Literature DB >> 16159052

Subarachnoid hemorrhage grading scales: a systematic review.

David S Rosen1, R Loch Macdonald.   

Abstract

Numerous systems are reported for grading the clinical condition of patients following subarachnoid hemorrhage (SAH). The literature was reviewed for articles pertaining to the grading of such patients, including publications on the Hunt and Hess Scale, Fisher Scale, Glasgow Coma Score (GCS), and World Federation of Neurological Surgeons Scale. This article reviews the advantages and limitations of these scales as well as more recent proposals for other grading systems based on these scales with or without addition of other factors known to be prognostic for outcome after SAH. There remain substantial deficits in the literature regarding grading of patients with SAH. Most grading scales were derived retrospectively, and the intra- and interobserver variability has seldom been assessed. Inclusion of additional factors increases the complexity of the scale, possibly making it less likely to be adopted for routine usage and increasing (only marginally in some cases) the ability to predict prognosis. Until further data are available, it is recommended that publications on patients with SAH report at least the admission GCS as well as factors commonly known to influence prognosis, such as age, pre-existing hypertension, the amount of blood present on admission computed tomography, time of admission after SAH, aneurysm location and size, presence of intracerebral or intraventricular hemorrhage, and blood pressure at admission.

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Year:  2005        PMID: 16159052     DOI: 10.1385/NCC:2:2:110

Source DB:  PubMed          Journal:  Neurocrit Care        ISSN: 1541-6933            Impact factor:   3.210


  50 in total

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Journal:  Lancet       Date:  1991-03-02       Impact factor: 79.321

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Journal:  J Neurosurg       Date:  1968-01       Impact factor: 5.115

4.  How should a subarachnoid hemorrhage grading scale be determined? A combinatorial approach based solely on the Glasgow Coma Scale.

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Journal:  J Neurosurg       Date:  1999-04       Impact factor: 5.115

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Journal:  Stroke       Date:  1990-08       Impact factor: 7.914

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Journal:  Acta Neurochir (Wien)       Date:  2001       Impact factor: 2.216

Review 7.  Multivariate analysis and prediction of outcome following penetrating head injury.

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Journal:  Neurosurg Clin N Am       Date:  1995-10       Impact factor: 2.509

8.  Effect of acute physiologic derangements on outcome after subarachnoid hemorrhage.

Authors:  Jan Claassen; An Vu; Kurt T Kreiter; Robert G Kowalski; Evelyn Y Du; Noeleen Ostapkovich; Brian-Fred M Fitzsimmons; E Sander Connolly; Stephan A Mayer
Journal:  Crit Care Med       Date:  2004-03       Impact factor: 7.598

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Journal:  J Neurosurg       Date:  1983-01       Impact factor: 5.115

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Journal:  Acta Neurochir (Wien)       Date:  1982       Impact factor: 2.216

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  67 in total

Review 1.  Evaluation of coma: a critical appraisal of popular scoring systems.

Authors:  Joshua Kornbluth; Anish Bhardwaj
Journal:  Neurocrit Care       Date:  2011-02       Impact factor: 3.210

2.  Standards of scoring, monitoring, and parameter targeting in German neurocritical care units: a national survey.

Authors:  C M Kowoll; C Dohmen; J Kahmann; R Dziewas; I Schirotzek; O W Sakowitz; J Bösel
Journal:  Neurocrit Care       Date:  2014-04       Impact factor: 3.210

3.  In-hospital mortality and poor outcome after surgical clipping and endovascular coiling for aneurysmal subarachnoid hemorrhage using nationwide databases: a systematic review and meta-analysis.

Authors:  Fusao Ikawa; Nobuaki Michihata; Toshinori Matsushige; Masaru Abiko; Daizo Ishii; Jumpei Oshita; Takahito Okazaki; Shigeyuki Sakamoto; Ryota Kurogi; Koji Iihara; Kunihiro Nishimura; Akio Morita; Kiyohide Fushimi; Hideo Yasunaga; Kaoru Kurisu
Journal:  Neurosurg Rev       Date:  2019-04-02       Impact factor: 3.042

4.  Elevated IL-6 and TNF-α Levels in Cerebrospinal Fluid of Subarachnoid Hemorrhage Patients.

Authors:  Wei Wu; Yi Guan; Gang Zhao; Xi-Jia Fu; Tie-Zhu Guo; Yue-Ting Liu; Xin-Liang Ren; Wei Wang; Han-Rui Liu; Yun-Qian Li
Journal:  Mol Neurobiol       Date:  2015-06-11       Impact factor: 5.590

Review 5.  Intracranial hemorrhage.

Authors:  J Alfredo Caceres; Joshua N Goldstein
Journal:  Emerg Med Clin North Am       Date:  2012-08       Impact factor: 2.264

6.  Factors associated with clinical and radiological status on admission in patients with aneurysmal subarachnoid hemorrhage.

Authors:  Daniel W Zumofen; Michel Roethlisberger; Rita Achermann; Schatlo Bawarjan; Martin N Stienen; Christian Fung; Donato D'Alonzo; Nicolai Maldaner; Andrea Ferrari; Marco V Corniola; Daniel Schoeni; Johannes Goldberg; Daniele Valsecchi; Thomas Robert; Rodolfo Maduri; Martin Seule; Jan-Karl Burkhardt; Serge Marbacher; Philippe Bijlenga; Kristine A Blackham; Heiner C Bucher; Luigi Mariani; Raphael Guzman
Journal:  Neurosurg Rev       Date:  2018-02-10       Impact factor: 3.042

7.  Prediction of outcome after aneurysmal subarachnoid haemorrhage using data from patient admission.

Authors:  Christian Rubbert; Kaustubh R Patil; Kerim Beseoglu; Christian Mathys; Rebecca May; Marius G Kaschner; Benjamin Sigl; Nikolas A Teichert; Johannes Boos; Bernd Turowski; Julian Caspers
Journal:  Eur Radiol       Date:  2018-06-12       Impact factor: 5.315

Review 8.  Aneurysmal Subarachnoid Hemorrhage.

Authors:  Athanasios K Petridis; Marcel A Kamp; Jan F Cornelius; Thomas Beez; Kerim Beseoglu; Bernd Turowski; Hans-Jakob Steiger
Journal:  Dtsch Arztebl Int       Date:  2017-03-31       Impact factor: 5.594

9.  A Systematic Review of Cognitive Outcomes in Angiographically Negative Subarachnoid Haemorrhage.

Authors:  Tom Burke; Stephanie Hughes; Alan Carr; Mohsen Javadpour; Niall Pender
Journal:  Neuropsychol Rev       Date:  2018-10-23       Impact factor: 7.444

Review 10.  Update on subarachnoid haemorrhage.

Authors:  José M Ferro; P Canhão; R Peralta
Journal:  J Neurol       Date:  2008-03-25       Impact factor: 4.849

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