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Aneurysmal subarachnoid hemorrhage (aSAH) is an emergent condition requiring rapid intervention and prolonged monitoring. There are few recommendations regarding the management of aSAH in pregnancy. We identified all available literature and compiled management decisions as well as reported outcomes through a systematic literature review without meta-analysis to provide recommendations for management of aSAH during pregnancy. We included a total of 23 articles containing 54 cases of pregnancy-related aSAH in our review. From these reports and other literature, we evaluated information on aSAH pathophysiology, diagnosis, and management with respect to pregnancy. Early transfer to an appropriate facility with neurocritical care, a high-risk obstetric service, and a neurosurgery team available is crucial for the management of aSAH in pregnancy. Intensive monitoring and a multidisciplinary approach remain fundamental to ensure maternal and fetal health.
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http://dx.doi.org/10.1007/s10143-020-01457-2 | DOI Listing |
Clin Neurol Neurosurg
September 2025
Department of Neurosurgery and Spine Surgery, University Hospital Essen, University of Duisburg-Essen, Essen, Germany; Center for Translational Neuro, & Behavioral Sciences (C-TNBS), University of Duisburg Essen, Germany.
Objective: Accurate prediction of the initial severity of aneurysmal subarachnoid hemorrhage (aSAH) is important for effective management of unruptured intracranial aneurysms (IA). This study aims to investigate patient and IA characteristics as pre-rupture predictors of severe aSAH.
Methods: This retrospective analysis included all patients aged 18 years or older diagnosed with acute aSAH at our center between January 2003 and June 2016.
Palliat Med Rep
June 2025
Department of Nursing, Tamsui Mackay Memorial Hospital, New Taipei, Taiwan.
Background: Aneurysmal subarachnoid hemorrhage (aSAH) carries high mortality rates and often requires critical family decisions about code status when complications occur. The American Heart Association provides treatment guidelines but acknowledges a significant knowledge gap regarding do-not-resuscitate or do-not-intubate (DNR/DNI) decisions in patients with aSAH, challenging clinicians in identifying appropriate timing for these discussions.
Aim: To identify demographic and clinical physiological factors associated with code status transition in adults with aSAH admitted to the intensive care unit, supporting value-based decision making through more informed and timely discussions between health care providers and families that align with patients' core values and preferences.
J Stroke Cerebrovasc Dis
August 2025
Haikou Affiliated Hospital of Central South University Xiangya School of Medicine, No.43 Renmin Avenue, Haidian Island, Haikou City, Hainan Province 570208, China. Electronic address:
Objective: This study aimed to explore the association between ferroptosis markers and postoperative prognosis in patients with aneurysmal subarachnoid hemorrhage (aSAH) who underwent aneurysm clipping. Specifically, we evaluated the predictive value of ferroptosis markers in determining post-operative outcomes.
Methods: We conducted a prospective observational study involving 210 aSAH patients who underwent aneurysm clipping surgery at our institution from October 2021 to May 2023.
Neurosurg Rev
August 2025
Department of Neurosurgery, San Raffaele University Hospital, Milan, Italy.
Objectives: To investigate predictors and clinical impact of delayed cerebral infarction (CI) in a national multicentric poor grade aneurysmal subarachnoid hemorrhage (aSAH) population.
Methods: Retrospective analysis of prospectively collected data from the multi-centric POGASH (Poor Grade aSAH) registry of consecutive patients treated from January 1st, 2015, to June 30th, 2023. Poor grade was defined according to the worst-pretreatment WFNS scale.
NPJ Digit Med
August 2025
Department of Radiology, the First Affiliated Hospital of Anhui Medical University; Research Center of Clinical Medical Imaging; Anhui Province Clinical Image Quality Control Center, Hefei, Anhui, China.
Aneurysmal subarachnoid hemorrhage (aSAH) is a life-threatening condition, and accurate prediction of functional outcomes is critical for optimizing patient management within the initial 3 days of presentation. However, existing clinical scoring systems and imaging assessments do not fully capture clinical variability in predicting outcomes. We developed a deep learning model integrating pre- and postoperative noncontrast CT (NCCT) imaging with clinical data to predict 3-month modified Rankin Scale (mRS) scores in aSAH patients.
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