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Standardised and automated assessment of head computed tomography reliably predicts poor functional outcome after cardiac arrest: a prospective multicentre study.
Lang, Margareta; Kenda, Martin; Scheel, Michael; Martola, Juha; Wheeler, Matthew; Owen, Stephanie; Johnsson, Mikael; Annborn, Martin; Dankiewicz, Josef; Deye, Nicolas; Düring, Joachim; Friberg, Hans; Halliday, Thomas; Jakobsen, Janus Christian; Lascarrou, Jean-Baptiste; Levin, Helena; Lilja, Gisela; Lybeck, Anna; McGuigan, Peter; Rylander, Christian; Sem, Victoria; Thomas, Matthew; Ullén, Susann; Undén, Johan; Wise, Matt P; Cronberg, Tobias; Wassélius, Johan; Nielsen, Niklas; Leithner, Christoph; Moseby-Knappe, Marion.
Afiliación
  • Lang M; Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
  • Kenda M; Department of Radiology, Helsingborg Hospital, Helsingborg, Sweden.
  • Scheel M; Berlin Institute of Health at Charité-Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH Charité Junior Digital Clinician Scientist Program, Universitätsmedizin Berlin, Berlin, Germany.
  • Martola J; Department of Neurology and Experimental Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität and Humboldt-Universität Zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
  • Wheeler M; Department of Neuroradiology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Owen S; HUS Medical Imaging Center, Radiology, University of Helsinki, Helsinki University Hospital, Helsinki, Finland.
  • Johnsson M; University Hospital of Wales, Cardiff and Vale University Health Board, Cardiff, Wales, UK.
  • Annborn M; University Hospital of Wales, Cardiff and Vale University Health Board, Cardiff, Wales, UK.
  • Dankiewicz J; Department of Radiology, Helsingborg Hospital, Helsingborg, Sweden.
  • Deye N; Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
  • Düring J; Department of Anaesthesia and Intensive Care, Helsingborg Hospital, Helsingborg, Sweden.
  • Friberg H; Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
  • Halliday T; Department of Cardiology, Skåne University Hospital, Lund, Sweden.
  • Jakobsen JC; Department of Medical and Toxicological Intensive Care Unit, Inserm UMR-S 942, Assistance Publique des Hopitaux de Paris, Lariboisière University Hospital, Paris, France.
  • Lascarrou JB; Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
  • Levin H; Department of Anaesthesia and Intensive Care, Skåne University Hospital, Malmö, Sweden.
  • Lilja G; Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
  • Lybeck A; Department of Anaesthesia and Intensive Care, Skåne University Hospital, Malmö, Sweden.
  • McGuigan P; Department of Operation and Intensive Care, Linköping University Hospital, Linköping, Sweden.
  • Rylander C; Department of Regional Health Research, The Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.
  • Sem V; Copenhagen Trial Unit, Centre for Clinical Intervention Research, Capital Region of Denmark, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
  • Thomas M; Medecine Intensive Reanimation, Movement-Interactions-Performance,, Nantes Université, CHU Nantes, MIP, UR 4334, 44000, Nantes, France.
  • Ullén S; Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
  • Undén J; Department of Research and Education, Skåne University Hospital, Lund, Sweden.
  • Wise MP; Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
  • Cronberg T; Department of Neurology, Skåne University Hospital, Lund, Sweden.
  • Wassélius J; Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
  • Nielsen N; Department of Anaesthesia and Intensive Care, Skåne University Hospital, Lund, Sweden.
  • Leithner C; Regional Intensive Care Unit, Royal Victoria Hospital, Belfast, UK.
  • Moseby-Knappe M; Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK.
Intensive Care Med ; 50(7): 1096-1107, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38900283
ABSTRACT

PURPOSE:

Application of standardised and automated assessments of head computed tomography (CT) for neuroprognostication after out-of-hospital cardiac arrest.

METHODS:

Prospective, international, multicentre, observational study within the Targeted Hypothermia versus Targeted Normothermia after out-of-hospital cardiac arrest (TTM2) trial. Routine CTs from adult unconscious patients obtained > 48 h ≤ 7 days post-arrest were assessed qualitatively and quantitatively by seven international raters blinded to clinical information using a pre-published protocol. Grey-white-matter ratio (GWR) was calculated from four (GWR-4) and eight (GWR-8) regions of interest manually placed at the basal ganglia level. Additionally, GWR was obtained using an automated atlas-based approach. Prognostic accuracies for prediction of poor functional outcome (modified Rankin Scale 4-6) for the qualitative assessment and for the pre-defined GWR cutoff < 1.10 were calculated.

RESULTS:

140 unconscious patients were included; median age was 68 years (interquartile range [IQR] 59-76), 76% were male, and 75% had poor outcome. Standardised qualitative assessment and all GWR models predicted poor outcome with 100% specificity (95% confidence interval [CI] 90-100). Sensitivity in median was 37% for the standardised qualitative assessment, 39% for GWR-8, 30% for GWR-4 and 41% for automated GWR. GWR-8 was superior to GWR-4 regarding prognostic accuracies, intra- and interrater agreement. Overall prognostic accuracy for automated GWR (area under the curve [AUC] 0.84, 95% CI 0.77-0.91) did not significantly differ from manually obtained GWR.

CONCLUSION:

Standardised qualitative and quantitative assessments of CT are reliable and feasible methods to predict poor functional outcome after cardiac arrest. Automated GWR has the potential to make CT quantification for neuroprognostication accessible to all centres treating cardiac arrest patients.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Paro Cardíaco Extrahospitalario Idioma: En Revista: Intensive Care Med Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Paro Cardíaco Extrahospitalario Idioma: En Revista: Intensive Care Med Año: 2024 Tipo del documento: Article