2014
DOI: 10.1161/strokeaha.113.003078
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Patient Phenotypes Associated With Outcomes After Aneurysmal Subarachnoid Hemorrhage

Abstract: Background and Purpose-Predictors of outcome after aneurysmal subarachnoid hemorrhage have been determined previously through hypothesis-driven methods that often exclude putative covariates and require a priori knowledge of potential confounders. Here, we apply a data-driven approach, principal component analysis, to identify baseline patient phenotypes that may predict neurological outcomes. Methods-Principal component analysis was performed on 120 subjects enrolled in a prospective randomized trial of clazo… Show more

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Cited by 23 publications
(13 citation statements)
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“…20 Principal component analysis and biplot plotting were performed using custom code in R 3.1.3 software, available online.…”
Section: Principal Component Analysismentioning
confidence: 99%
“…20 Principal component analysis and biplot plotting were performed using custom code in R 3.1.3 software, available online.…”
Section: Principal Component Analysismentioning
confidence: 99%
“…3,13,14,31 To reduce the risk of rehemorrhage, the ruptured aneurysm is treated either by neurosurgical clipping 29 or endovascular coiling. 16,28,30 Since publication of the International Subarachnoid Aneurysm Trial (ISAT) 30 in 2002, endovascular coiling has gained wide acceptance and has become the preferred treatment modality at many centers.…”
mentioning
confidence: 99%
“…Variables that clustered within the same subnetwork as neurological outcome included measures of clinical and radiographic disease severity and poor clinical course. A previous data-driven principal component analysis of the same data set identified similar associations with outcome 2. Furthermore, all these covariates have been previously associated with outcomes in independent studies.…”
Section: Discussionmentioning
confidence: 59%
“…A z-score was derived for the laboratory values to represent their deviation from normal ranges published by the Canadian Medical Council. As we have shown previously, this approach places greater weights on values that deviate from normal ranges 2. To centre the means of other dimensions (such as subarachnoid and intraventricular clot burden), a z-score was derived from the sample distribution.…”
Section: Methodsmentioning
confidence: 99%