000109473 001__ 109473
000109473 005__ 20230519145447.0
000109473 0247_ $$2doi$$a10.1038/s41598-021-99861-1
000109473 0248_ $$2sideral$$a125684
000109473 037__ $$aART-2021-125684
000109473 041__ $$aeng
000109473 100__ $$0(orcid)0000-0001-5935-9454$$aPalacios, Saúl$$uUniversidad de Zaragoza
000109473 245__ $$aPeriodic repolarization dynamics as predictor of risk for sudden cardiac death in chronic heart failure patients
000109473 260__ $$c2021
000109473 5060_ $$aAccess copy available to the general public$$fUnrestricted
000109473 5203_ $$aThe two most common modes of death among chronic heart failure (CHF) patients are sudden cardiac death (SCD) and pump failure death (PFD). Periodic repolarization dynamics (PRD) quantifies low-frequency oscillations in the T wave vector of the electrocardiogram (ECG) and has been postulated to reflect sympathetic modulation of ventricular repolarization. This study aims to evaluate the prognostic value of PRD to predict SCD and PFD in a population of CHF patients. 20-min high-resolution (1000 Hz) ECG recordings from 569 CHF patients were analyzed. Patients were divided into two groups, PRD+ and PRD-, corresponding to PRD values above and below the optimum cutoff point of PRD in the study population. Univariate Cox regression analysis showed that SCD risk in the PRD+ group was double the risk in the PRD- group [ hazard ratio (95% CI) 2.001 (1.127-3.554), p < 0.05]. The combination of PRD with other Holter-based ECG indices, such as turbulence slope (TS) and index of average alternans (IAA), improved SCD prediction by identifying groups of patients at high SCD risk. PFD could be predicted by PRD only when combined with TS [hazard ratio 2.758 (1.572-4.838), p < 0.001]. In conclusion, the combination of PRD with IAA and TS can be used to stratify the risk for SCD and PFD, respectively, in CHF patients.
000109473 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-104881RB-I00$$9info:eu-repo/grantAgreement/ES/MCIU/PID2019-104889RB-I00$$9info:eu-repo/grantAgreement/EUR/ERC-2014-StG-638284$$9info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R-BSICoS group
000109473 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000109473 590__ $$a4.997$$b2021
000109473 592__ $$a1.005$$b2021
000109473 591__ $$aMULTIDISCIPLINARY SCIENCES$$b19 / 74 = 0.257$$c2021$$dQ2$$eT1
000109473 593__ $$aMultidisciplinary$$c2021$$dQ1
000109473 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000109473 700__ $$aCygankiewicz, Iwona
000109473 700__ $$aBayés de Luna, Antoni
000109473 700__ $$0(orcid)0000-0002-1960-407X$$aPueyo, Esther$$uUniversidad de Zaragoza
000109473 700__ $$0(orcid)0000-0002-7503-3339$$aMartínez, Juan Pablo$$uUniversidad de Zaragoza
000109473 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000109473 773__ $$g11, 1 (2021), 20546 [14 pp.]$$pSci. rep. (Nat. Publ. Group)$$tScientific reports (Nature Publishing Group)$$x2045-2322
000109473 8564_ $$s2312242$$uhttps://zaguan.unizar.es/record/109473/files/texto_completo.pdf$$yVersión publicada
000109473 8564_ $$s2580686$$uhttps://zaguan.unizar.es/record/109473/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000109473 909CO $$ooai:zaguan.unizar.es:109473$$particulos$$pdriver
000109473 951__ $$a2023-05-18-14:38:51
000109473 980__ $$aARTICLE