Evidence map›Paper›PMID 37822060›Full record

ArticleEuropean journal of clinical investigation2024

A novel speckle-tracking echocardiography parameter assessing left ventricular afterload.

Kei Sato, Karin Wildi, Jonathan Chan, Chiara Palmieri, Nchafatso G Obonyo, Silver Heinsar, Keibun Liu, Samantha Livingstone, Noriko Sato, Carmen Ainola and 9 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of clinical investigation, 2024. 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
1.1field-weighted citation impact, top 21% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  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

19 authors at 3 institutions in 4 countries.

Kei SatoCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0002-3338-1984
Karin WildiCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Jonathan ChanCardiology Department, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Chiara PalmieriThe University of Queensland, School of Veterinary Science, Gatton, Australia.
Nchafatso G ObonyoCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Silver HeinsarCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Keibun LiuCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Samantha LivingstoneCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Noriko SatoCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Carmen AinolaCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Gabriella AbbateCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Mahé BouquetCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Emily WilsonCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Margaret PassmoreCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Kieran HyslopCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
David G PlattsCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Jacky SuenCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Gianluigi Li BassiCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
John F FraserCritical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
The University of Queensland · AUPrince Charles Hospital · AUGriffith University · AU

Funding

Prince Charles Hospital Foundation INN2018-101Wellcome Trust 227131Wesley Medical Research Foundation 2020-20
6 · The paper itself

Abstract

backgroundLeft ventricular stroke work index (LVSWI) and afterload-related cardiac performance (ACP) consider left ventricular (LV) afterload and could be better prognosticators in septic cardiomyopathy. However, their invasive nature prevents their routine clinical applications. This study aimed to investigate (1) whether a proposed speckle-tracking echocardiography parameter, Pressure-Strain Product (PSP), can non-invasively predict catheter-based LVSWI, ACP and serum lactate in an ovine model of septic cardiomyopathy; and (2) whether PSP can distinguish the sub-phenotypes of acute respiratory distress syndrome (ARDS) with or without sepsis-like conditions.

methodsSixteen sheep with ARDS were randomly assigned to either (1) sepsis-like (n = 8) or (2) non-sepsis-like (n = 8) group. Each ARDS and sepsis-like condition was induced by intravenous infusion of oleic acid and lipopolysaccharide, respectively. Pulmonary artery catheter-based LVSWI (the product of stroke work index, mean arterial pressure and .0136), ACP (the percentage of cardiac output measured to cardiac output predicted as normal) and serum lactate were measured simultaneously with transthoracic echocardiography. Two PSP indices were calculated by multiplying the mean arterial blood pressure and either global circumferential strain (PSPcirc) or radial strain (PSPrad).

resultsPSPcirc showed a significant correlation with LVSWI (r

conclusionsA novel PSP has the potential to non-invasively predict catheter-based LVSWI and ACP, and was associated with serum lactate in septic cardiomyopathy.

Indexed as

CardiomyopathiesRespiratory Distress SyndromeSepsisStrokeVentricular Dysfunction, LeftAnimalsEchocardiographyLactatesSheepStroke VolumeVentricular Function, LeftLactatesafterload-related cardiac performanceleft ventricular stroke work indexseptic cardiomyopathyspeckle-tracking echocardiography

Identifiers

PMID37822060
PMCPMC7616760
OpenAlexW4387563285

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.