Assessment of Cumulative Health Risk in the World Trade Center General Responder Cohort
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2018/01/01
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Personal Author:Bello GA ; Crane MA ; Dasaro CR ; Harrison DJ ; Kaplan JR ; Lucchini RG ; Luft BJ ; Moline JM ; Shapiro M ; Teitelbaum SL ; Todd AC ; Udasin IG
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Description:Background: Multiple comorbidities have been reported among rescue/recovery workers responding to the 9/11/2001 WTC disaster. In this study, we developed an index that quantifies the cumulative physiological burden of comorbidities and predicts life expectancy in this cohort. Methods: A machine learning approach (gradient boosting) was used to model the relationship between mortality and several clinical parameters (laboratory test results, blood pressure, pulmonary function measures). This model was used to construct a risk index, which was validated by assessing its association with a number of health outcomes within the WTC general responder cohort. Results: The risk index showed significant associations with mortality, self-assessed physical health, and onset of multiple chronic conditions, particularly COPD, hypertension, asthma, and sleep apnea. Conclusion: As an aggregate of several clinical parameters, this index serves as a cumulative measure of physiological dysregulation and could be utilized as a prognostic indicator of life expectancy and morbidity risk. [Description provided by NIOSH]
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ISSN:0271-3586
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Pages in Document:63-76
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Volume:61
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Issue:1
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NIOSHTIC Number:nn:20050667
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Citation:Am J Ind Med 2018 Jan; 61(1):63-76
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Contact Point Address:Ghalib A. Bello, PhD, Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, Box 1057, New York, NY 10029
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Email:ghalib.bello@mssm.edu
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Federal Fiscal Year:2018
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Performing Organization:State University of New York Stony Brook
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Peer Reviewed:True
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Start Date:20040715
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Source Full Name:American Journal of Industrial Medicine
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End Date:20110630
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Main Document Checksum:urn:sha-512:3ca555f47b8c47ae992a54e20bfdedfbd7ec3a6ad9322a8eb1309d6441b83fe0ad503aff8037f86239da85ff3162a6e95e8e16a32a436d56a60cc7e5bb629977
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