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Assessing the Diagnostic Accuracy of Pulse Pressure Variations for the Prediction of Fluid Responsiveness

Maxime Cannesson, Yannick Le Manach, Christoph K. Hofer, Jean Pierre Goarin, Jean-Jacques Lehot, Benoît Vallet, Benoît Tavernier

Citations:

511

References:

31

Abstract

Respiratory arterial pulse pressure variations (PPV) are the best predictors of fluid responsiveness in mechanically ventilated patients during general anesthesia. However, previous studies were performed in a small number of patients and determined a single cutoff point to make clinical discrimination. The authors sought to test the predictive value of PPV in a large, multicenter study and to exp...

Keywords

Medicine

Receiver operating characteristic

Cutoff

Mechanical ventilation

Pulse pressure

Nuclear medicine

Area under the curve

Central venous pressure

Cardiology

Internal medicine

Anesthesia

Surgery

Blood pressure

Heart rate

Physics

Quantum mechanics

Sustainable Development Goals (SDG)

Peace, justice, and strong institutions

Reduced inequalities

2011

Article

Open Access

Institution

Associate Professor, Department of Anesthesiology & Perioperative Care, School of Medicine, University of California, Irvine, Irvine, California.,

Associate Professor, Department of Anesthesiology and Critical Care Medicine, Centre Hospitalier Universitaire Pitié-Salpêtrière, Paris, France, and Centre for Statistics in Medicine, Wolfson College, University of Oxford, Oxford, United Kingdom.,

Sorbonne Université,

Associate Professor, Institute of Anesthesiology and Intensive Care Medicine, Triemli City Hospital, Zurich, Switzerland.,

Professor, Department of Anesthesiology and Critical Care, Hôpital Louis Pradel, Lyon, France.,

Professor, Department of Anesthesiology and Critical Care Medicine, Centre Hospitalier Universitaire de Lille, Lille, France.

Publisher

Lippincott Williams & Wilkins

2-Y Citation Average

2.644

DOI

https://doi.org/10.1097/aln.0b013e318225b80a

Language

Country

United Kingdom,

Assessing the Diagnostic Accuracy of Pulse Pressure Variations for the Prediction of Fluid Responsiveness

Assessing the Diagnostic Accuracy of Pulse Pressure Variations for the Prediction of Fluid Responsiveness

Maxime Cannesson, Yannick Le Manach, Christoph K. Hofer, Jean Pierre Goarin, Jean-Jacques Lehot, Benoît Vallet, Benoît Tavernier

Citations:

511

References:

31

Abstract

Respiratory arterial pulse pressure variations (PPV) are the best predictors of fluid responsiveness in mechanically ventilated patients during general anesthesia. However, previous studies were performed in a small number of patients and determined a single cutoff point to make clinical discrimination. The authors sought to test the predictive value of PPV in a large, multicenter study and to exp...

Keywords

Medicine

Receiver operating characteristic

Cutoff

Mechanical ventilation

Pulse pressure

Nuclear medicine

Area under the curve

Central venous pressure

Cardiology

Internal medicine

Anesthesia

Surgery

Blood pressure

Heart rate

Physics

Quantum mechanics

Sustainable Development Goals (SDG)

Peace, justice, and strong institutions

Reduced inequalities

2011

Article

Open Access

Institution

Associate Professor, Department of Anesthesiology & Perioperative Care, School of Medicine, University of California, Irvine, Irvine, California.,

Associate Professor, Department of Anesthesiology and Critical Care Medicine, Centre Hospitalier Universitaire Pitié-Salpêtrière, Paris, France, and Centre for Statistics in Medicine, Wolfson College, University of Oxford, Oxford, United Kingdom.,

Sorbonne Université,

Associate Professor, Institute of Anesthesiology and Intensive Care Medicine, Triemli City Hospital, Zurich, Switzerland.,

Professor, Department of Anesthesiology and Critical Care, Hôpital Louis Pradel, Lyon, France.,

Professor, Department of Anesthesiology and Critical Care Medicine, Centre Hospitalier Universitaire de Lille, Lille, France.

Publisher

Lippincott Williams & Wilkins

2-Y Citation Average

2.644

DOI

https://doi.org/10.1097/aln.0b013e318225b80a

Language

Country

United Kingdom,