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Background: The US Department of Labor (DOL) does not fund diffusing capacity (D) or metabolic measurements from cardiopulmonary exercise testing (CPET) for coal miners' disability evaluations. Although exercise arterial blood gas testing is covered, many miners are unable to perform maximal tests, and sampling at peak exercise can be challenging. We explored the relationship between resting D, radiographic disease severity, and CPET abnormalities in former US coal miners.
Methods: We analyzed data from miners evaluated between 2005 and 2015. Multivariable linear and logistic regression analyses were used to examine relationships between percent predicted (pp) forced expiratory volume in 1 s (FEVpp), Dpp, VOmaxpp, A-a oxygen gradient (A-a)pp, dead space fraction (Vd/Vt), disabling oxygen tension (PO), and radiographic findings of pneumoconiosis.
Results: Data from 2015 male coal miners was analyzed. Mean tenure was 28 years (SD 8.6). Thirty-twopercent had an abnormal A-a gradient (>150 pp), 20% had elevated Vd/Vt (>0.33), and 34% a VOmax < 60 pp. Dpp strongly predicted a disabling PO, with an odds ratio (OR) of 2.33 [2.09-2.60], compared to 1.18 [1.08-1.29] for FEV. Each increase in subcategory of small opacity (simple) pneumoconiosis increased the odds of a disabling PO by 42% [1.29-1.57], controlling for age, body mass index, pack-years of tobacco smoke exposure, and years of coal mine employment.
Conclusions: D is the best resting pulmonary function test predictor of CPET abnormalities. Radiographic severity of pneumoconiosis was also associated with CPET abnormalities. These findings support funding D testing for impairment and suggest the term "small opacity" should replace "simple" pneumoconiosis to reflect significant associations with impairment.
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http://dx.doi.org/10.1002/ajim.23621 | DOI Listing |
Circ Cardiovasc Interv
September 2025
Division of Vascular Medicine, Department of Medicine (J.A.B.), The University of Texas Southwestern Medical Center, Dallas.
Background: Patients with peripheral artery disease experience walking impairment that is incompletely explained by large-artery atherosclerotic occlusive disease and abnormal ankle-brachial index (ABI). Microvascular dysfunction is associated with adverse outcomes, including amputation, but its effect on ambulation is unknown. We tested the hypothesis that skeletal muscle microvascular function directly associates with walking distance, is a more sensitive indicator of walking distance than conduit artery blood inflow, and correlates with ambulatory improvement following peripheral artery disease interventions.
View Article and Find Full Text PDFDysfunctional breathing (DB) is an underdiagnosed condition in young patients presenting with unexplained exertional breathlessness. Cardiopulmonary exercise testing (CPET) provides valuable diagnostic insights in these challenging cases. We present a case series of five young women (mean age 23.
View Article and Find Full Text PDFKaohsiung J Med Sci
September 2025
Department of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Anomalous pulmonary venous connection (APVC), including total (TAPVC) and partial (PAPVC) forms, is a congenital heart defect with abnormal pulmonary vein drainage; and while surgical repair has improved survival, its long-term impact on cardiopulmonary function remains unclear. This retrospective study evaluated exercise capacity and pulmonary function in 26 pediatric APVC patients (17 TAPVC, 9 PAPVC) using cardiopulmonary exercise testing (CPET) and compared them with 63 age-matched healthy controls. Patients with complex defects or significant comorbidities were excluded.
View Article and Find Full Text PDFOpen Heart
September 2025
Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Background: Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.
Methods: From the SCOT-HEART (Scottish Computed Tomography of the HEART) trial, data from 1769 patients was used to train and to test machine learning models (XGBoost, 10-fold cross validation, grid search hyperparameter selection). Two models were separately generated to predict the presence of coronary artery disease (CAD) and an increased burden of low-attenuation coronary artery plaque (LAP) using symptoms, demographic and clinical characteristics, electrocardiography and exercise tolerance testing (ETT).
Front Med (Lausanne)
August 2025
Department of Gastroenterology, Xuancheng People's Hospital, Affiliated Xuancheng Hospital Wannan Medical College, Xuancheng, Anhui, China.
Background: infection and abnormal glucose metabolism are prevalent, interconnected contributors to chronic disease. Although metabolic changes have been studied in infected individuals, the independent association between the delta-over-baseline (DOB) value of the C-urea breath test and fasting blood glucose (FBG) remains unclear. We investigated whether DOB could predict abnormal FBG in adults receiving routine health examinations.
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