Evidence map›Paper›PMID 39012508›Full record

Observational studyClinical research in cardiology : official journal of the German Cardiac Society2025

Prediction model for leaflet thrombosis in patients undergoing transcatheter aortic valve implantation: the EFFORT study.

Gloria M Steiner-Gager, Jovan Rogozarski, Christina Kronberger, Al Medina Dizdarevic, Peter Quehenberger, Ruediger Schernthaner, Christian Loewe, Lukas Reider, Andreas Strassl, Katarina Kovacevic Miljevic and 6 more

Abstract readObservational Study
In one paragraph

Observational study in Clinical research in cardiology : official journal of the German Cardiac Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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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

16 authors.

Gloria M Steiner-GagerDepartment of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Jovan RogozarskiDepartment of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Christina KronbergerDepartment of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Al Medina DizdarevicDepartment of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Peter QuehenbergerDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
Ruediger SchernthanerDepartment of Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Christian LoeweDepartment of Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Lukas ReiderDepartment of Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Andreas StrasslDepartment of Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Katarina Kovacevic MiljevicDepartment of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.
Bernd JilmaDepartment of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.
Cihan AyDepartment of Medicine I, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria.
Oliver KönigsbrüggeDepartment of Medicine I, Division of Hematology and Hemostaseology, Medical University of Vienna, Vienna, Austria.
Marek PostulaDepartment of Experimental and Clinical Pharmacology, Centre for Preclinical Research and Technology (CEPT), Medical University of Warsaw, Warsaw, Poland.
Christian HengstenbergDepartment of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Jolanta M Siller-MatulaDepartment of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria. jolanta.siller-matula@meduniwien.ac.at.

Funding

Austrian Science Fund F 5404-B21
6 · The paper itself

Abstract

backgroundLeaflet thrombosis (LT) is a multifaceted and underexplored condition that can manifest following transcatheter aortic valve implantation (TAVI). The objective of this study was to formulate a prediction model based on laboratory assessments and clinical parameters, providing additional guidance and insight into this relatively unexplored aspect of post-TAVI complications.

methodsThe present study was an observational prospective hypothesis-generating study, including 101 patients who underwent TAVI and a screening for LT (the primary endpoint) by multidetector computed tomography (MDCT). All images were acquired on a third-generation dual-source CT system. Levels of von Willebrand factor (vWF) activity, hemoglobin (Hb), and lactate dehydrogenase (LDH) were measured among other parameters. A predictive score utilizing binary logistic regression, Kaplan-Meier time-to-event analysis, and receiver operating characteristics (ROC) analysis was established.

resultsLT (11 subclinical and 2 clinical) was detected in 13 of 101 patients (13%) after a median time to screening by MDCT of 105 days (IQR, 98-129 days). Elevated levels of vWF activity (> 188%) pre-TAVI, decreased Hb values (< 11.9 g/dL), as well as increased levels of LDH (> 312 U/L) post-TAVI and absence of oral anticoagulation (OAC) were found in patients with subsequent LT formation as compared to patients without LT. The established EFFORT score ranged from - 1 to 3 points, with an increased probability for LT development in patients with ≥ 2 points (85.7% of LT cases) vs < 2 points (14.3% of LT cases; p < 0.001). Achieving an EFFORT score of ≥ 2 points was found to be significantly associated with a 10.8 times higher likelihood of developing an LT (p = 0.001). The EFFORT score has an excellent c-statistic (area under the curve (AUC) = 0.89; 95% CI 0.74-1.00; p = 0.001) and a high negative predictive value (98%).

conclusionAn EFFORT score might be a helpful tool to predict LT development and could be used in risk assessment, if validated in confirmatory studies. Therefore, the score has the potential to guide the stratification of individuals for the planning of subsequent MDCT screenings.

Indexed as

Aortic ValveAortic Valve StenosisPostoperative ComplicationsThrombosisTranscatheter Aortic Valve ReplacementAgedAged, 80 and overFemaleHumansMaleMultidetector Computed TomographyPredictive Value of TestsProspective StudiesRisk AssessmentRisk FactorsROC Curvevon Willebrand FactorAortic stenosisEFFORT scoreHemoglobinLDHLeaflet thrombosisMDCTOral anticoagulationPredictive scoreTAVITAVRvWF activity

Identifiers

PMID39012508
PMCPMC12540543

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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.