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1.
Int J Hyg Environ Health ; 213(1): 44-51, 2010 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-19783208

RESUMO

The objective of this analysis was the estimation of the cancer risks of asbestos and asbestosis in a surveillance cohort of high-exposed German workers. A group of 576 asbestos workers was selected for high-resolution computer tomography of the chest in 1993-1997. A mortality follow-up was conducted through 2007. Standardised mortality ratios (SMRs) were calculated and Poisson regression was performed to assess mesothelioma risks. A high risk was observed for pleural mesothelioma (SMR 28.10, 95% CI 15.73-46.36) that decreased after cessation of exposure (RR 0.1; 95% CI 0.0-0.6 for > or =30 vs. <30 years after last exposure). Asbestosis was a significant risk factor for mesothelioma (RR 6.0, 95% CI 2.4-14.7). Mesothelioma mortality was still in excess in former asbestos workers although decreasing after cessation of exposure. Fibrosis was associated with subsequent malignancy.


Assuntos
Amianto/efeitos adversos , Asbestose/mortalidade , Neoplasias Pulmonares/mortalidade , Mesotelioma/mortalidade , Exposição Ocupacional , Neoplasias Pleurais/mortalidade , Idoso , Asbestose/complicações , Causas de Morte , Exposição Ambiental , Fibrose/complicações , Fibrose/etiologia , Alemanha/epidemiologia , Humanos , Exposição por Inalação , Neoplasias Pulmonares/etiologia , Masculino , Mesotelioma/etiologia , Pessoa de Meia-Idade , Neoplasias Pleurais/etiologia , Análise de Regressão , Medição de Risco
2.
Int Arch Occup Environ Health ; 83(1): 39-46, 2010 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-19618201

RESUMO

PURPOSE: To compare inter-reader variability of chest X-ray and high resolution computed tomography (HRCT) scans of formerly asbestos-exposed employees over a 4-year period. METHODS: In this longitudinal study, 636 formerly asbestos-exposed persons were annually examined with chest radiographs and HRCT scans. Ten observer pairs classified the radiographs and HRCT scans, using the ILO classification and a custom-made CT classification. Inter-observer variability was calculated using the kappa-coefficient. RESULTS: Despite all expectations, HRCT inter-reader variability according to asbestos-related lung or pleura alterations at an early stage did not turn out to be better than X-ray inter-reader variability. Substantial inter-observer agreement was found for pleural calcifications (kappa(X-ray) = 0.63; kappa(CT) = 0.64). Averaging over kappa led to fair inter-observer agreement of both methods (kappa(X-ray) = 0.36; kappa(CT) = 0.34). CONCLUSIONS: High resolution computed tomography scans are superior to X-rays in detecting lung alterations after asbestos exposure and are supposedly easier to interpret. Nevertheless, inter-observer variability did not differ between the two methods in this study. This was probably due to the only discrete asbestos-related lung or pleura alterations of this cohort and to the unfamiliar CT classification sheet, which was revised on the basis of the presented results.


Assuntos
Poluentes Ocupacionais do Ar/toxicidade , Amianto/toxicidade , Pulmão/diagnóstico por imagem , Exposição Ocupacional/efeitos adversos , Pleura/diagnóstico por imagem , Idoso , Diagnóstico Precoce , Feminino , Humanos , Estudos Longitudinais , Pulmão/patologia , Masculino , Pessoa de Meia-Idade , Variações Dependentes do Observador , Pleura/patologia , Fatores de Risco , Fatores de Tempo , Tomografia Computadorizada por Raios X
3.
Chest ; 125(2): 731-6, 2004 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-14769758

RESUMO

OBJECTIVES: To describe lung function in correlation with information on exposure to dust and fibers in soft tissue paper-producing factories in Germany. METHODS: Ambient monitoring was performed for inhalable, respirable dust and fibers in nine soft tissue paper-producing factories. In a study group of 1,047 workers (189 control subjects, 240 workers with moderate exposure, and 618 workers with high exposure), spirometry (FVC, FEV(1)) was performed. Information on occupational history, duration of exposure, workshop within the company, former occupational exposures, and smoking habits were collected. By employing multiple linear regression modeling, the potentially confounding effects of age, sex, body mass index, smoking habits, and factory were incorporated into the analysis of FVC, FEV(1), and FEV(1) in percent of FVC (FEV(1)%FVC). By employing a logistic regression model, odds ratios were calculated for FVC < 80% predicted in different exposure subgroups. RESULTS: The mean concentrations for inhalable, respirable, and fibrous dusts were 12.4 mg/m(3), 0.28 mg/m(3), and 420,000 fibers per cubic meter. With relation to cumulative dust and fiber exposure, a decrease of FVC from 105.4% predicted to 96.9% predicted (dust) and 97.1% predicted (fibers) in the subgroup with highest cumulative exposure was observed. For FEV(1), a decrease from 107.3% predicted to 103.0% predicted (dust) and 102.8% predicted (fibers) was found. The parameter estimates show dose-response relationships that are more pronounced for FVC compared to FEV(1). FEV(1)%FVC did not change significantly with increasing cumulative exposure, indicating a restrictive pattern of the findings. CONCLUSIONS: Due to high ambient dust concentrations and the observed adverse effects on lung function, a reduction of dust exposure and secondary preventive measures is advised.


Assuntos
Poluentes Ocupacionais do Ar/efeitos adversos , Indústrias , Pneumopatias/diagnóstico , Doenças Profissionais/diagnóstico , Adulto , Poluentes Ocupacionais do Ar/análise , Estudos de Casos e Controles , Estudos de Coortes , Poeira , Monitoramento Ambiental , Feminino , Volume Expiratório Forçado , Humanos , Pneumopatias/etiologia , Masculino , Pessoa de Meia-Idade , Doenças Profissionais/etiologia , Exposição Ocupacional/efeitos adversos , Papel , Valor Preditivo dos Testes , Probabilidade , Valores de Referência , Transtornos Respiratórios/diagnóstico , Transtornos Respiratórios/etiologia , Testes de Função Respiratória , Medição de Risco , Índice de Gravidade de Doença , Capacidade Vital
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