Data on prognostication models comparison for neurological recovery after cardiac arrest using proton chemical shift imaging (1H-CSI)
Hervé Quintard,
Lionel Velly,
Salah Boussen,
Xavier Chiosi,
Marie-Eve Amoretti,
Elodie Cervantes,
Carole Ichai
Affiliations
Hervé Quintard
Université Côte d׳Azur, CHU de Nice, Department of Anaesthesiology and Critical Care Medicine, Hôpital Pasteur 2, Nice, France; CNRS, UMR 7275, Sophia Antipolis, France; Correspondence to: Service d’Anesthésie Réanimation, CHU de Nice, Hôpital Pasteur 2, 30 voie romaine, 06000 Nice, France.
Lionel Velly
Aix Marseille University, Department of Anaesthesiology and Critical Care Medicine, University Hospital La Timone, Marseille, France; Aix Marseille University, Institut de Neuroscience de la Timone (INT), Marseille, France
Salah Boussen
Aix Marseille University, Department of Anaesthesiology and Critical Care Medicine, University Hospital La Timone, Marseille, France; Aix Marseille University, Laboratoire de Biomécanique Appliquée (IFSTTAR), Marseille, France
Xavier Chiosi
Université Côte d׳Azur, CHU de Nice, Department of Anaesthesiology and Critical Care Medicine, Hôpital Pasteur 2, Nice, France
Marie-Eve Amoretti
Université Côte d׳Azur, CHU de Nice, Radiology Department, Hôpital Pasteur 2, Nice, France
Elodie Cervantes
Université Côte d׳Azur, CHU de Nice, Radiology Department, Hôpital Pasteur 2, Nice, France
Carole Ichai
Université Côte d׳Azur, CHU de Nice, Department of Anaesthesiology and Critical Care Medicine, Hôpital Pasteur 2, Nice, France
We report in this data article the statistical comparison of three models for neurological prognostication 6 months after cardiac arrest: M1 associated SAPS II and coma Glasgow score at MRI, M2 associated SAPS II, coma Glasgow score, and FLAIR-DWI “deep gray nuclei”score, M3 associated SAPS II, coma Glasgow score, FLAIR-DWI “deep gray nuclei”score, and Lenticular cores NAA/Cr ratio. These data are related to “Value of assessment of multivoxel proton chemical shift imaging to predict long term outcome in patients after out-of-hospital cardiac arrest: A preliminary prospective observational study” (Quintard et al., 2018) [1].
