The Role of cEEG as a Predictor of Patient Outcome and Survival.
Purandare, Mallika.
2017
- When a patient is diagnosed with an intracranial hemorrhage, which is not uncommon in the United States, neurologists are quick to assess the size of the lesion, local brain functions that may be disrupted, and offer a route of treatment. However, the extent to which these brain bleeds can impact an individual’s functional ability – such as their ability to drive, walk, feed themselves, or bathe ... read more– is often left unaddressed. In this study, features of an electroencephalograph (EEG) were directly correlated to the functional outcomes of patients with a history of cranial hemorrhages. The patient pool being analyzed consists of 200 random individuals, accessible through the Brigham & Women’s database, who have been diagnosed with subdural, subarachnoid and intraventricular hemorrhages. Using hospital records, these patients were categorized based on their functional outcomes upon admission as per the Modified Rankin Scale (mRS). Patient mRS scores were correlated to the presence of varying electrophysiological patterns in the cEEG using advanced statistical analysis. The hypothesis suggested that the disappearance of normal features such as the Posterior Dominant Rhythm and sleep spindles as well as the appearance of delta waves and other pathological features, would correlate to a higher, more severe MRS scores. Multivariate logistic regression analysis reveals that presence of PDR, variability, continuity were associated with lower MRS scores and more positive patient outcomes while the presence of Generalized Periodic Discharges suggested poorer patient outcomes. This discovery allows for neurologists to better predict the functional outcomes of their patients, attain opportunities to solve other underlying etiologies to increase patient survival, and quality of life. Submitted in partial fulfillment of the grant requirement of the Tufts Summer Scholars Program.read less
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