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Showing posts with label Exposure. Show all posts
Showing posts with label Exposure. Show all posts

Friday, November 16, 2012

Biomonitoring Hexamethylene Diisocyanate (HDI) Exposure Based on Serum Levels of HDI-Specific IgG

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Adam V. Wisnewski1,*, Meredith H. Stowe1, Abby Nerlinger1, Paul Opare-addo1, David Decamp2, Christopher R. Kleinsmith3 and Carrie A. Redlich1
1Department of Internal Medicine, Yale Occupational and Environmental Medicine Program, Yale University School of Medicine, New Haven, CT 06520-8057, USA
2Department of Occupational Medicine, US Air Force School of Aerospace Medicine, Wright–Patterson Air Force Base, OH 45433, USA
375 AMDS/SGPO Hill Air Force Base, UT 84056, USA ?* Author to whom correspondence should be addressed. Tel: (203)-737-2544; fax: (203)-785-3826; e-mail: adam.wisnewski{at}yale.edu Received December 28, 2011. Accepted February 24, 2012. Objectives: Isocyanate chemicals essential for polyurethane production are widely used industrially, and are increasingly found in consumer products. Asthma and other adverse health effects of isocyanates are well-documented and exposure surveillance is crucial to disease prevention. Hexamethylene diisocyanate (HDI)-specific serum immunoglobulin G (IgG) was evaluated as an exposure biomarker among workers at a US Air Force Air Logistics Center, which includes a large aircraft maintenance facility.

Methods: HDI-specific IgG (HDI-IgG) titers in serum samples (n = 74) were measured using an enzyme-linked immunosorbent assay based upon the biuret form of HDI conjugated to human albumin. Information on personal protective equipment (PPE), work location/tasks, smoking, asthma history, basic demographics, and HDI skin exposure was obtained through questionnaire.

Results: HDI-specific serum IgG levels were elevated in n = 17 (23%) of the workers studied. The prevalence and/or end-titer of the HDI-IgG was significantly (P < 0.05) associated with specific job titles, self-reported skin exposure, night-shift work, and respirator use, but not atopy, asthma, or other demographic information. The highest titers were localized to specific worksites (C-130 painting), while other worksites (generator painting) had no or few workers with detectable HDI-IgG.

Conclusions: HDI-specific immune responses (IgG) provide a practical biomarker to aid in exposure surveillance and ongoing industrial hygiene efforts. The strategy may supplement current air sampling approaches, which do not assess exposures via skin, or variability in PPE use or effectiveness. The approach may also be applicable to evaluating isocyanate exposures in other settings, and may extend to other chemical allergens.

© The Author 2012. Published by Oxford University Press on behalf of the British Occupational Hygiene Society [2012]This ArticleAnn Occup Hyg (2012) 56 (8): 901-910. doi: 10.1093/annhyg/mes024 First published online: March 26, 2012 Current IssueThe Annals of Occupational Hygiene

Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.


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Exposure to Brake Dust and Malignant Mesothelioma: A Study of 10 Cases with Mineral Fiber Analyses

Kelly J. Butnor1, Thomas A. Sporn2* and Victor L. Roggli2
1 University of Vermont Medical Center, Department of Pathology, Burlington, VT 05405, USA;
2 Duke University Medical Center, Department of Pathology, Box 3712, Durham, NC 27710, USA ogden{at}ogs.org.uk Ann. Occup. Hyg., Vol. 47, No. 4, pp. 325–330, 2003 A recent paper by Marsh et al. (2011) has corrected some …


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Modelling Occupational Inhalation Exposure to Concentration Peaks of Chemicals and Associated Health Risk Assessment

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Renaud Persoons1,2,*, Anne Maitre1,2 and Dominique J. Bicout1,3
1Environment and Health Prediction in Population Unit, Techniques de l'Ingénierie Médicale et de la Complexité (TIMC) Laboratory Unité Mixte de Recherche (UMR) Centre National de la Recherche Scientifique (CNRS) 5525 Joseph Fourier University, Grenoble, France
2Occupational and Environmental Toxicology Unit, Biochemistry Toxicology Pharmacology Department, Biology and Pathology Institute, Grenoble Teaching Hospital, 38043 Grenoble, France
3Biomathematics and Epidemiology Unit, VetAgro Sup, Veterinary Campus of Lyon, 69280 Marcy l'Etoile, France ?* Author to whom correspondence should be addressed. Tel: +33 476637506; fax: +33 476637502; e-mail: RPersoons{at}chu-grenoble.fr Received July 1, 2011. Accepted February 10, 2012. Objectives: The aims of this study were to estimate inhalation exposure to chemicals and the resulting acute health risks for working scenarios characterized by successive peaks of pollutant concentrations.

Methods: A stochastic two-zone model combining a time-varying emission function and field-derived probabilistic distributed input parameter was used to predict both instantaneous and 15-min averaged pollutant concentrations during the decanting operations performed in a pathology laboratory. The location of the workers was taken into account in the model for computing probability distributions of inhalation exposures and for subsequently characterizing hazard quotients (HQ) for health risk purposes. The model was assessed by comparison with repeated individual monitoring performed on the workers during the same tasks.

Results: Modelled inhalation exposure profiles revealed 15-min average concentrations of 1.7 and 208 mg m- 3 for formaldehyde (FA) and toluene (TOL), respectively. The individual monitoring performed showed similar average concentrations, with 1.2 and 175 mg m- 3 for FA and TOL. No more than three to five successive FA concentration peaks were generally sufficient in the modelling exercise to provide 15-min estimated exposures exceeding short-term exposure limits (STEL). Modelled HQ higher than unity and STEL exceedance probabilities higher than 0.5 were found for FA, whereas estimated TOL health risks were notably lower according to high exposure limits. Estimated inhalation exposure distributions frequently ranged over one order of magnitude for the two pollutants, reflecting both the natural exposure variability and the uncertainty of some of the two-zone model input parameters.

Conclusions: These findings indicate that the developed approach may be useful for modelling occupational exposures and acute health risks related to chemicals in situations involving time-varying emission sources. Modelled exposure distributions may also be used within Bayesian decision analysis frameworks for making exposure judgements and refining risk management measures.

© The Author 2012. Published by Oxford University Press on behalf of the British Occupational Hygiene Society [2012]This ArticleAnn Occup Hyg (2012) 56 (8): 934-947. doi: 10.1093/annhyg/mes021 First published online: May 4, 2012 Current IssueThe Annals of Occupational Hygiene

Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.


View the original article here