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Perioperative Goal-Directed Therapy Using Invasive Uncalibrated Pulse Contour Analysis
Bernd Saugel1, Daniel A Reuter2
1Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Frontiers in Medicine
|February 15, 2018
Summary
Perioperative goal-directed therapy (PGDT) optimizes hemodynamics to improve patient outcomes. Implementing PGDT using pulse contour analysis, which monitors blood flow, is crucial for better clinical results.
Area of Science:
- Anesthesiology and Critical Care Medicine
- Cardiovascular Physiology
- Hemodynamic Monitoring
Background:
- Perioperative goal-directed therapy (PGDT) aims to optimize oxygen delivery to end-organs by managing hemodynamic variables.
- Evidence supports PGDT's benefit in high-risk patients, yet implementation in routine care remains suboptimal.
- Arterial blood pressure waveform analysis offers a method for assessing key hemodynamic variables.
Purpose of the Study:
- To review the principles and application of PGDT using uncalibrated pulse contour analysis (PCA).
- To discuss different PCA-based PGDT algorithms and their physiological underpinnings.
- To highlight areas for future research in optimizing PGDT strategies.
Main Methods:
- Utilizes invasive uncalibrated pulse contour analysis (PCA) to assess hemodynamic variables.
- Evaluates stroke volume (SV), cardiac output (CO), pulse pressure variation (PPV), and stroke volume variation (SVV).
- Applies PCA-derived variables for functional hemodynamic monitoring to guide fluid and vasoactive agent titration.
Main Results:
- PCA enables assessment of SV/CO and PPV/SVV for PGDT.
- Treatment algorithms can be based on PPV/SVV, SV/CO, or combined variables.
- Physiologically, algorithms targeting both preload and blood flow variables may be most effective.
Conclusions:
- PCA is a valuable tool for implementing PGDT by providing key hemodynamic insights.
- Optimizing blood flow and cardiac preload through PCA-guided therapy can enhance patient outcomes.
- Further research is needed to refine PGDT algorithms and identify patient subgroups benefiting most from PCA-based monitoring.
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