Monitoring Non-Invasive Cardiac Output and Stroke Volume during Experimental Human Hypovolaemia and Resuscitation

Abstract

Background. Multiple methods for non-invasive measurement of cardiac output (CO) and stroke volume (SV) exist. Their comparative capabilities are not clearly established. Methods. Healthy human subjects (n=21) underwent central hypovolaemia through progressive lower body negative pressure (LBNP) until the onset of presyncope, followed by termination of LBNP, to simulate complete resuscitation. Measurement methods were electrical bioimpedance (EBI) of the thorax and three measurements of CO and SV derived from the arterial blood pressure (ABP) waveform: the Modelflow (MF) method, the long-time interval (LTI) method, and pulse pressure (PP). We computed areas under receiver-operating characteristic curves (ROC AUCs) for the investigational metrics, to determine how well they discriminated between every combination of LBNP levels. Results. LTI and EBI yielded similar reductions in SV during progressive hypovolaemia and resuscitation (correlation coefficient 0.83) with ROC AUCs for distinguishing major LBNP (-60 mm Hg) vs resuscitation (0 mm Hg) of 0.98 and 0.99, respectively. MF yielded very similar reductions and ROC AUCs during progressive hypovolaemia, but after resuscitation, MF-CO did not return to baseline, yielding lower ROC AUCs (DROC AUC range, -0.18 to -0.26, P<0.01). PP declined during hypovolaemia but tended to be an inferior indicator of specific LBNP levels, and PP did not recover during resuscitation, yielding lower ROC curves (P<0.01). Conclusions. LTI, EBI, and MF were able to track progressive hypovolaemia. PP decreased during hypovolaemia but its magnitude of reduction underestimated reductions in SV. PP and MF were inferior for the identification of resuscitation.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2011
Accession Number
ADA618837

Entities

People

  • A. T. Reisner
  • C. A. Rickards
  • Duanyang Xu
  • K. L. Ryan
  • R. Mukkamala
  • VĂ­ctor A. Convertino

Organizations

  • United States Army Institute of Surgical Research

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Arteries
  • Blood
  • Blood Volume
  • Cardiovascular Physiological Phenomena
  • Cardiovascular System
  • Engineering
  • Health Services
  • Heart Rate
  • Hemorrhage
  • Hemorrhagic Shock
  • Laboratory Procedures
  • Monitoring
  • Pressure Measurement
  • Resuscitation
  • Time Intervals
  • United States

Fields of Study

  • Medicine

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Cardiovascular Physiology

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference