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Thorgeirsdóttir B, Levin H, Spångfors M, Annborn M, Cronberg T, Nielsen N, Lybeck A, Friberg H, Frigyesi A. Plasma proenkephalin A 119-159 and dipeptidyl peptidase 3 on admission after cardiac arrest help predict long-term neurological outcome. Resuscitation 2021; 163:108-115. [PMID: 33930500 DOI: 10.1016/j.resuscitation.2021.04.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 03/20/2021] [Accepted: 04/08/2021] [Indexed: 11/15/2022]
Abstract
BACKGROUND A large proportion of adult survivors of cardiac arrest have a poor neurological outcome. Guidelines recommend multimodal neuro-prognostication no earlier than 72-96 h after cardiac arrest. There is great interest in earlier prognostic markers, including very early markers at admission. The novel blood biomarkers proenkephalin A 119-159 (penKid), bioactive adrenomedullin (bio-ADM) and circulating dipeptidyl peptidase 3 (cDPP3) have not been previously investigated for the early prognosis of cardiac arrest survivors. METHODS This multicentre observational study included adult survivors of cardiac arrest admitted to intensive care at four Swedish intensive care units (ICUs) during 2016. Blood samples were collected at ICU admission and batch analysed. The association between admission plasma penKid, bio-ADM and cDPP3 and poor long-term neurological outcome, according to the Cerebral Performance Category (CPC) scale, was assessed by binary logistic regression. Their prognostic performance was assessed using the area under the receiver operating characteristic curve (AUC). RESULTS A total of 190 patients were included, of which 136 patients had suffered out-of-hospital and 54 patients in-hospital cardiac arrest. Poor long-term neurological outcome was associated with elevated admission plasma concentrations of penKid and cDPP3, but not with bio-ADM. The association for penKid, but not for cDPP3, remained after adjusting for clinical cardiac arrest variables with prognostic value (time to return of spontaneous circulation (ROSC), initial rhythm, admission Glasgow coma scale (GCS) motor score and absence of pupillary reflexes). The prognostic performance of above mentioned clinical cardiac arrest variables alone was very good with an AUC of 0.90 (95% confidence interval, CI, 0.86-0.95), but improved further with the addition of penKid resulting in an AUC of 0.93 (95% CI 0.89-0.97, p < 0.026). Plasma penKid and cDPP3 alone provided moderate long-term prognostic information with AUCs of 0.70 and 0.71, respectively. CONCLUSION After cardiac arrest, admission plasma levels of penKid and cDPP3, but not bio-ADM, predicted long-term neurological outcome. When added to clinical cardiac arrest variables, penKid further improved prognostic performance.
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Affiliation(s)
- Bergthóra Thorgeirsdóttir
- Department of Clinical Sciences, Anaesthesiology and Intensive Care, Lund University, SE-22185 Lund, Sweden; Skåne University Hospital, Intensive and Perioperative Care, SE-21428 Malmö, Sweden
| | - Helena Levin
- Department of Clinical Sciences, Anaesthesiology and Intensive Care, Lund University, SE-22185 Lund, Sweden; Skåne University Hospital, Research and Education, SE-22185 Lund, Sweden
| | - Martin Spångfors
- Department of Clinical Sciences, Anaesthesiology and Intensive Care, Lund University, SE-22185 Lund, Sweden; Kristianstad Central Hospital, Anaesthesia and Intensive Care, SE-29185 Kristianstad, Sweden
| | - Martin Annborn
- Department of Clinical Sciences, Anaesthesiology and Intensive Care, Lund University, SE-22185 Lund, Sweden; Helsingborg Hospital, Anaesthesia and Intensive Care, SE-25187 Helsingborg, Sweden
| | - Tobias Cronberg
- Department of Clinical Sciences, Anaesthesiology and Intensive Care, Lund University, SE-22185 Lund, Sweden; Skåne University Hospital, Department of Neurology, SE-22185 Lund, Sweden
| | - Niklas Nielsen
- Department of Clinical Sciences, Anaesthesiology and Intensive Care, Lund University, SE-22185 Lund, Sweden; Helsingborg Hospital, Anaesthesia and Intensive Care, SE-25187 Helsingborg, Sweden
| | - Anna Lybeck
- Department of Clinical Sciences, Anaesthesiology and Intensive Care, Lund University, SE-22185 Lund, Sweden; Skåne University Hospital, Intensive and Perioperative Care, SE-22185 Lund, Sweden
| | - Hans Friberg
- Department of Clinical Sciences, Anaesthesiology and Intensive Care, Lund University, SE-22185 Lund, Sweden; Skåne University Hospital, Intensive and Perioperative Care, SE-21428 Malmö, Sweden
| | - Attila Frigyesi
- Department of Clinical Sciences, Anaesthesiology and Intensive Care, Lund University, SE-22185 Lund, Sweden; Skåne University Hospital, Intensive and Perioperative Care, SE-22185 Lund, Sweden.
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SSEP amplitude accurately predicts both good and poor neurological outcome early after cardiac arrest; a post-hoc analysis of the ProNeCA multicentre study. Resuscitation 2021; 163:162-171. [PMID: 33819501 DOI: 10.1016/j.resuscitation.2021.03.028] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 03/17/2021] [Accepted: 03/26/2021] [Indexed: 11/23/2022]
Abstract
AIM To assess if, in comatose resuscitated patients, the amplitude of the N20 wave (N20amp) of somatosensory evoked potentials (SSEP) can predict 6-months neurological outcome. SETTING Multicentre study in 13 Italian intensive care units. METHODS The N20amp in microvolts (μV) was measured at 12 h, 24 h, and 72 h from cardiac arrest, along with pupillary reflex (PLR) and a 30-min EEG classified according to the ACNS terminology. Sensitivity and false positive rate (FPR) of N20amp alone or in combination were calculated. RESULTS 403 patients (age 69[58-68] years) were included. At 12 h, an N20amp >3 μV predicted good neurological outcome (Cerebral Performance Categories [CPC] 1-2) with 61[50-72]% sensitivity and 11[6-18]% FPR. Combining it with a benign (continuous or nearly continuous) EEG increased sensitivity to 91[82-96]%. For poor outcome (CPC 3-5), an N20Amp ≤0.38 μV, ≤0.73 μV and ≤1.01 μV at 12 h, 24 h, and 72 h, respectively, had 0% FPR with sensitivity ranging from 61[51-69]% and 82[76-88]%. Sensitivity was higher than that of a bilaterally absent N20 at all time points. At 12 h and 24 h, a highly malignant (suppression or burst-suppression) EEG and bilaterally absent PLR achieved 0% FPR only when combined with SSEP. A combination of all three predictors yielded a 0[0-4]% FPR, with maximum sensitivity of 44[36-53]%. CONCLUSION At 12 h from arrest, a high N20Amp predicts good outcome with high sensitivity, especially when combined with benign EEG. At 12 h and 24 h from arrest a low-voltage N20amp has a high sensitivity and is more specific than EEG or PLR for predicting poor outcome.
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53
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Nolan JP, Sandroni C, Böttiger BW, Cariou A, Cronberg T, Friberg H, Genbrugge C, Haywood K, Lilja G, Moulaert VRM, Nikolaou N, Olasveengen TM, Skrifvars MB, Taccone F, Soar J. European Resuscitation Council and European Society of Intensive Care Medicine guidelines 2021: post-resuscitation care. Intensive Care Med 2021; 47:369-421. [PMID: 33765189 PMCID: PMC7993077 DOI: 10.1007/s00134-021-06368-4] [Citation(s) in RCA: 451] [Impact Index Per Article: 150.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 02/08/2021] [Indexed: 12/13/2022]
Abstract
The European Resuscitation Council (ERC) and the European Society of Intensive Care Medicine (ESICM) have collaborated to produce these post-resuscitation care guidelines for adults, which are based on the 2020 International Consensus on Cardiopulmonary Resuscitation Science with Treatment Recommendations. The topics covered include the post-cardiac arrest syndrome, diagnosis of cause of cardiac arrest, control of oxygenation and ventilation, coronary reperfusion, haemodynamic monitoring and management, control of seizures, temperature control, general intensive care management, prognostication, long-term outcome, rehabilitation and organ donation.
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Affiliation(s)
- Jerry P. Nolan
- University of Warwick, Warwick Medical School, Coventry, CV4 7AL UK
- Royal United Hospital, Bath, BA1 3NG UK
| | - Claudio Sandroni
- Department of Intensive Care, Emergency Medicine and Anaesthesiology, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy
- Institute of Anaesthesiology and Intensive Care Medicine, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Bernd W. Böttiger
- Department of Anaesthesiology and Intensive Care Medicine, University Hospital of Cologne, Kerpener Straße 62, 50937 Cologne, Germany
| | - Alain Cariou
- Cochin University Hospital (APHP) and University of Paris (Medical School), Paris, France
| | - Tobias Cronberg
- Department of Clinical Sciences, Neurology, Lund University, Skane University Hospital, Lund, Sweden
| | - Hans Friberg
- Department of Clinical Sciences, Anaesthesia and Intensive Care Medicine, Lund University, Skane University Hospital, Lund, Sweden
| | - Cornelia Genbrugge
- Acute Medicine Research Pole, Institute of Experimental and Clinical Research (IREC), Université Catholique de Louvain, Brussels, Belgium
- Emergency Department, University Hospitals Saint-Luc, Brussels, Belgium
| | - Kirstie Haywood
- Warwick Research in Nursing, Division of Health Sciences, Warwick Medical School, University of Warwick, Room A108, Coventry, CV4 7AL UK
| | - Gisela Lilja
- Department of Clinical Sciences Lund, Neurology, Lund University, Skane University Hospital, Lund, Sweden
| | - Véronique R. M. Moulaert
- Department of Rehabilitation Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Nikolaos Nikolaou
- Cardiology Department, Konstantopouleio General Hospital, Athens, Greece
| | - Theresa Mariero Olasveengen
- Department of Anesthesiology, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Markus B. Skrifvars
- Department of Emergency Care and Services, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Fabio Taccone
- Department of Intensive Care, Hôpital Erasme, Université Libre de Bruxelles, Route de Lennik, 808, 1070 Brussels, Belgium
| | - Jasmeet Soar
- Southmead Hospital, North Bristol NHS Trust, Bristol, BS10 5NB UK
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54
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Nolan JP, Sandroni C, Böttiger BW, Cariou A, Cronberg T, Friberg H, Genbrugge C, Haywood K, Lilja G, Moulaert VRM, Nikolaou N, Mariero Olasveengen T, Skrifvars MB, Taccone F, Soar J. European Resuscitation Council and European Society of Intensive Care Medicine Guidelines 2021: Post-resuscitation care. Resuscitation 2021; 161:220-269. [PMID: 33773827 DOI: 10.1016/j.resuscitation.2021.02.012] [Citation(s) in RCA: 358] [Impact Index Per Article: 119.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
The European Resuscitation Council (ERC) and the European Society of Intensive Care Medicine (ESICM) have collaborated to produce these post-resuscitation care guidelines for adults, which are based on the 2020 International Consensus on Cardiopulmonary Resuscitation Science with Treatment Recommendations. The topics covered include the post-cardiac arrest syndrome, diagnosis of cause of cardiac arrest, control of oxygenation and ventilation, coronary reperfusion, haemodynamic monitoring and management, control of seizures, temperature control, general intensive care management, prognostication, long-term outcome, rehabilitation, and organ donation.
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Affiliation(s)
- Jerry P Nolan
- University of Warwick, Warwick Medical School, Coventry CV4 7AL, UK; Royal United Hospital, Bath, BA1 3NG, UK.
| | - Claudio Sandroni
- Department of Intensive Care, Emergency Medicine and Anaesthesiology, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Rome, Italy; Institute of Anaesthesiology and Intensive Care Medicine, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Bernd W Böttiger
- University Hospital of Cologne, Kerpener Straße 62, D-50937 Cologne, Germany
| | - Alain Cariou
- Cochin University Hospital (APHP) and University of Paris (Medical School), Paris, France
| | - Tobias Cronberg
- Department of Clinical Sciences, Neurology, Lund University, Skane University Hospital, Lund, Sweden
| | - Hans Friberg
- Department of Clinical Sciences, Anaesthesia and Intensive Care Medicine, Lund University, Skane University Hospital, Lund, Sweden
| | - Cornelia Genbrugge
- Acute Medicine Research Pole, Institute of Experimental and Clinical Research (IREC) Université Catholique de Louvain, Brussels, Belgium; Emergency Department, University Hospitals Saint-Luc, Brussels, Belgium
| | - Kirstie Haywood
- Warwick Research in Nursing, Room A108, Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK
| | - Gisela Lilja
- Lund University, Skane University Hospital, Department of Clinical Sciences Lund, Neurology, Lund, Sweden
| | - Véronique R M Moulaert
- University of Groningen, University Medical Center Groningen, Department of Rehabilitation Medicine, Groningen, The Netherlands
| | - Nikolaos Nikolaou
- Cardiology Department, Konstantopouleio General Hospital, Athens, Greece
| | - Theresa Mariero Olasveengen
- Department of Anesthesiology, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Norway
| | - Markus B Skrifvars
- Department of Emergency Care and Services, University of Helsinki and Helsinki University Hospital, Finland
| | - Fabio Taccone
- Department of Intensive Care, Hôpital Erasme, Université Libre de Bruxelles, Route de Lennik, 808, 1070 Brussels, Belgium
| | - Jasmeet Soar
- Southmead Hospital, North Bristol NHS Trust, Bristol BS10 5NB, UK
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55
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Domínguez-Gil B, Ascher N, Capron AM, Gardiner D, Manara AR, Bernat JL, Miñambres E, Singh JM, Porte RJ, Markmann JF, Dhital K, Ledoux D, Fondevila C, Hosgood S, Van Raemdonck D, Keshavjee S, Dubois J, McGee A, Henderson GV, Glazier AK, Tullius SG, Shemie SD, Delmonico FL. Expanding controlled donation after the circulatory determination of death: statement from an international collaborative. Intensive Care Med 2021; 47:265-281. [PMID: 33635355 PMCID: PMC7907666 DOI: 10.1007/s00134-020-06341-7] [Citation(s) in RCA: 82] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 12/21/2020] [Indexed: 12/14/2022]
Abstract
A decision to withdraw life-sustaining treatment (WLST) is derived by a conclusion that further treatment will not enable a patient to survive or will not produce a functional outcome with acceptable quality of life that the patient and the treating team regard as beneficial. Although many hospitalized patients die under such circumstances, controlled donation after the circulatory determination of death (cDCDD) programs have been developed only in a reduced number of countries. This International Collaborative Statement aims at expanding cDCDD in the world to help countries progress towards self-sufficiency in transplantation and offer more patients the opportunity of organ donation. The Statement addresses three fundamental aspects of the cDCDD pathway. First, it describes the process of determining a prognosis that justifies the WLST, a decision that should be prior to and independent of any consideration of organ donation and in which transplant professionals must not participate. Second, the Statement establishes the permanent cessation of circulation to the brain as the standard to determine death by circulatory criteria. Death may be declared after an elapsed observation period of 5 min without circulation to the brain, which confirms that the absence of circulation to the brain is permanent. Finally, the Statement highlights the value of perfusion repair for increasing the success of cDCDD organ transplantation. cDCDD protocols may utilize either in situ or ex situ perfusion consistent with the practice of each country. Methods to accomplish the in situ normothermic reperfusion of organs must preclude the restoration of brain perfusion to not invalidate the determination of death.
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Affiliation(s)
| | - Nancy Ascher
- Department of Surgery, University of California, San Francisco, CA, USA
| | - Alexander M Capron
- Scott H. Bice Chair in Healthcare Law, Policy and Ethics, Department of Medicine and Law, University of Southern California, Los Angeles, CA, USA
| | - Dale Gardiner
- Intensive Care Medicine, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Alexander R Manara
- Consultant in Intensive Care Medicine, The Intensive Care Unit, Southmead Hospital, North Bristol NHS Trust, Bristol, UK
| | - James L Bernat
- Department of Neurology and Medicine, Active Emeritus, Dartmouth Geisel School of Medicine, Hanover, NH, USA
| | - Eduardo Miñambres
- Transplant Coordination Unit and Service of Intensive Care, University Hospital Marqués de Valdecilla-IDIVAL, School of Medicine, University of Cantabria, Santander, Spain
| | - Jeffrey M Singh
- University of Toronto, and Trillium Gift of Life Network, Toronto, Canada
| | - Robert J Porte
- Department of Surgery, University Medical Center Groningen, Groningen, The Netherlands
| | - James F Markmann
- Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Kumud Dhital
- Department of Cardiothoracic Surgery, Sant Vincent'S Hospital, Sidney, Australia
| | - Didier Ledoux
- Department of Anesthesia and Intensive Care, University of Liège, Liège, Belgium
| | - Constantino Fondevila
- General and Digestive Surgery, Hospital Clínic, IDIBAPS, CIBERehd, University of Barcelona, Barcelona, Spain
| | - Sarah Hosgood
- Department of Surgery, University of Cambridge, Cambridge, UK
| | - Dirk Van Raemdonck
- University Hospitals Leuven and Catholic University Leuven, Leuven, Belgium
| | - Shaf Keshavjee
- Toronto General Hospital, University of Toronto, Toronto, Canada
| | - James Dubois
- Bioethics Research Center, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Andrew McGee
- Australian Centre for Health Law Research, Faculty of Law, Queensland University of Technology, Brisbane City, Australia
| | - Galen V Henderson
- Director of Neurocritical Care, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Stefan G Tullius
- Division of Transplant Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sam D Shemie
- Pediatric Intensive Care, Montreal Children's Hospital, McGill University, Medical Advisor, Deceased Donation, Canadian Blood Services, Montreal, Canada
| | - Francis L Delmonico
- Chief Medical Officer, New England Donor Services, 60 1st Ave, Waltham, MA, 02451, USA.
- Department of Surgery, Harvard Medical School at Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA.
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56
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Andersson P, Johnsson J, Björnsson O, Cronberg T, Hassager C, Zetterberg H, Stammet P, Undén J, Kjaergaard J, Friberg H, Blennow K, Lilja G, Wise MP, Dankiewicz J, Nielsen N, Frigyesi A. Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2021; 25:83. [PMID: 33632280 PMCID: PMC7905905 DOI: 10.1186/s13054-021-03505-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 02/10/2021] [Indexed: 12/16/2022]
Abstract
Background Prognostication of neurological outcome in patients who remain comatose after cardiac arrest resuscitation is complex. Clinical variables, as well as biomarkers of brain injury, cardiac injury, and systemic inflammation, all yield some prognostic value. We hypothesised that cumulative information obtained during the first three days of intensive care could produce a reliable model for predicting neurological outcome following out-of-hospital cardiac arrest (OHCA) using artificial neural network (ANN) with and without biomarkers. Methods We performed a post hoc analysis of 932 patients from the Target Temperature Management trial. We focused on comatose patients at 24, 48, and 72 h post-cardiac arrest and excluded patients who were awake or deceased at these time points. 80% of the patients were allocated for model development (training set) and 20% for internal validation (test set). To investigate the prognostic potential of different levels of biomarkers (clinically available and research-grade), patients’ background information, and intensive care observation and treatment, we created three models for each time point: (1) clinical variables, (2) adding clinically accessible biomarkers, e.g., neuron-specific enolase (NSE) and (3) adding research-grade biomarkers, e.g., neurofilament light (NFL). Patient outcome was the dichotomised Cerebral Performance Category (CPC) at six months; a good outcome was defined as CPC 1–2 whilst a poor outcome was defined as CPC 3–5. The area under the receiver operating characteristic curve (AUROC) was calculated for all test sets. Results AUROC remained below 90% when using only clinical variables throughout the first three days in the ICU. Adding clinically accessible biomarkers such as NSE, AUROC increased from 82 to 94% (p < 0.01). The prognostic accuracy remained excellent from day 1 to day 3 with an AUROC at approximately 95% when adding research-grade biomarkers. The models which included NSE after 72 h and NFL on any of the three days had a low risk of false-positive predictions while retaining a low number of false-negative predictions. Conclusions In this exploratory study, ANNs provided good to excellent prognostic accuracy in predicting neurological outcome in comatose patients post OHCA. The models which included NSE after 72 h and NFL on all days showed promising prognostic performance. Supplementary Information The online version contains supplementary material available at 10.1186/s13054-021-03505-9.
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Affiliation(s)
- Peder Andersson
- Department of Clinical Sciences Lund, Anaesthesia and Intensive Care, Lund University, Skåne University Hospital, Lund, Sweden. .,Department of Intensive and Perioperative Care, Skåne University Hospital, Getingevägen 4, 222 41, LundLund, Sweden.
| | - Jesper Johnsson
- Department of Clinical Sciences Lund, Anesthesia and Intensive Care, Lund University, Helsingborg Hospital, Lund, Sweden
| | - Ola Björnsson
- Department of Energy Sciences, Faculty of Engineering, Lund University, Lund, Sweden.,Centre for Mathematical Sciences, Mathematical Statistics, Lund University, Lund, Sweden
| | - Tobias Cronberg
- Department of Clinical Sciences Lund, Neurology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Christian Hassager
- Department of Cardiology, Rigshospitalet and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy At the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.,UK Dementia Research Institute At UCL, London, UK
| | - Pascal Stammet
- Medical and Health Directorate, National Fire and Rescue Corps, 1, rue Robert Stumper, 2557, Luxembourg, Luxembourg
| | - Johan Undén
- Department of Clinical Sciences Malmö, Anaesthesia and Intensive Care, Lund University, Hallands Hospital Halmstad, Halland, Sweden
| | - Jesper Kjaergaard
- Department of Cardiology, Rigshospitalet and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Hans Friberg
- Department of Clinical Sciences Lund, Anaesthesia and Intensive Care, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy At the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Gisela Lilja
- Department of Clinical Sciences Lund, Neurology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Matt P Wise
- Adult Critical Care, University Hospital of Wales, Cardiff, UK
| | - Josef Dankiewicz
- Department of Clinical Sciences Lund, Cardiology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Niklas Nielsen
- Department of Clinical Sciences Lund, Anesthesia and Intensive Care, Lund University, Helsingborg Hospital, Lund, Sweden
| | - Attila Frigyesi
- Department of Clinical Sciences Lund, Anaesthesia and Intensive Care, Lund University, Skåne University Hospital, Lund, Sweden.,Centre for Mathematical Sciences, Mathematical Statistics, Lund University, Lund, Sweden
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Quintard H, Bouzat P, Geeraerts T. Towards a new pattern for epidemiology of traumatic brain injury. Anaesth Crit Care Pain Med 2021; 40:100808. [PMID: 33497864 DOI: 10.1016/j.accpm.2021.100808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 10/07/2020] [Indexed: 11/19/2022]
Affiliation(s)
- Hervé Quintard
- Division of Intensive Care, University Hospital of Geneva, Geneva, Switzerland.
| | - Pierre Bouzat
- Division Anesthésie Réanimation, Grenoble Alpes University Hospital, Grenoble Institut des Neurosciences, Inserm U1216, Grenoble Alpes University, 38043 Grenoble, France
| | - Thomas Geeraerts
- Department of Anaesthesiology and Critical Care, University Hospital of Toulouse, University Toulouse 3-Paul Sabatier, Toulouse, France
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58
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New evidence supports multi-modal neuroprognostication after cardiac arrest. Resuscitation 2021; 160:170-171. [PMID: 33482268 DOI: 10.1016/j.resuscitation.2021.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 01/08/2021] [Indexed: 10/22/2022]
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59
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Does a combination of ≥2 abnormal tests vs. the ERC-ESICM stepwise algorithm improve prediction of poor neurological outcome after cardiac arrest? A post-hoc analysis of the ProNeCA multicentre study. Resuscitation 2020; 160:158-167. [PMID: 33338571 DOI: 10.1016/j.resuscitation.2020.12.003] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 11/24/2020] [Accepted: 02/13/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND Bilaterally absent pupillary light reflexes (PLR) or N20 waves of short-latency evoked potentials (SSEPs) are recommended by the 2015 ERC-ESICM guidelines as robust, first-line predictors of poor neurological outcome after cardiac arrest. However, recent evidence shows that the false positive rates (FPRs) of these tests may be higher than previously reported. We investigated if testing accuracy is improved when combining PLR/SSEPs with malignant electroencephalogram (EEG), oedema on brain computed tomography (CT), or early status myoclonus (SM). METHODS Post-hoc analysis of ProNeCA multicentre prognostication study. We compared the prognostic accuracy of the ERC-ESICM prognostication strategy vs. that of a new strategy combining ≥2 abnormal results from any of PLR, SSEPs, EEG, CT and SM. We also investigated if using alternative classifications for abnormal SSEPs (absent-pathological vs. bilaterally-absent N20) or malignant EEG (ACNS-defined suppression or burst-suppression vs. unreactive burst-suppression or status epilepticus) improved test sensitivity. RESULTS We assessed 210 adult comatose resuscitated patients of whom 164 (78%) had poor neurological outcome (CPC 3-5) at six months. FPRs and sensitivities of the ≥2 abnormal test strategy vs. the ERC-ESICM algorithm were 0[0-8]% vs. 7 [1-18]% and 49[41-57]% vs. 63[56-71]%, respectively (p < .0001). Using alternative SSEP/EEG definitions increased the number of patients with ≥2 concordant test results and the sensitivity of both strategies (67[59-74]% and 54[46-61]% respectively), with no loss of specificity. CONCLUSIONS In comatose resuscitated patients, a prognostication strategy combining ≥2 among PLR, SSEPs, EEG, CT and SM was more specific than the 2015 ERC-ESICM prognostication algorithm for predicting 6-month poor neurological outcome.
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60
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Casaer MP, De Jong A, Perner A. Clinical validation of precision medicine protocols: the last mile is the longest. Intensive Care Med 2020; 47:80-82. [PMID: 33123786 DOI: 10.1007/s00134-020-06301-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 10/13/2020] [Indexed: 01/12/2023]
Affiliation(s)
- Michael P Casaer
- Clinical Department and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.
| | - Audrey De Jong
- University of Montpellier, INSERM U1046, CNRS UMR 9214, Montpellier, France
- Anesthesia and Critical Care Department B, Saint Eloi Teaching Hospital, Centre Hospitalier Universitaire Montpellier, 34295, Montpellier Cedex 5, France
| | - Anders Perner
- Department of Intensive Care, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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Beil M, Sviri S, Flaatten H, De Lange DW, Jung C, Szczeklik W, Leaver S, Rhodes A, Guidet B, van Heerden PV. On predictions in critical care: The individual prognostication fallacy in elderly patients. J Crit Care 2020; 61:34-38. [PMID: 33075607 PMCID: PMC7553132 DOI: 10.1016/j.jcrc.2020.10.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 10/08/2020] [Accepted: 10/08/2020] [Indexed: 12/13/2022]
Abstract
Predicting the future course of critical conditions involves personal experience, heuristics and statistical models. Although these methods may perform well for some cases and population averages, they suffer from substantial shortcomings when applied to individual patients. The reasons include methodological problems of statistical modeling as well as limitations of cross-sectional data sampling. Accurate predictions for individual patients become crucial when they have to guide irreversible decision-making. This notably applies to triage situations in response to a lack of healthcare resources. We will discuss these issues and argue that analysing longitudinal data obtained from time-limited trials in intensive care can provide a more robust approach to individual prognostication.
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Affiliation(s)
- Michael Beil
- Medical Intensive Care Unit, Hadassah University Hospital, POB 12000, Jerusalem 9112001, Israel
| | - Sigal Sviri
- Medical Intensive Care Unit, Hadassah University Hospital, POB 12000, Jerusalem 9112001, Israel
| | - Hans Flaatten
- Intensive Care and Department of Clinical Medicine, Haukeland Universitetssjukehus, Bergen, Norway
| | - Dylan W De Lange
- Department of Intensive Care Medicine, University Medical Center, University Utrecht, Utrecht, the Netherlands
| | - Christian Jung
- Division of Cardiology, University Hospital, Heinrich-Heine-University, Düsseldorf, Germany
| | - Wojciech Szczeklik
- Department of Intensive Care, Jagiellonian University Medical College, Kraków, Poland
| | - Susannah Leaver
- Intensive Care, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Andrew Rhodes
- Intensive Care, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Bertrand Guidet
- Service de Réanimation Médicale, Hôpital Saint-Antoine, Assistance Publique Hôpitaux de Paris, Paris, France
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Sandroni C, Grippo A, Nolan JP. ERC-ESICM guidelines for prognostication after cardiac arrest: time for an update. Intensive Care Med 2020; 46:1901-1903. [DOI: 10.1007/s00134-020-06224-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 08/19/2020] [Indexed: 11/28/2022]
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