Skip to main content
European Respiratory Review logoLink to European Respiratory Review
editorial
. 2015 Jun;24(136):178–186. doi: 10.1183/16000617.00003714

Monitoring asthma in childhood

Karin C Lødrup Carlsen 1,2, Mariëlle W Pijnenburg 3, on behalf of the ERS Task Force Monitoring Asthma in Children
PMCID: PMC9487823  PMID: 26028630

Abstract

The goal of asthma treatment is to obtain clinical control and reduce future risks to the patient. However, to date there is limited evidence on how to monitor patients with asthma. Childhood asthma introduces specific challenges in terms of deciding what, when, how often, by whom and in whom different assessments of asthma should be performed. The age of the child, the fluctuating course of asthma severity, variability in clinical presentation, exacerbations, comorbidities, socioeconomic and psychosocial factors, and environmental exposures may all influence disease activity and, hence, monitoring strategies. These factors will be addressed in herein.

We identified large knowledge gaps in the effects of different monitoring strategies in children with asthma. Studies into monitoring strategies are urgently needed, preferably in collaborative paediatric studies across countries and healthcare systems.

Short abstract

Monitoring asthma in children is essential for disease control and should reflect age, triggers and disease activity http://ow.ly/J0k7f

Introduction

Asthma is a life-long disease that varies over time, frequently presents in early childhood and is the leading chronic disease in children in the western world, affecting 5–20% of school-aged children in Europe [1]. In contrast to other common diseases that more often present later in life, such as cancer, cardiovascular disease and diabetes, for the majority of cases asthma represents a life-long disease [2]. Childhood asthma presents a substantial burden to the patient, their family and society. High frequencies of sleep disturbances due to asthma (up to 34%), absence from school (23–51%) and limitation of activities (47%) have been reported [35]. In many countries obstructive airways disease and asthma are the leading causes of paediatric hospital admissions, and in the USA asthma is the leading cause of school absenteeism due to chronic disease among children (www.aafa.org). Although severe asthma affects only a minority (4–5%) of children with asthma, the prevalence of severe asthma symptoms is highly variable, from 0.1% in Pune, India, to 20% in Costa Rica [57].

Asthma is associated with reduced growth of lung function, and impaired lung function at a young age is a determinant of lung function in adult life, with an increased risk of chronic obstructive pulmonary disease [811].

Evidence of the socioeconomic burden of childhood asthma is largely lacking for most countries, including direct costs such as medication and healthcare utilisation, as well as indirect costs including absenteeism from work and school, and loss of productivity due to asthma [12]. In the USA the annual total cost of asthma in children and adults is estimated to be nearly $18 billion (www.cdc.gov/VitalSigns/asthma/). However, it has been estimated that improved national focus on diagnosis, disease control and education within healthcare may reduce the costs of asthma, as has been suggested in Finland [13]. Thus, improving asthma control is beneficial not only for the child and their family, but appears to be highly relevant in reducing the societal burden of childhood asthma [12, 13].

Monitoring disease activity is an important part of follow-up of any chronic disease. Current monitoring of childhood asthma focuses on the level of asthma control or reduction of future risk to the patient but should ideally encompass both aspects. Still, clear recommendations on the best strategy to monitor asthma in children are missing. Therefore, in 2011 a European Respiratory Society (ERS) Task Force was initiated to identify what is documented, frequently performed or recommended for monitoring asthma in children [14].

Asthma pathology

In order to understand the background for various potential measures used in monitoring childhood asthma, herein we briefly summarise the important features of asthma.

Asthma is a chronic inflammatory airways disease characterised by reversible airways obstruction and bronchial hyperresponsiveness (BHR). Classical symptoms of asthma are wheeze, cough (particularly at night or during exertion), dyspnoea and chest tightness. However, there is no current consensus on the underlying pathophysiology of asthma throughout childhood.

This said, the underlying chronic inflammation is often characterised by eosinophilic activity and allergic inflammation, but non-allergic asthma is not uncommon in childhood [15]. Although the underlying mechanisms of asthma are poorly understood, there is accumulating evidence that the interaction between respiratory viral infections and allergic sensitisation is crucial in the cause and pathogenesis of atopic asthma, whereas the link to common allergic type comorbidities is still not clear [16, 17]. With the varying clinical presentation of asthma through childhood there is increasing focus on trying to identify new types of asthma phenotypes or endotypes for future individual targeted management [1820]. Several phenotypes of asthma have been described and identified, which are commonly based on the time of presentation of “wheeze” within the first part of childhood [21]. In addition, phenotypes based on the presence or absence of allergic sensitisation, eosinophilic or noneosinophilic inflammation, response to treatment, asthma severity or allergic disease comorbidities are recognised [2226]. However, at present we are still struggling with untangling the optimal management and follow-up strategies, including monitoring, particularly among the youngest children with asthma-like disease (often referred to as “wheezy” disorders in the first few years of life) and among children with difficult to treat asthma.

No universally accepted definition of asthma exists that includes children from infancy to post puberty. Particularly in childhood, reversible bronchial obstruction may be a final common feature of a number of different diseases with distinct aetiologies and different environmental and genetic features. With this background, various definitions are used, and common to them all are reversible airways obstruction and chronic airways inflammation. Thus, a descriptive and pragmatic approach is necessary in the clinic, since the diagnosis will elicit targeted treatment.

Briefly, the underlying pathophysiology of asthma involves bronchial obstruction, impaired lung function, BHR, remodelling of the airways and airways inflammation, with their respective features partly reflecting chronic state and exacerbations.

Bronchial obstruction is a result of bronchial muscle constriction, acting through the β-receptors, as well as mucosal oedema and increased airways secretions resulting from airways inflammation, all of which contribute to reduce airway flow. The obstruction to airway flow is reflected in reduced lung function and classical symptoms such as wheezing, dyspnoea and coughing. Reversibility of the bronchial obstruction may occur spontaneously or through the use of bronchodilators (particularly β2-agonists), whereas anti-inflammatory medications, such as inhaled corticosteroids are used to reduce the underlying pathophysiological causes of bronchoconstriction.

The role of impaired lung function in the development of asthma in contrast to lung function decline with chronic asthma is not entirely clear. Asthma is clearly associated with reduced lung function, as well as a more rapid decline in lung function compared to healthy individuals, although impairments in lung function appear more modest among children than adults [811]. But even in children and adolescents with mild-to-moderate asthma with adequate anti-inflammatory treatment, lung function following maximal bronchodilation is still somewhat reduced compared to healthy children, suggesting that airway remodelling affects lung function even in well-controlled paediatric asthma [27]. In a few birth cohorts, reduced lung function has been found to precede asthma in some, but not all children with asthma [2830].

Airway remodelling is a common feature in adult asthma, but its role in childhood asthma is less clear, particularly as to when it starts and what elicits the process [31]. Nevertheless, lung function reductions in older children are likely to reflect structural changes in the airways, such as sub-epithelial reticular basement layer thickening, epithelial cell disruption, and imbalance of proteases and antiprotease, as well as neoangiogenesis (remodelling) [31].

BHR is a common, but not obligate, feature of childhood asthma, representing a general liability to develop symptoms by exposure to various physiological or environmental stimuli, with exercise being a classical trigger of childhood asthma symptoms. The underlying mechanisms for BHR development are not clear, but may involve barrier dysfunction as well as possibly neural parasympathetic mechanisms involving heat and fluid exchange over the epithelium [32]. Although BHR is a modest predictor for later asthma it tends to decrease throughout childhood [29, 3335].

The underlying airways inflammation in asthma is generally considered to be an eosinophilic inflammation although the strength of the association between allergic sensitisation and asthma varies, with the majority of atopic subjects (i.e. those producing IgE antibodies to common inhalants and food allergens) not having asthma [36]. In some patients, allergen exposure may lead to a break in natural tolerance, triggering allergic inflammation and an allergen-specific immune response involving T- and B-lymphocytes. This allergic inflammation involves the production of specific IgE antibodies against allergens (allergic sensitisation) by local and systemic immune cells and biomarkers of the innate and adaptive immune system.

Asthma exacerbations are commonly triggered by viral infections in childhood, whereas at a later age many children with “viral wheeze” may not have asthma. Triggers of asthma development are likely to differ from triggers of exacerbations. Recent studies suggest that respiratory viruses, possibly (sub-types of) human rhinovirus in particular, may play a role in triggering the immune system, particularly in children who are already sensitised to allergens [37]. The mechanisms are currently not known but allergic sensitisation appears to be an important underlying feature of triggering disease development; although several hypotheses exist, including an immune circle in asthma development in which repeated airborne irritant stimuli (such as allergens or viruses) evoke cycles of inflammation giving intermittent inflammation resulting in episodic symptoms at first, later turning into more persistent inflammation and disease expression [16].

Chronic underlying inflammation with a variable course of asthma throughout childhood requires a decision to be made on the purpose of monitoring, i.e. symptom control, lung function, inflammation or treatment adherence, as well as considering age, severity, comorbidity, technical ability, impact of standardised test conditions and effort/cost/utility.

Guidelines: change from disease severity to asthma control and lack of monitoring knowledge

Over the years, the treatment target has changed from reducing disease severity in the undocumented hope of improving long-term prognosis to achieving asthma control and thereby reducing the burden of asthma [3840]. Thus, the ultimate goal of current asthma treatment is to achieve and maintain clinical control and reduce future risks to the patient [4145]. The future risk to the patient includes loss of asthma control, exacerbations, accelerated decline in lung function and side-effects of treatment.

Asthma control

All current asthma guidelines emphasise the importance of asthma control [4244]. The 2007 National Asthma Education and Prevention Programme (NAEPP) guidelines define asthma control as the degree to which the manifestations of asthma are minimised by therapeutic intervention and the goals of therapy are met [44].

The Global Initiative for Asthma (GINA) proposes to distinguish between controlled, partly controlled and poorly controlled asthma [43]. Asthma is well controlled if: daytime symptoms occur ≤2 times per week; there are no limitations of activities due to asthma; there are no night-time symptoms; rescue medication is needed ≤2 times per week; and lung function is normal. Nonetheless, this working scheme (as proposed by GINA) is based on current opinion, is not validated and primarily refers to adults.

Asthma treatment should be adjusted in a continuous cycle driven by the patient's control status.

Aims of the ERS Task Force

Monitoring disease activity is an important part of follow-up of any chronic disease. Monitoring asthma is a tool or set of tools used by healthcare professionals in collaboration with the patient to obtain control of their asthma. To date, there is no clearly identified ideal way to monitor childhood asthma. However, a recent review paper outlines the current knowledge of the usefulness of various measures of asthma control, from peak flow measurements to composite measures for use in clinical trials [45]. Furthermore, spirometry, exhaled nitric oxide, BHR and genotype (β-receptor gene) had limited predictive value to identify differential response to step-up treatment in children with asthma, whereas the asthma control test appeared to have some benefit over the other measures in predicting treatment response [46]. However, no one measurement could predict treatment response to various medications [46]. Nevertheless, monitoring is essential to obtain and maintain control and establish the lowest step and dose of treatment in order to minimise cost and maximise safety [43].

Childhood asthma introduces specific challenges in terms of deciding what, when, how often, how, by whom and in whom different assessments of asthma should be performed. The fluctuating course of asthma severity, variability in clinical presentation, disease exacerbations, comorbidities, age of the subject, socioeconomic and psychosocial factors, and environmental exposures may all influence disease activity and monitoring strategies. Thus, any monitoring scheme should be adjusted to several of these factors. The availability, costs and reimbursement of different monitoring tools differ substantially throughout and between countries and influence what tools can and may be used in individual patients.

Therefore, the aims of the present task force are to: 1) define outcomes of asthma control that are useful in the context of monitoring; 2) define which tools are available for monitoring children of various ages with asthma; 3) define which tools are useful in the monitoring of asthma; and 4) review the evidence of different strategies for monitoring children with asthma.

Limitations of the ERS Task Force

This task force does not address the diagnosis or treatment of asthma in children. Monitoring of acute asthma attacks is not within the scope of this task force, and the task force have exclusively considered paediatric studies.

In this issue of the European Respiratory Review three reviews describe the available methods for monitoring disease, the factors that usually influence the decision to use these methods (e.g. age and risk factors), and describe the knowledge gaps in terms of documenting the effect of the measurements [4749].

During the task force work it became evident that for most aspects of monitoring asthma in childhood there was a substantial lack of documentation with respect to levels of evidence, paediatric studies, cost-effectiveness or lack of data in general. Areas with limited documentation will be addressed here. As cost-effectiveness data on the use of several monitoring strategies are scarce and may differ substantially between countries, cost-effectiveness will not be discussed.

All strategies described in the reviews in this issue are based on a modified Delphi process, as well as on what the task force members do in clinical practice and, where possible, are supported by evidence [4749].

Most task force members include all measurements that will be used for monitoring in a baseline assessment according to disease level, age or other factors, for use in follow-up assessments.

In the present issue of European Respiratory Review the first review focuses on symptoms, exacerbations and quality of life [47], the second review focuses on management-related issues, including comorbidities and environmental factors [48], and the third focuses on lung function, bronchial hyperresponsiveness and inflammation [49].

Common factors to consider when choosing monitoring tools

Frequency

As asthma is a highly variable disease, all guidelines recommend adjusting treatment periodically. However, the frequency of monitoring is considered a matter of clinical judgement [44]. GINA guidelines are the most specific and state that asthma control should be monitored by the healthcare professional and preferably also by the patient at regular intervals [43]. The frequency of healthcare visits depends on the initial clinical severity and the patient's training and confidence in playing a role in monitoring their asthma. Most task force members schedule a clinic visit 1–3 months after the initial visit and every 3–6 months thereafter in order to assess asthma control, adherence to treatment and evaluate whether treatment changes are needed, based upon available literature combined with clinical experience [50]. Visits every 3 months may allow seasonal influences to be accounted for. In controlled patients on stable doses of maintenance treatment, visits every 6 months may be sufficient, in particular in patients with adequate self-management skills. Factors that may suggest more frequent visits or more intense monitoring schemes are outlined in table 1.

TABLE 1.

Factors that should prompt consideration of more intense monitoring schemes

Emergency visits, admission or oral steroids for <1 year
Low FEV1
ACT score <19
Low socioeconomic state or low income
Comorbidities: rhinitis, sinusitis and reflux
Severe asthma
Smoking or environmental smoke exposure
Reduced symptom perception
Reduced adherence

FEV1: forced expiratory volume in 1 s; ACT: asthma control test.

In general, self-management is based on symptom monitoring and there is no evidence that home monitoring of peak flow, spirometry or exhaled nitric oxide fraction improves asthma outcomes [5153].

Age and predicting prognosis

Ideally we should be able to identify children at risk of uncontrolled or severe asthma as soon as possible after the presentation of the disease. This way, monitoring schedules could be targeted to different ages depending on individual risk. However, at present this is not an option. Asthma in childhood is difficult to predict from early asthma-like symptoms and the younger the child the more difficult it is to ascertain a diagnosis of asthma [19, 54, 55]. Recurrent wheeze in children <3 years of age is commonly associated with viral respiratory infection, whereas the prognosis of these children may be less favourable than previously reported as only one-third of children with recurrent bronchial obstruction in a birth cohort study were symptom free or medication free for asthma or BHR at 16 years of age [5661]. However, several scores have been tested for their ability to predict persistence of asthma, such as the asthma predictive index and the Oslo severity score, with varying clinical value in individual patients [62, 63].

The second step is to identify scores that may adequately predict the risk of exacerbations, which may identify children with a short-term need of increased care. Thus, we lack a significantly specific and sensitive tool to predict which young children are likely to go on to have persistent or relapsing asthma through childhood, which are those who should be most closely monitored.

Obviously, age is one of the limiting factors for tools that may be used in monitoring asthma. In particular, in infants and pre-school children objective measurements of asthma control (e.g. lung function and inflammatory markers) are scarce and, in general, are not feasible in routine clinical care in most countries. Alternatively, in adolescents, electronic monitoring tools using the Internet or apps might be of benefit. Table 2 summarises the available tools for monitoring childhood asthma based on age.

TABLE 2.

Available tools for monitoring childhood asthma based on age

  0–2 years 2–4 years 4–6 years >6 years
Symptoms
C-ACT/ACT
ACQ
Exacerbations
Flow volume curves/BDR (✓)
PEF (✓)
Rint-IOS-FOT
LCI
ILF
AHR (✓)
FeNO
Induced sputum
EBC (✓)

Tick marks indicate relevant/available tools, while tick marks in parenthesis indicates partly relevant/available tools. C-ACT: childhood asthma control test; ACT: asthma control test; BDR: bronchodilator response; PEF: peak expiratory flow; Rint-IOS-FOT: interrupter resistance-impulse oscillometry-forced oscillation technique; LCI: lung clearance index; ILF: infant lung function; AHR: airway hyperresponsiveness; FeNO: exhaled nitric oxide fraction; EBC: exhaled breath condensate.

Risk factors of exacerbations or lack of asthma control

It is important to ascertain what the risk factors in fact predict; is it development of diseases, lung function decline, exacerbations, hospital admissions or death? Herein we address risk factors that warrant a more frequent or more extensive monitoring scheme (table 1).

In children younger than school age allergic sensitisation increases the likelihood of recurrent bronchial obstruction reflecting asthma, particularly in boys [6467]. However, it appears that around 30–40% of pubertal children are sensitised to at least one allergen, and many of these children will not have asthma [58].

Since allergy is associated with worsening of asthma, it is important to establish whether new allergies are developing or there are any relevant changes in allergic diseases. Thus, questions on allergies to inhalants or food allergens are usually routinely performed at the annual visits, but sometimes more often in the case of a changing clinical presentation, followed by relevant investigations (skin prick test and/or specific IgE), regardless of age. Whether children with allergies should be monitored more frequently than children without allergies is still a matter of debate. However, children with multiple allergies are at risk of poorer asthma control, suggesting that they might probably benefit from closer monitoring [6872].

Exposures

Allergen exposure in atopic children increases the risk of exacerbations, as does second-hand tobacco smoke exposure, outdoor air pollution and viral infections, which might suggest why more intense monitoring programmes are required when exposures are unavoidable [7376]. Thus, most task force members ask about allergen exposure, tobacco smoke, water-damaged housing, air pollution and other relevant exposures at the annual visits or in cases of unexplained loss of asthma control. In every allergic asthmatic child exposed to relevant allergens, particularly in patients with uncontrolled symptoms, most task force members consider home visits by specialised asthma nurses and allergen reduction measures [77].

Levels of care and implementing monitoring schemes

To date there has been little discussion on what monitoring tool(s) should be used in primary versus secondary care, and documentation of optimal schedules for individual patient flow through the various levels of healthcare is largely unavailable. Such discussions are on-going in many countries, where there is an increasing demand to reduce the costs at a societal level and reduce individual burden of disease.

However, in Finland and some other countries a strategic approach to diagnosis and management, as well as education of healthcare personnel at all levels, appears to be effective in reducing the burden of asthma in children [78].

The present task force found an overwhelming lack of documentation on: the effect of monitoring at different levels of healthcare; what type of testing should be optimally and minimally performed at different levels of healthcare; and how often monitoring should be performed. In view of the differences in health politics and national healthcare systems, and the lack of documentation, it was found that any recommendations were outside the scope of the present task force.

Conclusion

The task force found that the large knowledge gaps in the effects of different monitoring strategies in terms of what tools to use, how often, in whom and at what healthcare level precluded any firm recommendations on monitoring childhood asthma. However, despite the lack of documentation on the efficacy of monitoring schemes, the task force members have outlined their interpretation of the available documentation and leave the decision on how to monitor childhood asthma to the reader. The task force has clearly shown that studies into these matters are urgently needed, preferably collaborative paediatric studies across countries and healthcare systems.

Supplementary Material

ERR-0037-2014_Lodrup_Carlsen.pdf
ERR-0037-2014_Pijnenburg.pdf

Acknowledgements

The Task Force members and their affiliations are as follows. Karin C. Lødrup Carlsen: Dept of Paediatrics, Oslo University Hospital, and Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Mariëlle W. Pijnenburg: Dept of Paediatric/Paediatric Respiratory Medicine, Erasmus MC  —  Sophia Children’s Hospital, Rotterdam, The Netherlands; Eugenio Baraldi: Women’s and Children’s Health Dept, Unit of Respiratory Medicine and Allergy, University of Padova, Padova, Italy; Paul L.P. Brand: Dept of Paediatrics/Princess Amalia Children’s Centre, Isala Hospital, Zwolle, and UMCG Postgraduate School of Medicine, University Medical Centre and University of Groningen, Groningen, The Netherlands; Kai-Hakon Carlsen: Dept of Paediatrics, Oslo University Hospital, and Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, and Norwegian School of Sports Sciences, Oslo, Norway; Ernst Eber: Respiratory and Allergic Disease Division, Dept of Paediatrics and Adolescence Medicine, Medical University of Graz, Graz, Austria; Thomas Frischer: Dept of Paediatrics and Paediatric Surgery, Wilhelminenspital, Vienna, Austria; Gunilla Hedlin: Dept of Women’s and Children’s Health and Centre for Allergy Research, Karolinska Institutet and Astrid Lindgren Children’s Hospital, Stockholm, Sweden; Neeta Kulkarni: Leicestershire Partnership Trust and Dept of Infection, Immunity and Inflammation, University of Leicester, Leicester, UK; Christiane Lex: Dept of Paediatric Cardiology and Intensive Care Medicine, Division of Paediatric Respiratory Medicine, University Hospital Goettingen, Goettingen, Germany; Mika J. Mäkelä: Skin and Allergy Hospital, Helsinki University Hospital, Helsinki, Finland; Eva Mantzourani: Dept of Paediatrics, University Hospital of Heraklion, University of Crete, Heraklion, Greece; Alexander Moeller: Division of Respiratory Medicine, University Children’s Hospital Zurich, Zurich, Switzerland; Ian Pavord: Dept of Respiratory Medicine, University of Oxford, Oxford, UK; Giorgio Piacentini: Paediatric Section, Dept of Life and Reproduction Sciences, University of Verona, Verona, Italy; David Price: Dept of Primary Care Respiratory Medicine, Academic Primary Care, Division of Applied Health Sciences, University of Aberdeen, Aberdeen, UK; Bart L. Rottier: Dept of Pediatric Pulmonology and Allergology, GRIAC Research Institute, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Sejal Saglani: Leukocyte Biology and Respiratory Paediatrics, National Heart and Lung Institute, Imperial College London, London, UK; Peter D. Sly: Queensland Children’s Medical Research Institute, The University of Queensland, Brisbane, Australia; Stanley J. Szefler: Children’s Hospital Colorado and University of Colorado Denver School of Medicine, Denver, CO, USA; Steve Turner: Dept of Paediatrics, University of Aberdeen, Aberdeen, UK; Edwina Wooler: Royal Alexandra Children’s Hospital, Brighton, UK.

Footnotes

This is a supporting document of the ERS Task Force Monitoring Asthma in Children published in the European Respiratory Journal: Pijnenburg MW, Baraldi E, Brand PLP, et al. Monitoring asthma in children. Eur Respir J 2015; 45: 906–925.

Conflict of interest: Disclosures can be found alongside the online version of this article at err.ersjournals.com

Provenance: Submitted article, peer reviewed.

References

  • 1.Anderson HR, Gupta R, Kapetanakis V, et al. . International correlations between indicators of prevalence, hospital admissions and mortality for asthma in children. Int J Epidemiol 2008; 37: 573–582. [DOI] [PubMed] [Google Scholar]
  • 2.To T, Wang C, Guan J, et al. . What is the lifetime risk of physician-diagnosed asthma in Ontario, Canada? Am J Respir Crit Care Med 2010; 181: 337–343. [DOI] [PubMed] [Google Scholar]
  • 3.Fuhlbrigge AL, Guilbert T, Spahn J, et al. . The influence of variation in type and pattern of symptoms on assessment in pediatric asthma. Pediatrics 2006; 118: 619–625. [DOI] [PubMed] [Google Scholar]
  • 4.Gustafsson PM, Watson L, Davis KJ, et al. . Poor asthma control in children: evidence from epidemiological surveys and implications for clinical practice. Int J Clin Pract 2006; 60: 321–334. [DOI] [PubMed] [Google Scholar]
  • 5.Wildhaber J, Carroll WD, Brand PL. Global impact of asthma on children and adolescents' daily lives: the room to breathe survey. Pediatr Pulmonol 2012; 47: 346–357. [DOI] [PubMed] [Google Scholar]
  • 6.Lai CK, Beasley R, Crane J, et al. . Global variation in the prevalence and severity of asthma symptoms: phase three of the International Study of Asthma and Allergies in Childhood (ISAAC). Thorax 2009; 64: 476–483. [DOI] [PubMed] [Google Scholar]
  • 7.Lang A, Carlsen KH, Haaland G, et al. . Severe asthma in childhood: assessed in 10 year olds in a birth cohort study. Allergy 2008; 63: 1054–1060. [DOI] [PubMed] [Google Scholar]
  • 8.Sears MR, Greene JM, Willan AR, et al. . A longitudinal, population-based, cohort study of childhood asthma followed to adulthood. N Engl J Med 2003; 349: 1414–1422. [DOI] [PubMed] [Google Scholar]
  • 9.Stern DA, Morgan WJ, Wright AL, et al. . Poor airway function in early infancy and lung function by age 22 years: a non-selective longitudinal cohort study. Lancet 2007; 370: 758–764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Strunk RC, Weiss ST, Yates KP, et al. . Mild to moderate asthma affects lung growth in children and adolescents. J Allergy Clin Immunol 2006; 118: 1040–1047. [DOI] [PubMed] [Google Scholar]
  • 11.Svanes C, Sunyer J, Plana E, et al. . Early life origins of chronic obstructive pulmonary disease. Thorax 2010; 65: 14–20. [DOI] [PubMed] [Google Scholar]
  • 12.Cardarelli WJ. Asthma: are we monitoring the correct measures? Popul Health Manag 2009; 12: 87–94. [DOI] [PubMed] [Google Scholar]
  • 13.Haahtela T, Tuomisto LE, Pietinalho A, et al. . A 10 year asthma programme in Finland: major change for the better. Thorax 2006; 61: 663–670. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Pijnenburg MW, Baraldi E, Brand PLP, et al. . Monitoring asthma in children. Eur Respir J 2015; 45: 906–925. [DOI] [PubMed] [Google Scholar]
  • 15.Sinisgalli S, Collins MS, Schramm CM. Clinical features cannot distinguish allergic from non-allergic asthma in children. J Asthma 2012; 49: 51–56. [DOI] [PubMed] [Google Scholar]
  • 16.Holt PG, Sly PD. Viral infections and atopy in asthma pathogenesis: new rationales for asthma prevention and treatment. Nat Med 2012; 18: 726–735. [DOI] [PubMed] [Google Scholar]
  • 17.Pinart M, Benet M, Annesi-Maesano I, et al. . Comorbidity of eczema, rhinitis, and asthma in IgE-sensitised and non-IgE-sensitised children in MeDALL: a population-based cohort study. Lancet Respir Med 2014; 2: 131–140. [DOI] [PubMed] [Google Scholar]
  • 18.Bousquet J, Anto J, Auffray C, et al. . MeDALL (Mechanisms of the Development of ALLergy): an integrated approach from phenotypes to systems medicine. Allergy 2011; 66: 596–604. [DOI] [PubMed] [Google Scholar]
  • 19.Spycher BD, Silverman M, Kuehni CE. Phenotypes of childhood asthma: are they real? Clin Exp Allergy 2010; 40: 1130–1141. [DOI] [PubMed] [Google Scholar]
  • 20.Lotvall J, Akdis CA, Bacharier LB, et al. . Asthma endotypes: a new approach to classification of disease entities within the asthma syndrome. J Allergy Clin Immunol 2011; 127: 355–360. [DOI] [PubMed] [Google Scholar]
  • 21.Savenije OE, Granell R, Caudri D, et al. . Comparison of childhood wheezing phenotypes in 2 birth cohorts: ALSPAC and PIAMA. J Allergy Clin Immunol 2011; 127: 1505–1512. [DOI] [PubMed] [Google Scholar]
  • 22.Brasier AR, Victor S, Ju H, et al. . Predicting intermediate phenotypes in asthma using bronchoalveolar lavage-derived cytokines. Clin Transl Sci 2010; 3: 147–157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Saglani S, Bush A. The early-life origins of asthma. Curr Opin Allergy Clin Immunol 2007; 7: 83–90. [DOI] [PubMed] [Google Scholar]
  • 24.Saglani S, Bush A. Asthma, atopy, and airway inflammation: what does it mean in practice? Am J Respir Crit Care Med 2008; 178: 437–438. [DOI] [PubMed] [Google Scholar]
  • 25.Szefler SJ, Martin RJ, King TS, et al. . Significant variability in response to inhaled corticosteroids for persistent asthma. J Allergy Clin Immunol 2002; 109: 410–418. [DOI] [PubMed] [Google Scholar]
  • 26.Szefler SJ, Phillips BR, Martinez FD, et al. . Characterization of within-subject responses to fluticasone and montelukast in childhood asthma. J Allergy Clin Immunol 2005; 115: 233–242. [DOI] [PubMed] [Google Scholar]
  • 27.Merkus PJ, van Pelt W, van Houwelingen JC, et al. . Inhaled corticosteroids and growth of airway function in asthmatic children. Eur Respir J 2004; 23: 861–868. [DOI] [PubMed] [Google Scholar]
  • 28.Haland G, Carlsen KC, Sandvik L, et al. . Reduced lung function at birth and the risk of asthma at 10 years of age. N Engl J Med 2006; 355: 1682–1689. [DOI] [PubMed] [Google Scholar]
  • 29.Martinez FD, Morgan WJ, Wright AL, et al. . Diminished lung function as a predisposing factor for wheezing respiratory illness in infants. N Engl J Med 1988; 319: 1112–1117. [DOI] [PubMed] [Google Scholar]
  • 30.Young S, Arnott J, O'Keeffe PT, et al. . The association between early life lung function and wheezing during the first 2 yrs of life. Eur Respir J 2000; 15: 151–157. [DOI] [PubMed] [Google Scholar]
  • 31.Baena-Cagnani C, Rossi GA, Canonica GW. Airway remodelling in children: when does it start? Curr Opin Allergy Clin Immunol 2007; 7: 196–200. [DOI] [PubMed] [Google Scholar]
  • 32.Carlsen KH. Sports in extreme conditions: the impact of exercise in cold temperatures on asthma and bronchial hyper-responsiveness in athletes. Br J Sports Med 2012; 46: 796–799. [DOI] [PubMed] [Google Scholar]
  • 33.Riiser A, Hovland V, Carlsen KH, et al. . Does bronchial hyperresponsiveness in childhood predict active asthma in adolescence? Am J Respir Crit Care Med 2012; 186: 493–500. [DOI] [PubMed] [Google Scholar]
  • 34.Riiser A, Hovland V, Mowinckel P, et al. . Bronchial hyperresponsiveness decreases through childhood. Respir Med 2012; 106: 215–222. [DOI] [PubMed] [Google Scholar]
  • 35.Young S, O'Keeffe PT, Arnott J, et al. . Lung function, airway responsiveness, and respiratory symptoms before and after bronchiolitis. Arch Dis Child 1995; 72: 16–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Custovic A, Arifhodzic N, Robinson A, et al. . Exercise testing revisited. The response to exercise in normal and atopic children. Chest 1994; 105: 1127–1132. [DOI] [PubMed] [Google Scholar]
  • 37.Jackson DJ, Evans MD, Gangnon RE, et al. . Evidence for a causal relationship between allergic sensitization and rhinovirus wheezing in early life. Am J Respir Crit Care Med 2012; 185: 281–285. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Koh MS, Irving LB. The natural history of asthma from childhood to adulthood. Int J Clin Pract 2007; 61: 1371–1374. [DOI] [PubMed] [Google Scholar]
  • 39.Papadopoulos NG, Arakawa H, Carlsen KH, et al. . International consensus on (ICON) pediatric asthma. Allergy 2012; 67: 976–997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Szefler SJ. Advances in pediatric asthma in 2011: moving forward. J Allergy Clin Immunol 2012; 129: 60–68. [DOI] [PubMed] [Google Scholar]
  • 41.Bacharier LB, Boner A, Carlsen KH, et al. . Diagnosis and treatment of asthma in childhood: a PRACTALL consensus report. Allergy 2008; 63: 5–34. [DOI] [PubMed] [Google Scholar]
  • 42.British Thoracic Society, Scottish Intercollegiate Guidelines Network. British guideline on the management of asthma. Thorax 2008; 63: Suppl. 4, iv1–iv121. [DOI] [PubMed] [Google Scholar]
  • 43.Global Initiative for Asthma. Global Strategy for Asthma Management and Prevention. www.ginasthma.org/local/uploads/files/GINA_Report_2014_Aug12.pdf Date last updated: 2014. [Google Scholar]
  • 44.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. 5, S94–S138. [DOI] [PubMed] [Google Scholar]
  • 45.Reddel HK, Taylor DR, Bateman ED, et al. . An official American Thoracic Society/European Respiratory Society statement: asthma control and exacerbations: standardizing endpoints for clinical asthma trials and clinical practice. Am J Respir Crit Care Med 2009; 180: 59–99. [DOI] [PubMed] [Google Scholar]
  • 46.Lemanske RF Jr., Mauger DT, Sorkness CA, et al. . Step-up therapy for children with uncontrolled asthma receiving inhaled corticosteroids. N Engl J Med 2010; 362: 975–985. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Brand PLP, Mäkelä MJ, Szefler SJ, et al. . Monitoring asthma in childhood: symptoms, exacerbations and quality of life. Eur Respir Rev 2015; 24: 187–193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Rottier BL, Eber E, Hedlin G, et al. . Monitoring asthma in childhood: management-related issues. Eur Respir Rev 2015; 24: 194–203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Moeller A, Carlsen K-H, Sly PD, et al. . Monitoring asthma in childhood: lung function, bronchial responsiveness and inflammation. Eur Respir Rev 2015; 24: 204–215. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Klok T, de Groot EP, Brouwer AFJ, et al. . Follow-up of children with asthma. In: Carlsen K-H, Gerritsen J, eds. Paediatric Asthma. ERS Monogr 2012; 56: 210–223. [Google Scholar]
  • 51.de Jongste JC, Carraro S, Hop WC, et al. . Daily telemonitoring of exhaled nitric oxide and symptoms in the treatment of childhood asthma. Am J Respir Crit Care Med 2009; 179: 93–97. [DOI] [PubMed] [Google Scholar]
  • 52.Deschildre A, Béghin L, Salleron J, et al. . Home telemonitoring (forced expiratory volume in 1 s) in children with severe asthma does not reduce exacerbations. Eur Respir J 2012; 39: 290–296. [DOI] [PubMed] [Google Scholar]
  • 53.Wensley D, Silverman M. Peak flow monitoring for guided self-management in childhood asthma – a randomized controlled trial. Am J Respir Crit Care 2004; 170: 606–612. [DOI] [PubMed] [Google Scholar]
  • 54.Balemans WA, van der Ent CK, Schilder AG, et al. . Prediction of asthma in young adults using childhood characteristics: development of a prediction rule. J Clin Epidemiol 2006; 59: 1207–1212. [DOI] [PubMed] [Google Scholar]
  • 55.Lowe L, Custovic A, Woodcock A. Childhood asthma. Curr Allergy Asthma Rep 2004; 4: 159–165. [DOI] [PubMed] [Google Scholar]
  • 56.Busse WW. The precipitation of asthma by upper respiratory infections. Chest 1985; 87: Suppl. 1, 44S–48S. [DOI] [PubMed] [Google Scholar]
  • 57.Gern JE. Viral respiratory infection and the link to asthma. Pediatr Infect Dis J 2008; 27: Suppl. 10, S97–S103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Hovland V, Riiser A, Mowinckel P, et al. . The significance of early recurrent wheeze for asthma outcomes in late childhood. Eur Respir J 2013; 41: 838–845. [DOI] [PubMed] [Google Scholar]
  • 59.Jackson DJ, Johnston SL. The role of viruses in acute exacerbations of asthma. J Allergy Clin Immunol 2010; 125: 1178–1187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Johnston SL. The role of viral and atypical bacterial pathogens in asthma pathogenesis. Pediatr Pulmonol Suppl 1999; 18: 141–143. [PubMed] [Google Scholar]
  • 61.Martinez FD. The origins of asthma and chronic obstructive pulmonary disease in early life. Proc Am Thorac Soc 2009; 6: 272–277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Castro-Rodriguez JA, Cifuentes L, Rodriguez-Martinez CE. The asthma predictive index remains a useful tool to predict asthma in young children with recurrent wheeze in clinical practice. J Allergy Clin Immunol 2011; 127: 1082–1083. [DOI] [PubMed] [Google Scholar]
  • 63.Devulapalli CS, Carlsen KC, Haland G, et al. . Severity of obstructive airways disease by age 2 years predicts asthma at 10 years of age. Thorax 2008; 63: 8–13. [DOI] [PubMed] [Google Scholar]
  • 64.Almqvist C, Li Q, Britton WJ, et al. . Early predictors for developing allergic disease and asthma: examining separate steps in the “allergic march”. Clin Exp Allergy 2007; 37: 1296–1302. [DOI] [PubMed] [Google Scholar]
  • 65.Illi S, von Mutius E, Lau S, et al. . Perennial allergen sensitisation early in life and chronic asthma in children: a birth cohort study. Lancet 2006; 368: 763–770. [DOI] [PubMed] [Google Scholar]
  • 66.Lodrup Carlsen KC, Soderstrom L, Mowinckel P, et al. . Asthma prediction in school children; the value of combined IgE-antibodies and obstructive airways disease severity score. Allergy 2010; 65: 1134–1140. [DOI] [PubMed] [Google Scholar]
  • 67.Wahn U, Bergmann R, Kulig M, et al. . The natural course of sensitisation and atopic disease in infancy and childhood. Pediatr Allergy Immunol 1997; 8: 16–20. [PubMed] [Google Scholar]
  • 68.Chawes BL, Bonnelykke K, Kreiner-Moller E, et al. . Children with allergic and nonallergic rhinitis have a similar risk of asthma. J Allergy Clin Immunol 2010; 126: 567–573. [DOI] [PubMed] [Google Scholar]
  • 69.de Groot EP, Nijkamp A, Duiverman EJ, et al. . Allergic rhinitis is associated with poor asthma control in children with asthma. Thorax 2012; 67: 582–587. [DOI] [PubMed] [Google Scholar]
  • 70.Kiotseridis H, Cilio CM, Bjermer L, et al. . Quality of life in children and adolescents with respiratory allergy, assessed with a generic and disease-specific instrument. Clin Respir J 2013; 7: 168–175. [DOI] [PubMed] [Google Scholar]
  • 71.Thomas M, Kocevar VS, Zhang QY, et al. . Asthma-related health care resource use among asthmatic children with and without concomitant allergic rhinitis. Pediatrics 2005; 115: 129–134. [DOI] [PubMed] [Google Scholar]
  • 72.Kiotseridis H, Cilio CM, Bjermer L, et al. . Grass pollen allergy in children and adolescents-symptoms, health related quality of life and the value of pollen prognosis. Clin Transl Allergy 2013; 3: 19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Cook DG, Strachan DP. Summary of effects of parental smoking on the respiratory health of children and implications for research. Thorax 1999; 54: 357–365. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Kim JJ, American Academy of Pediatrics Committee on Environmental Health. Ambient air pollution: health hazards to children. Pediatrics 2004; 114: 1699–1707. [DOI] [PubMed] [Google Scholar]
  • 75.World Health Organization. Effects of air pollution on children's health and development. A review of evidence. Special Programme on Health and Development. Denmark, WHO, 2005. [Google Scholar]
  • 76.Vargas PA, Brenner B, Clark S, et al. . Exposure to environmental tobacco smoke among children presenting to the emergency department with acute asthma: a multicenter study. Pediatr Pulmonol 2007; 42: 646–655. [DOI] [PubMed] [Google Scholar]
  • 77.Lødrup Carlsen KC, Hedlin G, Bush A, et al. . Assessment of problematic severe asthma in children. Eur Respir J 2011; 37: 432–440. [DOI] [PubMed] [Google Scholar]
  • 78.Kupczyk M, Haahtela T, Cruz AA, et al. . Reduction of asthma burden is possible through National Asthma Plans. Allergy 2010; 65: 415–419. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

ERR-0037-2014_Lodrup_Carlsen.pdf
ERR-0037-2014_Pijnenburg.pdf

Articles from European Respiratory Review are provided here courtesy of European Respiratory Society

RESOURCES