Cluster Analysis of World Trade Center Related Lower Airway Diseases.
J Occup Environ Med
; 66(2): 179-184, 2024 Feb 01.
Article
em En
| MEDLINE
| ID: mdl-38305727
ABSTRACT
ABSTRACT Introduction:
Cluster analysis can classify without a priori assumptions the heterogeneous chronic lower airway diseases found in former workers at the World Trade Center (WTC) disaster site.Methods:
We selected the first available chest computed tomography scan with quantitative computed tomography measurements on 311 former WTC workers with complete clinical, and spirometric data from their closest surveillance visit. We performed a nonhierarchical iterative algorithm K-prototype cluster analysis, using gap measure.Results:
A five-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 quantitative computed tomography 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 first-second forced expiratory volume decliners.Conclusions:
Cluster analysis confirms low FVC and COPD/pre-COPD as distinctive chronic lower airway disease phenotypes on long-term surveillance of the WTC workers.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Transtornos Respiratórios
/
Doença Pulmonar Obstrutiva Crônica
/
Pneumopatias
Limite:
Humans
Idioma:
En
Revista:
J Occup Environ Med
Assunto da revista:
MEDICINA OCUPACIONAL
/
SAUDE AMBIENTAL
Ano de publicação:
2024
Tipo de documento:
Article