Article (Scientific journals)
Prediction of good functional outcome decreases diagnostic uncertainty in unconscious survivors after out-of-hospital cardiac arrest.
Lagebrant, Alice; Sandroni, Claudio; Nolan, Jerry P et al.
2025In Resuscitation, p. 110686
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Keywords :
Cardiac Arrest; Functional Outcome; Good Outcome Prediction; Indeterminate Prognosis; Neurological Prognostication
Abstract :
[en] [en] PURPOSE: To explore modifications of the 2021 European Resuscitation Council/European Society of Intensive Care Medicine (ERC/ESICM) guideline algorithm for neuroprognostication after cardiac arrest to improve its prognostic accuracy. METHODS: Post-hoc analysis of four prospective multicentre studies (TTM, TTM2, KORHN and ProNeCA). We raised the Glasgow Coma Scale motor (GCS-M) inclusion threshold at 72 hours after cardiac arrest from the current GCS-M<4 to GCS-M<6 (all unconscious patients). Secondly, we included good outcome predictors (GCS-M 4-5, neuron-specific enolase <17 µg/L, benign electroencephalography patterns ≤72 hours post-arrest and normal magnetic resonance imaging at 72-168 hours post-arrest) in the algorithm. Functional outcome was assessed dichotomously at six months, including modified Rankin Scale 0-3, Cerebral Performance Category 1-2 or Glasgow Outcome Scale 4-5 (no symptoms to moderate disability) as good outcome. RESULTS: We analysed 3,388 patients, of whom 2,079 had GCS-M<4 at ≥72 hours. Of the 874 patients identified by the 2021 ERC/ESICM poor outcome criteria, 870 had poor functional outcome (specificity: 99.6% [95%CI 99.0-99.9]). Using the GCS-M<6 threshold, 366 more patients entered the algorithm (N=2,445). Seven more patients with poor outcomes were identified, with close to identical specificity. Good outcome predictors thereafter identified 673 patients with potential recovery, of whom 411 (61%) had a good functional outcome at six months. With the updated algorithm, the number of prognosticated patients with an indeterminate prognosis decreased from 1,205/2,079 (58%) to 891/2,445 (36%). CONCLUSION: Raising the GCS-M inclusion threshold and adding favourable predictors to the 2021 ERC/ESICM prognostication algorithm reduced prognostic uncertainty without increasing falsely pessimistic predictions.
Disciplines :
Anesthesia & intensive care
Author, co-author :
Lagebrant, Alice ;  Department of Clinical Sciences Lund, Lund University, Lund, Sweden, Department of Neurology, Skåne University Hospital, Malmö, Sweden. Electronic address: alice.lagebrant@med.lu.se
Sandroni, Claudio;  Department of Intensive Care, Emergency Medicine and Anaesthesiology, Fondazione Policlinico Universitario "Agostino Gemelli"-IRCCS, Largo Francesco Vito, 1, Rome, Italy, Institute of Anaesthesiology and Intensive Care Medicine, Università Cattolica del Sacro Cuore, Rome, Italy
Nolan, Jerry P;  Warwick Clinical Trials Unit, University of Warwick, UK, Department of Anaesthesia and Intensive Care Medicine, Royal United Hospital, Bath, UK
Bělohlávek, Jan;  Department of Internal Medicine II, Cardiovascular Medicine, General University, 1st Faculty of Medicine, Charles University Prague, Czech Republic, Institute for Heart Diseases, Wroclaw Medical University, Wrocław, Poland Hospital
Cariou, Alain;  Medical Intensive Care unit, Cochin University Hospital, AP-HP Centre Université Paris Cité, Paris, France
Carrai, Riccardo;  SODc Neurofisiopatologia, Neuroscience Department, Careggi University Hospital, Florence, Italy
Dankiewicz, Josef;  Department of Clinical Sciences Lund, Lund University, Lund, Sweden, Department of Cardiology, Skåne University Hospital, Lund, Sweden
Grejs, Anders Morten;  Department of Intensive Care Medicine, Aarhus University Hospital, Aarhus, Denmark, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
Grippo, Antonello;  SODc Neurofisiopatologia, Neuroscience Department, Careggi University Hospital, Florence, Italy
Hassager, Christian;  Department of Cardiology, Rigshospitalet, Copenhagen, Denmark, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
Horn, Janneke;  Department of Intensive Care, Amsterdam Neurosciences, Academic Medical Center, Amsterdam, The Netherlands
Haenggi, Matthias;  Institute of Intensive Care Medicine, University Hospital Zurich, Zurich, Switzerland
Jakobsen, Janus C;  Copenhagen Trial Unit, Centre for Clinical Intervention Research, Capital Region of Denmark, Department of Regional Health Research, The Faculty of Health Sciences, University of Southern Denmark, Denmark
Keeble, Thomas R;  Essex Cardiothoracic Centre, Nethermayne, Basildon, Essex, UK, ARU School of Medicine & MTRC, Chelmsford, Essex, UK
Kirkegaard, Hans;  Department of Clinical Medicine, Aarhus University, Aarhus, Denmark, Research Center for Emergency Medicine, Emergency Department, Aarhus University Hospital, Denmark
Kjaergaard, Jesper;  Department of Cardiology, Rigshospitalet, Copenhagen, Denmark, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
Kuiper, Michael A;  Department of Intensive Care, Frisius Medical Center Leeuwarden, The Netherlands
Lee, Byung Kook;  Department of Emergency Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea, Department of Emergency Medicine, Chonnam National University Hospital, Gwangju, Republic of Korea
Lee, Dong Hun;  Department of Emergency Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea, Department of Emergency Medicine, Chonnam National University Hospital, Gwangju, Republic of Korea
Levin, Helena;  Department of Clinical Sciences Lund, Lund University, Lund, Sweden, Department of Research, Development, Education and Innovation, Skåne University Hospital, Lund, Sweden
Lilja, Gisela;  Department of Clinical Sciences Lund, Lund University, Lund, Sweden, Department of Neurology, Skåne University Hospital, Lund, Sweden
Lundin, Andreas;  Department of Anaesthesiology and Intensive Care Medicine, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sweden
Nielsen, Niklas;  Department of Clinical Sciences Lund, Lund University, Lund, Sweden, Department of Anesthesia and Intensive Care, Intensive Care Unit, Helsingborg Hospital, Helsingborg, Sweden
Oh, Sang Hoon;  Department of Emergency Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
Park, Kyu Nam;  Department of Emergency Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
Pellis, Tommaso;  Department of Anesthesia and Intensive Care, Pordenone Hospital, Azienda Sanitaria Friuli Occidentale, Italy
Robba, Chiara;  IRCCS Policlinico San Martino Genova Italy, Dipartimento di Scienze Chirurgiche Diagnostiche e Integrate, University of Genoa, Italy
Rylander, Christian;  Department of Surgical Sciences, Anaesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden
Ryu, Seok Jin;  Department of Emergency Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea, Department of Emergency Medicine, Chonnam National University Hospital, Gwangju, Republic of Korea
Saxena, Manoxj;  Division of Critical Care and Trauma, George Institute for Global Health, Sydney, NSW, Australia, Intensive Care Unit, St George Hospital, Sydney, Australia
Scarpino, Maenia;  SODc Neurofisiopatologia, Neuroscience Department, Careggi University Hospital, Florence, Italy
Schrag, Claudia;  Clinic for Intensive Care Medicine, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
STAMMET, Pascal  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM) > Medical Education
Storm, Christian;  Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin
Taccone, Fabio Silvio;  Université Libre de Bruxelles, Brussels, Belgium, Department of Intensive Care, Hôpital Universitaire de Bruxelles, Brussels, Belgium
Thomas, Matthew;  Dept of Intensive Care, University Hospitals Bristol and Weston, UK
Westhall, Erik;  Department of Clinical Sciences Lund, Lund University, Lund, Sweden, Department of Clinical Neurophysiology, Skåne University Hospital, Lund, Sweden
Wise, Matt P;  Adult Critical Care, University Hospital of Wales, Cardiff, UK
Youn, Chun Song;  Department of Emergency Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
Young, Paul;  Medical Research Institute of New Zealand, Wellington, New Zealand, Intensive Care Unit, Wellington Regional Hospital, Wellington, New Zealand, Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia, Department of Critical Care, University of Melbourne, Parkville, VIC, Australia
Cronberg, Tobias;  Department of Clinical Sciences Lund, Lund University, Lund, Sweden, Department of Neurology, Skåne University Hospital, Lund, Sweden
Moseby-Knappe, Marion;  Department of Clinical Sciences Lund, Lund University, Lund, Sweden, Department of Rehabilitation, Skåne University Hospital, Lund, Sweden
More authors (32 more) Less
External co-authors :
yes
Language :
English
Title :
Prediction of good functional outcome decreases diagnostic uncertainty in unconscious survivors after out-of-hospital cardiac arrest.
Publication date :
16 June 2025
Journal title :
Resuscitation
ISSN :
0300-9572
eISSN :
1873-1570
Publisher :
Elsevier BV, Ireland
Pages :
110686
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 24 June 2025

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