Pulmonary function and CT biomarkers as risk factors for cardiovascular events in male lung cancer screening participants: the NELSON study
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SourceEuropean Radiology, 25, (2015), pp. 65-71
Article / Letter to editor
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SubjectRadboudumc 9: Rare cancers RIHS: Radboud Institute for Health Sciences
The objective of this study was to investigate the association of spirometry and pulmonary CT biomarkers with cardiovascular events.In this lung cancer screening trial 3,080 male participants without a prior cardiovascular event were analysed. Fatal and non-fatal cardiovascular events were included. Spirometry included forced expiratory volume measured in units of one-second percent predicted (FEV1\%predicted) and FEV1 divided by forced vital capacity (FVC; FEV1/FVC). CT examinations were quantified for coronary artery calcium volume, pulmonary emphysema (perc15) and bronchial wall thickness (pi10). Data were analysed via a Cox proportional hazard analysis, net reclassification improvement (NRI) and C-indices.184 participants experienced a cardiovascular event during a median follow-up of 2.9 years. Age, pack-years and smoking status adjusted hazard ratios were 0.992 (95 \% confidence interval (CI) 0.985-0.999) for FEV1\%predicted, 1.000 (95\%CI 0.986-1.015) for FEV1/FVC, 1.014 (95\%CI 1.005-1.023) for perc15 per 10 HU, and 1.269 (95\%CI 1.024-1.573) for pi10 per 1 mm. The incremental C-index (<0.015) and NRI (<2.8 \%) were minimal. Coronary artery calcium volume had a hazard ratio of 1.046 (95\%CI 1.034-1.058) per 100 mm(3), an increase in C-index of 0.076 and an NRI of 16.9 \% (P < 0.0001).Pulmonary CT biomarkers and spirometry measurements were significantly associated with cardiovascular events, but did not contain clinically relevant independent prognostic information for cardiovascular events.• Pulmonary CT biomarkers and spirometry are associated with cardiovascular events • These pulmonary measurements do not contain clinically relevant independent prognostic information • Only coronary calcium score improved cardiovascular risk prediction above age and smoking.
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