Heart rate complexity: An early prognostic marker of patient outcome after cardiac arrest.

Details

Ressource 1Download: ClinNeurophysDeLucia2021.pdf (473.70 [Ko])
State: Public
Version: author
License: CC BY 4.0
Serval ID
serval:BIB_837E87666D85
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Heart rate complexity: An early prognostic marker of patient outcome after cardiac arrest.
Journal
Clinical neurophysiology
Author(s)
Riganello F., Zubler F., Haenggi M., De Lucia M.
ISSN
1872-8952 (Electronic)
ISSN-L
1388-2457
Publication state
Published
Issued date
02/2022
Peer-reviewed
Oui
Volume
134
Pages
27-33
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
Early prognostication in comatose patients after cardiac arrest (CA) is difficult but essential to inform relatives and optimize treatment. Here we investigate the predictive value of heart-rate variability captured by multiscale entropy (MSE) for long-term outcomes in comatose patients during the first 24 hours after CA.
In this retrospective analysis of prospective multi-centric cohort, we analyzed MSE of the heart rate in 79 comatose patients after CA while undergoing targeted temperature management and sedation during the first day of coma. From the MSE, two complexity indices were derived by summing values over short and long time scales (CI <sub>s</sub> and CI <sub>l</sub> ). We splitted the data in training and test datasets for analysing the predictive value for patient outcomes (defined as best cerebral performance category within 3 months) of CI <sub>s</sub> and CI <sub>l</sub> .
Across the whole dataset, CI <sub>l</sub> provided the best sensitivity, specificity, and accuracy (88%, 75%, and 82%, respectively). Positive and negative predictive power were 81% and 84%.
Characterizing the complexity of the ECG in patients after CA provides an accurate prediction of both favorable and unfavorable outcomes.
The analysis of heartrate variability by means of MSE provides accurate outcome prediction on the first day of coma.
Keywords
Adult, Aged, Autonomic Nervous System/physiopathology, Coma/physiopathology, Heart Arrest/physiopathology, Heart Arrest/therapy, Heart Rate/physiology, Humans, Male, Middle Aged, Prognosis, Registries, Retrospective Studies, Sensitivity and Specificity, Cardiac arrest, Central Autonomic Network, Critical Care Outcomes, Heart Rate Variability, Multiscale Entropy
Pubmed
Web of science
Open Access
Yes
Funding(s)
University of Lausanne
Create date
30/12/2021 15:39
Last modification date
27/05/2022 6:36
Usage data