3 research outputs found
Exhaled nitric oxide in spray painters exposed to isocyanates : Effect modification by atopy and smoking
Background: Isocyanate asthma is one of the most frequently identified forms of occupational asthma in industrialised countries. The underlying mechanisms have not been clarified. There is only limited information about the relationship between exhaled nitric oxide (eNO) and occupational exposure to isocyanates and asthma. Objectives: To investigate the association between isocyanate exposure and eNO levels in isocyanate-exposed workers and to elucidate whether eNO acts as a marker of airway inflammation controlling for smoking and atopy in an industry-wide survey. Methods: Information on estimated personal isocyanate exposure, measured eNO levels, health effects and sensitisation were analysed in 229 workers from a cross-sectional study. Univariate and multiple regression analyses were used to explore the exposure-response relationships between isocyanate exposure and eNO, stratified by smoking and atopy. Results: A marginally signi ficant exposure-response relationship was found between isocyanate exposure and eNO in atopic, non-smokers (p=0.054). eNO was significantly associated with atopy and smoking, bronchial hyper-responsiveness (BHR), work-related conjunctivitis and rhinitis after adjustment for age, gender, atopy and smoking (p<0.05). A borderline significant association was found between eNO and asthma-like symptoms after adjustment for age, gender, atopy and current smoking (p=0.055). In a small group of isocyanate-exposed workers with positive serum-specific immunoglobulin E (IgE) antibodies to hexamethylene diisocyanate (HDI), elevated eNO levels were clearly exposure related. eNO was associated with the positive speci fic IgG antibodies to HDI in non-atopic, non-smokers ( p=0.03). Conclusions Increased eNO levels may indicate increased airway inflammation in atopic, non-smokers exposed to isocyanates especially at higher levels of isocyanate exposure
Predicting occupational asthma and rhinitis in bakery workers referred for clinical evaluation
BACKGROUND: Occupational allergic diseases are a major problem in some workplaces like in the baking industry. Diagnostic rules have been used in surveillance but not yet in the occupational respiratory clinic. OBJECTIVE: To develop diagnostic models predicting baker's asthma and rhinitis among bakery workers at high risk of sensitisation to bakery allergens referred to a specialised clinic. METHODS: As part of a medical surveillance programme, clinical evaluation was performed on 436 referred Dutch bakery workers at high risk for sensitisation to bakery allergens. Multivariable logistic regression analyses were developed to identify the predictors of onset of baker's asthma and rhinitis using a self-administered questionnaire and compared using a structured medical history. Performance of models was assessed by discrimination (area under the receiver operating characteristics curve) and calibration (Hosmer-Lemeshow test). Internal validity of the models was assessed by a bootstrapping procedure. RESULTS: The prediction models included the predictors of work-related upper and lower respiratory symptoms, the presence of allergy and allergic symptoms, use of medication (last year), type of job, type of shift and working years with symptoms (≥10 years). The developed models derived from both self-administered questionnaire and the medical history showed a relatively good discrimination and calibration. The internal validity showed that the models developed had satisfactory discrimination. To improve calibrations of models, shrinkage factors were applied to model coefficients. CONCLUSION: The probability of allergic asthma and rhinitis in referred bakers could be estimated by diagnostic models based on both a self-administered questionnaire and by taking a structured medical history
Predicting occupational asthma and rhinitis in bakery workers referred for clinical evaluation
BACKGROUND: Occupational allergic diseases are a major problem in some workplaces like in the baking industry. Diagnostic rules have been used in surveillance but not yet in the occupational respiratory clinic. OBJECTIVE: To develop diagnostic models predicting baker's asthma and rhinitis among bakery workers at high risk of sensitisation to bakery allergens referred to a specialised clinic. METHODS: As part of a medical surveillance programme, clinical evaluation was performed on 436 referred Dutch bakery workers at high risk for sensitisation to bakery allergens. Multivariable logistic regression analyses were developed to identify the predictors of onset of baker's asthma and rhinitis using a self-administered questionnaire and compared using a structured medical history. Performance of models was assessed by discrimination (area under the receiver operating characteristics curve) and calibration (Hosmer-Lemeshow test). Internal validity of the models was assessed by a bootstrapping procedure. RESULTS: The prediction models included the predictors of work-related upper and lower respiratory symptoms, the presence of allergy and allergic symptoms, use of medication (last year), type of job, type of shift and working years with symptoms (≥10 years). The developed models derived from both self-administered questionnaire and the medical history showed a relatively good discrimination and calibration. The internal validity showed that the models developed had satisfactory discrimination. To improve calibrations of models, shrinkage factors were applied to model coefficients. CONCLUSION: The probability of allergic asthma and rhinitis in referred bakers could be estimated by diagnostic models based on both a self-administered questionnaire and by taking a structured medical history