Evidence map›Paper›PMID 38942790›Full record

ArticleScientific reports2024

Subclinical leaflet thrombus in patients with severe aortic stenosis and atrial fibrillation -ENRICH-AF TAVI study.

Yasuhiro Otsuka, Masanobu Ishii, Noriaki Tabata, Seitaro Oda, Masafumi Kidoh, Yuichiro Shirahama, Koichi Egashira, Naoto Kuyama, Taku Rokutanda, Katsuo Noda and 11 more

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

21 authors.

Yasuhiro OtsukaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo Chuo-ku, Kumamoto, 860-8556, Japan.
Masanobu IshiiDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo Chuo-ku, Kumamoto, 860-8556, Japan. mishii4@kumamoto-u.ac.jp.
Noriaki TabataDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo Chuo-ku, Kumamoto, 860-8556, Japan.
Seitaro OdaDepartment of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Masafumi KidohDepartment of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Yuichiro ShirahamaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo Chuo-ku, Kumamoto, 860-8556, Japan.
Koichi EgashiraDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo Chuo-ku, Kumamoto, 860-8556, Japan.
Naoto KuyamaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo Chuo-ku, Kumamoto, 860-8556, Japan.
Taku RokutandaKumamoto Central Hospital, Kumamoto, Japan.
Katsuo NodaKumamoto Central Hospital, Kumamoto, Japan.
Eiji HorioSaiseikai Kumamoto Hospital, Kumamoto, Japan.
Tomohiro SakamotoSaiseikai Kumamoto Hospital, Kumamoto, Japan.
Takashi KudoFukuoka Tokushukai Medical Center, Fukuoka, Japan.
Hideki ShimomuraFukuoka Tokushukai Medical Center, Fukuoka, Japan.
Tomokazu IkemotoJapanese Red Cross Kumamoto Hospital, Kumamoto, Japan.
Ryusuke TsunodaJapanese Red Cross Kumamoto Hospital, Kumamoto, Japan.
Taishi NakamuraDepartment of Medical Information Science, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo Chuo-ku, Kumamoto, 860-8556, Japan.
Kunihiko MatsuiDepartment of General Medicine and Primary Care, Kumamoto University Hospital, Kumamoto, Japan.
Koichi KaikitaDivision of Cardiovascular Medicine and Nephrology, Department of Internal Medicine, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan.
Kenichi TsujitaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo Chuo-ku, Kumamoto, 860-8556, Japan.
ENRICH AF TAVI Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subclinical leaflet thrombosis (SLT) can be one of the causes of transcatheter heart valve (THV) failure after transcatheter aortic valve implantation (TAVI). We sought to clarify the formation process of SLT and thrombogenicity during the perioperative period of TAVI. This multicenter, prospective, single-arm interventional study enrolled 26 patients treated with edoxaban for atrial fibrillation and who underwent TAVI for severe aortic stenosis between September 2018 and September 2022. We investigated changes in maximal leaflet thickness detected by contrast-enhanced computed tomography between 1 week and 3 months after TAVI in 18 patients and measured the thrombogenicity by Total Thrombus-formation Analysis System (T-TAS) and flow stagnation volume by computational fluid dynamics (CFD) (n = 11). SLT was observed in 16.7% (3/18) at 1 week, but decreased to 5.9% (1/17) at 3 months after TAVI. Patients with SLT at 1 week had a significantly decreased maximal leaflet thickness compared to those without SLT. Thrombogenicity assessed by T-TAS decreased markedly at 1 week and tended to increase at 3 months. The stagnation volume assessed by CFD was positively associated with a higher maximum leaflet thickness. This study showed the course of leaflet thrombus formation and visualization of stagnation in neo-sinus of THV in the acute phase after TAVI.

Indexed as

Aortic Valve StenosisAtrial FibrillationThrombosisTranscatheter Aortic Valve ReplacementAgedAged, 80 and overAortic ValveFemaleHumansMaleProspective StudiesPyridinesSeverity of Illness IndexThiazolesedoxabanPyridinesThiazolesCFDDOACLeaflet thrombosisTAVIT-TAS

Identifiers

PMID38942790
PMCPMC11213935

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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.