Evidence map›Paper›PMID 39886314›Full record

ArticleJACC. Advances2025

Multiorgan Dysfunction and its Association With Congestion and Outcome in Aortic Stenosis Treated With TAVI.

Kseniya Halavina, Sophia Koschatko, Charlotte Jantsch, Maximilian Autherith, Fabian Petric, Anna Röckel, Katharina Mascherbauer, Matthias Koschutnik, Carolina Donà, Gregor Heitzinger and 10 more

Abstract read
In one paragraph

Article in JACC. Advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

20 authors.

Kseniya HalavinaDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Sophia KoschatkoDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Charlotte JantschDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Maximilian AutherithDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Fabian PetricDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Anna RöckelDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Katharina MascherbauerDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Matthias KoschutnikDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Carolina DonàDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Gregor HeitzingerDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Varius DannenbergDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Laurenz HauptmannDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Martin AndreasDepartment of Cardiac Surgery, Medical University of Vienna, Vienna, Austria.
Caglayan DemirelDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Rayyan HemetsbergerDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Andreas A KammerlanderDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Christian HengstenbergDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.
Julia MascherbauerDepartment of Cardiology, Karl Landsteiner University of Health Sciences, St Poelten, Austria.
Philipp E BartkoDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria. Electronic address: philippemanuel.bartko@meduniwien.ac.at.
Christian NitscheDepartment of Internal Medicine II, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Degenerative severe aortic stenosis (AS) is treated by valve replacement to improve outcome. Despite diagnostic advancements, many AS patients are still diagnosed late with advanced heart failure. Objectives: The aim of the study was to assess multiorgan dysfunction in severe AS using blood biomarkers and their association with quantitative fluid levels and clinical outcomes after transcatheter aortic valve implantation (TAVI). Methods: Consecutive AS patients undergoing TAVI received comprehensive preinterventional assessment with serum biomarker profiles reflecting organ dysfunction and quantitative fluid overload (FO) using bioelectrical impedance spectroscopy. FO by bioelectrical impedance spectroscopy was defined according to a previously established cut-off (≥1.0 L). Time to first heart failure hospitalization or death served as composite primary endpoint. Results: Among 880 patients (age 81 ± 7 years, 47% female), 41% had FO and 89% had biomarker abnormalities of at least one domain. Ascending fluid levels were independently associated with distorted biomarkers across domains of myocyte stress, hepatic dysfunction, renal dysfunction, inflammation, and anemia. After 2.4 ± 1.0 years of follow-up, 27% had reached the primary endpoint (29 heart failure hospitalization, 194 deaths, 13 both). Biomarkers across all domains were individually and independently associated with outcomes. In a multidomain approach, every affected extra-cardiac domain was associated with a 71% increase in event hazard (adjusted HR: 1.71; 95% CI: 1.39-2.11). Also, for each domain, the combination of distorted biomarkers and FO had the highest event risk. Conclusions: Biomarker abnormalities are highly prevalent in severe AS, influenced by congestion, and associated with impaired prognosis post-TAVI. Multiorgan dysfunction faces a particularly dismal outcome.

Indexed as

anemiainflammationkidneyliverTAVRvolume overload

Identifiers

PMID39886314
PMCPMC11780109

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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.