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. Author manuscript; available in PMC: 2018 Oct 1.
Published in final edited form as: J Am Acad Dermatol. 2017 Aug 14;77(4):634–640. doi: 10.1016/j.jaad.2017.06.013

Variations in risk of asthma and seasonal allergies between early and late onset pediatric atopic dermatitis: a cohort study

Joy Wan 1,2, Nandita Mitra 2, Ole J Hoffstad 2, Joel M Gelfand 1,2, Albert C Yan 3, David J Margolis 1,2
PMCID: PMC5653257  NIHMSID: NIHMS883386  PMID: 28818439

Abstract

Background

Atopic dermatitis is associated with other allergic conditions, but variations in this ‘atopic march’ are poorly understood.

Objective

To determine the impact of the age of atopic dermatitis onset on the risk of asthma and seasonal allergies.

Methods

A cohort study was performed using the Pediatric Eczema Elective Registry, an observational cohort of subjects with pediatric onset atopic dermatitis.

Results

In total, 3966 children were included, and 73% reported atopic dermatitis onset before age 2. At baseline, subjects with atopic dermatitis onset at ages 3–7 or 8–17 had significantly lower rates of seasonal allergies and asthma than those with onset before age 2. During follow-up, the adjusted relative risks of incident seasonal allergies were 0.82 (95% CI 0.72–0.91) and 0.64 (95% CI 0.47–0.83) in the 3–7 and 8–17 years old onset groups compared to the ≤ 2 years old onset group. The adjusted risk of incident asthma was not significantly different between the older onset groups and the earliest onset group.

Limitations

Misclassification bias may arise from using self-reported onset age data.

Conclusions

The timing of atopic dermatitis onset may explain part of the variation in the atopic march. These findings may improve future risk stratification of patients for treatment.

Keywords: atopic dermatitis, atopic march, eczema, allergic rhinitis, hayfever, asthma, epidemiology, seasonal allergies

Introduction

Atopic dermatitis (AD) is a chronic skin disease that affects 15–30% of children and accounts for nearly $3.8 billion in direct spending in the U.S. annually. 13 It is associated with the development of other forms of allergy, and this so-called ‘atopic march’ is characterized by the progression from AD initially to seasonal allergies and asthma subsequently. 4 The defective barrier of AD-affected skin is thought to act as a site of primary sensitization, which then allows for allergic sensitization in the airways. Although an estimated 30–60% of patients with AD develop asthma and/or seasonal allergies, 5 not all individuals with AD complete the atopic march. This variation in the atopic march is not well characterized, and methods to risk stratify patients are needed.

One potential explanation for the varying risk of comorbid atopic conditions among AD patients could be differences in the timing of AD onset. Genetic factors that predispose to earlier onset AD may drive shared predispositions to other atopic conditions. 6,7 As repeated episodes of allergen exposure are associated with allergic sensitization in the airways, the likelihood of asthma and seasonal allergies may be higher with earlier onset AD. 4 Although AD most commonly begins in infancy, it may not begin until after age 7 in up to one-third of patients. 8,9 A distinction between early onset and late onset AD has been previously made, 7,1013 but its influence on the development of other atopy remains unclear. Prior studies have suggested a greater risk of asthma and seasonal allergies in children with AD onset in the first 2 years of life. 1012,14 However, older AD onset ages have not been adequately examined, and the duration of follow-up in prior studies has been relatively short. By understanding the relationship between AD onset age and associated atopy, we may better risk stratify patients and identify clinically meaningful subgroups of AD. Thus, we performed a study to examine the impact of AD onset age on the risk of seasonal allergies and asthma among children with AD.

Materials and Methods

Study population

We conducted a cohort study using the Pediatric Eczema Elective Registry (PEER), an ongoing observational cohort of persons with pediatric onset AD in the United States. PEER was initiated in 2004 to assess potential safety concerns of pimecrolimus, a topical calcineurin inhibitor commonly used to treat AD. 15 To date, PEER has already enrolled over 7700 individuals with a median follow-up duration of 7.5 years.

Enrollment criteria for PEER have been described in detail previously. 1619 Briefly, all subjects were 2 to 17 years old at the time of registry enrollment and had a clinical diagnosis of AD confirmed by their physician. Enrolling physicians included dermatologists, pediatricians, allergists, and primary care physicians from across the U.S. All subjects had used topical pimecrolimus for at least 42 days of the 180-day period preceding enrollment into PEER; however, they were not required to continue pimecrolimus use after enrollment, and many did not. 19 Exclusion criteria for PEER included lymphoproliferative disease, systemic or skin malignancy, or use of systemic immunosuppressants. In this study, we included only subjects with at least 3 years of follow-up, since allergic outcomes were assessed every 3 years.

Informed consent or assent was obtained from all participants or their caregivers at the time of enrollment into PEER. Our study protocol was granted exemption by the Institutional Review Board at the University of Pennsylvania.

Exposures and outcomes

The exposure of interest was the age of AD onset, which was directly reported by the subject or caregiver on a questionnaire administered at the time of registry enrollment. We categorized age of AD onset into ≤ 2 years old, 3–7 years old, and 8–17 years old, respectively referred to as early-, mid-, and late-onset AD in this paper. AD onset before age 2 was considered early-onset disease, as this is the most common definition used. 1113,20,21 Although there is no uniform definition for late-onset AD, we defined it to be that starting after age 8, as one recent study found this age to best differentiate between patients with and without filaggrin mutations, a known genetic risk factor for AD, suggesting that this age cut-off may separate different subgroups of AD. 6

Observation time began when subjects enrolled into PEER. The baseline presence of asthma and seasonal allergies was assessed via the enrollment questionnaire, which asked subjects if they had any past or present history of these conditions. During follow-up, subjects were mailed questionnaires every 3 years to assess for the development of asthma or seasonal allergies. Questions on asthma and seasonal allergies were adopted from the International Study of Asthma and Allergies in Childhood (ISAAC) study. 22 The primary outcome was incident patient/caregiver-reported asthma and seasonal allergies in subjects without these conditions at baseline. As a secondary outcome, the baseline prevalence of asthma and seasonal allergies were compared across the three onset age groups using a cross-sectional design. The enrollment questionnaire also assessed demographic characteristics and other covariates, including sex, race and ethnicity, age at registry enrollment, household income, personal history of allergies, family history of atopic disorders, and baseline AD symptoms.

Analysis

We examined the distribution of covariates among the three onset age groups using the chi-squared test for categorical variables and Kruskal-Wallis test for continuous data. Non-parametric test for trend was performed where appropriate. We compared the risk of prevalent and incident asthma and seasonal allergies among the three exposure groups using regression analysis. Since seasonal allergies and asthma are common outcomes, odds ratios obtained from logistic regression would overestimate the actual relative risks. Thus, we used an accepted statistical method to convert odds ratios to relative risk estimates. 23 Logistic regression models were adjusted for covariates determined a priori, including sex, race/ethnicity, age at enrollment, and follow-up duration. As outcomes were assessed only every three years, we performed logistic regression rather than Cox regression. Baseline AD severity was also examined but was excluded from the final multivariable models as it may be a potential mediator in the biologic pathway linking AD to other atopic disorders. All statistical analyses were performed using Stata (version 14.1, StataCorp, College Station, TX). The statistical significance level was set at α = 0.05. All hypothesis tests were two-sided.

Results

In PEER, 3966 individuals had at least 3 years of follow-up and were included in the study. Of them, 2913 developed AD before age 2, 725 developed AD at age 3–7, and 328 developed AD after age 8 (Table I). Forty-seven percent of subjects were male. The study population consisted of 39.4% white, 46.3% black, and 7.7% Hispanic individuals. The median age at enrollment was 6.4 (IQR 4.0–10.2) years old, and older enrollment ages were observed with older AD onset ages. The disease duration of AD at enrollment was longer for subjects with earlier onset AD (Table I). However, the median duration of follow-up was approximately 8 years in all three groups.

Table I.

Baseline characteristics of subjects (N=3966)

Characteristic Age of AD onset p*

≤ 2 years old N=2913 3–7 years old N=725 8–17 years old N=328

Male sex 1387 (47.61%) 338 (46.62%) 134 (40.85%) 0.07

Race/ethnicity
 White (non-Hispanic) 1183 (40.61%) 254 (35.03%) 124 (37.80%)
 Hispanic 211 (7.24%) 73 (10.07%) 23 (7.01%)
 Black/African American (non- Hispanic) 1324 (45.45%) 342 (47.17%) 170 (51.83%) 0.01
 Asian or Pacific Islander 94 (3.23%) 31 (4.28%) 4 (1.22%)
 American Indian/Alaskan Native 18 (0.62%) 4 (0.55%) 2 (0.61%)
 Multiracial 83 (2.85%) 21 (2.90%) 5 (1.52%)

Annual household income
 $0–$24,999 1022 (35.10%) 267 (36.88%) 127 (38.72%) 0.03
 $25,000–$49,999 477 (16.38%) 111 (15.33%) 51 (15.55%)
 $50,000–$74,999 306 (10.51%) 66 (9.12%) 27 (8.23%)
 $75,000–$99,999 202 (6.94%) 35 (4.83%) 18 (5.49%)
 $100,000 or more 219 (7.52%) 39 (5.39%) 17 (5.18%)
 Prefer not to answer 686 (23.56%) 206 (28.45%) 88 (26.83%)

Age at enrollment, y, median (IQR) 5.2 (3.4–8.5) 8.3 (6.5–10.9) 13.1 (11.3–15.1) <0.001

AD disease duration at enrollment, y, median (IQR) 4.5 (2.6–7.7) 3.7 (1.9–6.4) 2.1 (1.3–3.7) <0.001

Duration of follow-up, y, median (IQR) 8.4 (5.9–9.8) 8.2 (5.4–9.9) 8.4 (5.5–9.9) 0.03

AD disease control at enrollment
 Complete 129 (4.43%) 31 (4.29%) 26 (7.93%) <0.001^
 Good 1327 (45.59%) 393 (54.36%) 161 (49.09%)
 Limited 1158 (39.78%) 230 (31.81%) 113 (34.45%)
 Uncontrolled 297 (10.20%) 69 (9.54%) 28 (8.54%)

History of asthma 1500 (51.53%) 324 (44.69%) 141 (42.99%) <0.001^

History of seasonal allergies 2171 (74.63%) 507 (69.93%) 230 (70.12%) 0.01^

Family history of
 Eczema 1697 (58.26%) 386 (53.24%) 153 (46.65%) <0.001^
 Asthma 1268 (43.53%) 300 (41.38%) 148 (45.12%) 0.45
 Seasonal allergies 1600 (54.93%) 371 (51.17%) 188 (57.32%) 0.11

AD, atopic dermatitis; IQR, interquartile range

*

Chi-square or Kruskal-Wallis test

^

Non-parametric test for trend

At the time of PEER enrollment, 2908 (73.3%) subjects already had seasonal allergies and 1965 (49.5%) subjects already had asthma, with the early-onset group having the greatest proportions (Table I). At the time of registry enrollment, the prevalence of seasonal allergies was 74.6%, 69.9%, and 70.1% in the early-, mid-, and late-onset groups, respectively (Table II). Relative to the early-onset group, the unadjusted relative risk of prevalent seasonal allergies was 0.96 (95% CI 0.93–0.99) and 0.92 (95% CI 0.85–0.97) among the mid- and late-onset groups, respectively. After multivariable adjustment for sex, race, and age at registry enrollment, the relative risks for prevalent seasonal allergies were 0.91 (95% CI 0.88–0.95) and 0.82 (95% CI 0.74–0.89) in the mid- and late-onset groups, respectively. Among the 1054 subjects who did not have seasonal allergies at baseline, the cumulative incidence of new-onset seasonal allergies during follow-up was 56.1%, 46.8%, and 30.6% for the early-, mid-, and late-onset groups, respectively (Table II). The risk of incident (i.e. new onset after PEER enrollment) seasonal allergies significantly decreased with increasing age category of AD onset, with adjusted relative risks of 0.82 (95% CI 0.72–0.91) and 0.64 (95% CI 0.47–0.83) among the mid- and late-onset groups, respectively, compared to the early-onset group (Table II).

Table II.

Prevalence of seasonal allergies at enrollment and incidence of new-onset seasonal allergies during follow-up

Age of AD onset

≤ 2 years old 3–7 years old 8–17 years old

Prevalence of seasonal allergies at baseline (N=3966)

Prevalence (%) 2171 / 2909 (74.6%) 507 / 725 (69.9%) 230 / 328 (70.1%)
RR (95% CI), unadjusted 1 (ref) 0.96 (0.93–0.99) 0.92 (0.85–0.97)
RR (95% CI), adjusted1 1 (ref) 0.91 (0.88–0.95) 0.82 (0.74–0.89)

Incidence of seasonal allergies during follow-up (N=1054)

Cumulative incidence (%) 414 / 738 (56.1%) 102 / 218 (46.8%) 30 / 98 (30.6%)
RR (95% CI), unadjusted 1 (ref) 0.79 (0.71–0.87) 0.59 (0.45–0.75)
RR (95% CI), adjusted2 1 (ref) 0.82 (0.72–0.91) 0.64 (0.47–0.83)

AD, atopic dermatitis; CI, confidence interval; RR, relative risk

1

Adjusted for sex, race (white, black, other), and age at registry enrollment;

2

and duration of follow-up

Baseline prevalence of asthma was highest among the early-onset group (51.5%, 44.7% and 43.0% in the early-, mid-, and late-onset groups, respectively) (Table III). The adjusted relative risk of prevalent asthma was significantly lower among the mid- and late-onset groups (RR 0.85, 95% CI 0.80–0.91 and RR 0.71, 95% CI 0.61–0.82, respectively) compared to the early-onset group (Table III). Among the 1999 subjects without asthma at baseline, the cumulative incidence of new-onset asthma ranged from 29.9% in the late-onset group to 39.2% in the early-onset group (Table III). However, after adjusting for participant sex, race, age at enrollment, and duration of follow-up, the risks of incident asthma in the older onset age groups were not significantly different from the early-onset group (Table III). Additional adjustment for baseline AD disease control (rated as complete, good, limited, or uncontrolled) in the multivariable regression for both seasonal allergies and asthma did not alter the results (not shown).

Table III.

Prevalence of asthma at enrollment and incidence of new-onset asthma during follow-up

Age of AD onset

≤ 2 years old 3–7 years old 8–17 years old

Prevalence of asthma at baseline (N=3966)

Prevalence (%) 1500 / 2911 (51.5%) 324 / 725 (44.7%) 141 / 328 (43.0%)
RR (95% CI), unadjusted 1 (ref) 0.90 (0.85–0.95) 0.80 (0.71–0.89)
RR (95% CI), adjusted1 1 (ref) 0.85 (0.80–0.91) 0.71 (0.61–0.82)

Incidence of asthma during follow-up (N=1999)

Cumulative incidence (%) 553 / 1411 (39.2%) 128 / 401 (31.9%) 56 / 187 (29.9%)
RR (95% CI), unadjusted 1 (ref) 0.86 (0.79–0.94) 0.73 (0.60–0.89)
RR (95% CI), adjusted2 1 (ref) 0.96 (0.85–1.06) 0.92 (0.72–1.12)

AD, atopic dermatitis; CI, confidence interval; RR, relative risk

1

Adjusted for sex, race (white, black, other), and age at registry enrollment;

2

and duration of follow-up

Discussion

In this study, we observed that early-onset AD is associated with a greater risk of seasonal allergies and asthma than later onset AD. Compared to children with AD onset before age 2, those with AD onset after age 8 had an 18% lower risk of prevalent seasonal allergies and 29% lower risk of prevalent asthma at the time of registry enrollment. Moreover, children without seasonal allergies at the time of or soon after AD onset were significantly less likely to develop such allergies in subsequent years (i.e. incident allergies in our study) if their AD began after age 2. Children with late-onset AD had a 36% lower risk of incident seasonal allergies compared to children with early-onset AD. In contrast, we did not observe a statistically significant difference in the risk of incident asthma between the early- and late-onset groups. One potential explanation for this finding could be that if asthma were to develop, it tends to occur very soon after AD onset and consequently leads to similar rates of incident AD across the different onset age groups during the later years of follow-up in our study. It may also be possible that age of AD onset impacts asthma differently than seasonal allergies.

Previous examinations of AD onset age and other atopic conditions have been mixed. In repeated cross-sectional studies of 5- to 7-year-old German children, Mohrenschlager et al. observed that early-onset AD before age 2 was associated with a 6-fold increased odds of asthma by age 5–7 while late-onset AD was associated with a 2-fold increased odds. 11 However, the odds of hayfever were similar for early- and late-onset AD. In another study, AD onset within the first ≤2 years of life was associated with an increased risk of asthma by age 7 in boys only. 14 In a cohort of children at high risk of atopy, Carlsten et al. observed that children with early-onset AD had significantly greater odds of asthma by age 7 while only those with persistent and early-onset AD had significantly greater odds of allergic rhinitis by age 7. 12

Our study is one of the few studies that have been designed primarily to examine the impact of AD onset age on the risk of subsequent atopy. Unlike previous studies, we performed multivariable regression to adjust for potential confounders and estimated actual relative risks, which are more appropriate than odds ratios for this study design and outcome. Furthermore, our study examines a larger number of AD patients across a broader range of ages. While prior studies have focused mostly on the development of other atopy before age 7, our study follows individuals into adolescence and early adulthood.

The finding that AD patients’ risk of other atopic disorders varies by the timing of their AD onset has several potential implications. First, the age of AD onset may be useful for disease prognostication and identifying clinically meaningful subgroups of AD. Second, our results may improve the risk stratification of AD patients for future treatment and prevention strategies targeting the atopic march, such as the biologic medications that have been recently approved or under development. 5 Our results may also inform the efficient design of future trials of such interventions. Third, early-onset and late-onset AD may differ in other clinically important ways beyond the atopic march, an area that warrants further study. Finally, although asthma and seasonal allergies risk vary by the age of AD onset, approximately 30% of patients with late-onset AD still develop these disorders, underscoring the importance of screening all AD patients for atopic comorbidities and counseling them on their future risk.

As with all studies, our study is not without potential limitations. First, misclassification bias and limitations in recall are possible with respect to self-reported data on AD onset age. However, since we are using 3 broad age categories rather than more granular data, the impact of this potential bias is minimized. There may also be variation in the diagnosis of AD across different enrolling physicians in PEER. As with many observational cohorts of AD patients, the Hanifin and Rajka criteria were not specifically used. However, since PEER is a population-level study, using a physician-based clinical diagnosis of AD is more generalizable and reflects the overall population of children with AD seeking treatment in the U.S. Second, it is possible that individuals who enroll in PEER may be more likely to report concomitant illnesses thereby leading to an overestimation of asthma and seasonal allergy rates. However, the rates of atopy observed in our study are similar to what has been previously reported in the literature. 5 Moreover, subjects in PEER were unaware of our study hypothesis, and we would not expect systematic bias in their reporting of atopic comorbidities by their age of AD onset. Third, loss to follow-up may be a limitation; however, the repeated survey response rate in PEER has exceeded 75% on average at each time point. 17 Fourth, since PEER is not an inception cohort, subjects entered into our cohort at different times in their AD disease course. However, if the null hypothesis that rates of asthma and seasonal allergy are similar across different AD onset ages were true, then we would expect a higher incidence of other atopy in the older onset groups, since those participants were generally earlier in their AD disease course at PEER enrollment than participants with early-onset AD.

Finally, it is possible that our findings may not generalize to all patients with pediatric onset AD. Since pimecrolimus is approved to treat mild to moderate AD and any individuals on systemic immunosuppressants were excluded from PEER, our results may be less generalizable to patients with severe AD. It is also possible that fewer subjects with later onset AD were enrolled in PEER if they were less likely to be prescribed pimecrolimus, which may also limit generalizability. We also do not know how the heterogeneity and timing of treatments used for AD may modulate the risk of other atopy. An interaction may be possible between AD age of onset and pimecrolimus use on atopic outcomes; however, this potential interaction cannot be directly assessed as PEER lacks data on subjects without any pimecrolimus use. Nevertheless, topical calcineurin inhibitors are a common therapy approved for use across the full age range of eligible PEER subjects. Furthermore, subjects in PEER were not required to continue pimecrolimus use after enrollment into PEER, and many indeed did not. 19 Finally, PEER is one of the largest cohorts of AD patients in the U.S. and provides a racially, economically, and geographically diverse study population.

In conclusion, our results suggest that the age of AD onset may explain part of the variation in the atopic march among children with AD. Future studies with longer follow-up and additional studies of adult-onset AD will help to confirm and extend our findings. Further characterization of early-onset and late-onset AD with respect to genetic risk factors and other outcomes, such as AD disease severity or response to therapy, will also be needed.

Acknowledgments

Funding sources: This study was supported by grants from the Dermatology Foundation (J.W.), National Institutes of Health T32-AR007465 (J.W.) and K24-AR064310 (J.M.G.), and Valeant Pharmaceuticals (D.J.M.). The data source used in this study is the Pediatric Eczema Elective Registry (PEER), which is a study funded by Valeant Pharmaceuticals through a grant to D.J.M. However, Valeant had no role in the design and conduct of the study; collection, management, analysis and interpretation of data; preparation, review, or approval of the manuscript; or the decision to submit the manuscript for publication.

Abbreviations

AD

atopic dermatitis

CI

confidence interval

IQR

interquartile range

PEER

Pediatric Eczema Elective Registry

PY

person-year

Footnotes

IRB status: This study has been granted exempt status by the Institutional Review Board at the University of Pennsylvania.

Prior presentation: This work has been presented at the American DermatoEpidemiology Network and International Eczema Council meetings at the 2016 Society for Investigative Dermatology Annual Meeting.

Conflicts of interest: The Pediatric Eczema Elective Registry (PEER) is funded by Valeant Pharmaceuticals, a company that makes pimecrolimus, a medication for atopic dermatitis. The PEER study is an FDA-mandated study as part of the FDA approval process. J.M.G. is a consultant of and has received grants (to the University of Pennsylvania) from Regeneron and Sanofi.

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