2017
DOI: 10.1007/s12028-017-0466-8
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Electronic Health Data Predict Outcomes After Aneurysmal Subarachnoid Hemorrhage

Abstract: Variance in early physiologic data can impact patient outcomes and may serve as targets for early goal-directed therapy. Electronically retrievable features such as ICP, glucose levels, and electroencephalography patterns should be considered in disease severity and risk stratification scores.

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Cited by 27 publications
(26 citation statements)
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“…Even after adjusting for EA burden, age, gender, illness severity and other known predictors of outcome (including HH, APACHE II, DCI, HAP) (Witsch et al., 2016; Zafar et al ., 2017), there was no significant difference in outcomes between patients with EAs treated with AEDs compared to those who were not (OR 0.9 [0.2–3.3], p=0.899).…”
Section: Resultsmentioning
confidence: 99%
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“…Even after adjusting for EA burden, age, gender, illness severity and other known predictors of outcome (including HH, APACHE II, DCI, HAP) (Witsch et al., 2016; Zafar et al ., 2017), there was no significant difference in outcomes between patients with EAs treated with AEDs compared to those who were not (OR 0.9 [0.2–3.3], p=0.899).…”
Section: Resultsmentioning
confidence: 99%
“…However the study was underpowered (sample size of 68), and did not evaluate post-discharge outcomes or perform detailed analysis of periodic vs. rhythmic patterns (Crepeau et al ., 2013). Our study goes beyond these existing studies as we performed a more detailed analysis of EEG patterns using the ACNS criteria and a more robust analysis adjusting for additional known predictors of outcome (Witsch et al., 2016; Zafar et al ., 2017). …”
Section: Discussionmentioning
confidence: 99%
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“…[ 1 2 ] Factors predicting poor outcome include blood pressure variability (BPV)[ 3 4 5 6 7 ] and the need for invasive mechanical ventilation (MV). [ 8 ] BPV is defined as the average of absolute differences between consecutive blood pressure measurements (successive variations of blood pressure [BP SV ]) or variations in blood pressure during a period of time (standard deviation [BP SD ]) or coefficient of variation (BP CV ). [ 3 ]…”
Section: Introductionmentioning
confidence: 99%