Evidence map›Paper›PMID 35887745›Full record

ArticleJournal of clinical medicine2022

Selected Transesophageal Echocardiographic Parameters of Left Ventricular Diastolic Function Predict Length of Stay Following Coronary Artery Bypass Graft-A Prospective Observational Study.

Samhati Mondal, Nauder Faraday, Wei Dong Gao, Sarabdeep Singh, Sachidanand Hebbar, Kimberly N Hollander, Thomas S Metkus, Lee A Goeddel, Maria Bauer, Brian Bush and 11 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 2022. 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
0.7field-weighted citation impact, top 30% 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, 5 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

21 authors at 6 institutions in 1 country.

Samhati MondalDepartment of Anesthesiology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.ORCID 0000-0002-0897-0998
Nauder FaradayDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.
Wei Dong GaoDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.
Sarabdeep SinghJohns Hopkins Medicine, Baltimore, MD 21287, USA.
Sachidanand HebbarDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.
Kimberly N HollanderDepartment of Anesthesiology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.ORCID 0000-0003-1626-197X
Thomas S MetkusDivision of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.
Lee A GoeddelDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.
Maria BauerDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.
Brian BushDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.
Brian ChoDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.ORCID 0000-0003-3594-3247
Stephanie ChaDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.
Stephanie O IbekweDepartment of Anesthesiology, Cardiovascular Division, BTGH, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0001-7303-0137
Domagoj MladinovDepartment of Anesthesiology and Critical Care Medicine, University of Alabama, Birmingham, AL 35233, USA.ORCID 0000-0002-3508-9901
Noah S RolleriDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA.
Laeben LesterDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.
Jochen SteppanDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.ORCID 0000-0001-9856-512X
Rosanne SheinbergDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.
Nadia B HensleyDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.ORCID 0000-0002-2074-8441
Anubhav KapoorDepartment of Anesthesiology, Mercy General Hospital, Sacramento, CA 95819, USA.
Jeffrey M Dodd-ODepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD 21287, USA.
Johns Hopkins University · USUniversity of Maryland, Baltimore · USBaylor College of Medicine · USMercy General Hospital · USUniversity of Alabama at Birmingham · USUniversity of Pittsburgh Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Importance: Abnormal left ventricular (LV) diastolic function, with or without a diagnosis of heart failure, is a common finding that can be easily diagnosed by intra-operative transesophageal echocardiography (TEE). The association of diastolic function with duration of hospital stay after coronary artery bypass (CAB) is unknown. (2) Objective: To determine if selected TEE parameters of diastolic dysfunction are associated with length of hospital stay after coronary artery bypass surgery (CAB). (3) Design: Prospective observational study. (4) Setting: A single tertiary academic medical center. (5) Participants: Patients with normal systolic function undergoing isolated CAB from September 2017 through June 2018. (6) Exposures: LV function during diastole, as assessed by intra-operative TEE prior to coronary revascularization. (7) Main Outcomes and Measures: The primary outcome was duration of postoperative hospital stay. Secondary intermediate outcomes included common postoperative cardiac, respiratory, and renal complications. (8) Results: The study included 176 participants (mean age 65.2 ± 9.2 years, 73% male); 105 (60.2%) had LV diastolic dysfunction based on selected TEE parameters. Median time to hospital discharge was significantly longer for subjects with selected parameters of diastolic dysfunction (9.1/IQR 6.6−13.5 days) than those with normal LV diastolic function (6.5/IAR 5.3−9.7 days) (p < 0.001). The probability of hospital discharge was 34% lower (HR 0.66/95% CI 0.47−0.93) for subjects with diastolic dysfunction based on selected TEE parameters, independent of potential confounders, including a baseline diagnosis of heart failure. There was a dose−response relation between severity of diastolic dysfunction and probability of discharge. LV diastolic dysfunction based on those selected TEE parameters was also associated with postoperative cardio-respiratory complications; however, these complications did not fully account for the relation between LV diastolic dysfunction and prolonged length of hospital stay. (9) Conclusions and Relevance: In patients with normal systolic function undergoing CAB, diastolic dysfunction based on selected TEE parameters is associated with prolonged duration of postoperative hospital stay. This association cannot be explained by baseline comorbidities or common post-operative complications. The diagnosis of diastolic dysfunction can be made by TEE.

Indexed as

coronary artery bypassdiastolic dysfunctionechocardiographicheart failurenonsystolicperioperativetransesophageal echocardiography

Identifiers

PMID35887745
PMCPMC9319456
OpenAlexW4284970340

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.