Literature DB >> 33661704

Computed tomography angiography findings predictive of post-intervention vasospasm in patients with aneurysmal subarachnoid hemorrhage.

Charles G Colip1, Sean Wo1, Daniel S Hippe1, Hiroko Watase2, Alfonso R Urdaneta-Moncada1, Chengcheng Zhu1, Lei Wu1, Justin E Vranic1, Cory M Kelly3,4, Michael R Levitt3,4, Mahmud Mossa-Basha1.   

Abstract

OBJECTIVE: To evaluate the association of CT/CT angiography (CTA) findings and clinical characteristics with subsequent vasospasm in patients with aneurysmal subarachnoid hemorrhage (aSAH). METHODS-: Consecutive presentation CTA head exams in patients with aSAH between January 2005 and June 2015 were retrospectively evaluated for intracranial arterial calcification, undulation and non-calcified stenosis. Additional variables including modified Fisher Scale (mFS), Glasgow Coma Scale (GCS) and neurological exam status were reviewed. Associations of CTA findings with the incidence of angiographic vasospasm were assessed with multivariate logistic regression models using the least absolute shrinkage and selection operator machine-learning algorithm. Model performance was summarized using c-index with bootstrap optimism-adjustment.
RESULTS: Intracranial arterial calcification, seen in 51.7% of 195 total patients, was protective against vasospasm (OR-0.6; 95% CI-0.52-0.67; p = 0.009), while arterial undulation (24%) was associated with subsequent vasospasm (OR-2.6; 95% CI-1.3-5.1; p = 0.007). Non-calcified intracranial arterial stenosis (5%) was associated with subsequent vasospasm, (OR-4.7; 95% CI-1.0-22.8; p = 0.054). Least absolute shrinkage and selection operator selected all three CTA findings as predictors in a multivariate model for vasospasm in addition to clinical factors, which demonstrated superior predictive performance (c-index-0.74; 95% CI-0.69-0.82) compared to a model based on mFS and clinical factors only (c-index-0.66; 95% CI-0.57-0.75; p = 0.010 for the difference).
CONCLUSION: Presentation CTA findings combined with clinical factors may better predict the development of vasospasm in patients with aSAH compared to current prognostic models alone. ADVANCES IN KNOWLEDGE: The combination of initial CT/CTA and clinical findings better predict development of vasospasm after aSAH. This can lead to better markers for use in future clinical trials to develop vasospasm preventative treatments and potentially provide better targets for early aggressive treatment.

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Year:  2021        PMID: 33661704      PMCID: PMC8506174          DOI: 10.1259/bjr.20200893

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  28 in total

1.  A standardized method for measuring intracranial arterial stenosis.

Authors:  O B Samuels; G J Joseph; M J Lynn; H A Smith; M I Chimowitz
Journal:  AJNR Am J Neuroradiol       Date:  2000-04       Impact factor: 3.825

2.  Prediction of symptomatic vasospasm after subarachnoid hemorrhage: the modified fisher scale.

Authors:  Jennifer A Frontera; Jan Claassen; J Michael Schmidt; Katja E Wartenberg; Richard Temes; E Sander Connolly; R Loch MacDonald; Stephan A Mayer
Journal:  Neurosurgery       Date:  2006-07       Impact factor: 4.654

3.  Predominance of Nonatherosclerotic Internal Elastic Lamina Calcification in the Intracranial Internal Carotid Artery.

Authors:  Annelotte Vos; Wim Van Hecke; Wim G M Spliet; Roel Goldschmeding; Ivana Isgum; Remko Kockelkoren; Ronald L A W Bleys; Willem P T M Mali; Pim A de Jong; Aryan Vink
Journal:  Stroke       Date:  2015-10-29       Impact factor: 7.914

4.  Patterns of cerebral infarction in aneurysmal subarachnoid hemorrhage.

Authors:  Alejandro A Rabinstein; Stephen Weigand; John L D Atkinson; Eelco F M Wijdicks
Journal:  Stroke       Date:  2005-04-14       Impact factor: 7.914

5.  Age-associated vasospasm in aneurysmal subarachnoid hemorrhage.

Authors:  Sushant P Kale; Randall C Edgell; Amer Alshekhlee; Afshin Borhani Haghighi; Justin Sweeny; Jason Felton; Jacob Kitchener; Nirav Vora; Bruce K Bieneman; Salvador Cruz-Flores; Saleem Abdulrauf
Journal:  J Stroke Cerebrovasc Dis       Date:  2011-06-29       Impact factor: 2.136

6.  Guidelines for the management of aneurysmal subarachnoid hemorrhage: a guideline for healthcare professionals from the American Heart Association/american Stroke Association.

Authors:  E Sander Connolly; Alejandro A Rabinstein; J Ricardo Carhuapoma; Colin P Derdeyn; Jacques Dion; Randall T Higashida; Brian L Hoh; Catherine J Kirkness; Andrew M Naidech; Christopher S Ogilvy; Aman B Patel; B Gregory Thompson; Paul Vespa
Journal:  Stroke       Date:  2012-05-03       Impact factor: 7.914

7.  Quantitative analysis of hemorrhage volume for predicting delayed cerebral ischemia after subarachnoid hemorrhage.

Authors:  Sang-Bae Ko; H Alex Choi; Amanda Mary Carpenter; Raimund Helbok; J Michael Schmidt; Neeraj Badjatia; Jan Claassen; E Sander Connolly; Stephan A Mayer; Kiwon Lee
Journal:  Stroke       Date:  2011-01-21       Impact factor: 7.914

8.  Incorporating a Modified Graeb Score to the Modified Fisher Scale for Improved Risk Prediction of Delayed Cerebral Ischemia Following Aneurysmal Subarachnoid Hemorrhage.

Authors:  Matt E Eagles; Blessing N R Jaja; R Loch Macdonald
Journal:  Neurosurgery       Date:  2018-03-01       Impact factor: 4.654

9.  Intracranial vascular calcification is protective from vasospasm after aneurysmal subarachnoid hemorrhage.

Authors:  Haitham M Hussein; Haralabos Zacharatos; Steve Cordina; Kamakshi Lakshminarayan; Mustapha A Ezzeddine
Journal:  J Stroke Cerebrovasc Dis       Date:  2014-10-11       Impact factor: 2.136

10.  Early vs. delayed cerebral infarction after aneurysm repair after subarachnoid hemorrhage.

Authors:  Abhay Kumar; Robert Brown; Rajat Dhar; Tomoko Sampson; Colin P Derdeyn; Christopher J Moran; Michael N Diringer
Journal:  Neurosurgery       Date:  2013-10       Impact factor: 4.654

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