Anesth Analg 2008; 106:1195-1200
© 2008 International Anesthesia Research Society
doi: 10.1213/01.ane.0000297291.01615.5c
TECHNOLOGY, COMPUTING, AND SIMULATION
The Ability of a Novel Algorithm for Automatic Estimation of the Respiratory Variations in Arterial Pulse Pressure to Monitor Fluid Responsiveness in the Operating Room
Maxime Cannesson, MD*,
Juliette Slieker, MD*,
Olivier Desebbe, MD*,
Christian Bauer, MD*,
Pascal Chiari, MD, PhD*,
Roland Hénaine, MD , and
Jean-Jacques Lehot, MD*
From the Hospices Civils de Lyon, Departments of *Anesthesiology and Intensive Care, Cardiac Surgery, Louis Pradel Hospital, Claude Bernard Lyon 1 university, Lyon, France.
Address correspondence and reprint requests to Maxime Cannesson, Service dAnesthésie Réanimation, Hôpital Cardiologique Louis Pradel, 200 Avenue du Doyen Lépine, 69500 Bron, France. Address e-mail to maxime_cannesson{at}hotmail.com.
BACKGROUND: Respiratory variations in arterial pulse pressure ( PPman) are accurate predictors of fluid responsiveness in mechanically ventilated patients. However, they cannot be continuously monitored. In our study, we assessed the clinical utility of a novel algorithm for automatic estimation of PP ( PPauto).
METHODS: We studied 25 patients referred for coronary artery bypass grafting. PPauto was continuously displayed using a method based on automatic detection algorithms, kernel smoothing, and rank-order filters. All patients were under general anesthesia, mechanical ventilation, and were also monitored with a pulmonary artery catheter. PPman and PPauto were recorded simultaneously at eight steps during surgery including before and after intravascular volume expansion (500 mL hetastarch). Responders to volume expansion were defined as patients whose cardiac index increased by more than 15% after volume expansion.
RESULTS: Agreement between PPman and PPauto over the 200 pairs of collected data was 0.7% ± 3.4% (mean bias ± sd). Seventeen patients were responders to volume expansion. A threshold PPman value of 12% allowed discrimination of responders to volume expansion with a sensitivity of 88% and a specificity of 100%. A threshold PPauto value of 10% allowed discrimination of responders to volume expansion with a sensitivity of 82% and a specificity of 88%.
CONCLUSION: PPauto is strongly correlated to PPman is an accurate predictor of fluid responsiveness, and allows continuous monitoring of PP. This novel algorithm has potential clinical applications.
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