Evidence map›Paper›PMID 42038676›Full record

ArticleHeart rhythm O22026

Acute hemodynamic effects of a novel algorithm for cardiac resynchronization therapy optimization: Results from the BIO|Adapt study.

Francisco Javier Garcia-Fernandez, Kenji Ando, Ritsushi Kato, Juan Gabriel Martínez, Antonio Berruezo, Javier Jimenez, Lars Anneken, Naoya Hironobe, Masahide Harada, Atsuhiko Yagishita and 12 more

Abstract read
In one paragraph

Article in Heart rhythm O2, 2026. 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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0citing papers in PubMed
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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.

No citing paper in PubMed yet.

4 · The record

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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

22 authors.

Francisco Javier Garcia-FernandezUnidad de Arritmias, Servicio de Cardiología, Hospital Universitario de Burgos, Burgos, Spain.
Kenji AndoDepartment of Cardiology, Kokura Memorial Hospital, Kitakyushu, Japan.
Ritsushi KatoDepartment of Cardiology, Saitama Medical University, Saitama International Medical Center, Saitama, Japan.
Juan Gabriel MartínezDepartment of Cardiology, Dr. Balmis General University Hospital, Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante, Spain.
Antonio BerruezoTeknon Heart Institute, Teknon Medical Center, Barcelona, Spain.
Javier JimenezArrhythmia Unit, Cardiology Department, General University Hospital Consortium of Valencia, Valencia, Spain.
Lars AnnekenDepartment of Cardiology, Friedrich-Alexander-Universität Erlangen-Nuremberg, Erlangen, Germany.
Naoya HironobeDepartment of Cardiovascular Medicine, Hiroshima Prefectural Hospital, Hiroshima, Japan.
Masahide HaradaDepartment of Cardiology, Fujita Health University, Aichi, Japan.
Atsuhiko YagishitaDepartment of Cardiology, Tokai University, Kanagawa, Japan.
Joaquin Osca-AsensiElectrophysiology Section, Cardiology Department, Hospital Universitari i Politècnic La Fe, Valencia, Spain.
Przemysław Mitkowski1st Department of Cardiology, Poznan University Hospital, Poznan University of Medical Sciences, Poznań, Poland.
Hidemori HayashiDepartment of Cardiovascular Biology and Medicine, Juntendo University School of Medicine, Tokyo, Japan.
Jun KishiharaDepartment of Cardiovascular Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Mónica Pardo-FresnoDepartment of Cardiology, University Hospital Alvaro Cunqueiro, Vigo, Spain.
Iftikhar EbrahimRaslouw Private Hospital, Pretoria, South Africa.
Jürgen MeyhöferMaria Heimsuchung-Caritas-Klinik Pankow, Berlin, Germany.
Rafael Salguero-BodesCentro de Investigaciones Biomédicas en RED en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
Pedro MarquesCardiology Department, Centro Hospitalar Lisboa Norte (CHLN), Hospital de Santa Maria, Lisbon, Portugal.
Alicia MorenoBiotronik SE & Co KG, Berlin, Germany.
Mariona PinartBiotronik SE & Co KG, Berlin, Germany.
Alan BulavaČeské Budějovice Hospital and Faculty of Health and Social Sciences, University of South Bohemia, České Budějovice, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A considerable proportion of patients with heart failure with reduced left ventricular ejection fraction (LVEF) and prolonged QRS duration fail to respond adequately to cardiac resynchronization therapy (CRT). Suboptimal atrioventricular (AV) delay programming is a key factor leading to diminished response. Objective: This study aimed to acutely correlate aortic velocity time integral, LVEF, and QRS duration with 3 programming strategies in the postimplantation setting: AV delay automatically set by a novel CRT AutoAdapt algorithm, AV delay optimized by echocardiography, and standard ("in-box") programming. Methods: Under normal intrinsic AV conduction (<250 ms after atrial pacing), the CRT AutoAdapt algorithm automatically switches to left ventricular-only pacing and adapts the AV delay to 50%, 70% (default), or 90% of intrinsic AV conduction. In our study, 163 CRT-defibrillator recipients (mean age 69.2 ± 9.2 years; 32% female; LVEF 27.7% ± 6.6%; 76% with left bundle branch block) underwent echocardiographic and electrocardiographic assessments at prehospital discharge. Results: With the default 70% AV adaptation, the CRT AutoAdapt automatically set a similar AV delay (117.1 ± 23.9 ms) compared with echocardiography-guided optimization (118.3 ± 30.2 ms; Conclusion: Acute hemodynamic effects of CRT AutoAdapt and echocardiography-guided AV-delay optimization were similar, with equivalent cardiac performance. This device-based approach offers the potential advantage of continuous adaptation to changing physiological conditions without requiring resource-intensive in-office optimization procedures.

Indexed as

Aortic velocity time integralAV optimizationCardiac resynchronization therapyHeart failureLV pacing

Identifiers

PMID42038676
PMCPMC13107034

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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.