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2017

Female

Department of Neurosurgery Faculty Papers

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Full-Text Articles in Medicine and Health Sciences

Intracranial Eeg Fluctuates Over Months After Implanting Electrodes In Human Brain., Hoameng Ung, Steven N. Baldassano, Hank Bink, Abba M. Krieger, Shawniqua Williams, Flavia Vitale, Chengyuan Wu, Dean Freestone, Ewan Nurse, Kent Leyde, Kathryn A. Davis, Mark Cook, Brian Litt Sep 2017

Intracranial Eeg Fluctuates Over Months After Implanting Electrodes In Human Brain., Hoameng Ung, Steven N. Baldassano, Hank Bink, Abba M. Krieger, Shawniqua Williams, Flavia Vitale, Chengyuan Wu, Dean Freestone, Ewan Nurse, Kent Leyde, Kathryn A. Davis, Mark Cook, Brian Litt

Department of Neurosurgery Faculty Papers

OBJECTIVE: Implanting subdural and penetrating electrodes in the brain causes acute trauma and inflammation that affect intracranial electroencephalographic (iEEG) recordings. This behavior and its potential impact on clinical decision-making and algorithms for implanted devices have not been assessed in detail. In this study we aim to characterize the temporal and spatial variability of continuous, prolonged human iEEG recordings.

APPROACH: Intracranial electroencephalography from 15 patients with drug-refractory epilepsy, each implanted with 16 subdural electrodes and continuously monitored for an average of 18 months, was included in this study. Time and spectral domain features were computed each day for each channel for …


Molecular-Based Recursive Partitioning Analysis Model For Glioblastoma In The Temozolomide Era: A Correlative Analysis Based On Nrg Oncology Rtog 0525., Erica Hlavin Bell, Stephanie L Pugh, Joseph P. Mcelroy, Mark R. Gilbert, Minesh Mehta, Alexander C Klimowicz, Anthony Magliocco, Markus Bredel, Pierre Robe, Anca L. Grosu, Roger Stupp, Walter Curran, Aline P. Becker, Andrea L. Salavaggione, Jill S. Barnholtz-Sloan, Kenneth Aldape, Deborah T. Blumenthal, Paul D. Brown, Jon Glass, Luis Souhami, R. Jeffrey Lee, David Brachman, John Flickinger, Minhee Won, Arnab Chakravarti Jun 2017

Molecular-Based Recursive Partitioning Analysis Model For Glioblastoma In The Temozolomide Era: A Correlative Analysis Based On Nrg Oncology Rtog 0525., Erica Hlavin Bell, Stephanie L Pugh, Joseph P. Mcelroy, Mark R. Gilbert, Minesh Mehta, Alexander C Klimowicz, Anthony Magliocco, Markus Bredel, Pierre Robe, Anca L. Grosu, Roger Stupp, Walter Curran, Aline P. Becker, Andrea L. Salavaggione, Jill S. Barnholtz-Sloan, Kenneth Aldape, Deborah T. Blumenthal, Paul D. Brown, Jon Glass, Luis Souhami, R. Jeffrey Lee, David Brachman, John Flickinger, Minhee Won, Arnab Chakravarti

Department of Neurosurgery Faculty Papers

Importance: There is a need for a more refined, molecularly based classification model for glioblastoma (GBM) in the temozolomide era.

Objective: To refine the existing clinically based recursive partitioning analysis (RPA) model by incorporating molecular variables.

Design, Setting, and Participants: NRG Oncology RTOG 0525 specimens (n = 452) were analyzed for protein biomarkers representing key pathways in GBM by a quantitative molecular microscopy-based approach with semiquantitative immunohistochemical validation. Prognostic significance of each protein was examined by single-marker and multimarker Cox regression analyses. To reclassify the prognostic risk groups, significant protein biomarkers on single-marker analysis were incorporated into an RPA model …


Association Of Magnet Status With Hospitalization Outcomes For Ischemic Stroke Patients., Kimon Bekelis, Symeon Missios, Todd A. Mackenzie Apr 2017

Association Of Magnet Status With Hospitalization Outcomes For Ischemic Stroke Patients., Kimon Bekelis, Symeon Missios, Todd A. Mackenzie

Department of Neurosurgery Faculty Papers

BACKGROUND: It is not clear whether Magnet recognition by the American Nurses Credentialing Center (nursing excellence program) is associated with improved patient outcomes. We investigated whether hospitalization in a Magnet hospital is associated with improved outcomes for patients with ischemic stroke.

METHODS AND RESULTS: We performed a cohort study of patients with ischemic stroke from 2009 to 2013, who were registered in the New York Statewide Planning and Research Cooperative System database. Propensity-score-adjusted multivariable regression models were used to adjust for known confounders, with mixed effects methods to control for clustering at the facility level. An instrumental variable analysis was …