Literature DB >> 32755626

Performance of Electronic Health Record Diagnosis Codes for Ambulatory Heart Failure Encounters.

Parag Goyal1, Budhaditya Bose2, Ruth Masterson Creber2, Udhay Krishnan3, Mei Yang4, Joanne Brady4, Jyotishman Pathak2.   

Abstract

BACKGROUND: There is interest in leveraging the electronic medical records (EMRs) to improve knowledge and understanding of patients' characteristics and outcomes of patients with ambulatory heart failure (HF). However, the diagnostic performance of International Classification of Diseases (ICD) -10 diagnosis codes from the EMRs for patients with HF and with reduced or preserved ejection fraction (HFrEF or HFpEF) in the ambulatory setting are unknown.
METHODS: We examined a cohort of patients aged ≥ 18 with at least 1 outpatient encounter for HF between January 2016 and June 2018 and an echocardiogram conducted within 180 days of the outpatient encounter for HF. We defined HFrEF encounters as those with ICD-10 codes of I50.2x (systolic heart failure); and we defined HFpEF encounters as those with ICD-10 codes of I50.3x (diastolic heart failure). The referent definitions of HFrEF and HFpEF were based on echocardiograms conducted within 180 days of the ambulatory encounter for HF
RESULTS: We examined 68,952 encounters of 14,796 unique patients with HF. The diagnostic performance parameters for HFrEF (based on ICD-10 I50.2x only) depended on LVEF cutoff, with a sensitivity ranging from 68%-72%, specificity 63%-68%, positive predictive value 47%-63%, and negative predictive value 73%-84%. The diagnostic performance parameters for HFpEF depended on left ventricular ejection fraction cut-off, with sensitivity ranging from 34%-39%, specificity 92%-94%, positive predictive value 86%-93%, and negative predictive value 39%-54%.
CONCLUSIONS: ICD-10 coding abstracted from the EMR for HFrEF vs HFpEF in the ambulatory setting had suboptimal diagnostic performance and, thus, should not be used alone to examine HFrEF and HFpEF in the ambulatory setting.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Heart failure; diagnostic codes

Mesh:

Year:  2020        PMID: 32755626      PMCID: PMC8918045          DOI: 10.1016/j.cardfail.2020.07.015

Source DB:  PubMed          Journal:  J Card Fail        ISSN: 1071-9164            Impact factor:   5.712


  14 in total

1.  The middle child in heart failure: heart failure with mid-range ejection fraction (40-50%).

Authors:  Carolyn S P Lam; Scott D Solomon
Journal:  Eur J Heart Fail       Date:  2014-09-11       Impact factor: 15.534

2.  Prevalence and Prognostic Implications of Longitudinal Ejection Fraction Change in Heart Failure.

Authors:  Gianluigi Savarese; Ola Vedin; Domenico D'Amario; Alicia Uijl; Ulf Dahlström; Giuseppe Rosano; Carolyn S P Lam; Lars H Lund
Journal:  JACC Heart Fail       Date:  2019-03-06       Impact factor: 12.035

3.  Trends in patients hospitalized with heart failure and preserved left ventricular ejection fraction: prevalence, therapies, and outcomes.

Authors:  Benjamin A Steinberg; Xin Zhao; Paul A Heidenreich; Eric D Peterson; Deepak L Bhatt; Christopher P Cannon; Adrian F Hernandez; Gregg C Fonarow
Journal:  Circulation       Date:  2012-05-21       Impact factor: 29.690

4.  Trends in permanent pacemaker implantation in the United States from 1993 to 2009: increasing complexity of patients and procedures.

Authors:  Arnold J Greenspon; Jasmine D Patel; Edmund Lau; Jorge A Ochoa; Daniel R Frisch; Reginald T Ho; Behzad B Pavri; Steven M Kurtz
Journal:  J Am Coll Cardiol       Date:  2012-09-19       Impact factor: 24.094

5.  Trends in length of stay and short-term outcomes among Medicare patients hospitalized for heart failure, 1993-2006.

Authors:  Héctor Bueno; Joseph S Ross; Yun Wang; Jersey Chen; María T Vidán; Sharon-Lise T Normand; Jeptha P Curtis; Elizabeth E Drye; Judith H Lichtman; Patricia S Keenan; Mikhail Kosiborod; Harlan M Krumholz
Journal:  JAMA       Date:  2010-06-02       Impact factor: 56.272

6.  Specialty-Based Variability in Diagnosing and Managing Heart Failure With Preserved Ejection Fraction.

Authors:  David T Saxon; Peter J Kennel; Heidi M Guyer; Parag Goyal; Scott L Hummel; Matthew C Konerman
Journal:  Mayo Clin Proc       Date:  2020-04       Impact factor: 7.616

Review 7.  A novel paradigm for heart failure with preserved ejection fraction: comorbidities drive myocardial dysfunction and remodeling through coronary microvascular endothelial inflammation.

Authors:  Walter J Paulus; Carsten Tschöpe
Journal:  J Am Coll Cardiol       Date:  2013-05-15       Impact factor: 24.094

8.  Characteristics of Hospitalizations for Heart Failure with Preserved Ejection Fraction.

Authors:  Parag Goyal; Zaid I Almarzooq; Evelyn M Horn; Maria G Karas; Irina Sobol; Rajesh V Swaminathan; Dmitriy N Feldman; Robert M Minutello; Harsimran S Singh; Geoffrey W Bergman; S Chiu Wong; Luke K Kim
Journal:  Am J Med       Date:  2016-06       Impact factor: 4.965

9.  Atrial fibrillation and heart failure with preserved ejection fraction: Insights on a unique clinical phenotype from a nationally-representative United States cohort.

Authors:  Parag Goyal; Zaid I Almarzooq; Jim Cheung; Hooman Kamel; Udhay Krishnan; Dmitriy N Feldman; Evelyn M Horn; Luke K Kim
Journal:  Int J Cardiol       Date:  2018-09-01       Impact factor: 4.164

10.  Changing the research landscape: the New York City Clinical Data Research Network.

Authors:  Rainu Kaushal; George Hripcsak; Deborah D Ascheim; Toby Bloom; Thomas R Campion; Arthur L Caplan; Brian P Currie; Thomas Check; Emme Levin Deland; Marc N Gourevitch; Raffaella Hart; Carol R Horowitz; Isaac Kastenbaum; Arthur Aaron Levin; Alexander F H Low; Paul Meissner; Parsa Mirhaji; Harold A Pincus; Charles Scaglione; Donna Shelley; Jonathan N Tobin
Journal:  J Am Med Inform Assoc       Date:  2014-05-12       Impact factor: 4.497

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