Literature DB >> 25200246

Aneurysmal subarachnoid hemorrhage: a statewide assessment of outcome based on risk factors, aneurysm characteristics, and geo-demography.

Thomas Larrew1, Will Pryor1, James Weinberg2, Sharon Webb2, H Battenhouse3, Aquilla S Turk1, Imran Chaudry1, Alejandro Spiotta1, Raymond Turner1.   

Abstract

OBJECTIVE: Aneurysmal subarachnoid hemorrhage (aSAH) is a devastating illness with nationwide mortality rates reaching almost 50% within the first 30 days. A study was undertaken to evaluate how treatment modality, physical findings, and geo-demography contribute to the outcome of these cases, including complications and disposition status.
METHODS: All cases of aSAH in the fiscal year of 2012 (July 2011-June 2012) at the Medical University of South Carolina and Palmetto Health Richland were studied. These healthcare facilities represent 88.5% of aneurysm treatment in the state of South Carolina. Information including aneurysm properties, Hunt-Hess grade, Fisher grade, and symptoms occurring at and after admission were analyzed.
RESULTS: 131 patients (94 women and 37 men) with aSAH were treated. 92.4% of cases were treated endovascularly, with more than a third of all cases using balloon-assisted coiling. Hypertension, tobacco use, and hyperlipidemia were the most prevalent comorbidities. Headache, followed by hydrocephalus, motor disturbance, and nausea/vomiting were the most common presenting symptoms. The most common adverse event occurring after hospital admission was acute respiratory failure followed by urinary tract infection, hydrocephalus, and vasospasm. 42.0% were discharged home and nine patients (6.9%) died during hospitalization.
CONCLUSIONS: Previously established risk factors such as hypertension and smoking were identified as the most prevalent comorbidities, with disparity between subgroups, particularly women and African Americans. Endovascular treatment was the primary modality of treatment. Mortality rates were lower than previously reported. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  Aneurysm; Brain; Economics; History; Statistics

Mesh:

Year:  2014        PMID: 25200246     DOI: 10.1136/neurintsurg-2014-011359

Source DB:  PubMed          Journal:  J Neurointerv Surg        ISSN: 1759-8478            Impact factor:   5.836


  4 in total

1.  Predictors of In-Hospital Mortality and Home Discharge in Patients with Aneurysmal Subarachnoid Hemorrhage: A 4-Year Retrospective Analysis.

Authors:  Uma V Mahajan; Hammad A Khan; Xiaofei Zhou; Shaarada Srivatsa; Christina H Wright; Adam H Bates; Martha Sajatovic; Nicholas C Bambakidis
Journal:  Neurocrit Care       Date:  2022-09-16       Impact factor: 3.532

2.  Haplotype analysis of SERPINE1 gene: Risk for aneurysmal subarachnoid hemorrhage and clinical outcomes.

Authors:  Mingkuan Lin; Christoph J Griessenauer; Robert M Starke; R Shane Tubbs; Mohammadali M Shoja; Paul M Foreman; Nilesh A Vyas; Beverly C Walters; Mark R Harrigan; Philipp Hendrix; Winfield S Fisher; Jean-Francois Pittet; Mali Mathru; Robert H Lipsky
Journal:  Mol Genet Genomic Med       Date:  2019-07-03       Impact factor: 2.183

3.  Prognosis Predicting Score for Endovascular Treatment of Aneurysmal Subarachnoid Hemorrhage: A Risk Modeling Study for Individual Elderly Patients.

Authors:  Guoli Duan; Pengfei Yang; Qiang Li; Qiao Zuo; Lei Zhang; Bo Hong; Yi Xu; Wenyuan Zhao; Jianmin Liu; Qinghai Huang
Journal:  Medicine (Baltimore)       Date:  2016-02       Impact factor: 1.889

Review 4.  Determining rural risk for aneurysmal subarachnoid hemorrhages: A structural equation modeling approach.

Authors:  Linda Jayne Nichols; Seana Gall; Christine Stirling
Journal:  J Neurosci Rural Pract       Date:  2016 Oct-Dec
  4 in total

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