Observational studyBMJ open2015
Predictive model for patients with poor-grade subarachnoid haemorrhage in 30-day observation: a 9-year cohort study.
Observational study in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Early predictors of functional outcome in poor-grade aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis.BMC neurology · 2022Pooled it
- Lack of association between chronological age and fisher group and poor outcomes in older patients with severe-grade aneurysmal subarachnoid hemorrhage: a nationwide registry study in Japan.Neurosurgical review · 2025Article
- Factors affecting 30-day mortality in poor-grade aneurysmal subarachnoid hemorrhage: a 10-year single-center experience.Frontiers in neurology · 2024Article
- Clinical prediction score for prolonged length of hospital stay in aneurysmal subarachnoid hemorrhage.BMC neurology · 2023Article
- A Model for Prediction of In-Hospital Mortality in Patients with Subarachnoid Hemorrhage.Neurocritical care · 2021Article
- Scoring Model to Predict Functional Outcome in Poor-Grade Aneurysmal Subarachnoid Hemorrhage.Frontiers in neurology · 2021Article
- The ESAS-score: A histological severity grading system of subarachnoid hemorrhage using the modified double hemorrhage model in rats.PloS one · 2020Article
- The Relationship Between Obstructive Sleep Apnea and Ruptured Intracranial Aneurysms.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2019Article
- Article
- Intracranial aneurysm rupture score may correlate to the risk of rebleeding before treatment of ruptured intracranial aneurysms.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019Article
- Electronic Health Data Predict Outcomes After Aneurysmal Subarachnoid Hemorrhage.Neurocritical care · 2018Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe purpose of this study was to identify prognostic factors and build the predictive model based on poor-grade subarachnoid haemorrhage (SAH) population received only supportive symptomatic treatment.
designProspective observational cohort study.
settingIntensive care unit at the Clinical Department of Neurology.
participantsA total of 101 patients with spontaneous SAH disqualified from neurosurgical operative treatment due to poor clinical condition. Data were collected over a 9-year period. OUTCOME MEASURES: Unfavourable outcome was defined as a modified Rankin Score ≥ 5 at 30 days of observation.
resultsMultivariable logistic regression analysis indicated the World Federation of Neurosurgical Societies Scale score, increasing age, Fisher grade and admission leucocytosis as independent predictive factors. The proposed scale subdivides the study population into four prognostic groups with significantly different outcomes: grade I: probability of favourable outcome 89.9%; grade II: 47.5%; grade III: 4.2%; grade IV: 0%. The receiver operating characteristic (ROC) curve for the prediction of outcome performed by the new scale had an area under the curve (AUC)=0.910 (excellent accuracy).
conclusionsUnfavourable outcome in non-operated patients with poor-grade SAH is strongly predicted by traditional unmodifiable factors such as age, amount of bleeding in CT, level of consciousness as well as leucocytosis. A new predictive scale based on the above parameters seems to reliably predict the outcome and may contribute to more effective planning of therapeutic management in patients with poor-grade SAH.
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