Literature DB >> 32099412

Prevalence and Predictors of Uncontrolled Asthma in Children Referred for Asthma and Other Atopic Diseases.

H M Kansen1,2, T M Le2, Cspm Uiterwaal3, B E van Ewijk4, Waf Balemans5, Dmw Gorissen6, E de Vries7, M F van Velzen8, Ghpr Slabbers9, Y Meijer1, A C Knulst2, C K van der Ent1, F C van Erp2.   

Abstract

BACKGROUND: Uncontrolled asthma in children is still highly prevalent despite the availability of effective asthma treatment. We investigated 1) the prevalence of uncontrolled asthma among children referred for asthma and referred for atopic diseases other than asthma (ie food allergy, allergic rhinitis or atopic dermatitis) to secondary care; and 2) the predictors associated with uncontrolled asthma.
METHODS: All children (4 to 18 years) referred for asthma or atopic diseases other than asthma to 8 secondary care centers in The Netherlands were invited to an electronic portal (EP). The EP is a web-based application with several validated questionnaires including the ISAAC questionnaires and the Asthma Control Test (ACT). Children were eligible for inclusion in this study when their parents reported in the EP that their child had asthma diagnosed by a physician. The ACT was used to assess asthma control. Multiple predictors of asthma control (patient, asthma and atopic characteristics) were evaluated by univariable and multivariable logistic regression analyses.
RESULTS: We included 408 children: 259 children (63%) with asthma referred for asthma and 149 children (37%) with asthma referred for atopic diseases other than asthma. Thirty-nine percent of all children had uncontrolled asthma: 47% of the children referred for asthma and 26% of the children referred for atopic diseases other than asthma. Predictors associated with uncontrolled asthma were a family history of asthma (odds ratio [OR] 2.08; 95% confidence interval [95% CI] 1.34 to 3.24), and recurrent upper and lower respiratory tract infections in the past year (OR 2.40; 95% CI 1.52 to 3.81 and OR 2.00; 95% CI 1.25 to 3.23, respectively).
CONCLUSION: Uncontrolled asthma is highly prevalent in children with asthma referred to secondary care, even if children are primarily referred for atopic diseases other than asthma. Thus, attention should be paid to asthma control in this population.
© 2020 Kansen et al.

Entities:  

Keywords:  asthma; asthma control; atopic diseases; prognosis; respiratory tract infections

Year:  2020        PMID: 32099412      PMCID: PMC6999583          DOI: 10.2147/JAA.S231907

Source DB:  PubMed          Journal:  J Asthma Allergy        ISSN: 1178-6965


Background

Asthma is one of the most common chronic inflammatory diseases in the Western world, and a notable cause of morbidity in children.1 Good asthma control is the main management goal according to current asthma management guidelines, as this decreases the risk of asthma exacerbations and improves the quality of life.2 However, uncontrolled asthma is still highly prevalent despite the availability of effective asthma treatment.3 In order to achieve adequate asthma control in children with asthma, it is necessary to gain insight into the current prevalence of uncontrolled asthma among children and the associated predictors. Several predictors of uncontrolled asthma in children have been previously described such as age, male gender, maternal education level, exposure to indoor smoking, pet ownership, high use of short-acting β2-agonists, incorrect inhaler technique, poor adherence to asthma medication and the presence of co-existing diseases.2,4,5 Many children with asthma have co-existing atopic diseases – including food allergy, allergic rhinitis and atopic dermatitis – or recurrent respiratory tract infections. Food allergy has been reported in around 25% of children with asthma, allergic rhinitis in 60%, atopic dermatitis in 45% and recurrent respiratory tract infections in 60%.6–10 Atopic comorbidities and recurrent respiratory tract infections are associated with increased asthma morbidity. Children with asthma and food allergy have increased asthma symptoms and a significantly lower lung function compared to asthmatic children without food allergy.6,11 Children with asthma and allergic rhinitis have a lower level of asthma control compared to asthmatic children without allergic rhinitis.12,13 In addition, the presence of allergic rhinitis increases the risk of asthma exacerbations, emergency visits and hospitalizations. Furthermore, recurrent respiratory tract infections are associated with asthma exacerbations in children and a lower level of asthma control.14 Although predictors of uncontrolled asthma have been previously investigated in various studies, there are still some gaps in knowledge. The majority of research investigating asthma control is conducted among children referred for asthma4,15 or among children in the general population5,6,8,12 but not among children that are referred with atopic diseases other than asthma to secondary care. The aim of this cross-sectional study was 1) to investigate the prevalence of uncontrolled asthma among children referred for asthma and among children referred for atopic diseases other than asthma, and 2) to investigate the predictors, including atopic comorbidities, associated with uncontrolled asthma among these children.

Methods

Domain and Data Collection

We conducted a cross-sectional study among children aged 4 to 18 years who were referred to a participating secondary care center (n=8) in the Netherlands between June 2011 and December 2017. All children who were referred for asthma or for atopic diseases other than asthma (ie food allergy, allergic rhinitis or atopic dermatitis) were invited to fill in an electronic portal (EP) as part of their outpatient visit. There were no exclusion criteria for participation in the EP. Children were eligible for inclusion in this study when their parents reported in the EP that their child had a physician-diagnosed asthma. The structure of the EP has been published previously.16 In brief, the EP is a web-based application for children and their parents which has been developed and used by a nationwide collaborative network of Dutch caregivers in primary-, secondary- and tertiary health care. The aim of the EP is to collect information on asthma, atopic comorbidities and recurrent respiratory tract infections using validated questionnaires including the ISAAC core questionnaires for wheezing, allergic rhinitis, and atopic dermatitis, the Asthma Control Test, the Pediatric Asthma Quality of Life Questionnaire and the RAND general health questionnaire.17–22 The study has been approved by the Medical Ethics Committee of the University Medical Center Utrecht (No. 10/348) and all parents and/or children gave informed consent in the EP.

Outcome

Asthma control during the past month was assessed using the standardized and validated Child-Asthma Control Test (C-ACT) in children 4 to 12 years of age and the Asthma Control Test (ACT) in children ≥12 years of age.18,19 The final asthma control score is the summed score ranging from 5 through 27 (C-ACT) or 5 through 25 (ACT) with higher scores indicating better asthma control. A score of <20 indicates uncontrolled asthma.18,19

Potential Predictors of Asthma Control

Potential predictors of asthma control were selected based on clinical knowledge and prior research: age (4 to 12 years or 12 to 18 years), gender, maternal education level (categories "low", "middle" or "high"), a family history of asthma in one or both parent(s), current smoke exposure, current pet ownership, use of daily inhaled corticosteroids (categories “no”, “yes, adherent” or “yes, non-adherent”), food allergy, allergic rhinitis, atopic dermatitis, recurrent upper respiratory tract infections in the past year, recurrent lower respiratory tract infections in the past year and the referral reason (categories “referral for asthma” or “referral for atopic diseases other than asthma”). Food allergy was defined as self-reported relevant allergic complaints (urticaria, oral allergy symptoms, angioedema, upper or lower respiratory complaints, vomiting, a loss of consciousness or anaphylaxis) within 2 hrs after ingestion of a food (yes or no). Allergic rhinitis was defined as having problems with sneezing, or a runny, or a blocked nose when the child did not have a cold or the flu, accompanied by itchy-watery eyes in the past 12 months (yes or no). Atopic dermatitis was defined as the presence of an itchy rash for 6 months or longer ever and complaints of an itchy rash in the past 12 months (yes or no). Recurrent upper respiratory tract infections included middle ear infections, croup, a cold or laryngitis and was defined as ≥8 episodes/year for children aged 2 to 5 years, ≥6 for ages 5–10 years and ≥4 for ages 10 years or older. Recurrent lower respiratory tract infections included severe bronchitis or pneumonia and were defined as ≥2 episodes/year for children of all ages. Definitions of all predictors are displayed in . Adherence to asthma medication was assessed among all parents of children using daily inhaled corticosteroids by the Medication Adherence Rating Scale (MARS).23 The MARS is a 5-item questionnaire on medication use behavior. Children with a total MARS score ≥21 were considered adherent.24

Statistical Analysis

Differences between children with complete and incomplete data and differences between children referred for asthma and referred for atopic diseases other than asthma were statistically evaluated by the chi-square test for categorical variables, the unpaired t-test for normally distributed continuous variables and the Mann–Whitney U-tests for non-normally distributed continuous variables with Bonferroni correction for multiple testing. Univariable and multivariable logistic regression analyses of all potential predictors as independent variables and asthma control (well-controlled versus uncontrolled) as the dependent variable were performed. We manually removed predictors one by one based on the p-value (p > 0.20 based on the likelihood ratio test) and change in model fit (Akaike information criterion).25 The odds ratios (ORs) with 95% confidence intervals (CIs) were estimated. A p-value < 0.05 was considered statistically significant. In addition to backward selection, forward selection was conducted to evaluate whether the identified predictors were robust based on the sample. Both methods identified the same predictors. All analyses were performed in SPSS Statistics for Windows (Version 25.0. Armonk, NY: IMB Corp).

Results

Patients

The study population flowchart is displayed in Figure 1. A total of 1676 children aged 4 to 18 years were invited for the electronic portal and 1556 (93%) completed the screening questionnaire. Parents of 579 children reported their child to have asthma diagnosed by a physician. Asthma diagnosis was established by a pediatrician in 284 (49.1%) children, by a general practitioner in 235 (40.6%) children and by a pulmonologist in 60 (10.4%) children. Complete data on the ACT and all predictors were available in 408 of 579 children (70%). These children did not differ in the level of asthma control, the frequencies of atopic comorbidities and the frequencies of other predictors (data not shown). Only children with complete data were included in the analysis of asthma control.
Figure 1

Study population flowchart.

Abbreviations: (C-) ACT, (Child) Asthma Control Test; EP, electronic portal; n, number.

Study population flowchart. Abbreviations: (C-) ACT, (Child) Asthma Control Test; EP, electronic portal; n, number.

Asthma Control in Children Referred for Asthma or Atopic Diseases Other Than Asthma

Clinical characteristics of 408 children with asthma are displayed in Table 1, stratified by the referral reason: 259 children (63%) with asthma were referred for asthma and 149 children (37%) with asthma were referred for atopic diseases other than asthma including food allergy, allergic rhinitis, atopic dermatitis or other. Children had a mean (SD) age of 10.6 (3.5) years and were predominantly Dutch (83%). Uncontrolled asthma (ACT score < 20) was found in 160 children (39%): in 121 of 259 children (47%) referred for asthma and in 39 of 149 children (26%) referred for atopic diseases other than asthma. Children referred for asthma were more likely to use daily inhaled corticosteroids compared to children referred for atopic diseases other than asthma (80% versus 56%, respectively), and were less likely to report at least on other atopic comorbidity (61% versus 89%, respectively). The proportion of atopic comorbidities in children in both referral groups is displayed in Figure 2. Almost 40% of children in both referral groups reported recurrent upper respiratory tract infections in the past year.
Table 1

Clinical Characteristics of Children with Asthma

All ChildrenReferral Reasonp-valuea
AsthmaAtopic Disease Other Than Asthma
408 (100)259 (63)149 (37)
Demographic Characteristics
Age in years, mean (SD)10.6 (3.5)10.3 (3.4)11.2 (3.6)0.021
Male gender238 (58)160 (62)78 (52)0.076
Both parents Dutch340 (83)210 (81)130 (87)0.129
Maternal education level0.459
 Low55 (14)33 (13)22 (15)
 Middle164 (40)100 (39)64 (43)
 High189 (46)126 (49)63 (42)
Family history of asthma198 (49)124 (48)74 (50)0.758
Family history of other atopic disease331 (81)205 (79)126 (85)0.191
Current smoke exposure31 (8)17 (7)14 (9)0.334
Current pet ownership165 (40)105 (41)60 (40)1.000
Asthma Characteristics
Wheezing at night (past year)173 (42)124 (48)49 (33)0.004
Coughing at night (past year)196 (48)132 (51)64 (43)0.124
Inhaled short-acting β2-agonists (past week)228 (56)158 (61)70 (47)0.007
Inhaled corticosteroids (daily) b<0.001
 No118 (29)53 (21)65 (44)
 Yes, adherent213 (52)154 (60)59 (40)
 Yes, non-adherent77 (19)52 (20)25 (16)
(Atopic) Comorbidities
Any atopic comorbidity291 (71)159 (61)132 (89)<0.001
 Food allergy87 (21)30 (12)57 (38)<0.001
 Allergic rhinitis200 (49)100 (39)100 (67)<0.001
 Atopic dermatitis173 (42)91 (35)82 (55)<0.001
Recurrent upper RTIs (yes)146 (36)89 (34)57 (38)0.454
Recurrent lower RTIs (yes)116 (28)82 (32)34 (23)0.068
Quality of Life
PAQLQ, median (IQR)6.1 (5.4–6.7)5.9 (5.0–6.6)6.2 (5.6–6.8)0.003
RAND, mean (SD)21 (4.6)21 (4.5)21 (4.7)0.991
Referral Reason
Asthma259 (64)259 (100)0
Food allergy73 (18)073 (49)
Allergic rhinitis38 (9)038 (26)
Atopic dermatitis27 (7)027 (18)
Other, none of the above11 (3)011 (7)

Notes: Data are n (%) unless otherwise stated. aStatistical comparisons between referral groups with p values of less than 0.003 taken to be significant according to Bonferroni correction for multiple testing. bMedication adherence was assessed by the Medication Adherence Rating Scale (MARS).23 Children with a total MARS score ≥21 were considered adherent and a score <21 were considered non-adherent.24

Abbreviations: IQR, interquartile range; RTIs, respiratory tract infections; n, number; NA, not applicable; SD, standard deviation.

Figure 2

Venn diagrams displaying the proportion of atopic comorbidities among children with asthma stratified by referral reason (A and B). Data are n (%).

Clinical Characteristics of Children with Asthma Notes: Data are n (%) unless otherwise stated. aStatistical comparisons between referral groups with p values of less than 0.003 taken to be significant according to Bonferroni correction for multiple testing. bMedication adherence was assessed by the Medication Adherence Rating Scale (MARS).23 Children with a total MARS score ≥21 were considered adherent and a score <21 were considered non-adherent.24 Abbreviations: IQR, interquartile range; RTIs, respiratory tract infections; n, number; NA, not applicable; SD, standard deviation. Venn diagrams displaying the proportion of atopic comorbidities among children with asthma stratified by referral reason (A and B). Data are n (%).

Predictors of Asthma Control

Univariable logistic regression analyses showed that a family history of asthma, the use of daily inhaled corticosteroids in children who were considered non-adherent, recurrent upper and lower respiratory tract infections in the past year and a referral for asthma were associated with uncontrolled asthma (Table 2). In a multivariable logistic regression analysis, a family history of asthma (odds ratio [OR] 2.08; 95% CI 1.34 to 3.24), recurrent upper respiratory tract infections in the past year (OR 2.40; 95% CI 1.52 to 3.81), recurrent lower respiratory tract infections in the past year (OR 2.00; 95% CI 1.25 to 3.23) and a referral for asthma (OR 2.60; 95% CI 1.61 to 4.26) were independently and significantly associated with uncontrolled asthma (Table 2). Uncontrolled asthma was observed in 47% of children with a family history of asthma versus 32% of children without a family history of asthma, in 51% of children with recurrent upper RTIs versus 32% of children without recurrent upper RTIs and in 53% of children with recurrent lower RTIs versus 34% of children without recurrent lower RTIs. The full multivariable logistic regression analysis is presented in . Atopic comorbidities, including food allergy, allergic rhinitis and atopic dermatitis, were not associated with uncontrolled asthma.
Table 2

Univariable and Fitted Multivariable Logistic Regression Analysis with Uncontrolled Asthma (ACT Score <20) as the Outcome

PredictorChildren with Asthman=408
Univariable AnalysisFitted Multivariable Analysisa
OR (95% CI)p-valueOR (95% CI)p-value
Age category0.616
 4–12 yearsRef
 12–18 years0.90 (0.60 to 1.36)
Male gender1.45 (0.97 to 2.18)0.0741.50 (0.96 to 2.37)0.073
Maternal education level0.1960.099
 LowRefRef
 Middle1.52 (0.81 to 2.91)1.60 (0.81 to 3.23)
 High1.06 (0.57 to 2.03)0.98 (0.50 to 1.98)
Family history of asthma1.81 (1.21 to 2.72)0.0042.08 (1.34 to 3.24)0.001
Current smoke exposure1.73 (0.82 to 3.63)0.146
Current pet ownership1.42 (0.95 to 2.13)0.0871.51 (0.97 to 2.36)0.066
Inhaled corticosteroids (daily)b0.0270.147
 NoRefRef
 Yes, adherent1.54 (0.96 to 2.50)1.05 (0.62 to 1.79)
 Yes, non-adherent2.22 (1.23 to 4.04)1.78 (0.93 to 3.44)
Food allergy0.52 (0.30 to 0.86)0.011
Allergic rhinitis0.87 (0.58 to 1.29)0.486
Atopic dermatitis0.85 (0.57 to 1.27)0.430
Recurrent upper RTIs (yes)2.20 (1.45 to 3.34)<0.0012.40 (1.52 to 3.81)<0.001
Recurrent lower RTIs (yes)2.27 (1.47 to 3.53)<0.0012.00 (1.25 to 3.23)0.004
Referral reason<0.001<0.001
 Referral for atopic diseases other than asthmaRefRef
 Referral for asthma2.47 (1.60 to 3.87)2.60 (1.61 to 4.26)

Notes: aFitted multivariable logistic regression model after backward selection. bMedication adherence was assessed by the Medication Adherence Rating Scale (MARS).23 Children with a total MARS score ≥21 were considered adherent and a score <21 were considered non-adherent.24

Abbreviations: ACT, Asthma Control Test; CI, confidence interval; RTIs, respiratory tract infections; n, number; OR, odds ratio; Ref, Reference category.

Univariable and Fitted Multivariable Logistic Regression Analysis with Uncontrolled Asthma (ACT Score <20) as the Outcome Notes: aFitted multivariable logistic regression model after backward selection. bMedication adherence was assessed by the Medication Adherence Rating Scale (MARS).23 Children with a total MARS score ≥21 were considered adherent and a score <21 were considered non-adherent.24 Abbreviations: ACT, Asthma Control Test; CI, confidence interval; RTIs, respiratory tract infections; n, number; OR, odds ratio; Ref, Reference category.

Discussion

Our study indicates that a high percentage of uncontrolled asthma is not only observed in children with asthma who were referred for asthma to secondary care (47%) but uncontrolled asthma is also highly prevalent in children with asthma who were referred for atopic diseases other than asthma (26%). The prevalence of uncontrolled asthma in our population of children with asthma referred for atopic diseases other than asthma is notably higher than the prevalence observed in children with asthma among the general population (15%).5 In addition, only 56% of the children with asthma referred for atopic diseases other than asthma were prescribed daily inhaled corticosteroids suggesting these children were inappropriately treated.26 Our results suggest that assessment of asthma control and optimization of asthma treatment are not only important for children referred for asthma but also for children primarily referred for allergic complaints other than asthma. We found a family history of asthma, recurrent upper and lower respiratory tract infections in the past year to be independently associated with uncontrolled asthma. Children with a family history of asthma might have more frequent uncontrolled asthma due to increased asthma severity, as suggested in previous research.27 Furthermore, children with a family history of asthma might have more frequent uncontrolled asthma as parents with asthma may be less concerned about the asthma symptoms of their child as they are familiar with asthma symptoms themselves. Finally, recurrent upper and lower respiratory tract infections were associated with uncontrolled asthma. This observation is concordant with previous studies that showed that respiratory tract infections can have a profound effect on loss of control and asthma exacerbations in both children and adults.28 Furthermore, asthma attacks are often triggered by respiratory tract infections. Another explanation for the observed association between respiratory tract infections and uncontrolled asthma might be that asthma has been misdiagnosed.29 Previous studies indicate that parent-reported physician-diagnosed asthma in children is often not confirmed upon lung function testing and respiratory symptoms were due to, eg viral illnesses.29,30 Atopic comorbidities, ie food allergy, allergic rhinitis and atopic dermatitis, were not independently associated with asthma control in our population of children referred with respiratory or allergic complaints. Previous research in children with asthma reported an increased risk of uncontrolled asthma and increased asthma morbidity (ie hospitalization, use of controller medication) in children with asthma and food allergy6 or allergic rhinitis.4,5 We might not have detected an association between atopic comorbidities and asthma control because the atopic comorbidities were self-reported. Furthermore, most studies focused on an individual comorbidity and included additional relevant predictors associated with the comorbidity in the analysis, eg the season of the questionnaire, the severity of the atopic comorbidity or medication use. The sample size of our study was too small to consider all these additional relevant predictors per atopic comorbidity in the regression model. This may explain why the association was not found. The major limitation of the present study is that all data were self-reported, lacking objective data such as lung function testing or specific IgE measurement. The diagnosis of asthma was based on a parent-reported physician-diagnosis and the diagnoses of atopic comorbidities were mainly based on the ISAAC questionnaire. Therefore, the prevalence of these diseases may have been overestimated31,32 or underestimated.33 In addition, we only included the children with complete data which may have caused selection bias. However, the children with complete data were comparable to the children with incomplete data in the frequencies of all predictors and the level of asthma control providing confidence that the children included in the study are a fair representation of the overall study population. Finally, we did not assess long-term asthma control and the frequency of asthma exacerbations, emergency department visits and hospitalizations. However, our study is strengthened by the inclusion of a large population of children with parent-reported physician-diagnosed asthma in eight secondary care centers in the Netherlands, rigorous data collection using several validated questionnaires in children and parents, as well as the assessment of asthma, atopic comorbidities and respiratory tract infections simultaneously.

Conclusions

In conclusion, this study demonstrates that assessment of asthma control is not only important for all children referred for asthma to secondary care but also for children with asthma who are referred for atopic diseases other than asthma. Special attention should be paid to children with asthma who have a family history of asthma, or have a history of recurrent upper and/or lower respiratory tract infections in the past year, as these predictors are associated with uncontrolled asthma.
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Journal:  Allergy       Date:  2008-04       Impact factor: 13.146

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Journal:  Br J Gen Pract       Date:  2016-03       Impact factor: 5.386

Review 3.  Comorbid "treatable traits" in difficult asthma: Current evidence and clinical evaluation.

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Journal:  Allergy       Date:  2017-12-15       Impact factor: 13.146

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Journal:  J Asthma       Date:  2018-03-13       Impact factor: 2.515

5.  Factors associated with asthma control in children: findings from a national Web-based survey.

Authors:  Mari Sasaki; Koichi Yoshida; Yuichi Adachi; Mayumi Furukawa; Toshiko Itazawa; Hiroshi Odajima; Hirohisa Saito; Akira Akasawa
Journal:  Pediatr Allergy Immunol       Date:  2014-12       Impact factor: 6.377

Review 6.  Epidemiologic evidence for asthma and rhinitis comorbidity.

Authors:  B Leynaert; F Neukirch; P Demoly; J Bousquet
Journal:  J Allergy Clin Immunol       Date:  2000-11       Impact factor: 10.793

7.  [The Dutch 'Rand General Health Rating Index for Children': a questionnaire measuring the general health status of children].

Authors:  M W Post; M M Kuyvenhoven; M J Verheij; R A de Melker; A W Hoes
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8.  Worldwide severity and control of asthma in children and adults: the global asthma insights and reality surveys.

Authors:  Klaus F Rabe; Mitsuru Adachi; Christopher K W Lai; Joan B Soriano; Paul A Vermeire; Kevin B Weiss; Scott T Weiss
Journal:  J Allergy Clin Immunol       Date:  2004-07       Impact factor: 10.793

9.  The expert network and electronic portal for children with respiratory and allergic symptoms: rationale and design.

Authors:  Kim Zomer-Kooijker; Francine C van Erp; Walter A F Balemans; Bart E van Ewijk; Cornelis K van der Ent
Journal:  BMC Pediatr       Date:  2013-01-16       Impact factor: 2.125

Review 10.  Viral infections in allergy and immunology: How allergic inflammation influences viral infections and illness.

Authors:  Michael R Edwards; Katherine Strong; Aoife Cameron; Ross P Walton; David J Jackson; Sebastian L Johnston
Journal:  J Allergy Clin Immunol       Date:  2017-10       Impact factor: 10.793

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Journal:  Int Immunopharmacol       Date:  2020-12-30       Impact factor: 5.714

2.  Benefits and risks of bronchoalveolar lavage in severe asthma in children.

Authors:  Raja Ben Tkhayat; Jessica Taytard; Harriet Corvol; Laura Berdah; Blandine Prévost; Jocelyne Just; Nadia Nathan
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