Literature DB >> 27271114

Extracting and analyzing ejection fraction values from electronic echocardiography reports in a large health maintenance organization.

Fagen Xie1, Chengyi Zheng1, Albert Yuh-Jer Shen2, Wansu Chen1.   

Abstract

The left ventricular ejection fraction value is an important prognostic indicator of cardiovascular outcomes including morbidity and mortality and is often used clinically to indicate severity of heart disease. However, it is usually reported in free-text echocardiography reports. We developed and validated a computerized algorithm to extract ejection fraction values from echocardiography reports and applied the algorithm to a large volume of unstructured echocardiography reports between 1995 and 2011 in a large health maintenance organization. A total of 621,856 echocardiography reports with a description of ejection fraction values or systolic functions were identified, of which 70 percent contained numeric ejection fraction values and the rest (30%) were text descriptions explicitly indicating the systolic left ventricular function. The 12.1 percent (16.0% for male and 8.4% for female) of these extracted ejection fraction values are <45 percent. Validation conducted based on a random sample of 200 reports yielded 95.0 percent sensitivity and 96.9 percent positive predictive value.

Entities:  

Keywords:  Echocardiography reports; ejection fraction; information retrieval; left ventricle; natural language processing

Mesh:

Year:  2016        PMID: 27271114     DOI: 10.1177/1460458216651917

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  7 in total

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

Authors:  Kavishwar B Wagholikar; Christina M Fischer; Alyssa Goodson; Christopher D Herrick; Martin Rees; Eloy Toscano; Calum A MacRae; Benjamin M Scirica; Akshay S Desai; Shawn N Murphy
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5.  Unlocking echocardiogram measurements for heart disease research through natural language processing.

Authors:  Olga V Patterson; Matthew S Freiberg; Melissa Skanderson; Samah J Fodeh; Cynthia A Brandt; Scott L DuVall
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6.  Automated Identification and Extraction of Exercise Treadmill Test Results.

Authors:  Chengyi Zheng; Benjamin C Sun; Yi-Lin Wu; Ming-Sum Lee; Ernest Shen; Rita F Redberg; Maros Ferencik; Shaw Natsui; Aniket A Kawatkar; Visanee V Musigdilok; Adam L Sharp
Journal:  J Am Heart Assoc       Date:  2020-02-21       Impact factor: 5.501

7.  EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research.

Authors:  Tianrun Cai; Luwan Zhang; Nicole Yang; Kanako K Kumamaru; Frank J Rybicki; Tianxi Cai; Katherine P Liao
Journal:  BMC Med Inform Decis Mak       Date:  2019-11-15       Impact factor: 2.796

  7 in total

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