Evidence map›Paper›PMID 33351853›Full record

ArticlePloS one2020

Retrospective evaluation of echocardiographic variables for prediction of heart failure hospitalization in heart failure with preserved versus reduced ejection fraction: A single center experience.

Michael M Hammond, Changyu Shen, Stephanie Li, Dhruv S Kazi, Marwa A Sabe, A Reshad Garan, Lawrence J Markson, Warren J Manning, Allan L Klein, Sherif F Nagueh and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

11 authors at 4 institutions in 1 country.

Michael M HammondDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America.
Changyu ShenDivision of Cardiovascular Medicine, Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, United States of America.
Stephanie LiHarvard Medical School, Boston, MA, United States of America.
Dhruv S KaziDivision of Cardiovascular Medicine, Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, United States of America.
Marwa A SabeDivision of Cardiovascular Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States of America.
A Reshad GaranDivision of Cardiovascular Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States of America.ORCID 0000-0001-7510-075X
Lawrence J MarksonHarvard Medical School, Boston, MA, United States of America.
Warren J ManningDivision of Cardiovascular Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States of America.
Allan L KleinThe Robert and Suzanne Tomsich Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, United States of America.
Sherif F NaguehDepartment of Cardiology, Houston Methodist Hospital, Weill Cornell Medical College, Houston, TX, United States of America.
Jordan B StromDivision of Cardiovascular Medicine, Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, United States of America.ORCID 0000-0002-6592-6141
Beth Israel Deaconess Medical Center · USBoston University · USCleveland Clinic Lerner College of Medicine · USCornell University · US

Funding

Identification of the Components of Frailty Using Administrative Data and Metabolite ProfilingK23HL144907 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI STROM, JORDAN BLAIR · 2019 to 2023
$1.0M
NHLBI NIH HHS K23 HL144907
6 · The paper itself

Abstract

backgroundLimited data exist on the differential ability of variables on transthoracic echocardiogram (TTE) to predict heart failure (HF) readmission across the spectrum of left ventricular (LV) systolic function.

methodsWe linked 15 years of TTE report data (1/6/2003-5/3/2018) at Beth Israel Deaconess Medical Center to complete Medicare claims. In those with recent HF, we evaluated the relationship between variables on baseline TTE and HF readmission, stratified by LVEF.

resultsAfter excluding TTEs with uninterpretable diastology, 5,900 individuals (mean age: 76.9 years; 49.1% female) were included, of which 2545 individuals (41.6%) were admitted for HF. Diastolic variables augmented prediction compared to demographics, comorbidities, and echocardiographic structural variables (p < 0.001), though discrimination was modest (c-statistic = 0.63). LV dimensions and eccentric hypertrophy predicted HF in HF with reduced (HFrEF) but not preserved (HFpEF) systolic function, whereas LV wall thickness, NT-proBNP, pulmonary vein D- and Ar-wave velocities, and atrial dimensions predicted HF in HFpEF but not HFrEF (all interaction p < 0.10). Prediction of HF readmission was not different in HFpEF and HFrEF (p = 0.93).

conclusionsIn this single-center echocardiographic study linked to Medicare claims, left ventricular dimensions and eccentric hypertrophy predicted HF readmission in HFrEF but not HFpEF and left ventricular wall thickness predicted HF readmission in HFpEF but not HFrEF. Regardless of LVEF, diastolic variables augmented prediction of HF readmission compared to echocardiographic structural variables, demographics, and comorbidities alone. The additional role of medication adherence, readmission history, and functional status in differential prediction of HF readmission by LVEF category should be considered for future study.

Indexed as

AgedAged, 80 and overEchocardiographyFemaleHeart FailureHeart VentriclesHumansMaleMedicarePatient ReadmissionRetrospective StudiesStroke VolumeUnited States

Identifiers

PMID33351853
PMCPMC7755281
OpenAlexW3115548431

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.