Evidence map›Paper›PMID 41866824›Full record

ArticlePhysiological reports2026

Non-invasive cardiac power measurements in decompensated heart failure in elderly adults: A prospective proof-of-concept study.

Ingrid Yttervoll, Andreas Østvik, Petter Aadahl, Rune Mo, Bjørnar Grenne, Idar Kirkeby-Garstad

Abstract read
In one paragraph

Article in Physiological reports, 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ingrid YttervollDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.ORCID https://orcid.org/0009-0002-9873-7723
Andreas ØstvikDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.ORCID https://orcid.org/0000-0003-3895-2683
Petter AadahlDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
Rune MoDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.ORCID https://orcid.org/0000-0003-3647-4796
Bjørnar GrenneDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.ORCID https://orcid.org/0000-0002-2984-6865
Idar Kirkeby-GarstadDepartment of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.ORCID https://orcid.org/0000-0002-2941-6187

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this proof-of-concept study, we evaluated the feasibility of non-invasive estimation of cardiac power metrics-total power, steady power, oscillatory power, and oscillatory power fraction-and compared the prognostic and diagnostic value with established echocardiographic metrics. We prospectively included 29 patients (mean age 76 ± 13 years, 24% women) hospitalized with decompensated heart failure. Left ventricular outflow tract flow waveforms were derived from Doppler echocardiography and synchronized with a continuous arterial pressure waveform from a finger-volume-clamp device (INL382, Finapres Medical Systems B.V., Amsterdam, Netherlands). Total power was computed as the integral of the instantaneous pressure-flow product per second, steady power as mean arterial pressure multiplied by mean flow, and oscillatory power as their difference. All measures were calculated from the same consecutive heartbeats covering three respiratory cycles. The feasibility of obtaining cardiac power metrics was 91%. Total, steady, and oscillatory power predicted short-term all-cause mortality (log rank p < 0.015), whereas left ventricular ejection fraction, global longitudinal strain, and myocardial work indices did not. These findings suggest that cardiac power metrics may be useful in risk stratification and warrant validation in larger cohorts.

Indexed as

Heart FailureAgedAged, 80 and overEchocardiography, DopplerFemaleHumansMaleProof of Concept StudyProspective StudiesStroke VolumeVentricular Function, Leftcardiac powerhaemodynamicsheart failureoscillatory power fraction

Identifiers

PMID41866824
PMCPMC13097327

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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.