Evidence map›Paper›PMID 31302789›Full record

ArticleJournal of clinical monitoring and computing2020

Feasibility evaluation of non-invasive cardiac function technology during echocardiography-based cardiac stress testing.

Davinder Ramsingh, Michael Ma, Jin Kyung Kim, Margaret Knoll, John W Patton, Maxime Cannesson

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical monitoring and computing, 2020. 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
0.3field-weighted citation impact, top 37% 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

6 authors at 4 institutions in 1 country.

Davinder RamsinghDepartment of Anesthesiology & Perioperative Care, Loma Linda University Medical Center, 11234 Anderson Street, MC-2532-D, Loma Linda, CA, 92354, USA. dramsingh@llu.edu.ORCID http://orcid.org/0000-0002-8670-7300
Michael MaDepartment of Anesthesiology, University of California Irvine Medical Center, Orange, CA, USA.
Jin Kyung KimDivision of Cardiology, Department of Medicine, University of California Irvine Medical Center, Orange, CA, USA.
Margaret KnollDivision of Cardiology, Department of Medicine, University of California Irvine Medical Center, Orange, CA, USA.
John W PattonDepartment of Anesthesiology, Stanford University School of Medicine, Stanford, CA, USA.
Maxime CannessonDepartment of Anesthesiology, Ronald Reagan University of California-Los Angeles Medical Center, Los Angeles, CA, USA.
University of California, Irvine Medical Center · USLoma Linda University Medical Center · USStanford University · USUniversity of California, Los Angeles · US

Funding

Predicting Patient Instability Noninvasively for Nursing Care-Two (PPINNC-2)R01NR013912 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AL-ZAITI, SALAH S, CLERMONT, GILLES · 2012 to 2025
$7.0M
Machine Learning of Physiological Waveforms and Electronic Health Record Data to Predict, Diagnose, and Treat Hemodynamic Instability in Surgical PatientsR01HL144692 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CANNESSON, MAXIME · 2019 to 2023
$3.5M
Machine learning of physiological variables to predict diagnose and treat cardiorespiratory instabilityR01GM117622 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PINSKY, MICHAEL R · 2016 to 2019
$2.4M
NHLBI NIH HHS R01 HL144692NIGMS NIH HHS R01 GM117622NINR NIH HHS R01 NR013912
6 · The paper itself

Abstract

Evaluation of cardiac function during periods of stress is of key importance for the perioperative setting. Non-invasive hemodynamic monitors provide markers of cardiac function. This pilot study sought to evaluate the ability of a non-invasive hemodynamic monitor to detect cardiac stress during formal stress echocardiography testing. The primary goal was to compare the change in hemodynamic values during the pre/during/post phases of stress echocardiography testing in patients who had results negative versus positive for myocardial ischemia. Adult patients scheduled for outpatient cardiac stress testing were screened. Only patients scheduled for stress-echocardiography testing were consented. Patients with history of arrhythmias were excluded. During the testing, patients wore a cuff-based hemodynamic sensor (Nexfin system, Edwards Lifesciences). Data from the hemodynamic sensor were compared to the findings of the stress study. A total of 37 patients were enrolled, with 31 patients included for analysis. Five patients had stress studies positive for coronary ischemia. Comparison of the hemodynamic variables between patients who had a positive stress study versus negative showed a significant reduction in the percentage change in dP/dt and stroke volume from baseline (p < 0.05). This pilot study indicates that patients who have abnormal stress echocardiograms also have significantly reduced values from a noninvasive hemodynamic monitor. Further evaluation of the clinical utility of this technology, to assist in the care of patients at risk for cardiac ischemia, should be carried out.

Indexed as

AdultAgedCardiologyDobutamineEchocardiographyExercise TestFeasibility StudiesFemaleHemodynamicsHumansMaleMiddle AgedMonitoring, PhysiologicMyocardial IschemiaPilot ProjectsRisk AssessmentDobutamineCardiac stress testingNon-invasive hemodynamic monitoringPreoperative cardiac function evaluationPreoperative risk-stratificationPreoperative testing

Identifiers

PMID31302789
PMCPMC6955388
OpenAlexW2960331190

What OpenQuestion holds

Textmetadata
LicenceTDM
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.