Literature DB >> 22935298

Control of Allergic Rhinitis and Asthma Test (CARAT) can be used to assess individual patients over time.

Joao A Fonseca1, Luis Nogueira-Silva, Mario Morais-Almeida, Ana Sa-Sousa, Luis F Azevedo, Jose Ferreira, Manuel Branco-Ferreira, Rodrigo Rodrigues-Alves, Antonio Bugalho-Almeida, Jean Bousquet.   

Abstract

BACKGROUND: The Control of Allergic Rhinitis and Asthma Test (CARAT10) has been proposed as the first tool to implement the Allergic Rhinitis and its Impact on Asthma initiative guidelines in clinical practice. To serve this purpose, it must have adequate properties to assess the control of an individual over time. This study aimed to prospectively assess the test-retest reliability, responsiveness and longitudinal validity of CARAT10.
METHODS: Adults with asthma and allergic rhinitis were enrolled at 4 outpatient clinics of Portuguese central hospitals. At each of the two visits, 4 to 6 weeks apart, patients filled out CARAT10 and additional questionnaires, followed by a medical evaluation blinded to the questionnaires' answers.
RESULTS: From the 62 patients included, 51 patients completely filled out CARAT10 at both visits. The test-retest reliability, computed as an intra-class correlation coefficient, was 0.82. Regarding responsiveness, a significant change (p = 0.002) of CARAT10 score in clinically unstable patients was observed (95%CI -5.08; -1.31) and the Guyatt's responsiveness index was 1.54. As for the longitudinal validity assessment, the correlation coefficients of the changes of CARAT10 scores with those of ACQ5 and symptoms VAS ranged from 0.49 to 0.65, while with the physician assessment of control they ranged from 0.31 to 0.41.
CONCLUSION: CARAT10 has good test-retest reliability, responsiveness and longitudinal validity. It can be used to assess control of allergic rhinitis and asthma, both to compare groups in clinical studies and to evaluate individual patients in clinical practice.

Entities:  

Year:  2012        PMID: 22935298      PMCID: PMC3520832          DOI: 10.1186/2045-7022-2-16

Source DB:  PubMed          Journal:  Clin Transl Allergy        ISSN: 2045-7022            Impact factor:   5.871


Introduction

Rhinitis and asthma are highly prevalent diseases that are closely associated. A few questionnaires have been developed and validated to assess the control of rhinitis [1,2] and asthma [3,4]. For over a decade, the Allergic Rhinitis and its Impact on Asthma (ARIA) initiative has recommended the simultaneous assessment and management of these diseases [5,6]. Recent observational studies reinforced the association of rhinitis and asthma. In a cross-sectional study of asthma patients from 85 primary care practices in the United Kingdom, self-reported rhinitis was identified as a major predictor of poor asthma control [7]. Also, data from the West Sweden Asthma Study linked the degree of rhinitis with the risk of having multi-symptom asthma [8]. We have previously developed the Control of Allergic Rhinitis and Asthma Test – a 17-item version [9] – employing a formal methodological approach to ensure its quality and content validity [10]. Subsequently, we conducted a cross-sectional study, in which we performed factor analysis to reduce the questionnaire and assess its unidimensionality, resulting in a simple 10-item version (CARAT10) [11]. In that study, we described how 2 independent factors were extracted from the reduced version, matching the initial theoretical subdomains of asthma and allergic rhinitis. Nevertheless, we demonstrated that CARAT10 has good internal consistency, similar to that of widely used asthma control questionnaires, thus supporting the concept of assessing allergic rhinitis and asthma simultaneously (construct/structural validity). Finally, we also showed that CARAT10 has good discriminative properties and concurrent validity [11]. CARAT10 has been proposed as the first tool to implement ARIA guidelines in clinical practice [12]. To serve this purpose, such tool must have adequate properties to assess asthma and allergic rhinitis control of an individual over time. Thus, this study aimed to prospectively assess the test-retest reliability, responsiveness and longitudinal validity of CARAT10.

Methods

Study design and setting

This prospective observational study comprised two visits, 4 to 6 weeks apart, and was conducted in the first semester of 2009. Patients were enrolled in 4 allergy outpatient clinics of central hospitals in three Portuguese regions – north (Porto and Gaia), south (Lisbon) and the Azores islands (Ponta Delgada). The study was approved by the Hospital S. João review board (Comissão de Ética para a Saúde) and was given the project nº 120/08. Each patient gave his/her written informed consent.

Participants

All patients between 18 and 70 years of age, with a medical diagnosis of asthma and allergic rhinitis and at least 6 months of follow-up at the clinic were eligible. Only patients unable to fill the questionnaire were excluded.

Data collection

At each visit, patients were asked to fill CARAT10 and additional tools: the Asthma Control Questionnaire (ACQ5) [3] and three visual analogue scales (VAS) concerning all airways symptoms, bronchial/pulmonary symptoms and nasal symptoms as measures of self-perceived control. They also underwent lung function tests followed by a medical evaluation. The study design is described in the Additional file 1: Figure S1. Lung function and exhaled nitric oxide (FeNO50) were measured according to the 2005 ATS/ERS position statements [13,14]. Lung function variables included the forced vital capacity (FVC), the forced expiratory volume in 1 second (FEV1) and the peak expiratory flow (PEF). FeNO50 was evaluated only in two of the four centres and expressed as parts per billion (ppb). The medical evaluation was carried out by the attending allergy specialist, who was blinded to the questionnaires’ answers. The physician classified the patient’s rhinitis and asthma severity and rated the rhinitis and asthma control in two 10 cm VAS, according to his/her judgment and bearing in mind the classifications of ARIA [5] and Global Initiative for Asthma (GINA) [15]. The treatment decisions were made by the attending physician, based on the clinical history, physical examination and lung function following ARIA and GINA guidelines. In addition, known allergies and current medication, as well as the decision regarding treatment plan (increase, maintain or decrease treatment) were registered. In the second visit, the same procedures were repeated and, additionally, the physician filled out two 10 cm VAS regarding the variation in asthma control and in rhinitis control (from 0 - greatest worsening, to 10 - greatest improvement).

Statistical analysis

The statistical analysis was carried out using SPSS 19.0 (SPSS Inc., Chicago, IL, USA). The level of significance was set at p < 0.05. The population was described using standard descriptive statistical techniques. We derived dichotomous variables, classifying the patient as having controlled or not controlled asthma and controlled or not controlled rhinitis, from the physician’s control VAS. Patients were categorized as controlled if the physician filled out the VAS in the ]6,10]cm interval. Patients who were graded between 5.0 and 6.0 in the second visit’s control variation VAS were considered to be clinically stable [3]. We classified the patientsrhinitis severity according to the ARIA recommendations and the asthma control according to the GINA guidelines. The results from both visits were pooled and were plotted against the scores in CARAT10 and its factors.

Properties of CARAT10

The CARAT10 internal consistency analysis comprised the assessment of its internal consistency with Cronbach’s α. The test-retest reliability was assessed using intra-class correlation coefficient (ICC) in clinically stable patients between visits [16]. The concurrent validity was studied using Spearman’s correlation coefficients between CARAT10/CARAT factors and 1) control assessment instruments or 2) physician’s assessment. The responsiveness of CARAT10 was evaluated in the group of clinically unstable patients – those with either unstable asthma, unstable rhinitis, or both. We used a paired T-test to assess the within-patient change in the CARAT10 score. Moreover, the Guyatt’s responsiveness index (GRI) was calculated as [17,18]: The longitudinal validity was assessed by Spearman’s correlation coefficients calculated between the variation of the CARAT10 score and the variation of the other measures. For hypotheses testing, a priori predictions for the correlation coefficients were, based on previous studies as follows: (i) 0.6–0.8 with ACQ5; (ii) 0.6–0.8 with the symptoms VAS; (iii) 0.4–0.6 with the physician’s assessment [3,10].

Results

We included 62 patients; one patient did not attend the 2nd visit. Seven patients in the first visit and 3 in the second incompletely filled out CARAT10 (frequencies of unanswered questions in the Additional file 1: Table S1); 51 patients completely filled out the CARAT10 questionnaire in both visits. Table  1 summarizes the sample’s characteristics, physician assessment, lung function test results and scorings for the several questionnaires. Table  2 shows the CARAT10 scores according to the patients’ self-perceived control. Scores and subscores of CARAT10 in both visits, in patients with controlled and uncontrolled rhinitis and asthma, are presented in the Additional file 1: Table S2.
Table 1

– Sample’s characteristics and results of physician assessment, control questionnaires and lung function tests

 1st visit n = 622nd visit n = 61
Gender Female n (%)
37 (60)
36 (59)
Age mean (SD) years
39.6 (14.5)
39.8 (14.5)
Physician assessment n (%)
 
 
 Asthma severity
 
 
  Intermittent
12 (19)
7 (12)
  Mild persistent
21 (34)
16 (28)
  Moderate persistent
24 (39)
27 (48)
  Severe persistent
5 (8)
7 (12)
 Rhinitis classification
 
 
  Intermittent
15 (28)
16 (34)
  Persistent
38 (72)
31 (66)
  Mild
27 (51)
26 (58)
  Moderate/severe
26 (49)
19 (42)
 Control
 
 
  Both controlled
24 (39)
33 (59)
  Only asthma controlled
15 (24)
8 (14)
  Only rhinitis controlled
8 (13)
6 (11)
  Both uncontrolled
15 (24)
9 (16)
 Treatment decision
 
 
  Reduce
3 (5)
2 (4)
  Maintain
29 (47)
42 (75)
  Increase
30 (48)
12 (21)
ACQ5 score median (P25-P75)
1 (0.2-2.5)
0.8 (0-2.2)
  <0.5 n (%)
22 (35)
26 (42)
  0.5–1.5 n (%)
14 (23)
12 (20)
  >1.5 n (%)
26 (42)
23 (38)
VAS* median (P25-P75)
 
 
  All symptoms
5 (2-7)
4 (2-6.5)
  Bronchial/pulmonary symptoms
4 (2-7)
3 (2-6)
  Nasal symptoms
5.7 (3-8)
3 (2-7)
Lung function mean (sd)#
 
 
  FVC
102 (17.1)
100 (20.8)
  FEV1
92 (19.7)
90 (23)
  PEF
89 (25)
88 (26.7)
FeNO50ª30 (23.1)24 (21.7)

ACQ5 – Asthma control questionnaire (5-question); VAS – visual analogue scale; FVC – forced vital capacity; FEV1 – forced expiratory volume in 1 second; PEF – peak expiratory flow; FeNO50- fractional exhaled nitric oxide.

*1-10, 1 being no disturbance; # 1st visit n = 55; 2nd visit n = 53; ª 1st visit n = 23; 2nd visit n = 31.

Table 2

– Comparison of CARAT10 scores according to the patients’ self-perceived control

 
 
Controlled‡
Not controlled
Total
  mean (SD)[min-max]mean (SD)[min-max]mean (SD)[min-max]
1st visit
CARAT10 *
22 (4.93)
[11-29]
12.3 (5.91)
[3-24]
18 (7)
[3-29]
Rhinitis subscore #
7.5 (2.89)
[2-11]
3.1 (2.57)
[0-10]
5.2 (3.49)
[0-11]
Asthma subscore ª
14.9 (2.41)
[9-18]
8.3 (4.87)
[1-18]
12.7 (4.67)
[1-18]
2nd visit
CARAT10*
23.4 (5.12)
[10-30]
14.8 (7.61)
[4-27]
20.4 (7.32)
[4-30]
Rhinitis subscore #
8.3 (2.64)
[2-12]
4.5 (3.24)
[1-11]
7.2 (3.33)
[1-12]
 Asthma subscore ª15 (3.13)[6-18]8.8 (4.53)[3-17]13.4 (4.48)[3-18]

‡ The classification of self-preceived control was established with the patients’ all symptoms VAS for CARAT10, with the nasal symptoms VAS for the rhinitis subscore and with the bronchial/pulmonary symptoms VAS for the asthma subscore. * Range 0-30; # Range 0-12; ª Range 0-18.

– Sample’s characteristics and results of physician assessment, control questionnaires and lung function tests ACQ5 – Asthma control questionnaire (5-question); VAS – visual analogue scale; FVC – forced vital capacity; FEV1 – forced expiratory volume in 1 second; PEF – peak expiratory flow; FeNO50- fractional exhaled nitric oxide. *1-10, 1 being no disturbance; # 1st visit n = 55; 2nd visit n = 53; ª 1st visit n = 23; 2nd visit n = 31. – Comparison of CARAT10 scores according to the patients’ self-perceived control ‡ The classification of self-preceived control was established with the patients’ all symptoms VAS for CARAT10, with the nasal symptoms VAS for the rhinitis subscore and with the bronchial/pulmonary symptoms VAS for the asthma subscore. * Range 0-30; # Range 0-12; ª Range 0-18. Seventeen patients (28%) were classified as having clinically stable asthma and rhinitis. The unstable group included 30 patients with both unstable asthma and rhinitis, 9 only with unstable asthma and 5 only with unstable rhinitis. The plots of CARAT10 scores according to the guidelines’ classifications of rhinitis severity and asthma control are shown in Figure  1.
Figure 1

CARAT10 and its subscores plotted against the classifications of rhinitis severity and asthma control, according to ARIA recommendations and GINA guidelines.

CARAT10 and its subscores plotted against the classifications of rhinitis severity and asthma control, according to ARIA recommendations and GINA guidelines.

Properties of CARAT10

Regarding internal consistency, the Cronbach’s α was 0.84 for CARAT10, 0.76 for the rhinitis subscore and 0.80 for the asthma subscore. As for the test-retest reliability, an ICC of 0.82 was found in the stable group. Regarding concurrent validity, all the correlation coefficients between CARAT10/CARAT factors and 1) control assessment instruments or 2) physician’s assessment met the a priori predictions and were statistically significant with p < 0.001 (Table  3).
Table 3

– Spearman’s correlations of CARAT10 and its factors with external measures of rhinitis and asthma control in the first visit

 
 
Symptoms VAS
Physician assessment
 ACQ5All symptomsBronchial/pulmonary symptomsNasal symptomsAsthma controlRhinitis control
CARAT10
−0.79
−0.76
−0.75
−0.69
0.58
0.34*
Rhinitis subscore
−0.50
−0.59
−0.51
−0.70
0.35*
0.43
Asthma subscore−0.78−0.62−0.71−0.490.650.24#

The correlations between the measures of similar domains are shown in bold.

All correlations coefficients met the a priori predictions and were statistically significant with p < 0.001, except * p < 0.01 and # p = 0.073.

– Spearman’s correlations of CARAT10 and its factors with external measures of rhinitis and asthma control in the first visit The correlations between the measures of similar domains are shown in bold. All correlations coefficients met the a priori predictions and were statistically significant with p < 0.001, except * p < 0.01 and # p = 0.073. Concerning responsiveness, we observed a significant within-patient change of CARAT10 scoring in clinically unstable patients (95% confidence interval [-5.08; -1.31], p = 0.002). The Guyatt’s responsiveness index was 1.54. The correlation coefficients of the measurements variations between visits ranged from 0.49 to 0.65 for ACQ5 and the symptoms VAS, while for the physician assessment of control the coefficients ranged from 0.31 to 0.41. Several correlation coefficients of external measures and CARAT subscores were lower than the a priori predictions, but only one was below 0.4 [10]. These results are summarized in Table  4.
Table 4

– Longitudinal validity – comparison of the variation of CARAT10 with the variation of external measures of control

 
 
Symptoms VAS
Physician assessment
 ΔACQ5ΔAll symptomsΔBronchial/pulmonary symptomsΔNasal symptomsΔAsthma controlΔRhinitis control
ΔCARAT10
−0.63
−0.65
−0.52
−0.53
0.45*
0.31#
ΔRhinitis subscore
−0.51
−0.52
−0.53
−0.56
0.44*
0.41*
ΔAsthma subscore−0.55−0.60−0.49−0.28#0.31#0.24ª

The correlations between the measures of similar domains are shown in bold.

All correlations were statistically significant with p < 0.001, except * p < 0.01, # p < 0.05 and ª p = 0.09. ‡ did not meet the a priori predictions for the correlation coefficients: 1) 0.6–0.8 with ACQ5 and with the symptoms VAS; 2) 0.4–0.6 with the physician’s assessment.

– Longitudinal validity – comparison of the variation of CARAT10 with the variation of external measures of control The correlations between the measures of similar domains are shown in bold. All correlations were statistically significant with p < 0.001, except * p < 0.01, # p < 0.05 and ª p = 0.09. ‡ did not meet the a priori predictions for the correlation coefficients: 1) 0.6–0.8 with ACQ5 and with the symptoms VAS; 2) 0.4–0.6 with the physician’s assessment. Receiver operating characteristic (ROC) curves were plotted, comparing CARAT10’ scores (Figure  2) and subscores (Figure  3) with asthma and rhinitis assessment tools. The AUC for CARAT were between 0.941 and 0.948 for CARAT (Figure  2). Higher AUC were observed for the asthma factor (0.926-0.942) than for the rhinitis factor (0.682-0.893) (Figure  3).
Figure 2

Receiver operating characteristic curves and diagnostic test properties of CARAT10’ with composite score of (A) ACQ score and Nasal VAS, (B), GINA and ARIA criteria and (C) ACQ, GINA, Nasal VAS and ARIA.

Figure 3

Receiver operating characteristic curves and diagnostic test properties of CARAT10’ asthma factor with (A) ACQ score, (B) GINE criteria, and (C) a composite score of GINA and ACQ; and CARAT10’ rhinitis factor with (D) ARIA classification, (E) the nasal symptoms VAS and (F) a composite score of ARIA and the symptoms VAS.

Receiver operating characteristic curves and diagnostic test properties of CARAT10’ with composite score of (A) ACQ score and Nasal VAS, (B), GINA and ARIA criteria and (C) ACQ, GINA, Nasal VAS and ARIA. Receiver operating characteristic curves and diagnostic test properties of CARAT10’ asthma factor with (A) ACQ score, (B) GINE criteria, and (C) a composite score of GINA and ACQ; and CARAT10’ rhinitis factor with (D) ARIA classification, (E) the nasal symptoms VAS and (F) a composite score of ARIA and the symptoms VAS.

Discussion

The longitudinal assessment of the Control of Allergic Rhinitis and Asthma Test (CARAT10) showed that it has adequate properties to assess individual patients over time. This is the third phase of a project that aimed to develop and validate a tool to simultaneously assess the control of rhinitis and asthma. We have previously shown that CARAT10 has good internal consistency and internal validity, supporting the concept of a single questionnaire assessing allergic rhinitis and asthma simultaneously, and showing it may be used to compare groups [11]. We had observed good correlations between CARAT10 and ACQ5, symptoms VAS and the physician’s assessment of control, similar to that of other widely used control questionnaires for asthma. The new data confirmed our previous results. As for test-retest reliability, the ICC for CARAT10 scores between visits in stable patients was 0.82, better than the ICC previously reported for Asthma Control Test (ACT) (0.77) [19]. Also, the Guyatt’s responsiveness index observed is somewhat higher than that of ACQ7 (1.35) [3]. Regarding longitudinal validity, like ACT, CARAT10 correlates better with changes in ACQ than with the physician’s assessment; the correlation coefficient of CARAT10 with symptoms VAS was similar to the previously reported correlation of ACQ7 with asthma symptoms [3,19]. The correlation coefficient for changes between visits of CARAT10 with the all symptoms VAS met the a priori predictions (Table  4). The correlation coefficients of CARAT10 subscores with external measures of rhinitis and asthma status were lower than predicted. These subscores were defined using standard procedures of exploratory factor analysis in a previous study [11]. However, questions on waking up at night or increasing medication may be related to asthma and/or rhinitis in different patients. Therefore, a reassessment of CARAT10 structure in different populations seems to be necessary. In this multicenter longitudinal study, it was necessary to categorize patients as clinically stable or unstable between visits. The criterion was the physician’s rating of control variation between visits, since there is no gold standard for the measurement of control of allergic rhinitis and asthma. The intrinsic insufficiencies of physician rating [20] may undermine the results observed. However, the direction of this bias worsens the questionnaire’s properties. Therefore, the estimates for the evaluative and discriminative properties of CARAT10 are conservatively reported. CARAT10 has been thoroughly studied in cross-sectional and prospective studies and now meets almost all requirements of COSMIN - COnsensus-based Standards for the selection of health Measurement Instruments [21]. Further studies with larger datasets are needed to firmly establish the cut values for the CARAT10 global score and the rhinitis and asthma subscores [22]. The existing data seems to suggest that a CARAT10 score over 24 identifies controlled patients, with a rhinitis subscore over 8 and an asthma subscore equal or greater than 16. The availability of CARAT10 for clinical practice in multiple countries requires cross-cultural validation in other languages. A website to support an adequate process of translation was developed ( http://www.caratnetwork.org) and researchers are invited to participate. Cross-cultural adaptation of CARAT has started in over 10 different countries [23]. It was organized in 3 phases, following the Global Allergy and Asthma European Network (GA2LEN) network recommendations [24]: forward translation, backward translation and patient testing; clinical validation studies for these languages should follow. In summary, this study showed that CARAT10 has adequate test-retest reliability, responsiveness and longitudinal validity while confirming its high internal consistency and concurrent validity. Therefore, CARAT10 can be used both in clinical studies and in clinical practice, to compare groups and to evaluate individual patients over time.

Abbreviations

ACQ: Asthma control questionnaire; ACT: Asthma Control Test; ARIA: Allergic Rhinitis and its Impact on Asthma; CARAT10: Control of Allergic Rhinitis and Asthma Test; COSMIN: COnsensus-based Standards for the selection of health Measurement Instruments; FeNO50: Fraction of exhaled nitric oxide; FEV1: Forced expiratory volume in 1 second; FVC: Forced vital capacity; GA2LEN: Global Allergy and Asthma European Network; GINA: Global Initiative for Asthma; GRI: Guyatt’s responsiveness index; ICC: Intra-class correlation coefficient; PEF: Peak expiratory flow; ROC: Receiver operating characteristic; VAS: Visual analogue scales.

Competing interests

JAF declares he has been given honoraria for advisory boards and lectures during meetings from GSK, MSD and Novartis. MMA declares he has been given honoraria for advisory boards and lectures during meetings from GSK, MSD AZ, Faes-pharma and Novartis. JB declares he has been given honoraria for scientific and advisory boards, lectures during meetings and press conferences from Stallergènes, Actelion, Almirall, AstraZeneca, Chiesi, GSK, Merck, MSD, Novartis, OM Pharma, Sanofi-Aventis, Schering Plough, Teva, Uriach. The remaining authors declare that they have no competing interests.

Authors' contributions

JAF is responsible for the CARAT project, guarantor of the paper and participated in all stages and tasks, LNS participated in the analysis and writing the manuscript draft, ASS participated in data collection and analysis and collaborated in the process of writing the manuscript draft, MMA and ABA participated in study design and reviewed the manuscript; LFA participated in study design, led the data analysis and reviewed the manuscript; JF, MBF, RRA participated in the data collection and reviewed the manuscript and JB provided critical review during the project and reviewed the manuscript. All authors read and approved the final manuscript.

Additional file 1

Table S1. Frequencies of unanswered questions of CARAT 10 in each visit. Table S2 - Scores and subscores of CARAT 10 in both visits in patients with controlled and uncontrolled rhinitis and asthma. Figures S1 - Study design - data collection and properties evaluation. Click here for file
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8.  Global strategy for asthma management and prevention: GINA executive summary.

Authors:  E D Bateman; S S Hurd; P J Barnes; J Bousquet; J M Drazen; J M FitzGerald; P Gibson; K Ohta; P O'Byrne; S E Pedersen; E Pizzichini; S D Sullivan; S E Wenzel; H J Zar
Journal:  Eur Respir J       Date:  2008-01       Impact factor: 16.671

9.  Development of the asthma control test: a survey for assessing asthma control.

Authors:  Robert A Nathan; Christine A Sorkness; Mark Kosinski; Michael Schatz; James T Li; Philip Marcus; John J Murray; Trudy B Pendergraft
Journal:  J Allergy Clin Immunol       Date:  2004-01       Impact factor: 10.793

10.  Asthma Control Test: reliability, validity, and responsiveness in patients not previously followed by asthma specialists.

Authors:  Michael Schatz; Christine A Sorkness; James T Li; Philip Marcus; John J Murray; Robert A Nathan; Mark Kosinski; Trudy B Pendergraft; Priti Jhingran
Journal:  J Allergy Clin Immunol       Date:  2006-03       Impact factor: 10.793

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  14 in total

1.  Feasibility and Acceptability of an Asthma App to Monitor Medication Adherence: Mixed Methods Study.

Authors:  Cristina Jácome; Rute Almeida; Ana Margarida Pereira; Rita Amaral; Sandra Mendes; Magna Alves-Correia; Carmen Vidal; Sara López Freire; Paula Méndez Brea; Luís Araújo; Mariana Couto; Darío Antolín-Amérigo; Belén de la Hoz Caballer; Alicia Barra Castro; David Gonzalez-De-Olano; Ana Todo Bom; João Azevedo; Paula Leiria Pinto; Nicole Pinto; Ana Castro Neves; Ana Palhinha; Filipa Todo Bom; Alberto Costa; Cláudia Chaves Loureiro; Lilia Maia Santos; Ana Arrobas; Margarida Valério; João Cardoso; Madalena Emiliano; Rita Gerardo; José Carlos Cidrais Rodrigues; Georgeta Oliveira; Joana Carvalho; Ana Mendes; Carlos Lozoya; Natacha Santos; Fernando Menezes; Ricardo Gomes; Rita Câmara; Rodrigo Rodrigues Alves; Ana Sofia Moreira; Diana Bordalo; Carlos Alves; José Alberto Ferreira; Cristina Lopes; Diana Silva; Maria João Vasconcelos; Maria Fernanda Teixeira; Manuel Ferreira-Magalhães; Luís Taborda-Barata; Maria José Cálix; Adelaide Alves; João Almeida Fonseca
Journal:  JMIR Mhealth Uhealth       Date:  2021-05-25       Impact factor: 4.773

2.  Assessment of disease control in allergic rhinitis.

Authors:  Pascal Demoly; Moises A Calderon; Thomas Casale; Glenis Scadding; Isabella Annesi-Maesano; Jean-Jacques Braun; Bertrand Delaisi; Thierry Haddad; Olivier Malard; Florence Trébuchon; Elie Serrano
Journal:  Clin Transl Allergy       Date:  2013-02-18       Impact factor: 5.871

3.  The minimal clinically important difference of the Control of Allergic Rhinitis and Asthma Test (CARAT): cross-cultural validation and relation with pollen counts.

Authors:  Sander van der Leeuw; Thys van der Molen; P N Richard Dekhuijzen; Joao A Fonseca; Frederik A van Gemert; Roy Gerth van Wijk; Janwillem W H Kocks; Helma Oosterom; Roland A Riemersma; Ioanna G Tsiligianni; Letty A de Weger; Joanne N G Oude Elberink; Bertine M J Flokstra-de Blok
Journal:  NPJ Prim Care Respir Med       Date:  2015-01-08       Impact factor: 2.871

4.  Development process and cognitive testing of CARATkids - Control of Allergic Rhinitis and Asthma Test for children.

Authors:  Luís Miguel Borrego; João Almeida Fonseca; Ana Margarida Pereira; Vera Reimão Pinto; Daniela Linhares; Mário Morais-Almeida
Journal:  BMC Pediatr       Date:  2014-02-06       Impact factor: 2.125

Review 5.  Mite-Allergic Rhinitis: How to Evaluate Clinical Efficacy in Allergen-Specific Immunotherapy Trials?

Authors:  Oliver Pfaar; Roy Gerth van Wijk
Journal:  Curr Treat Options Allergy       Date:  2015

6.  Self-management research of asthma and good drug use (SMARAGD study): a pilot trial.

Authors:  Esther Kuipers; Michel Wensing; Peter de Smet; Martina Teichert
Journal:  Int J Clin Pharm       Date:  2017-06-09

7.  Allergic respiratory disease (ARD), setting forth the basics: proposals of an expert consensus report.

Authors:  Ana M Navarro; Julio Delgado; Rosa M Muñoz-Cano; M Teresa Dordal; Antonio Valero; Santiago Quirce
Journal:  Clin Transl Allergy       Date:  2017-05-18       Impact factor: 5.871

8.  Prospective observational study validating the German version of the Control of Allergic Rhinitis and Asthma Test (CARAT10).

Authors:  Christoph Ulrich Werner; Luisa Koch; Klaus Linde; Levente Kriston; Konrad Schultz; Oxana Atmann; Antonius Schneider
Journal:  NPJ Prim Care Respir Med       Date:  2018-12-04       Impact factor: 2.871

9.  A common language to assess allergic rhinitis control: results from a survey conducted during EAACI 2013 Congress.

Authors:  Peter W Hellings; Antonella Muraro; Wytske Fokkens; Joaquim Mullol; Claus Bachert; G Walter Canonica; David Price; Nikos Papadopoulos; Glenis Scadding; Gerd Rasp; Pascal Demoly; Ruth Murray; Jean Bousquet
Journal:  Clin Transl Allergy       Date:  2015-10-27       Impact factor: 5.871

10.  The Measurement of Asthma and Allergic Rhinitis Control in Children and Adolescents.

Authors:  Maria Angela Tosca; Paolo Del Barba; Amelia Licari; Giorgio Ciprandi
Journal:  Children (Basel)       Date:  2020-05-07
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