Brain injury markers in blood predict signs of hypoxic ischaemic encephalopathy on head computed tomography after cardiac arrest

Signs of hypoxic ischaemic encephalopathy (HIE) on head computed tomography (CT) predicts poor neurological outcome after cardiac arrest. We explore whether levels of brain injury markers in blood could predict the likelihood of HIE on CT. Retrospective analysis of CT performed at 24–168 h post card...

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Published inResuscitation Vol. 184; p. 109668
Main Authors Lagebrant, Alice, Lang, Margareta, Nielsen, Niklas, Blennow, Kaj, Dankiewicz, Josef, Friberg, Hans, Hassager, Christian, Horn, Janneke, Kjaergaard, Jesper, Kuiper, Mikael A., Mattsson-Carlgren, Niklas, Pellis, Tommaso, Rylander, Christian, Sigmund, Roger, Stammet, Pascal, Undén, Johan, Zetterberg, Henrik, Wise, Matt P., Cronberg, Tobias, Moseby-Knappe, Marion
Format Journal Article
LanguageEnglish
Published Ireland Elsevier B.V 01.03.2023
Subjects
Online AccessGet full text
ISSN0300-9572
1873-1570
1873-1570
DOI10.1016/j.resuscitation.2022.12.006

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Abstract Signs of hypoxic ischaemic encephalopathy (HIE) on head computed tomography (CT) predicts poor neurological outcome after cardiac arrest. We explore whether levels of brain injury markers in blood could predict the likelihood of HIE on CT. Retrospective analysis of CT performed at 24–168 h post cardiac arrest on clinical indication within the Target Temperature Management after out-of-hospital cardiac arrest-trial. Biomarkers prospectively collected at 24- and 48 h post-arrest were analysed for neuron specific enolase (NSE), neurofilament light (NFL), total-tau and glial fibrillary acidic protein (GFAP). HIE was assessed through visual evaluation and quantitative grey-white-matter ratio (GWR) was retrospectively calculated on Swedish subjects with original images available. In total, 95 patients were included. The performance to predict HIE on CT (performed at IQR 73–116 h) at 48 h was similar for all biomarkers, assessed as area under the receiving operating characteristic curve (AUC) NSE 0.82 (0.71–0.94), NFL 0.79 (0.67–0.91), total-tau 0.84 (0.74–0.95), GFAP 0.79 (0.67–0.90). The predictive performance of biomarker levels at 24 h was AUC 0.72–0.81. At 48 h biomarker levels below Youden Index accurately excluded HIE in 77.3–91.7% (negative predictive value) and levels above Youden Index correctly predicted HIE in 73.3–83.7% (positive predictive value). NSE cut-off at 48 h was 48 ng/ml. Elevated biomarker levels irrespective of timepoint significantly correlated with lower GWR. Biomarker levels can assess the likelihood of a patient presenting with HIE on CT and could be used to select suitable patients for CT-examination during neurological prognostication in unconscious cardiac arrest patients.
AbstractList Background/Aim: Signs of hypoxic ischaemic encephalopathy (HIE) on head computed tomography (CT) predicts poor neurological outcome after cardiac arrest. We explore whether levels of brain injury markers in blood could predict the likelihood of HIE on CT. Methods: Retrospective analysis of CT performed at 24–168 h post cardiac arrest on clinical indication within the Target Temperature Management after out-of-hospital cardiac arrest-trial. Biomarkers prospectively collected at 24- and 48 h post-arrest were analysed for neuron specific enolase (NSE), neurofilament light (NFL), total-tau and glial fibrillary acidic protein (GFAP). HIE was assessed through visual evaluation and quantitative grey-white-matter ratio (GWR) was retrospectively calculated on Swedish subjects with original images available. Results: In total, 95 patients were included. The performance to predict HIE on CT (performed at IQR 73–116 h) at 48 h was similar for all biomarkers, assessed as area under the receiving operating characteristic curve (AUC) NSE 0.82 (0.71–0.94), NFL 0.79 (0.67–0.91), total-tau 0.84 (0.74–0.95), GFAP 0.79 (0.67–0.90). The predictive performance of biomarker levels at 24 h was AUC 0.72–0.81. At 48 h biomarker levels below Youden Index accurately excluded HIE in 77.3–91.7% (negative predictive value) and levels above Youden Index correctly predicted HIE in 73.3–83.7% (positive predictive value). NSE cut-off at 48 h was 48 ng/ml. Elevated biomarker levels irrespective of timepoint significantly correlated with lower GWR. Conclusion: Biomarker levels can assess the likelihood of a patient presenting with HIE on CT and could be used to select suitable patients for CT-examination during neurological prognostication in unconscious cardiac arrest patients.
Signs of hypoxic ischaemic encephalopathy (HIE) on head computed tomography (CT) predicts poor neurological outcome after cardiac arrest. We explore whether levels of brain injury markers in blood could predict the likelihood of HIE on CT. Retrospective analysis of CT performed at 24–168 h post cardiac arrest on clinical indication within the Target Temperature Management after out-of-hospital cardiac arrest-trial. Biomarkers prospectively collected at 24- and 48 h post-arrest were analysed for neuron specific enolase (NSE), neurofilament light (NFL), total-tau and glial fibrillary acidic protein (GFAP). HIE was assessed through visual evaluation and quantitative grey-white-matter ratio (GWR) was retrospectively calculated on Swedish subjects with original images available. In total, 95 patients were included. The performance to predict HIE on CT (performed at IQR 73–116 h) at 48 h was similar for all biomarkers, assessed as area under the receiving operating characteristic curve (AUC) NSE 0.82 (0.71–0.94), NFL 0.79 (0.67–0.91), total-tau 0.84 (0.74–0.95), GFAP 0.79 (0.67–0.90). The predictive performance of biomarker levels at 24 h was AUC 0.72–0.81. At 48 h biomarker levels below Youden Index accurately excluded HIE in 77.3–91.7% (negative predictive value) and levels above Youden Index correctly predicted HIE in 73.3–83.7% (positive predictive value). NSE cut-off at 48 h was 48 ng/ml. Elevated biomarker levels irrespective of timepoint significantly correlated with lower GWR. Biomarker levels can assess the likelihood of a patient presenting with HIE on CT and could be used to select suitable patients for CT-examination during neurological prognostication in unconscious cardiac arrest patients.
Signs of hypoxic ischaemic encephalopathy (HIE) on head computed tomography (CT) predicts poor neurological outcome after cardiac arrest. We explore whether levels of brain injury markers in blood could predict the likelihood of HIE on CT.BACKGROUND/AIMSigns of hypoxic ischaemic encephalopathy (HIE) on head computed tomography (CT) predicts poor neurological outcome after cardiac arrest. We explore whether levels of brain injury markers in blood could predict the likelihood of HIE on CT.Retrospective analysis of CT performed at 24-168 h post cardiac arrest on clinical indication within the Target Temperature Management after out-of-hospital cardiac arrest-trial. Biomarkers prospectively collected at 24- and 48 h post-arrest were analysed for neuron specific enolase (NSE), neurofilament light (NFL), total-tau and glial fibrillary acidic protein (GFAP). HIE was assessed through visual evaluation and quantitative grey-white-matter ratio (GWR) was retrospectively calculated on Swedish subjects with original images available.METHODSRetrospective analysis of CT performed at 24-168 h post cardiac arrest on clinical indication within the Target Temperature Management after out-of-hospital cardiac arrest-trial. Biomarkers prospectively collected at 24- and 48 h post-arrest were analysed for neuron specific enolase (NSE), neurofilament light (NFL), total-tau and glial fibrillary acidic protein (GFAP). HIE was assessed through visual evaluation and quantitative grey-white-matter ratio (GWR) was retrospectively calculated on Swedish subjects with original images available.In total, 95 patients were included. The performance to predict HIE on CT (performed at IQR 73-116 h) at 48 h was similar for all biomarkers, assessed as area under the receiving operating characteristic curve (AUC) NSE 0.82 (0.71-0.94), NFL 0.79 (0.67-0.91), total-tau 0.84 (0.74-0.95), GFAP 0.79 (0.67-0.90). The predictive performance of biomarker levels at 24 h was AUC 0.72-0.81. At 48 h biomarker levels below Youden Index accurately excluded HIE in 77.3-91.7% (negative predictive value) and levels above Youden Index correctly predicted HIE in 73.3-83.7% (positive predictive value). NSE cut-off at 48 h was 48 ng/ml. Elevated biomarker levels irrespective of timepoint significantly correlated with lower GWR.RESULTSIn total, 95 patients were included. The performance to predict HIE on CT (performed at IQR 73-116 h) at 48 h was similar for all biomarkers, assessed as area under the receiving operating characteristic curve (AUC) NSE 0.82 (0.71-0.94), NFL 0.79 (0.67-0.91), total-tau 0.84 (0.74-0.95), GFAP 0.79 (0.67-0.90). The predictive performance of biomarker levels at 24 h was AUC 0.72-0.81. At 48 h biomarker levels below Youden Index accurately excluded HIE in 77.3-91.7% (negative predictive value) and levels above Youden Index correctly predicted HIE in 73.3-83.7% (positive predictive value). NSE cut-off at 48 h was 48 ng/ml. Elevated biomarker levels irrespective of timepoint significantly correlated with lower GWR.Biomarker levels can assess the likelihood of a patient presenting with HIE on CT and could be used to select suitable patients for CT-examination during neurological prognostication in unconscious cardiac arrest patients.CONCLUSIONBiomarker levels can assess the likelihood of a patient presenting with HIE on CT and could be used to select suitable patients for CT-examination during neurological prognostication in unconscious cardiac arrest patients.
/aim: Signs of hypoxic ischaemic encephalopathy (HIE) on head computed tomography (CT) predicts poor neurological outcome after cardiac arrest. We explore whether levels of brain injury markers in blood could predict the likelihood of HIE on CT.Retrospective analysis of CT performed at 24-168 hours post cardiac arrest on clinical indication within the Target Temperature Management after out-of-hospital cardiac arrest-trial. Biomarkers prospectively collected at 24- and 48 hours post-arrest were analysed for neuron specific enolase (NSE), neurofilament light (NFL), total-tau and glial fibrillary acidic protein (GFAP). HIE was assessed through visual evaluation and quantitative grey-white-matter ratio (GWR) was retrospectively calculated on Swedish subjects with original images available.In total, 95 patients were included. The performance to predict HIE on CT (performed at IQR 73-116 h) at 48 hours was similar for all biomarkers, assessed as area under the receiving operating characteristic curve (AUC) NSE 0.82 (0.71-0.94), NFL 0.79 (0.67-0.91), total-tau 0.84 (0.74-0.95), GFAP 0.79 (0.67-0.90). The predictive performance of biomarker levels at 24 hours was AUC 0.72-0.81. At 48 hours biomarker levels below Youden Index accurately excluded HIE in 77.3-91.7% (negative predictive value) and levels above Youden Index correctly predicted HIE in 73.3-83.7% (positive predictive value). NSE cut-off at 48 hours was 48 ng/ml. Elevated biomarker levels irrespective of timepoint significantly correlated with lower GWR.Biomarker levels can assess the likelihood of a patient presenting with HIE on CT and could be used to select suitable patients for CT-examination during neurological prognostication in unconscious cardiac arrest patients.
Background/Aim: Signs of hypoxic ischaemic encephalopathy (HIE) on head computed tomography (CT) predicts poor neurological outcome after cardiac arrest. We explore whether levels of brain injury markers in blood could predict the likelihood of HIE on CT. Methods: Retrospective analysis of CT performed at 24-168 h post cardiac arrest on clinical indication within the Target Temperature Management after out-of-hospital cardiac arrest-trial. Biomarkers prospectively collected at 24-and 48 h post-arrest were analysed for neuron specific enolase (NSE), neurofilament light (NFL), total-tau and glial fibrillary acidic protein (GFAP). HIE was assessed through visual evaluation and quantitative grey-white-matter ratio (GWR) was retrospectively calculated on Swedish subjects with original images available. Results: In total, 95 patients were included. The performance to predict HIE on CT (performed at IQR 73-116 h) at 48 h was similar for all biomark-ers, assessed as area under the receiving operating characteristic curve (AUC) NSE 0.82 (0.71-0.94), NFL 0.79 (0.67-0.91), total-tau 0.84 (0.74- 0.95), GFAP 0.79 (0.67-0.90). The predictive performance of biomarker levels at 24 h was AUC 0.72-0.81. At 48 h biomarker levels below Youden Index accurately excluded HIE in 77.3-91.7% (negative predictive value) and levels above Youden Index correctly predicted HIE in 73.3-83.7% (positive predictive value). NSE cut-off at 48 h was 48 ng/ml. Elevated biomarker levels irrespective of timepoint significantly correlated with lower GWR. Conclusion: Biomarker levels can assess the likelihood of a patient presenting with HIE on CT and could be used to select suitable patients for CT-examination during neurological prognostication in unconscious cardiac arrest patients.
ArticleNumber 109668
Author Cronberg, Tobias
Undén, Johan
Moseby-Knappe, Marion
Sigmund, Roger
Lagebrant, Alice
Dankiewicz, Josef
Zetterberg, Henrik
Mattsson-Carlgren, Niklas
Pellis, Tommaso
Hassager, Christian
Rylander, Christian
Kjaergaard, Jesper
Wise, Matt P.
Kuiper, Mikael A.
Horn, Janneke
Blennow, Kaj
Lang, Margareta
Friberg, Hans
Stammet, Pascal
Nielsen, Niklas
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https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-500010$$DView record from Swedish Publication Index
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Cites_doi 10.1016/j.resuscitation.2014.05.022
10.1007/s00134-020-06218-9
10.1056/NEJMoa1310519
10.1038/nbt.1641
10.1007/s00134-020-06198-w
10.1016/S0140-6736(74)91639-0
10.1016/j.resuscitation.2019.09.025
10.1016/j.resuscitation.2020.05.016
10.1007/s00134-021-06368-4
10.1001/jamaneurol.2018.3223
10.1016/j.resuscitation.2011.04.001
10.1016/j.ajem.2018.07.016
10.1001/jamaneurol.2021.5598
10.1016/j.resuscitation.2017.06.027
10.1016/j.jacc.2015.03.538
10.1016/S1474-4422(18)30231-X
10.1002/ana.25067
10.1016/j.resuscitation.2022.01.003
10.1016/j.resuscitation.2018.09.012
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Lunds universitets profilområden
Centrum för hjärtstopp
WCMM-Wallenberg Centre for Molecular Medicine
Anaesthesiology and Intensive Care Medicine
Kardiologi
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Cardiology
Neurologi, Lund
Institutionen för kliniska vetenskaper, Lund
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Kliniska Vetenskaper, Helsingborg
MultiPark: Multidisciplinary research focused on Parkinson's disease
Brain Injury After Cardiac Arrest
Lunds universitet
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Profile areas and other strong research environments
Department of Clinical Sciences, Malmö
Thoracic Surgery
Lund University
Lund University Profile areas
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Strategic research areas (SRA)
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Anestesiologi och intensivvård
SWECRIT
Profilområden och andra starka forskningsmiljöer
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References Sandroni, D'Arrigo, Cacciola (b0010) 2020; 46
Wihersaari, Ashton, Reinikainen (b0065) 2021; 47
Keijzer, Hoedemaekers, Meijer, Tonino, Klijn, Hofmeijer (b0015) 2018; 133
Quanterix. Scientific Principle of Simoa (Single Molecule Array) Technology [Internet].
Nolan, Sandroni, Böttiger (b0005) 2021; 47
Stammet, Collignon, Hassager (b0075) 2015; 65
Rissin, Kan, Campbell (b0085) 2010; 28
Hoiland, Rikhraj, Thiara (b0050) 2022
Teasdale, Jennett (b0105) 1974; 2
Ebner, Moseby-Knappe, Mattsson-Carlgren (b0060) 2020; 154
Hosmer, Lemeshow, Sturdivant (b0110) 2013
Moseby-Knappe, Pellis, Dragancea (b0035) 2017; 119
Metter, Rittenberger, Guyette, Callaway (b0100) 2011; 82
Oh, Choi, Wee, Park (b0020) 2019; 37
Cristia, Ho, Levy (b0030) 2014; 85
Bazarian, Biberthaler, Welch (b0055) 2018; 17
Streitberger, Endisch, Ploner (b0025) 2019; 145
Accessed 03-24-21.
Nielsen, Wetterslev, Cronberg (b0070) 2013; 369
.
Lang, Nielsen, Ullén (b0095) 2022
In, Lee, Park (b0115) 2022; 172
Moseby-Knappe, Mattsson, Nielsen (b0045) 2019; 76
Biomarkers B. Brain Trauma Indicator [Internet].
Mattsson, Zetterberg, Nielsen (b0040) 2017; 82
Stammet (10.1016/j.resuscitation.2022.12.006_b0075) 2015; 65
Hosmer (10.1016/j.resuscitation.2022.12.006_b0110) 2013
Nolan (10.1016/j.resuscitation.2022.12.006_b0005) 2021; 47
Moseby-Knappe (10.1016/j.resuscitation.2022.12.006_b0045) 2019; 76
Hoiland (10.1016/j.resuscitation.2022.12.006_b0050) 2022
Cristia (10.1016/j.resuscitation.2022.12.006_b0030) 2014; 85
Nielsen (10.1016/j.resuscitation.2022.12.006_b0070) 2013; 369
Oh (10.1016/j.resuscitation.2022.12.006_b0020) 2019; 37
Streitberger (10.1016/j.resuscitation.2022.12.006_b0025) 2019; 145
Bazarian (10.1016/j.resuscitation.2022.12.006_b0055) 2018; 17
10.1016/j.resuscitation.2022.12.006_b0080
10.1016/j.resuscitation.2022.12.006_b0090
Wihersaari (10.1016/j.resuscitation.2022.12.006_b0065) 2021; 47
Teasdale (10.1016/j.resuscitation.2022.12.006_b0105) 1974; 2
Moseby-Knappe (10.1016/j.resuscitation.2022.12.006_b0035) 2017; 119
Mattsson (10.1016/j.resuscitation.2022.12.006_b0040) 2017; 82
Rissin (10.1016/j.resuscitation.2022.12.006_b0085) 2010; 28
Keijzer (10.1016/j.resuscitation.2022.12.006_b0015) 2018; 133
In (10.1016/j.resuscitation.2022.12.006_b0115) 2022; 172
Ebner (10.1016/j.resuscitation.2022.12.006_b0060) 2020; 154
Lang (10.1016/j.resuscitation.2022.12.006_b0095) 2022
Sandroni (10.1016/j.resuscitation.2022.12.006_b0010) 2020; 46
Metter (10.1016/j.resuscitation.2022.12.006_b0100) 2011; 82
37116976 - Resuscitation. 2023 May;186:109784
36717053 - Resuscitation. 2023 Mar;184:109710
References_xml – volume: 85
  start-page: 1348
  year: 2014
  end-page: 1353
  ident: b0030
  article-title: The association between a quantitative computed tomography (CT) measurement of cerebral edema and outcomes in post-cardiac arrest-a validation study
  publication-title: Resuscitation
– volume: 47
  start-page: 39
  year: 2021
  end-page: 48
  ident: b0065
  article-title: Neurofilament light as an outcome predictor after cardiac arrest: a post hoc analysis of the COMACARE trial
  publication-title: Intensive Care Med
– volume: 145
  start-page: 8
  year: 2019
  end-page: 14
  ident: b0025
  article-title: Timing of brain computed tomography and accuracy of outcome prediction after cardiac arrest
  publication-title: Resuscitation
– volume: 17
  start-page: 782
  year: 2018
  end-page: 789
  ident: b0055
  article-title: Serum GFAP and UCH-L1 for prediction of absence of intracranial injuries on head CT (ALERT-TBI): a multicentre observational study
  publication-title: Lancet Neurol
– year: 2022
  ident: b0050
  article-title: Neurologic Prognostication After Cardiac Arrest Using Brain Biomarkers: A Systematic Review and Meta-analysis
  publication-title: JAMA Neurol
– reference: . Accessed 03-24-21.
– volume: 133
  start-page: 124
  year: 2018
  end-page: 136
  ident: b0015
  article-title: Brain imaging in comatose survivors of cardiac arrest: Pathophysiological correlates and prognostic properties
  publication-title: Resuscitation
– volume: 172
  start-page: 1
  year: 2022
  end-page: 8
  ident: b0115
  article-title: Delayed head CT in out-of-hospital cardiac arrest survivors: Does this improve predictive performance of neurological outcome?
  publication-title: Resuscitation
– volume: 76
  start-page: 64
  year: 2019
  end-page: 71
  ident: b0045
  article-title: Serum Neurofilament Light Chain for Prognosis of Outcome After Cardiac Arrest
  publication-title: JAMA Neurol
– volume: 82
  start-page: 665
  year: 2017
  end-page: 675
  ident: b0040
  article-title: Serum tau and neurological outcome in cardiac arrest
  publication-title: Ann Neurol
– start-page: 177
  year: 2013
  ident: b0110
  article-title: Applied Logistic Regression
– volume: 46
  start-page: 1803
  year: 2020
  end-page: 1851
  ident: b0010
  article-title: Prediction of poor neurological outcome in comatose survivors of cardiac arrest: a systematic review
  publication-title: Intensive Care Med
– volume: 369
  start-page: 2197
  year: 2013
  end-page: 2206
  ident: b0070
  article-title: Targeted temperature management at 33°C versus 36°C after cardiac arrest
  publication-title: N Engl J Med
– year: 2022
  ident: b0095
  article-title: A pilot study of methods for prediction of poor outcome by head computed tomography after cardiac arrest
  publication-title: Resuscitation
– volume: 119
  start-page: 89
  year: 2017
  end-page: 94
  ident: b0035
  article-title: Head computed tomography for prognostication of poor outcome in comatose patients after cardiac arrest and targeted temperature management
  publication-title: Resuscitation
– volume: 154
  start-page: 61
  year: 2020
  end-page: 68
  ident: b0060
  article-title: Serum GFAP and UCH-L1 for the prediction of neurological outcome in comatose cardiac arrest patients
  publication-title: Resuscitation
– volume: 47
  start-page: 369
  year: 2021
  end-page: 421
  ident: b0005
  article-title: European Resuscitation Council and European Society of Intensive Care Medicine guidelines 2021: post-resuscitation care
  publication-title: Intensive Care Med
– volume: 28
  start-page: 595
  year: 2010
  end-page: 599
  ident: b0085
  article-title: Single-molecule enzyme-linked immunosorbent assay detects serum proteins at subfemtomolar concentrations
  publication-title: Nat Biotechnol
– volume: 82
  start-page: 1180
  year: 2011
  end-page: 1185
  ident: b0100
  article-title: Association between a quantitative CT scan measure of brain edema and outcome after cardiac arrest
  publication-title: Resuscitation
– volume: 2
  start-page: 81
  year: 1974
  end-page: 84
  ident: b0105
  article-title: Assessment of coma and impaired consciousness. A practical scale
– reference: Biomarkers B. Brain Trauma Indicator [Internet].
– reference: .
– volume: 37
  start-page: 680
  year: 2019
  end-page: 684
  ident: b0020
  article-title: Inter-scanner variability in Hounsfield unit measured by CT of the brain and effect on gray-to-white matter ratio
  publication-title: Am J Emerg Med
– reference: Quanterix. Scientific Principle of Simoa (Single Molecule Array) Technology [Internet].
– volume: 65
  start-page: 2104
  year: 2015
  end-page: 2114
  ident: b0075
  article-title: Neuron-Specific Enolase as a Predictor of Death or Poor Neurological Outcome After Out-of-Hospital Cardiac Arrest and Targeted Temperature Management at 33°C and 36°C
  publication-title: J Am Coll Cardiol
– volume: 85
  start-page: 1348
  year: 2014
  ident: 10.1016/j.resuscitation.2022.12.006_b0030
  article-title: The association between a quantitative computed tomography (CT) measurement of cerebral edema and outcomes in post-cardiac arrest-a validation study
  publication-title: Resuscitation
  doi: 10.1016/j.resuscitation.2014.05.022
– volume: 47
  start-page: 39
  year: 2021
  ident: 10.1016/j.resuscitation.2022.12.006_b0065
  article-title: Neurofilament light as an outcome predictor after cardiac arrest: a post hoc analysis of the COMACARE trial
  publication-title: Intensive Care Med
  doi: 10.1007/s00134-020-06218-9
– volume: 369
  start-page: 2197
  year: 2013
  ident: 10.1016/j.resuscitation.2022.12.006_b0070
  article-title: Targeted temperature management at 33°C versus 36°C after cardiac arrest
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa1310519
– volume: 28
  start-page: 595
  year: 2010
  ident: 10.1016/j.resuscitation.2022.12.006_b0085
  article-title: Single-molecule enzyme-linked immunosorbent assay detects serum proteins at subfemtomolar concentrations
  publication-title: Nat Biotechnol
  doi: 10.1038/nbt.1641
– ident: 10.1016/j.resuscitation.2022.12.006_b0090
– volume: 46
  start-page: 1803
  year: 2020
  ident: 10.1016/j.resuscitation.2022.12.006_b0010
  article-title: Prediction of poor neurological outcome in comatose survivors of cardiac arrest: a systematic review
  publication-title: Intensive Care Med
  doi: 10.1007/s00134-020-06198-w
– volume: 2
  start-page: 81
  year: 1974
  ident: 10.1016/j.resuscitation.2022.12.006_b0105
  article-title: Assessment of coma and impaired consciousness. A practical scale
  publication-title: Lancet
  doi: 10.1016/S0140-6736(74)91639-0
– volume: 145
  start-page: 8
  year: 2019
  ident: 10.1016/j.resuscitation.2022.12.006_b0025
  article-title: Timing of brain computed tomography and accuracy of outcome prediction after cardiac arrest
  publication-title: Resuscitation
  doi: 10.1016/j.resuscitation.2019.09.025
– volume: 154
  start-page: 61
  year: 2020
  ident: 10.1016/j.resuscitation.2022.12.006_b0060
  article-title: Serum GFAP and UCH-L1 for the prediction of neurological outcome in comatose cardiac arrest patients
  publication-title: Resuscitation
  doi: 10.1016/j.resuscitation.2020.05.016
– volume: 47
  start-page: 369
  year: 2021
  ident: 10.1016/j.resuscitation.2022.12.006_b0005
  article-title: European Resuscitation Council and European Society of Intensive Care Medicine guidelines 2021: post-resuscitation care
  publication-title: Intensive Care Med
  doi: 10.1007/s00134-021-06368-4
– volume: 76
  start-page: 64
  year: 2019
  ident: 10.1016/j.resuscitation.2022.12.006_b0045
  article-title: Serum Neurofilament Light Chain for Prognosis of Outcome After Cardiac Arrest
  publication-title: JAMA Neurol
  doi: 10.1001/jamaneurol.2018.3223
– volume: 82
  start-page: 1180
  year: 2011
  ident: 10.1016/j.resuscitation.2022.12.006_b0100
  article-title: Association between a quantitative CT scan measure of brain edema and outcome after cardiac arrest
  publication-title: Resuscitation
  doi: 10.1016/j.resuscitation.2011.04.001
– ident: 10.1016/j.resuscitation.2022.12.006_b0080
– year: 2022
  ident: 10.1016/j.resuscitation.2022.12.006_b0095
  article-title: A pilot study of methods for prediction of poor outcome by head computed tomography after cardiac arrest
  publication-title: Resuscitation
– volume: 37
  start-page: 680
  year: 2019
  ident: 10.1016/j.resuscitation.2022.12.006_b0020
  article-title: Inter-scanner variability in Hounsfield unit measured by CT of the brain and effect on gray-to-white matter ratio
  publication-title: Am J Emerg Med
  doi: 10.1016/j.ajem.2018.07.016
– year: 2022
  ident: 10.1016/j.resuscitation.2022.12.006_b0050
  article-title: Neurologic Prognostication After Cardiac Arrest Using Brain Biomarkers: A Systematic Review and Meta-analysis
  publication-title: JAMA Neurol
  doi: 10.1001/jamaneurol.2021.5598
– volume: 119
  start-page: 89
  year: 2017
  ident: 10.1016/j.resuscitation.2022.12.006_b0035
  article-title: Head computed tomography for prognostication of poor outcome in comatose patients after cardiac arrest and targeted temperature management
  publication-title: Resuscitation
  doi: 10.1016/j.resuscitation.2017.06.027
– volume: 65
  start-page: 2104
  year: 2015
  ident: 10.1016/j.resuscitation.2022.12.006_b0075
  article-title: Neuron-Specific Enolase as a Predictor of Death or Poor Neurological Outcome After Out-of-Hospital Cardiac Arrest and Targeted Temperature Management at 33°C and 36°C
  publication-title: J Am Coll Cardiol
  doi: 10.1016/j.jacc.2015.03.538
– start-page: 177
  year: 2013
  ident: 10.1016/j.resuscitation.2022.12.006_b0110
– volume: 17
  start-page: 782
  year: 2018
  ident: 10.1016/j.resuscitation.2022.12.006_b0055
  article-title: Serum GFAP and UCH-L1 for prediction of absence of intracranial injuries on head CT (ALERT-TBI): a multicentre observational study
  publication-title: Lancet Neurol
  doi: 10.1016/S1474-4422(18)30231-X
– volume: 82
  start-page: 665
  year: 2017
  ident: 10.1016/j.resuscitation.2022.12.006_b0040
  article-title: Serum tau and neurological outcome in cardiac arrest
  publication-title: Ann Neurol
  doi: 10.1002/ana.25067
– volume: 172
  start-page: 1
  year: 2022
  ident: 10.1016/j.resuscitation.2022.12.006_b0115
  article-title: Delayed head CT in out-of-hospital cardiac arrest survivors: Does this improve predictive performance of neurological outcome?
  publication-title: Resuscitation
  doi: 10.1016/j.resuscitation.2022.01.003
– volume: 133
  start-page: 124
  year: 2018
  ident: 10.1016/j.resuscitation.2022.12.006_b0015
  article-title: Brain imaging in comatose survivors of cardiac arrest: Pathophysiological correlates and prognostic properties
  publication-title: Resuscitation
  doi: 10.1016/j.resuscitation.2018.09.012
– reference: 37116976 - Resuscitation. 2023 May;186:109784
– reference: 36717053 - Resuscitation. 2023 Mar;184:109710
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Snippet Signs of hypoxic ischaemic encephalopathy (HIE) on head computed tomography (CT) predicts poor neurological outcome after cardiac arrest. We explore whether...
Background/Aim: Signs of hypoxic ischaemic encephalopathy (HIE) on head computed tomography (CT) predicts poor neurological outcome after cardiac arrest. We...
/aim: Signs of hypoxic ischaemic encephalopathy (HIE) on head computed tomography (CT) predicts poor neurological outcome after cardiac arrest. We explore...
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SubjectTerms Anestesi och intensivvård
Anesthesiology and Intensive Care
Biomarkers
Brain Injuries
Clinical Medicine
Humans
Hypoxia-Ischemia, Brain - diagnosis
Hypoxia-Ischemia, Brain - diagnostic imaging
Klinisk medicin
Medical and Health Sciences
Medicin och hälsovetenskap
Neurosciences
Neurovetenskaper
Out-of-Hospital Cardiac Arrest - etiology
Out-of-Hospital Cardiac Arrest - therapy
Phosphopyruvate Hydratase
Prognosis
Retrospective Studies
Tomography, X-Ray Computed - methods
Title Brain injury markers in blood predict signs of hypoxic ischaemic encephalopathy on head computed tomography after cardiac arrest
URI https://www.clinicalkey.com/#!/content/1-s2.0-S0300957222007407
https://dx.doi.org/10.1016/j.resuscitation.2022.12.006
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https://gup.ub.gu.se/publication/322182
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