Literature DB >> 20811908

Assessment of pediatric asthma drug use in three European countries; a TEDDY study.

Elif Fatma Sen1, Katia M C Verhamme, Antje Neubert, Yingfen Hsia, Macey Murray, Mariagrazia Felisi, Carlo Giaquinto, Geert W 't Jong, Gino Picelli, Eugenio Baraldi, Alfredo Nicolosi, Adriana Ceci, Ian C Wong, Miriam C J M Sturkenboom.   

Abstract

UNLABELLED: Asthma drugs are amongst the most frequently used drugs in childhood, but international comparisons on type and indication of use are lacking. The aim of this study was to describe asthma drug use in children with and without asthma in the Netherlands (NL), Italy (IT), and the United Kingdom (UK). We conducted a retrospective analysis of outpatient medical records of children 0-18 years from 1 January 2000 until 31 December 2005. For all children, prescription rates of asthma drugs were studied by country, age, asthma diagnosis, and off-label status. One-year prevalence rates were calculated per 100 children per patient-year (PY). The cohort consisted of 671,831 children of whom 49,442 had been diagnosed with asthma at any time during follow-up. ß2-mimetics and inhaled steroids were the most frequently prescribed asthma drug classes in NL (4.9 and 4.1/100 PY), the UK (8.7 and 5.3/100 PY) and IT (7.2 and 16.2/100 PY), respectively. Xanthines, anticholinergics, leukotriene receptor antagonists, and anti-allergics were prescribed in less than one child per 100 per year. In patients without asthma, ß2-mimetics were used most frequently. Country differences were highest for steroids, (Italy highest), and for ß2-mimetics (the UK highest). Off-label use was low, and most pronounced for ß2-mimetics in children <18 months (IT) and combined ß2-mimetics + anticholinergics in children <6 years (NL).
CONCLUSION: This study shows that among all asthma drugs, ß2-mimetics and inhaled steroids are most often used, also in children without asthma, and with large variability between countries. Linking multi-country databases allows us to study country specific pediatric drug use in a systematic manner without being hampered by methodological differences. This study underlines the potency of healthcare databases in rapidly providing data on pediatric drug use and possibly safety.

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Year:  2010        PMID: 20811908      PMCID: PMC3016194          DOI: 10.1007/s00431-010-1275-7

Source DB:  PubMed          Journal:  Eur J Pediatr        ISSN: 0340-6199            Impact factor:   3.183


Introduction

Respiratory drugs are amongst the most frequently prescribed drugs in children, and especially, asthma drugs are frequently prescribed [32]. Prevalence rates of asthma drug use range between 4% and 26%, depending on country, age range, and study period (Table 1) [2, 6, 9, 11, 12, 14, 16, 18, 20, 21, 40, 43]. Asthma is defined as a chronic inflammatory disorder of the airways and is associated with airway hyperresponsiveness that leads to recurrent episodes of wheezing, breathlessness, chest tightness, and coughing [35]. In children aged 5 years and younger, the clinical symptoms of asthma are variable and non-specific. Furthermore, routine testing for main asthma features is not possible in this age group, which hampers making a diagnosis.
Table 1

Overview of studies that have investigated the prevalence of asthma-related drug use in children

AuthorType of dataCountryYears studiedNumber of children in studyAge(years)Prevalence estimateStudy drugs
Bianchi et al. [2]Pharmacy dispensing records (NHS claims data)Italy200355,2420–<1811.9All asthma drugs (R03)
Bollinger et al. [6]Pharmacy dispensing records (Medicaid claims data)USA1997–200057,586–282,4020–<1810.4–13.2ß2-mim, ICS, LTRA, xanthines, OS
Clavenna et al. [11]Pharmacy dispensing records (NHS claims data)Italy2006923,3530–<1426All asthma drugs (R03)
Clavenna et al. [9]Pharmacy dispensing records (NHS claims data)Italy2000417,5590–<1422.2All drugs, including ATC R03
Khaled et al. [20]Pharmacy dispensing records (Claims data from administrative databases)Canada1999–20001,031,7310–<1818ß2-mim, ICS, LTRA, xanthines, cromones, ketotifen
Korelitz et al. [21]Pharmacy dispensing records (IL Claims data IL)USA2004–20054,259,1030–<1814.58ß2-mim, ICS, ACH, cromones, xanthines, OS
Goodman et al. [16]Pharmacy dispensing records (GHC)USA1984–199383,232 (in 93)0–<184.0–8.1ß2-mim, ICS, cromones, xanthines, fixed combinations
De Vries et al. [12]Pharmacy dispensing records (IADB)Netherlands200273,4160–<154.9ß2-mim, ICS, LTRA, ACH, fixed combinations, antihistamines, OA
Furu et al. [14]Pharmacy dispensing records (NPD)Norway20041,192,8410–<209.1All asthma drugs (R03)
Joesch et al. [18]Pharmacy dispensing records (MEPS)USA199667890–<186.5ß2-mim, ICS, LTRA, ACH, cromones, xanthenes
Wang et al. [40]Survey, claims, prescriptions (MEPS)USA1996, 1998, 200015,5545–175.2ß2-mim, ICS, LTRA, ACH, cromones, xanthines, OS
Zuidgeest et al. [43]Prescription data (GP)Netherlands200174,5800–<187.5ß2-mim,ICS, cromones, LTRA

Study drugs: ß2-mim ß2-mimetics, ICS inhaled corticosteroids, LTRA leukotriene receptor antagonists, ACH anticholinergics, ATC R03 drugs for obstructive airway diseases, OS oral steroids, OA oral adrenergics

Type of data: NHS national health service, NPD Norwegian Prescription Database, GHC Group Health Cooperative of Puget Sound, MEPS Medical Expenditur Panel Survey, IL Ingenix LabRx, IADB InterAction DataBase

Overview of studies that have investigated the prevalence of asthma-related drug use in children Study drugs: ß2-mim ß2-mimetics, ICS inhaled corticosteroids, LTRA leukotriene receptor antagonists, ACH anticholinergics, ATC R03 drugs for obstructive airway diseases, OS oral steroids, OA oral adrenergics Type of data: NHS national health service, NPD Norwegian Prescription Database, GHC Group Health Cooperative of Puget Sound, MEPS Medical Expenditur Panel Survey, IL Ingenix LabRx, IADB InterAction DataBase According to the Global Initiative for Asthma (GINA), bronchodilators, (inhaled short-acting ß2-mimetics, SABA; long-acting ß2-mimetics, LABA; anticholinergics, ACH), inhaled corticosteroids (ICS), and alternative (add-on) treatments such as leukotriene receptor antagonists (LTRA), xanthines and anti-allergics (cromones) all have a place in the treatment of childhood asthma, although at various stages depending on severity of illness [35]. In pediatrics, asthma is one of the main indications for which these drugs are used. Apart from these respiratory drugs, systemic glucocorticoids are also used in the treatment of asthma. However, due to side effects such as potential adrenal suppression and growth impairment with long-term use [33, 35], use of systemic glucocorticoids in asthmatic children is restricted to asthma exacerbations and very severe persistent asthma [35]. Use of asthma drugs varies largely between countries as observed from the literature (Table 1). Part of this variability may be explained by differences in age distribution and type of data (i.e., surveys, prescriptions, dispensing), which hampers good comparisons between studies. To better explore differences in prescription rates of asthma drug use between countries, we conducted a retrospective cohort study in three European countries: the Netherlands, Italy, and UK, using the same methodology and stratifying by age, sex, and asthma diagnosis.

Methods

Data collection

Data were obtained from general practice medical record databases in three countries according to a common protocol. Databases were the Pedianet database in Italy [25], the Integrated Primary Care Information (IPCI) database in the Netherlands [39], and the Mediplus Disease Analyzer-Mediplus database (IMS-DA) in the UK [42]. Details are described elsewhere [32]. Primary care in children is provided by the general practitioner (GP) in the UK and the Netherlands, and by a family pediatrician in Italy. These primary care medical record databases were chosen because they contain detailed information on the population, diagnoses, and prescriptions. The geographic location of the databases allowed us to study North and South European differences in drug prescribing.

Study population

The study population consisted of all children aged 0–18 years (0–11 years in Italy) during the study period 1 January 2000 until 31 December 2005 (1 January 2001 until 31 December 2005 for Italy).All persons needed to have a database history of ≥6 months, except for children born during the study period. For each child, the person-years of follow-up were calculated, stratified by calendar year, age group, sex, and asthma diagnosis. For privacy issues, some databases only contain the year of birth, therefore age was assessed at the 1st of January of each year, and in order to identify infants, preschoolers, and adolescents separately. We used modified the International Conference of Harmonization age categories to stratify by age (<2, ≥2–≤4, 5–11, and ≥12 years of age) [17]. Each child was followed from the start of the study until the patient left practice or end of the study period (whichever was earliest).

Assessment of asthma

For each child, we assessed whether a diagnosis of asthma was made at anytime in its medical records using the following diagnostic codes: ICPC code R96 in IPCI, International Classification of Diseases (ICD)-9 code 493 in Pedianet and ICD-10 code J45 in IMS and free text [22, 36, 37]. If at any time during the follow-up asthma was diagnosed, the child was considered asthmatic for the entire period.

Classification of prescriptions

Drug prescriptions were categorized based on the World Health Organization's Anatomical Therapeutic Chemical (ATC) classification system [41]. All prescriptions for “obstructive airway diseases” (ATC R03) and “glucocorticosteroids for systemic use” (ATC H02AB) were obtained from the prescription files and further categorized into: ß2-mimetics (either short-acting [SABA] or long-acting [LABA]), inhalation glucocorticosteroids, inhalation anticholinergics, fixed combination of SABA + short-acting anticholinergics, fixed combination of LABA + inhalation glucocorticosteroids, anti-allergic agents (best known as cromones), xanthines, and leukotriene receptor antagonists. Use of ß2-mimetics + ICS was classified as a non-fixed combination if the child used ß2-mimetics and an ICS in the same year. For each drug class, we calculated prevalence rates for the most frequently prescribed drugs (top three) by country. Due to differences in labeling status between countries, off-label use was assessed per country. A drug was classified as being “off-label” if the child receiving the prescription had an age below the minimum age as specified in the summary product characteristics (SPC) or the drug was given for a different indication than specified in the SPC. This is in line with the new definition of pediatric off-label use provided by the Task Force in Europe for Drug development for Young [26].

Statistical analysis

Annual prevalence rates (per 1,000 PY or per 100 PY) of asthma drug use were calculated by counting the number of children using each drug or drug class by calendar year, age, sex, asthma status, and country and dividing this number by the number of person-years attributed by the different strata. User prevalence rates can be interpreted as the number of children per 1,000 children that uses a specific drug (class) during 1 year. If expressed per 100 PY it can be freely translated as the percentage of children using these drugs in 1 year. The fact that we used annual prevalence rates means that a child who uses one drug (class) multiple times in 1 year, will be counted only once for that year. The use of person-years rather than persons in the denominator was necessary due to the dynamic nature of the cohort where persons could have variables durations of follow-up. Differences in prescription rates between countries were tested by means of the X 2-test.

Results

Patient characteristics

Our population consisted of 671,831 children (66% UK, 19% IT, 15% NL) of whom 49,442 (7.4%) had asthma at any point during follow-up (Table 2).
Table 2

Population size by country, age, sex, and asthma diagnosis

Patient characteristicsNLItalya UKTotal
Children with asthmaTotal populationChildren with asthmaTotal populationChildren with asthmaTotal populationChildren with asthma
No.b (% of total)No.b (% of total)No.b (% of total)No.b (% of total)
Age
 <2 years2,165 (8.4)25,6942,539 (4.6)54,9992,977 (3.8)79,2467,681 (5.7)
 ≥2–≤4 years2,820 (11.8)23,9024,269 (7.3)58,7357,610 (7.5)101,83514,699 (8.0)
 5–≤11 years5,545 (11.7)47,4355,399 (7.5)72,26419,856 (12.8)155,48830,800 (11.2)
 12–≤18 years3,689 (8.3)44,63619,809 (13.3)149,09323,498 (12.1)
Sex
 Females3,940 (7.9)49,7092,851 (4.7)60,08914,377 (6.5)219,66921,167 (6.4)
 Males5,419 (10.5)51,8504,730 (7.2)65,36118,125 (8.1)225,15328,274 (8.3)
Total9,359 (9.2)101,5597,581 (6.0)125,45032,502 (7.9)444,82249,442 (7.4)

PY person-years

aFor Italy the age range included only 0–11 years for the years 2001–2005

bThe number of children in the various age groups does not add up to the total since one child can contribute to more than one age category during the study period

Population size by country, age, sex, and asthma diagnosis PY person-years aFor Italy the age range included only 0–11 years for the years 2001–2005 bThe number of children in the various age groups does not add up to the total since one child can contribute to more than one age category during the study period

Asthma drug classes

The user prevalence rate of any asthma drug was highest in young children and decreased with age (Figs. 1 and 2), it was highest in Italy for each age category. The difference between NL, the UK, and IT is largest for the youngest age categories with user prevalence rates of 25–30/100 PY in Italy, rates of 12 in the UK, and 10/100 PY in NL (Figs. 3 and 4). In the youngest age groups, prescription rates were higher for boys. This pattern switched in adolescence (between the ages 14 to 16), where user prevalence rates for almost all drug classes were higher in girls (Fig. 1).
Fig. 1

Age, country, and sex specific user prevalence rates of asthma drugs (all ATC R03)

Fig. 2

Annual user prevalence rates of the most frequently prescribed respiratory drugs

Fig. 3

Prevalence of respiratory drug use by age category and country in children with asthma

Fig. 4

Prevalence of respiratory drug use by age category and country in children without asthma

Age, country, and sex specific user prevalence rates of asthma drugs (all ATC R03) Annual user prevalence rates of the most frequently prescribed respiratory drugs Prevalence of respiratory drug use by age category and country in children with asthma Prevalence of respiratory drug use by age category and country in children without asthma ß2-mimetics and ICS were each used by one to ten children per 100 PY in all age categories in each country (Fig. 2). In Italy, prevalence of use of ICS was higher than use of ß2-mimetics and even exceeded 10/100 PY in the youngest age group. The fixed combinations of anticholinergics + SABA were frequently used in the Netherlands and Italy but not in the UK, where mostly anticholinergics were used as single compound. Leukotriene receptor antagonists, anti-allergics, and xanthines were used by less than one child per 100 PY in each country and each age category, which is in concordance with protocols concerning asthma treatment. Fixed combinations of ICS + LABA were infrequently used in young children but exceeded 1/100 PY in adolescents in the Netherlands. Systemic use of steroids was very heterogeneous between countries. User rates exceeding 10/100 PY were observed in Italy, especially in the youngest children, whereas user rates were five- to eightfolds lower in the UK and almost 20-fold lower in the Netherlands.

User prevalence rates for individual drugs

The prevalence of SABA use in children with asthma was similar in the Netherlands and Italy but much higher in the UK (30 vs. 60/100 PY). In children without asthma diagnosis, the prevalence was between one and eight per 100 PY. The most frequently prescribed SABAs were salbutamol and terbutaline in NL and the UK, whereas terbutaline was not frequently used in Italy (Table 3). User rates of LABA (this can be combined or single use) were very low (<1/100 PY), but strongly increased with age in children with asthma. Most frequently used drugs were salmeterol and formoterol. In children without asthma, use of LABA was negligible (Table 3 and Fig. 3). Single use of ß2-mimetics (without a prescription for ICS in the same year) was highest in the UK (195/1,000 PY in children with asthma and 23 in children without). In NL and IT prevalence rates were 127 and 75/1000 PY in children with asthma and 12 and 18/1000 PY in children without an asthma diagnosis. In both countries prevalence rates decreased gradually with increasing age.
Table 3

Prevalence of respiratory drug use per country by treatment class and asthma diagnosis

NetherlandsItalyUK
AsthmaNo asthmaAsthmaNo asthmaAsthmaNo asthma
SABA
Salbutamol27619Salbutamol28359Salbutamol51932
Terbutaline392Terbutaline1.40.1Terbutaline882.8
Overall293172845959635
LABA
Salmeterol140.4Salmeterol130.5Salmeterol400.6
Formoterol7.60.2Formoterol1.60.1Formoterol2.50.02
Overall210.6150.6420.6
ICS
Fluticasone1628Beclomethasone23998Beclomethasone31311
Budesonide684Fluticasone12210Budesonide721.9
Beclomethasone502Flunisolide7632Fluticasone631.5
Overall2711440414343714
LTRA
Montelukast5.50.1Montelukast371.7Montelukast150.3
Zafirlukast0.00.0Zafirlukast0.20.02
Overall5.50.1381.7150.3
Short-acting anticholinergics
Ipratropium bromide15.71.6Ipratropium6.22.4Ipratropium9.12.7
Oxitropium0.30.1Oxitropium0.040
Overall161.66.42.59.12.7
ß2-agonists + ICS (non-fixed)*
17752174240412
SABA + SACH (fixed)
Fenoterol + Ipratropium194.1Salbutamol + Ipratropium10425Salbutamol + Ipratropium0.70.06
Salbutamol + Ipratropium0.90.9Fenoterol + Ipratropium0.10.0Fenoterol + Ipratropium0.050
Overall204.4104250.070
LABA + ICS (fixed)
Salmeterol + Fluticasone331.3Salmeterol + Fluticasone371.3Salmeterol + Fluticasone310.5
Formoterol + Budesonide6.80.3Formoterol + Budesonide2.10.1Formoterol + Budesonide6.10.07
Overall602.3381.4370.6

Asthma prevalence in children with asthma, no asthma prevalence in children without asthma, SABA short-acting ß2-mimetics, LABA long-acting ß2-mimetics, ICS inhalation corticosteroids, LTRA leukotriene receptor antagonists, ß2-agonists + ICS (non-fixed) non-fixed combination of ß2-mimetics + inhalation corticosteroids, SABA + SACH (fixed) fixed combination of short-acting ß2-mimetics + short-acting anticholinergics, LABA + ICS (fixed) fixed combination of long-acting ß2-mimetics + inhalation corticosteroids

*Could either be the combination of LABA + ICS 1or SABA + ICS but always a loose combination (more than one device)

Prevalence of respiratory drug use per country by treatment class and asthma diagnosis Asthma prevalence in children with asthma, no asthma prevalence in children without asthma, SABA short-acting ß2-mimetics, LABA long-acting ß2-mimetics, ICS inhalation corticosteroids, LTRA leukotriene receptor antagonists, ß2-agonists + ICS (non-fixed) non-fixed combination of ß2-mimetics + inhalation corticosteroids, SABA + SACH (fixed) fixed combination of short-acting ß2-mimetics + short-acting anticholinergics, LABA + ICS (fixed) fixed combination of long-acting ß2-mimetics + inhalation corticosteroids *Could either be the combination of LABA + ICS 1or SABA + ICS but always a loose combination (more than one device) ICS were most frequently prescribed in Italy, especially in children <2 years of age. In children with asthma, ICS use was highest in the UK. The choice of drug differed; fluticasone was most often prescribed in NL and beclomethasone in the UK and Italy. Among the children with asthma who used ß2-mimetics, 42% were not prescribed ICS in that year in NL, 26% in Italy, and 33% in the UK. In children without asthma, ICS use was low in NL and the UK but reached rates of more than 10/100 PY in Italy. Oral corticosteroid use was highest in Italy, with prescription rates of 26/100 PY in children with asthma and 7/100 PY in children without asthma. Rates were especially high in the younger age categories. In the other countries, prescription rates in children with asthma were much lower in each age category, both in children with and without asthma. The most frequently prescribed drugs were betamethasone in Italy and prednisolone in NL and the UK.

Combination preparations

Use of the fixed combinations of short-acting SABA + ACH was low overall, but most frequent in Italy. Prescription rates decreased with age. For the fixed combinations of ICS + LABA, use was highest in NL with six per 100 PY in children with asthma. A clear increase of prescription rates with age was seen in all three countries. Use of the loose combination of ß2-mimetics + ICS was highest in IT (55/1,000 PY), followed by the UK (48/1,000 PY) and NL (24/1,000 PY). In children with asthma prevalence rates were highest in the UK (404/1,000 PY), followed by IT (217) and NL (177)

Off-label use

Off-label use defined by use below the minimum age as specified in the SPC was investigated in Italy and NL. In Italy, salbutamol is indicated for use in children from the age of 18 months onwards, however user rates were 22.7/100 PY in children with asthma and 7.5 in children without asthma diagnosis below 18 months. In NL, off-label use was observed for the fixed combinations of ß2-mimetics + anticholinergics. The minimum age for use of these drugs is 6 years in NL, however, prescription rates in children <6 years were 0.5–3.5/100 PY in NL (data not shown). Off-label use defined as use for other indications than specified in the SPC (for drugs that only had asthma or COPD as indication) in children without recorded asthma diagnosis was observed in all three countries for several drugs (Table 4). In Italy, budesonide had the highest off-label prescription rate; in NL, salbutamol; and in the UK, beclomathesone.
Table 4

Off-label use defined as use for other indications than specified in the Summary of Product Characteristics

NetherlandsItalyUK
DrugPercentage off-labela Prescription rateb DrugPercentage off-labela Prescription rateb drugPercentage off-labela Prescription rateb
Salbutamol32.815Budesonide80.014.8Terbutaline23.52.7
Terbutaline30.72.1Salmeterol + Fluticasone31.61.3Salmeterol12.10.6
Salmeterol19.00.4Formoterol + Budesonide29.10.1Beclomethasone25.811
Formoterol16.40.2Cromoglicic acid51.30.3Budesonide21.01.9
Beclomethasone27.22.3Nedocromil54.52.1Fluticasone18.71.5
Fenoterol + Ipratropium63.04.1Montelukast36.11.7Ipratropium74.22.7
Salbutamol + Ipratropium72.50.3Salbutamol + Ipratropium45.50.1
Salmeterol + Fluticasone24.41.3Formoterol + Budesonide10.80.1
Formoterol + Budesonide28.40.3Cromoglicic acid34.70.2
Cromoglicic acid26.30.1
Montelukast16.00.1

All study drugs were checked for off-label status

Only those with off-label use are listed in the table

E.g., 80% of the children receiving Budesonide in Italy do not have a diagnosis of asthma

aThe percentage of off-label use of the specific drug

bThe prescription rate of the drug/1,000 PY in children without asthma

Off-label use defined as use for other indications than specified in the Summary of Product Characteristics All study drugs were checked for off-label status Only those with off-label use are listed in the table E.g., 80% of the children receiving Budesonide in Italy do not have a diagnosis of asthma aThe percentage of off-label use of the specific drug bThe prescription rate of the drug/1,000 PY in children without asthma

Discussion

This paper provides detailed information on asthma drug use in three European countries, and clearly demonstrates the similarities and differences in prescription rates. Whereas short-acting ß2-mimetics are the most frequently used drugs for treatment of asthma in the Netherlands and the UK, inhaled and systemic corticosteroids are most frequently used in Italy, especially in the youngest age groups. Long-acting products, anticholinergics, xanthines, and LTRAs were, in general, infrequently prescribed in all countries. Our data are in line with previous studies on asthma drug use in children, which also demonstrated that short-acting ß2-mimetics and inhaled corticosteroids were prescribed most, but these studies often considered only one country or a region [14, 15], whereas our study captures multiple countries in different European regions. Our data also confirm findings of a recent survey showing high use of inhaled ß2-mimetics in northern Europe and high usage of corticosteroids in southern Europe [4]. The north south gradient that we observed in the prescription of asthma drugs cannot be explained by country specific differences in asthma treatment protocols, as the protocols in the Netherlands; the UK and Italy are all based on the GINA guidelines. There are various prescribing behaviors which deserve specific attention since they may be associated with a differential risk of adverse drug reactions. First of all, SABA use is high in the lower age categories which may at least partly be explained by the fact that they are recommended on an as-needed basis for acute wheezing in preschool children [7]. However, paradoxical responses like deterioration of asthma with use of these drugs have been reported in infants [34]. Secondly, prescription rates for long-acting ß2-mimetics were low for all three countries, which is in line with guidelines and recommendable since a black box warning was issued by the FDA due to safety issues in children, especially in mono-use [13]. Thirdly, in children with asthma, the percentage of children using β2-mimetics without ICS as controller was substantial, especially in the UK and Netherlands. A possible explanation could be that these children were intermittently treated with SABAs on an as-needed basis as defined in the first step of the guidelines [35]. However, chronic use of ß2-mimetics without ICS is contraindicated in children with asthma because it may lead to increased airway inflammation and worsening of asthma control, and is in severe cases even associated with death [23, 29]. Fourth, use of ICS was very high in children under the age of five in Italy; this level of use certainly raises a question about potential overprescription, especially in children without asthma. However, a recent survey among children 1–5 years of age showed that southern Europe had the highest rate of wheezing symptoms (48%) compared with northern Europe (29%), which may explain some of the high use of ICS [4]. Although there is some evidence supporting the effectiveness of regular inhaled corticosteroids in preschool wheeze [5] its use remains controversial [7, 19]. Long-term use of steroids (inhaled and specifically oral) might cause side effects such as temporary growth retardation and adrenal suppression [1, 35]. Less severe but more frequent and relevant side effects in children treated with ICS are oropharyngeal candidiasis, dysphonia, reflex cough, and pharyngitis [8]. Fifth, systemic corticosteroids are not the first choice of treatment in asthma and should only be used for exacerbations. A recent study showed that oral prednisolon and placebo did not differ in duration of hospitalization in children with mild to moderate wheezing associated with a viral infection [28]. Although the high use of oral steroids in Italy is consistent with previous study findings [2, 10, 35], it may be slightly overestimated. Betamethasone (dispensed as capsules) is often administered via a nebulizer, meaning that the actual oral use will be lower than reported, unfortunately we could not distinguish between these modes of administration. Fixed combination therapies of an ICS + LABA are relatively new in the treatment of childhood asthma and their long-term safety is not well known. Use was highest in NL, similar to a recently reported increase in use of the fixed combination of ICS + LABA in Denmark [3]. Although fixed combination products of ICS + LABA are only licensed for use in children over 4 years, these drugs were also prescribed to children <2 years in the Netherlands. We found only one small retrospective study investigating the effect of a fixed combination of ICS + LABA in children <4 years, reporting a reduction in morbidity and an acceptable safety profile [30]. So far, the safety and efficacy data of the fixed combination of ICS + LABA in children <2 years is too scarce to justify prescribing these drugs in young children. In general, off-label use of asthma drugs defined as use below the minimum age as reported in the SPCs was low except for the fixed combination of ß2-mimetics + anticholinergics in children <6 years in the Netherlands and the use of SABA in children <18 months in Italy. Prescription rates for asthma drugs in children without an asthma diagnosis are much lower than in children diagnosed with asthma but still surprisingly high, especially for ICS, and SABA. These drugs may have been used to treat wheezy young children with other respiratory conditions, such as respiratory tract infections (e.g., bronchiolitis) or first symptoms of undiagnosed asthma in young preschool children, but still, overuse cannot be excluded. Use of asthma drugs is high, although very few long-term safety studies are available for children. The Pediatric Committee of the European Medicines Agency has recently published a pediatric needs list, containing drugs that are being used in children and where information on pharmacokinetics, efficacy, and safety is urgently needed [24]. This list includes frequently used respiratory drugs such as salbutamol, fluticasone, montelukast, and many others. Although randomized controlled trial (RCTs) are the gold standard for efficacy assessment, safety studies are more effectively conducted through large-scale postmarketing observational studies [31]. Clinical trials are often small and too short for safety assessment. Pharmacoepidemiological studies are a valid tool for assessing safety under real-life circumstances and often rely on secondary use of routine care data from claims databases and medical records. This study, as well as a previous inventory on databases with pediatric data, shows that exposure and outcome information is available on a large pediatric population [27, 32]. Pharmacoepidemiological studies should be promoted to improve the safety assessment of pediatric drugs since RCTs are hampered by methodological difficulties, especially in the pediatric subpopulation, and consequently, results may not be prompt and sufficient enough for safety assessment. As for all observational research, our data has some limitations. First of all, as we used primary care data, we may not capture all specialist prescriptions in the UK and the Netherlands. This will minimally influence our results since asthma is a condition often dealt with in primary care, and asthma drugs originally prescribed by a specialist are often continued or prescribed by general practitioners [38]. Also, the health care provider in the studied countries differed: GP data from the UK and NL and family pediatrician data from IT. However, we do not believe that this would hinder comparability between databases as the nature of the databases is the same. If there are differences between countries, this reflects differences in primary care prescribing behavior and not in the type of data. Furthermore, it is not possible to diagnose asthma in young preschool children and the diagnosis of asthma is often made at a later age, which could lead to misclassification of the indication in young children. However, to minimize the possibility of misclassification, we searched the entire medical record of a child for the diagnosis of asthma. If the diagnosis was made at a later age, the child was counted as having asthma during the whole study period. To conclude, our results show high use of SABA and ICS, although not always combined, and low use of other asthma drugs. Safety data on specific asthma drugs are needed according to the European Medicines Agency [24]. This study underlines the potency of healthcare databases in rapidly providing data on pediatric drug use and possibly safety.
  30 in total

1.  Active monitoring of adverse drug reactions in children. Italian Paediatric Pharmacosurveillance Multicenter Group.

Authors:  G Menniti-Ippolito; R Raschetti; R Da Cas; C Giaquinto; L Cantarutti
Journal:  Lancet       Date:  2000-05-06       Impact factor: 79.321

2.  Meta-analysis: respiratory tolerance to regular beta2-agonist use in patients with asthma.

Authors:  Shelley R Salpeter; Thomas M Ormiston; Edwin E Salpeter
Journal:  Ann Intern Med       Date:  2004-05-18       Impact factor: 25.391

3.  The gap between evidence-based medicine and daily practice in the management of paediatric asthma. A pharmacy-based population study from The Netherlands.

Authors:  Tjalling W de Vries; Hilde Tobi; Eric Schirm; Paul van den Berg; Eric J Duiverman; Lolkje T W de Jong-van den Berg
Journal:  Eur J Clin Pharmacol       Date:  2005-12-20       Impact factor: 2.953

4.  Long-acting beta2 agonists and paediatric asthma.

Authors:  Hans Bisgaard; Stan Szefler
Journal:  Lancet       Date:  2006-01-28       Impact factor: 79.321

5.  Oral prednisolone for preschool children with acute virus-induced wheezing.

Authors:  Jayachandran Panickar; Monica Lakhanpaul; Paul C Lambert; Priti Kenia; Terence Stephenson; Alan Smyth; Jonathan Grigg
Journal:  N Engl J Med       Date:  2009-01-22       Impact factor: 91.245

Review 6.  Glucocorticoid therapy for asthma: clinical pharmacology.

Authors:  S J Szefler
Journal:  J Allergy Clin Immunol       Date:  1991-08       Impact factor: 10.793

7.  Asthma medication use in school-aged children.

Authors:  Li Yan Wang; Yuna Zhong; Lani Wheeler
Journal:  J Asthma       Date:  2006-09       Impact factor: 2.515

Review 8.  The beta-agonist controversy.

Authors:  D R Taylor; M R Sears; D W Cockcroft
Journal:  Med Clin North Am       Date:  1996-07       Impact factor: 5.456

9.  Drug utilisation profile in the Italian paediatric population.

Authors:  Antonio Clavenna; Alessandra Berti; Lucia Gualandi; Elisa Rossi; Marisa De Rosa; Maurizio Bonati
Journal:  Eur J Pediatr       Date:  2008-04-30       Impact factor: 3.183

10.  Drug use in children: cohort study in three European countries.

Authors:  Miriam C J M Sturkenboom; Katia M C Verhamme; Alfredo Nicolosi; Macey L Murray; Antje Neubert; Daan Caudri; Gino Picelli; Elif Fatma Sen; Carlo Giaquinto; Luigi Cantarutti; Paola Baiardi; Maria-Grazia Felisi; Adriana Ceci; Ian C K Wong
Journal:  BMJ       Date:  2008-11-24
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  16 in total

Review 1.  Use of off-label and unlicenced drugs in hospitalised paediatric patients: a systematic review.

Authors:  Joana Magalhães; António Teixeira Rodrigues; Fátima Roque; Adolfo Figueiras; Amílcar Falcão; Maria Teresa Herdeiro
Journal:  Eur J Clin Pharmacol       Date:  2014-10-16       Impact factor: 2.953

2.  In Italy anti-asthmatic drug prescription is not always a reliable proxy of asthma.

Authors:  Marina Bianchi; Antonio Clavenna; Daniele Piovani; Maurizio Bonati
Journal:  Eur J Epidemiol       Date:  2016-04-23       Impact factor: 8.082

3.  Idiopathic acute liver injury in paediatric outpatients: incidence and signal detection in two European countries.

Authors:  Carmen Ferrajolo; Katia M C Verhamme; Gianluca Trifirò; Geert W 't Jong; Carlo Giaquinto; Gino Picelli; Alessandro Oteri; Sandra de Bie; Vera E Valkhoff; Martijn J Schuemie; Giampiero Mazzaglia; Claudio Cricelli; Francesco Rossi; Annalisa Capuano; Miriam C J M Sturkenboom
Journal:  Drug Saf       Date:  2013-10       Impact factor: 5.606

4.  Antibiotic and anti-asthmatic drug prescriptions in Italy: geographic patterns and socio-economic determinants at the district level.

Authors:  Daniele Piovani; Antonio Clavenna; Massimo Cartabia; Maurizio Bonati
Journal:  Eur J Clin Pharmacol       Date:  2013-12-06       Impact factor: 2.953

5.  Ketotifen-induced nocturnal bruxism.

Authors:  Domenico Italiano; Placido Bramanti; David Militi; Stefania Mondello; Rocco Salvatore Calabro
Journal:  Eur J Pediatr       Date:  2013-08-16       Impact factor: 3.183

6.  Initial step-up treatment changes in asthmatic children already prescribed inhaled corticosteroids: a historical cohort study.

Authors:  Steve W Turner; Kathryn Richardson; Annie Burden; Mike Thomas; Clare Murray; David Price
Journal:  NPJ Prim Care Respir Med       Date:  2015-06-11       Impact factor: 2.871

7.  Drug use profile in outpatient children and adolescents in different Italian regions.

Authors:  Daniele Piovani; Antonio Clavenna; Maurizio Bonati
Journal:  BMC Pediatr       Date:  2013-04-04       Impact factor: 2.125

8.  Off-label prescribing for allergic diseases in children.

Authors:  Diana Silva; Ignacio Ansotegui; Mário Morais-Almeida
Journal:  World Allergy Organ J       Date:  2014-02-14       Impact factor: 4.084

9.  An inventory of European data sources for the long-term safety evaluation of methylphenidate.

Authors:  Macey L Murray; Suppachai Insuk; Tobias Banaschewski; Antje C Neubert; Suzanne McCarthy; Jan K Buitelaar; David Coghill; Ralf W Dittmann; Kerstin Konrad; Pietro Panei; Eric Rosenthal; Edmund J Sonuga-Barke; Ian C K Wong
Journal:  Eur Child Adolesc Psychiatry       Date:  2013-03-19       Impact factor: 4.785

10.  Asthma prevalence and risk factors among children and adolescents living around an industrial area: a cross-sectional study.

Authors:  Giancarlo Ripabelli; Manuela Tamburro; Michela Lucia Sammarco; Guglielmo de Laurentiis; Andrea Bianco
Journal:  BMC Public Health       Date:  2013-11-04       Impact factor: 3.295

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