Literature DB >> 27106203

Associations of wheezing phenotypes with late asthma outcomes in the Avon Longitudinal Study of Parents and Children: A population-based birth cohort.

Raquel Granell1, A John Henderson2, Jonathan A Sterne2.   

Abstract

BACKGROUND: Variable patterns of childhood wheezing might indicate differences in the cause and prognosis of respiratory illnesses. Better understanding of these patterns could facilitate identification of modifiable factors related to development of asthma.
OBJECTIVES: We characterized childhood wheezing phenotypes from infancy to adolescence and their associations with asthma outcomes.
METHODS: Latent class analysis was used to derive phenotypes based on patterns of wheezing recorded at up to 14 time points from birth to 16½ years among 12,303 participants from the Avon Longitudinal Study of Parents and Children. Measures of lung function (FEV1, forced vital capacity [FVC], and forced expiratory flow between 25% and 75% [FEF25-75]) and fraction of exhaled nitric oxide (Feno) were made at 14 to 15 years of age.
RESULTS: Six wheezing phenotypes were identified: never/infrequent, preschool-onset remitting, midchildhood-onset remitting, school age-onset persisting, late childhood-onset persisting, and continuous wheeze. The 3 persistent phenotypes were associated with bronchodilator reversibility of 12% or greater (BDR) from baseline (odds ratio [OR] range, 2.14-3.34), a Feno value of 35 ppb or greater (OR range, 3.82-6.24), and lung function decrements (mean range of differences: -0.22 to -0.27 SD units (SDU) for FEV1/FVC ratio and -0.21 to -0.33 SDU for FEF25-75) compared with never/infrequent wheeze. Midchildhood-onset (4½ years) remitting wheeze was associated with BDR (OR, 1.77; 95% CI, 1.11-2.82), a Feno value of 35 ppb or greater (OR, 1.72; 95% CI, 1.14-2.59), FEV1/FVC ratio decrements (OR, -0.22 SDU; 95% CI, -0.36 to -0.08 SDU), and FEF25-75 decrements (OR, -0.16 SDU; 95% CI, -0.30 to -0.01 SDU). Preschool-onset (18 months) remitting wheeze was only associated with FEV1/FVC ratio decrements (OR, -0.15 SDU; 95% CI, -0.25 to -0.05 SDU) and FEF25-75 decrements (OR, -0.14 SDU; 95% CI, -0.24 to -0.04 SDU). The persisting phenotypes showed evidence of sex stratification during adolescence.
CONCLUSIONS: Early childhood-onset wheezing that persists into adolescence represents the clearest target group for interventions to maximize lung function outcomes.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ALSPAC; adolescence; childhood; latent class; wheezing phenotypes

Mesh:

Year:  2016        PMID: 27106203      PMCID: PMC5052126          DOI: 10.1016/j.jaci.2016.01.046

Source DB:  PubMed          Journal:  J Allergy Clin Immunol        ISSN: 0091-6749            Impact factor:   10.793


Asthma is a heterogeneous disease that displays phenotypic variation throughout the life course. Prospective longitudinal studies date the origins of a high proportion of asthma cases to early childhood, and variations in the natural history of childhood wheezing are associated with different long-term outcomes. Therefore the search for causal factors influencing the development and natural course of asthma has focused on early life. Cohort studies recruited in pregnancy or soon after birth have examined associations between early-life influences and childhood asthma, but only a few factors with modest effects have been identified, and these do not explain recent increases in childhood asthma prevalence. A possible explanation for difficulties in identifying causes of childhood wheezing is that phenotypic heterogeneity is a manifestation of underlying differences in the pathophysiology of asthma endotypes, each having different genetic and environmental influences. Characterization of wheezing phenotypes in children might help clarify the underlying mechanisms through which asthma occurs and improve the power to detect causal factors. A seminal example of a temporal approach to characterizing wheezing phenotypes reported in 1995 by the Tucson Children's Respiratory Study drew attention to the distinction between transient early wheezing and persistent or later-onset wheezing in their associations with subsequent asthma history. Subsequently, we applied data-driven approaches to identify 6 wheezing phenotypes using repeated measures of wheezing in the Avon Longitudinal Study of Parents and Children (ALSPAC). Our methods and results have been replicated/validated in several independent cohorts, with remarkable similarity in the patterns of wheezing phenotypes characterized in different populations.4, 5 Wheezing phenotypes defined by using this approach have clear differences in their associations with clinical markers of asthma, and we have also reported associations with early risk factors and differences in genetic associations, suggesting that these are distinct biological entities.7, 8 Others have shown face validity of statistically derived phenotypes compared with those defined by using conventional clinical criteria and identified a novel clinical phenotype characterized by unremitting wheeze, low lung function, and poor bronchodilator response but without an asthma diagnosis. However, to date, there have been few novel insights into how modifiable environmental factors might influence the onset of specific asthma subtypes, which would be a prerequisite for primary or secondary prevention of disease. Adolescence is a crucial period, as is very early childhood, in the natural history of asthma and wheezing illnesses. The most obvious manifestation is the well-described “sex switch” in asthma prevalence that occurs during the transition from early childhood to midchildhood, when male asthma predominates, to a female preponderance in young adults. There has been much speculation that hormonal influences, particularly the effect of estrogens on inflammation, could underpin this change by increasing asthma incidence in postpubertal female subjects. However, adolescence is a time of great changes in lifestyle and behaviors, as well as biological and physiologic processes. Therefore environmental risk factors during this period might influence asthma natural history and thus be amenable to modification. The aims of this study were to define extended wheezing phenotypes by using repeat measurements of wheeze made regularly during the first 16½ years of life and to investigate associations of these extended phenotypes with physician-diagnosed asthma, lung function, and Feno measures at age 14 to 15 years.

Methods

ALSPAC is a longitudinal, population-based birth cohort study that included 14,062 live-born children. The study protocol has been described previously, and further details can be found in the Methods section in this article's Online Repository at www.jacionline.org. Ethical approval for the study was obtained from the ALSPAC Ethics and Law Committee and Local Research Ethics Committees. The study Web site contains details of all the data that are available through a fully searchable data dictionary at www.bris.ac.uk/alspac/researchers/data-access/data-dictionary/.

Asthma, atopy, and lung function outcomes

Doctor-diagnosed asthma ever was defined based on parental report at 91 months (7½ years) and 166 months (14 years). Based on parental report of doctor-diagnosed asthma ever at 91 months (7½ years) and 166 months (14 years) and parental report of current asthma at 166 months (14 years), we defined asthma status as follows: no asthma if the subject never had doctor-diagnosed asthma, remittent if doctor-diagnosed asthma was reported by 7½ years but no asthma symptoms were reported at 14 years, incident if doctor-diagnosed asthma was reported by 14 years but not at 7½ years, and persistent if doctor-diagnosed asthma was reported at 7½ and 14 years and asthma symptoms were reported at 14 years. Atopy was measured at a research clinic at age 7½ years, as previously described. Spirometry was done in a research clinic at ages 8½ and 15 years by using methods described previously. Lung function at 15 years was defined as the highest of 3 measures before and 15 minutes after receiving 400 μg of salbutamol administered by using metered aerosol and a spacer.15, 16 Postsalbutamol lung function was used as the primary outcome of this study. Presalbutamol lung function measures were used for sensitivity analyses and for comparison with findings at 8 years. FEV1, forced vital capacity (FVC), and forced expiratory flow between 25% and 75% (FEF25-75) were converted into sex-, age-, and height-adjusted SD units (SDU).17, 18 From presalbutamol and postsalbutamol lung function measurements, we calculated percentage change of FEV1 from baseline as follows: ([Post-FEV1] − [Pre-FEV1])/(Pre-FEV1 × 100%) and defined a change of 12% or greater as evidence of bronchodilator reversibility (BDR). A fraction of exhaled nitric oxide (Feno) value of greater than 35 ppb was used to define the likely presence of eosinophilic airway inflammation. Additional details of spirometric methods are provided in the Methods section in this article's Online Repository.

Early wheezing phenotypes at 6 to 81 months of age

Phenotypes of early childhood wheezing based on children's history of wheezing from 6 months to 81 months (7 years) of age were previously identified and published: (1) never/infrequent wheeze (68% of children) was defined as an approximately 10% prevalence of wheezing at 6 months and decreasing prevalence of sporadic wheeze thereafter, including children who never reported wheeze; (2) transient early wheeze (10%) was defined as a 50% to 60% prevalence of wheeze up to 18 months, decreasing to low prevalence from 42 months; (3) prolonged early wheeze (8%) was defined as a peak prevalence of wheeze of around 65% at 30 months, decreasing to low prevalence from 69 months; (4) intermediate-onset wheeze (2%) was defined as a low prevalence of wheeze up to 18 months, increasing rapidly to high prevalence from age 42 months; (5) late-onset wheeze (5%) was defined as an approximately 20% prevalence of wheeze up to 42 months, increasing to more than 50% prevalence thereafter; and (6) persistent wheeze (7%) was defined as a 65% prevalence of wheeze at 6 months and approximately 90% prevalence thereafter.

Latent class analysis

Parental reports of children's wheezing were obtained from questionnaires sent to mothers at approximately annual intervals from 6 to 198 months (16½ years) and used in a longitudinal latent class analysis to define phenotypes of wheezing, as previously described.2, 20 Starting with a model assuming 3 phenotypes, we compared models with increasing numbers of phenotypes using the Bayesian information criterion, the model entropy, and the Lo-Mendell-Rubin adjusted likelihood ratio tests to compare models with increasing numbers of phenotypes. The current article uses results based on analysis of participants with at least 2 responses to questionnaires about wheezing (n = 12,303 participants, excluding triples and quadruples) because these analyses yielded similar results to those based on complete cases (n = 3170 participants, see Table E1 in this article's Online Repository at www.jacionline.org). Based on the optimal 6-class model (Fig 1), we ran 2 additional models:
Table E1

Characteristics of children with at least 2 observations of wheeze (study population, n = 12,303) who did and did not have complete data on wheezing

Children with complete data on wheezing (n1 = 3,170)
Children with 2-13 observations of wheezing (n2 = 9,133)
Two-sample test of proportions
No./totalPercentNo./totalPercentP value
Potential confounders
 Male sex1,560/3,17049.24,770/9,13352.2.003
 Lower maternal education1,547/3,15149.15,614/8,18468.6<.0001
 Having ≥1 sibling (parity)1,597/3,11851.24,551/8,07256.4<.0001
 Maternal history of asthma or allergy1,510/3,10748.63,629/8,02545.2.001
 Maternal smoking during pregnancy439/3,12714.02,495/8,09630.8<.0001
 Maternal anxiety during pregnancy479/3,02015.91,831/7,52024.3<.0001
 Low birth weight (<2.5 kg)134/3,1344.3441/8,3975.3.032
 Preterm delivery (<37 wk)153/3,1704.8529/8,5046.2.004
 Maternal smoking during first year411/3,12213.22,118/7,69027.5<.0001
 Day care attendance during first year242/3,1247.7399/7,5055.3<.0001
Variables used in the latent class model
 Reported wheezing at:
 6 mo709/3,17022.42,165/7,83427.6<.0001
 18 mo780/3,17024.62,205/7,69128.7<.0001
 30 mo612/3,17019.31,632/6,77524.1<.0001
 42 mo (3½ y)487/3,17015.41,269/6,80318.7<.0001
 54 mo505/3,17015.91,269/6,22120.4<.0001
 69 mo435/3,17013.7893/5,42616.5.0007
 81 mo393/3,17012.4734/5,22514.0.70
 91 mo334/3,17010.5544/5,03210.8.14
 103 mo (8½ y)386/3,17012.2664/4,99013.3.41
 128 mo376/3,17011.9559/4,47512.5.37
 140 mo360/3,17011.4509/4,22912.0.83
 157 mo338/3,17010.7402/3,82810.5.44
 166 mo339/3,17010.7424/3,76011.3.86
 198 mo (16½ y)335/3,17010.6257/2,46510.4.39
 Atopy at 7½ y (skin prick test)524/2,43321.5879/4,25820.6.70

Educated to General Certificate of Education level (school-leaving certificate) or lower.

Defined as being in the fourth quantile of the Crown-Crisp Experiential Index.

Fig 1

Estimated prevalence of wheezing at each time point from birth to 16½ years for each of the 6 wheezing phenotypes identified by using latent class analysis in 12,303 participants with at least 2 observations of wheeze.

1. A sex-stratified model allowing the trajectory of wheezing phenotypes to differ between male and female subjects (Fig 2): We estimated the prevalence of wheezing in the extended wheezing phenotypes separately for male and female subjects and constructed single omnibus Wald tests (model test in Mplus) to test equality for each pair of wheezing phenotypes in turn (sex invariance of the optimal 6-class model). The null hypothesis of this test is no difference in the trajectory of wheezing for male and female subjects. We reported in Table I the mean difference of the probability of wheezing (based on the 14 time points) and the Wald test P value for each wheezing phenotype.
Fig 2

Estimated prevalence of wheezing at each time point from birth to 16½ years for each of the 6 wheezing phenotypes identified by using latent class analysis in 12,303 participants with at least 2 observations of wheeze by sex.

Table I

Distribution of the extended phenotypes of wheezing from 0 to 16½ years among female (n = 5973) and male (n = 6330) members of the study population

PhenotypeFemale subjects, no. (%)Male subjects, no. (%)Mean probability differenceP value, Wald test
Never/infrequent wheeze3800 (63.6)3499 (55.3)0.01.004
Preschool-onset remitting wheeze1020 (17.1)1333 (21.1)0.03.33
Midchildhood-onset remitting wheeze444 (7.4)442 (7)0.06.53
School-age–onset persisting wheeze190 (3.2)312 (4.9)0.13.0061
Late childhood–onset persisting wheeze260 (4.4)357 (5.6)0.10<.0001
Continuous wheeze259 (4.3)387 (6.1)0.04.26

Most probable phenotype based on model estimated probabilities, including sex as a known class.

For each phenotype, the difference between male and female subjects of the probability of wheezing at each time point were calculated and then averaged.

2. Model with atopy (skin prick testing at 7½ years) as a covariate (see Fig E1 in this article's Online Repository at www.jacionline.org): This model allows the shape of the wheezing phenotypes to differ from the model without atopy; we report prevalence of atopy by phenotype.
Fig E1

Estimated prevalence of wheezing at each time point from birth to 16½ years for each of the 6 wheezing phenotypes identified by using latent class analysis in 12,303 children with at least 2 observations of wheeze, including atopic status as a covariate in the model.

P values (χ2 test) from the logistic regression models using female subjects as the baseline group were reported in Table II to examine sex differences among characteristics of interest. Associations of potential confounders with wheezing phenotypes were examined by using multinomial logistic regression models weighted for the probability of each subject belonging to each phenotype (details are shown in the Methods section and Table E2 in this article's Online Repository at www.jacionline.org). We identified the following variables as being associated with at least 1 of the wheezing phenotypes and adjusted for them in subsequent analyses: sex, maternal lower education level, having at least 1 sibling (parity), maternal history of asthma or allergy, maternal smoking during pregnancy, maternal anxiety during pregnancy, low birth weight (<2.5 kg), preterm delivery (<37 weeks' gestation), and day care attendance during the first year.
Table II

Characteristics of participants with at least 2 observations of wheeze (study population, n = 12,303) by sex

Participants with 2-14 observations of wheezing (n = 12,303)
Male subjects (n1 = 6,330)
Female subjects (n2 = 5,973)
P value (χ2 test)
No./totalPercentNo./totalPercent
Potential confounders
 Lower maternal education3,715/5,84863.53,446/5,48762.8.43
 Having ≥1 sibling (parity)3,202/5,77755.42,946/5,41354.4.29
 Maternal history of asthma or allergy2,652/5,72146.42,487/5,41146.0.68
 Maternal smoking during pregnancy1,570/5,77427.21,364/5,44925.0.009
 Maternal anxiety during pregnancy1,193/5,43422.01,117/5,10621.9.92
 Low birth weight (<2.5 kg)293/5,9514.9282/5,5805.1.75
 Preterm delivery (<37 wk)391/6,0236.5291/5,6515.1.002
 Maternal smoking during first year1,334/5,55724.01,195/5,25522.7.12
 Day care attendance during first year333/5,4936.1308/5,1366.0.89
Variables used in latent class model
 Reported wheezing at:
 6 mo1,683/5,67329.71,191/5,33122.3<.001
 18 mo1,730/5,62230.81,255/5,23924.0<.001
 30 mo1,312/5,14425.5932/4,80119.4<.001
 42 mo (3½ y)1,000/5,15919.4756/4,81415.7<.001
 54 mo1,035/4,86121.3739/4,53016.3<.001
 69 mo767/4,43417.3561/4,16213.5<.001
 81 mo646/4,32115.0481/4,07411.8<.001
 91 mo526/4,21812.5352/3,9848.8<.001
 103 mo (8½ y)626/4,16015.0424/4,00010.6<.001
 128 mo567/3,84814.7368/3,7979.7<.001
 140 mo508/3,69213.8361/3,7079.7<.001
 157 mo431/3,49012.3309/3,5088.8<.001
 166 mo427/3,47512.3336/3,4559.7<.001
 198 mo (16½ y)286/2,73910.4306/2,89610.6.88
 Atopy at 7½ y (skin prick test)825/3,36424.5578/3,32717.4<.001

Educated to the General Certificate of Education level (school-leaving certificate) or lower.

Anxious mothers were defined as being in the fourth quantile of the Crown-Crisp Experiential Index.

Table E2

Associations of possible confounders with wheezing phenotypes at 0 to 16½ years and asthma at 14 years (based on 12,303 children with at least 2 observations of wheezing)

Adjusted multinomial OR (95% CI)
Adjusted OR (95% CI) for ever doctor-diagnosed asthma at 14 y (n = 5,838)
Preschool-onset remitting wheeze (n = 1,605)Midchildhood-onset remitting wheeze (n = 620)School-age–onset persisting wheeze (n = 346)Late childhood–onset persisting wheeze (n = 324)Continuouswheeze (n = 420)Heterogeneity P value
Demographic, maternal, pregnancy, and child characteristics (adjusted by each other)
 Male sex1.39 (1.25-1.55)1.41 (1.21-1.66)1.54 (1.26-1.89)1.32 (1.09-1.60)1.80 (1.48-2.19).131.26 (1.11-1.42)
 Maternal lower education level0.96 (0.86-1.08)1.22 (1.02-1.45)0.92 (0.74-1.13)0.94 (0.77-1.14)0.95 (0.77-1.16).111.13 (1.00-1.28)
 Parity1.24 (1.11-1.38)1.38 (1.17-1.62)0.88 (0.72-1.07)1.02 (0.85-1.24)1.37 (1.12-1.67)1.2E-030.95 (0.84-1.07)
 Maternal history of asthma or allergy1.27 (1.14-1.42)1.65 (1.40-1.93)1.47 (1.20-1.80)1.42 (1.17-1.72)2.30 (1.88-2.81)1.9E-061.53 (1.35-1.73)
 Maternal smoking during pregnancy1.33 (1.17-1.51)1.46 (1.22-1.75)1.23 (0.97-1.56)1.24 (0.99-1.56)1.38 (1.10-1.72).711.19 (1.01-1.39)
 Maternal anxiety during pregnancy1.20 (1.14-1.26)1.25 (1.16-1.35)1.12 (1.02-1.23)1.14 (1.04-1.24)1.29 (1.18-1.41).081.13 (1.07-1.20)
Perinatal characteristics adjusted by demographic, maternal, pregnancy, and child characteristics
 Low birth weight (<2.5 kg)§1.00 (0.73-1.37)1.14 (0.73-1.78)1.47 (0.86-2.52)1.56 (0.93-2.60)1.63 (1.00-2.64).261.11 (0.77-1.61)
 Preterm delivery (<37 wk)§1.35 (1.07-1.70)1.43 (1.03-2.00)1.04 (0.65-1.67)0.94 (0.59-1.50)1.63 (1.11-2.39).301.16 (0.87-1.56)
Postnatal characteristics adjusted by demographic, maternal, pregnancy, child, perinatal, and other postnatal characteristics
 Maternal smoking during first year1.22 (0.98-1.51)1.15 (0.84-1.58)0.96 (0.64-1.44)1.01 (0.69-1.49)1.09 (0.74-1.61).801.06 (0.82-1.37)
 Day care attendance during first year1.28 (1.02-1.60)0.97 (0.66-1.41)0.72 (0.44-1.18)0.92 (0.59-1.42)1.07 (0.70-1.63).160.90 (0.70-1.17)

Compared with never/infrequent wheezing (n = 6,305) and using each child's phenotype probability as weights.

χ2 Test across phenotypes.

Educated to school-leaving certificate at 16 years (General Certificate of Education level) or lower.

Low birth weight was also adjusted by preterm delivery, but preterm delivery was not adjusted for low birth weight (because birth weight does not influence gestational age).

All analyses were done with Mplus 7.1 software (2006; Muthén & Muthén, Los Angeles, Calif) and Stata 13.1 software (StataCorp, College Station, Tex).

Results

Characteristics of the study population

Among 12,303 participants with at least 2 observations of wheezing from birth to 16½ years of age (the study population), 3,170 had complete data from all 14 questionnaires. Characteristics of participants with and without complete data are compared in Table E1. Participants with complete data were less likely to come from socially deprived backgrounds (lower prevalence of lower maternal education and maternal smoking) and had lower prevalence of reported wheezing in early childhood than participants with missing data. Corresponding results based on analysis of participants with complete reports of wheezing (n = 3,170) are available from the authors on request. Fig E2 in this article's Online Repository at www.jacionline.org shows the distribution of the number of observations of wheeze.
Fig E2

Distribution of 12,303 children with 2 to 14 (complete data) observations of wheeze.

Table II reports characteristics of the study population by sex. A total of 6330 participants were male, and 5973 were female. A similar proportion of male and female subjects had an asthmatic or allergic mother (46.4% male subjects vs 46.0% female subjects), at least 1 sibling (55.4% vs 54.4%), low birth weight (4.9% vs 5.1%), and attended day care during the first year (6.1% vs 6.0%). Male subjects were more exposed to maternal smoking during pregnancy (27.2% vs 25.0%, P = .009), and more male subjects were born preterm (6.5% vs 5.1%, P = .002) compared with female subjects. The prevalence of wheezing was higher in male compared with female subjects from 6 months (29.7% vs 22.3%, P < .001) to 166 months (12.3% vs 9.7%, P < .001); however, the prevalence of wheezing was similar at 198 months (10.4% vs 10.6%, P = .88). The prevalence of atopy determined by using skin prick tests at 7½ years was higher in male than female subjects (24.5% vs 17.4%, P < .001).

Late-childhood asthma outcomes

Table III shows the distributions of longitudinal and late-childhood asthma outcomes in the study population and restricted to participants with complete data on confounding variables. Among the phenotypes of wheezing from 0 to 7 years defined in our previous work, the most frequently occurring were transient early (1190 [10.2%] participants), prolonged early (822 [7.0%] participants), and persistent (899 [7.7%] participants) wheezing. Based on reports of doctor-diagnosed asthma ever by 7½ and 14 years, 1637 (23.2%) participants had experienced asthma by age 14 years, 707 (11.9%) had asthma by 7½ years but no asthma at 14 years (remittent asthma), 378 (6.3%) had incident asthma between 7½ and 14 years, and 446 (7.5%) had persistent asthma by 14 years. A total of 319 (8.3%) participants had BDR, and 680 (31.5%) participants had Feno values of greater than 35% ppb at 15 years. These proportions were similar when data was restricted to participants with complete data on confounders.
Table III

Longitudinal and late-childhood outcomes in the study population and restricted to participants with complete data on confounders

All participants in study population (n = 12,303)
Restricted to participants with complete data on confounders (n = 8,925)§
Total no.No. (%) or IQRTotal no.No. (%) or IQR
Longitudinal outcomes
 Wheezing phenotypes at 0-7 y11,6748,925
 Never/infrequent wheezing7,961 (68.2)6,154 (69.0)
 Transient early wheezing1,190 (10.2)884 (9.9)
 Prolonged early wheezing822 (7.0)623 (7.0)
 Intermediate-onset wheezing275 (2.4)223 (2.5)
 Late-onset wheezing527 (4.5)410 (4.6)
 Persistent wheezing899 (7.7)631 (7.1)
 Asthma status at 0-14 y5,9605,053
 No asthma4,429 (74.3)3,774 (74.7)
 Asthma by 7½ y but no asthma at 14 y707 (11.9)581 (11.5)
 Incident asthma between 7½ and 14 y378 (6.3)317 (6.3)
 Persistent asthma by 14 y446 (7.5)381 (7.5)
Late-childhood outcomes
 Ever doctor-diagnosed asthma by 14 y7,0521,637 (23.2)5,5951,270 (22.7)
 BDR at 15 y3,831319 (8.3)3,063258 (8.4)
 Feno ≥35% at 14-15 y2,159680 (31.5)1,721537 (31.2)
 z Score FEV1 (SDU) at 15 y3,657−0.61 to 0.643,046−0.62 to 0.64
 z Score FVC (SDU) at 15 y3,812−0.63 to 0.653,177−0.63 to 0.64
 z Score FEV1/FVC ratio at 15 y3,657−0.52 to 0.723,046−0.51 to 0.72
 z Score FEF25-75 (SDU) at 15 y3,812−0.66 to 0.633,177−0.67 to 0.64

IQR, Interquartile range.

Number of participants with data available.

Height-, age-, and sex-adjusted standard SDUs.

BDR of FEV1 defined as a change of greater than 12% in FEV1.

Confounders: sex, parity, maternal history of asthma or allergy, maternal smoking and anxiety during pregnancy, and preterm delivery.

Latent class analysis: Extended wheezing phenotypes at 0 to 16½ years of age

The best-fitting model based on 12,303 participants with reports of wheezing from 0 to 16½ years of age resulted in 6 extended wheezing phenotypes. Trajectories of prevalence of wheeze for each of these phenotypes are presented in Fig 1. We labeled the wheezing phenotypes as follows: never/infrequent wheeze (estimated number of participants, 7372 [59.9%]) with approximately 10% prevalence of wheezing at 6 months and decreasing prevalence of sporadic wheeze thereafter, including participants who never reported wheeze; preschool-onset remitting wheeze (2298 [18.7%]) with 50% to 60% prevalence of wheeze up to 18 months, decreasing to less than 10% prevalence from 69 months; midchildhood-onset remitting wheeze (923 [7.5%]) with peak prevalence of wheeze around 84% at 54 months, decreasing to less than 20% from 128 months; school age–onset persisting wheeze (524 [4.3%]) with less than 20% prevalence of wheeze up to 42 months, increasing rapidly to a peak prevalence of 87% at 103 months and then decreasing to 46% at 198 months; late childhood–onset persisting wheeze (580 [4.7%]) with 32% prevalence at 6 months, decreasing up to 91 months and increasing rapidly to a peak prevalence of 71% at 166 months; and continuous wheeze (606 [4.9%]) with approximately 41% prevalence of wheeze at 6 months and prevalence between 62% and 97% thereafter.

Sex-specific wheezing phenotypes

Fig 2 shows trajectories of prevalence of wheeze estimated separately in male and female subjects for each phenotype. The sex-stratified wheezing phenotypes were similar to the extended phenotypes and were given the same labels (see above). The prevalence of the preschool-onset remitting phenotype was lower for female (17%) than male (21%) subjects (Table I). There were modest differences in prevalence of the school age–onset persisting phenotype (3% of female and 5% of male subjects). The prevalence of both the late childhood–onset persisting and continuous wheeze phenotypes was approximately 4% for female and 6% for male subjects. The never/infrequent wheeze phenotype had a prevalence of 64% in female subjects and 55% in male subjects. The results from the Wald test strongly supported sex stratification of the school age–onset persisting (mean probability difference, 0.13; P = .0061) and late childhood–onset persisting (mean probability difference, 0.10; P < .0001) phenotypes (Table I), but no differences were observed for the other phenotypes, excluding never/infrequent wheeze. There was clear evidence (P = .004) that the never/infrequent wheeze phenotype differed between male and female subjects, but this difference was explained by between-sex differences in the prevalence of wheeze at the first (0.04) and last (0.03) time points within this phenotype. For other time points the between-sex differences were, on average, 0.01 or less, and the test P value increased to .38 in a sensitivity analysis excluding the first and last time points.

Model including atopy

Fig E1 depicts the slightly modified wheezing phenotype model when including atopy as an additional covariate. The phenotypes with the highest prevalence of atopy were the school age–onset persisting (72% atopic) and continuous wheezing (69% atopic) phenotypes, followed by the late childhood–onset persisting (48% atopic) and midchildhood-onset remitting (23% atopic) phenotypes. The never/infrequent wheeze (14% atopic) and preschool-onset remitting (11% atopic) phenotypes had the lowest prevalence of atopic participants.

Validation of the extended wheezing phenotypes

To validate the extended wheezing phenotypes, we examined the proportion of participants classified as having no asthma, remittent asthma, incident asthma, and persistent asthma in each wheezing phenotype (Fig 3, A). As expected, the never/infrequent wheeze phenotype had the highest proportion (91%) of participants with no asthma, whereas the continuous wheeze phenotype had the highest proportion (82%) of participants with persistent asthma. The preschool-onset remitting phenotype mostly overlapped with no asthma (73%) and remittent asthma (20%), whereas the midchildhood-onset remitting phenotype mostly overlapped with remittent asthma (58%), no asthma (21%), and persistent asthma (16%). The school age–onset persisting phenotype mostly overlapped with persistent asthma (47%), remittent asthma (28%), and no asthma (14%). The late childhood−onset persisting phenotype mostly overlapped with incident asthma (50%), no asthma (35%), and persistent asthma (11%).
Fig 3

Validation of wheezing phenotypes at 0 to 16½ years with asthma status at 0 to 14 years (A) and wheezing phenotypes at 0 to 7 years (B) in 12,303 participants with at least 2 observations of wheeze. CW, Continuous wheeze; LCP, late childhood–onset persisting wheeze; MCR, midchildhood-onset remitting wheeze; NI, never/infrequent wheeze; PSR, preschool-onset remitting wheeze; SAP, school age–onset persisting wheeze.

Fig 3, B, shows the proportion of participants classified with each of the previously published early childhood wheezing phenotypes for each extended wheezing phenotype. The never/infrequent wheeze phenotype had the highest proportion of early childhood never/infrequent wheezing (98% overlap), and the continuous wheeze phenotype overlapped mainly with early childhood persistent wheeze (66%) and intermediate-onset wheeze (25%). The preschool-onset remitting phenotype overlapped with early childhood transient early wheezing (53%) and prolonged early wheezing (33%). The midchildhood-onset remitting phenotype overlapped with early childhood persistent wheezing (60%) and with prolonged early, intermediate-onset, and late-onset wheezing (prevalence, 11% to 15%). The school age−onset persisting phenotype overlapped with early childhood late-onset wheezing (57%) and never/infrequent wheezing (24%). The late-childhood persisting phenotype mainly overlapped with early childhood never/infrequent wheezing (74%).

Associations of extended wheezing phenotypes with doctor-diagnosed asthma, Feno, and BDR at 14 to 15 years of age

All wheezing phenotypes were associated with substantially higher odds of doctor-diagnosed asthma ever at 14 years compared with the never/infrequent wheeze phenotype (Table IV). Associations were particularly strong for continuous (adjusted odds ratio [OR], 368; 95% CI, 181-747), school age−onset persisting (OR, 50.0; 95% CI, 35.2-71.0), and midchildhood-onset remitting (OR, 25.1; 95% CI, 19.4-32.4) wheeze. The school age−onset persisting, late childhood−onset persisting, and continuous wheeze phenotypes were strongly associated with Feno values of 35 ppb or greater and BDR compared with never/infrequent wheeze. The strongest associations were for continuous wheeze with Feno values of 35 ppb or greater (adjusted OR, 6.74; 95% CI, 3.93-11.54) and school age−onset persisting wheeze with BDR (OR, 3.34; 95% CI, 2.08-5.35). Midchildhood-onset remitting wheeze was associated with Feno values of 35 ppb or greater (OR, 1.87; 95% CI, 1.23-2.84) and BDR (OR, 1.77; 95% CI, 1.11-2.82) compared with never/infrequent wheeze. There was little evidence for associations of preschool-onset remitting wheeze with either Feno values of 35 ppb or greater or BDR.
Table IV

Adjusted associations of wheezing phenotypes at 0 to 16½ years with doctor-diagnosed asthma ever (n = 5595), Feno values (n = 1721), and FEV1 reversibility (n = 3063) at 14 to 15 years in participants with at least 2 observations of wheeze

Wheezing phenotype at 0-16½ yDoctor-diagnosed asthma ever at 14 y
Feno ≥35 ppb at 14-15 y
BDR >12% at 15 y
No. of asthmatic patients/totalAdjusted OR (95% CI)n1/totalAdjusted OR (95% CI)n2/totalAdjusted OR (95% CI)
Never/infrequent wheeze272/36611 (reference)290/11571 (reference)139/20031 (reference)
Preschool-onset remitting wheeze173/8702.73 (2.22-3.36)61/2431.00 (0.73-1.35)33/4721.18 (0.81-1.70)
Midchildhood-onset remitting wheeze231/33725.1 (19.4-32.4)42/1021.87 (1.23-2.84)21/2041.77 (1.11-2.82)
School age–onset persisting wheeze187/22350.0 (35.2-71.0)57/826.24 (3.82-10.21)27/1273.34 (2.08-5.35)
Late childhood–onset persisting wheeze161/25019.8 (15.0-26.2)38/663.70 (2.30-5.95)19/1312.14 (1.28-3.58)
Continuous wheeze246/254367.6 (181-747)49/716.74 (3.93-11.54)19/1262.61 (1.53-4.45)

n, Number of participants with Feno vales of 20 ppb or greater; n, number of participants with BDR.

Number of participants with data available (approximated from modal assignment).

Adjusted for sex, parity, maternal history of asthma or allergy, maternal smoking and anxiety during pregnancy, preterm delivery, low birth weight, and day care attendance during the first year.

Associations of extended wheezing phenotypes with lung function measures at 15 years

Continuous wheeze was associated with decrements of FEV1/FVC ratio (mean difference, −0.27 SDU; 95% CI, −0.45 to −0.09 SDU) and FEF25-75 (mean difference, −0.33 SDU; 95% CI, −0.51 to −0.15 SDU) compared with never/infrequent wheeze (Table V). The preschool- and midchildhood-onset remitting phenotypes were associated with a small decrement of FEV1/FVC ratio (mean difference, −0.15 SDU; [95% CI, −0.25 to −0.05 SDU] and −0.22 SDU [95% CI, −0.36 to −0.08 SDU]) and FEF25-75 (mean difference, −0.14 SDU [95% CI, −0.24 to −0.04 SDU] and −0.16 SDU [95% CI, −0.30 to −0.01 SDU], respectively) compared with never/infrequent wheeze. Midchildhood-onset remitting was also associated with an increment of FVC (0.20 SDU; 95% CI, 0.06-0.34 SDU) compared with never/infrequent wheeze. School-age–onset persisting wheeze was associated with small decrements of FEV1/FVC ratio (−0.22 SDU; 95% CI, −0.39 to −0.04 SDU), and late childhood–onset persisting wheeze was associated with small decrements of FEF25-75 (−0.21 SDU; 95% CI, −0.38 to −0.04 SDU) compared with never/infrequent wheeze.
Table V

Adjusted association of wheezing phenotypes at 0 to 16½ years with lung function measures at 15 years (postsalbutamol z scores) in participants with at least 2 observations of wheeze and spirometry done at 15 years

Wheezing phenotype at 0-16½ yFEV1 (SDU) at 15 y
FVC (SDU) at 15 y
FEV1/FVC ratio (SDU) at 15 y
FEF25-75 (SDU) at 15 y
No.Adjusted mean difference (95% CI)No.Adjusted mean difference (95% CI)No.Adjusted mean difference (95% CI)No.Adjusted mean difference (95% CI)
Never/infrequent wheeze19970 (reference)20940 (reference)19970 (reference)20940 (reference)
Preschool-onset remitting wheeze463−0.03 (−0.12 to 0.07)4770.05 (−0.05 to 0.14)463−0.15 (−0.25 to −0.05)477−0.14 (−0.24 to −0.04)
Midchildhood-onset remitting wheeze2030.09 (−0.06 to 0.23)2090.20 (0.06 to 0.34)203−0.22 (−0.36 to −0.08)209−0.16 (−0.30 to −0.01)
School-age–onset persisting wheeze1270.08 (−0.10 to 0.26)1310.18 (0.00 to 0.35)127−0.22 (−0.39 to −0.04)131−0.16 (−0.33 to 0.02)
Late childhood–onset persisting wheeze130−0.02 (−0.19 to 0.15)1350.02 (−0.15 to 0.18)130−0.08 (−0.25 to 0.09)135−0.21 (−0.38 to −0.04)
Continuous wheeze126−0.08 (−0.27 to 0.10)1310.04 (−0.14 to 0.22)126−0.27 (−0.45 to −0.09)131−0.33 (−0.51 to −0.15)

Number of participants with data available (approximated from modal assignment).

Adjusted for sex, parity, maternal history of asthma or allergy, maternal smoking and anxiety during pregnancy, preterm delivery, low birth weight, and day care attendance during the first year.

Crude associations are presented in Tables E3 and E4 in this article's Online Repository at www.jacionline.org: the estimates were little attenuated by adjustment for potential confounders. Corresponding association with lung function measures at 8½ years are presented in Table E5 in this article's Online Repository at www.jacionline.org. The association of midchildhood-onset remitting wheeze with FVC at 15 years was not observed at 8 years. However, associations of preschool-onset remitting, midchildhood-onset remitting, school age–onset persisting, and continuous wheeze with FEV1/FVC ratio were observed at 8 years and appeared attenuated at 15 years, whereas associations of preschool-onset remitting, midchildhood–onset remitting, late childhood–onset persisting, and continuous wheeze with FEF25-75 were observed at 8 years and increased at 15 years. Table E6 in this article's Online Repository at www.jacionline.org reports the associations with presalbutamol lung function measures at 15 years, and Table E7 in this article's Online Repository at www.jacionline.org reports the associations with presalbutamol lung function measures at 15 years further adjusted for lung function measures at 8½ years.
Table E3

Crude associations of wheezing phenotypes at 0 to 16½ years with doctor-diagnosed asthma ever, Feno values of 35 ppb or greater, and BDR of greater than 12% at 14 to 15 years (based on 12,303 children with ≥2 observations of wheeze)

Wheezing phenotype at 0-16½ yDoctor-diagnosed asthma ever at 14 y
Feno ≥35 ppb at 14-15 y
BDR >12% at 15 y
No. of asthmatic patients/totalOR (95% CI)n1/totalOR (95% CI)n2/totalOR (95% CI)
Never/infrequent wheeze272/3,6611 (reference)290/1,1571 (reference)139/2,0031 (reference)
Preschool-onset remitting wheeze173/8702.74 (2.23-3.36)61/2431.06 (0.79-1.44)33/4721.10 (0.76-1.59)
Midchildhood-onset remitting wheeze231/33725.0 (19.4-32.2)42/1021.93 (1.28-2.90)21/2041.66 (1.04-2.63)
School-age–onset persisting wheeze187/22349.9 (35.3-70.7)57/826.39 (3.95-10.34)27/1273.28 (2.06-5.22)
Late childhood–onset persisting wheeze161/25019.8 (15.0-26.1)38/663.67 (2.30-5.85)19/1312.10 (1.26-3.48)
Continuous wheeze246/254363 (179-735)49/716.95 (4.13-11.72)19/1262.36 (1.40-3.98)

n, Number of children with Feno values of 20 ppb or greater; n, number of children with BDR of greater than 12%.

Number of children with data available (approximated from modal assignment).

Table E4

Crude association of wheezing phenotypes at 0 to 16½ years with lung function measures at 15 years (z scores) based on 12,303 children with at least 2 observations of wheezing

Wheezing phenotype at 0-16½ yFEV1 (SDU) at 15 y
FVC (SDU) at 15 y
FEV1/FVC ratio (SDU) at 15 y
FEF25-75 (SDU) at 15 y
No.Mean difference (95% CI)No.Mean difference (95% CI)No.Mean difference (95% CI)No.Mean difference (95% CI)
Never/infrequent wheeze1,9970 (reference)2,0940 (reference)1,9970 (reference)2,0940 (reference)
Preschool-onset remitting463−0.02 (−0.12 to 0.07)4770.05 (−0.04 to 0.14)463−0.15 (−0.24 to −0.05)477−0.13 (−0.22 to −0.03)
Midchildhood-onset remitting wheeze2030.09 (−0.05 to 0.23)2090.21 (0.07 to 0.35)203−0.23 (−0.37 to −0.08)209−0.14 (−0.28 to −0.00)
School-age–onset persisting wheeze1270.08 (−0.10 to 0.26)1310.18 (0.00 to 0.35)127−0.21 (−0.39 to −0.04)131−0.14 (−0.32 to 0.03)
Late childhood–onset persisting wheeze130−0.02 (−0.19 to 0.15)1350.02 (−0.14 to 0.19)130−0.08 (−0.25 to 0.08)135−0.21 (−0.37 to −0.04)
Continuous wheeze126−0.08 (−0.26 to 0.10)1310.04 (−0.14 to 0.22)126−0.26 (−0.44 to −0.08)131−0.30 (−0.48 to −0.12)

Number of children with data available (approximated from modal assignment).

Table E5

Adjusted associations of wheezing phenotypes at 0 to 16½ years with lung function measures at 8 years (z scores) in participants with at least 2 observations of wheeze

Wheezing phenotype at 0-16½ yearsFEV1 (SDU) at 8 y
FVC (SDU) at 8 y
FEV1/FVC ratio (SDU) at 8 y
FEF25-75 (SDU) at 8 y
No.Adjusted mean difference (95% CI)No.Adjusted mean difference (95% CI)No.Adjusted mean difference (95% CI)No.Adjusted mean difference (95% CI)
Never/infrequent wheeze3,3940 (reference)3,4520 (reference)3,2950 (reference)3,4520 (reference)
Preschool-onset remitting wheeze872−0.20 (−0.28 to −0.13)884−0.06 (−0.13 to 0.02)851−0.24 (−0.31 to −0.17)884−0.28 (−0.35 to −0.21)
Midchildhood-onset remitting wheeze336−0.23 (−0.34 to −0.12)341−0.01 (−0.11 to 0.10)329−0.37 (−0.48 to −0.26)341−0.41 (−0.51 to −0.30)
School-age–onset persisting wheeze219−0.30 (−0.43 to −0.16)222−0.01 (−0.14 to 0.12)215−0.44 (−0.58 to −0.31)222−0.48 (−0.62 to −0.35)
Late childhood–onset persisting wheeze212−0.23 (−0.36 to −0.11)215−0.08 (−0.21 to 0.05)207−0.21 (−0.34 to −0.08)215−0.30 (−0.43 to −0.18)
Continuous wheeze245−0.40 (−0.53 to −0.27)2490.10 (−0.03 to 0.23)236−0.78 (−0.91 to −0.65)249−0.75 (−0.88 to −0.62)

Number of participants with data available (approximated from modal assignment).

Adjusted for sex, parity, maternal history of asthma or allergy, maternal smoking and anxiety during pregnancy, preterm delivery, low birth weight, and day care attendance during first year.

Table E6

Adjusted associations of wheezing phenotypes at 0 to 16½ years with presalbutamol lung function measures at 15 years (z scores) in participants with at least 2 observations of wheeze

Wheezing phenotype at 0-16½ yFEV1 (SDU) at 15 y
FVC (SDU) at 15 y
FEV1/FVC ratio (SDU) at 15 y
FEF25-75 (SDU) at 15 y
No.Adjusted mean difference (95% CI)No.Adjusted mean difference (95% CI)No.Adjusted mean difference (95% CI)No.Adjusted mean difference (95% CI)
Never/infrequent wheeze2,0640 (reference)2,0920 (reference)2,0640 (reference)2,0910 (reference)
Preschool-onset remitting wheeze473−0.06 (−0.16 to 0.03)4770.05 (−0.05 to 0.14)473−0.21 (−0.31 to −0.12)476−0.16 (−0.25 to −0.06)
Midchildhood-onset remitting wheeze207−0.03 (−0.17 to 0.11)2090.16 (0.02 to 0.30)207−0.35 (−0.49 to −0.22)209−0.25 (−0.39 to −0.11)
School-age–onset persisting wheeze129−0.16 (−0.33 to 0.02)1310.08 (−0.10 to 0.25)129−0.45 (−0.62 to −0.28)131−0.40 (−0.57 to −0.22)
Late childhood–onset persisting wheeze135−0.20 (−0.36 to −0.03)135−0.04 (−0.21 to 0.13)135−0.29 (−0.45 to −0.13)135−0.33 (−0.50 to −0.17)
Continuous wheeze128−0.23 (−0.41 to −0.04)1300.04 (−0.14 to 0.22)128−0.54 (−0.72 to −0.37)130−0.53 (−0.71 to −0.35)

Number of participants with data available (approximated from modal assignment).

Adjusted for sex, parity, maternal history of asthma or allergy, maternal smoking and anxiety during pregnancy, preterm delivery, low birth weight, and day care attendance during first year.

Table E7

Adjusted associations of wheezing phenotypes at 0 to 16½ years with lung function measures at 15 years (presalbutamol z scores) further adjusted by lung function measures at 8 years (presalbutamol z scores) in participants with at least 2 observations of wheeze

Wheezing phenotype at 0-16½ yFEV1 (SDU) at 15 y
FVC (SDU) at 15 y
FEV1/FVC ratio (SDU) at 15 y
FEF25-75 (SDU) at 15 y
No.Adjusted mean difference (95% CI)No.Adjusted mean difference (95% CI)No.Adjusted mean difference (95% CI)No.Adjusted mean difference (95% CI)
Never/infrequent wheeze1,7840 (reference)1,8260 (reference)1,7430 (reference)1,8250 (reference)
Preschool-onset remitting wheeze4150.02 (−0.08 to 0.11)4220.08 (−0.01 to 0.17)407−0.16 (−0.25 to −0.07)421−0.03 (−0.12 to 0.06)
Midchildhood-onset remitting wheeze1830.08 (−0.05 to 0.22)1870.17 (0.04 to 0.31)179−0.22 (−0.36 to −0.09)187−0.02 (−0.15 to 0.11)
School-age–onset persisting wheeze110−0.05 (−0.22 to 0.13)1130.11 (−0.06 to 0.28)110−0.33 (−0.50 to −0.16)113−0.19 (−0.36 to −0.03)
Late childhood–onset persisting wheeze117−0.07 (−0.24 to 0.09)1180.02 (−0.14 to 0.18)117−0.21 (−0.37 to −0.05)118−0.17 (−0.32 to −0.01)
Continuous wheeze106−0.04 (−0.22 to 0.14)1100.06 (−0.12 to 0.23)103−0.25 (−0.42 to −0.07)110−0.14 (−0.31 to 0.03)

Number of participants with data available (approximated from modal assignment).

Adjusted for sex, parity, maternal history of asthma or allergy, maternal smoking and anxiety during pregnancy, preterm delivery, low birth weight, and day care attendance during first year and additionally for lung function at 8 years.

Discussion

Main findings

Based on analyses of wheezing measured on 14 occasions between the ages 6 and 198 months in 12,303 participants in the ALSPAC birth cohort study, we identified 6 phenotypes of childhood wheezing and quantified their associations with doctor-diagnosed asthma and objective measures of Feno, BDR, and lung function in late childhood. Almost 60% of participants were classified as having never or infrequently wheezed, with wheezing in these participants being sporadic and usually early. Two of the wheezing phenotypes identified were characterized by remission of symptoms in later childhood, and 3 were associated with persistent symptoms from onset in midchildhood to late childhood or continuous symptoms from infancy. Compared with the never/infrequent wheezing phenotype, those phenotypes with remitting symptoms (preschool-onset remitting wheeze and midchildhood-onset remitting wheeze), comprising 27% of the study population, were associated with lung function deficits in adolescence, with the later-onset group also having evidence of eosinophilic inflammation and BDR at age 15 years. All 3 phenotypes with symptoms persisting to adolescence were characterized by strong associations with diagnosed asthma, BDR, and high Feno measurements, with continuous wheeze being the most strongly associated with these outcomes. These associations are summarized in Table VI.
Table VI

Strength and direction of associations between extended wheezing phenotypes and clinical outcomes at 14 to 15 years

PhenotypeAsthmaFeno ≥35 ppbBDRFEV1FVCFEV1/FVC ratioFEF25-75
Preschool-onset remitting wheeze××××
Midchildhood-onset remitting wheeze√√×↑↑↓↓
School-age–onset persisting wheeze√√√√√√××↓↓×
Late childhood–onset persisting wheeze√√√√×××↓↓
Continuous wheeze√√√√√√√××↓↓↓↓

The strength of association of each wheezing phenotype with each outcome is represented by the number of symbols (√, ↓, and ↑), with × representing absence of association with that outcome.

Results in the context of the existing literature

Our approach to classifying childhood wheezing up to age 7 years by its temporal patterns using latent class analysis has been replicated and validated4, 5 by independent studies and has utility in identifying clinically relevant phenotypes with high sensitivity and specificity. However, there is uncertainty about whether phenotypes classified this way represent distinct pathophysiologic processes leading to different long-term outcomes or whether outcome variation is related to the duration and severity of a single disease process. Several cohort studies of asthma beginning in childhood have followed lung function development through to adult life. In the Melbourne Asthma Study there was a relationship between the severity of wheezing illness in early childhood and the probability of persistent asthma in adulthood and obstructive airway function to age 50 years. In keeping with longitudinal lung function measurements from midchildhood (age 9 years) in the Dunedin cohort and from infancy in the Tucson Children's Respiratory Study, it appeared that lung function deficits were already established by school age and adult obstructive airway function was explained by tracking of these deficits into adult life rather than by a more rapid decrease of adult lung function. Studies with lung function measurements from early infancy have reported associations of lung function deficits shortly after birth with the development of asthma in childhood,24, 25 but there is inconsistency regarding the trajectories of lung function development from birth to school age between these and the Tucson study, which suggested that children who had wheezing and asthma had near-normal lung function at birth but airway obstruction by 6 years, which then tracked to adulthood. In the Danish COPSAC study low lung function was present soon after birth, with further deviation from lung function development in healthy infants occurring during the first 7 years. The authors estimated that 40% of the lung function deficit at 7 years in children with asthma was explained by low lung function at birth and the remaining 60% by early-life developmental processes. They also reported that lung function–associated genetic polymorphisms in adults were associated with lung function development form birth to 7 years but not with neonatal lung function, suggesting that the mechanisms influencing these 2 aspects are different. Our data are consistent with the notion that early onset of wheezing symptoms is associated with establishment of low lung function by school age, which persists to adolescence, whereas late-onset wheezing (after 7 years) was not associated with postbronchodilator airway obstruction by age 15 years. All phenotypes with evidence of wheezing during the first 7 years were associated with airway obstruction (low FEV1/FVC ratio) in adolescence in contrast to the late childhood–onset persisting phenotype. Although the greatest deficit was present in the group with early wheeze onset (6 months after birth) that persisted until adolescence, this supports onset of wheezing illness in early childhood having a greater influence than its duration after onset and hence a window of development when intervention might be possible. Our findings are compatible with a multifactorial etiology of low lung function in adolescence associated with wheezing phenotypes and asthma in childhood. It is likely that airway developmental abnormalities around the time of birth contribute both to the likelihood of asthma and its consequences. In the Tucson study those with the lowest airway function soon after birth had transient wheezing, and their lung function appeared to regress to the mean during the first 6 years, although the lowest quartile of lung function at birth was associated with low lung function at age 22 years in the same cohort. Transient wheeze in the Melbourne study and remitting wheeze in the Dunedin study were both associated with smaller deficits of lung function in adulthood than those with persistent asthma phenotypes. What causes lung function to decrease during the preschool years in children with wheezing illnesses is a matter of speculation. Airway inflammation has been reported to be associated with signs of remodeling, even in early childhood, and it is conceivable that untreated airway inflammation in early life could result in progressive irreversible obstruction, although the processes in infancy probably differ from those associated with asthma in older children. It is notable that intervention with inhaled corticosteroids to treat mild-to-moderate asthma in the Childhood Asthma Management Program study after age 5 years and children at high risk for asthma aged 2 to 3 years in the Prevention of Early Asthma in Kids (PEAK) study did not provide evidence that anti-inflammatory treatment was effective in improving lung function in later childhood in either of these populations. Some of the lung function deficits that we observed could be accounted for by current asthma at the time of measurement, with evidence of associated asthma, BDR, and eosinophilic airway inflammation present in all wheeze phenotypes, except preschool-onset remitting wheeze. However, there was still evidence of airway obstruction after bronchodilation in some of these subjects, particularly those with persisting wheeze, suggesting that at least a component of airway obstruction in these participants was irreversible. We cannot infer from these data the nature of the complex relationship between airway development, asthma, airway inflammatory responses, and remodeling in the causal pathway of low adult lung function. It appears that wheeze that starts early in life (in the preschool years) and persists to adolescence is most strongly associated with airway obstruction in adolescence, and a focus on identifying factors in this population that lead to persistence of symptoms might help to identify targets for intervention other than with corticosteroids. We found a higher prevalence of atopy in the wheezing phenotypes that were more strongly associated with persistence of wheezing after onset (including continuous wheeze from infancy) than with remitting phenotypes. An association of atopy with persistent asthma symptoms has been reported previously32, 33 and might be explained by the association of eosinophilic airway inflammation with asthma severity and persistence in childhood.34, 35 Eosinophilic airway inflammation has been identified in preschool children with confirmed wheezing, and high Feno levels are associated with persistent compared with transient wheeze in this age group. Attention has recently focused on better characterization of the temporal pattern of allergic sensitization in children, and it is possible that different pathways of sensitization are associated with different pathophysiology of wheezing illnesses in early childhood. Belgrave and others have reported associations of a multiple early allergy phenotype with increased airways resistance through childhood to age 11 years. Joint latent class models of atopy and wheezing have also shown differences in associations of early-life exposures between wheezing phenotypes associated with high and low levels of atopy. We were limited in our ability to replicate these findings in our cohort because we had only 1 measurement of sensitization at age 7 years. We found strong evidence of between-sex differences for the school age–onset and late childhood–onset persisting phenotypes. For the school age–onset persisting phenotype, with wheeze starting after 3½ years, the probability of wheezing between 9 and 16 years decreased substantially more in male subjects (0.72 to 0.22) than in female subjects (0.74 to 0.52). Thus this phenotype, with wheeze starting after 3½ years, might be considered to have a high probability of remission in male subjects during adolescence. Consistent with other studies, we observed an early male predominance of wheezing, but this had equalized by age 16 years. A sex switch toward female predominance of asthma in early adulthood has been reported in other studies,1, 40 and it has been suggested that hormonal influences might play a role in incident female asthma during and after puberty.41, 42 Most of the female participants in our study had reported menarche by the age of 16 years, but we did not see strong evidence for a large increase in asthma prevalence in female subjects by this age, perhaps suggesting that if hormonal effects are causal in promoting asthma in female subjects, they are unlikely to be expressed in the short term but might exert their influences through indirect mechanisms with a longer time lag.

Strengths and limitations

An advantage of our study is the availability of data from a large, unselected, population-based cohort followed to late adolescence. For comparison, the Tucson Study reported on 826 children during the first 6 years, and the Dunedin study reported on 613 subjects with complete respiratory data at 9 to 26 years. The Perth study of infant lung function reported outcomes at 11 years in 183 infants, and a cohort of 2860 infants in Perth reported on asthma to age 6 years. Wheeze reported on up to 14 occasions (from 6 months to nearly 16 years) was used in a data-driven (latent-class) approach to derive childhood wheezing phenotypes, so that preconceptions about phenotype structure did not affect the derived phenotype groups. We were able to look at associations between the derived childhood wheezing phenotypes and different measures of lung function at 15 years, despite the fact that some phenotypes represented relatively small proportions of children. There are some limitations to our study design and findings. The reports of wheezing used in the latent class analyses to derive wheezing phenotypes were not always contemporaneous with measurements of clinical outcomes: in particular, the latest measurements of doctor-diagnosed asthma and lung function were at ages 14 and 15 years, respectively. We think it is likely that associations of these outcomes with wheezing phenotypes will be similar to those had the outcomes been measured at the time of the last wheezing measurement at age 16½ years because wheezing phenotypes were derived from all available data from 6 months onward and therefore unlikely to be markedly influenced by wheezing at a single time point. A major limitation of latent class models is their application to the clinical setting because children with wheezing cannot be assigned prospectively to a particular phenotype, which has been defined by post hoc data analysis. However, by demonstrating the existence of different trajectories of wheezing illnesses through childhood and their associated outcomes, we aim to identify those phenotypes associated with adverse long-term outcomes that might be amenable to intervention in early life. The challenge is then to find associated biomarkers of these disease types that can be applied to distinguish early wheeze that persists from that which remits, investigate the pathophysiologic pathways that exist at an early stage in these evolving phenotypes, and use this information to derive interventions that might be phenotype specific. Finally, we have been unable to verify the findings of our study in an independent cohort, and replication will be an essential first step to realizing the utility of hypothesis generation based on our phenotypes.

Conclusion

This study adds to our previous description of wheezing phenotypes in children by extending knowledge of variation in the natural history of wheeze from infancy through the critical adolescent transition period to adulthood, during which the sex distribution of asthma changes and lung development nears its peak. We confirmed the importance of early childhood wheezing illness in lung function development and identified the temporal wheezing patterns most strongly associated with airway obstruction as wheeze starting before the age of 4 years and persisting throughout childhood. The challenge is to translate this knowledge by identifying clinically useful biomarkers associated with disease phenotypes that can be measured in early childhood and hence to enable the study of disease pathways associated with unfavorable prognosis and development of targeted interventions to modify the natural history of wheezing illnesses in young children, a population in whom treatment with corticosteroids appears to be ineffective in disease modification.
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1.  Prenatal and postnatal genetic influence on lung function development.

Authors:  Eskil Kreiner-Møller; Hans Bisgaard; Klaus Bønnelykke
Journal:  J Allergy Clin Immunol       Date:  2014-05-21       Impact factor: 10.793

2.  Infants with flow limitation at 4 weeks: outcome at 6 and 11 years.

Authors:  Stephen W Turner; Lyle J Palmer; Peter J Rye; Neil A Gibson; Parveenjeet K Judge; Sally Young; Louis I Landau; Peter N Le Souëf
Journal:  Am J Respir Crit Care Med       Date:  2002-05-01       Impact factor: 21.405

3.  Interaction between asthma and lung function growth in early life.

Authors:  Hans Bisgaard; Signe M Jensen; Klaus Bønnelykke
Journal:  Am J Respir Crit Care Med       Date:  2012-03-29       Impact factor: 21.405

4.  Poor airway function in early infancy and lung function by age 22 years: a non-selective longitudinal cohort study.

Authors:  Debra A Stern; Wayne J Morgan; Anne L Wright; Stefano Guerra; Fernando D Martinez
Journal:  Lancet       Date:  2007-09-01       Impact factor: 79.321

Review 5.  Estrogen effects in allergy and asthma.

Authors:  Rana S Bonds; Terumi Midoro-Horiuti
Journal:  Curr Opin Allergy Clin Immunol       Date:  2013-02

6.  Asthma and wheezing in the first six years of life. The Group Health Medical Associates.

Authors:  F D Martinez; A L Wright; L M Taussig; C J Holberg; M Halonen; W J Morgan
Journal:  N Engl J Med       Date:  1995-01-19       Impact factor: 91.245

7.  Early detection of airway wall remodeling and eosinophilic inflammation in preschool wheezers.

Authors:  Sejal Saglani; Donald N Payne; Jie Zhu; Zhuo Wang; Andrew G Nicholson; Andrew Bush; Peter K Jeffery
Journal:  Am J Respir Crit Care Med       Date:  2007-08-16       Impact factor: 21.405

8.  Trajectories of lung function during childhood.

Authors:  Danielle C M Belgrave; Iain Buchan; Christopher Bishop; Lesley Lowe; Angela Simpson; Adnan Custovic
Journal:  Am J Respir Crit Care Med       Date:  2014-05-01       Impact factor: 21.405

9.  Cohort Profile: the 'children of the 90s'--the index offspring of the Avon Longitudinal Study of Parents and Children.

Authors:  Andy Boyd; Jean Golding; John Macleod; Debbie A Lawlor; Abigail Fraser; John Henderson; Lynn Molloy; Andy Ness; Susan Ring; George Davey Smith
Journal:  Int J Epidemiol       Date:  2012-04-16       Impact factor: 7.196

10.  Associations of different phenotypes of wheezing illness in early childhood with environmental variables implicated in the aetiology of asthma.

Authors:  Raquel Granell; Jonathan A C Sterne; John Henderson
Journal:  PLoS One       Date:  2012-10-31       Impact factor: 3.240

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  28 in total

1.  Bronchodilator Dose Responsiveness in Children and Adolescents: Clinical Features and Association with Future Asthma Exacerbations.

Authors:  Jocelyn R Grunwell; Khristopher M Nguyen; Alice C Bruce; Anne M Fitzpatrick
Journal:  J Allergy Clin Immunol Pract       Date:  2019-10-12

2.  Differential associations of allergic disease genetic variants with developmental profiles of eczema, wheeze and rhinitis.

Authors:  Hannah Clark; Raquel Granell; John A Curtin; Danielle Belgrave; Angela Simpson; Clare Murray; A John Henderson; Adnan Custovic; Lavinia Paternoster
Journal:  Clin Exp Allergy       Date:  2019-10-15       Impact factor: 5.018

Review 3.  Are We Meeting the Promise of Endotypes and Precision Medicine in Asthma?

Authors:  Anuradha Ray; Matthew Camiolo; Anne Fitzpatrick; Marc Gauthier; Sally E Wenzel
Journal:  Physiol Rev       Date:  2020-01-09       Impact factor: 37.312

4.  Derivation and Validation of the Periodontal and Tooth Profile Classification System for Patient Stratification.

Authors:  Thiago Morelli; Kevin L Moss; James Beck; John S Preisser; Di Wu; Kimon Divaris; Steven Offenbacher
Journal:  J Periodontol       Date:  2016-09-13       Impact factor: 6.993

5.  Genetics of Asthma and Allergic Diseases.

Authors:  Sadia Haider; Angela Simpson; Adnan Custovic
Journal:  Handb Exp Pharmacol       Date:  2022

6.  Endotype of allergic asthma with airway obstruction in urban children.

Authors:  Matthew C Altman; Agustin Calatroni; Sima Ramratnam; Daniel J Jackson; Scott Presnell; Mario G Rosasco; Peter J Gergen; Leonard B Bacharier; George T O'Connor; Megan T Sandel; Meyer Kattan; Robert A Wood; Cynthia M Visness; James E Gern
Journal:  J Allergy Clin Immunol       Date:  2021-03-10       Impact factor: 10.793

7.  Inception of early-life allergen-induced airway hyperresponsiveness is reliant on IL-13+CD4+ T cells.

Authors:  Sejal Saglani; Lisa G Gregory; Avneet K Manghera; William J Branchett; Faith Uwadiae; Lewis J Entwistle; R A Oliver; Jessica E Vasiliou; Rebekah Sherburn; Stephen Lui; F Puttur; David Vöhringer; Simone A Walker; James Buckley; Ruth Grychtol; Valentina Fainardi; Laura Denney; Adam Byrne; Erika von Mutius; Andrew Bush; Clare M Lloyd
Journal:  Sci Immunol       Date:  2018-09-07

8.  Maternal intake of sugar during pregnancy and childhood respiratory and atopic outcomes.

Authors:  Annabelle Bédard; Kate Northstone; A John Henderson; Seif O Shaheen
Journal:  Eur Respir J       Date:  2017-07-05       Impact factor: 16.671

9.  Associations of Prenatal Dietary Inflammatory Potential with Childhood Respiratory Outcomes in Project Viva.

Authors:  Corrine Hanson; Sheryl L Rifas-Shiman; Nitin Shivappa; Michael D Wirth; James R Hebert; Diane Gold; Carlos A Camargo; Sarbattama Sen; Joanne E Sordillo; Emily Oken; Augusto A Litonjua
Journal:  J Allergy Clin Immunol Pract       Date:  2019-10-31

10.  Longitudinal Phenotypes of Respiratory Health in a High-Risk Urban Birth Cohort.

Authors:  Leonard B Bacharier; Avraham Beigelman; Agustin Calatroni; Daniel J Jackson; Peter J Gergen; George T O'Connor; Meyer Kattan; Robert A Wood; Megan T Sandel; Susan V Lynch; Kei E Fujimura; Douglas W Fadrosh; Clark A Santee; Homer Boushey; Cynthia M Visness; James E Gern
Journal:  Am J Respir Crit Care Med       Date:  2019-01-01       Impact factor: 30.528

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