Evidence map›Paper›PMID 41979780›Full record

ArticleIntensive care medicine experimental2026

Automatic monitoring of single-wall MAPSE by transesophageal echocardiography for tracking global left ventricular function irrespective of regional hypokinesia: a secondary analysis.

Jinyang Yu, Ola Grude, Erik Andreas Rye Berg, Anders Austlid Taskén, Tomas Dybos Tannvik, Katrine Hordnes Slagsvold, Idar Kirkeby-Garstad, Bjørnar Grenne, Svend Aakhus, Gabriel Kiss

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Article in Intensive care medicine experimental, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jinyang YuDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway. jinyang_yu@hotmail.com.ORCID http://orcid.org/0000-0001-5090-4102
Ola GrudeDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Erik Andreas Rye BergDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Anders Austlid TaskénDepartment of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway.
Tomas Dybos TannvikDepartment of Anesthesia and Intensive Care, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway.
Katrine Hordnes SlagsvoldDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Idar Kirkeby-GarstadDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Bjørnar GrenneDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Svend AakhusDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Gabriel KissDepartment of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway.

Funding

Helse Midt-Norge 2020/39645
6 · The paper itself

Abstract

backgroundMeasuring mitral annular plane systolic excursion (MAPSE) serially in a single wall may be an effective method for monitoring global left ventricular (LV) function, especially when automated with a novel deep learning method using transesophageal echocardiography, called autoMAPSE. However, this assumption is untested in postoperative ICU patients, and the impact of regional wall motion abnormalities (RWMA) is unclear.

aimTo assess the ability of single-wall autoMAPSE in tracking changes in global LV function (i.e., trending ability) using manual global MAPSE averaged from four walls as reference, and to explore how this ability was affected by RWMA.

methodsThis study was a secondary analysis of a prospective observational study. The changes in single-wall autoMAPSE and manual global MAPSE were calculated in 49 patients undergoing cardiac surgery. Trending ability evaluates how well a novel method detects changes in a reference method, which we assessed using four-quadrant plots with concordance rates. To explore the effects of RWMA, we classified RWMA by temporal behavior (persistent or dynamic) and by location relative to single-wall autoMAPSE (same or remote wall), yielding four patterns for analysis of trending ability: (i) remote wall, dynamic RWMA, (ii) remote wall, persistent RWMA, (iii) same wall, dynamic RWMA, and (iv) same wall, persistent RWMA.

resultsOverall, single-wall autoMAPSE had adequate trending ability (concordance rate 91%). All LV walls showed adequate trending ability (concordance rate ≥ 90%), except for the septal wall (concordance rate 88%). The effect of RWMA was negligible, as the concordance rates of the four patterns ranged from 89 to 96%.

conclusionsIn this secondary analysis, single-wall autoMAPSE tracked changes in global LV function in 9 out of 10 cases, irrespective of RWMA.

Indexed as

Artificial intelligenceDeep learningHemodynamic monitoringLeft ventricular functionMAPSERegional wall motion abnormalitiesTransesophageal echocardiography

Identifiers

PMID41979780
PMCPMC13079241

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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.