Sudden cardiac death risk prediction from QT–RR adaptation time lag computed from exercise stress test ECG

Pérez, Cristina (Universidad de Zaragoza) ; Martínez, Juan Pablo (Universidad de Zaragoza) ; Ramírez, Julia (Universidad de Zaragoza) ; Kenttä, Tuomas ; Junttila, Juhani ; Kiviniemi, Antti ; Perkiömäki, Juha ; Huikuri, Heikki ; Pueyo, Esther (Universidad de Zaragoza) ; Laguna, Pablo (Universidad de Zaragoza)

Resumen: Objetive: This study aims to evaluate the QT adaptation time following gradual heart rate changes estimated from exercise stress test (EST) ECGs as a marker of sudden cardiac death (SCD) risk. The predicted risk value for any cardiovascular death (CVD) is also evaluated. Methods: Three ECG-derived markers related to QT-RR adaptation time were estimated during the exercise phase of EST, τe, during the recovery phase, τr, and as the difference between them, Δτ. The values were computed from patients with coronary artery disease (CAD) from ARTEMIS study (N=1472; median follow-up of 8.9 years). These markers are calculated as the delay between the observed RR interval series and a patient-specific memoryless RR series computed from the QT interval (RR-based strategy). Alternatively, the estimates were calculated as the delay between the observed QT intervals and a patient-specific instantaneous QT series computed from the RR intervals (QT-based strategy). The relation between the markers and CAD or SCD was evaluated. Results: The marker τr is more robustly estimateed with the RR-based strategy and is able to stratify survivors and victims of either SCD or CVD (p-value equal to 0.022 and 0.065, respectively). Multivariable regression models for predicting SCD and CVD include the QT-RR adaptation time estimated in the recovery phase of EST using the RR-based strategy. Conclusion: A prolonged QT-RR adaptation time during the recovery phase of the EST ECG, calculated with the RR-based strategy, can predict SCD and CVD, providing complementary information to other clinical markers

Idioma: Inglés

DOI: 10.1109/TBME.2025.3607144

Año: 2025

Publicado en: IEEE Transactions on Biomedical Engineering (2025), 1-12
ISSN: 0018-9294

Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2021-128972OA-I00
Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2023-148975OB-I00
Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-23R-BSICoS
Financiación: info:eu-repo/grantAgreement/ES/DGA/LMP 94-21
Financiación: info:eu-repo/grantAgreement/ES/MICINN/CNS2023-143599
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2022-140556OB-I00
Financiación: info:eu-repo/grantAgreement/ES/MICINN/RYC2021-031413-I
Financiación: info:eu-repo/grantAgreement/EUR/MICINN/TED2021-130459B-I00

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Area Medicina (Dpto. Medicina, Psiqu. y Derm.)
Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)