@article{ref1,
title="Real-time sample entropy predicts life-saving interventions after the Boston Marathon bombing",
journal="Journal of critical care",
year="2013",
author="Peev, Miroslav P. and Naraghi, Leily and Chang, Yuchiao and Demoya, Marc and Fagenholz, Peter and Yeh, Daniel and Velmahos, George and King, David R.",
volume="28",
number="6",
pages="1109.e1-11094",
abstract="PURPOSE: Identifying patients in need of a life-saving intervention (LSI) during a mass casualty event is a priority. We hypothesized that real-time, instantaneous sample entropy (SampEn) could predict the need for LSI in the Boston Marathon bombing victims. MATERIALS AND METHODS: Severely injured Boston Marathon bombing victims (n = 10) had sample entropy (SampEn) recorded upon presentation using a continuous 200-beat rolling average in real time. Treating clinicians were blinded to real-time results. The correlation between SampEn, injury severity, number, and type of LSI was examined. RESULTS: Victims were males (60%) with a mean age of 39.1 years. Injuries involved lower extremities (50.0%), head and neck (24.2%), or upper extremities (9.7%). Sample entropy negatively correlated with Injury Severity Score (r = -0.70; P = .023), number of injuries (r = -0.70; P = .026), and the number and need for LSI (r = -0.82; P = .004). Sample entropy was reduced under a variety of conditions. CONCLUSIONS: Sample entropy strongly correlates with injury severity and predicts LSI after blast injuries sustained in the Boston Marathon bombings. Sample entropy may be a useful triage tool after blast injury.<p /> <p>Language: en</p>",
language="en",
issn="0883-9441",
doi="10.1016/j.jcrc.2013.08.026",
url="http://dx.doi.org/10.1016/j.jcrc.2013.08.026"
}