scholarly journals Association of quantitative CT lung density measurements and lung function decline in World Trade Center workers

2020 ◽  
Author(s):  
Xiaoyu Liu ◽  
Anthony P. Reeves ◽  
Katherine Antoniak ◽  
Raúl San José Estépar ◽  
John T. Doucette ◽  
...  
Keyword(s):  
Lung Function ◽  
World Trade ◽  
World Trade Center ◽  
Lung Function Decline ◽  
Quantitative Ct ◽  
Lung Density ◽  
Density Measurements ◽  
Trade Center

scholarly journals Metabolomics of World Trade Center-Lung Injury: a machine learning approach

2018 ◽  
Vol 5 (1) ◽  
pp. e000274 ◽  
Author(s):  
George Crowley ◽  
Sophia Kwon ◽  
Syed Hissam Haider ◽  
Erin J Caraher ◽  
Rachel Lam ◽  
...  
Keyword(s):  
Machine Learning ◽  
Lung Function ◽  
Lung Injury ◽  
World Trade ◽  
World Trade Center ◽  
Forced Expiratory Volume ◽  
Machine Learning Techniques ◽  
Maximal Class ◽  
Class Separation ◽  
Trade Center

IntroductionBiomarkers of metabolic syndrome expressed soon after World Trade Center (WTC) exposure predict development of WTC Lung Injury (WTC-LI). The metabolome remains an untapped resource with potential to comprehensively characterise many aspects of WTC-LI. This case–control study identified a clinically relevant, robust subset of metabolic contributors of WTC-LI through comprehensive high-dimensional metabolic profiling and integration of machine learning techniques.MethodsNever-smoking, male, WTC-exposed firefighters with normal pre-9/11 lung function were segregated by post-9/11 lung function. Cases of WTC-LI (forced expiratory volume in 1s <lower limit of normal, n=15) and controls (n=15) were identified from previous cohorts. The metabolome of serum drawn within 6 months of 9/11 was quantified. Machine learning was used for dimension reduction to identify metabolites associated with WTC-LI.Results580 metabolites qualified for random forests (RF) analysis to identify a refined metabolite profile that yielded maximal class separation. RF of the refined profile correctly classified subjects with a 93.3% estimated success rate. 5 clusters of metabolites emerged within the refined profile. Prominent subpathways include known mediators of lung disease such as sphingolipids (elevated in cases of WTC-LI), and branched-chain amino acids (reduced in cases of WTC-LI). Principal component analysis of the refined profile explained 68.3% of variance in five components, demonstrating class separation.ConclusionAnalysis of the metabolome of WTC-exposed 9/11 rescue workers has identified biologically plausible pathways associated with loss of lung function. Since metabolites are proximal markers of disease processes, metabolites could capture the complexity of past exposures and better inform treatment. These pathways warrant further mechanistic research.

scholarly journals Lung Function in Rescue Workers at the World Trade Center after 7 Years

2010 ◽  
Vol 362 (14) ◽  
pp. 1263-1272 ◽  
Author(s):  
Thomas K. Aldrich ◽  
Jackson Gustave ◽  
Charles B. Hall ◽  
Hillel W. Cohen ◽  
Mayris P. Webber ◽  
...  
Keyword(s):  
Lung Function ◽  
World Trade ◽  
World Trade Center ◽  
Rescue Workers ◽  
The World ◽  
Trade Center

scholarly journals Bronchial Reactivity and Lung Function After World Trade Center Exposure

CHEST Journal ◽  
2016 ◽  
Vol 150 (6) ◽  
pp. 1333-1340 ◽  
Author(s):  
Thomas K. Aldrich ◽  
Jessica Weakley ◽  
Sean Dhar ◽  
Charles B. Hall ◽  
Tesha Crosse ◽  
...  
Keyword(s):  
Lung Function ◽  
World Trade ◽  
World Trade Center ◽  
Bronchial Reactivity ◽  
Trade Center

Case–Control Study of Lung Function in World Trade Center Health Registry Area Residents and Workers

2011 ◽  
Vol 184 (5) ◽  
pp. 582-589 ◽  
Author(s):  
Stephen M. Friedman ◽  
Carey B. Maslow ◽  
Joan Reibman ◽  
Parul S. Pillai ◽  
Roberta M. Goldring ◽  
...  
Keyword(s):  
Lung Function ◽  
World Trade ◽  
Case Control Study ◽  
World Trade Center ◽  
Case Control ◽  
Trade Center ◽  
Health Registry ◽  
Control Study

scholarly journals Lung Function Trajectories in World Trade Center-Exposed New York City Firefighters Over 13 Years

CHEST Journal ◽  
2016 ◽  
Vol 149 (6) ◽  
pp. 1419-1427 ◽  
Author(s):  
Thomas K. Aldrich ◽  
Madeline Vossbrinck ◽  
Rachel Zeig-Owens ◽  
Charles B. Hall ◽  
Theresa M. Schwartz ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Lung Function ◽  
York City ◽  
World Trade ◽  
World Trade Center ◽  
Trade Center
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