Clinical Predictors of Device-Detected Atrial Fibrillation During 2.5 Years After Cardiac Surgery: Prospective RACE V Cohort

Research output: Contribution to journalJournal articleResearchpeer-review

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Clinical Predictors of Device-Detected Atrial Fibrillation During 2.5 Years After Cardiac Surgery : Prospective RACE V Cohort. / Gilbers, Martijn D.; Kawczynski, Michal J.; Bidar, Elham; Maesen, Bart; Isaacs, Aaron; Winters, Joris; Linz, Dominik; Rienstra, Michiel; van Gelder, Isabelle; Maessen, Jos G.; Schotten, Ulrich.

In: JACC: Clinical Electrophysiology, 2024.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Gilbers, MD, Kawczynski, MJ, Bidar, E, Maesen, B, Isaacs, A, Winters, J, Linz, D, Rienstra, M, van Gelder, I, Maessen, JG & Schotten, U 2024, 'Clinical Predictors of Device-Detected Atrial Fibrillation During 2.5 Years After Cardiac Surgery: Prospective RACE V Cohort', JACC: Clinical Electrophysiology. https://doi.org/10.1016/j.jacep.2024.01.013

APA

Gilbers, M. D., Kawczynski, M. J., Bidar, E., Maesen, B., Isaacs, A., Winters, J., Linz, D., Rienstra, M., van Gelder, I., Maessen, J. G., & Schotten, U. (2024). Clinical Predictors of Device-Detected Atrial Fibrillation During 2.5 Years After Cardiac Surgery: Prospective RACE V Cohort. JACC: Clinical Electrophysiology. https://doi.org/10.1016/j.jacep.2024.01.013

Vancouver

Gilbers MD, Kawczynski MJ, Bidar E, Maesen B, Isaacs A, Winters J et al. Clinical Predictors of Device-Detected Atrial Fibrillation During 2.5 Years After Cardiac Surgery: Prospective RACE V Cohort. JACC: Clinical Electrophysiology. 2024. https://doi.org/10.1016/j.jacep.2024.01.013

Author

Gilbers, Martijn D. ; Kawczynski, Michal J. ; Bidar, Elham ; Maesen, Bart ; Isaacs, Aaron ; Winters, Joris ; Linz, Dominik ; Rienstra, Michiel ; van Gelder, Isabelle ; Maessen, Jos G. ; Schotten, Ulrich. / Clinical Predictors of Device-Detected Atrial Fibrillation During 2.5 Years After Cardiac Surgery : Prospective RACE V Cohort. In: JACC: Clinical Electrophysiology. 2024.

Bibtex

@article{e1e292fa7f784f8faf7d02fe7b6ebddd,
title = "Clinical Predictors of Device-Detected Atrial Fibrillation During 2.5 Years After Cardiac Surgery: Prospective RACE V Cohort",
abstract = "Background: Postoperative atrial fibrillation (POAF) is a frequent complication after cardiac surgery that is associated with late atrial fibrillation (AF) recurrences (late-POAF) and increased morbidity and long-term mortality. Objectives: This study sought to determine device-detected POAF incidence and to identify clinical variables associated with POAF, both in patients with and without preoperative AF history. Methods: A total of 133 consecutive patients undergoing cardiac surgery were prospectively enrolled and continuously monitored with an implantable loop recorder for 2.5 years after surgery. Preoperative transthoracic echocardiography, 12-lead electrocardiogram, blood biomarkers, and clinical data were analyzed to develop prediction models for early- and late-POAF. Results: In patients without preoperative AF history, early-POAF within the first 90 postoperative days occurred in 41 (47.1%) of 87 patients. Late-POAF after the first 90 postoperative days occurred in 22 (25%) of 87 patients, and 20 of these patients also had early-POAF during the first 90 days (20 of 22 [91%]). Increased right atrial minimum volume indexed for body surface area (RAVImin) and early-POAF were independently associated with late-POAF. A prediction model for late-POAF, which included RAVImin >11 mL/m2, age >65 years, and early-POAF, achieved an area under the curve of 0.82 (95% CI: 0.72-0.92). For patients with preoperative AF-history, late-POAF recurrences were frequent (22 of 33 [67%]). Increased RAVImin was independently associated with a higher incidence of late-POAF. Conclusions: In patients with and without AF history, late-POAF recurrences are frequent, including in patients undergoing surgical AF ablation. In patients with no history of AF, late-POAF might be predicted with excellent accuracy by using a combination of preoperative variables. In patients with a history of AF, signs of advanced AF substrate (eg, increased right atrial volumes) were associated with long-term AF recurrences. [Reappraisal of Atrial Fibrillation: Interaction Between Hypercoagulability, Electrical Remodeling, and Vascular Destabilisation in the Progression of AF; NCT03124576]",
keywords = "cardiac surgery, postoperative atrial fibrillation, predictive models",
author = "Gilbers, {Martijn D.} and Kawczynski, {Michal J.} and Elham Bidar and Bart Maesen and Aaron Isaacs and Joris Winters and Dominik Linz and Michiel Rienstra and {van Gelder}, Isabelle and Maessen, {Jos G.} and Ulrich Schotten",
note = "Publisher Copyright: {\textcopyright} 2024 The Authors",
year = "2024",
doi = "10.1016/j.jacep.2024.01.013",
language = "English",
journal = "JACC: Clinical Electrophysiology",
issn = "2405-5018",
publisher = "Elsevier USA",

}

RIS

TY - JOUR

T1 - Clinical Predictors of Device-Detected Atrial Fibrillation During 2.5 Years After Cardiac Surgery

T2 - Prospective RACE V Cohort

AU - Gilbers, Martijn D.

AU - Kawczynski, Michal J.

AU - Bidar, Elham

AU - Maesen, Bart

AU - Isaacs, Aaron

AU - Winters, Joris

AU - Linz, Dominik

AU - Rienstra, Michiel

AU - van Gelder, Isabelle

AU - Maessen, Jos G.

AU - Schotten, Ulrich

N1 - Publisher Copyright: © 2024 The Authors

PY - 2024

Y1 - 2024

N2 - Background: Postoperative atrial fibrillation (POAF) is a frequent complication after cardiac surgery that is associated with late atrial fibrillation (AF) recurrences (late-POAF) and increased morbidity and long-term mortality. Objectives: This study sought to determine device-detected POAF incidence and to identify clinical variables associated with POAF, both in patients with and without preoperative AF history. Methods: A total of 133 consecutive patients undergoing cardiac surgery were prospectively enrolled and continuously monitored with an implantable loop recorder for 2.5 years after surgery. Preoperative transthoracic echocardiography, 12-lead electrocardiogram, blood biomarkers, and clinical data were analyzed to develop prediction models for early- and late-POAF. Results: In patients without preoperative AF history, early-POAF within the first 90 postoperative days occurred in 41 (47.1%) of 87 patients. Late-POAF after the first 90 postoperative days occurred in 22 (25%) of 87 patients, and 20 of these patients also had early-POAF during the first 90 days (20 of 22 [91%]). Increased right atrial minimum volume indexed for body surface area (RAVImin) and early-POAF were independently associated with late-POAF. A prediction model for late-POAF, which included RAVImin >11 mL/m2, age >65 years, and early-POAF, achieved an area under the curve of 0.82 (95% CI: 0.72-0.92). For patients with preoperative AF-history, late-POAF recurrences were frequent (22 of 33 [67%]). Increased RAVImin was independently associated with a higher incidence of late-POAF. Conclusions: In patients with and without AF history, late-POAF recurrences are frequent, including in patients undergoing surgical AF ablation. In patients with no history of AF, late-POAF might be predicted with excellent accuracy by using a combination of preoperative variables. In patients with a history of AF, signs of advanced AF substrate (eg, increased right atrial volumes) were associated with long-term AF recurrences. [Reappraisal of Atrial Fibrillation: Interaction Between Hypercoagulability, Electrical Remodeling, and Vascular Destabilisation in the Progression of AF; NCT03124576]

AB - Background: Postoperative atrial fibrillation (POAF) is a frequent complication after cardiac surgery that is associated with late atrial fibrillation (AF) recurrences (late-POAF) and increased morbidity and long-term mortality. Objectives: This study sought to determine device-detected POAF incidence and to identify clinical variables associated with POAF, both in patients with and without preoperative AF history. Methods: A total of 133 consecutive patients undergoing cardiac surgery were prospectively enrolled and continuously monitored with an implantable loop recorder for 2.5 years after surgery. Preoperative transthoracic echocardiography, 12-lead electrocardiogram, blood biomarkers, and clinical data were analyzed to develop prediction models for early- and late-POAF. Results: In patients without preoperative AF history, early-POAF within the first 90 postoperative days occurred in 41 (47.1%) of 87 patients. Late-POAF after the first 90 postoperative days occurred in 22 (25%) of 87 patients, and 20 of these patients also had early-POAF during the first 90 days (20 of 22 [91%]). Increased right atrial minimum volume indexed for body surface area (RAVImin) and early-POAF were independently associated with late-POAF. A prediction model for late-POAF, which included RAVImin >11 mL/m2, age >65 years, and early-POAF, achieved an area under the curve of 0.82 (95% CI: 0.72-0.92). For patients with preoperative AF-history, late-POAF recurrences were frequent (22 of 33 [67%]). Increased RAVImin was independently associated with a higher incidence of late-POAF. Conclusions: In patients with and without AF history, late-POAF recurrences are frequent, including in patients undergoing surgical AF ablation. In patients with no history of AF, late-POAF might be predicted with excellent accuracy by using a combination of preoperative variables. In patients with a history of AF, signs of advanced AF substrate (eg, increased right atrial volumes) were associated with long-term AF recurrences. [Reappraisal of Atrial Fibrillation: Interaction Between Hypercoagulability, Electrical Remodeling, and Vascular Destabilisation in the Progression of AF; NCT03124576]

KW - cardiac surgery

KW - postoperative atrial fibrillation

KW - predictive models

UR - http://www.scopus.com/inward/record.url?scp=85189030648&partnerID=8YFLogxK

U2 - 10.1016/j.jacep.2024.01.013

DO - 10.1016/j.jacep.2024.01.013

M3 - Journal article

C2 - 38483418

AN - SCOPUS:85189030648

JO - JACC: Clinical Electrophysiology

JF - JACC: Clinical Electrophysiology

SN - 2405-5018

ER -

ID: 387739899