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Hernández-Hernández MA, Cherchi MS, Torres-Díez E, Orizaola P, Martín-Láez R, Fernández-Torre JL. Bispectral index monitoring to detect delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage. J Crit Care 2022; 72:154154. [PMID: 36152563 DOI: 10.1016/j.jcrc.2022.154154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 09/07/2022] [Accepted: 09/07/2022] [Indexed: 12/15/2022]
Abstract
PURPOSE Evaluate the bispectral index (BIS) monitoring to detect delayed cerebral ischemia (DCI) after aneurysmal subarachnoid hemorrhage (aSAH). MATERIALS AND METHODS A single-center prospective study in patients with aSAH. BIS monitoring was recorded during 25-120 min in two periods, within the initial 72 h (BIS1) and between days 4 and 6 (BIS2) from admission. The median for each exported BIS parameter was analyzed. Transcranial Doppler (TCD) sonography was simultaneously performed with BIS1 (TCD1) and BIS2 (TCD2) monitoring. A multivariate logistic regression model was built to identify the variables associated with DCI. RESULTS Sixty-four patients were included and 16 (25%) developed DCI. During BIS2 monitoring, significant differences were found in BIS value (left, p = 0.01; right, p = 0.009), 95% spectral edge frequency (left and right, p = 0.04), and total power (left and right, p = 0.04). In multivariable analysis, vasospasm on TCD2 (OR 42.8 [95% CI 3.1-573]; p = 0.005), a median BIS2 value <85 in one or both sides (OR 6.2 [95% CI 1.28-30]; p = 0.023), and age (OR 1.08 [95% CI 1.00-1.17]; p = 0.04) were associated with the development of DCI. CONCLUSIONS BIS value is the most useful BIS parameter for detecting DCI after aSAH. Pending further validation, BIS monitoring might be even more accurate than TCD.
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Affiliation(s)
- Miguel A Hernández-Hernández
- Department of Intensive Medicine, Hospital Universitario Marqués de Valdecilla, Santander, Spain; Biomedical Research Institute (IDIVAL), Santander, Spain
| | - Marina S Cherchi
- Department of Intensive Medicine, Hospital Universitario Marqués de Valdecilla, Santander, Spain; Biomedical Research Institute (IDIVAL), Santander, Spain.
| | - Eduardo Torres-Díez
- Interventional Neuroradiology, Department of Radiology, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Pedro Orizaola
- Department of Clinical Neurophysiology, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Rubén Martín-Láez
- Biomedical Research Institute (IDIVAL), Santander, Spain; Department of Neurosurgery and Surgical Spine Unit, Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - José L Fernández-Torre
- Biomedical Research Institute (IDIVAL), Santander, Spain; Department of Clinical Neurophysiology, Hospital Universitario Marqués de Valdecilla, Santander, Spain; Department of Physiology and Pharmacology, University of Cantabria (UNICAN), Santander, Spain
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2
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Arbas-Redondo E, Rosillo-Rodríguez SO, Merino-Argos C, Marco-Clement I, Rodríguez-Sotelo L, Martínez-Marín LA, Martín-Polo L, Vélez-Salas A, Caro-Codón J, García-Arribas D, Armada-Romero E, López-De-Sa E. Bispectral index and suppression ratio after cardiac arrest: are they useful as bedside tools for rational treatment escalation plans? REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2022; 75:992-1000. [PMID: 35570124 DOI: 10.1016/j.rec.2022.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 03/15/2022] [Indexed: 06/15/2023]
Abstract
INTRODUCTION AND OBJECTIVES Myocardial dysfunction contributes to early mortality (24-72 hours) among survivors of a cardiac arrest (CA). The benefits of mechanical support in refractory shock should be balanced against the patient's potential for neurological recovery. To date, these early treatment decisions have been taken based on limited information leading mainly to undertreatment. Therefore, there is a need for early, reliable, accessible, and simple tools that offer information on the possibilities of neurological improvement. METHODS We collected data from bispectral index (BIS) and suppression ratio (SR) monitoring of adult comatose survivors of CA managed with targeted temperature management (TTM). Neurological status was assessed according to the Cerebral Performance Category (CPC) scale. RESULTS We included 340 patients. At the first full neurological evaluation, 211 patients (62.1%) achieved good outcome or CPC 1-2. Mean BIS values were significantly higher and median SR lower in patients with CPC 1-2. An average BIS> 26 during first 12 hours of TTM predicted good outcome with 89.5% sensitivity and 75.8% specificity (AUC of 0.869), while average SR values> 24 during the first 12 hours of TTM predicted poor outcome (CPC 3-5) with 91.5% sensitivity and 81.8% specificity (AUC, 0.906). Hourly BIS and SR values exhibited good predictive performance (AUC> 0.85), as soon as hour 2 for SR and hour 4 for BIS. CONCLUSIONS BIS/SR are associated with patients' potential for neurological recovery after CA. This finding could help to create awareness of the possibility of a better outcome in patients who might otherwise be wrongly considered as nonviable and to establish personalized treatment escalation plans.
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Affiliation(s)
| | - Sandra O Rosillo-Rodríguez
- Unidad de Cuidados Agudos Cardiovasculares, Servicio de Cardiología, Hospital Universitario La Paz, Madrid, Spain; Instituto de Investigación Hospital Universitario La Paz (IdiPAZ), Madrid, Spain
| | | | | | | | | | | | | | - Juan Caro-Codón
- Unidad de Cuidados Agudos Cardiovasculares, Servicio de Cardiología, Hospital Universitario La Paz, Madrid, Spain; Instituto de Investigación Hospital Universitario La Paz (IdiPAZ), Madrid, Spain
| | - Daniel García-Arribas
- Unidad de Cuidados Agudos Cardiovasculares, Servicio de Cardiología, Hospital Universitario La Paz, Madrid, Spain
| | - Eduardo Armada-Romero
- Unidad de Cuidados Agudos Cardiovasculares, Servicio de Cardiología, Hospital Universitario La Paz, Madrid, Spain; Instituto de Investigación Hospital Universitario La Paz (IdiPAZ), Madrid, Spain
| | - Esteban López-De-Sa
- Unidad de Cuidados Agudos Cardiovasculares, Servicio de Cardiología, Hospital Universitario La Paz, Madrid, Spain; Instituto de Investigación Hospital Universitario La Paz (IdiPAZ), Madrid, Spain
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3
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Índice biespectral y tasa de supresión tras parada cardiaca: ¿son útiles para individualizar planes de escalada terapéutica? Rev Esp Cardiol 2022. [DOI: 10.1016/j.recesp.2022.03.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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4
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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. Postreanimationsbehandlung. Notf Rett Med 2021. [DOI: 10.1007/s10049-021-00892-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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5
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Chen S, Lachance BB, Gao L, Jia X. Targeted temperature management and early neuro-prognostication after cardiac arrest. J Cereb Blood Flow Metab 2021; 41:1193-1209. [PMID: 33444088 PMCID: PMC8142127 DOI: 10.1177/0271678x20970059] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Targeted temperature management (TTM) is a recommended neuroprotective intervention for coma after out-of-hospital cardiac arrest (OHCA). However, controversies exist concerning the proper implementation and overall efficacy of post-CA TTM, particularly related to optimal timing and depth of TTM and cooling methods. A review of the literature finds that optimizing and individualizing TTM remains an open question requiring further clinical investigation. This paper will summarize the preclinical and clinical trial data to-date, current recommendations, and future directions of this therapy, including new cooling methods under investigation. For now, early induction, maintenance for at least 24 hours, and slow rewarming utilizing endovascular methods may be preferred. Moreover, timely and accurate neuro-prognostication is valuable for guiding ethical and cost-effective management of post-CA coma. Current evidence for early neuro-prognostication after TTM suggests that a combination of initial prediction models, biomarkers, neuroimaging, and electrophysiological methods is the optimal strategy in predicting neurological functional outcomes.
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Affiliation(s)
- Songyu Chen
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA.,Department of Neurosurgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Brittany Bolduc Lachance
- Program in Trauma, Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Liang Gao
- Department of Neurosurgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xiaofeng Jia
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA.,Department of Orthopedics, University of Maryland School of Medicine, Baltimore, MD, USA.,Department of Anatomy and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA.,Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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6
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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: 417] [Impact Index Per Article: 139.0] [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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7
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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: 338] [Impact Index Per Article: 112.7] [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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8
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Sandroni C, D'Arrigo S, Cacciola S, Hoedemaekers CWE, Kamps MJA, Oddo M, Taccone FS, Di Rocco A, Meijer FJA, Westhall E, Antonelli M, Soar J, Nolan JP, Cronberg T. Prediction of poor neurological outcome in comatose survivors of cardiac arrest: a systematic review. Intensive Care Med 2020; 46:1803-1851. [PMID: 32915254 PMCID: PMC7527362 DOI: 10.1007/s00134-020-06198-w] [Citation(s) in RCA: 164] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 07/15/2020] [Indexed: 12/17/2022]
Abstract
Purpose To assess the ability of clinical examination, blood biomarkers, electrophysiology, or neuroimaging assessed within 7 days from return of spontaneous circulation (ROSC) to predict poor neurological outcome, defined as death, vegetative state, or severe disability (CPC 3–5) at hospital discharge/1 month or later, in comatose adult survivors from cardiac arrest (CA). Methods PubMed, EMBASE, Web of Science, and the Cochrane Database of Systematic Reviews (January 2013–April 2020) were searched. Sensitivity and false-positive rate (FPR) for each predictor were calculated. Due to heterogeneities in recording times, predictor thresholds, and definition of some predictors, meta-analysis was not performed. Results Ninety-four studies (30,200 patients) were included. Bilaterally absent pupillary or corneal reflexes after day 4 from ROSC, high blood values of neuron-specific enolase from 24 h after ROSC, absent N20 waves of short-latency somatosensory-evoked potentials (SSEPs) or unequivocal seizures on electroencephalogram (EEG) from the day of ROSC, EEG background suppression or burst-suppression from 24 h after ROSC, diffuse cerebral oedema on brain CT from 2 h after ROSC, or reduced diffusion on brain MRI at 2–5 days after ROSC had 0% FPR for poor outcome in most studies. Risk of bias assessed using the QUIPS tool was high for all predictors. Conclusion In comatose resuscitated patients, clinical, biochemical, neurophysiological, and radiological tests have a potential to predict poor neurological outcome with no false-positive predictions within the first week after CA. Guidelines should consider the methodological concerns and limited sensitivity for individual modalities. (PROSPERO CRD42019141169) Electronic supplementary material The online version of this article (10.1007/s00134-020-06198-w) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Claudio Sandroni
- Department of Intensive Care, Emergency Medicine and Anesthesiology, Fondazione Policlinico Universitario "Agostino Gemelli"- IRCCS, Largo Francesco Vito, 1, 00168, Rome, Italy.,Institute of Anesthesiology and Intensive Care Medicine, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Sonia D'Arrigo
- Department of Intensive Care, Emergency Medicine and Anesthesiology, Fondazione Policlinico Universitario "Agostino Gemelli"- IRCCS, Largo Francesco Vito, 1, 00168, Rome, Italy.
| | - Sofia Cacciola
- Department of Intensive Care, Emergency Medicine and Anesthesiology, Fondazione Policlinico Universitario "Agostino Gemelli"- IRCCS, Largo Francesco Vito, 1, 00168, Rome, Italy
| | | | - Marlijn J A Kamps
- Intensive Care Catharina Hospital Eindhoven, Eindhoven, The Netherlands
| | - Mauro Oddo
- Department of Intensive Care Medicine, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Fabio S Taccone
- Department of Intensive Care, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Arianna Di Rocco
- Department of Public Health and Infectious Disease, Sapienza University, Rome, Italy
| | - Frederick J A Meijer
- Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Erik Westhall
- Department of ClinicalSciences, Clinical Neurophysiology, Lund University, Skane University Hospital, Lund, Sweden
| | - Massimo Antonelli
- Department of Intensive Care, Emergency Medicine and Anesthesiology, Fondazione Policlinico Universitario "Agostino Gemelli"- IRCCS, Largo Francesco Vito, 1, 00168, Rome, Italy.,Institute of Anesthesiology and Intensive Care Medicine, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Jasmeet Soar
- Critical Care Unit, Southmead Hospital, North Bristol NHS Trust, Bristol, UK
| | - Jerry P Nolan
- Department of Anaesthesia and Intensive Care Medicine, Royal United Hospital, Bath, UK
| | - Tobias Cronberg
- Department of Clinical Sciences Lund, Neurology, Lund University, Skane University Hospital, Lund, Sweden
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9
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Wang H, Tang L, Zhang L, Zhang ZL, Pei HH. Development a clinical prediction model of the neurological outcome for patients with coma and survived 24 hours after cardiopulmonary resuscitation. Clin Cardiol 2020; 43:1024-1031. [PMID: 32573817 PMCID: PMC7462189 DOI: 10.1002/clc.23403] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 05/14/2020] [Accepted: 05/26/2020] [Indexed: 01/14/2023] Open
Abstract
Background Cardiac arrest is still a global public health problem at present. The neurological outcome is the core indicator of the prognosis of cardiac arrest. However, there is no effective means or tools to predict the neurological outcome of patients with coma and survived 24 hours after successful cardiopulmonary resuscitation (CPR). Hypothesis Therefore, we expect to construct a prediction model to predict the neurological outcome for patients with coma and survived 24 hours after successful CPR. Methods A retrospective cohort study was used to construct a prediction model of the neurological function for patients with coma and survived 24 hours after successful CPR. From January 2007 to December 2015, a total of 262 patients met the inclusion and exclusion criteria. Results The predictive model was developed using preselected variables by a systematic review of the literature. Finally, we get five sets of models (three sets of construction models and two sets of internal verification models) which with similar predictive value. The stepwise model, which including seven variables (age, noncardiac etiology, nonshockable rhythm, bystander CPR, total epinephrine dose, APTT, and SOFA score), was the simplest model, so we choose it as our final predictive model. The area under the ROC curve (AUC), specificity, and sensitivity of the stepwise model were respectively 0.82 (0.77, 0.87), 0.72and 0.82. The AUC, specificity, and sensitivity of the bootstrap stepwise (BS stepwise) model were respectively 0.82 (0.77, 0.87), 0.71, and 0.82. Conclusion This new and validated predictive model may provide individualized estimates of neurological function for patients with coma and survived 24 hours after successful CPR using readily obtained clinical risk factors. External validation studies are required further to demonstrate the model's accuracy in diverse patient populations.
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Affiliation(s)
- Hai Wang
- Emergency Department & EICU , The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaan Xi, China
| | - Long Tang
- Department of Emergency, Shaanxi Provincial People's Hospital, Xi'an, Shaan Xi, China
| | - Li Zhang
- Emergency Department & EICU , The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaan Xi, China
| | - Zheng-Liang Zhang
- Emergency Department & EICU , The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaan Xi, China
| | - Hong-Hong Pei
- Emergency Department & EICU , The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaan Xi, China
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Abstract
BACKGROUND We previously validated simplified electroencephalogram (EEG) tracings obtained by a bispectral index (BIS) device against standard EEG. This retrospective study now investigated whether BIS EEG tracings can predict neurological outcome after cardiac arrest (CA). METHODS Bilateral BIS monitoring (BIS VISTA™, Aspect Medical Systems, Inc. Norwood, USA) was started following intensive care unit admission. Six, 12, 18, 24, 36 and 48 h after targeted temperature management (TTM) at 33 °C was started, BIS EEG tracings were extracted and reviewed by two neurophysiologists for the presence of slow diffuse rhythm, burst suppression, cerebral inactivity and epileptic activity (defined as continuous, monomorphic, > 2 Hz generalized sharp activity or continuous, monomorphic, < 2 Hz generalized blunt activity). At 180 days post-CA, neurological outcome was determined using cerebral performance category (CPC) classification (CPC1-2: good and CPC3-5: poor neurological outcome). RESULTS Sixty-three out-of-hospital cardiac arrest patients were enrolled for data analysis of whom 32 had a good and 31 a poor neurological outcome. Epileptic activity within 6-12 h predicted CPC3-5 with a positive predictive value (PPV) of 100%. Epileptic activity within time frames 18-24 and 36-48 h showed a PPV for CPC3-5 of 90 and 93%, respectively. Cerebral inactivity within 6-12 h predicted CPC3-5 with a PPV of 57%. In contrast, cerebral inactivity between 36 and 48 h predicted CPC3-5 with a PPV of 100%. The pattern with the worst predictive power at any time point was burst suppression with PPV of 44, 57 and 40% at 6-12 h, at 18-24 h and at 36-48 h, respectively. Slow diffuse rhythms at 6-12 h, at 18-24 h and at 36-48 h predicted CPC1-2 with PPV of 74, 76 and 80%, respectively. CONCLUSION Based on simplified BIS EEG, the presence of epileptic activity at any time and cerebral inactivity after the end of TTM may assist poor outcome prognostication in successfully resuscitated CA patients. A slow diffuse rhythm at any time after CA was indicative for a good neurological outcome.
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11
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Eertmans W, Tran TMP, Genbrugge C, Peene L, Mesotten D, Dens J, Jans F, De Deyne C. A prediction model for good neurological outcome in successfully resuscitated out-of-hospital cardiac arrest patients. Scand J Trauma Resusc Emerg Med 2018; 26:93. [PMID: 30413210 PMCID: PMC6230284 DOI: 10.1186/s13049-018-0558-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Accepted: 10/10/2018] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND In the initial hours after out-of-hospital cardiac arrest (OHCA), it remains difficult to estimate whether the degree of post-ischemic brain damage will be compatible with long-term good neurological outcome. We aimed to construct prognostic models able to predict good neurological outcome of OHCA patients within 48 h after CCU admission using variables that are bedside available. METHODS Based on prospectively gathered data, a retrospective data analysis was performed on 107 successfully resuscitated OHCA patients with a presumed cardiac cause of arrest. Targeted temperature management at 33 °C was initiated at CCU admission. Prediction models for good neurological outcome (CPC1-2) at 180 days post-CA were constructed at hour 1, 12, 24 and 48 after CCU admission. Following multiple imputation, variables were selected using the elastic-net method. Each imputed dataset was divided into training and validation sets (80% and 20% of patients, respectively). Logistic regression was fitted on training sets and prediction performance was evaluated on validation sets using misclassification rates. RESULTS The prediction model at hour 24 predicted good neurological outcome with the lowest misclassification rate (21.5%), using a cut-off probability of 0.55 (sensitivity = 75%; specificity = 82%). This model contained sex, age, diabetes status, initial rhythm, percutaneous coronary intervention, presence of a BIS 0 value, mean BIS value and lactate as predictive variables for good neurological outcome. DISCUSSION This study shows that good neurological outcome after OHCA can be reasonably predicted as early as 24 h following ICU admission using parameters that are bedside available. These prediction models could identify patients who would benefit the most from intensive care.
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Affiliation(s)
- Ward Eertmans
- Department of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium. .,Department of Anaesthesiology, Intensive Care, Emergency Medicine and Pain Therapy, Ziekenhuis Oost-Limburg, Schiepse Bos 6, 3600, Genk, Belgium.
| | - Thao Mai Phuong Tran
- Interuniversity Institute for Biostatistics and Statistical Bio-informatics, Hasselt University, Agoralaan Gebouw D, 3590, Diepenbeek, Belgium
| | - Cornelia Genbrugge
- Department of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium.,Department of Anaesthesiology, Intensive Care, Emergency Medicine and Pain Therapy, Ziekenhuis Oost-Limburg, Schiepse Bos 6, 3600, Genk, Belgium
| | - Laurens Peene
- Department of Anaesthesiology, Intensive Care, Emergency Medicine and Pain Therapy, Ziekenhuis Oost-Limburg, Schiepse Bos 6, 3600, Genk, Belgium
| | - Dieter Mesotten
- Department of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium.,Department of Anaesthesiology, Intensive Care, Emergency Medicine and Pain Therapy, Ziekenhuis Oost-Limburg, Schiepse Bos 6, 3600, Genk, Belgium
| | - Jo Dens
- Department of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium.,Department of Cardiology, Ziekenhuis Oost-Limburg, Schiepse Bos 6, 3600, Genk, Belgium
| | - Frank Jans
- Department of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium.,Department of Anaesthesiology, Intensive Care, Emergency Medicine and Pain Therapy, Ziekenhuis Oost-Limburg, Schiepse Bos 6, 3600, Genk, Belgium
| | - Cathy De Deyne
- Department of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium.,Department of Anaesthesiology, Intensive Care, Emergency Medicine and Pain Therapy, Ziekenhuis Oost-Limburg, Schiepse Bos 6, 3600, Genk, Belgium
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Park JH, Oh JH, Choi SP, Wee JH. Neurologic outcome after out-of-hospital cardiac arrest could be predicted with the help of bispectral-index during early targeted temperature management. Scand J Trauma Resusc Emerg Med 2018; 26:59. [PMID: 30005682 PMCID: PMC6045863 DOI: 10.1186/s13049-018-0529-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2018] [Accepted: 07/06/2018] [Indexed: 12/19/2022] Open
Abstract
Background Outcome prediction is crucial for out-of-hospital cardiac arrest (OHCA) survivors. Several attempts have been made to use the bispectral index (BIS) for this purpose. We aimed to investigate the prognostic power of the BIS during the early stage of targeted temperature management (TTM) after OHCA. Methods From Jan 2014 to Feb 2017, the BIS was determined in OHCA patients as soon as possible after the start of TTM. We injected a neuro-muscular blocking agent and recoded the BIS value and the time when the electromyographic (EMG) factor reached zero. The primary outcome was the cerebral performance category scale (CPC) score at 6 months, and a poor outcome was defined as a CPC score of 3, 4, or 5. The exclusion criteria were age under 18 years, traumatic cardiac arrest, and BIS data with a non-zero EMG factor. Results Sixty-five patients were included in this study. Good outcomes were observed for 16 patients (24.6%), and poor outcomes were observed for 49 patients (75.4%). The mean time of BIS recording was 2.3 ± 1.0 h after return of spontaneous circulation (ROSC). The mean BIS values of the good outcome and poor outcome groups were 35.6 ± 13.1 and 5.5 ± 9.2, respectively (p < 0.001). The area under the curve was 0.961. Use of a cut-off value of 20.5 to predict a good outcome yielded a sensitivity of 87.5% and specificity of 93.9%. Use of a cut-off value of 10.5 to predict a poor outcome yielded a sensitivity of 87.8% and specificity of 100%. Conclusion With the help of BIS, physicians could predict that a patient who has BIS value over 20.5 after ROSC could have a big chance to get good neurological outcome in less than three hours.
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Affiliation(s)
- Jeong Ho Park
- Department of Emergency Medicine, Yeouido St. Mary's Hospital, The Catholic University of Korea, College of Medicine, 10, 63-ro, Yeongdeungpo-gu, Seoul, 07345, Republic of Korea
| | - Jae Hun Oh
- Department of Emergency Medicine, Yeouido St. Mary's Hospital, The Catholic University of Korea, College of Medicine, 10, 63-ro, Yeongdeungpo-gu, Seoul, 07345, Republic of Korea
| | - Seung Pill Choi
- Department of Emergency Medicine, Yeouido St. Mary's Hospital, The Catholic University of Korea, College of Medicine, 10, 63-ro, Yeongdeungpo-gu, Seoul, 07345, Republic of Korea
| | - Jung Hee Wee
- Department of Emergency Medicine, Yeouido St. Mary's Hospital, The Catholic University of Korea, College of Medicine, 10, 63-ro, Yeongdeungpo-gu, Seoul, 07345, Republic of Korea.
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Sandroni C, D'Arrigo S, Nolan JP. Prognostication after cardiac arrest. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2018; 22:150. [PMID: 29871657 PMCID: PMC5989415 DOI: 10.1186/s13054-018-2060-7] [Citation(s) in RCA: 144] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Accepted: 05/10/2018] [Indexed: 01/17/2023]
Abstract
Hypoxic-ischaemic brain injury (HIBI) is the main cause of death in patients who are comatose after resuscitation from cardiac arrest. A poor neurological outcome-defined as death from neurological cause, persistent vegetative state, or severe neurological disability-can be predicted in these patients by assessing the severity of HIBI. The most commonly used indicators of severe HIBI include bilateral absence of corneal and pupillary reflexes, bilateral absence of N2O waves of short-latency somatosensory evoked potentials, high blood concentrations of neuron specific enolase, unfavourable patterns on electroencephalogram, and signs of diffuse HIBI on computed tomography or magnetic resonance imaging of the brain. Current guidelines recommend performing prognostication no earlier than 72 h after return of spontaneous circulation in all comatose patients with an absent or extensor motor response to pain, after having excluded confounders such as residual sedation that may interfere with clinical examination. A multimodal approach combining multiple prognostication tests is recommended so that the risk of a falsely pessimistic prediction is minimised.
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Affiliation(s)
- Claudio Sandroni
- Istituto Anestesiologia e Rianimazione Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario "Agostino Gemelli, Largo Francesco Vito 1, 00168, Rome, Italy.
| | - Sonia D'Arrigo
- Istituto Anestesiologia e Rianimazione Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario "Agostino Gemelli, Largo Francesco Vito 1, 00168, Rome, Italy
| | - Jerry P Nolan
- School of Clinical Science, University of Bristol, Bristol, UK.,Department of Anaesthesia and Intensive Care Medicine, Royal United Hospital, Bath, UK
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The validation of simplified EEG derived from the bispectral index monitor in post-cardiac arrest patients. Resuscitation 2018; 126:179-184. [DOI: 10.1016/j.resuscitation.2018.01.042] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2017] [Revised: 01/11/2018] [Accepted: 01/27/2018] [Indexed: 01/12/2023]
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