Evidence map›Paper›PMID 39056069›Full record

ArticleClinical kidney journal2024

Measures of wave intensity as a non-invasive surrogate for cardiac function predicts mortality in haemodialysis patients.

Christopher C Mayer, Pantelis A Sarafidis, Julia Matschkal, Marieta Theodorakopoulou, Georg Lorenz, Artemios Karagiannidis, Susanne Angermann, Fotini Iatridi, Matthias C Braunisch, Antonios Karpetas and 5 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Christopher C MayerAIT Austrian Institute of Technology, Center for Health & Bioresources, Medical Signal Analysis, Vienna, Austria.ORCID https://orcid.org/0000-0002-5612-5481
Pantelis A SarafidisAristotle University of Thessaloniki, Department of Nephrology, Hippokration Hospital, Thessaloniki, Greece.ORCID https://orcid.org/0000-0002-9174-4018
Julia MatschkalTechnical University of Munich, School of Medicine, Klinikum rechts der Isar, Department of Nephrology, Munich, Germany.
Marieta TheodorakopoulouAristotle University of Thessaloniki, Department of Nephrology, Hippokration Hospital, Thessaloniki, Greece.ORCID https://orcid.org/0000-0001-6216-9635
Georg LorenzTechnical University of Munich, School of Medicine, Klinikum rechts der Isar, Department of Nephrology, Munich, Germany.
Artemios KaragiannidisAristotle University of Thessaloniki, Department of Nephrology, Hippokration Hospital, Thessaloniki, Greece.ORCID https://orcid.org/0000-0002-7054-1422
Susanne AngermannTechnical University of Munich, School of Medicine, Klinikum rechts der Isar, Department of Nephrology, Munich, Germany.
Fotini IatridiAristotle University of Thessaloniki, Department of Nephrology, Hippokration Hospital, Thessaloniki, Greece.ORCID https://orcid.org/0000-0001-8863-227X
Matthias C BraunischTechnical University of Munich, School of Medicine, Klinikum rechts der Isar, Department of Nephrology, Munich, Germany.ORCID https://orcid.org/0000-0001-8527-0699
Antonios KarpetasTherapeutiki Hemodialysis Unit, Thessaloniki, Greece.
Marcus BaumannTechnical University of Munich, School of Medicine, Klinikum rechts der Isar, Department of Nephrology, Munich, Germany.
Eva PellaAristotle University of Thessaloniki, Department of Nephrology, Hippokration Hospital, Thessaloniki, Greece.ORCID https://orcid.org/0000-0001-8383-2184
Uwe HeemannTechnical University of Munich, School of Medicine, Klinikum rechts der Isar, Department of Nephrology, Munich, Germany.
Siegfried WassertheurerAIT Austrian Institute of Technology, Center for Health & Bioresources, Medical Signal Analysis, Vienna, Austria.
Christoph SchmadererTechnical University of Munich, School of Medicine, Klinikum rechts der Isar, Department of Nephrology, Munich, Germany.ORCID https://orcid.org/0000-0002-5803-2190

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Risk prediction in haemodialysis (HD) patients is challenging due to the impact of the dialysis regime on the patient's volume status and the complex interplay with cardiac function, comorbidities and hypertension. Cardiac function as a key predictor of cardiovascular (CV) mortality in HD patients is challenging to assess in daily routine. Thus the aim of this study was to investigate the association of a novel, non-invasive relative index of systolic function with mortality and to assess its interplay with volume removal. Methods: A total of 558 (373 male/185 female) HD patients with a median age of 66 years were included in this analysis. They underwent 24-hour ambulatory blood pressure monitoring, including wave intensity analysis [i.e. S:D ratio (SDR)]. All-cause and CV mortality served as endpoints and multivariate proportional hazards models were used for risk prediction. Intradialytic changes were analysed in tertiles according to ultrafiltration volume. During a follow-up of 37.8 months, 193 patients died (92 due to CV reasons). Results: The SDR was significantly associated with all-cause {univariate hazard ratio [HR] 1.36 [95% confidence interval (CI) 1.20-1.54], Conclusion: This study provides well-powered evidence for the independent association of a novel index of systolic function with mortality. Furthermore, it revealed a significant association between intradialytic changes of the measure and intradialytic volume removal.

Indexed as

blood pressurecardiac functionESKDhaemodialysiswave intensity analysis

Identifiers

PMID39056069
PMCPMC11270016

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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.