Visual Estimate of Coronary Artery Calcium Predicts Cardiovascular Disease in COPD.

Autor: Bhatt SP; Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL; UAB Lung Health Center, University of Alabama at Birmingham, Birmingham, AL; UAB Lung Imaging Core, University of Alabama at Birmingham, Birmingham, AL. Electronic address: sbhatt@uabmc.edu., Kazerooni EA; Department of Radiology, University of Michigan, Ann Arbor, MI., Newell JD Jr; Department of Radiology, University of Iowa, Iowa City, IA., Hokanson JE; Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO., Budoff MJ; Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA., Dass CA; Department of Radiology, Temple University Hospital, Philadelphia, PA., Martinez CH; Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI., Bodduluri S; Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL; UAB Lung Health Center, University of Alabama at Birmingham, Birmingham, AL; UAB Lung Imaging Core, University of Alabama at Birmingham, Birmingham, AL., Jacobson FL; Department of Radiology, Brigham and Women's Hospital, Boston, MA., Yen A; Department of Radiology, University of California at San Diego, San Diego, CA., Dransfield MT; Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL; UAB Lung Health Center, University of Alabama at Birmingham, Birmingham, AL; UAB Lung Imaging Core, University of Alabama at Birmingham, Birmingham, AL; Birmingham VA Medical Center, Birmingham, AL., Fuhrman C; Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA., Nath H; UAB Lung Imaging Core, University of Alabama at Birmingham, Birmingham, AL; Department of Radiology, University of Alabama at Birmingham, Birmingham, AL.
Jazyk: angličtina
Zdroj: Chest [Chest] 2018 Sep; Vol. 154 (3), pp. 579-587. Date of Electronic Publication: 2018 Jun 08.
DOI: 10.1016/j.chest.2018.05.037
Abstrakt: Background: COPD is associated with cardiovascular disease (CVD), and coronary artery calcification (CAC) provides additional prognostic information. With increasing use of nongated CT scans in clinical practice, this study hypothesized that the visual Weston CAC score would perform as well as the Agatston score in predicting prevalent and incident coronary artery disease (CAD) and CVD in COPD.
Methods: CAC was measured by using Agatston and Weston scores on baseline CT scans in 1,875 current and former smokers enrolled in the Genetic Epidemiology of COPD (COPDGene) study. Baseline cardiovascular disease and incident cardiac events on longitudinal follow-up were recorded. Accuracy of the CAC scores was measured by using receiver-operating characteristic analysis, and Cox proportional hazards analyses were used to estimate the risk of incident cardiac events.
Results: CAD was reported by 133 (7.1%) subjects at baseline. A total of 413 (22.0%) and 241 (12.9%) patients had significant CAC according to the Weston (≥ 7) and Agatston (≥ 400) scores, respectively; the two methods were significantly correlated (r = 0.84; P < .001). Over 5 years of follow-up, 127 patients (6.8%) developed incident CVD. For predicting prevalent CAD, c-indices for the Weston and Agatston scores were 0.78 and 0.74 and for predicting incident CVD, they were 0.62 and 0.61. After adjustment for age, race, sex, smoking pack-years, FEV 1 , percent emphysema, and CT scanner type, a Weston score ≥ 7 was associated with time to first acute coronary event (hazard ratio, 2.16 [95% CI, 1.32 to 3.53]; P = .002), but a Agatston score ≥ 400 was not (hazard ratio, 1.75 [95% CI, 0.99-3.09]; P = .053).
Conclusions: A simple visual score for CAC performed well in predicting incident CAD in smokers with and without COPD.
Trial Registry: ClinicalTrials.gov; No.: NCT00608764; URL: www.clinicaltrials.gov.
(Copyright © 2018 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE