Evidence map›Paper›PMID 40703107›Full record

ArticleEuropean heart journal. Digital health2025

Cardiac autonomic function score: a novel risk stratification tool in the cardiac intensive care unit based on periodic repolarization dynamics and deceleration capacity of heart rate (LMU-eICU study).

Mathias Klemm, Lukas von Stülpnagel, Valentin Ostermaier, Carsten Theurer, Laura E Villegas Sierra, Felix Wenner, Elodie Eiffener, Aresa Krasniqi, Konstantinos Mourouzis, Lauren E Sams and 4 more

Abstract read
In one paragraph

Article in European heart journal. Digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

14 authors.

Mathias KlemmMedizinische Klinik und Poliklinik I, LMU Klinikum, Ludwigs-Maximilians-University Munich, Ziemsenstr. 5, 80336 Munich, Germany.ORCID https://orcid.org/0009-0005-4617-3446
Lukas von StülpnagelMedizinische Klinik und Poliklinik I, LMU Klinikum, Ludwigs-Maximilians-University Munich, Ziemsenstr. 5, 80336 Munich, Germany.ORCID https://orcid.org/0000-0003-2238-2815
Valentin OstermaierMedizinische Klinik und Poliklinik I, LMU Klinikum, Ludwigs-Maximilians-University Munich, Ziemsenstr. 5, 80336 Munich, Germany.
Carsten TheurerMedizinische Klinik und Poliklinik I, LMU Klinikum, Ludwigs-Maximilians-University Munich, Ziemsenstr. 5, 80336 Munich, Germany.
Laura E Villegas SierraMedizinische Klinik und Poliklinik I, LMU Klinikum, Ludwigs-Maximilians-University Munich, Ziemsenstr. 5, 80336 Munich, Germany.
Felix WennerMedizinische Klinik und Poliklinik I, LMU Klinikum, Ludwigs-Maximilians-University Munich, Ziemsenstr. 5, 80336 Munich, Germany.
Elodie EiffenerMedizinische Klinik und Poliklinik I, LMU Klinikum, Ludwigs-Maximilians-University Munich, Ziemsenstr. 5, 80336 Munich, Germany.ORCID https://orcid.org/0000-0001-5971-4903
Aresa KrasniqiMedizinische Klinik und Poliklinik I, LMU Klinikum, Ludwigs-Maximilians-University Munich, Ziemsenstr. 5, 80336 Munich, Germany.
Konstantinos MourouzisMedizinische Klinik und Poliklinik I, LMU Klinikum, Ludwigs-Maximilians-University Munich, Ziemsenstr. 5, 80336 Munich, Germany.ORCID https://orcid.org/0000-0001-8702-7369
Lauren E SamsMedizinische Klinik und Poliklinik I, LMU Klinikum, Ludwigs-Maximilians-University Munich, Ziemsenstr. 5, 80336 Munich, Germany.ORCID https://orcid.org/0000-0001-7736-9445
Luisa FreyerMedizinische Klinik und Poliklinik I, LMU Klinikum, Ludwigs-Maximilians-University Munich, Ziemsenstr. 5, 80336 Munich, Germany.ORCID https://orcid.org/0009-0009-6302-8266
Steffen MassbergMedizinische Klinik und Poliklinik I, LMU Klinikum, Ludwigs-Maximilians-University Munich, Ziemsenstr. 5, 80336 Munich, Germany.ORCID https://orcid.org/0000-0001-7387-3986
Axel BauerUniversity Hospital for Internal Medicine III, Medical University of Innsbruck, Anichstr. 35, 6020 Innsbruck, Austria.
Konstantinos D RizasMedizinische Klinik und Poliklinik I, LMU Klinikum, Ludwigs-Maximilians-University Munich, Ziemsenstr. 5, 80336 Munich, Germany.ORCID https://orcid.org/0000-0002-5993-0339

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Treatment capacities on intensive care units (ICUs) are a limited resource reserved for high-risk patients. To facilitate risk stratification of ICU patients, several scoring systems have been developed over time. Among them, the Simplified Acute Physiology Score 3 (SAPS3) is the gold standard, but lacks specificity for cardiac ICU patients. Here, we propose a novel, fully automated, electrocardiogram-based cardiac autonomic risk stratification score (CAF Methods and results: CAF Conclusion: ECG-based automatic autonomic risk stratification by means of PRD and DC is highly predictive of short-term mortality in the ICU and can be combined with the SAPS3-Score to identify patients with increased risk for intrahospital mortality. This method can be integrated in conventional monitors and may improve risk stratification strategies in cardiac ICUs.

Indexed as

Autonomic functionDeceleration capacity of heart rateIntensive care unitPeriodic repolarization dynamicsRisk stratification

Identifiers

PMID40703107
PMCPMC12282351

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Registered trials

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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.