Evidence map›Paper›PMID 36972280›Full record

ArticlePloS one2023

Impact of acute TTE-evidenced cardiac dysfunction on in-hospital and outpatient mortality: A multicenter NYC COVID-19 registry study.

Edwin A Homan, Richard B Devereux, Katherine A Tak, Hannah W Mitlak, Alexander Volodarskiy, Kumudha Ramasubbu, David T Zhang, Arielle Kushman, Meridith P Pollie, Hannah K Agoglia and 10 more

Open access · goldFull text readMulticenter Study
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

20 authors at 4 institutions in 1 country.

Edwin A HomanDivision of Cardiology, Department of Medicine, Weill Cornell Medicine / New York Presbyterian Hospital, New York, New York, United States of America.
Richard B DevereuxDivision of Cardiology, Department of Medicine, Weill Cornell Medicine / New York Presbyterian Hospital, New York, New York, United States of America.
Katherine A TakDivision of Cardiology, Department of Medicine, Weill Cornell Medicine / New York Presbyterian Hospital, New York, New York, United States of America.
Hannah W MitlakDivision of Cardiology, Department of Medicine, Weill Cornell Medicine / New York Presbyterian Hospital, New York, New York, United States of America.
Alexander VolodarskiyNew York Presbyterian Hospital-Queens, New York, New York, United States of America.
Kumudha RamasubbuNew York Presbyterian Hospital-Brooklyn Methodist, New York, New York, United States of America.
David T ZhangDivision of Cardiology, Department of Medicine, Weill Cornell Medicine / New York Presbyterian Hospital, New York, New York, United States of America.ORCID 0000-0002-3358-4458
Arielle KushmanDivision of Cardiology, Department of Medicine, Weill Cornell Medicine / New York Presbyterian Hospital, New York, New York, United States of America.
Meridith P PollieDivision of Cardiology, Department of Medicine, Weill Cornell Medicine / New York Presbyterian Hospital, New York, New York, United States of America.
Hannah K AgogliaDivision of Cardiology, Department of Medicine, Weill Cornell Medicine / New York Presbyterian Hospital, New York, New York, United States of America.
Romina TafreshiDivision of Cardiology, Department of Medicine, Weill Cornell Medicine / New York Presbyterian Hospital, New York, New York, United States of America.
Parag GoyalDivision of Cardiology, Department of Medicine, Weill Cornell Medicine / New York Presbyterian Hospital, New York, New York, United States of America.
Leslee ShawIcahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Lishomwa NdhlovuDivision of Infectious Disease, Department of Medicine, Weill Cornell Medicine, New York, New York, United States of America.
Arindam RoyChoudhuryDivision of Biostatistics, Department of Population Health Sciences, Weill Cornell Medicine, New York, New York, United States of America.
Evelyn HornDivision of Cardiology, Department of Medicine, Weill Cornell Medicine / New York Presbyterian Hospital, New York, New York, United States of America.
Nupoor NarulaDivision of Cardiology, Department of Medicine, Weill Cornell Medicine / New York Presbyterian Hospital, New York, New York, United States of America.
Monika M SaffordDivision of General Internal Medicine, Department of Medicine, Weill Cornell Medicine / New York Presbyterian Hospital New York, New York, New York, United States of America.
Jonathan W WeinsaftDivision of Cardiology, Department of Medicine, Weill Cornell Medicine / New York Presbyterian Hospital, New York, New York, United States of America.
Jiwon KimDivision of Cardiology, Department of Medicine, Weill Cornell Medicine / New York Presbyterian Hospital, New York, New York, United States of America.ORCID 0000-0002-8420-8604
NewYork–Presbyterian Hospital · USCornell University · USIcahn School of Medicine at Mount Sinai · USNew York Hospital Queens · US

Funding

Cardiac Magnetic Resonance for Tissue Characterization Based Risk Stratification of Cardiopulmonary Symptoms, Effort Tolerance, and Prognosis Among COVID-19 SurvivorsR01HL159055 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KIM, JIWON · 2021 to 2025
$3.4M
Advanced CMR Tissue-Based Prediction of Right Ventricular Dysfunction and Revascularization ResponseK23HL140092 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KIM, JIWON · 2018 to 2022
$847k
NHLBI NIH HHS K23 HL140092NHLBI NIH HHS R01 HL159055
6 · The paper itself

Abstract

backgroundCOVID-19 is associated with cardiac dysfunction. This study tested the relative prognostic role of left (LV), right and bi- (BiV) ventricular dysfunction on mortality in a large multicenter cohort of patients during and after acute COVID-19 hospitalization. METHODS/

resultsAll hospitalized COVID-19 patients who underwent clinically indicated transthoracic echocardiography within 30 days of admission at four NYC hospitals between March 2020 and January 2021 were studied. Images were re-analyzed by a central core lab blinded to clinical data. Nine hundred patients were studied (28% Hispanic, 16% African-American), and LV, RV and BiV dysfunction were observed in 50%, 38% and 17%, respectively. Within the overall cohort, 194 patients had TTEs prior to COVID-19 diagnosis, among whom LV, RV, BiV dysfunction prevalence increased following acute infection (p<0.001). Cardiac dysfunction was linked to biomarker-evidenced myocardial injury, with higher prevalence of troponin elevation in patients with LV (14%), RV (16%) and BiV (21%) dysfunction compared to those with normal BiV function (8%, all p<0.05). During in- and out-patient follow-up, 290 patients died (32%), among whom 230 died in the hospital and 60 post-discharge. Unadjusted mortality risk was greatest among patients with BiV (41%), followed by RV (39%) and LV dysfunction (37%), compared to patients without dysfunction (27%, all p<0.01). In multivariable analysis, any RV dysfunction, but not LV dysfunction, was independently associated with increased mortality risk (p<0.01).

conclusionsLV, RV and BiV function declines during acute COVID-19 infection with each contributing to increased in- and out-patient mortality risk. RV dysfunction independently increases mortality risk.

Indexed as

COVID-19Heart DiseasesVentricular Dysfunction, LeftAftercareCardiac Pacing, ArtificialCOVID-19 TestingHospitalsHumansOutpatientsPatient Discharge

Identifiers

PMID36972280
PMCPMC10042347
OpenAlexW4361017366

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read474
table measurements read267
identifiers read10
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.