ArticleAmerican journal of industrial medicine2022
Estimating mortality from coal workers' pneumoconiosis among Medicare beneficiaries with pneumoconiosis using binary regressions for spatially sparse data.
Article in American journal of industrial medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 12 citations in OpenAlex.
- Development and validation of an interpretable machine learning model for pulmonary heart disease in patients with pneumoconiosis.Frontiers in public health · 2026Article
- Association Between Pneumoconiosis and Pleural Empyema: A Retrospective Cohort Study.Diagnostics (Basel, Switzerland) · 2025Article
- Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers' Pneumoconiosis: An Insight into Disease Progression.Journal of proteome research · 2025Article
- Risk of sleep disorders in patients with pneumoconiosis: a retrospective cohort study.Journal of epidemiology and global health · 2024Article
- Risk of Acute Myocardial Infarction in Pneumoconiosis: Results from a Retrospective Cohort Study.Biomedicines · 2023Article
- Risk of Chronic Kidney Disease in Pneumoconiosis: Results from a Retrospective Cohort Study (2008-2019).Biomedicines · 2023Article
- Estimating mortality from coal workers' pneumoconiosis among Medicare beneficiaries with pneumoconiosis using binary regressions for spatially sparse data.American journal of industrial medicine · 2022Article
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Authors and funding
3 authors at 1 institution in 1 country.
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Abstract
backgroundCoal workers' pneumoconiosis (CWP) is an occupational lung disease due to inhalation of coal dust. We estimated mortality from CWP and other pneumoconioses among Medicare beneficiaries.
methodsWe used the 5% Medicare Limited Claims Data Set, 2011-2014, to identify patients diagnosed with ICD-9-CM 500 (CWP) through 505 (Asbestosis, Pneumoconiosis due to other silica or silicates, Pneumoconiosis due to other inorganic dust, Pneumonopathy due to inhalation of other dust, and Pneumoconiosis, unspecified) codes. We applied binary regression models with spatial random effects to determine the association between CWP and mortality. Our inferences are based on Bayesian spatial hierarchical models, and model fitting was performed using Integrated Nested Laplace Approximation (INLA) algorithm in R/RStudio software.
resultsThe median age of the sample was 76 years. In a sample of 8531 Medicare beneficiaries, 2568 died. Medicare beneficiaries with CWP had 25% higher odds of death (adjusted OR: 1.25, 95% CI: 1.07, 1.46) than those with other types of pneumoconiosis. The number of comorbid conditions elevated the odds of death by 10% (adjusted OR: 1.10, 95% CI: 1.09, 1.10).
conclusionCWP increases the likelihood of death among Medicare beneficiaries. Healthcare professionals should make concerted efforts to monitor patients with CWP to prevent premature mortality.
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