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Erschienen in: BMC Pulmonary Medicine 1/2019

Open Access 01.12.2019 | Research article

Asthma severity in four countries of Latin America

verfasst von: Hugo Neffen, Felipe Moraes, Karynna Viana, Valentina Di Boscio, Gur Levy, Claudia Vieira, Gabriela Abreu, Claudia Soares

Erschienen in: BMC Pulmonary Medicine | Ausgabe 1/2019

Abstract

Background

In Latin America, there is scarce information about severe asthma (SA) according to the ERS/ATS 2014 criteria. This study aimed to compare the demographic, socio, clinical characteristics, treatment, and use of healthcare resources between SA and non-severe asthma (NSA) patients in Argentina, Colombia, Chile and Mexico.

Methods

A cross-sectional study was conducted including 594 asthma patients from outpatient specialized sites. A descriptive analysis was performed comparing SA patients and NSA. Chi-square and Mann Whitney tests were used to assess associations between asthma severity and outcome variables.

Results

Using ERS/ATS 2014 criteria, 31.0% of the patients were identified as SA. SA patients were older at diagnosis (mean age 31.64 years vs 24.71 years, p < 0.001) and had higher proportion of uncontrolled asthma than the NSA patients (64.1% vs 53.2%, p < 0.001). SA patients reported a significantly higher proportion of both hospital admission and emergency room (ER) visits due to asthma in the last year, compared with NSA patients, 8.7% vs. 3.7% (p = 0.011) and 37.0% vs. 21.7% (p < 0.001), respectively.

Conclusions

SA patients were older, had greater proportions in some comorbidities and experienced increased healthcare utilization. Also, our results showed that even in patients using the last steps of treatment (GINA step 4 or 5), there was still a higher proportion of uncontrolled disease.
Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1186/​s12890-019-0871-1) contains supplementary material, which is available to authorized users.

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Abkürzungen
ACT
Asthma control test
Anti-IgE
Anti-immunoglobulin E
ASLA
Asthma control in Latin America study
ATS
American Thoracic Society
BMI
Body mass index
COPD
Chronic obstructive pulmonary disease
ER
Emergency room
ERS
European Respiratory Society
ICS
Inhaled corticosteroids
ICU
Intensive care unit
LABA
Long-acting beta2-agonist
LAMA
Long-acting muscarinic receptor antagonist
LTRA
Leukotriene receptor antagonists
NSA
Non-severe asthma
OCS
Oral corticosteroid
PEF
Peak expiratory flow
SA
Severe asthma
SABA
Short-acting beta2-agonists
USD
United States Dollars

Background

Asthma is a chronic inflammatory disorder of the airways [1] and its prevalence is estimated to range from 0.2 to 21.0% globally [2]. It is one of the most common chronic diseases among children [3] and young adults [2], and it is a significant cause of disability, high health resource utilization, and poor quality of life for those who are affected [1]. Thus, it accounts for considerable healthcare costs and loss of work productivity [4, 5].
Approximately 2–10% have some form of severe asthma (SA) [6, 7]. According to ERS/ATS 2014 guidelines [8], SA is defined as asthma that requires step four or five treatment (e.g. high-dose Inhaled Corticosteroids (ICS)/Long-acting beta2-agonist (LABA)) to prevent it from becoming ‘uncontrolled’, or asthma that remains ‘uncontrolled’ despite this treatment. SA is a heterogeneous disease with high variability in clinical presentation, physiological characteristics, and disease manifestation [6, 9].
In Latin America, there is a lack of information related to SA epidemiology and the burden of SA following implementation of the ERS/ATS 2014 criteria. Essentially, most of the Latin American studies that have assessed the SA population in the region had also included untreated patients [10, 11] or focused on the, uncontrolled asthma population [12]. Therefore, by using the ERS/ATS 2014 criteria the aims of this study were to compare the demographic, socioeconomic, and clinical characteristics, as well as treatment courses and use of healthcare resources between SA patients and non-severe asthma (NSA) patients in Argentina, Colombia, Chile, and Mexico.

Methods

Study design and population

The Asthma Control in Latin America (ASLA) study was a cross-sectional multisite study. Patients were consecutively enrolled between December 2013 and December 2015. The 16 recruiting sites were located in Argentina (five sites); Chile (five sites), Colombia (three sites), and Mexico (three sites) [13, 14].
The study included 594 diagnosed and treated asthma patients who were recruited during routine care at specialized outpatient sites, aged over 12 years old, under pneumologists follow up, with at least one prescription of asthma medication and one medical visit for asthma within the last 6 months. Individuals were excluded if they were participating in a clinical trial at the time of the study or were unable or not willing to comply with the study requirements. This study was conducted in accordance with the amended Declaration of Helsinki [15]. Written informed consent was obtained from all the participants. Minors younger than 18 years old signed the assent form and parents or legal guardians provided their written informed consent. Institutional review boards in each country approved consent forms and procedures.

Measurements

During the course of a scheduled medical visit, the participating patients were asked to complete the Asthma Control Test (ACT) [16], which was a self-administered questionnaire containing five items that can each be rated on a five-point Likert scale. Based on the ACT score, subjects were categorized as controlled (ACT score ≥ 20) or uncontrolled (ACT score < 20). The physician conducted an interview, which included questions on socio-demographic data [gender, age, skin colour (white, African-Latin American, Native American, multiple and other skin colours that were not listed)]; healthcare utilization in the last year; treatment used; and comorbidities.
Asthma severity was operationally defined using an algorithm based on answers to questions relating to the ERS/ATS 2014 criteria. SA was defined as asthma that required step four or five treatment (i.e.: high ICS doses plus a second controller or use of OCS (oral corticosteroid) regardless of ICS doses). Four treatment categories did not fulfil the ERS/ATS 2014 criteria for SA and NSA and were reviewed by a panel of three pneumologist experts on asthma to allocate a group (Table 1). Clinically significant asthma exacerbations were based on patients self-reported healthcare resource utilization, and were defined as any emergency room (ER) visit or hospitalization due to asthma.
Table 1
Respirologist-adjudicated decisions about patients’ asthma classifications and treatments, for cases where ERS/ATS 2014 guidelines were unclear
Treatment scheme not clearly defined by ERS/ATS 2014
Classification decision – defined by 3 respirologists
1: Patients using non-high dose of ICS + LAMA
Severe asthma
2: Patients using non-high dose of ICS + LABA+Anti-IgE
Severe asthma
3: Patients using OCS with other controllers that are not ICS
Severe asthma
4: Patients using non-high dose of ICS + 2 or more controllers (leukotrienes receptor antagonist OR LABA OR xanthines (theophylline OR aminophylline)
Non-severe asthma
ICS inhaled corticosteroids, LAMA long-acting muscarinic receptor antagonist, LABA long-acting beta2 -agonist, Anti-IgE anti-immunoglobulin E, OCS oral corticosteroid

Data Analysis

A descriptive analysis was carried out, comparing socio-demographic characteristics, clinical factors, asthma control, nutritional status, healthcare utilization in the last year, treatment used, and comorbidities of SA patients compared with NSA patients.
Body Mass Index (BMI) was calculated in adults as weight divided by the square of height, and the nutritional status categorized as: underweight < 18.5 Kg/m2; eutrophic = 18.5–24.9 Kg/m2; overweight = 25–29.9 Kg/m2; and obesity ≥30Kg/m2. BMI in adolescents was calculated following the indications described elsewhere [17] and the nutritional status classified as underweight (Z-score < − 3 and < − 2); eutrophic (Z-score ≥ − 2 and ≤ 1); overweight (score-Z > 1 and ≤ 2); and obese (Z-score > 2). For demographic and clinical outcome variables, Chi-square test or the Fisher exact test (as appropriate) and Mann Whitney test were used to assess associations between SA patients and NSA patients. Values of p < 0.05 were considered statistically significant. Data analysis was performed using Stata™13 College Station,TX: StataCorpLP and SPSS™ version 24.

Results

A total of 594 asthma patients were studied: 154 subjects from Argentina, 154 from Chile, 163 from Mexico and 123 from Colombia. Overall 72.7% were women and 50.8% white, with a median age of 47 years old at the time of the study visit and an age of 25 at the time of asthma diagnosis. According to the ERS/ATS 2014 criteria, 31.0% of the patients had SA (Table 2). Among the SA patients, 88.0% were classified as SA by the use of high ICS dose plus a second controller (Table 4). Of the 12% remaining, about 11.4% used ICS in doses that were not high but were classified as SA due to the use of anti-IgE, tiotropium, anti-IgE and tiotropium at the same time or OCS. The last 0.6% used OCS without ICS in combination and due to that it was also considered as SA.
Differences in socio-demographic and clinical factors by SA and NSA are shown in Table 2. NSA patients were younger than the SA patients at study visit and at diagnosis. 72.1% of the SA patients were overweight or obese. A higher proportion of SA patients reported having performed at least one PEF test in the last year compared with NSA patients (35.9% vs. 16.6%, p < 0.001).
Table 2
Sociodemographic and clinical factors by severe asthma status in Argentina, Chile, Colombia, and Mexico 2013–2015
Independent variables
Severe asthma
Non-severe asthma
p-value
Total
N
(%)
N
(%)
 
N
(%)
Gender
 Male
44
23.9
118
28.8
0.218
162
27.3
 Female
140
76.1
292
71.2
 
432
72.7
Age at the moment of medical visit (years)
 12–19
11
6.0
50
12.2
< 0.001
61
10.3
 20–29
14
7.6
64
15.6
 
78
13.1
 30–39
13
7.1
70
17.1
83
14.0
 40–49
29
15.8
83
20.2
112
18.9
 50–59
53
28.8
67
16.3
120
20.2
  ≥ 60
64
34.8
76
18.5
140
23.6
Age (years)
 
 Mean (±SD)
51.81 (±16.76)
42.36 (±18.03)
< 0.001
45.29 (±18.16)
 Median (IQR)
54 (20)
42 (28)
 
47 (28)
Age at asthma diagnosis (years)
  ≤ 9
39
21.2
112
27.3
< 0.001
151
25.4
 10–25
37
20.1
116
28.3
 
153
25.8
 26–41
42
22.8
104
25.4
146
24.6
  ≥ 42
66
35.9
78
19.0
144
24.2
Age at asthma diagnosis (years)
 Mean (±SD)
31.64 (±20.94)
24.71 (±18.27)
< 0.001
26.86 (±19.38)
 Median (IQR)
30 (38)
23 (30)
 
25 (32)
Reason for the medical visit
 Obtain prescription
2
1.1
8
2.0
0.820
10
1.7
 Routine check-up
181
98.4
398
97.1
 
579
97.5
 Other
1
0.5
4
1.0
5
0.8
Race/Ethnicitya
 
 White
103
56.3
198
48.3
< 0.001
301
50.8
 African-Latin American
34
18.6
184
44.9
 
218
36.8
 Native American
3
1.6
5
1.2
8
1.4
 Other
4
2.2
2
0.5
6
1.0
 Multiple
39
21.3
21
5.1
60
10.1
Nutritional statusb
 
 Underweight
1
0.5
13
3.2
0.005
14
2.4
 Eutrophic
50
27.3
152
37.1
 
202
34.1
 Overweight
73
39.9
154
37.7
227
38.3
 Obesity
59
32.2
90
22.0
149
25.2
Had at least one PEF test last 12 months
 Yes
66
35.9
68
16.6
< 0.001
134
22.6
 No
118
64.1
342
83.4
 
460
77.4
Had at least one spirometry last 12 months
 Yes
133
72.3
264
64.4
0.059
397
66.8
 No
51
27.7
146
35.6
 
197
33.2
BMI body mass index, PEF Peak Expiratory Flow, USD US dollars, SD Standard deviation, IQR interquatile range
a1 missing value
b2 missings values
Figure 1 shows that more than a half of SA (64.1%) and NSA (53.2%) patients were uncontrolled, and this proportion was higher in SA when compared to NSA (p = 0.013).
Table 3 shows healthcare resources used and the number of clinically significant asthma exacerbation suffered during the last year by SA and NSA patients. Overall, SA patients reported a statistically significant two times higher proportion of both hospital admission (8.7% vs. 3.7%, p = 0.011) and almost two times higher proportion for ER visits due to asthma (37.0% vs. 21.7%, p < 0.001)) in the last year, compared with NSA patients.
Table 3
Asthma exacerbation by severe asthma status in Argentina, Chile, Colombia, and Mexico, 2013–2015
Clinical characteristics
Severe asthma
Non-severe asthma
p-value
Total
N
(%)
N
(%)
N
(%)
Hospital admissions
 Due to asthma
16
8.7
15
3.7
0.011
31
5.2
 Due to other causes
12
6.5
10
2.4
0.015
22
3.7
Hospital admissions mean; median
 Due to asthma
0.17 (0.00)
0.14 (0.00)
0.012
0.15 (0.00)
 Due to other causes
0.12 (0.00)
0.05 (0.00)
0.015
0.07 (0.00)
Hospital admissions including ICU
 Due to asthma
4
2.2
10
2.4
1.000
14
2.4
 Due to other causes
6
3.3
6
1.5
0.150
12
2.0
Hospital admissions including ICU mean; median
 Due to asthma
0.03 (0.00)
0.07 (0.00)
0.839
0.06 (0.00)
 Due to other causes
0.03 (0.00)
0.02 (0.00)
0.152
0.02 (0.00)
ER visits
 Due to asthma
68
37.0
89
21.7
<0.001
157
26.4
 Due to other causes
26
14.1
30
7.3
0.009
56
9.4
ER visits mean; median
 Due to asthma
1.71 (0.00)
0.42 (0.00)
<0.001
0.82 (0.00)
 Due to other causes
0.21 (0.00)
0.12 (0.00)
0.009
0.15 (0.00)
At least one asthma clinically significant asthma exacerbation
68
37.0
89
21.7
<0.001
157
26.4
Number of clinically significant asthma exacerbation
 0
116
63.0
321
78.3
<0.001
437
73.6
 1
22
12.0
45
11.0
 
67
11.3
 2
11
6.0
21
5.1
 
32
5.4
 3
7
3.8
11
2.7
 
18
3.0
 ≥ 4
28
15.2
12
2.9
 
40
6.7
Number of clinically significant asthma exacerbation
 Mean (±SD)
1.88 (±7.85)
0.56 (±2.11)
<0.001
0.97 (±4.74)
 Median (IQR)
0.00 (0)
0.00 (2)
 
0.00 (1)
ER emergency room, ICU intensive care unit
Regarding the hospital admission and emergency visits due to other causes, SA patients also had a significant higher proportion of both events than NSA patients (6.5% vs 2.4%, p = 0.015 and 14.1% vs 7.3%, p = 0.009). The same pattern was observed when considering the mean number of clinically significant asthma exacerbations (mean 1.88 vs 0.56, p < 0.001).
When comparing use of current asthma medication by asthma severity classification (Table 4), the most common medication used in SA patients was ICS (99.5%), even in NSA patients (88.0%). Nevertheless, when comparing combination therapies (Table 5), the most prescribed was ICS/LABA, followed by ICS only in the overall population (49.0 and 17.3%, respectively). The most controller therapy used was ICS/LABA for both SA (47.8%) and NSA (49.5%) patients.
Table 4
Self-reported medication used by severe asthma status in Argentina, Chile, Colombia, and Mexico, 2013–2015
 
Severe asthma
Non-severe asthma
p-value
Overall
N
(%)a
N
(%)
N
(%)
SAMA
34
18.5
35
8.5
< 0.001
69
11.6
Tiotropium
34
18.5
4
1.0
< 0.001
38
6.4
Antihistamines
21
11.4
22
5.4
0.009
43
7.2
Anti-immunoglobulin E agents
15
8.2
0
< 0.001
15
2.5
ICS
183
99.5
361
88.0
< 0.001
544
91.6
 High doses
162
88.0
15
3.7
 
177
29.8
 Not high doses
21
11.4
346
84.4
367
61.8
LABA
173
94.0
248
60.5
< 0.001
421
70.9
Leukotriene antagonists
53
28.8
39
9.5
< 0.001
92
15.5
SABA
120
65.2
241
58.8
0.137
361
60.8
Systemic corticosteroids
20
10.9
0
< 0.001
20
3.4
Xanthine and adrenergics
10
5.4
6
1.5
0.006
16
2.7
Other asthma medications
0
1
0.2
1.000
1
0.2
SAMA short-acting muscarinic antagonist, ICS inhaled corticosteroids, LABA long-acting beta2-agonist, SABA short-acting beta2-agonist
aThe values correspond to the percentage of each drug used and they may be overlapped
Table 5
Self-reported combination therapies used by severe asthma status in Argentina, Chile, Colombia, and Mexico, 2013–2015
 
Severe asthma
Non-severe asthma
p-value
Total
N
(%)
n
(%)
N
(%)
ICS + LABA
88
47.8
203
49.5
0.704
291
49.0
ICS only
0
103
25.1
< 0.001
103
17.3
ICS + LABA + Tiotropium
8
4.3
0
< 0.001
8
1.3
ICS + LABA + LTRA
15
8.2
25
6.1
0.356
40
6.7
ICS + LABA + Xanthine
0
2
0.5
1.000
2
0.3
ICS + LABA + Anti-IgE
3
1.6
0
0.029
3
0.5
ICS + LTRA
1
0.5
0
0.310
1
0.2
ICS + LABA + Antihistamine
9
4.9
10
2.4
0.116
19
3.2
Other
60
32.6
67
16.3
< 0.001
127
21.4
ICS inhaled corticosteroids, LABA long-acting beta2-agonist, LTRA leukotriene receptor antagonists
Finally, when comparing SA with NSA patients regarding self-reported comorbidities (Table 6), the most reported among the SA patients were chronic rhinitis (52.7%) followed by hypertension/hypertension syndrome (32.1%) and gastroesophageal reflux disease (27.2%). On the other hand, among the NSA patients the most frequent reported comorbidities were chronic rhinitis (56.8%), followed by chronic sinusitis and/or rhinosinusitis (22.2%) and gastroesophageal reflux (17.1%). Nevertheless, hypertension, COPD, psychological disturbances (as depression and anxiety), gastroesophageal reflux disease and obesity were higher in SA and this difference was statistically significant.
Table 6
Patient-reported comorbidities by severe and non-severe asthma patients in Argentina, Chile, Colombia, and Mexico, 2013–2015
Comorbid Condition
Severe asthma
Non-severe asthma
p-value
Total
N
(%)
N
(%)
N
(%)
Chronic rhinitis
97
52.7
233
56.8
0.351
330
55.6
Hypertension/hypertension syndrome
59
32.1
55
13.4
< 0.001
114
19.2
Gastroesophageal reflux disease
50
27.2
70
17.1
0.005
120
20.2
Obesity
44
23.9
50
12.2
< 0.001
94
15.8
Chronic sinusitis/rhinosinusitis
31
16.8
91
22.2
0.136
122
20.5
Psychological disturbances (as depression and anxiety disorders)
31
16.8
35
8.5
0.003
66
11.1
Chronic/recurrent respiratory infections
25
13.6
44
10.7
0.315
69
11.6
Hormonal disturbances
18
9.8
28
6.8
0.213
46
7.7
Diabetes
16
8.7
26
6.3
0.301
42
7.1
COPD
11
6.0
10
2.4
0.031
21
3.5
Obstructive sleep apnea/Sleep-disordered breathing
8
4.3
12
2.9
0.375
20
3.4
Smoking
8
4.3
26
6.3
0.333
34
5.7
Cancera
5
2.7
5
1.2
0.298
10
1.7
Cardiac arrythmiaa
4
2.2
6
1.5
0.509
10
1.7
Ischemic heart diseasea
4
2.2
6
1.5
0.509
10
1.7
Glottic (vocal cord) dysfunctiona
2
1.1
6
1.5
1.000
8
1.3
Cerebrovascular diseasea
1
0.5
1
0.2
0.524
2
0.3
Heart failurea
1
0.5
1
0.2
0.524
2
0.3
Other
60
32.6
53
12.9
< 0.001
113
19.0
COPD chronic obstructutive pulmonary disease
aFisher Exact Test applied when there were fewer than 5 cases in any cell

Discussion

To our knowledge, there are no previous description of the SA population in Latin America countries following the updated 2014 ERS/ATS criteria. Results from the present cross-sectional study showed that overall prevalence of SA is 31.0% among patients from outpatient specialized sites in Argentina, Chile, Colombia and Mexico. We found that patients reflecting the ERS/ATS steps 4 and 5 tended to be diagnosed at a later age, had higher proportion of hypertension, COPD, psychological disturbances, gastroesophageal reflux disease, obesity, and experienced increased healthcare utilization.
In our study, we observed that SA patients were older at the time of study and at the time of asthma diagnosis when compared with NSA patients - which is in alignment with other studies [18, 19]. This might be explained by the generalized decline in lung function in older patients, leading to more severe patients [20]. However, our study is limited to reinforce this idea due to lack of a longitudinal analysis and a multivariable analysis controlled by possible confounders.
It is worth noting from our results that despite the use of high doses of ICS in the SA group, more than 60% of them were uncontrolled, proportion that was higher when compared with NSA. Even in the overall population attending those specialized sites, 56.6% were uncontrolled. This was consistent with other studies, where SA patients had an increased number of exacerbations, as well as higher rates of hospital admissions and ER attendances [19].
Current asthma management guidelines acknowledge that PEF monitoring during exacerbations of asthma help determine the severity of these flares and can be useful to guide therapeutic decisions [8]. However, in our study less than 40% in both SA and NSA patients reported using PEF meter at least once in the last year. This low proportion is in accordance with the AIRLA study [10], which evaluated the impact of asthma in Latin America and showed that 54% of asthma patients ever had no spirometry and 96% had not ever performed a PEF test, according to patient self-reported surveys. Although there are differences in methodologies between our study and AIRLA study, which is population-based, both data reinforce that spirometry is not common in Latin America region and the reasons for that should be further evaluated.
As other studies have described that SA patients often display a high number of comorbidities [12, 21], our results found relevant differences between SA and NSA patients with regards to obesity, hypertension, COPD, psychological disturbances and gastroesophageal reflux disease. The SA Research Program (SARP) also showed that hypertension, obesity and gastroesophageal reflux disease are associated with SA [22]. Specially for hypertension, it is a significant predictor for asthma severity, but this relationship was found predominately among the white population, rather than in black patients [23]. It is important to take into account that aging could be a confounding factor in the association found between SA and comorbidities observed in our study. For psychological disturbances, the literature already described higher levels of anxiety and depression in SA patients [24, 25], which is in line with the results found in our study. Finally, COPD has been recently described to be higher in SA group by other authors [26, 27].
The external validity of the current study is limited, as most patients were recruited from specialized asthma clinics and the sample size for ASLA study was not calculated to be representative for each country. Another limitation of our study is the cross-sectional evaluation of medication use, as we did not capture the treatment step up and step down through the past years. The comparison between our result and other studies is difficult, mainly due to the fact that most part of the studies refers to the prevalence of refractory asthma and not to SA. Our analysis may also be subject to recall bias.

Conclusion

The results of our study may support the identification of SA in our region contributing to the better management of these patients. What is more, this study highlights the need to improve the asthma control in these patients that are already being treated with high ICS doses. Furthermore, complexity of SA phenotypes would require deeper investigations to determine specific phenotypes to be able to prescribe the precise therapy to increase the level of control in SA patients.

Acknowledgments

The authors wish to acknowledge Cinthia Torreão and Ronan Valladares for operational support as GSK employees, and the editorial support in the form of copyediting, which was provided by Juliana Reyes of RANDOM LTD and was funded by GSK.
This is a reanalysis of a previously conducted study – the Asthma Control in Latin America (ASLA) study – with no additional data collection. The previous ASLA study was approved by applicable institutional review boards/independent ethics committees and was conducted in accordance with the Declaration of Helsinki. All institutional review boards/independent ethics committees have been listed in the Additional file 1. Prior to study participation, all patients aged 18 years or older provided written informed consent; patients aged 12 to 18 years provided a written assent form, and their parents or legal guardians (for emancipated minors) provided written informed consent, in accordance with local requirements.
Not applicable.

Competing interests

HN has nothing to disclosure; KV and FM are GSK employees; CV and GA are GSK complementary employees. CS, GL and VDB are GSK employees and holds GSK stocks.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.

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Literatur
1.
Zurück zum Zitat Braman SS. The global burden of asthma. Chest. 2006;130(1 Suppl):4s–12s.CrossRef Braman SS. The global burden of asthma. Chest. 2006;130(1 Suppl):4s–12s.CrossRef
2.
Zurück zum Zitat To T, Stanojevic S, Moores G, Gershon AS, Bateman ED, Cruz AA, Boulet L-P. Global asthma prevalence in adults: findings from the cross-sectional world health survey. BMC Public Health. 2012;12(1):204.CrossRef To T, Stanojevic S, Moores G, Gershon AS, Bateman ED, Cruz AA, Boulet L-P. Global asthma prevalence in adults: findings from the cross-sectional world health survey. BMC Public Health. 2012;12(1):204.CrossRef
3.
Zurück zum Zitat Deng Q, Lu C, Norbäck D, Bornehag C-G, Zhang Y, Liu W, Yuan H, Sundell J. Early life exposure to ambient air pollution and childhood asthma in China. Environ Res. 2015;143:83–92.CrossRef Deng Q, Lu C, Norbäck D, Bornehag C-G, Zhang Y, Liu W, Yuan H, Sundell J. Early life exposure to ambient air pollution and childhood asthma in China. Environ Res. 2015;143:83–92.CrossRef
4.
Zurück zum Zitat Masoli M, Fabian D, Holt S, Beasley R. The global burden of asthma: executive summary of the GINA dissemination committee report. Allergy. 2004;59(5):469–78.CrossRef Masoli M, Fabian D, Holt S, Beasley R. The global burden of asthma: executive summary of the GINA dissemination committee report. Allergy. 2004;59(5):469–78.CrossRef
5.
Zurück zum Zitat Sullivan PW, Campbell JD, Ghushchyan VH, Globe G, Lange J, Woolley JM. Characterizing the severe asthma population in the United States: claims-based analysis of three treatment cohorts in the year prior to treatment escalation. J Asthma. 2015;52(7):669–80.CrossRef Sullivan PW, Campbell JD, Ghushchyan VH, Globe G, Lange J, Woolley JM. Characterizing the severe asthma population in the United States: claims-based analysis of three treatment cohorts in the year prior to treatment escalation. J Asthma. 2015;52(7):669–80.CrossRef
6.
Zurück zum Zitat Poon AH, Hamid Q. Severe asthma: have we made Progress? Ann Am Thorac Soc. 2016;13(Suppl 1):S68–77.PubMed Poon AH, Hamid Q. Severe asthma: have we made Progress? Ann Am Thorac Soc. 2016;13(Suppl 1):S68–77.PubMed
7.
Zurück zum Zitat Antonicelli L, Bucca C, Neri M, De Benedetto F, Sabbatani P, Bonifazi F, Eichler HG, Zhang Q, Yin DD. Asthma severity and medical resource utilisation. Eur Respir J. 2004;23(5):723–9.CrossRef Antonicelli L, Bucca C, Neri M, De Benedetto F, Sabbatani P, Bonifazi F, Eichler HG, Zhang Q, Yin DD. Asthma severity and medical resource utilisation. Eur Respir J. 2004;23(5):723–9.CrossRef
8.
Zurück zum Zitat Chung KF, Wenzel SE, Brozek JL, Bush A, Castro M, Sterk PJ, Adcock IM, Bateman ED, Bel EH, Bleecker ER, et al. International ERS/ATS guidelines on definition, evaluation and treatment of severe asthma. Eur Resp J. 2014;43(2):343–73.CrossRef Chung KF, Wenzel SE, Brozek JL, Bush A, Castro M, Sterk PJ, Adcock IM, Bateman ED, Bel EH, Bleecker ER, et al. International ERS/ATS guidelines on definition, evaluation and treatment of severe asthma. Eur Resp J. 2014;43(2):343–73.CrossRef
9.
Zurück zum Zitat Horak F, Doberer D, Eber E, Horak E, Pohl W, Riedler J, Szépfalusi Z, Wantke F, Zacharasiewicz A, Studnicka M. Diagnosis and management of asthma - statement on the 2015 GINA guidelines. Wien Klin Wochenschr. 2016;128(15–16):541–54.CrossRef Horak F, Doberer D, Eber E, Horak E, Pohl W, Riedler J, Szépfalusi Z, Wantke F, Zacharasiewicz A, Studnicka M. Diagnosis and management of asthma - statement on the 2015 GINA guidelines. Wien Klin Wochenschr. 2016;128(15–16):541–54.CrossRef
10.
Zurück zum Zitat Neffen H, Fritscher C, Schacht FC, Levy G, Chiarella P, Soriano JB, Mechali D. Asthma control in Latin America: the asthma insights and reality in Latin America (AIRLA) survey. Rev Panam Salud Publica. 2005;17(3):191–7.CrossRef Neffen H, Fritscher C, Schacht FC, Levy G, Chiarella P, Soriano JB, Mechali D. Asthma control in Latin America: the asthma insights and reality in Latin America (AIRLA) survey. Rev Panam Salud Publica. 2005;17(3):191–7.CrossRef
11.
Zurück zum Zitat Franco R, Santos AC, do Nascimento HF, Souza-Machado C, Ponte E, Souza-Machado A, So L, Barreto ML, Rodrigues LC, Aa C. Cost-effectiveness analysis of a state funded programme for control of severe asthma. BMC Public Health. 2007;7:82.CrossRef Franco R, Santos AC, do Nascimento HF, Souza-Machado C, Ponte E, Souza-Machado A, So L, Barreto ML, Rodrigues LC, Aa C. Cost-effectiveness analysis of a state funded programme for control of severe asthma. BMC Public Health. 2007;7:82.CrossRef
12.
Zurück zum Zitat de Carvalho-Pinto RM, Cukier A, Angelini L, Antonangelo L, Mauad T, Dolhnikoff M, Rabe KF, Stelmach R. Clinical characteristics and possible phenotypes of an adult severe asthma population. Respir Med. 2012;106(1):47–56.CrossRef de Carvalho-Pinto RM, Cukier A, Angelini L, Antonangelo L, Mauad T, Dolhnikoff M, Rabe KF, Stelmach R. Clinical characteristics and possible phenotypes of an adult severe asthma population. Respir Med. 2012;106(1):47–56.CrossRef
13.
Zurück zum Zitat Neffen HE, Vallejo-Perez E, Chahuan M, Giugno E, Hernández-Colín DD, Bolivar F, Levy G, Vieira C, Moraes F, Viana KP, et al. Uncontrolled asthma in specialized centers in Latin America: findings from the asthma control in Latin America (ASLA) study. J Allergy Clin Immunol. 2017;139(2):–AB206.CrossRef Neffen HE, Vallejo-Perez E, Chahuan M, Giugno E, Hernández-Colí­n DD, Bolivar F, Levy G, Vieira C, Moraes F, Viana KP, et al. Uncontrolled asthma in specialized centers in Latin America: findings from the asthma control in Latin America (ASLA) study. J Allergy Clin Immunol. 2017;139(2):–AB206.CrossRef
14.
Zurück zum Zitat Neffen H, Chahuàn M, Hernández DD, Vallejo-Perez E, Bolivar F, Sánchez MH, Galleguillos F, Castaños C, Orellana RS, Giugno E, et al. Key factors associated with uncontrolled asthma – the asthma control in Latin America study. J Asthma. 2019:1–10. Neffen H, Chahuàn M, Hernández DD, Vallejo-Perez E, Bolivar F, Sánchez MH, Galleguillos F, Castaños C, Orellana RS, Giugno E, et al. Key factors associated with uncontrolled asthma – the asthma control in Latin America study. J Asthma. 2019:1–10.
15.
Zurück zum Zitat Rickham PP. Human experimentation. Code of ethics of the world medical association. Declaration of Helsinki. British Med J. 1964;2(5402):177. Rickham PP. Human experimentation. Code of ethics of the world medical association. Declaration of Helsinki. British Med J. 1964;2(5402):177.
16.
Zurück zum Zitat Nathan RA, Sorkness CA, Kosinski M, Schatz M, Li JT, Marcus P, Murray JJ, Pendergraft TB. Development of the asthma control test: a survey for assessing asthma control. J Allergy Clin Immunol. 2004;113(1):59–65.CrossRef Nathan RA, Sorkness CA, Kosinski M, Schatz M, Li JT, Marcus P, Murray JJ, Pendergraft TB. Development of the asthma control test: a survey for assessing asthma control. J Allergy Clin Immunol. 2004;113(1):59–65.CrossRef
17.
Zurück zum Zitat de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85(9):660–7.CrossRef de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85(9):660–7.CrossRef
18.
Zurück zum Zitat Bavbek S, Celik G, Ediger D, Mungan D, Sin B, Demirel YS, Misirligil Z. Severity and associated risk factors in adult asthma patients in Turkey. Ann Allergy Asthma Immunol. 2000;85(2):134–9.CrossRef Bavbek S, Celik G, Ediger D, Mungan D, Sin B, Demirel YS, Misirligil Z. Severity and associated risk factors in adult asthma patients in Turkey. Ann Allergy Asthma Immunol. 2000;85(2):134–9.CrossRef
19.
Zurück zum Zitat Moore WC, Bleecker ER, Curran-Everett D, Erzurum SC, Ameredes BT, Bacharier L, Calhoun WJ, Castro M, Chung KF, Clark MP, et al. Characterization of the severe asthma phenotype by the National Heart, Lung, and Blood Institute's severe asthma research program. J Allergy Clin Immunol. 2007;119(2):405–13.CrossRef Moore WC, Bleecker ER, Curran-Everett D, Erzurum SC, Ameredes BT, Bacharier L, Calhoun WJ, Castro M, Chung KF, Clark MP, et al. Characterization of the severe asthma phenotype by the National Heart, Lung, and Blood Institute's severe asthma research program. J Allergy Clin Immunol. 2007;119(2):405–13.CrossRef
20.
Zurück zum Zitat Ronmark E, Lindberg A, Watson L, Lundback B. Outcome and severity of adult onset asthma--report from the obstructive lung disease in northern Sweden studies (OLIN). Respir Med. 2007;101(11):2370–7.CrossRef Ronmark E, Lindberg A, Watson L, Lundback B. Outcome and severity of adult onset asthma--report from the obstructive lung disease in northern Sweden studies (OLIN). Respir Med. 2007;101(11):2370–7.CrossRef
21.
Zurück zum Zitat Araujo AC, Ferraz E, Borges Mde C, Filho JT, Vianna EO. Investigation of factors associated with difficult-to-control asthma. J Bras Pneumol. 2007;33(5):495–501.CrossRef Araujo AC, Ferraz E, Borges Mde C, Filho JT, Vianna EO. Investigation of factors associated with difficult-to-control asthma. J Bras Pneumol. 2007;33(5):495–501.CrossRef
22.
Zurück zum Zitat Teague WG, Phillips BR, Fahy JV, Wenzel SE, Fitzpatrick AM, Moore WC, Hastie AT, Bleecker ER, Meyers DA, Peters SP, et al. Baseline Features of the Severe Asthma Research Program (SARP III) Cohort: Differences with Age. J Allergy Clin Immunol Pract. 2018;6(2):545–554.e544.CrossRef Teague WG, Phillips BR, Fahy JV, Wenzel SE, Fitzpatrick AM, Moore WC, Hastie AT, Bleecker ER, Meyers DA, Peters SP, et al. Baseline Features of the Severe Asthma Research Program (SARP III) Cohort: Differences with Age. J Allergy Clin Immunol Pract. 2018;6(2):545–554.e544.CrossRef
23.
Zurück zum Zitat Gamble C, Talbott E, Youk A, Holguin F, Pitt B, Silveira L, Bleecker E, Busse W, Calhoun W, Castro M, et al. Racial differences in biologic predictors of severe asthma: data from the severe asthma research program. J Allergy Clin Immunol. 2010;126(6):1149–1156.e1141.CrossRef Gamble C, Talbott E, Youk A, Holguin F, Pitt B, Silveira L, Bleecker E, Busse W, Calhoun W, Castro M, et al. Racial differences in biologic predictors of severe asthma: data from the severe asthma research program. J Allergy Clin Immunol. 2010;126(6):1149–1156.e1141.CrossRef
24.
Zurück zum Zitat Shaw DE, Sousa AR, Fowler SJ, Fleming LJ, Roberts G, Corfield J, Pandis I, Bansal AT, Bel EH, Auffray C, et al. Clinical and inflammatory characteristics of the European U-BIOPRED adult severe asthma cohort. Eur Respir J. 2015;46(5):1308–21.CrossRef Shaw DE, Sousa AR, Fowler SJ, Fleming LJ, Roberts G, Corfield J, Pandis I, Bansal AT, Bel EH, Auffray C, et al. Clinical and inflammatory characteristics of the European U-BIOPRED adult severe asthma cohort. Eur Respir J. 2015;46(5):1308–21.CrossRef
25.
Zurück zum Zitat Sweeney J, Patterson CC, Menzies-Gow A, Niven RM, Mansur AH, Bucknall C, Chaudhuri R, Price D, Brightling CE, Heaney LG. Comorbidity in severe asthma requiring systemic corticosteroid therapy: cross-sectional data from the optimum patient care research database and the British thoracic difficult asthma registry. Thorax. 2016;71(4):339–46.CrossRef Sweeney J, Patterson CC, Menzies-Gow A, Niven RM, Mansur AH, Bucknall C, Chaudhuri R, Price D, Brightling CE, Heaney LG. Comorbidity in severe asthma requiring systemic corticosteroid therapy: cross-sectional data from the optimum patient care research database and the British thoracic difficult asthma registry. Thorax. 2016;71(4):339–46.CrossRef
26.
Zurück zum Zitat Panek M, Mokros L, Pietras T, Kuna P. The epidemiology of asthma and its comorbidities in Poland--health problems of patients with severe asthma as evidenced in the province of Lodz. Respir Med. 2016;112:31–8.CrossRef Panek M, Mokros L, Pietras T, Kuna P. The epidemiology of asthma and its comorbidities in Poland--health problems of patients with severe asthma as evidenced in the province of Lodz. Respir Med. 2016;112:31–8.CrossRef
27.
Zurück zum Zitat Varsano S. Severe and non-severe asthma in the community: a large electronic database analysis. Respir Med. 2017;123:131–9.CrossRef Varsano S. Severe and non-severe asthma in the community: a large electronic database analysis. Respir Med. 2017;123:131–9.CrossRef
Metadaten
Titel
Asthma severity in four countries of Latin America
verfasst von
Hugo Neffen
Felipe Moraes
Karynna Viana
Valentina Di Boscio
Gur Levy
Claudia Vieira
Gabriela Abreu
Claudia Soares
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
BMC Pulmonary Medicine / Ausgabe 1/2019
Elektronische ISSN: 1471-2466
DOI
https://doi.org/10.1186/s12890-019-0871-1

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