Sudden cardiac death and pump failure death prediction in chronic heart failure by combining ECG and clinical markers in an integrated risk model

Ramirez García, Julia (Universidad de Zaragoza) ; Orini, Michele ; Minchole, Ana ; Monasterio, Violeta ; Cygankiewicz, Iwona ; Bayes de Luna, Antonio ; Martinez, Juan Pablo (Universidad de Zaragoza) ; Laguna, Pablo (Universidad de Zaragoza) ; Pueyo, Esther (Universidad de Zaragoza)

Resumen: Background: Sudden cardiac death (SCD) and pump failure death (PFD) are common endpoints in chronic heart failure (CHF) patients, but prevention strategies are different. Currently used tools to specifically predict these endpoints are limited. We developed risk models to specifically assess SCD and PFD risk in CHF by combining ECG markers and clinical variables.
Methods: The relation of clinical and ECG markers with SCD and PFD risk was assessed in 597 patients enrolled in the MUSIC (MUerte Súbita en Insuficiencia Cardiaca) study. ECG indices included: turbulence slope (TS), reflecting autonomic dysfunction; T-wave alternans (TWA), reflecting ventricular repolarization instability; and T-peak-to-end restitution (¿aTpe) and T-wave morphology restitution (TMR), both reflecting changes in dispersion of repolarization due to heart rate changes. Standard clinical indices were also included.
Results: The indices with the greatest SCD prognostic impact were gender, New York Heart Association (NYHA) class, left ventricular ejection fraction, TWA, ¿aTpe and TMR. For PFD, the indices were diabetes, NYHA class, ¿aTpe and TS. Using a model with only clinical variables, the hazard ratios (HRs) for SCD and PFD for patients in the high-risk group (fifth quintile of risk score) with respect to patients in the low-risk group (first and second quintiles of risk score) were both greater than 4. HRs for SCD and PFD increased to 9 and 11 when using a model including only ECG markers, and to 14 and 13, when combining clinical and ECG markers.
Conclusion: The inclusion of ECG markers capturing complementary pro-arrhythmic and pump failure mechanisms into risk models based only on standard clinical variables substantially improves prediction of SCD and PFD in CHF patients.

Idioma: Inglés

DOI: 10.1371/journal.pone.0186152

Año: 2017

Publicado en: PLoS ONE 12, 10 (2017), e0186152 [15 pp.]
ISSN: 1932-6203

Factor impacto JCR: 2.766 (2017)

Categ. JCR: MULTIDISCIPLINARY SCIENCES rank: 14 / 63 = 0.222 (2017) - Q1 - T1

Factor impacto SCIMAGO: 1.164 - Agricultural and Biological Sciences (miscellaneous) (Q1) - Medicine (miscellaneous) (Q1) - Biochemistry, Genetics and Molecular Biology (miscellaneous) (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA/T96
Financiación: info:eu-repo/grantAgreement/EC/H2020/638284/EU/Is your heart aging well? A systems biology approach to characterize cardiac aging from the cell to the body surface/MODELAGE
Financiación: info:eu-repo/grantAgreement/ES/MINECO/DPI2016-75458-R
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TIN2013-41998-R

Tipo y forma: Article (Published version)

Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)