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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 (författare)
Lund Univ, Sweden; Helsingborg Hosp, Sweden
Kenda, Martin (författare)
Charite Univ Med Berlin, Germany; Freie Univ, Germany; Humboldt Univ, Germany
Scheel, Michael (författare)
Charite Univ Med Berlin, Germany
visa fler...
Martola, Juha (författare)
Univ Helsinki, Finland
Wheeler, Matthew (författare)
Univ Hosp Wales, Wales
Owen, Stephanie (författare)
Univ Hosp Wales, Wales; Vale Univ Hlth Board, Wales
Johnsson, Mikael (författare)
Helsingborg Hosp, Sweden; Vale Univ Hlth Board, Wales
Annborn, Martin (författare)
Lund Univ, Sweden; Helsingborg Hosp, Sweden
Dankiewicz, Josef (författare)
Lund Univ, Sweden; Skane Univ Hosp, Sweden
Deye, Nicolas (författare)
Lariboisiere Univ Hosp, France
During, Joachim (författare)
Lund Univ, Sweden; Skane Univ Hosp, Sweden
Friberg, Hans (författare)
Lund Univ, Sweden; Skane Univ Hosp, Sweden
Halliday, Thomas (författare)
Region Östergötland, ANOPIVA US
Jakobsen, Janus Christian (författare)
Univ Southern Denmark, Denmark; Rigshosp, Denmark
Lascarrou, Jean-Baptiste (författare)
Nantes Univ, France
Levin, Helena (författare)
Lund Univ, Sweden; Skane Univ Hosp, Sweden
Lilja, Gisela (författare)
Lund Univ, Sweden; Skane Univ Hosp, Sweden
Lybeck, Anna (författare)
Lund Univ, Sweden; Skane Univ Hosp, Sweden
McGuigan, Peter (författare)
Royal Victoria Hosp, North Ireland; Queens Univ Belfast, North Ireland
Rylander, Christian (författare)
Uppsala Univ, Sweden
Sem, Victoria (författare)
Cent Hosp Karlstad, Sweden
Thomas, Matthew (författare)
Univ Hosp Bristol & Weston, England
Ullen, Susann (författare)
Skane Univ Hosp, Sweden
Unden, Johan (författare)
Lund Univ, Sweden; Hallands Hosp Halmstad, Sweden
Wise, Matt P. (författare)
Univ Hosp Wales, Wales
Cronberg, Tobias (författare)
Lund Univ, Sweden; Skane Univ Hosp, Sweden
Wasselius, Johan (författare)
Lund Univ, Sweden; Skane Univ Hosp, Sweden
Nielsen, Niklas (författare)
Lund Univ, Sweden; Helsingborg Hosp, Sweden
Leithner, Christoph (författare)
Charite Univ Med Berlin, Germany; Freie Univ, Germany; Humboldt Univ, Germany
Moseby-Knappe, Marion (författare)
Lund Univ, Sweden; Skane Univ Hosp, Sweden
visa färre...
 (creator_code:org_t)
2024
2024
Engelska.
Ingår i: Intensive Care Medicine. - : SPRINGER. - 0342-4642 .- 1432-1238.
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Anestesi och intensivvård (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Anesthesiology and Intensive Care (hsv//eng)

Nyckelord

Cardiac arrest; Computed tomography; Prognosis; Hypoxic-ischaemic encephalopathy; GWR

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