Sample entropy predicts lifesaving interventions in trauma patients with normal vital signs

摘要: Abstract Introduction Heart rate complexity, commonly described as a “new vital sign,” has shown promise in predicting injury severity, but its use clinical practice is not yet widely adopted. We previously demonstrated the ability of this noninvasive technology to predict lifesaving interventions (LSIs) trauma patients. This study was conducted prospectively evaluate utility real-time, automated, noninvasive, instantaneous sample entropy (SampEn) analysis need for an LSI alert population presenting with normal signs. Methods Prospective enrollment patients who met criteria team activation and presented signs at level I center. High-fidelity electrocardiogram recording used calculate SampEn SD normal-to-normal R-R interval (SDNN) continuously real time 2 hours portable, handheld device. Patients received were compared without any intervention (non-LSI). Multivariable performed control differences between groups. Treating clinicians blinded results. Results Of 129 enrolled, 38 (29%) 136 LSIs within 24 hospital arrival. Initial systolic blood pressure similar both Lifesaving had lower Glasgow Coma Scale. The mean on presentation 0.7 (0.4-1.2) group 1.5 (1.1-2.0) non-LSI (P Conclusions In signs, decreased independent predictor LSI. Real-time may be useful adjunct standard monitoring. Adoption monitoring patients, especially resource-constrained environments, should considered.