Neuroprognostication in patients with primary neurological diagnoses as well as in critically ill patients with concomitant neurological diagnoses is increasingly complex. With advances in critical care, the focus of the field is progressively moving from survivorship to improving patients' quality of life. This evidence-based resource provides an in-depth analysis of different aspects of prognostication in neurologically critically ill patients, covering how to gather the correct data and synthesize this information at the bedside. Delving into disease specific prognostication such as traumatic brain injury, acute ischemic stroke and delirium, guidance is provided for choosing management strategies based on overall perception of prognostication and shared decision making. Other topics covered include religious and legal issues, palliative care, chronic critical illness and new frontiers including machine learning and biomarkers usage. An online version of the book with expandable figures can be accessed on Cambridge Core, via the code printed inside the cover.
Neuroprognostication in patients with primary neurological diagnoses is increasingly complex, as the focus of the field moves from survivorship to improving quality of life. With guidance on choosing the right management strategy for a range of diseases and exploring new frontiers such as machine learning, this is a key resource.
Daugiau informacijos
Provides guidance for prognostication of neurological diagnoses and choosing the right management strategy based on shared decision making.
1. Shared decision-making Neha S. Dangayach; Part I. Disease-Specific
Prognostication:
2. Prognostication in intracerebral hemorrhage Rajbeer
Sangha and Matthew Maas;
3. Prognostication in acute ischemic stroke
Alexander Allen and Barry M. Czeisler;
4. Prognostication in subarachnoid
hemorrhage Pirouz Piran, Sarah Nelson and Jose Suarez;
5. Prognostication in
traumatic brain injury Courtney Takahashi;
6. Prognostication in spinal cord
injury Jeffrey Zimering and Konstantinos Margetis;
7. Prognostication in
cardiac arrest Tobias Cronberg and Andrea Rossetti;
8. Prognostication in
neuroinfectious disease Anna M. Cervantes-Arslanian and Pria Anand;
9.
Prognostication in neuromuscular disease Christopher Kramer and Alejandro
Rabinstein;
10. Prognostication in status epilepticus Katlyn Nemani and
Ariane Lewis;
11. Prognostication in fulminant hepatic failure Alexandra S.
Reynolds and Thomas D. Schiano;
12. Prognostication in post-intensive care
syndrome Natalie Kreitzer, Neha S. Dangayach and Brandon Foreman;
13.
Prognostication in sepsis-associated encephalopathy William Roth, Marie
Carmelle Elie-Turenne and Carolina B. Maciel;
14. Prognostication in delirium
Eyal Y Kimchi and Sophia L. Ryan;
15. Prognostication in neuro-oncology and
neurological complications of hemato/oncological diseases Anuj Patel and E.
Alton Sartor;
16. Prognostication in the complications of neurosurgical
procedures Zachary Hickman;
17. Prognostication in pediatric neurocritical
care Kerri L. LaRovere, Matthew Kirschen, Alexis Topjian, Mark S. Wainwright
and Robert C. Tasker; Part II. Other Topics in Neuroprognostication:
18.
Prognostication in palliative care and neurocritical care Shannon Hextrum,
Viren Patel and Edward M Manno;
19. Prognostication in chronic critical
illness: frailty, geriatrics, prior severe neurological co-morbidities Kushak
Suchdev and Sanjeev Sivakumar;
20. Prognostication in the transition of
neurocritical care: neurorehabilitation and placement, role of post-ICU
recovery clinics, insurance, case management Cappi Lay;
21. Religious and
legal issues in neuroprognostication Aaron Lord and Ariane Lewis;
22. New
frontiers in neuroprognostication: machine learning and AI Charlene Ong and
Matthew Miller;
23. New frontiers in neuroprognostication: biomarkers Michael
Pizzi and Katharina Busl;
24. New frontiers in neuroprognostication:
point-of-care ultrasonography Collin Herman, Jonathan Gomez and Aarti Sarwal.
David M. Greer is Professor and Chair of the Department of Neurology at Boston University School of Medicine and the Richard B. Slifka Chief of Neurology at Boston Medical Center. Neha S. Dangayach is Associate istant Professor of Neurosurgery and Neurology at the Icahn School of Medicine at Mount Sinai, The Mount Sinai Health Systemospital, and serves as Systems Director of Neuroemergencies Management and Transfers; Research Director for Neurocritical Care and Recovery; Co-Director of the Neurosciences ICU (NSICU) at the Mount Sinai Hospital.
