Evidence map›Paper›PMID 40984991›Full record

ArticleEuropean heart journal. Digital health2025

Construct validity of automated assessment of invasively measured hemodynamics during transcatheter aortic valve replacement.

Niels A Stens, Geert A A Versteeg, Maxim J P Rooijakkers, Roos de Lange, Stijn J H Bonekamp, Marleen H van Wely, Robert Jan M van Geuns, Michel W A Verkroost, Leen A F M van Garsse, Guillaume S C Geuzebroek and 4 more

Abstract read
In one paragraph

Article in European heart journal. Digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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

14 authors.

Niels A StensDepartment of Cardiology, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0001-7487-151X
Geert A A VersteegDepartment of Cardiology, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
Maxim J P RooijakkersDepartment of Cardiology, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0002-6815-7667
Roos de LangeDepartment of Cardiology, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
Stijn J H BonekampDepartment of Cardiology, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
Marleen H van WelyDepartment of Cardiology, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
Robert Jan M van GeunsDepartment of Cardiology, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
Michel W A VerkroostDepartment of Cardiothoracic Surgery, Radboud University Medical Center, Nijmegen, The Netherlands.
Leen A F M van GarsseDepartment of Cardiothoracic Surgery, Radboud University Medical Center, Nijmegen, The Netherlands.
Guillaume S C GeuzebroekDepartment of Cardiothoracic Surgery, Radboud University Medical Center, Nijmegen, The Netherlands.
Robin H HeijmenDepartment of Cardiothoracic Surgery, Radboud University Medical Center, Nijmegen, The Netherlands.
Lokien X van NunenDepartment of Cardiology, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
Dick H J ThijssenDepartment of Medical BioSciences, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0002-7707-5567
Niels van RoyenDepartment of Cardiology, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0001-6136-8640

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Paravalvular regurgitation (PVR) is frequently observed following Transcatheter Aortic Valve Replacement (TAVR). Periprocedural monitoring of invasive hemodynamics has shown promise for diagnosis of PVR, but automated software options are lacking. We aimed to develop a rule-based algorithm for automated assessment of hemodynamic indices of PVR, and evaluate its construct validity and discriminatory value for cardiac magnetic resonance (CMR)-derived relevant PVR compared to standard manual hemodynamic assessment. Methods and results: Left ventricular and aortic pressures were invasively measured during TAVR using fluid-filled pigtail catheters. To evaluate construct validity of automated vs. manual assessment of invasive hemodynamics, we compared (i) proportion of cardiac cycles affected by arrhythmias/noise, (ii) pressure gradients, and (iii) PVR indices. Additionally, we compared the discriminatory value of automatically and manually determined PVR indices for CMR-determined relevant PVR at 30-days. In total, 77 patients were enrolled (664 cardiac cycles). Automated filtering of cardiac cycles affected by arrhythmias/noise had a high sensitivity (95.2%) and specificity (86.4%). In addition, excellent agreement was observed between automated and manual computation of mean gradients pre- and post-TAVR [39.3 ± 12.1 vs. 37.5 ± 11.9 mmHg, intra-class correlation coefficient (ICC): 0.916; 1.92 ± 5.87 vs. 1.14 ± 5.89, ICC: 0.957, respectively], and PVR indices [diastolic delta (DD): 41.7 ± 12.4 vs. 40.6 ± 12.3 mmHg, ICC: 0.982, respectively]. Automated and manual assessment of DD showed comparable discriminatory value for relevant PVR [area under the curve (AUC): 0.81 vs. 0.80, respectively]. Conclusion: Rule-based, automated assessment of hemodynamic indices of PVR showed excellent construct validity and discriminatory value for CMR-determined relevant PVR, supporting its use for real-time evaluation and risk stratification in TAVR patients.

Indexed as

Automated algorithmsConstruct validityHemodynamicsParavalvular aortic regurgitationTranscatheter aortic valve replacement

Identifiers

PMID40984991
PMCPMC12450506

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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.