Literature DB >> 29428981

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

Daniel W Zumofen1,2, Michel Roethlisberger3, Rita Achermann4, Schatlo Bawarjan5, Martin N Stienen6, Christian Fung7, Donato D'Alonzo8, Nicolai Maldaner6, Andrea Ferrari9, Marco V Corniola10, Daniel Schoeni7, Johannes Goldberg7, Daniele Valsecchi11, Thomas Robert11, Rodolfo Maduri12, Martin Seule9, Jan-Karl Burkhardt13, Serge Marbacher8, Philippe Bijlenga10, Kristine A Blackham14, Heiner C Bucher4, Luigi Mariani3, Raphael Guzman3.   

Abstract

Grading scales yield objective measure of the severity of aneurysmal subarachnoid hemorrhage and serve as to guide treatment decisions and for prognostication. The purpose of this cohort study was to determine what factors govern a patient's disease-specific admission scores in a representative Central European cohort. The Swiss Study of Subarachnoid Hemorrhage includes anonymized data from all tertiary referral centers serving subarachnoid hemorrhage patients in Switzerland. The 2009-2014 dataset was used to evaluate the impact of patient and aneurysm characteristics on the patients' status at admission using descriptive and multivariate regression analysis. The primary/co-primary endpoints were the GCS and the WFNS grade. The secondary endpoints were the Fisher grade, the presence of a thick cisternal or ventricular clot, the presence of a new focal neurological deficit or cranial nerve palsy, and the patient's intubation status. In our cohort of 1787 consecutive patients, increasing patient age by 10 years and low pre-ictal functional status (mRS 3-5) were inversely correlated with "high" GCS score (GCS ≥ 13) (OR 0.91, 95% CI 0.84-0.97 and OR 0.67, 95% CI 0.31-1.46), "low" WFNS grade (grade VI-V) (OR 1.21, 95% CI 1.04-1.20 and OR 1.47, 95% CI 0.66-3.27), and high Fisher grade (grade III-IV) (OR 1.08, 95% CI 1.00-1.17 and OR 1.54, 95% CI 0.55-4.32). Other independent predictors for the patients' clinical and radiological condition at admission were the ruptured aneurysms' location and its size. In sum, chronological age and pre-ictal functional status, as well as the ruptured aneurysm's location and size, determine the patients' clinical and radiological condition at admission to the tertiary referral hospital.

Entities:  

Keywords:  Age; Aneurysm; Clinical presentation; Radiological presentation; Subarachnoid hemorrhage

Mesh:

Year:  2018        PMID: 29428981     DOI: 10.1007/s10143-018-0952-2

Source DB:  PubMed          Journal:  Neurosurg Rev        ISSN: 0344-5607            Impact factor:   3.042


  58 in total

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Journal:  Age Ageing       Date:  1996-09       Impact factor: 10.668

2.  Prognostic factors on hospital admission after spontaneous subarachnoid haemorrhage.

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

3.  Predicting Outcome in Subarachnoid Hemorrhage (SAH) Utilizing the Full Outline of UnResponsiveness (FOUR) Score.

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Journal:  Neurocrit Care       Date:  2017-12       Impact factor: 3.210

4.  The United Kingdom transient ischaemic attack (UK-TIA) aspirin trial: final results.

Authors:  B Farrell; J Godwin; S Richards; C Warlow
Journal:  J Neurol Neurosurg Psychiatry       Date:  1991-12       Impact factor: 10.154

5.  Surgical mortality in an aneurysm population: effects of age, blood pressure and preoperative neurological state.

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Journal:  J Neurol Neurosurg Psychiatry       Date:  1980-10       Impact factor: 10.154

6.  Lifetime risks for aneurysmal subarachnoid haemorrhage: multivariable risk stratification.

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Journal:  J Neurol Neurosurg Psychiatry       Date:  2013-01-25       Impact factor: 10.154

7.  Prognostic factors for outcome in patients with aneurysmal subarachnoid hemorrhage.

Authors:  Axel J Rosengart; Kim E Schultheiss; Jocelyn Tolentino; R Loch Macdonald
Journal:  Stroke       Date:  2007-06-14       Impact factor: 7.914

8.  [Spontaneous Subarachnoid Haemorrhage multicenter database from the Group for the Study of Vascular Pathology of the Spanish Society for Neurosurgery: presentation, inclusion criteria and development of an internet-based registry].

Authors:  A Lagares; P de Toledo; J A Fernández-Alén; J Ibáñez; F Arikan; R Sarabia; F Ballenilla; A Gabarros; A Horcajadas; G Rodríguez-Boto; A de la Lama; A Maillo; P Delgado; J L Yacer; J Domínguez; I Arrese
Journal:  Neurocirugia (Astur)       Date:  2008-10       Impact factor: 0.553

9.  Factors leading to hydrocephalus after aneurysmal subarachnoid hemorrhage.

Authors:  B T Demirgil; B Tugcu; L Postalci; G Guclu; A Dalgic; Z Oral
Journal:  Minim Invasive Neurosurg       Date:  2003-12

10.  The value of the Charlson Co-morbidity Index in aneurysmal subarachnoid haemorrhage.

Authors:  Hieronymus D Boogaarts; Mariana P Duarte Conde; Edith Janssen; Willemijn F M van Nuenen; Joost de Vries; Rogier Donders; Gert P Westert; J André Grotenhuis; Ronald H M A Bartels
Journal:  Acta Neurochir (Wien)       Date:  2014-06-28       Impact factor: 2.216

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  5 in total

1.  Identification of upregulated NF-κB inhibitor alpha and IRAK3 targeting lncRNA following intracranial aneurysm rupture-induced subarachnoid hemorrhage.

Authors:  Wei Leng; Dan Fan; Zhong Ren; Qiaoying Li
Journal:  BMC Neurol       Date:  2021-05-14       Impact factor: 2.474

2.  Does aneurysm side influence the infarction side and patients´ outcome after subarachnoid hemorrhage?

Authors:  Nina Brawanski; Sepide Kashefiolasl; Sae-Yeon Won; Stephanie Tritt; Joachim Berkefeld; Christian Senft; Volker Seifert; Jürgen Konczalla
Journal:  PLoS One       Date:  2019-11-07       Impact factor: 3.240

3.  The burden of headache following aneurysmal subarachnoid hemorrhage: a prospective single-center cross-sectional analysis.

Authors:  Torge Huckhagel; Regine Klinger; Nils Ole Schmidt; Jan Regelsberger; Manfred Westphal; Patrick Czorlich
Journal:  Acta Neurochir (Wien)       Date:  2020-02-04       Impact factor: 2.216

4.  m6A regulator-mediated RNA methylation modification patterns and immune microenvironment infiltration characterization in patients with intracranial aneurysms.

Authors:  Aierpati Maimaiti; Mirzat Turhon; Xiaojiang Cheng; Riqing Su; Kaheerman Kadeer; Aximujiang Axier; Dilimulati Ailaiti; Yirizhati Aili; Rena Abudusalamu; Ajimu Kuerban; Zengliang Wang; Maimaitili Aisha
Journal:  Front Neurol       Date:  2022-08-05       Impact factor: 4.086

5.  Identification of inflammation‑associated circulating long non‑coding RNAs and genes in intracranial aneurysm rupture‑induced subarachnoid hemorrhage.

Authors:  Lifa Huang; Xu Li; Zupeng Chen; Yajun Liu; Xin Zhang
Journal:  Mol Med Rep       Date:  2020-09-25       Impact factor: 2.952

  5 in total

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