Evidence map›Paper›PMID 37981631›Full record

ArticleThe international journal of cardiovascular imaging2024

Prognostic value of flow-status in severe aortic stenosis patients undergoing percutaneous intervention.

Diogo Santos-Ferreira, Isabel Fernandes, Sílvia O Diaz, Cláudio Guerreiro, Francisca Saraiva, António S Barros, Adelino Leite-Moreira, Eulália Pereira, Francisco Sampaio, José Ribeiro and 2 more

Open access · hybridAbstract read
In one paragraph

Article in The international journal of cardiovascular imaging, 2024. 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
0.2field-weighted citation impact, top 39% of its field
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, 1 citations in OpenAlex.

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

12 authors at 2 institutions in 1 country.

Diogo Santos-Ferreira *Cardiology Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, Rua Conceição Fernandes, Vila Nova de Gaia, 4434-502, Portugal.
Isabel Fernandes *Department of Surgery and Physiology, UnIC@RISE, Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, Porto, 4200-319, Portugal.
Sílvia O DiazDepartment of Surgery and Physiology, UnIC@RISE, Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, Porto, 4200-319, Portugal.
Cláudio GuerreiroCardiology Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, Rua Conceição Fernandes, Vila Nova de Gaia, 4434-502, Portugal.
Francisca SaraivaDepartment of Surgery and Physiology, UnIC@RISE, Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, Porto, 4200-319, Portugal.
António S BarrosDepartment of Surgery and Physiology, UnIC@RISE, Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, Porto, 4200-319, Portugal.
Adelino Leite-MoreiraDepartment of Surgery and Physiology, UnIC@RISE, Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, Porto, 4200-319, Portugal.
Eulália PereiraCardiology Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, Rua Conceição Fernandes, Vila Nova de Gaia, 4434-502, Portugal.
Francisco SampaioCardiology Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, Rua Conceição Fernandes, Vila Nova de Gaia, 4434-502, Portugal.
José RibeiroCardiology Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, Rua Conceição Fernandes, Vila Nova de Gaia, 4434-502, Portugal.
Pedro BragaCardiology Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, Rua Conceição Fernandes, Vila Nova de Gaia, 4434-502, Portugal.
Ricardo Fontes-CarvalhoCardiology Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, Rua Conceição Fernandes, Vila Nova de Gaia, 4434-502, Portugal. fontes.carvalho@gmail.com.
Universidade do Porto · PTCentro Hospitalar de Vila Nova de Gaia · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLow-flow status is a mortality predictor in severe aortic stenosis (SAS) patients, including after transcatheter aortic valve implantation (TAVI) treatment. However, the best parameter to assess flow is unknown. Recent studies suggest that transaortic flow rate (FR) is superior to currently used stroke volume index (SVi) in defining low-flow states. Therefore, we aimed to evaluate the prognostic value of FR and SVi in patients undergoing TAVI.

methodsA single-centre retrospective analysis of all consecutive patients treated with TAVI for SAS between 2011 and 2019 was conducted. Low-FR was defined as < 200 mL/s and low-SVi as < 35 mL/m

resultsOf 489 cases, 59.5% were low-FR, and 43.1% low-SVi. Low-flow patients had superior surgical risk, worse renal function, and had a higher prevalence of coronary artery disease. Low-FR was associated with mortality (hazard ratio 1.36, p = 0.041), but not after adjustment to EuroSCORE II. Normal-SVi was not associated with survival, despite a significative p-trend for its continuous value. No associations were found for flow-status and NYHA recovery. When stratifying according to preserved and reduced EF, both FR and SVi did not predict all-cause mortality.

conclusionIn patients with SAS undergoing TAVI, a low-FR state was associated with higher mortality, as well as SVi, but not at a 35 mL/m

Indexed as

Aortic Valve StenosisHeart Valve Prosthesis ImplantationTranscatheter Aortic Valve ReplacementAortic ValveHumansPredictive Value of TestsPrognosisRetrospective StudiesRisk FactorsSeverity of Illness IndexStroke VolumeTreatment OutcomeAortic valve stenosisFlow rateLow flowPrognosisStroke volume indexTranscatheter aortic valve replacement

Identifiers

PMID37981631
PMCPMC10884040
OpenAlexW4388806370

What OpenQuestion holds

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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.