Thursday, September 27, 2012

Mesothelioma mortality surveillance and asbestos exposure tracking in Italy

http://www.ncbi.nlm.nih.gov/pubmed/23007055


 2012;48(3):300-310.

Mesothelioma mortality surveillance and asbestos exposure tracking in Italy.

Source

Dipartimento di Ambiente e Connessa Prevenzione Primaria; Istituto Superiore di Sanità, Rome, Italy. E-mail: lucia.fazzo@iss.it.

Abstract

Aim.Introduction. Spatial distribution of mortality from pleural mesothelioma (which in the ICD-10 Revision has a specific code: C45.0) in Italy for the period 2003-2009 is described. Previous mortality studies at national level employed the topographic code "Malignant neoplasms of pleura", because of unavailability of a specific code in ICD-9 Revision for pleural mesothelioma. Methods. Standardized mortality ratios were computed for all municipalities, using each regional population as reference; for municipalities in Regions with rate higher than the national rate, the latter has been used as reference. SMRs were computed specifically also for each Italian Polluted Sites "of national concern for environmental remediation" (IPS) with asbestos exposure sources, composed by one or more municipalities, using regional rate as reference. Spatial Scan Statistics procedure, using SatScan software, was applied in cluster analysis: the country was divided into geographic macro-areas and the relative risks (RR) express the ratio of risk within the cluster to the risk of the macro-area outside the cluster. Clusters with p-value < 0.10 were selected. Results. The national standardized annual mortality rate was 1.7 cases per 100 000. Several areas with evident burden of asbestos-related disease were detected. Significant clusters were found in correspondence to asbestos-cement industries (e.g. Casale Monferrato, women: RR = 28.7), shipyards (e.g. Trieste, men: RR = 4.8), petrochemical industries (e.g. Priolo, men: RR = 6.9) and a stone quarry contaminated by fluoro-edenite fibres (Biancavilla, women: RR = 25.9). Some of the increased clusters correspond to IPS. Conclusions. The results may contribute to detect asbestos exposure and to set priorites for environmental remediation.

No comments:

Post a Comment