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The frontal skull Hounsfield unit value can predict ventricular enlargement in patients with subarachnoid haemorrhage.

ABSTRACT: Hydrocephalus is a common complication following subarachnoid haemorrhage (SAH) arising from spontaneous aneurysm rupture. The Hounsfield unit (HU) value from computed tomography scans may reflect bone mineral density, which correlates with body mass index, which in turn is related to post-SAH ventricle size changes. We herein investigated potential associations between frontal skull HU values and ventricle size changes after SAH. HU values from four different areas in the frontal bone were averaged to minimize measurement errors. The bicaudate index and Evans ratio were measured using both baseline and follow-up CT images. CT images with bicaudate index >0.2 and Evans ratio >0.3 simultaneously were defined as indicating ventriculomegaly. We included 232 consecutive patients with SAH due to primary spontaneous aneurysm rupture, who underwent clipping over almost a 9-year period at a single institution. The first tertile of frontal skull HU values in older patients (?55 years) was an independent predictor of ventriculomegaly after SAH, as compared to the third tertile in younger patients (hazard ratio, 4.01; 95% confidence interval 1.21-13.30; p?=?0.023). The lower frontal skull HU value independently predicted ventricular enlargement post-SAH, due to the potential weak integrity of subarachnoid trabecular structures in younger patients.

SUBMITTER: Won YD

PROVIDER: S-EPMC6033863 | biostudies-other | 2018 Jul

REPOSITORIES: biostudies-other

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The frontal skull Hounsfield unit value can predict ventricular enlargement in patients with subarachnoid haemorrhage.

Won Yu Deok YD Na Min Kyun MK Kim Choong Hyun CH Kim Jae Min JM Cheong Jin Hwan JH Ryu Je Il JI Han Myung-Hoon MH

Scientific reports 20180705 1

Hydrocephalus is a common complication following subarachnoid haemorrhage (SAH) arising from spontaneous aneurysm rupture. The Hounsfield unit (HU) value from computed tomography scans may reflect bone mineral density, which correlates with body mass index, which in turn is related to post-SAH ventricle size changes. We herein investigated potential associations between frontal skull HU values and ventricle size changes after SAH. HU values from four different areas in the frontal bone were aver ...[more]

PMID: 29977066

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Project description:The prognosis of patients with aneurysmal subarachnoid haemorrhage requiring decompressive craniectomy is usually poor. Proper selection and early performing of decompressive craniectomy might improve the patients' outcome. We aimed at developing a risk score for prediction of decompressive craniectomy after aneurysmal subarachnoid haemorrhage. All consecutive aneurysmal subarachnoid haemorrhage cases treated at the University Hospital of Essen between January 2003 and June 2016 (test cohort) and the University Medical Center Freiburg between January 2005 and December 2012 (validation cohort) were eligible for this study. Various parameters collected within 72 h after aneurysmal subarachnoid haemorrhage were evaluated through univariate and multivariate analyses to predict separately primary (PrimDC) and secondary decompressive craniectomy (SecDC). The final analysis included 1376 patients. The constructed risk score included the following parameters: intracerebral ('Parenchymal') haemorrhage (1 point), 'Rapid' vasospasm on angiography (1 point), Early cerebral infarction (1 point), aneurysm Sac > 5 mm (1 point), clipping (' S urgery', 1 point), age U nder 55 years (2 points), Hunt and Hess grade ≥ 4 ('Reduced consciousness', 1 point) and External ventricular drain (1 point). The PRESSURE score (0-9 points) showed high diagnostic accuracy for the prediction of PrimDC and SecDC in the test (area under the curve = 0.842/0.818) and validation cohorts (area under the curve = 0.903/0.823), respectively. 63.7% of the patients scoring ≥6 points required decompressive craniectomy (versus 12% for the PRESSURE < 6 points, P < 0.0001). In the subgroup of the patients with the PRESSURE ≥6 points and absence of dilated/fixed pupils, PrimDC within 24 h after aneurysmal subarachnoid haemorrhage was independently associated with lower risk of unfavourable outcome (modified Rankin Scale >3 at 6 months) than in individuals with later or no decompressive craniectomy (P < 0.0001). Our risk score was successfully validated as reliable predictor of decompressive craniectomy after aneurysmal subarachnoid haemorrhage. The PRESSURE score might present a background for a prospective randomized clinical trial addressing the utility of early prophylactic decompressive craniectomy in aneurysmal subarachnoid haemorrhage.

Project description:BackgroundCerebral vasospasm (CV) is a feared complication which occurs after 20-40% of subarachnoid haemorrhage (SAH). It is standard practice to admit patients with SAH to intensive care for an extended period of resource-intensive monitoring. We used machine learning to predict CV requiring verapamil (CVRV) in the largest and only multi-center study to date.MethodsPatients with SAH admitted to UCLA from 2013 to 2022 and a validation cohort from VUMC from 2018 to 2023 were included. For each patient, 172 unique intensive care unit (ICU) variables were extracted through the primary endpoint, namely first verapamil administration or no verapamil. At each institution, a light gradient boosting machine (LightGBM) was trained using five-fold cross validation to predict the primary endpoint at various hospitalization timepoints.FindingsA total of 1750 patients were included from UCLA, 125 receiving verapamil. LightGBM achieved an area under the ROC (AUC) of 0.88 > 1 week in advance and ruled out 8% of non-verapamil patients with zero false negatives. Our models predicted "no CVRV" vs "CVRV within three days" vs "CVRV after three days" with AUCs = 0.88, 0.83, and 0.88, respectively. From VUMC, 1654 patients were included, 75 receiving verapamil. VUMC predictions averaged within 0.01 AUC points of UCLA predictions.InterpretationWe present an accurate and early predictor of CVRV using machine learning with multi-center validation. This represents a significant step towards optimized clinical management and resource allocation in patients with SAH.FundingRobert E. Freundlich is supported by National Center for Advancing Translational Sciences federal grant UL1TR002243 and National Heart, Lung, and Blood Institute federal grant K23HL148640; these funders did not play any role in this study. The National Institutes of Health supports Vanderbilt University Medical Center which indirectly supported these research efforts. Neither this study nor any other authors personally received financial support for the research presented in this manuscript. No support from pharmaceutical companies was received.

Project description:BackgroundA spontaneous subarachnoid haemorrhage (SAH) is one of the most critical neurological emergencies a dispatcher can face in an emergency telephone call. No study has yet investigated which symptoms are presented in emergency telephone calls for these patients. We aimed to identify symptoms indicative of SAH and to determine the sensitivity of these and their association (odds ratio, OR) with SAH.MethodsThis was a nested case-control study based on all telephone calls to the medical dispatch center of Copenhagen Emergency Medical Services in a 4-year time period. Patients with SAH were identified in the Danish National Patient Register; diagnoses were verified by medical record review and their emergency telephone call audio files were extracted. Audio files were replayed, and symptoms extracted in a standardized manner. Audio files of a control group were replayed and assessed as well.ResultsWe included 224 SAH patients and 609 controls. Cardiac arrest and persisting unconsciousness were reported in 5.8% and 14.7% of SAH patients, respectively. The highest sensitivity was found for headache (58.9%), nausea/vomiting (46.9%) and neck pain (32.6%). Among conscious SAH patients these symptoms were found to have the strongest association with SAH (OR 27.0, 8.41 and 34.0, respectively). Inability to stand up, speech difficulty, or sweating were reported in 24.6%, 24.2%, and 22.8%. The most frequent combination of symptoms was headache and nausea/vomiting, which was reported in 41.6% of SAH patients. More than 90% of headaches were severe, but headache was not reported in 29.7% of conscious SAH patients. In these, syncope was described by 49.1% and nausea/vomiting by 37.7%.ConclusionHeadache, nausea/vomiting, and neck pain had the highest sensitivity and strongest association with SAH in emergency telephone calls. Unspecific symptoms such as inability to stand up, speech difficulty or sweating were reported in 1 out of 5 calls. Interestingly, 1 in 3 conscious SAH patients did not report headache. Trial registration NCT03980613 ( www.clinicaltrials.gov ).

Dataset Information

The frontal skull Hounsfield unit value can predict ventricular enlargement in patients with subarachnoid haemorrhage.

Publications

The frontal skull Hounsfield unit value can predict ventricular enlargement in patients with subarachnoid haemorrhage.

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