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.
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.
