P‐wave durations from automated electrocardiogram analysis to predict atrial fibrillation and mortality in heart failure

Autor: Jiandong Zhou, Andrew Li, Martin Tan, Matthew Chung Yan Lam, Lok Tin Hung, Ronald Wing Hei Siu, Sharen Lee, Ishan Lakhani, Jeffrey Shi Kai Chan, Khalid Bin Waleed, Tong Liu, Kamalan Jeevaratnam, Qingpeng Zhang, Gary Tse
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: ESC Heart Failure, Vol 10, Iss 2, Pp 872-883 (2023)
Druh dokumentu: article
ISSN: 2055-5822
DOI: 10.1002/ehf2.14230
Popis: Abstract Background P‐wave indices have been used to predict incident atrial fibrillation (AF), stroke, and mortality. However, such indices derived from automated ECG measurements have not been explored for their predictive values in heart failure (HF). We investigated whether automated P‐wave indices can predict adverse outcomes in HF. Methods This study included consecutive Chinese patients admitted to a single tertiary centre, presenting with HF but without prior AF, and with at least one baseline ECG, between 1 January 2010 and 31 December 2016, with last follow‐up of 31 December 2019. Results A total of 2718 patients were included [median age: 77.4, interquartile range (IQR): (66.9–84.3) years; 47.9 males]. After a median follow‐up of 4.8 years (IQR: 1.9–9.0 years), 1150 patients developed AF (8.8/year), 339 developed stroke (2.6/year), 563 developed cardiovascular mortality (4.3/year), and 1972 had all‐cause mortality (15.1/year). Compared with 101–120 ms as a reference, maximum P‐wave durations predicted new‐onset AF at ≤90 ms [HR: 1.17(1.11, 1.50), P
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