Is Heart Rate Variability Better Than Routine Vital Signs for Prehospital Identification of Major Hemorrhage

Abstract

During initial assessment of trauma patients, metrics of heart rate variability (HRV) have been associated with high-risk clinical conditions. Yet, despite numerous studies, the potential of HRV to improve clinical outcomes remains unclear. Our objective was to evaluate whether HRV metrics provide additional diagnostic information beyond routine vital signs, for making a specific clinical assessment: identification of hemorrhaging patients who receive packed red blood cell (PRBC)transfusion. Adult prehospital trauma patients were analyzed retrospectively, excluding those who lacked a complete set of reliable vital signs and a clean electrocardiogram for computation of HRV metrics. We also excluded patients who did not survive to admission. The primary outcome was hemorrhagic injury plus different PRBC transfusion volumes. We performed multivariate regression analysis using HRV metrics and routine vital signs to test the hypothesis that HRV metrics could improve the diagnosis of hemorrhagic injury plus PRBC transfusion vs routine vital signs alone. Results: As univariate predictors, HRV metrics in a data set of 402 subjects had comparable areas under receiver operating characteristic curves compared with routine vital signs. In multivariate regression models containing routine vital signs, HRV parameters were significant (P less than .05) but yielded areas under receiver operating characteristic curves with minimal, nonsignificant improvements (+0.00 to +0.05). A novel diagnostic test should improve diagnostic thinking and allow for better decision making in a significant fraction of cases. Our findings do not support that HRV metrics add value over routine vital signs in terms of prehospital identification of hemorrhaging patients who receive PRBC transfusion.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2015
Accession Number
ADA618965

Entities

People

  • Andrew T. Reisner
  • Jaques Reifman
  • Jianbo Liu
  • Robert Carter Iii.
  • Shwetha Edla
  • VĂ­ctor A. Convertino

Organizations

  • United States Army Medical Research and Development Command

Tags

DTIC Thesaurus Topics

  • Blood
  • Blood Cells
  • Blood Transfusions
  • Brain Injuries
  • Cardiac Arrhythmias
  • Cardiovascular Physiological Phenomena
  • Cardiovascular System
  • Computations
  • Data Sets
  • Electrocardiography
  • Emergency Medicine
  • Health Services
  • Heart Rate
  • Hemorrhage
  • Information Science
  • Regression Analysis
  • Vital Signs

Fields of Study

  • Medicine

Readers

  • Computational Modeling and Simulation
  • Regression Analysis.
  • Trauma or Military Medicine