Evidence for a Higher Risk of Hypovolemia-Induced Hemodynamic Instability in Females: Implications for Decision Support During Prehospital Triage

Abstract

Lower body negative pressure (LBNP) simulates hemorrhage, and tolerance to LBNP (time to presyncope [TTP]) is indicative of tolerance to blood loss. The purpose of this study was to predict TTP based on demographic characteristics (sex, age, height, and body mass index) and physiological variables (heart rate [HR], systolic arterial pressure, diastolic arterial pressure [DAP], pulse pressure, stroke volume, total peripheral resistance [TPR], and baroreflex sensitivity [BRS]) at baseline, and during 2 levels of LBNP ( 15, 30 mm Hg). Multiple linear regression analysis was used to create a model to predict TTP (range: 670 to 2516 seconds, n = 187) based on demographic characteristics and physiological variables changes (delta) from baseline to 30 mm Hg LBNP. The prediction model revealed that TTP seconds) = 1667.5 + (5.1 +Age) + (61.1 +Sex) (21.5 + delta HR) + (55.3 +delta DAP) (88.2 +delta TPR) (4.9 + delta BRS). Most significantly, our analysis demonstrated a lesser survival trajectory for females given the same rate and magnitude of hemorrhage compared to males. Young age and female sex are predictors of low tolerance to blood loss, and should be considered for early triage in the prehospital setting.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2015
Accession Number
ADA618877

Entities

People

  • Carmen Hinojosa-Laborde
  • James Keith Aden
  • Kathleen A. Goei
  • Victor A Convertino

Organizations

  • United States Army Institute of Surgical Research

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Casualties
  • Combat Casualty Care
  • Combat Injuries
  • Health Services
  • Heart Rate
  • Hemorrhage
  • Hemorrhagic Shock
  • Hypovolemia
  • Information Science
  • Linear Regression Analysis
  • Mathematical Models
  • Medical Personnel
  • Military Medicine
  • Models
  • Regression Analysis
  • Survival
  • Therapy

Fields of Study

  • Medicine

Readers

  • Cardiovascular Physiology
  • Computational Modeling and Simulation
  • Trauma or Military Medicine