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Aneurysmal subarachnoid hemorrhage: prognostic features and outcomes
R J Tamargo1, K A Walter, E M Oshiro
1Department of Neurosurgery, The John Hopkins University School of Medicine, Baltimore, MD 21287-7713, USA.
Summary
This review examines prognostic factors and outcomes for aneurysmal subarachnoid hemorrhage (SAH). Key factors influencing patient outcomes include neurological status, aneurysm characteristics, and treatment timing.
Area of Science:
- Neurology
- Neurosurgery
- Epidemiology
Background:
- Aneurysmal subarachnoid hemorrhage (SAH) is a critical neurological condition with significant morbidity and mortality.
- Understanding prognostic features is crucial for effective patient management and outcome prediction.
Purpose of the Study:
- To comprehensively review the epidemiology of aneurysmal SAH.
- To discuss prognostic features and outcomes associated with both ruptured and unruptured cerebral aneurysms.
- To analyze trends in aneurysmal SAH outcomes over the past six decades.
Main Methods:
- Literature review of epidemiological data, clinical presentation, diagnosis, and treatment of aneurysmal SAH.
- Analysis of prognostic indicators including neurological condition, grading scales, patient demographics, aneurysm specifics, and complications.
- Review of historical outcome data for aneurysmal SAH.
Main Results:
- Epidemiological factors such as prevalence, incidence, and risk factors for SAH are detailed.
- Prognostic features for aneurysmal SAH encompass neurological grade, age, aneurysm size/location, vasospasm, and surgical factors.
- Prognostic features for unruptured aneurysms include rupture risk, size, location, and multiplicity.
Conclusions:
- Patient outcomes following aneurysmal SAH are influenced by a complex interplay of clinical, radiological, and treatment-related factors.
- Long-term outcomes for aneurysmal SAH have evolved over the past 60 years, necessitating ongoing research and optimized care strategies.
- Accurate assessment of prognostic features is vital for guiding therapeutic decisions and improving patient survival and quality of life.