Literature DB >> 30255347

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

Kavishwar B Wagholikar1,2, Christina M Fischer3, Alyssa Goodson4, Christopher D Herrick4, Martin Rees4, Eloy Toscano4, Calum A MacRae5,6, Benjamin M Scirica5,6, Akshay S Desai5,6, Shawn N Murphy5,3,4.   

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.

Entities:  

Keywords:  Cardiology; Echocardiogram; Ejection fraction; Natural language processing; Regular expression

Mesh:

Year:  2018        PMID: 30255347      PMCID: PMC6153777          DOI: 10.1007/s10916-018-1066-7

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  23 in total

1.  Automated extraction of ejection fraction for quality measurement using regular expressions in Unstructured Information Management Architecture (UIMA) for heart failure.

Authors:  Jennifer H Garvin; Scott L DuVall; Brett R South; Bruce E Bray; Daniel Bolton; Julia Heavirland; Steve Pickard; Paul Heidenreich; Shuying Shen; Charlene Weir; Matthew Samore; Mary K Goldstein
Journal:  J Am Med Inform Assoc       Date:  2012-03-21       Impact factor: 4.497

2.  Concept-value pair extraction from semi-structured clinical narrative: a case study using echocardiogram reports.

Authors:  Jeanhee Chung; Shawn Murphy
Journal:  AMIA Annu Symp Proc       Date:  2005

3.  Using machine learning for concept extraction on clinical documents from multiple data sources.

Authors:  Manabu Torii; Kavishwar Wagholikar; Hongfang Liu
Journal:  J Am Med Inform Assoc       Date:  2011-06-27       Impact factor: 4.497

Review 4.  2017 ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Failure Society of America.

Authors:  Clyde W Yancy; Mariell Jessup; Biykem Bozkurt; Javed Butler; Donald E Casey; Monica M Colvin; Mark H Drazner; Gerasimos S Filippatos; Gregg C Fonarow; Michael M Givertz; Steven M Hollenberg; JoAnn Lindenfeld; Frederick A Masoudi; Patrick E McBride; Pamela N Peterson; Lynne Warner Stevenson; Cheryl Westlake
Journal:  Circulation       Date:  2017-04-28       Impact factor: 29.690

5.  Learning regular expressions for clinical text classification.

Authors:  Duy Duc An Bui; Qing Zeng-Treitler
Journal:  J Am Med Inform Assoc       Date:  2014-02-27       Impact factor: 4.497

6.  Assisted annotation of medical free text using RapTAT.

Authors:  Glenn T Gobbel; Jennifer Garvin; Ruth Reeves; Robert M Cronin; Julia Heavirland; Jenifer Williams; Allison Weaver; Shrimalini Jayaramaraja; Dario Giuse; Theodore Speroff; Steven H Brown; Hua Xu; Michael E Matheny
Journal:  J Am Med Inform Assoc       Date:  2014-01-15       Impact factor: 4.497

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

Authors:  Fagen Xie; Chengyi Zheng; Albert Yuh-Jer Shen; Wansu Chen
Journal:  Health Informatics J       Date:  2016-06-07       Impact factor: 2.681

8.  Extraction of left ventricular ejection fraction information from various types of clinical reports.

Authors:  Youngjun Kim; Jennifer H Garvin; Mary K Goldstein; Tammy S Hwang; Andrew Redd; Dan Bolton; Paul A Heidenreich; Stéphane M Meystre
Journal:  J Biomed Inform       Date:  2017-02-02       Impact factor: 6.317

Review 9.  Use of ejection fraction (or lack thereof), morbidity/mortality and heart failure drug trials: a review.

Authors:  Mark A Fogel
Journal:  Int J Cardiol       Date:  2002-08       Impact factor: 4.164

10.  Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts.

Authors:  Katherine P Liao; Ashwin N Ananthakrishnan; Vishesh Kumar; Zongqi Xia; Andrew Cagan; Vivian S Gainer; Sergey Goryachev; Pei Chen; Guergana K Savova; Denis Agniel; Susanne Churchill; Jaeyoung Lee; Shawn N Murphy; Robert M Plenge; Peter Szolovits; Isaac Kohane; Stanley Y Shaw; Elizabeth W Karlson; Tianxi Cai
Journal:  PLoS One       Date:  2015-08-24       Impact factor: 3.240

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  9 in total

1.  Sensitivity and Specificity of a Machine Learning Algorithm to Identify Goals-of-care Documentation for Adults With Congenital Heart Disease at the End of Life.

Authors:  Jill M Steiner; Christina Morse; Robert Y Lee; J Randall Curtis; Ruth A Engelberg
Journal:  J Pain Symptom Manage       Date:  2020-06-26       Impact factor: 3.612

Review 2.  Systematic review of current natural language processing methods and applications in cardiology.

Authors:  Meghan Reading Turchioe; Alexander Volodarskiy; Jyotishman Pathak; Drew N Wright; James Enlou Tcheng; David Slotwiner
Journal:  Heart       Date:  2022-05-25       Impact factor: 7.365

3.  Cardiac cycle time-corrected electromechanical activation time greater than 15% is an independent risk factor for major adverse cardiovascular events in chronic heart failure outpatients.

Authors:  Jing Zhang; Wenxian Liu
Journal:  Pak J Med Sci       Date:  2022 Mar-Apr       Impact factor: 1.088

4.  Phenotyping to Facilitate Accrual for a Cardiovascular Intervention.

Authors:  Kavishwar B Wagholikar; Christina M Fischer; Alyssa P Goodson; Christopher D Herrick; Taylor E Maclean; Katelyn V Smith; Liliana Fera; Thomas A Gaziano; Jacqueline R Dunning; Joshua Bosque-Hamilton; Lina Matta; Eloy Toscano; Brent Richter; Layne Ainsworth; Michael F Oates; Samuel Aronson; Calum A MacRae; Benjamin M Scirica; Akshay S Desai; Shawn N Murphy
Journal:  J Clin Med Res       Date:  2019-05-10

5.  Ventricle-specific epicardial pressures as a means to optimize direct cardiac compression for circulatory support: A pilot study.

Authors:  Jooli Han; Matthew Kubala; Edgar Aranda-Michel; Dennis R Trumble
Journal:  PLoS One       Date:  2019-07-05       Impact factor: 3.240

Review 6.  Artificial intelligence in cardiovascular imaging: state of the art and implications for the imaging cardiologist.

Authors:  K R Siegersma; T Leiner; D P Chew; Y Appelman; L Hofstra; J W Verjans
Journal:  Neth Heart J       Date:  2019-09       Impact factor: 2.380

7.  Rationale and design of a navigator-driven remote optimization of guideline-directed medical therapy in patients with heart failure with reduced ejection fraction.

Authors:  Alexander J Blood; Christina M Fischer; Liliana E Fera; Taylor E MacLean; Katelyn V Smith; Jacqueline R Dunning; Joshua W Bosque-Hamilton; Samuel J Aronson; Thomas A Gaziano; Calum A MacRae; Lina S Matta; Ana A Mercurio-Pinto; Shawn N Murphy; Benjamin M Scirica; Kavishwar Wagholikar; Akshay S Desai
Journal:  Clin Cardiol       Date:  2019-11-14       Impact factor: 2.882

8.  Relationship between Quantitative Parameters of Echocardiography and Vascular Endothelial Function in Patients with Chronic Heart Failure and Its Predictive Value for Short-Term MACE Risk.

Authors:  Min Dai; Yunle Wang; Lijuan Peng; Xiaoyu Liu; Juan Lu; Lizhen He; Kulin Li; Dajun Qian; Ruxing Wang
Journal:  J Healthc Eng       Date:  2021-12-08       Impact factor: 2.682

9.  A registry-based algorithm to predict ejection fraction in patients with heart failure.

Authors:  Alicia Uijl; Lars H Lund; Ilonca Vaartjes; Jasper J Brugts; Gerard C Linssen; Folkert W Asselbergs; Arno W Hoes; Ulf Dahlström; Stefan Koudstaal; Gianluigi Savarese
Journal:  ESC Heart Fail       Date:  2020-06-17
  9 in total

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