Articles: subarachnoid-hemorrhage.
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Treatment outcomes of octogenarians with aneurysmal subarachnoid hemorrhage (aSAH) are often considered poor. With ongoing advancements and experience in endovascular technology, we sought to evaluate the outcomes of octogenarians treated for aSAH in the second post-International Subarachnoid Aneurysm Trial (ISAT)/Barrow Ruptured Aneurysm Trial (BRAT) decade. ⋯ Neurologic outcomes of octogenarian patients with aSAH are improving in the second post-trial decade, particularly given the preponderance of endovascular treatment. Baseline functional status and comorbidities of octogenarians should be considered in addition to the Hunt-Hess grade in prognostication.
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Early mobilization has been shown to promote functional recovery and prevent complications in patients with aneurysmal subarachnoid hemorrhage (aSAH). However, the efficacy of early mobilization in patients with aSAH remains unclear. This study aimed to investigate the association between early mobilization and functional outcomes in patients with aSAH. ⋯ This multicenter retrospective study suggests that initiating walking training within 14 days of aSAH onset is associated with favorable outcomes.
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J Clin Monit Comput · Oct 2024
Early prediction of ventricular peritoneal shunt dependency in aneurysmal subarachnoid haemorrhage patients by recurrent neural network-based machine learning using routine intensive care unit data.
Aneurysmal subarachnoid haemorrhage (aSAH) can lead to complications such as acute hydrocephalic congestion. Treatment of this acute condition often includes establishing an external ventricular drainage (EVD). However, chronic hydrocephalus develops in some patients, who then require placement of a permanent ventriculoperitoneal (VP) shunt. ⋯ At that point, the accuracy of the prediction was 76% (CI: 75.98-83.09%), with a sensitivity of 85% (CI: 83-88%) and a specificity of 74% (CI: 71-78%). RNN-based machine learning has the potential to predict VP shunt dependency on Day 4 after ictus in aSAH patients using routine data collected in the ICU. The use of machine learning may allow early identification of patients with specific therapeutic needs and accelerate the execution of required procedures.
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This study aimed to investigate the histological and biochemical neuroprotective effects of secukinumab (SEC) on brain damage induced by subarachnoid hemorrhage (SAH) in male Wistar Albino rats. ⋯ This study revealed that SEC (3 mg/kg) therapeutically influenced oxidative and histopathological changes in blood parameters and brain tissues caused by experimental SAH. SEC helps reduce brain damage in rats with SAH and possesses antioxidant and neuroprotective properties. Further advanced studies are needed to prove its potential benefits for humans.