Visual and Quantitative Assessment of Poincaré Plots to Predict Mortality in Critically Ill Children Public Deposited

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  • March 22, 2019
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  • Hutchinson, Jordan
    • Affiliation: School of Medicine, UNC/NCSU Joint Department of Biomedical Engineering
Abstract
  • Heart rate variability (HRV) can be used as a noninvasive indicator of autonomic function.1-4 Diminished or ectopic heart rate variability is associated with increased mortality in a variety of diseases in adult and pediatric patients.5-9 Poincaré plots represent a non-linear method for visually displaying HRV. Poincaré plots are derived by graphing each normal RR interval (ms) against the subsequent RR interval. In healthy individuals, Poincaré plots take on a Comet-shaped pattern, which arises from the normal decrease in variability as heart rate slows.10 In adults with advanced heart failure the plots are either Torpedo shaped, reflecting minimal variability within RR intervals; Fan shaped, reflecting diminished variability within RR intervals; or Complex shaped, reflecting random variability within RR intervals.10 The present study aimed to determine whether resident physicians could predict whether critically ill children hospitalized in a Pediatric Intensive Care Unit (PICU) survived to discharge based on the interpretation of Poincaré plots.
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  • In Copyright
Advisor
  • Dayton, Paul
Degree
  • Master of Science
Graduation year
  • 2013
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