Abstract
Background
Severity of occupational asthma at diagnosis is an important prognostic factor. The aim of this study was to determine which factors affect the severity of occupational asthma with latency period at diagnosis.
Methods
The study population consisted of 229 consecutive subjects with occupational asthma with latency period recruited by four occupational health departments and divided into two groups according to the severity of the disease at diagnosis. The moderate-severe (FEV1 < 70% predicted, or PD20 methacholine ≤300 μg; n=101) and mild (FEV1 ≥70% predicted and PD20 methacholine > 300 μg, n=128) groups were compared in terms of clinical and demographic parameters. Multivariate analysis using logistic regressions was performed to examine factors associated with asthma severity.
Results
Duration of symptoms before diagnosis was significantly longer in the moderate-severe group (mean ± SD: 6.3 ± 6.8 years versus 3.4 ± 4.4 years, p<0.001). Sex ratio, age, atopy, smoking habits, duration of exposure before symptoms, and molecular weight of the causal agent were not significantly different between the two groups. On multivariate analysis, only duration of symptoms before diagnosis was associated with asthma severity (aOR=1.12, 95% CI 1.05–1.18, p<0.001).
Conclusions
Severity of occupational asthma with latency period at diagnosis was associated with duration of symptoms before diagnosis, but not with the type of causal agent. This finding emphasizes the need for early diagnosis and avoidance of exposure.
Keywords: Adult, Asthma, diagnosis, Female, Humans, Male, Middle Aged, Multivariate Analysis, Occupational Diseases, diagnosis, Occupational Exposure, adverse effects, Prognosis, Prospective Studies, Reaction Time, Risk Factors, Severity of Illness Index, Time Factors
Introduction
Occupational asthma (OA) is a disease characterized by airway inflammation, variable airflow limitation, and airway hyperresponsiveness due to causes and conditions attributable to a particular environment and not to stimuli encountered outside the workplace (1). It is one of the commonest occupational respiratory diseases in many industrialized countries (2). It has been estimated that 10% to 15% of cases of asthma in adults are associated with occupational factors (3,4).
Severity of OA at diagnosis is an important prognostic factor (5). Factors associated with OA severity might have important clinical and socioeconomic consequences and consequently important implications for management and prevention (6). However, very few studies have described the severity of OA at the time of diagnosis (7).
The aim of this study was to determine which factors affect the severity of OA with latency period at the time of diagnosis.
Materials and Methods
Subjects
We conducted a prospective multicenter study in consecutive patients referred between 2001 and 2004 to four occupational health departments in the Paris area for suspicion of OA. The eligible population consisted of all patients with a confirmed diagnosis of OA with latency period. Cases of OA without latency period (reactive airways dysfunction syndrome (8)), were not included in the study.
According to the proposals of the American College of Chest Physicians (ACCP), the diagnosis of OA (surveillance definition) was based on four criteria (2): (A) diagnosis of asthma based on a compatible history and confirmed by either nonspecific bronchial hyperresponsiveness (provocative dose of methacholine causing a 20% fall in FEV1 (PD20 methacholine) ≤ 2000 μg (9)) or a variable airflow limitation, (B) onset of asthma after entering the workplace, (C) association between symptoms of asthma and work, and (D) one or more of the following criteria: (D1) workplace exposure to an agent known to give rise to OA; or (D2) work-related changes in forced expiratory volume in one second (FEV1) or peak expiratory flow (PEF) rate, or (D3) work-related changes in bronchial responsiveness, or (D4) positive response to specific inhalation challenge test.
Patients fitting the ACCP medical case definition [A+B+C+D1+(D2 or D3 or D4)] constituted a sub-sample of the study population (definite OA subgroup). Other subjects were considered as having probable OA (probable OA subgroup).
Investigations
The investigations included:
an interview by an occupational physician. Information on gender, age, smoking habits, occupation, number of workers in the company, duration of exposure before symptoms and duration of symptoms before diagnosis, and treatment by inhaled corticosteroids at diagnosis, was systematically recorded;
calculation of a symptom score by means of a standardized questionnaire ob respiratory symptoms over the last fortnight, based on frequency of dyspnea, cough, chest discomfort, wheezing in the chest, and nocturnal awakening, using a five-point scale for each item, ranging from “always” (=1) to “never” (=5). The symptom score was the sum of the 5 items equally weighted, and therefore ranged for 5 to 35 (subjects suffered from important symptoms had then a low score);
skin-prick tests with the usual airborne allergens (Dermatophagoides pteronyssinus, D. farinae, cockroach, cat and dog allergens, Poaceae and Betulaceae pollens, Alternaria) (Allerbio®). Atopy was defined by at least one positive skin-prick test;
spirometry and methacholine challenge test in the absence of contraindication, or bronchodilator test (in the case of airways obstruction);
In order to confirm the suspected causal allergen involved in OA onset, specific immunologic tests were performed, when appropriate, using quantification of IgE specific antibodies (RAST) or specific skin-prick testing (Allerbio®, Stallergenes® for latex).
Analyses
For the analyses, subjects were classified into two groups according to the severity of OA with latency period:
mild OA group included workers with FEV1 ≥70% predicted and PD20 methacholine ≥300 μg.
moderate-severe group included workers with FEV1 <70% predicted or PD20 methacholine < 300 μg.
Values for continuous variables were expressed as the mean (standard deviation, sd). Chi-square test and Student t test were used for bivariate analyses. A p-value less than 0.05 was considered statistically significant.
In order to study the influence of time between last exposure and methacholine challenge test on OA severity, we compared patients who had been still exposed to the occupational exposure at the time of functional tests (last exposure less than one week) to patients who ended exposure over one week and over one month.
Multiple logistic regression models were constructed to determine factors associated with severity of OA. Factors investigated were gender, age, smoking habits, atopy, molecular weight of the causal allergen (high versus low), duration of exposure before symptoms, duration of symptoms before diagnosis, and symptom score. Missing data for atopy were recoded as no atopy, and missing data for symptom score were recoded as its median. Models limited to subjects with definite OA and subjects with probable OA were also performed.
Statistical Analysis Software (SAS v8.2, SAS institute Inc, Mary, NC, USA) was used for all analyses. This study was approved by the French national committee for data protection (CNIL: Commission Nationale Informatique et Liberté).
Results
The study population consisted of 229 patients. General characteristics, symptom score, duration of exposure before symptoms, lung function tests, and PD20 methacholine were not significantly different between the four occupational health departments.
Main characteristics of the study population are shown in Table 1 and Table 2. Fifty eight percent (58%) of cases were related to a high molecular weight allergen. The three main causes of OA with latency period were flour, persulfate salts and isocyanates and the three major occupations were bakers and pastry makers, hairdressers and health workers (Table 2).
Table 1.
Total n=229 | Mild group n=128 (55.9%) | Moderate-severe group n=101 (44.1%) | P=* | ||
---|---|---|---|---|---|
Gender, n= (%) | Male | 134 (58.5) | 71 (55.5) | 63 (62.4) | NS |
Female | 95 (41.5) | 57 (44.5) | 38 (37.6) | ||
Age (years) | Mean (sd) | 39.0 (11.4) | 38.6 (11.4) | 39.4 (11.4) | NS |
Smoking habits, n= (%) | Non-smoker | 115 (53.0) | 68 (55.7) | 47 (49.5) | 0.06 |
Current smoker | 48 (22.1) | 20 (16.4) | 28 (29.5) | ||
Ex-smoker | 54 (24.9) | 34 (27.9) | 20 (21.0) | ||
(missing data) | 12 | ||||
PA: m (sd) | 13.6 (12.4) | 14.7 (12.8) | 12.5 (11.9) | NS | |
Atopy, n= (%) | No | 114 (49.8) | 70 (54.7) | 44 (43.6) | 0.09 |
Yes | 115 (50.2) | 58 (45.3) | 57 (56.4) | ||
Molecular weight of the suspected allergen, n= (%) | Low | 130 (58.3) | 75 (61.0) | 55 (55.0) | NS |
High | 93 (41.7) | 48 (39.0) | 45 (45.0) | ||
Company size, n= (%) | <50 workers | 143 (62.5) | 73 (57.0) | 70 (69.3) | 0.06 |
≥50 workers | 86 (37.5) | 55 (43.0) | 31 (30.7) | ||
Duration of exposure before symptoms (years) | Mean (sd) | 8.5 (8.7) | 8.4 (8.7) | 8.6 (8.8) | NS |
Duration of symptoms before diagnosis (years) | Mean (sd) | 4.7 (5.7) | 3.4 (4.4) | 6.3 (6.8) | 0.0001 |
Treatment by inhaled corticosteroids at diagnosis, n= (%) | No | 128 (55.9) | 83 (64.8) | 45 (44.6) | 0.02 |
Yes | 101 (44.1) | 45 (35.2) | 56 (55.4) | ||
Symptom score | Mean (sd) | 21.2 (7.1) | 22.4 (7.5) | 19.5 (6.1) | 0.01 |
FEV1 (as % predicted) | Mean (sd) | 88.9 (19.2) | 95.2 (13.5) | 81.0 (22.3) | <0.0001 |
FEF25-75 (as % predicted) | Mean (sd) | 71.7 (28.0) | 80.6 (24.4) | 60.2 (28.4) | <0.0001 |
FEV1/FVC x100 | Mean (sd) | 77.6 (11.4) | 80.9 (7.7) | 73.3 (13.7) | <0.0001 |
PD20 methacholine (μg) | Mean (sd) | 649 (578) | 953 (544) | 158 (69) | <0.0001 |
Chi-square and Student t tests, NS= not significant, FEV1= Forced Expiratory Volume in one second, FEF25-75=Forced Expiratory Flow between 25 and 75 of Forced Vital Capacity (FVC), PD20 methacholine =provocative dose of methacholine causing a 20% fall in FEV1.
Table 2.
Total n=229 (100%) | Mild group n=128 (55.9%) | Moderate- severe group n=101 (44.1%) | |||||
---|---|---|---|---|---|---|---|
n = | % | n = | % | n = | % | ||
Causes | flour | 55 | 24,0 | 29 | 22.7 | 26 | 25.7 |
persulfate salts | 33 | 14.4 | 18 | 14.1 | 15 | 14.9 | |
isocyanates | 28 | 12.2 | 14 | 10.9 | 14 | 13.9 | |
latex | 16 | 7,0 | 9 | 7,0 | 7 | 6.9 | |
amines | 15 | 6.6 | 10 | 7.8 | 5 | 5,0 | |
quaternary ammoniums | 14 | 6.1 | 11 | 8.6 | 3 | 3,0 | |
aldehydes | 13 | 5.7 | 10 | 7.8 | 3 | 3,0 | |
mites | 11 | 4.8 | 4 | 3.1 | 7 | 6.9 | |
resins & glues (isocyanates excluded) | 8 | 3.5 | 3 | 2.3 | 5 | 5,0 | |
laboratory animals | 5 | 2.2 | 3 | 2.3 | 2 | 2,0 | |
pollens | 5 | 2.2 | 3 | 2.3 | 2 | 2,0 | |
others | 26 | 11.3 | 14 | 11.1 | 12 | 11.7 | |
Jobs | bakers and pastry makers | 53 | 23.1 | 28 | 21.9 | 25 | 24.8 |
hairdressers | 37 | 16.2 | 21 | 16.4 | 16 | 15.8 | |
health workers | 24 | 10.5 | 14 | 10.9 | 10 | 9.9 | |
cleaners | 22 | 9.6 | 13 | 10.2 | 9 | 8.9 | |
painters (mainly spray painters) | 13 | 5.7 | 6 | 4.7 | 7 | 6.9 | |
laboratory technicians | 6 | 2.6 | 4 | 3.1 | 2 | 2,0 | |
wood workers | 7 | 3.1 | 3 | 2.3 | 4 | 4,0 | |
welders | 5 | 2.2 | 2 | 1.6 | 3 | 3,0 | |
others | 62 | 27,0 | 37 | 28.9 | 25 | 24.7 |
Forty-four percent (44%) of subjects were classified in the moderate-severe group and 56% in the mild group. The two groups were not significantly different in terms of gender, age, smoking habits, atopy, molecular weight of the suspected causal allergen, and duration of exposure before symptoms (Table 1) and no differences were observed between subjects with definite OA and subjects with probable OA (Table 3).
Table 3.
Total n=229 | Probable OA n=167 (72.9%) | Definite OA n=62 (27.1%) | p=* | ||
---|---|---|---|---|---|
Gender, n= (%) | Male | 134 (58.5) | 96 (57.5) | 38 (61.3) | NS |
Female | 95 (41.5) | 71 (42.5) | 24 (38.7) | ||
Age (years) | Mean (sd) | 39.0 (11.4) | 38.9 (11.4) | 39.1 (11.5) | NS |
Smoking habits, n= (%) | Non-smoker | 115 (53.0) | 87 (56.1) | 28 (45.2) | NS |
Current smoker | 48 (22.1) | 33 (21.3) | 15 (24.2) | ||
Ex-smoker | 54 (24.9) | 35 (22.6) | 19 (30.7) | ||
(missing data) | 12 | ||||
PA: m (sd) | 13.6 (12.4) | 12.8 (12.8) | 15.3 (11.5) | NS | |
Atopy, n= (%) | No | 114 (49.8) | 80 (47.9) | 34 (54.8) | NS |
Yes | 115 (50.2) | 87 (52.1) | 28 (45.2) | NS | |
Molecular weight of the suspected allergen, n= (%) | Low | 130 (58.3) | 91 (55.8) | 39 (65.0) | NS |
High | 93 (41.7) | 72 (44.2) | 21 (35.0) | ||
Company size, n= (%) | <50 workers | 143 (62.5) | 107 (64.1) | 36 (58.1) | NS |
≥50 workers | 86 (37.5) | 60 (35.9) | 26 (41.9) | ||
Duration of exposure before symptoms (years) | Mean (sd) | 8.5 (8.7) | 8.2 (8.2) | 9.2 (10.0) | NS |
Duration of symptoms before diagnosis (years) | Mean (sd) | 4.7 (5.7) | 4.8 (5.9) | 4.4 (5.2) | NS |
Treatment by inhaled corticosteroids at diagnosis, n= (%) | No | 128 (55.9) | 95 (56.9) | 33 (53.2) | NS |
Yes | 101 (44.1) | 72 (43.1) | 29 (46.8) | ||
Symptom score | Mean (sd) | 21.2 (7.1) | 21.3 (7.7) | 20.9 (5.7) | NS |
FEV1 (as % predicted) | Mean (sd) | 88.9 (19.2) | 89.0 (19.7) | 88.7 (18.0) | NS |
FEF25-75 (as % predicted) | Mean (sd) | 71.7 (28.0) | 73.1 (28.9) | 67.8 (25.5) | NS |
FEV1/FVC x100 | Mean (sd) | 77.6 (11.4) | 77.6 (12.1) | 77.6 (9.0) | NS |
PD20 methacholine (μg) | Mean (sd) | 649 (578) | 647 (576) | 654 (589) | NS |
Severity group | Mild group | 167 (72.9) | 93 (55.7) | 35 (56.5) | NS |
Moderate-severe group | 62 (27.1) | 74 (44.3) | 27 (43.5) | ||
Positive immunologic testing | No | 55 (37.7) | 41 (36.9) | 14 (40.0) | NS |
IgE or skin-prick test | 91 (62.3) | 70 (63.1) | 21 (60.0) | ||
(missing data) | 83 |
Chi-square and Student t tests, NS= not significant FEV1= Forced Expiratory Volume in one second, FEF25-75=Forced Expiratory Flow between 25 and 75 of Forced Vital Capacity (FVC), PD20 methacholine =provocative dose of methacholine causing a 20% fall in FEV1.
Duration of symptoms before diagnosis was significantly higher in the moderate-severe group (6.3 years ± 6.8 versus 3.4 ± 4.4 years, p<0.001). Symptom score was lower and treatment by inhaled corticosteroids at diagnosis was more frequent in this group (Table 1).
No significant difference considering severity parameters (severity group, symptom score, FEV1 and PD20) was observed between subjects who ended occupational exposure over than one month at the time of the functional tests (n=25), ones over than one week patients (less than one month, n=18), and ones less than one week (ie still exposed, n=114; 72 missing data).
On multivariate analysis, factors associated with the risk of having moderate-severe OA were duration of symptoms before diagnosis, treatment by inhaled corticosteroids at diagnosis, and symptom score (Table 4). Logistic models performed in the definite OA and probable OA subgroups of OA patients gave similar results. Duration of symptoms before diagnosis was significantly associated in both subgroups with the risks of having moderate-severe OA (aOR=1.16 [1.01–1.33] in subjects with definite OA and aOR=1.12 [1.04–1.21] in those with probable OA).
Table 4.
aOR [95% CI] (for moderate-severe OA) | p | ||||
---|---|---|---|---|---|
Gender | Male | 1 | NS | ||
Female | 0.85 [0.46–1.57] | ||||
Age (years) | Mean (sd) | 0.99 [0.96–1.02] | NS | ||
Smoker (present and ex) | No | 1 | NS | ||
Yes | 1.09 [0.60–2.00] | ||||
Atopy | No | 1 | NS | ||
Yes | 1.39 [0.73–2.66] | ||||
Molecular weight of causal allergen | Low | 1 | NS | ||
High | 0.82 [0.42–1.60] | ||||
Duration of exposure before symptoms (years) | Mean (sd) | 1.01 [0.97–1.05] | NS | ||
Duration of symptoms before diagnosis (years) | Mean (sd) | 1.12 [1.05–1.19] | 0.0004 | ||
Treatment by inhaled corticosteroids at diagnosis | No | 1 | 0.04 | ||
Yes | 1.83 [1.01–3.33] | ||||
Symptom score | Mean (sd) | 0.93 [0.89–0.98] | 0.01 |
NS= not significant
Discussion
In this study, the only parameter clearly related with severity of OA with latency period at diagnosis was the duration of symptoms before diagnosis. No correlation was found with age, duration of exposure before symptoms, molecular weight of the causal allergen, or atopy.
One strength of this study is the large number of subjects. The possibility that cases of OA with latency period in the study population might be nonrepresentative of cases in the general population cannot be ruled out, as a higher severity seems plausible due to the recruitment by hospital departments. However, the distribution of the subjects in terms of age, sex ratio, causal allergens, and jobs is quite similar to that observed in the French ONAP surveillance programme of OA (10).
Two other limitations, concerning the accuracy of the diagnosis of OA and the severity assessments, should also be discussed. Specific inhalation challenge tests, which are often considered as the gold standard for the diagnosis of OA (11,12), were performed in only 8% (n=19) of cases in our study. However, standardized methods are lacking for many occupational agents, and specific inhalation challenge tests are accessible in only a few specialized centres (13–16). Furthermore, they are potentially dangerous and, above all, their sensitivity is far from 100%, with false-negatives corresponding to wrong allergens or insufficient concentrations of test allergens, or a long time interval since end of exposure (15,17). Serial measurements of PEF rates, FEV1, or nonspecific bronchial hyperresponsiveness have been proposed as a surrogate for specific inhalation challenge tests (18,19). Serial PEF has been demonstrated to have a high sensitivity (from 70 to 93%) and specificity (from 70 to 100%) for the diagnosis of OA, compared with specific inhalation test or combination tests (12,20–26). Such tests were performed in 21% (n=48) of cases in our study. For the remaining patients, we cannot exclude that some cases considered to be OA cases actually corresponded to work-aggravated asthma. However, in the probable OA subgroup, sensitization to an occupational allergen was demonstrated by positive skin-prick tests or RAST in 31% other patients (n=70). Moreover, the results of multivariate analysis limited to subjects with probable OA did not differ from those of multivariate analysis limited to subjects with definite OA.
The severity assessment is also a matter of debate, as the best way to assess the severity of asthma is still under discussion. Several approaches have been proposed. The UK consensus panel defines severity in terms of the treatment needed to achieve asthma management goals (27). Other methods are based on assessment of respiratory symptoms and lung function measurements (28). Severity scores combining symptom scores and treatment, as suggested in the Global Initiative for Asthma (GINA) guidelines (29), have also been used for epidemiologic purposes (30). OA severity was classified by Moscato et al. on the basis of symptom frequency, activity limitation, PEF rates, FEV1 values, and PEF variability (7). In this study, we chose to use a two-level classification of OA severity, based on FEV1 and PD20 methacholine values, inspired from proposals for impairment evaluation in the USA, Quebec province of Canada, and France (31–33). This choice was motivated by the high prognostic value of the level of nonspecific bronchial hyperresponsiveness (5,34). Two recent studies have shown that PD20 or PC20 (provocative concentration causing a 20% fall in FEV1) methacholine at diagnosis seems to be the best predictor of airway responsiveness at follow-up (35,36). The symptom score was not used in the two-level classification of OA severity in order to facilitate objective measurements. However, it was closely correlated with severity on multivariate analysis. Inhaled corticosteroid therapy at diagnosis was also correlated with severity, as treated patients had more severe disease.
In our study, age was not correlated with severity, confirming previous results from Moscato et al. (7). The role of the molecular weight of the causal allergen in the severity of OA at diagnosis or on outcome has been poorly investigated (37). In a prospective study, Perfetti et al. found a less favorable outcome when the causal agent was a high molecular weight allergen (38). However, a recent survey from the same team did not confirm these findings (36). In our study, the distribution of causal allergens according to their molecular weight did not differ between the two groups, and molecular weight did not appear to be a factor associated with severity on multivariate analysis.
Atopy, which is known to increase the likelihood of sensitization to high molecular weight agents, was not correlated with asthma severity, in accordance with previous studies (7,30).
Duration of symptoms before diagnosis is closely correlated with duration of exposure after the first asthma symptoms. Unlike Moscato et al. (7), we found a significant positive association between the duration of symptoms before diagnosis and severity of OA at diagnosis. It has also been demonstrated that a long duration of symptoms before diagnosis could be a determinant of an unfavorable outcome from different causes of OA, after avoidance of exposure (36,38–40).
In conclusion, severity of OA with latency period at diagnosis was not associated with age, smoking habits, atopy, or molecular weight of causal allergen. The only relevant factor associated with severity was the duration of symptoms before diagnosis. This finding, in conjunction with the fact that a long duration of symptoms before diagnosis is also an important adverse prognostic factor, emphasizes the need for early diagnosis and avoidance of exposure.
Acknowledgments
This program was supported by grants from the French Health Insurance “Caisse Nationale d’Assurance Maladie des Travailleurs salaries”. We express our gratitude to all health professionals of the occupational health departments and physiology departments who took part in this study.
Sources of funding. This program was supported by grants from French Health Insurance “Caisse Nationale d’Assurance Maladie des Travailleurs salaries”.
Abbreviations
- OA
occupational asthma
- FEV1
Forced Expiratory Volume in one second
- FEF25-75
Forced Expiratory Flow between 25 and 75 of Forced Vital Capacity (FVC)
- PD20 methacholine
provocative dose of methacholine causing a 20% fall in FEV1
- SD
standard deviation
- aOR
adjusted Odds ratio
- CI
confidence interval
- NS
not significant
Footnotes
No conflict of interest of any kind.
References
- 1.Vandenplas O, Malo JL. Definitions and types of work-related asthma: a nosological approach. Eur Respir J. 2003;21:706–712. doi: 10.1183/09031936.03.00113303. [DOI] [PubMed] [Google Scholar]
- 2.Chan–Yeung M. Assessment of asthma in the workplace. ACCP consensus statement. American College of Chest Physicians. Chest. 1995;108:1084–1117. doi: 10.1378/chest.108.4.1084. [DOI] [PubMed] [Google Scholar]
- 3.Blanc PD, Toren K. How much adult asthma can be attributed to occupational factors? Am J Med. 1999;107:580–587. doi: 10.1016/s0002-9343(99)00307-1. [DOI] [PubMed] [Google Scholar]
- 4.Balmes J, Becklake M, Blanc P, et al. American Thoracic Society Statement: Occupational contribution to the burden of airway disease. Am J Respir Crit Care Med. 2003;167:787–797. doi: 10.1164/rccm.167.5.787. [DOI] [PubMed] [Google Scholar]
- 5.Paggiaro PL, Vagaggini B, Bacci E, et al. Prognosis of occupational asthma. Eur Respir J. 1994;7:761–767. doi: 10.1183/09031936.94.07040761. [DOI] [PubMed] [Google Scholar]
- 6.Ameille J, Pairon JC, Bayeux MC, et al. Consequences of occupational asthma on employment and financial status: a follow-up study. Eur Respir J. 1997;10:55–58. doi: 10.1183/09031936.97.10010055. [DOI] [PubMed] [Google Scholar]
- 7.Moscato G, Dellabianca A, Maestrelli P, et al. Features and severity of occupational asthma upon diagnosis: an Italian multicentric case review. Allergy. 2002;57:236–242. doi: 10.1034/j.1398-9995.2002.1o3337.x. [DOI] [PubMed] [Google Scholar]
- 8.Brooks SM, Weiss MA, Bernstein IL. Reactive airways dysfunction syndrome (RADS). Persistent asthma syndrome after high level irritant exposures. Chest. 1985;88:376–384. doi: 10.1378/chest.88.3.376. [DOI] [PubMed] [Google Scholar]
- 9.Crapo RO, Casaburi R, Coates AL, et al. Guidelines for methacholine and exercise challenge testing-1999. This official statement of the American Thoracic Society was adopted by the ATS Board of Directors, July 1999. Am J Respir Crit Care Med. 2000;161:309–329. doi: 10.1164/ajrccm.161.1.ats11-99. [DOI] [PubMed] [Google Scholar]
- 10.Ameille J, Pauli G, Calastreng-Crinquand A, et al. Reported incidence of occupational asthma in France, 1996–99: the ONAP programme. Occup Environ Med. 2003;60:136–141. doi: 10.1136/oem.60.2.136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Vandenplas O, Malo JL. Inhalation challenges with agents causing occupational asthma. Eur Respir J. 1997;10:2612–2629. doi: 10.1183/09031936.97.10112612. [DOI] [PubMed] [Google Scholar]
- 12.Nicholson PJ, Cullinan P, Taylor AJ, et al. Evidence based guidelines for the prevention, identification, and management of occupational asthma. Occup Environ Med. 2005;62:290–299. doi: 10.1136/oem.2004.016287. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Mapp CE, Boschetto P, Maestrelli P, et al. Occupational asthma. Am J Respir Crit Care Med. 2005;172:280–305. doi: 10.1164/rccm.200311-1575SO. [DOI] [PubMed] [Google Scholar]
- 14.Ortega HG, Weissman DN, Carter DL, et al. Use of specific inhalation challenge in the evaluation of workers at risk for occupational asthma: a survey of pulmonary, allergy, and occupational medicine residency training programs in the United States and Canada. Chest. 2002;121:1323–1328. doi: 10.1378/chest.121.4.1323. [DOI] [PubMed] [Google Scholar]
- 15.Pauli G, Bessot JC, Vervloet D, et al. The need for and limits of diagnostic tests for professional asthma. Rev Mal Respir. 2002;19:289–291. [PubMed] [Google Scholar]
- 16.Choudat D, Fabries JF, Martin JC, et al. Bronchial challenge with flour: early response is dependent on the dose of activated allergen inhaled. Eur Respir J. 2002;20:409–416. doi: 10.1183/09031936.02.00237502. [DOI] [PubMed] [Google Scholar]
- 17.Banks DE. Use of the specific challenge in the diagnosis of occupational asthma: a ‘gold standard’ test or a test not used in current practice of occupational asthma? Curr Opin Allergy Clin Immunol. 2003;3:101–107. doi: 10.1097/00130832-200304000-00003. [DOI] [PubMed] [Google Scholar]
- 18.Moscato G, Malo JL, Bernstein D. Diagnosing occupational asthma: how, how much, how far? Eur Respir J. 2003;21:879–885. doi: 10.1183/09031936.03.00000403. [DOI] [PubMed] [Google Scholar]
- 19.Burge PS, Moscato G, Johnson AR, et al. Physiological assessment: serial measurements of lung function and bronchial responsiveness. In: Bernstein D, editor. Asthma in the workplace. 3. New York: Taylor and Francis; 2006. p. 199. [Google Scholar]
- 20.Cote J, Kennedy S, Chan-Yeung M. Sensitivity and specificity of PC20 and peak expiratory flow rate in cedar asthma. J Allergy Clin Immunol. 1990;85:592–598. doi: 10.1016/0091-6749(90)90098-o. [DOI] [PubMed] [Google Scholar]
- 21.Liss GM, Tarlo SM. Peak expiratory flow rates in possible occupational asthma. Chest. 1991;100:63–69. doi: 10.1378/chest.100.1.63. [DOI] [PubMed] [Google Scholar]
- 22.Cote J, Kennedy S, Chan-Yeung M. Quantitative versus qualitative analysis of peak expiratory flow in occupational asthma. Thorax. 1993;48:48–51. doi: 10.1136/thx.48.1.48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Perrin B, Lagier F, L’Archeveque J, et al. Occupational asthma: validity of monitoring of peak expiratory flow rates and non-allergic bronchial responsiveness as compared to specific inhalation challenge. Eur Respir J. 1992;5:40–48. [PubMed] [Google Scholar]
- 24.Malo JL, Cote J, Cartier A, et al. How many times per day should peak expiratory flow rates be assessed when investigating occupational asthma? Thorax. 1993;48:1211–1217. doi: 10.1136/thx.48.12.1211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Leroyer C, Perfetti L, Trudeau C, et al. Comparison of serial monitoring of peak expiratory flow and FEV1 in the diagnosis of occupational asthma. Am J Respir Crit Care Med. 1998;158:827–832. doi: 10.1164/ajrccm.158.3.9707093. [DOI] [PubMed] [Google Scholar]
- 26.Anees W, Gannon PF, Huggins V, et al. Effect of peak expiratory flow data quantity on diagnostic sensitivity and specificity in occupational asthma. Eur Respir J. 2004;23:730–734. doi: 10.1183/09031936.04.00027304. [DOI] [PubMed] [Google Scholar]
- 27.The British Guidelines on Asthma Management 1995 Review and Position Statement. Thorax. 1997;52:1S–20. [Google Scholar]
- 28.Colice GL, Burgt JV, Song J, et al. Categorizing asthma severity. Am J Respir Crit Care Med. 1999;160:1962–1967. doi: 10.1164/ajrccm.160.6.9902112. [DOI] [PubMed] [Google Scholar]
- 29.National Heart, L. a. B. I. Global strategy for asthma management and prevention. 02-95-3659. Bethesda, MD: NIH Publication; 2002. [Google Scholar]
- 30.Le Moual N, Siroux V, Pin I, et al. Asthma severity and exposure to occupational asthmogens. Am J Respir Crit Care Med. 2005;172:440–445. doi: 10.1164/rccm.200501-111OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.American Thoracic Society. Medical Section of the American Lung Association: Guidelines for the evaluation of impairment/disability in patients with asthma. Am Rev Respir Dis. 1993;147:1056–1061. doi: 10.1164/ajrccm/147.4.1056. [DOI] [PubMed] [Google Scholar]
- 32.Malo JL, Dewitte JD, Cartier A, et al. The Quebec system of indemnification for occupational asthma. Description, efficacy, and costs. Rev Mal Respir. 1993;10:313–323. [PubMed] [Google Scholar]
- 33.Ameille J, Choudat D, Dewitte JD, et al. Occupational asthma. Recognition and compensation. Rev Mal Respir. 2000;17:1025–1029. [Google Scholar]
- 34.Ameille J, Descatha A. Outcome of occupational asthma. Curr Opin Allergy Clin Immunol. 2005;5:125–128. doi: 10.1097/01.all.0000162303.59363.b4. [DOI] [PubMed] [Google Scholar]
- 35.Padoan M, Pozzato V, Simoni M, et al. Long-term follow-up of toluene diisocyanate-induced asthma. Eur Respir J. 2003;21:637–640. doi: 10.1183/09031936.03.00060703. [DOI] [PubMed] [Google Scholar]
- 36.Maghni K, Lemiere C, Ghezzo H, et al. Airway inflammation after cessation of exposure to gents causing occupational asthma. Am J Respir Crit Care Med. 2004;169:367–372. doi: 10.1164/rccm.200309-1238OC. [DOI] [PubMed] [Google Scholar]
- 37.Descatha A, Le Guillou FR, Cohen-Jonathan AM, et al. La sévérité de l’asthme rofessionnel est-elle liée au poids moléculaire de l’allergène? [Is the severity of occupational asthma related to the molecular weight of the allergen?] Rev Mal Respir. 2006;23:135–40. doi: 10.1016/s0761-8425(06)71476-0. [DOI] [PubMed] [Google Scholar]
- 38.Perfetti L, Cartier A, Ghezzo H, et al. Follow-up of occupational asthma after removal from or iminution of exposure to the responsible agent: relevance of the length of the interval from cessation of exposure. Chest. 1998;114:398–403. doi: 10.1378/chest.114.2.398. [DOI] [PubMed] [Google Scholar]
- 39.Chan-Yeung M, Lam S, Koener S. Clinical features and natural history of occupational sthma due to western red cedar (Thuja plicata) Am J Med. 1982;72:411–415. doi: 10.1016/0002-9343(82)90497-1. [DOI] [PubMed] [Google Scholar]
- 40.Pisati G, Baruffini A, Zedda S. Toluene diisocyanate induced asthma: outcome according to persistence or cessation of exposure. Br J Ind Med. 1993;50:60–64. doi: 10.1136/oem.50.1.60. [DOI] [PMC free article] [PubMed] [Google Scholar]