Extraction of Ejection Fraction from Echocardiography Notes for Constructing a Cohort of Patients having Heart Failure with reduced Ejection Fraction (HFrEF).

Content Provider	Europe PMC
Author	Wagholikar, Kavishwar B. Fischer, Christina M. Goodson, Alyssa Herrick, Christopher D. Rees, Martin Toscano, Eloy MacRae, Calum A. Scirica, Benjamin M. Desai, Akshay S. Murphy, Shawn N.
Abstract	Left ventricular ejection fraction (LVEF) is an important prognostic indicator of cardiovascular outcomes. It is used clinically to determine the indication for several therapeutic interventions. LVEF is most commonly derived using in-line tools and some manual assessment by cardiologists from standardized echocardiographic views. LVEF is typically documented in free-text reports, and variation in LVEF documentation pose a challenge for the extraction and utilization of LVEF in computer-based clinical workflows. To address this problem, we developed a computerized algorithm to extract LVEF from echocardiography reports for the identification of patients having heart failure with reduced ejection fraction (HFrEF) for therapeutic intervention at a large healthcare system. We processed echocardiogram reports for 57,158 patients with coded diagnosis of Heart Failure that visited the healthcare system over a two-year period. Our algorithm identified a total of 3910 patients with reduced ejection fraction. Of the 46,634 echocardiography reports processed, 97% included a mention of LVEF. Of these reports, 85% contained numerical ejection fraction values, 9% contained ranges, and the remaining 6% contained qualitative descriptions. Overall, 18% of extracted numerical LVEFs were ≤ 40%. Furthermore, manual validation for a sample of 339 reports yielded an accuracy of 1.0. Our study demonstrates that a regular expression-based approach can accurately extract LVEF from echocardiograms, and is useful for delineating heart-failure patients with reduced ejection fraction.
Related Links	https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC6153777&blobtype=pdf
ISSN	01485598
Journal	Journal of Medical Systems [J Med Syst]
Volume Number	42
DOI	10.1007/s10916-018-1066-7
PubMed Central reference number	PMC6153777
Issue Number	11
PubMed reference number	30255347
e-ISSN	1573689X
Language	English
Publisher	Springer US
Publisher Date	2018-09-25
Publisher Place	New York
Access Restriction	Open
Rights License	Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. © The Author(s) 2018
Subject Keyword	Ejection fraction Natural language processing Regular expression Cardiology Echocardiogram
Content Type	Text
Resource Type	Article
Subject	Health Information Management Medicine Information Systems Health Informatics