Negar Asdaghi on Muck Rack

Negar Asdaghi

Miami
As seen in: Stroke Alert, Wiley Online Library, JAMA (The Journal of the American Medical Association), medRxiv, Neurology, Texas Medical Center
Associate Professor of Neurology, Stroke Section Editor, Host of Strokealert podcast, University of Miami, Miller School of Medicine
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Articles

Association of the ICH Score With Withdrawal of Life‐Sustaining Treatment Over a 10‐Year Period

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By Nina Massad, Lili Zhou, Brian Manolovitz, Negar Asdaghi
| Wiley Online Library Verified
1 Introduction Intracerebral hemorrhage (ICH) has been consistently demonstrated to have higher morbidity and mortality risk than subarachnoid hemorrhage (SAH) or ischemic stroke [1-3]. The decision to withdraw life-sustaining treatment (WLST) after ICH is common [2, 4, 5]. Mortality in ICH and other acute brain injuries has also been shown to be heavily mediated by WLST decisions [4, 6, 7].
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Association of ICH Score with Withdrawal of Life-Sustaining Treatment: A Decade from the Florida Stroke Registry

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By Nina Massad, Lili Zhou, Negar Asdaghi, Brian Manolovitz
| medRxiv
The authors have declared no competing interest. The FSR is a comprehensive repository of data collected from 181 participating hospitals statewide; its aim is to identify disparities in stroke care and develop interventions to improve the quality of stroke care in Florida.
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Predictors and Temporal Trends of Withdrawal of Life-Sustaining Therapy After Acute Stroke in the Florida Stroke Registry

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By Ayham Alkhachroum, Lili Zhou, Negar Asdaghi, Hannah Gardener
| Texas Medical Center
UNLABELLED: Temporal trends and factors associated with the withdrawal of life-sustaining therapy (WLST) after acute stroke are not well determined. DESIGN: Observational study (2008-2021). SETTING: Florida Stroke Registry (152 hospitals). PATIENTS: Acute ischemic stroke (AIS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH) patients. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Importance plots were performed to generate the most predictive factors of WLST.
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