Observational studyBMC neurology2021
Neurocritical care complications and interventions influence the outcome in aneurysmal subarachnoid hemorrhage.
Observational study in BMC neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Construction and verification of multimodal model for prognosis in elderly patients with aneurysmal subarachnoid hemorrhage.BMC neurology · 2026Article
- Prognostic value of early intracranial pressure curve following surgical decompression: A machine learning analysis.Brain & spine · 2026Article
- A machine learning predictive model for acute kidney injury among aneurysmal subarachnoid hemorrhage patients.BMC medical informatics and decision making · 2025Article
- Development and validation of a machine-learning model for predicting postoperative pneumonia in aneurysmal subarachnoid hemorrhage.Neurosurgical review · 2024Article
- Acute hydrocephalus and delayed cerebral infarction after aneurysmal subarachnoid hemorrhage.Acta neurochirurgica · 2022Article
- Acute hydrocephalus and delayed cerebral infarction after aneurysmal subarachnoid hemorrhage.Acta neurochirurgica · 2022Article
- Standardized Classification of Cerebral Vasospasm after Subarachnoid Hemorrhage by Digital Subtraction Angiography.Journal of clinical medicine · 2022Article
- XGBoost Machine Learning Algorithm for Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage.Neuropsychiatric disease and treatment · 2022Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis observational study was performed to show the impact of complications and interventions during neurocritical care on the outcome after aneurysmal subarachnoid hemorrhage (SAH).
methodsWe analyzed 203 cases treated for ruptured intracranial aneurysms, which were classified regarding clinical outcome after one year according to the modified Rankin Scale (mRS). We reviewed the data with reference to the occurrence of typical complications and interventions in neurocritical care units.
resultsDecompressive craniectomy (odds ratio 21.77 / 6.17 ; p < 0.0001 / p = 0.013), sepsis (odds ratio 14.67 / 6.08 ; p = 0.037 / 0.033) and hydrocephalus (odds ratio 3.71 / 6.46 ; p = 0.010 / 0.00095) were significant predictors for poor outcome and death after one year beside "World Federation of Neurosurgical Societies" (WFNS) grade (odds ratio 3.86 / 4.67 ; p < 0.0001 / p < 0.0001) and age (odds ratio 1.06 / 1.10 ; p = 0.0030 / p < 0.0001) in our multivariate analysis (binary logistic regression model).
conclusionsIn summary, decompressive craniectomy, sepsis and hydrocephalus significantly influence the outcome and occurrence of death after aneurysmal SAH.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.