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Pulse contour analysis to assess hemodynamic response to passive leg raising

  • Bart Geerts
  • , Rob de Wilde
  • , Leon Aarts
  • , Jos Jansen
  • pre-AMC

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Objective The authors evaluated the ability of 2 pulse contour cardiac output (CO) techniques to track CO changes during passive leg raising (PLR) to assess fluid loading responsiveness. Design A prospective study. Setting An intensive care unit in a university hospital. Participants Twenty mechanically ventilated postoperative cardiac surgery patients. Interventions Thirty-degree PLR. Measurements and Main Results The authors estimated CO by 3 techniques: thermodilution (COtd), arterial pulse power (Coli; LiDCO, London, UK), and pulse contour method (Com; FMS, Amsterdam, The Netherlands) based on uncalibrated Modelflow. The authors measured heart rate (HR), central venous pressure, arterial pulse pressure (PP), systolic pressure (SP), and mean arterial pressure (MAP). Stroke volume (SV), SP, PP, and SV variation (PPV and SVV, respectively) were calculated over 5 breaths. SVV was measured by both LiDCO (SVVli) and Modelflow (SVVm) devices. PLR-induced changes in COtd correlated with COli (p < 0.001) and COm (p < 0.001). Preload dependence was predicted with an area under the ROC curve of 0.968 for ΔCOm, 0.841 for ΔCOli, 0.825 for SVVm, 0.873 for SVVli, 0.808 for PPV, 0.778 for ΔSP, 0.714 for ΔPP, and 0.873 for ΔMAP. Conclusions Changes in COm, COli, SVV, and PPV track COtd changes during PLR with a high degree of accuracy in sedated, ventilated, postoperative cardiac surgery patients. Changes in pulse contour CO after PLR can be used to predict fluid loading responsiveness. © 2011 Elsevier Inc.
Original languageEnglish
Pages (from-to)48-52
JournalJournal of cardiothoracic and vascular anesthesia
Volume25
Issue number1
DOIs
Publication statusPublished - 2011
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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