Chest CT Scan Findings in World Trade Center Workers
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2019/09/01
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Description:We examined the chest CT scans of 1,453 WTC responders using the International Classification of High-resolution CT for Occupational and Environmental Respiratory Diseases. Univariate and bivariate analyses of potential work-related pleural abnormalities were performed with pre-WTC and WTC-related occupational exposure data, spirometry, demographics and quantitative CT measurements. Logistic regression was used to evaluate occupational predictors of those abnormalities. Chest CT scans were performed first at a median of 6.8 years after 9/11/2001. Pleural abnormalities were the most frequent (21.1%) across all occupational groups In multivariable analyses, significant pre-WTC occupational asbestos exposure, and work as laborer/cleaner were predictive of pleural abnormalities, with prevalence being highest for the Polish subgroup (n = 237) of our population. Continued occupational lung disease surveillance is warranted in this cohort. Correction: Arch Environ Health 2019 Sep 27 online. When the article "Chest CT scan findings in World Trade Center workers" was first published online and print, the format of Table 4 had been set incorrectly in an image format. Now this had been corrected in both online and print versions. [Description provided by NIOSH]
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ISSN:0003-9896
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Pages in Document:9 pdf pages
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Volume:74
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Issue:5
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NIOSHTIC Number:nn:20051230
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Citation:Arch Environ Health 2019 Sep; 74(5):263-270
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Contact Point Address:Rafael E. de la Hoz, MD, MPH, MSc, Division of Occupational Medicine, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, WTC HP CCE Box 1059, New York, NY 10029
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Email:Rafael.delaHoz@mssm.edu
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Federal Fiscal Year:2019
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Performing Organization:Icahn School of Medicine at Mount Sinai, New York
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Peer Reviewed:True
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Start Date:20120901
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Source Full Name:Archives of Environmental Health
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End Date:20260831
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Main Document Checksum:urn:sha-512:0993e042b042dd32a079e21e523e87b87f2a005a49fc5915bd274248efdd70d9adbe6033e6631a08e2b86ca91d6a9a6e6c2d960e7b68336239f2d25ef653f844
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