CRP (C-Reactive Protein) in Outcome Prediction After Subarachnoid Hemorrhage and the Role of Machine Learning.

Journal: Stroke
PMID: 34238015

Abstract

BACKGROUND AND PURPOSE: Outcome prediction after aneurysmal subarachnoid hemorrhage (aSAH) is challenging. CRP (C-reactive protein) has been reported to be associated with outcome, but it is unclear if this is independent of other predictors and applies to aSAH of all grades. Therefore, the role of CRP in aSAH outcome prediction models is unknown. The purpose of this study is to assess if CRP is an independent predictor of outcome after aSAH, develop new prognostic models incorporating CRP, and test whether these can be improved by application of machine learning.

Authors

  • Ben Gaastra
    Department of Neurosurgery, Wessex Neurological Centre, University Hospital Southampton, United Kingdom (B.G., D.B.).
  • Peter Barron
    University of Southampton Faculty of Medicine, United Kingdom (P.B., L.N., S.C.).
  • Laura Newitt
    University of Southampton Faculty of Medicine, United Kingdom (P.B., L.N., S.C.).
  • Simran Chhugani
    University of Southampton Faculty of Medicine, United Kingdom (P.B., L.N., S.C.).
  • Carole Turner
    Department of Neurosurgery, Cambridge University Hospital, United Kingdom (C.T., P.K.).
  • Peter Kirkpatrick
    Department of Neurosurgery, Cambridge University Hospital, United Kingdom (C.T., P.K.).
  • Ben MacArthur
    Mathematical Sciences, University of Southampton, United Kingdom (B.M.).
  • Ian Galea
    Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, United Kingdom (I.G.).
  • Diederik Bulters
    Wessex Neurological Centre, University Hospital Southampton, Tremona Road, Southampton SO16 6YD, UK. dbulters@nhs.net.

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