Title |
Echocardiographic agreement in the diagnostic evaluation for infective endocarditis
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Published in |
The International Journal of Cardiovascular Imaging, April 2016
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DOI | 10.1007/s10554-016-0873-5 |
Pubmed ID | |
Authors |
Trine Kiilerich Lauridsen, Christine Selton-Suty, Steven Tong, Luis Afonso, Enrico Cecchi, Lawrence Park, Eric Yow, Huiman X. Barnhart, Carlos Paré, Zainab Samad, Donald Levine, Gail Peterson, Amy Butler Stancoven, Magnus Carl Johansson, Stuart Dickerman, Syahidah Tamin, Gilbert Habib, Pamela S. Douglas, Niels Eske Bruun, Anna Lisa Crowley |
Abstract |
Echocardiography is essential for the diagnosis and management of infective endocarditis (IE). However, the reproducibility for the echocardiographic assessment of variables relevant to IE is unknown. Objectives of this study were: (1) To define the reproducibility for IE echocardiographic variables and (2) to describe a methodology for assessing quality in an observational cohort containing site-interpreted data. IE reproducibility was assessed on a subset of echocardiograms from subjects enrolled in the International Collaboration on Endocarditis registry. Specific echocardiographic case report forms were used. Intra-observer agreement was assessed from six site readers on ten randomly selected echocardiograms. Inter-observer agreement between sites and an echocardiography core laboratory was assessed on a separate random sample of 110 echocardiograms. Agreement was determined using intraclass correlation (ICC), coverage probability (CP), and limits of agreement for continuous variables and kappa statistics (κweighted) and CP for categorical variables. Intra-observer agreement for LVEF was excellent [ICC = 0.93 ± 0.1 and all pairwise differences for LVEF (CP) were within 10 %]. For IE categorical echocardiographic variables, intra-observer agreement was best for aortic abscess (κweighted = 1.0, CP = 1.0 for all readers). Highest inter-observer agreement for IE categorical echocardiographic variables was obtained for vegetation location (κweighted = 0.95; 95 % CI 0.92-0.99) and lowest agreement was found for vegetation mobility (κweighted = 0.69; 95 % CI 0.62-0.86). Moderate to excellent intra- and inter-observer agreement is observed for echocardiographic variables in the diagnostic assessment of IE. A pragmatic approach for determining echocardiographic data reproducibility in a large, multicentre, site interpreted observational cohort is feasible. |
X Demographics
Geographical breakdown
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 7 | 30% |
Professor > Associate Professor | 2 | 9% |
Student > Master | 2 | 9% |
Lecturer | 1 | 4% |
Student > Bachelor | 1 | 4% |
Other | 4 | 17% |
Unknown | 6 | 26% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 14 | 61% |
Computer Science | 1 | 4% |
Unknown | 8 | 35% |