Literature DB >> 18309166

Validation of a prognostic subarachnoid hemorrhage grading scale derived directly from the Glasgow Coma Scale.

Annemarie W van Heuven, Sanne M Dorhout Mees, Ale Algra, Gabriel J E Rinkel.   

Abstract

BACKGROUND AND
PURPOSE: A new Glasgow Coma Scale-based scale has been developed to predict patient outcome in subarachnoid hemorrhage by calculating cut-off points by which 2 consecutive categories corresponded to a statistically significant different outcome. We assessed the external validity of this Prognosis on Admission of Aneurysmal Subarachnoid Hemorrhage (PAASH) scale and compared it to the commonly used World Federation of Neurological Surgeons scale.
METHODS: From our database of subarachnoid hemorrhage patients we retrieved data on all patients admitted between November 2000 and March 2006. By means of logistic regression, we calculated OR with corresponding 95% CI for poor outcome at 3 months for each category in comparison with the lowest category of both scales. Areas under the curve of the corresponding receiver operator characteristic curve were calculated.
RESULTS: We included 537 patients. For the PAASH scale, OR ranged from 3.9 (95% CI, 2.4 to 6.2) to 84 (95% CI, 25 to 287) and increased more evenly than for the World Federation of Neurological Surgeons (WFNS) scale, with OR ranging from 2.3 (95% CI, 1.3 to 4.1) to 69 (95% CI, 31 to 157). Areas under the curve were 0.81 (95% CI, 0.77 to 0.84) for the PAASH and 0.82 (95% CI, 0.79 to 0.86) for the WFNS scale.
CONCLUSIONS: Both PAASH and WFNS scales have a good discriminatory ability for patient prognosis. Because the OR of the PAASH increase more gradually, it is slightly preferable to the WFNS scale.

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Year:  2008        PMID: 18309166     DOI: 10.1161/STROKEAHA.107.498345

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  16 in total

1.  Can the World Federation of Neurosurgical Societies Classification Accurately Predict Outcomes in Intracerebral Hemorrhage?

Authors:  Réza Behrouz; Asma Zakaria
Journal:  J Vasc Interv Neurol       Date:  2015-05

2.  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

3.  Predicting fatigue 1 year after aneurysmal subarachnoid hemorrhage.

Authors:  P E C A Passier; M W M Post; M J E van Zandvoort; G J E Rinkel; E Lindeman; J M A Visser-Meily
Journal:  J Neurol       Date:  2011-01-05       Impact factor: 4.849

4.  Withdrawal of technological life support following subarachnoid hemorrhage.

Authors:  Robert G Kowalski; Tiffany R Chang; J Ricardo Carhuapoma; Rafael J Tamargo; Neeraj S Naval
Journal:  Neurocrit Care       Date:  2013-12       Impact factor: 3.210

5.  Preventable poor outcome from rebleeding by emergency aneurysm occlusion in patients with aneurysmal subarachnoid haemorrhage.

Authors:  Reinier Wp Tack; Mervyn DI Vergouwen; Irene van der Schaaf; Albert van der Zwan; Gabriel Je Rinkel; Antti E Lindgren
Journal:  Eur Stroke J       Date:  2019-02-01

6.  Chance of aneurysm in patients suspected of SAH who have a 'negative' CT scan but a 'positive' lumbar puncture.

Authors:  P Horstman; F H H Linn; H A M Voorbij; G J E Rinkel
Journal:  J Neurol       Date:  2011-09-08       Impact factor: 4.849

7.  Modified world federation of neurosurgical societies subarachnoid hemorrhage grading system.

Authors:  Hirotoshi Sano; Joji Inamasu; Yoko Kato; Akira Satoh; Yuichi Murayama
Journal:  Surg Neurol Int       Date:  2016-08-01

8.  Long-chain omega-3 fatty acids in aneurysmal subarachnoid hemorrhage: A randomized pilot trial of pharmaconutrition.

Authors:  Geisi Saito; Rodrigo Zapata; Rodrigo Rivera; Héctor Zambrano; David Rojas; Hernán Acevedo; Franco Ravera; John Mosquera; Juan E Vásquez; Jorge Mura
Journal:  Surg Neurol Int       Date:  2017-12-27

9.  Characteristics of Patients With Aneurysmal Subarachnoid Hemorrhage and Risk Factors Related to Dysphagia.

Authors:  Seung Hwa Rhie; Ji Won Choi; Se Jeong Jeon; Sung Don Kang; Min Cheol Joo; Min Su Kim
Journal:  Ann Rehabil Med       Date:  2016-12-30

Review 10.  Aneurysmal Subarachnoid Hemorrhage: the Last Decade.

Authors:  Sean N Neifert; Emily K Chapman; Michael L Martini; William H Shuman; Alexander J Schupper; Eric K Oermann; J Mocco; R Loch Macdonald
Journal:  Transl Stroke Res       Date:  2020-10-19       Impact factor: 6.829

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