Evidence map›Paper›PMID 40676456›Full record

ArticleJournal of clinical monitoring and computing2026

Monitoring systemic ventriculoarterial coupling after cardiac surgery using continuous transoesophageal echocardiography and deep learning.

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

Abstract read
In one paragraph

Article in Journal of clinical monitoring and computing, 2026. 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
–field-weighted citation impact
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.

  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

10 authors.

Jinyang YuDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway. jinyang_yu@hotmail.com.ORCID 0000-0001-5090-4102
Tomas Dybos TannvikDepartment of Anesthesia and Intensive Care, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway.ORCID 0000-0003-3755-6312
Anders Austlid TaskénDepartment of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-5618-5556
Erik Andreas Rye BergDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0001-6658-7594
Katrine Hordnes SlagsvoldDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0001-9163-6298
Idar Kirkeby-GarstadDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-2941-6187
Eirik SkogvollDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-6984-0708
Gabriel KissDepartment of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0001-5024-1548
Bjørnar GrenneDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-2984-6865
Svend AakhusDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-0840-4013

Funding

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

Abstract

Deterioration of ventriculoarterial coupling is detrimental to cardiovascular and left ventricular function. To enable continuous monitoring of left ventricular function, we have developed autoMAPSE, a new tool that combines transoesophageal echocardiography with deep learning for automatic measurement of mitral annular plane systolic excursion. We hypothesised that autoMAPSE could be used to monitor systemic ventriculoarterial coupling and detect alterations in postoperative cardiac biomarkers. To test this hypothesis, we monitored 50 patients for 120 min immediately after cardiac surgery by measuring autoMAPSE and mean arterial pressure (MAP) every 5 min. Postoperative N-terminal pro B-type natriuretic peptide (ProBNP) and high-sensitivity troponin-T (TnT) were measured twice daily until the evening of postoperative day 1. Ventriculoarterial coupling was assessed non-invasively by calculating arterial elastance and end-systolic elastance (Ea/Ees-ratio). The relationship between autoMAPSE and ventriculoarterial coupling was assessed by 1) correlating Ea/Ees-ratio with one simultaneous autoMAPSE measurement, and 2) relating the measurements of autoMAPSE with corresponding MAP within each patient using a linear mixed model with random slopes. We found that autoMAPSE correlated negatively with Ea/Ees-ratio (rho = - 0.61, P < 0.05). Furthermore, the individual slopes relating autoMAPSE to MAP were highly significant (P < 0.001) and markedly heterogeneous (both positive and negative), suggesting that ventriculoarterial coupling differs substantially in different individual patients. Finally, continuous autoMAPSE measurements were negatively correlated with both peak postoperative ProBNP (rho = - 0.46, P < 0.001) and TnT (rho = - 0.29, P < 0.05). In conclusion, continuous monitoring using autoMAPSE in the first two postoperative hours reflected ventriculoarterial coupling as well as peak ProBNP and TnT during the subsequent 24 h.

Indexed as

Cardiac Surgical ProceduresDeep LearningEchocardiography, TransesophagealAgedArterial PressureBiomarkersFemaleHeart VentriclesHumansMaleMiddle AgedMitral ValveMonitoring, PhysiologicNatriuretic Peptide, BrainPeptide FragmentsPostoperative PeriodBiomarkersNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Troponin TDeep learningHemodynamic monitoringLeft ventricular functionMitral annular plane systolic excursionTransoesophageal echocardiographyVentriculoarterial coupling

Identifiers

PMID40676456
PMCPMC13053427

What OpenQuestion holds

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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.