Cluster analysis of World Trade Center (WTC) related lower airway diseases (LAD)
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2 01 2024
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Source: J Occup Environ Med. 66(2):179-184
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Alternative Title:J Occup Environ Med
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Description:Introduction:
Cluster analysis can classify without a priori assumptions the heterogeneous chronic lower airway diseases (LAD) found in former workers at the World Trade Center (WTC) disaster site.
Methods:
We selected the first available chest CT scan with quantitative CT (QCT) measurements on 311 former WTC workers with complete clinical, and spirometric data from their closest surveillance visit. We performed a non-hierarchical iterative algorithm K-prototype cluster analysis, using gap measure.
Results:
A 5-cluster solution was most satisfactory. Cluster 5 had the healthiest individuals. In cluster 4 smoking was most prevalent and intense but there was scant evidence of respiratory disease. Cluster 3 had symptomatic subjects with reduced forced vital capacity impairment (low FVC). Clusters 1 and 2 had less dyspneic subjects, but more functional and QCT evidence of chronic obstructive pulmonary disease (COPD) in cluster 1, or low FVC in cluster 2. Clusters 1 and 4 had the highest proportion of rapid FEV1 decliners.
Conclusion:
Cluster analysis confirms low FVC and COPD/pre-COPD as distinctive chronic LAD phenotypes on long term surveillance of the WTC workers.
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Pubmed ID:38305727
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Pubmed Central ID:PMC10842254
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Supporting Files:No Additional Files