Mobile app-based symptom-rhythm correlation assessment in patients with persistent atrial fibrillation

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Mobile app-based symptom-rhythm correlation assessment in patients with persistent atrial fibrillation. / Hermans, Astrid N L; Gawalko, Monika; Slegers, Daniek P J; Andelfinger, Nora; Pluymaekers, Nikki A H A; Verhaert, Dominique V M; van der Velden, Rachel M J; Betz, Konstanze; Evens, Stijn; Luermans, Justin G L M; den Uijl, Dennis W; Baumert, Mathias; Nguyen, Hien L; Isaksen, Jonas L; Kanters, Jørgen K; Rienstra, Michiel; Vernooy, Kevin; Van Gelder, Isabelle C; Hendriks, Jeroen M; Linz, Dominik.

In: International Journal of Cardiology, Vol. 367, 2022, p. 29-37.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Hermans, ANL, Gawalko, M, Slegers, DPJ, Andelfinger, N, Pluymaekers, NAHA, Verhaert, DVM, van der Velden, RMJ, Betz, K, Evens, S, Luermans, JGLM, den Uijl, DW, Baumert, M, Nguyen, HL, Isaksen, JL, Kanters, JK, Rienstra, M, Vernooy, K, Van Gelder, IC, Hendriks, JM & Linz, D 2022, 'Mobile app-based symptom-rhythm correlation assessment in patients with persistent atrial fibrillation', International Journal of Cardiology, vol. 367, pp. 29-37. https://doi.org/10.1016/j.ijcard.2022.08.021

APA

Hermans, A. N. L., Gawalko, M., Slegers, D. P. J., Andelfinger, N., Pluymaekers, N. A. H. A., Verhaert, D. V. M., van der Velden, R. M. J., Betz, K., Evens, S., Luermans, J. G. L. M., den Uijl, D. W., Baumert, M., Nguyen, H. L., Isaksen, J. L., Kanters, J. K., Rienstra, M., Vernooy, K., Van Gelder, I. C., Hendriks, J. M., & Linz, D. (2022). Mobile app-based symptom-rhythm correlation assessment in patients with persistent atrial fibrillation. International Journal of Cardiology, 367, 29-37. https://doi.org/10.1016/j.ijcard.2022.08.021

Vancouver

Hermans ANL, Gawalko M, Slegers DPJ, Andelfinger N, Pluymaekers NAHA, Verhaert DVM et al. Mobile app-based symptom-rhythm correlation assessment in patients with persistent atrial fibrillation. International Journal of Cardiology. 2022;367:29-37. https://doi.org/10.1016/j.ijcard.2022.08.021

Author

Hermans, Astrid N L ; Gawalko, Monika ; Slegers, Daniek P J ; Andelfinger, Nora ; Pluymaekers, Nikki A H A ; Verhaert, Dominique V M ; van der Velden, Rachel M J ; Betz, Konstanze ; Evens, Stijn ; Luermans, Justin G L M ; den Uijl, Dennis W ; Baumert, Mathias ; Nguyen, Hien L ; Isaksen, Jonas L ; Kanters, Jørgen K ; Rienstra, Michiel ; Vernooy, Kevin ; Van Gelder, Isabelle C ; Hendriks, Jeroen M ; Linz, Dominik. / Mobile app-based symptom-rhythm correlation assessment in patients with persistent atrial fibrillation. In: International Journal of Cardiology. 2022 ; Vol. 367. pp. 29-37.

Bibtex

@article{c589c555c8ab4f1a9e629fd508ef4ea9,
title = "Mobile app-based symptom-rhythm correlation assessment in patients with persistent atrial fibrillation",
abstract = "BACKGROUND: The assessment of symptom-rhythm correlation (SRC) in patients with persistent atrial fibrillation (AF) is challenging. Therefore, we performed a novel mobile app-based approach to assess SRC in persistent AF.METHODS: Consecutive persistent AF patients planned for electrical cardioversion (ECV) used a mobile app to record a 60-s photoplethysmogram (PPG) and report symptoms once daily and in case of symptoms for four weeks prior and three weeks after ECV. Within each patient, SRC was quantified by the SRC-index defined as the sum of symptomatic AF recordings and asymptomatic non-AF recordings divided by the sum of all recordings.RESULTS: Of 88 patients (33% women, age 68 ± 9 years) included, 78% reported any symptoms during recordings. The overall SRC-index was 0.61 (0.44-0.79). The study population was divided into SRC-index tertiles: low (<0.47), medium (0.47-0.73) and high (≥0.73). Patients within the low (vs high) SRC-index tertile had more often heart failure and diabetes mellitus (both 24.1% vs 6.9%). Extrasystoles occurred in 19% of all symptomatic non-AF PPG recordings. Within each patient, PPG recordings with the highest (vs lowest) tertile of pulse rates conferred an increased risk for symptomatic AF recordings (odds ratio [OR] 1.26, 95% coincidence interval [CI] 1.04-1.52) and symptomatic non-AF recordings (OR 2.93, 95% CI 2.16-3.97). Pulse variability was not associated with reported symptoms.CONCLUSIONS: In patients with persistent AF, SRC is relatively low. Pulse rate is the main determinant of reported symptoms. Further studies are required to verify whether integrating mobile app-based SRC assessment in current workflows can improve AF management.",
author = "Hermans, {Astrid N L} and Monika Gawalko and Slegers, {Daniek P J} and Nora Andelfinger and Pluymaekers, {Nikki A H A} and Verhaert, {Dominique V M} and {van der Velden}, {Rachel M J} and Konstanze Betz and Stijn Evens and Luermans, {Justin G L M} and {den Uijl}, {Dennis W} and Mathias Baumert and Nguyen, {Hien L} and Isaksen, {Jonas L} and Kanters, {J{\o}rgen K} and Michiel Rienstra and Kevin Vernooy and {Van Gelder}, {Isabelle C} and Hendriks, {Jeroen M} and Dominik Linz",
note = "Copyright {\textcopyright} 2022. Published by Elsevier B.V.",
year = "2022",
doi = "10.1016/j.ijcard.2022.08.021",
language = "English",
volume = "367",
pages = "29--37",
journal = "International Journal of Cardiology",
issn = "0167-5273",
publisher = "Elsevier Ireland Ltd",

}

RIS

TY - JOUR

T1 - Mobile app-based symptom-rhythm correlation assessment in patients with persistent atrial fibrillation

AU - Hermans, Astrid N L

AU - Gawalko, Monika

AU - Slegers, Daniek P J

AU - Andelfinger, Nora

AU - Pluymaekers, Nikki A H A

AU - Verhaert, Dominique V M

AU - van der Velden, Rachel M J

AU - Betz, Konstanze

AU - Evens, Stijn

AU - Luermans, Justin G L M

AU - den Uijl, Dennis W

AU - Baumert, Mathias

AU - Nguyen, Hien L

AU - Isaksen, Jonas L

AU - Kanters, Jørgen K

AU - Rienstra, Michiel

AU - Vernooy, Kevin

AU - Van Gelder, Isabelle C

AU - Hendriks, Jeroen M

AU - Linz, Dominik

N1 - Copyright © 2022. Published by Elsevier B.V.

PY - 2022

Y1 - 2022

N2 - BACKGROUND: The assessment of symptom-rhythm correlation (SRC) in patients with persistent atrial fibrillation (AF) is challenging. Therefore, we performed a novel mobile app-based approach to assess SRC in persistent AF.METHODS: Consecutive persistent AF patients planned for electrical cardioversion (ECV) used a mobile app to record a 60-s photoplethysmogram (PPG) and report symptoms once daily and in case of symptoms for four weeks prior and three weeks after ECV. Within each patient, SRC was quantified by the SRC-index defined as the sum of symptomatic AF recordings and asymptomatic non-AF recordings divided by the sum of all recordings.RESULTS: Of 88 patients (33% women, age 68 ± 9 years) included, 78% reported any symptoms during recordings. The overall SRC-index was 0.61 (0.44-0.79). The study population was divided into SRC-index tertiles: low (<0.47), medium (0.47-0.73) and high (≥0.73). Patients within the low (vs high) SRC-index tertile had more often heart failure and diabetes mellitus (both 24.1% vs 6.9%). Extrasystoles occurred in 19% of all symptomatic non-AF PPG recordings. Within each patient, PPG recordings with the highest (vs lowest) tertile of pulse rates conferred an increased risk for symptomatic AF recordings (odds ratio [OR] 1.26, 95% coincidence interval [CI] 1.04-1.52) and symptomatic non-AF recordings (OR 2.93, 95% CI 2.16-3.97). Pulse variability was not associated with reported symptoms.CONCLUSIONS: In patients with persistent AF, SRC is relatively low. Pulse rate is the main determinant of reported symptoms. Further studies are required to verify whether integrating mobile app-based SRC assessment in current workflows can improve AF management.

AB - BACKGROUND: The assessment of symptom-rhythm correlation (SRC) in patients with persistent atrial fibrillation (AF) is challenging. Therefore, we performed a novel mobile app-based approach to assess SRC in persistent AF.METHODS: Consecutive persistent AF patients planned for electrical cardioversion (ECV) used a mobile app to record a 60-s photoplethysmogram (PPG) and report symptoms once daily and in case of symptoms for four weeks prior and three weeks after ECV. Within each patient, SRC was quantified by the SRC-index defined as the sum of symptomatic AF recordings and asymptomatic non-AF recordings divided by the sum of all recordings.RESULTS: Of 88 patients (33% women, age 68 ± 9 years) included, 78% reported any symptoms during recordings. The overall SRC-index was 0.61 (0.44-0.79). The study population was divided into SRC-index tertiles: low (<0.47), medium (0.47-0.73) and high (≥0.73). Patients within the low (vs high) SRC-index tertile had more often heart failure and diabetes mellitus (both 24.1% vs 6.9%). Extrasystoles occurred in 19% of all symptomatic non-AF PPG recordings. Within each patient, PPG recordings with the highest (vs lowest) tertile of pulse rates conferred an increased risk for symptomatic AF recordings (odds ratio [OR] 1.26, 95% coincidence interval [CI] 1.04-1.52) and symptomatic non-AF recordings (OR 2.93, 95% CI 2.16-3.97). Pulse variability was not associated with reported symptoms.CONCLUSIONS: In patients with persistent AF, SRC is relatively low. Pulse rate is the main determinant of reported symptoms. Further studies are required to verify whether integrating mobile app-based SRC assessment in current workflows can improve AF management.

U2 - 10.1016/j.ijcard.2022.08.021

DO - 10.1016/j.ijcard.2022.08.021

M3 - Journal article

C2 - 35963443

VL - 367

SP - 29

EP - 37

JO - International Journal of Cardiology

JF - International Journal of Cardiology

SN - 0167-5273

ER -

ID: 316682177