Literature DB >> 26910197

Distinguishing clinical and radiological features of non-traumatic convexal subarachnoid hemorrhage.

J Graff-Radford1, J E Fugate1, J Klaas1, K D Flemming1, R D Brown1, A A Rabinstein1.   

Abstract

BACKGROUND AND
PURPOSE: The full spectrum of causes of convexal subarachnoid hemorrhage (cSAH) requires further investigation. Therefore, our objective was to describe the spectrum of clinical and imaging features of patients with non-traumatic cSAH.
METHODS: A retrospective observational study of consecutive patients with non-traumatic cSAH was performed at a tertiary referral center. The underlying cause of cSAH was characterized and clinical and imaging features that predict a specific etiology were identified. The frequency of future cSAH or intracerebral hemorrhage (ICH) was determined.
RESULTS: In all, 88 patients [median age 64 years (range 25-85)] with non-traumatic cSAH were identified. The most common causes were reversible cerebral vasoconstriction syndrome (RCVS) (26, 29.5%), cerebral amyloid angiopathy (CAA) (23, 26.1%), indeterminate (14, 15.9%) and endocarditis (9, 10.2%). CAA patients commonly presented at an older age than RCVS patients (75 years versus 51 years, P < 0.0001). Thirteen patients (14.7%) had recurrent cSAH, and 12 patients (13.6%) had a subsequent ICH. However, the risk was high amongst those with CAA compared to those caused by RCVS, with recurrent cSAH in 39.1% and subsequent lobar ICH in 43.5% of CAA cases.
CONCLUSIONS: Our study demonstrates the clinical diversity of cSAH. Older age, sensorimotor dysfunction and stereotyped spells suggest CAA as the underlying cause. Younger age and thunderclap headache predict RCVS. Yet, various other causes also need to be considered in the differential diagnosis.
© 2016 EAN.

Entities:  

Keywords:  convexal; convexity; sulcal subarachnoid hemorrhage

Mesh:

Year:  2016        PMID: 26910197     DOI: 10.1111/ene.12926

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  11 in total

1.  Patterns of convexal subarachnoid haemorrhage: clinical, radiological and outcome differences between cerebral amyloid angiopathy and other causes.

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Journal:  J Neurol       Date:  2017-12-04       Impact factor: 4.849

Review 2.  Neuroimaging in the Diagnostic Evaluation of Eye Pain.

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3.  Incidence of Convexal Subarachnoid Hemorrhage in the Elderly: The Mayo Clinic Study of Aging.

Authors:  Micah Yost; Catherine Arnold Fiebelkorn; Alejandro A Rabinstein; James Klaas; Jeremiah A Aakre; Robert D Brown; Michelle M Mielke; David S Knopman; Val Lowe; Ronald C Petersen; Clifford R Jack; Prashanthi Vemuri; Jonathan Graff-Radford
Journal:  J Stroke Cerebrovasc Dis       Date:  2019-10-24       Impact factor: 2.136

4.  Convexal Subarachnoid Hemorrhage Caused by Infective Endocarditis in a Patient with Advanced Human Immunodeficiency Virus (HIV): The Culprits and Bystanders.

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6.  Convexity subarachnoid haemorrhage has a high risk of intracerebral haemorrhage in suspected cerebral amyloid angiopathy.

Authors:  D Wilson; I C Hostettler; G Ambler; G Banerjee; H R Jäger; D J Werring
Journal:  J Neurol       Date:  2017-02-02       Impact factor: 4.849

7.  Cortical subarachnoid haemorrhage with reversible cerebral vasoconstriction syndrome in an elderly woman.

Authors:  Yoshihiko Chiba; Daisuke Yamamoto; Tsuyoshi Uchiyama
Journal:  BMJ Case Rep       Date:  2017-04-03

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9.  Intracranial High-Grade Stenosis and Hyperhomocysteinemia Presenting as Cortical Subarachnoid Hemorrhage Concomitant with Acute Ischemic Stroke in a Young Man.

Authors:  Weiwei Qin; Weizheng Xie; Mingrong Xia; Robert Chunhua Zhao; Jiewen Zhang
Journal:  Am J Case Rep       Date:  2020-06-24

10.  Risk of intracranial haemorrhage and ischaemic stroke after convexity subarachnoid haemorrhage in cerebral amyloid angiopathy: international individual patient data pooled analysis.

Authors:  Isabel Charlotte Hostettler; Duncan Wilson; Catherine Arnold Fiebelkorn; Diane Aum; Sebastián Francisco Ameriso; Federico Eberbach; Markus Beitzke; Timothy Kleinig; Thanh Phan; Sarah Marchina; Romain Schneckenburger; Maria Carmona-Iragui; Andreas Charidimou; Isabelle Mourand; Sara Parreira; Gareth Ambler; Hans Rolf Jäger; Shaloo Singhal; John Ly; Henry Ma; Emmanuel Touzé; Ruth Geraldes; Ana Catarina Fonseca; Teresa Melo; Pierre Labauge; Pierre-Henry Lefèvre; Anand Viswanathan; Steven Mark Greenberg; Juan Fortea; Marion Apoil; Marion Boulanger; Fausto Viader; Sandeep Kumar; Velandai Srikanth; Ashan Khurram; Franz Fazekas; Veronica Bruno; Gregory Joseph Zipfel; Daniel Refai; Alejandro Rabinstein; Jonathan Graff-Radford; David John Werring
Journal:  J Neurol       Date:  2021-07-17       Impact factor: 4.849

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