Buist AS, Vollmer WM, Wilson SR, Frazier EA, Hayward AD. A randomized clinical trial of peak flow versus symptom monitoring in older adults with asthma. Am J Respir Crit Care Med. 2006;174:1077–1087
  19. Pijnenburg MW, Floor SE, Hop WC, De Jongste JC. Daily ambulatory exhaled nitric oxide measurements in asthma. Pediatr Allergy Immunol. 2006;17:189–193
  20. Gelb AF, Flynn Taylor C, Shinar CM, Gutierrez C, Zamel N. Role of spirometry and exhaled nitric oxide to predict exacerbations in treated asthmatics. Chest. 2006;129:1492–1499

 Supported by grants 5U10HL064287, 5U10HL064288, 5U10HL064295, 5U10HL064307, 5U10HL064305, and 5U10HL064313 from the National Heart, Lung, and Blood Institute; General Clinical Research Centers at Washington University School of Medicine (M01 RR00036); and National Jewish Medical and Research Center (M01 RR00051).

 Disclosure of potential conflict of interest: R. A. Covar has received honoraria from Aerocrine NIOX and has received research support as a coinvestigator from Abbott Laboratories. S. J. Szefler has served as a consultant for AstraZeneca, GlaxoSmithKline, Aventis, Genentech, and Merck and has received research grants from the National Institutes of Health (NIH)/National Heart, Lung, and Blood Institute (NHLBI) Childhood Asthma Management Program, NHLBI Childhood Asthma Research and Education, the NIH/NHLBI Asthma Clin Res Network, the NIH/National Institute of Allergy and Infectious Diseases Inner-City Asthma Consortium, and Ross Pharmaceuticals. R. S. Zeiger has served as a consultant for Aerocrine, AstraZeneca, Dynavax, Genentech, Merck, Novartis, and GlaxoSmithKline and has received research support from Sanofi-Aventis, Teva-Pharmaceuticals, Merck, AstraZeneca, GlaxoSmithKline, and Genentech. C. A. Sorkness has served on the speakers' bureau for GlaxoSmithKline and has received research support from GlaxoSmithKline and Pharmaxis. The rest of the authors have declared that they have no conflict of interest.

PII: S0091-6749(08)01552-2

doi:10.1016/j.jaci.2008.08.021

The Journal of Allergy and Clinical Immunology
Volume 122, Issue 4 , Pages 741-747.e4, October 2008