Search Results - "Gilmore, Emily J."

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    Prognostication of post-cardiac arrest coma: early clinical and electroencephalographic predictors of outcome by Sivaraju, Adithya, Gilmore, Emily J., Wira, Charles R., Stevens, Anna, Rampal, Nishi, Moeller, Jeremy J., Greer, David M., Hirsch, Lawrence J., Gaspard, Nicolas

    Published in Intensive care medicine (01-07-2015)
    “…Purpose To determine the temporal evolution, clinical correlates, and prognostic significance of electroencephalographic (EEG) patterns in post-cardiac arrest…”
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    Acute brain failure in severe sepsis: a prospective study in the medical intensive care unit utilizing continuous EEG monitoring by Gilmore, Emily J., Gaspard, Nicolas, Choi, Huimahn A., Cohen, Emily, Burkart, Kristin M., Chong, David H., Claassen, Jan, Hirsch, Lawrence J.

    Published in Intensive care medicine (01-04-2015)
    “…Purpose Investigate the prevalence, risk factors and impact of continuous EEG (cEEG) abnormalities on mortality through the 1-year follow-up period in patients…”
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    Distinct predictive values of current neuroprognostic guidelines in post-cardiac arrest patients by Zhou, Sonya E., Maciel, Carolina B., Ormseth, Cora H., Beekman, Rachel, Gilmore, Emily J., Greer, David M.

    Published in Resuscitation (01-06-2019)
    “…To assess the performance of neuroprognostic guidelines proposed by the American Academy of Neurology (AAN), European Resuscitation Council/European Society of…”
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    Deep Versus Lobar Intraparenchymal Hemorrhage: Seizures, Hyperexcitable Patterns, and Clinical Outcomes by Sheikh, Zubeda B, Stretz, Christoph, Maciel, Carolina B, Dhakar, Monica B, Orgass, Hailey, Petroff, Ognen A, Hirsch, Lawrence J, Gilmore, Emily J

    Published in Critical care medicine (01-06-2020)
    “…OBJECTIVES:To compare electrographic seizures, hyperexcitable patterns, and clinical outcomes in lobar and deep intraparenchymal hemorrhage. Additionally, to…”
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    Intracerebral Hemorrhage Location and Functional Outcomes of Patients: A Systematic Literature Review and Meta-Analysis by Sreekrishnan, Anirudh, Dearborn, Jennifer L., Greer, David M., Shi, Fu-Dong, Hwang, David Y., Leasure, Audrey C., Zhou, Sonya E., Gilmore, Emily J., Matouk, Charles C., Petersen, Nils H., Sansing, Lauren H., Sheth, Kevin N.

    Published in Neurocritical care (01-12-2016)
    “…Background and Purpose Intracerebral hemorrhage (ICH) has the highest mortality rate among all strokes. While ICH location, lobar versus non-lobar, has been…”
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    Cyclic seizures in critically ill patients: clinical correlates, DC recordings and outcomes by Pinto, Lecio F, Gilmore, Emily J, Petroff, Ognen A, Sivaraju, Adithya, Rampal, Nishi, Hirsch, Lawrence J, Gaspard, Nicolas

    Published in Clinical neurophysiology (01-06-2017)
    “…Highlights • Cyclic seizures (CS) are common in critically ill patients with acute/progressive brain injury. • CS are often accompanied by synchronous…”
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    13 Prognostication in super refractory status epilepticus: Preliminary results from an international survey study by Woodward, Matthew R., Brown, Jessica, Badjatia, Neeraj, Morris, Nicholas, Johnson, Emily L., Gilmore, Emily J.

    “…OBJECTIVES/GOALS: Super refractory status epilepticus (SRSE) is associated with high mortality, often due to withdrawal of life sustaining therapy (WLST) based…”
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    Frequency of Withdrawal of Life-Sustaining Therapy for Perceived Poor Neurologic Prognosis by Steinberg, Alexis, Abella, Benjamin S, Gilmore, Emily J, Hwang, David Y, Kennedy, Niki, Lau, Winnie, Mullen, Isabelle, Ravishankar, Nidhi, Tisch, Charlotte F, Waddell, Adam, Wallace, David J, Zhang, Qiang, Elmer, Jonathan

    Published in Critical care explorations (13-07-2021)
    “…To measure the frequency of withdrawal of life-sustaining therapy for perceived poor neurologic prognosis among decedents in hospitals of different sizes and…”
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    Comparison of machine learning models for seizure prediction in hospitalized patients by Struck, Aaron F., Rodriguez‐Ruiz, Andres A., Osman, Gamaledin, Gilmore, Emily J., Haider, Hiba A., Dhakar, Monica B., Schrettner, Matthew, Lee, Jong W., Gaspard, Nicolas, Hirsch, Lawrence J., Westover, M. Brandon

    “…Objective To compare machine learning methods for predicting inpatient seizures risk and determine the feasibility of 1‐h screening EEG to identify low‐risk…”
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    Intracerebral Hemorrhage with Intraventricular Extension-Getting the Prognosis Right Early by Stretz, Christoph, Gao, Catherine, Greer, David M, Loomis, Caitlin, Gilmore, Emily J, Kundishora, Adam J, Matouk, Charles C, Hwang, David Y

    Published in Frontiers in neurology (17-08-2017)
    “…Early accurate outcome prognostication for patients with intracerebral hemorrhage (ICH) and accompanying intraventricular hemorrhage (IVH) is often challenging…”
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