Evidence map›Paper›PMID 32755626›Full record

ArticleJournal of cardiac failure2020

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

Parag Goyal, Budhaditya Bose, Ruth Masterson Creber, Udhay Krishnan, Mei Yang, Joanne Brady, Jyotishman Pathak

Open access · greenAbstract read
In one paragraph

Article in Journal of cardiac failure, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Parag GoyalDivision of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, NY; Division of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, New York. Electronic address: pag9051@med.cornell.edu.
Budhaditya BoseDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York.
Ruth Masterson CreberDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York.
Udhay KrishnanDivision of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, NY.
Mei YangMerck & Co., Kenilworth, NJ, USA.
Joanne BradyMerck & Co., Kenilworth, NJ, USA.
Jyotishman PathakDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York.
Cornell University · USMerck & Co., Inc., Rahway, NJ, USA (United States) · USWeill Cornell Medicine · US

Funding

Should we return patient reported outcomes to human subjects participants?-exploring ethical obligationsR00NR016275 · NINR · WEILL MEDICAL COLL OF CORNELL UNIV · PI MASTERSON CREBER, RUTH MARIE · 2018 to 2020
$896k
Impact of Polypharmacy on Rehospitalization in Older Adults with Heart FailureR03AG056446 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI GOYAL, PARAG · 2017 to 2018
$265k
NIA NIH HHS R03 AG056446NINR NIH HHS R00 NR016275
6 · The paper itself

Abstract

backgroundThere 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.

methodsWe 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

resultsWe 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%.

conclusionsICD-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.

Indexed as

Heart FailureElectronic Health RecordsHumansPrognosisStroke VolumeVentricular Function, Leftdiagnostic codesHeart failure

Identifiers

PMID32755626
PMCPMC8918045
OpenAlexW3046368362

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.