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Admission Levels of Interleukin 10 and Amyloid ß 1-40 Improve the Outcome Prediction Performance of the Helsinki Computed Tomography Score in Traumatic Brain Injury.
Posti, Jussi P; Takala, Riikka S K; Raj, Rahul; Luoto, Teemu M; Azurmendi, Leire; Lagerstedt, Linnéa; Mohammadian, Mehrbod; Hossain, Iftakher; Gill, Jessica; Frantzén, Janek; van Gils, Mark; Hutchinson, Peter J; Katila, Ari J; Koivikko, Pia; Maanpää, Henna-Riikka; Menon, David K; Newcombe, Virginia F; Tallus, Jussi; Blennow, Kaj; Tenovuo, Olli; Zetterberg, Henrik; Sanchez, Jean-Charles.
Afiliação
  • Posti JP; Clinical Neurosciences, Department of Neurosurgery, Turku Brain Injury Centre, Turku University Hospital, University of Turku, Turku, Finland.
  • Takala RSK; Perioperative Services, Intensive Care Medicine and Pain Management, Department of Anesthesiology and Intensive Care, Turku University Hospital, University of Turku, Turku, Finland.
  • Raj R; Department of Neurosurgery, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.
  • Luoto TM; Department of Neurosurgery, Tampere University Hospital, Tampere University, Tampere, Finland.
  • Azurmendi L; Department of Specialities of Internal Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
  • Lagerstedt L; Department of Specialities of Internal Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
  • Mohammadian M; Turku Brain Injury Centre, Turku University Hospital, University of Turku, Turku, Finland.
  • Hossain I; Turku Brain Injury Centre, Turku University Hospital, University of Turku, Turku, Finland.
  • Gill J; Neurosurgery Unit, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.
  • Frantzén J; National Institute of Nursing Research, National Institutes of Health, Bethesda, MD, United States.
  • van Gils M; Clinical Neurosciences, Department of Neurosurgery, Turku Brain Injury Centre, Turku University Hospital, University of Turku, Turku, Finland.
  • Hutchinson PJ; VTT Technical Research Centre of Finland Ltd., Tampere, Finland.
  • Katila AJ; Neurosurgery Unit, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.
  • Koivikko P; Perioperative Services, Intensive Care Medicine and Pain Management, Department of Anesthesiology and Intensive Care, Turku University Hospital, University of Turku, Turku, Finland.
  • Maanpää HR; Perioperative Services, Intensive Care Medicine and Pain Management, Department of Anesthesiology and Intensive Care, Turku University Hospital, University of Turku, Turku, Finland.
  • Menon DK; Clinical Neurosciences, Department of Neurosurgery, Turku Brain Injury Centre, Turku University Hospital, University of Turku, Turku, Finland.
  • Newcombe VF; Division of Anaesthesia, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.
  • Tallus J; Division of Anaesthesia, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.
  • Blennow K; Turku Brain Injury Centre, Turku University Hospital, University of Turku, Turku, Finland.
  • Tenovuo O; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Zetterberg H; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden.
  • Sanchez JC; Turku Brain Injury Centre, Turku University Hospital, University of Turku, Turku, Finland.
Front Neurol ; 11: 549527, 2020.
Article em En | MEDLINE | ID: mdl-33192979
ABSTRACT

Background:

Blood biomarkers may enhance outcome prediction performance of head computed tomography scores in traumatic brain injury (TBI).

Objective:

To investigate whether admission levels of eight different protein biomarkers can improve the outcome prediction performance of the Helsinki computed tomography score (HCTS) without clinical covariates in TBI. Materials and

methods:

Eighty-two patients with computed tomography positive TBIs were included in this study. Plasma levels of ß-amyloid isoforms 1-40 (Aß40) and 1-42 (Aß42), glial fibrillary acidic protein, heart fatty acid-binding protein, interleukin 10 (IL-10), neurofilament light, S100 calcium-binding protein B, and total tau were measured within 24 h from admission. The patients were divided into favorable (Glasgow Outcome Scale-Extended 5-8, n = 49) and unfavorable (Glasgow Outcome Scale-Extended 1-4, n = 33) groups. The outcome was assessed 6-12 months after injury. An optimal predictive panel was investigated with the sensitivity set at 90-100%.

Results:

The HCTS alone yielded a sensitivity of 97.0% (95% CI 90.9-100) and specificity of 22.4% (95% CI 10.2-32.7) and partial area under the curve of the receiver operating characteristic of 2.5% (95% CI 1.1-4.7), in discriminating patients with favorable and unfavorable outcomes. The threshold to detect a patient with unfavorable outcome was an HCTS > 1. The three best individually performing biomarkers in outcome prediction were Aß40, Aß42, and neurofilament light. The optimal panel included IL-10, Aß40, and the HCTS reaching a partial area under the curve of the receiver operating characteristic of 3.4% (95% CI 1.7-6.2) with a sensitivity of 90.9% (95% CI 81.8-100) and specificity of 59.2% (95% CI 40.8-69.4).

Conclusion:

Admission plasma levels of IL-10 and Aß40 significantly improve the prognostication ability of the HCTS after TBI.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article