Literature DB >> 16998645

Interobserver agreement and predictive value for outcome of two rating scales for the amount of extravasated blood after aneurysmal subarachnoid haemorrhage.

Anouk G W van Norden1, Gert W van Dijk, Marc D van Huizen, Ale Algra, Gabriël J E Rinkel.   

Abstract

BACKGROUND: In patients with SAH the amount of extravasated blood on the initial CT scan is related with delayed cerebral ischemia and clinical outcome. We investigated the interobserver variation of the Hijdra and Fisher scales for the amount of extravasated blood and the predictive values of these scales for delayed cerebral ischemia and outcome.
METHODS: For 132 patients admitted within 48 hours after SAH three observers assessed the amount of blood on the initial CT scan by means of the Hijdra and Fisher scale. We analyzed interobserver agreement with kappa statistics and used multivariate logistic regression for the association with delayed cerebral ischemia and clinical outcome.
RESULTS: The interobserver agreement of all three pairs of observers was good for the Hijdra scale (kappas for total sum scores ranging from 0.67 to 0.75) and mild to moderate for the Fisher scale (kappas ranging from 0.37 to 0.55). For the Hijdra scale the risk of DCI was higher for intermediate (OR 4.2; 95% CI 1.1-16.3) and large (OR 3.6; 95% CI 0.8-16.4) amounts of blood with small amount as reference. Fisher grade III (OR 1.0; 95% CI 0.2-5.2) and IV (OR 0.3; 95% CI 0.02-4.0) were not related with DCI. For the Hijdra scale and clinical outcome we found an increasing risk for poor outcome with intermediate (OR 3.9; 95% CI 1.0-15.9) and large (OR 10.7; 95% CI 2.3-50.1) amounts of blood. Such a relation was not found for Fisher grade III (OR 1.2; 95% CI 0.2-7.0) and IV (OR 0.2; 95% CI 0.01-3.4).
CONCLUSIONS: For the Hijdra scale we found a distinct better interobserver agreement than for the Fisher score. Moreover, the Hijdra scale was an independent prognosticator for DCI and clinical outcome, which was not the case for the Fisher score.

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Year:  2006        PMID: 16998645     DOI: 10.1007/s00415-006-0205-0

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  12 in total

1.  Interobserver variability of cisternal blood on CT after aneurysmal subarachnoid hemorrhage.

Authors:  M van der Jagt; D Hasan; H W Bijvoet; H Pieterman; P J Koudstaal; C J Avezaat
Journal:  Neurology       Date:  2000-06-13       Impact factor: 9.910

2.  Early identification of patients at risk for symptomatic vasospasm after aneurysmal subarachnoid hemorrhage.

Authors:  A I Qureshi; G Y Sung; A Y Razumovsky; K Lane; R N Straw; J A Ulatowski
Journal:  Crit Care Med       Date:  2000-04       Impact factor: 7.598

3.  Report of World Federation of Neurological Surgeons Committee on a Universal Subarachnoid Hemorrhage Grading Scale.

Authors: 
Journal:  J Neurosurg       Date:  1988-06       Impact factor: 5.115

4.  The measurement of observer agreement for categorical data.

Authors:  J R Landis; G G Koch
Journal:  Biometrics       Date:  1977-03       Impact factor: 2.571

5.  Assessment of outcome after severe brain damage.

Authors:  B Jennett; M Bond
Journal:  Lancet       Date:  1975-03-01       Impact factor: 79.321

6.  Grading the amount of blood on computed tomograms after subarachnoid hemorrhage.

Authors:  A Hijdra; P J Brouwers; M Vermeulen; J van Gijn
Journal:  Stroke       Date:  1990-08       Impact factor: 7.914

7.  Effect of cisternal and ventricular blood on risk of delayed cerebral ischemia after subarachnoid hemorrhage: the Fisher scale revisited.

Authors:  J Claassen; G L Bernardini; K Kreiter; J Bates; Y E Du; D Copeland; E S Connolly; S A Mayer
Journal:  Stroke       Date:  2001-09       Impact factor: 7.914

8.  Nonaneurysmal perimesencephalic subarachnoid hemorrhage: CT and MR patterns that differ from aneurysmal rupture.

Authors:  G J Rinkel; E F Wijdicks; M Vermeulen; L M Ramos; H L Tanghe; D Hasan; L C Meiners; J van Gijn
Journal:  AJNR Am J Neuroradiol       Date:  1991 Sep-Oct       Impact factor: 3.825

9.  Prediction of delayed cerebral ischemia, rebleeding, and outcome after aneurysmal subarachnoid hemorrhage.

Authors:  A Hijdra; J van Gijn; N J Nagelkerke; M Vermeulen; H van Crevel
Journal:  Stroke       Date:  1988-10       Impact factor: 7.914

10.  Relation of cerebral vasospasm to subarachnoid hemorrhage visualized by computerized tomographic scanning.

Authors:  C M Fisher; J P Kistler; J M Davis
Journal:  Neurosurgery       Date:  1980-01       Impact factor: 4.654

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  9 in total

1.  Achieved serum magnesium concentrations and occurrence of delayed cerebral ischaemia and poor outcome in aneurysmal subarachnoid haemorrhage.

Authors:  Sanne M Dorhout Mees; Walter M van den Bergh; Ale Algra; Gabriel J E Rinkel
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-11-29       Impact factor: 10.154

2.  Prediction of angiographic vasospasm after aneurysmal subarachnoid hemorrhage: value of the Hijdra sum scoring system.

Authors:  Stefan A Dupont; Eelco F M Wijdicks; Edward M Manno; Giuseppe Lanzino; Alejandro A Rabinstein
Journal:  Neurocrit Care       Date:  2009-07-30       Impact factor: 3.210

3.  The Hijdra scale has significant prognostic value for the functional outcome of Fisher grade 3 patients with subarachnoid hemorrhage.

Authors:  Julia S Bretz; Falk Von Dincklage; Johannes Woitzik; Maren K L Winkler; Sebastian Major; Jens P Dreier; Georg Bohner; Michael Scheel
Journal:  Clin Neuroradiol       Date:  2016-04-25       Impact factor: 3.649

4.  Subarachnoid blood acutely induces spreading depolarizations and early cortical infarction.

Authors:  Jed A Hartings; Jonathan York; Christopher P Carroll; Jason M Hinzman; Eric Mahoney; Bryan Krueger; Maren K L Winkler; Sebastian Major; Viktor Horst; Paul Jahnke; Johannes Woitzik; Vasilis Kola; Yifeng Du; Matthew Hagen; Jianxiong Jiang; Jens P Dreier
Journal:  Brain       Date:  2017-10-01       Impact factor: 13.501

5.  Inter-observer variability in diagnosing radiological features of aneurysmal subarachnoid hemorrhage; a preliminary single centre study comparing observers from different specialties and levels of training.

Authors:  Usman T Siddiqui; Anjum F Khan; Muhammad Shahzad Shamim; Rana Shoaib Hamid; Muhammad Mehboob Alam; Muhammad Emaduddin
Journal:  Surg Neurol Int       Date:  2014-06-17

6.  A Quantitative Subarachnoid Hemorrhage Grading System, Including Supratentorial and Infratentorial Cisterns, With Multiplanar Computed Tomography Reformations.

Authors:  Einat Slonimsky; Tao Ouyang; Kent Upham; Sarah Pepley; Tonya King; Marco Fiorelli; Krishnamoorthy Thamburaj
Journal:  Cureus       Date:  2022-07-19

Review 7.  When the Blood Hits Your Brain: The Neurotoxicity of Extravasated Blood.

Authors:  Jesse A Stokum; Gregory J Cannarsa; Aaron P Wessell; Phelan Shea; Nicole Wenger; J Marc Simard
Journal:  Int J Mol Sci       Date:  2021-05-12       Impact factor: 5.923

Review 8.  Current controversies in the prediction, diagnosis, and management of cerebral vasospasm: where do we stand?

Authors:  Young Lee; Scott L Zuckerman; J Mocco
Journal:  Neurol Res Int       Date:  2013-10-08

Review 9.  Lessons from the CONSCIOUS-1 Study.

Authors:  Alexander J Schupper; Matthew E Eagles; Sean N Neifert; J Mocco; R Loch Macdonald
Journal:  J Clin Med       Date:  2020-09-14       Impact factor: 4.241

  9 in total

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