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Couret D, Boussen S, Cardoso D, Alonzo A, Madec S, Reyre A, Brunel H, Girard N, Graillon T, Dufour H, Bruder N, Boucekine M, Meilhac O, Simeone P, Velly L. Comparison of scales for the evaluation of aneurysmal subarachnoid haemorrhage: a retrospective cohort study. Eur Radiol 2024:10.1007/s00330-024-10814-4. [PMID: 38836940 DOI: 10.1007/s00330-024-10814-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 04/05/2024] [Accepted: 04/14/2024] [Indexed: 06/06/2024]
Abstract
BACKGROUND/OBJECTIVES Aneurysmal subarachnoid haemorrhage (aSAH) is a life-threatening event with major complications. Delayed cerebral infarct (DCI) occurs most frequently 7 days after aSAH and can last for a prolonged period. To determine the most predictive radiological scales in grading subarachnoid or ventricular haemorrhage or both for functional outcome at 3 months in a large aSAH population, we conducted a single-centre retrospective study. METHODS A 3-year single-centre retrospective cohort study of 230 patients hospitalised for aSAH was analysed. Initial computed tomography (CT) scans in patients hospitalised for aSAH were blindly assessed using eight grading systems: the Fisher grade, modified Fisher grade, Barrow Neurological Institute scale, Hijdra scale, Intraventricular Haemorrhage (IVH) score, Graeb score and LeRoux score. RESULTS Of 200 patients with aSAH who survived to day 7 and were included for DCI analysis, 39% of cases were complicated with DCI. The Hijdra scale was the best predictor for DCI, with a receiver operating characteristic area under the curve (ROCAUC) of 0.80 (95% confidence interval (CI), 0.74-0.85). The IVH score was the most effective grading system for predicting acute hydrocephalus, with a ROCAUC of 0.85 (95% CI, 0.79-0.89). In multivariate analysis, the Hijdra scale was the best predictor of the occurrence of DCI (hazard ratio, 1.18; 95% CI, 1.10-1.25). CONCLUSIONS Although these results have yet to be prospectively confirmed, our findings suggest that the Hijdra scale may be a good predictor of DCI and could be useful in daily clinical practice. CLINICAL RELEVANCE STATEMENT Better assessment of subarachnoid haemorrhage patients would allow for better prognostication and management of expectations, as well as referral for appropriate services and helping to appropriate use limited critical care resources. KEY POINTS Aneurysmal subarachnoid haemorrhage is a life-threatening event that causes severe disability and leads to major complications such as delayed cerebral infarction. Accurate assessment of the amount of blood in the subarachnoid spaces on computed tomography with the Hijdra scale can better predict the risk of delayed cerebral infarct. The Hijdra scale could be a good triage tool for subarachnoid haemorrhage patients.
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Affiliation(s)
- David Couret
- Department of Anaesthesiology and Critical Care Medicine, Aix Marseille Univ, University Hospital Timone, Marseille, France.
- Neurocritical Care Unit, University Hospital Saint Pierre, Réunion Univ, BP 350, Saint Pierre, 97448, La Réunion, France.
- Reunion Island University, INSERM, Diabète Athérothrombose Réunion Océan Indien (DéTROI), Saint Denis de la Réunion, France.
| | - Salah Boussen
- Department of Anaesthesiology and Critical Care Medicine, Aix Marseille Univ, University Hospital Timone, Marseille, France
| | - Dan Cardoso
- Department of Anaesthesiology and Critical Care Medicine, Aix Marseille Univ, University Hospital Timone, Marseille, France
| | - Audrey Alonzo
- Department of Anaesthesiology and Critical Care Medicine, Aix Marseille Univ, University Hospital Timone, Marseille, France
| | - Sylvain Madec
- Department of Anaesthesiology and Critical Care Medicine, Aix Marseille Univ, University Hospital Timone, Marseille, France
| | - Anthony Reyre
- Department of Radiology, University Hospital Timone, Aix Marseille University, Marseille, France
| | - Hervé Brunel
- Department of Radiology, University Hospital Timone, Aix Marseille University, Marseille, France
| | - Nadine Girard
- Department of Radiology, University Hospital Timone, Aix Marseille University, Marseille, France
| | - Thomas Graillon
- Department of Neurosurgery, University Hospital Timone, Aix Marseille University, Marseille, France
| | - Henry Dufour
- Department of Neurosurgery, University Hospital Timone, Aix Marseille University, Marseille, France
| | - Nicolas Bruder
- Department of Anaesthesiology and Critical Care Medicine, Aix Marseille Univ, University Hospital Timone, Marseille, France
| | - Mohamed Boucekine
- Centre D'Etudes Et de Recherches Sur Les Services de Santé Et Qualité, Faculté de Médecine, Aix-Marseille Université, 13005, Marseille, France
| | - Olivier Meilhac
- Reunion Island University, INSERM, Diabète Athérothrombose Réunion Océan Indien (DéTROI), Saint Denis de la Réunion, France
| | - Pierre Simeone
- Department of Anaesthesiology and Critical Care Medicine, Aix Marseille Univ, University Hospital Timone, Marseille, France
- CNRS, INT, Inst Neurosci Timone, Aix Marseille Univ, Marseille, France
| | - Lionel Velly
- Department of Anaesthesiology and Critical Care Medicine, Aix Marseille Univ, University Hospital Timone, Marseille, France
- CNRS, INT, Inst Neurosci Timone, Aix Marseille Univ, Marseille, France
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Geng Y, Jia J, Liu X, Li T, Liu H, Sun Y, Wang Y. Clinical outcome and prognostic factors of patients with non-traumatic angiography-negative subarachnoid hemorrhage. Front Neurol 2023; 14:1157845. [PMID: 37545726 PMCID: PMC10398389 DOI: 10.3389/fneur.2023.1157845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 07/04/2023] [Indexed: 08/08/2023] Open
Abstract
Purpose The cause of spontaneous subarachnoid hemorrhage (SAH) is unknown in 10% of cases. The aim of this study was to demonstrate the characteristics of patients with angiography-negative subarachnoid hemorrhage (anSAH) and to analyze factors influencing the clinical outcome in patients suffering from anSAH. Methods A retrospective cohort of 75 patients with anSAH [26 perimesencephalic (pmSAH) and 49 non-perimesencephalic SAH (npmSAH)] admitted between January 2016 and June 2022 was included. We analyzed demographic, clinical data and 6-month functional outcomes. Enter regression analysis was performed to identify factors associated with outcomes. Results Unfavorable outcome was achieved in 10 of 75 patients (13.3%). Unfavorable outcome was associated with senior adults (p = 0.008), Hijdra cistern score (HCS) elevation (p = 0.015), long-time lumbar cistern continuous drainage (LCFD; p = 0.029) and hydrocephalus (p = 0.046). The only significant risk factor for unfavorable outcome after npmSAH was the HCS (OR 1.213 (95%CI 1.007-1.462), p = 0.042). Conclusion Our study provides valuable information on both SAH patterns and functional outcome in patients suffering from anSAH and should be taken into consideration during management of these patients.
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Affiliation(s)
- Yibo Geng
- Department of Neurosurgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Jianwen Jia
- Department of Neurosurgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Xiaoli Liu
- Department of Hernia and Abdominal Wall Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Tong Li
- Department of Neurosurgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - He Liu
- Department of Neurosurgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Yongquan Sun
- Department of Neurosurgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Yang Wang
- Department of Neurosurgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
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Florez WA, Martinez-Perez R, Deora H, Joaquim AF, García-Ballestas E, Quiñones-Ossa GA, Rivas-Palacios C, Agrawal A, Serrato SA, Jabbour P, Moscote-Salazar LR. An update of predictors of cerebral infarction after aneurysmal subarachnoid hemorrhage: systematic review and meta-analysis. J Neurosurg Sci 2023; 67:1-9. [PMID: 36112119 DOI: 10.23736/s0390-5616.22.05445-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
INTRODUCTION Evidence about predictors of poor outcomes such as cerebral infarction (CI) after aneurysmal subarachnoid hemorrhage (aSAH) has not been fully elucidated. EVIDENCE ACQUISITION We performed a systematic review and meta-analysis on studies with adults with aSAH considering RCT and non-RCT, prospective, and retrospective cohort studies describing clinical, imaging as well as angiographic studies in patients with aSAH. EVIDENCE SYNTHESIS After reviewing the complete text, 11 studies were considered eligible, out of which four were ruled out. Degree of clinical severity was the most predictive factor with a higher degree at the presentation on different severity scales being associated with a statistically significant increasing the risk of suffering a CI following aSAH (OR 2.49 [95% CI 1.38-4.49] P=0.0003). Aneurysm size increased the risk of CI (OR 1.49 [95% CI 1.20-1.85] P=0.0003; I2=4%). In six studies analyzed, it was found that an important factor for the subsequent development of CI is vasospasm (OR 7.62 [2.19, 26.54], P=0.0001). CONCLUSIONS The development of vasospasm is a risk factor for CI development after aSAH. In our review, three factors were associated with an increased risk of CI: clinical severity at presentation, vasospasm, and aneurysm size. The major limitation of this meta-analysis is that included studies were conducted retrospectively or were post hoc analyses of a prospective trial.
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Affiliation(s)
- William A Florez
- Consejo Latinoamericano de Neurointensivismo- CLaNi, Cartagena, Colombia.,Faculty of Medicine, Universidad Surcolombiana, Neiva, Colombia
| | - Rafael Martinez-Perez
- Department of Neurosurgery, Wexner Medical Center, The Ohio State University, Columbus, OH, USA.,Division of Neurosurgery, Institute of Neurosciences, Austral University of Chile, Valdivia, Chile
| | - Harsh Deora
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Andrei F Joaquim
- Department of Neurosurgery. University of Campinas (UNICAMP), São Paulo, Brazil
| | - Ezequiel García-Ballestas
- Consejo Latinoamericano de Neurointensivismo- CLaNi, Cartagena, Colombia.,Centro De Investigaciones Biomédicas (CIB), Faculty of Medicine, University of Cartagena, Cartagena, Colombia
| | - Gabriel A Quiñones-Ossa
- Consejo Latinoamericano de Neurointensivismo- CLaNi, Cartagena, Colombia - .,Faculty of Medicine, El Bosque University, Bogotá, Colombia
| | - Claudio Rivas-Palacios
- Centro De Investigaciones Biomédicas (CIB), Faculty of Medicine, University of Cartagena, Cartagena, Colombia
| | - Amit Agrawal
- Department of Neurosurgery, All India Institute of Medical Sciences, Bhopal, India
| | | | - Pascal Jabbour
- Department of Neurological Surgery, Thomas Jefferson University Hospital, Philadelphia, PA, USA
| | - Luis R Moscote-Salazar
- Consejo Latinoamericano de Neurointensivismo- CLaNi, Cartagena, Colombia.,Faculty of Medicine, Universidad Surcolombiana, Neiva, Colombia
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Csók I, Grauvogel J, Scheiwe C, Bardutzky J, Wehrum T, Beck J, Reinacher PC, Roelz R. Basic Surveillance Parameters Improve the Prediction of Delayed Cerebral Infarction After Aneurysmal Subarachnoid Hemorrhage. Front Neurol 2022; 13:774720. [PMID: 35309593 PMCID: PMC8926032 DOI: 10.3389/fneur.2022.774720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 01/19/2022] [Indexed: 11/13/2022] Open
Abstract
Background To establish a practical risk chart for prediction of delayed cerebral infarction (DCI) after aneurysmal subarachnoid hemorrhage (aSAH) by using information that is available until day 5 after ictus. Methods We assessed all consecutive patients with aSAH admitted to our service between September 2008 and September 2015 (n = 417). The data set was randomly split into thirds. Two-thirds were used for model development and one-third was used for validation. Characteristics that were present between the bleeding event and day 5 (i.e., prior to >95% of DCI diagnoses) were assessed to predict DCI by using logistic regression models. A simple risk chart was established and validated. Results The amount of cisternal and ventricular blood on admission CT (Hijdra sum score), early sonographic vasospasm (i.e., mean flow velocity of either intracranial artery >160 cm/s until day 5), and a simplified binary level of consciousness score until day 5 were the strongest predictors of DCI. A model combining these predictors delivered a high predictive accuracy [the area under the receiver operating characteristic (AUC) curve of 0.82, Nagelkerke's R2 0.34 in the development cohort]. Validation of the model demonstrated a high discriminative capacity with the AUC of 0.82, Nagelkerke's R2 0.30 in the validation cohort. Conclusion Adding level of consciousness and sonographic vasospasm between admission and postbleed day 5 to the initial blood amount allows for simple and precise prediction of DCI. The suggested risk chart may prove useful for selection of appropriate candidates for interventions to prevent DCI.
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Affiliation(s)
- István Csók
- Department of Neurosurgery, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jürgen Grauvogel
- Department of Neurosurgery, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Christian Scheiwe
- Department of Neurosurgery, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jürgen Bardutzky
- Department of Neurology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Thomas Wehrum
- Department of Neurology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jürgen Beck
- Department of Neurosurgery, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Peter C. Reinacher
- Department of Stereotactic and Functional Neurosurgery, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Fraunhofer Institute for Laser Technology, Aachen, Germany
| | - Roland Roelz
- Department of Neurosurgery, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- *Correspondence: Roland Roelz
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Martinez‐Perez R, Kortz MW, Ung TH, Rayo N, Lagares A, Cepeda S. Third Ventricle Volume Predicts Functional Outcome in Chronic Subdural Hematoma. Acta Neurol Scand 2022; 145:249-256. [PMID: 34716574 DOI: 10.1111/ane.13546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 10/01/2021] [Accepted: 10/20/2021] [Indexed: 11/27/2022]
Abstract
OBJECTIVES There is a lack of evidence demonstrating the utility of computed tomography (CT) to predict chronic subdural hematoma (CSDH) clinical outcomes. We aim to analyze the role of tomographic volumetric analysis in patients with CSDH. METHODS We performed a retrospective study of patients undergoing burr-hole craniostomy (BHC) for CSDH over five years at a tertiary care center. Degree of midline shift, radiographic density, subdural hematoma volume, acute blood volume, and third ventricle (3VV) and fourth ventricle (4VV) volume were estimated using semiautomatic segmentation of preoperative CT. Postoperative functional outcome was measured by two endpoints: National Institute of Health Stroke Scale (NIHSS) at discharge and short-term modified Rankin Scale (mRS) at 6-week follow-up. Univariate and multivariate analyses were performed using nonparametric tests. Discriminative capacity and optimal thresholds of independent variables were calculated by means of receiving-operative curves (ROC). RESULTS A total of 79 patients were included for analysis with a median age of 78.5 years. Greater preoperative 3VV independently correlated with poor discharge NIHSS (p = .01) and short-term mRS (p = .03). A cutoff value of 0.545 mL demonstrated the highest sensitivity (77.1%) and specificity (88.8%) with an odds ratio for an mRS functional dependence of 9.29 (p = .001). CONCLUSIONS Greater preoperative tomographic 3VV independently prognosticates poor discharge NIHSS and 6-week mRS. A threshold 3VV of 0.545 mL can be used to identify patients at higher risk of being dependent at first protocolized follow-up.
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Affiliation(s)
- Rafael Martinez‐Perez
- Department of Neurosurgery and Neuroscience Institute Geisinger Health System Wilkes‐Barre Pennsylvania USA
- Department of Neurosurgery Universidad Complutense Madrid Spain
| | - Michael W. Kortz
- Department of Neurosurgery and Neuroscience Institute Geisinger Health System Wilkes‐Barre Pennsylvania USA
| | - Timothy H. Ung
- Department of Neurosurgery and Neuroscience Institute Geisinger Health System Wilkes‐Barre Pennsylvania USA
| | - Natalia Rayo
- Department of Biology Western University London Canada
| | - Alfonso Lagares
- Department of Neurosurgery Universidad Complutense Madrid Spain
| | - Santiago Cepeda
- Department of Neurosurgery Universidad Complutense Madrid Spain
- Department of Neurosurgery Hospital Universitario Rio Hortega Valladolid Spain
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Predictive effects of admission white blood cell counts and hounsfield unit values on delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage. Clin Neurol Neurosurg 2021; 212:107087. [PMID: 34929583 DOI: 10.1016/j.clineuro.2021.107087] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 11/23/2021] [Accepted: 12/04/2021] [Indexed: 11/20/2022]
Abstract
OBJECTIVE Neuroinflammatory response is deemed the primary pathogenesis of delayed cerebral ischemia (DCI) caused by aneurysmal subarachnoid hemorrhage (aSAH). Both white blood cell (WBC) count and Hounsfield Unit (HU) are gradually considered can reflect inflammation in DCI. This study aims to identify the relationship between WBC count and HU value and investigate the effects of both indicators in predicting DCI after aSAH. METHODS We enrolled 109 patients with aSAH admitted within 24 h of onset in our study. A multivariate logistic regression analysis was used to evaluate the admission WBC count, HU value, and combined WBC-HU associated with DCI. The receiver operating characteristic curve and area under the curve (AUC) were used to determine thresholds and detect the predictive ability of these predictors. These indicators were also compared with the established inflammation markers. RESULTS Thirty-six (33%) patients developed DCI. Both WBC count and HU value were strongly associated with the admission glucose level (ρ = .303, p = .001; ρ = .273, p = .004), World Federation of Neurosurgical Societies grade (ρ = .452, p < .001; ρ = .578; p < .001), Hunt-Hess grade (ρ = .450, p < .001; ρ = .510, p < .001), and modified Fisher scale score (ρ = .357, p < .001; ρ = .330, p < .001). After controlling these public variables, WBC count (ρ = .300, p = .002) positively correlated with HU value. An early elevated WBC (odds ratio [OR] 1.449, 95% confidence interval [CI]: 1.183-1.774, p < .001) count and HU value (OR 1.304, 95%CI: 1.149-1.479, p < .001) could independently predict the occurrence of DCI. However, only these patients with both WBC count and HU value exceeding the cut-off points (OR 36.89, 95%CI: 5.606-242.78, p < .001) were strongly correlated with DCI. Compared with a single WBC count (AUC 0.811, 95%CI: 0.729-0.892, p < .001) or HU value (AUC 0.869, 95%CI: 0.803-0.936, p < .001), the combined WBC-HU (AUC 0.898, 95%CI: 0.839-0.957, p < .001) demonstrated a better ability to predict the occurrence of DCI. Inspiringly, the prediction performance of these indicators outperformed the established inflammatory markers. CONCLUSION An early elevated WBC count and HU value could independently predict DCI occurrence between 4 and 30 days after aSAH. Furthermore, WBC count was positively correlated with HU value, and the combined WBC-HU demonstrated a superior prediction ability for DCI development compared with the individual indicator.
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Munarriz PM, Navarro-Main B, Alén JF, Jiménez-Roldán L, Castaño-Leon AM, Moreno-Gómez LM, Paredes I, García-Pérez D, Panero I, Eiriz C, Esteban-Sinovas O, Bárcena E, Gómez PA, Lagares A. The influence of aneurysm morphology on the volume of hemorrhage after rupture. J Neurosurg 2021; 136:1015-1023. [PMID: 34534958 DOI: 10.3171/2021.3.jns21293] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 03/19/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Factors determining the risk of rupture of intracranial aneurysms have been extensively studied; however, little attention is paid to variables influencing the volume of bleeding after rupture. In this study the authors aimed to evaluate the impact of aneurysm morphological variables on the amount of hemorrhage. METHODS This was a retrospective cohort analysis of a prospectively collected data set of 116 patients presenting at a single center with subarachnoid hemorrhage due to aneurysmal rupture. A volumetric assessment of the total hemorrhage volume was performed from the initial noncontrast CT. Aneurysms were segmented and reproduced from the initial CT angiography study, and morphology indexes were calculated with a computer-assisted approach. Clinical and demographic characteristics of the patients were included in the study. Factors influencing the volume of hemorrhage were explored with univariate correlations, multiple linear regression analysis, and graphical probabilistic modeling. RESULTS The univariate analysis demonstrated that several of the morphological variables but only the patient's age from the clinical-demographic variables correlated (p < 0.05) with the volume of bleeding. Nine morphological variables correlated positively (absolute height, perpendicular height, maximum width, sac surface area, sac volume, size ratio, bottleneck factor, neck-to-vessel ratio, and width-to-vessel ratio) and two correlated negatively (parent vessel average diameter and the aneurysm angle). After multivariate analysis, only the aneurysm size ratio (p < 0.001) and the patient's age (p = 0.023) remained statistically significant. The graphical probabilistic model confirmed the size ratio and the patient's age as the variables most related to the total hemorrhage volume. CONCLUSIONS A greater aneurysm size ratio and an older patient age are likely to entail a greater volume of bleeding after subarachnoid hemorrhage.
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Affiliation(s)
- Pablo M Munarriz
- 1Department of Neurosurgery, Hospital Universitario 12 de Octubre.,2Universidad Complutense de Madrid
| | | | - Jose F Alén
- 2Universidad Complutense de Madrid.,3Department of Neurosurgery, Hospital Universitario La Princesa; and
| | | | | | | | - Igor Paredes
- 1Department of Neurosurgery, Hospital Universitario 12 de Octubre
| | | | - Irene Panero
- 1Department of Neurosurgery, Hospital Universitario 12 de Octubre
| | - Carla Eiriz
- 1Department of Neurosurgery, Hospital Universitario 12 de Octubre
| | | | - Eduardo Bárcena
- 4Department of Radiology, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Pedro A Gómez
- 1Department of Neurosurgery, Hospital Universitario 12 de Octubre
| | - Alfonso Lagares
- 1Department of Neurosurgery, Hospital Universitario 12 de Octubre.,2Universidad Complutense de Madrid
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Bae IS, Chun HJ, Choi KS, Yi HJ. Modified Glasgow coma scale for predicting outcome after subarachnoid hemorrhage surgery. Medicine (Baltimore) 2021; 100:e25815. [PMID: 34106620 PMCID: PMC8133269 DOI: 10.1097/md.0000000000025815] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Accepted: 04/13/2021] [Indexed: 11/26/2022] Open
Abstract
There are many grading scales that attempt to predict outcome following aneurysmal subarachnoid hemorrhage (aSAH). Most scales used to assess outcome are based on the neurological status of the patient. Here, we propose a new scale for aSAH patients that combines the Glasgow Coma Scale (GCS) and the modified Fisher scale (mFS).Five hundred ninety-seven patients with aSAH who were treated at our institution between January 2008 and December 2017 were retrospectively analyzed. Initial GCS score, Hunt and Hess scale, World Federation of Neurosurgical Societies scale, mFS, and modified Rankin Scale were obtained by reviewing data. Incidence of vasospasm was investigated. Factors found to be significant on a multivariable regression analysis were used to develop a scale that was compared with other grading systems using the area under the curve (AUC) calculated from receiver operating characteristic curve.The GCS score and mFS were related to outcomes in patients with aSAH. A simple score, which we call the GCS-F score, was calculated using these initial data. The GCS-F score had an AUC of 90.5% for unfavorable outcome prediction, and 88.4% for in-hospital mortality prediction. On the receiver operating characteristic curve analysis for vasospasm, the AUC for World Federation of Neurosurgical Societies, mFS and GCS-F scores were 0.912, 0.704, and 0.936, respectively.A simple arithmetic combination of the GCS score and mFS, the GCS-F score, includes the radiographic status as well as the clinical status of the patient, so that the state of the patient can be known in more detail than other single scales. The GCS-F score may be a useful scale for predicting outcome and the occurrence of vasospasm in patients with aSAH.
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Affiliation(s)
- In-Suk Bae
- Department of Neurosurgery, Nowon Eulji Medical Center, Eulji University, Nowon-gu
| | - Hyoung-Joon Chun
- Department of Neurosurgery, Hanyang University Medical Center, Seoul, Korea
| | - Kyu-Sun Choi
- Department of Neurosurgery, Hanyang University Medical Center, Seoul, Korea
| | - Hyeong-Joong Yi
- Department of Neurosurgery, Hanyang University Medical Center, Seoul, Korea
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9
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When the Blood Hits Your Brain: The Neurotoxicity of Extravasated Blood. Int J Mol Sci 2021; 22:ijms22105132. [PMID: 34066240 PMCID: PMC8151992 DOI: 10.3390/ijms22105132] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 04/30/2021] [Accepted: 05/06/2021] [Indexed: 12/15/2022] Open
Abstract
Hemorrhage in the central nervous system (CNS), including intracerebral hemorrhage (ICH), intraventricular hemorrhage (IVH), and aneurysmal subarachnoid hemorrhage (aSAH), remains highly morbid. Trials of medical management for these conditions over recent decades have been largely unsuccessful in improving outcome and reducing mortality. Beyond its role in creating mass effect, the presence of extravasated blood in patients with CNS hemorrhage is generally overlooked. Since trials of surgical intervention to remove CNS hemorrhage have been generally unsuccessful, the potent neurotoxicity of blood is generally viewed as a basic scientific curiosity rather than a clinically meaningful factor. In this review, we evaluate the direct role of blood as a neurotoxin and its subsequent clinical relevance. We first describe the molecular mechanisms of blood neurotoxicity. We then evaluate the clinical literature that directly relates to the evacuation of CNS hemorrhage. We posit that the efficacy of clot removal is a critical factor in outcome following surgical intervention. Future interventions for CNS hemorrhage should be guided by the principle that blood is exquisitely toxic to the brain.
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10
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Daou BJ, Khalsa SSS, Anand SK, Williamson CA, Cutler NS, Aaron BL, Srinivasan S, Rajajee V, Sheehan K, Pandey AS. Volumetric quantification of aneurysmal subarachnoid hemorrhage independently predicts hydrocephalus and seizures. J Neurosurg 2021; 135:1155-1163. [PMID: 33545677 DOI: 10.3171/2020.8.jns201273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 08/10/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Hydrocephalus and seizures greatly impact outcomes of patients with aneurysmal subarachnoid hemorrhage (aSAH); however, reliable tools to predict these outcomes are lacking. The authors used a volumetric quantitative analysis tool to evaluate the association of total aSAH volume with the outcomes of shunt-dependent hydrocephalus and seizures. METHODS Total hemorrhage volume following aneurysm rupture was retrospectively analyzed on presentation CT imaging using a custom semiautomated computer program developed in MATLAB that employs intensity-based k-means clustering to automatically separate blood voxels from other tissues. Volume data were added to a prospectively maintained aSAH database. The association of hemorrhage volume with shunted hydrocephalus and seizures was evaluated through logistic regression analysis and the diagnostic accuracy through analysis of the area under the receiver operating characteristic curve (AUC). RESULTS The study population comprised 288 consecutive patients with aSAH. The mean total hemorrhage volume was 74.9 ml. Thirty-eight patients (13.2%) developed seizures. The mean hemorrhage volume in patients who developed seizures was significantly higher than that in patients with no seizures (mean difference 17.3 ml, p = 0.01). In multivariate analysis, larger hemorrhage volume on initial CT scan and hemorrhage volume > 50 ml (OR 2.81, p = 0.047, 95% CI 1.03-7.80) were predictive of seizures. Forty-eight patients (17%) developed shunt-dependent hydrocephalus. The mean hemorrhage volume in patients who developed shunt-dependent hydrocephalus was significantly higher than that in patients who did not (mean difference 17.2 ml, p = 0.006). Larger hemorrhage volume and hemorrhage volume > 50 ml (OR 2.45, p = 0.03, 95% CI 1.08-5.54) were predictive of shunt-dependent hydrocephalus. Hemorrhage volume had adequate discrimination for the development of seizures (AUC 0.635) and shunted hydrocephalus (AUC 0.629). CONCLUSIONS Hemorrhage volume is an independent predictor of seizures and shunt-dependent hydrocephalus in patients with aSAH. Further evaluation of aSAH quantitative volumetric analysis may complement existing scales used in clinical practice and assist in patient prognostication and management.
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Affiliation(s)
- Badih J Daou
- 1Department of Neurosurgery, University of Michigan, Ann Arbor; and
| | | | | | | | - Noah S Cutler
- 1Department of Neurosurgery, University of Michigan, Ann Arbor; and
| | - Bryan L Aaron
- 1Department of Neurosurgery, University of Michigan, Ann Arbor; and
| | | | | | - Kyle Sheehan
- 1Department of Neurosurgery, University of Michigan, Ann Arbor; and
| | - Aditya S Pandey
- 1Department of Neurosurgery, University of Michigan, Ann Arbor; and
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11
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Ghanem MA, Elemam K, Mousa SA, Youssef MY. Cerebral Oxygenation and Metabolism in Patients Undergoing Clipping of Cerebral Aneurysm: A Comparative Study between Propofol-based total intravenous anesthesia and Sevoflurane-based inhalational anesthesia. EGYPTIAN JOURNAL OF ANAESTHESIA 2021. [DOI: 10.1080/11101849.2021.1900524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
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12
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Acute platelet response to aneurysmal subarachnoid hemorrhage depends on severity and distribution of bleeding: an observational cohort study. Neurosurg Rev 2020; 44:2647-2658. [PMID: 33241455 DOI: 10.1007/s10143-020-01444-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 10/21/2020] [Accepted: 11/18/2020] [Indexed: 12/19/2022]
Abstract
Microthrombosis after aneurysmal subarachnoid hemorrhage (aSAH) is considered to initiate neuroinflammation, vessel remodeling, and blood-brain barrier leakage. We aimed to verify the hypothesis that the intensity of thrombogenicity immediately after aSAH depends on the amount and distribution of extravasated blood. This observational cohort study included 37 consecutive aSAH patients admitted no longer than 24 h after ictus. Volumes of subarachnoid and intraventricular hemorrhages as well as the Subarachnoid Hemorrhage Early Brain Edema Scale (SEBES) score were calculated in each case. Platelet system status was described by platelet count (PLT), mean platelet volume (MPV), MPV to PLT ratio, and platelet-large cell ratio (P-LCR). Median hemorrhage volume amounted to 11.4 ml (interquartile range 2.8-26.8 ml). Patients with more severe hemorrhage had lower PLT and higher MPV to PLT ratio (ρ = - 0.49, p < .002; ρ = 0.50, p < .002, respectively). PLT decreased by 2.80 G/l per 1 ml of hemorrhage volume (95% CL 1.30-4.30, p < .001). Further analysis revealed that intraventricular hemorrhage volume was associated with P-LCR and MPV (ρ = 0.34, p < .039; ρ = 0.33, p < .048, respectively), whereas SAH volume with PLT and MPV:PLT ratio (ρ = - 0.40, p < .013; ρ = 0.41, p < .013, respectively). The odds of unfavorable neurological outcome increased 3.95 times per 1 fl of MPV (95% CI 1.19-13.12, p < .025). MPV was independently correlated with SEBES (ρ = 0.44, p < .006). This study demonstrated that the extent and distribution of aneurysmal subarachnoid hemorrhage are related to different types of acute platelet response, which may be interpreted as local and systemic thrombogenicity. Increased mean platelet volume measured in the acute phase of aSAH may identify patients at risk for unfavorable neurological outcomes and may serve as a marker of early brain injury.
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13
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The Modified Fisher Scale Lacks Interrater Reliability. Neurocrit Care 2020; 35:72-78. [PMID: 33200331 DOI: 10.1007/s12028-020-01142-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 10/27/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND The modified Fisher scale (mFS) is a critical clinical and research tool for risk stratification of cerebral vasospasm. As such, the mFS is included as a common data element by the National Institute of Neurological Disorders and Stroke SAH Working Group. There are few studies assessing the interrater reliability of the mFS. METHODS We distributed a survey to a convenience sample with snowball sampling of practicing neurointensivists and through the research survey portion of the Neurocritical Care Society Web site. The survey consisted of 15 scrollable CT scans of patients with SAH for mFS grading, two questions regarding the definitions of the scale criteria and demographics of the responding physician. Kendall's coefficient of concordance was used to determine the interrater reliability of mFS grading. RESULTS Forty-six participants (97.8% neurocritical care fellowship trained, 78% UCNS-certified in neurocritical care, median 5 years (IQR 3-6.3) in practice, treating median of 80 patients (IQR 50-100) with SAH annually from 32 institutions) completed the survey. By mFS criteria, 30% correctly identified that there is no clear measurement of thin versus thick blood, and 42% correctly identified that blood in any ventricle is scored as "intraventricular blood." The overall interrater reliability by Kendall's coefficient of concordance for the mFS was moderate (W = 0.586, p < 0.0005). CONCLUSIONS Agreement among raters in grading the mFS is only moderate. Online training tools could be developed to improve mFS reliability and standardize research in SAH.
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14
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Ya X, Zhang C, Liu J, Zhang S, Zhang Q, Wang S, Cao Y, Zhao J. Risk Factors for Higher Volume of Hemorrhage in Ruptured Anterior Circulation Intracranial Aneurysms. Front Surg 2020; 7:587790. [PMID: 33282906 PMCID: PMC7688892 DOI: 10.3389/fsurg.2020.587790] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 10/06/2020] [Indexed: 11/13/2022] Open
Abstract
Purpose: To explore the influencing factors of volume hemorrhage in ruptured anterior circulation aneurysms, so as to identify the characteristics of anterior circulation aneurysms with high volume of hemorrhage, and to provide advice for clinical diagnosis and treatment for those aneurysms. Methods: We retrospectively reviewed 437 cases of ruptured anterior intracranial aneurysms in our center between the years 2012 and 2017. According to the inclusion criteria, a total of 100 qualified patients were screened out. We collected demographic characteristics, environmental exposure, and admission status of enrolled patients. In addition, morphological parameters and location of aneurysms were also included. The semiautomatic threshold method was used to measure the volume of hemorrhage. According to the results, the patients were divided into the group with high blood volume and low blood volume. Univariate and multivariate logistic regression analyses were used to discover the related factors affecting the bleeding volume. Results: In univariable analysis, pulse pressure (P = 0.014) showed a significant difference at the P < 0.05 test level. In terms of aneurysm morphology, the irregular shape (P < 0.001), calcification (P = 0.001), and flow angle (P = 0.006) showed significant statistical differences between the two groups at the P < 0.01 level (P < 0.01). Multivariate logistic regression analysis showed that irregular shape (OR = 5.370 P = 0.002 < 0.05), large flow angle (OR = 1.033 P = 0.016 < 0.05), and calcification (OR = 5.460 P = 0.003 < 0.05) were risk factors for volume of hemorrhage in ruptured anterior circulation aneurysms. The influence of hypertension history was at critical state (OR = 2.877 P = 0.051 > 005). Conclusions: According to our analysis results, intracranial anterior circulation aneurysms with irregular shapes, calcifications, and large flow angle are more dangerous. Aneurysms with these characteristics often have a large amount of hemorrhage, requiring timely treatment in clinical practice.
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Affiliation(s)
- Xiaolong Ya
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chaoqi Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jichao Liu
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shuo Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qian Zhang
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shuo Wang
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yong Cao
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jizong Zhao
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,National Clinical Research Center for Neurological Diseases, Beijing, China
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15
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Neurostereologic Lesion Volumes and Spreading Depolarizations in Severe Traumatic Brain Injury Patients: A Pilot Study. Neurocrit Care 2020; 30:557-568. [PMID: 30972614 DOI: 10.1007/s12028-019-00692-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
BACKGROUND Spreading depolarizations (SDs) occur in 50-60% of patients after surgical treatment of severe traumatic brain injury (TBI) and are independently associated with unfavorable outcomes. Here we performed a pilot study to examine the relationship between SDs and various types of intracranial lesions, progression of parenchymal damage, and outcomes. METHODS In a multicenter study, fifty patients (76% male; median age 40) were monitored for SD by continuous electrocorticography (ECoG; median duration 79 h) following surgical treatment of severe TBI. Volumes of hemorrhage and parenchymal damage were estimated using unbiased stereologic assessment of preoperative, postoperative, and post-ECoG serial computed tomography (CT) studies. Neurologic outcomes were assessed at 6 months by the Glasgow Outcome Scale-Extended. RESULTS Preoperative volumes of subdural and subarachnoid hemorrhage, but not parenchymal damage, were significantly associated with the occurrence of SDs (P's < 0.05). Parenchymal damage increased significantly (median 34 ml [Interquartile range (IQR) - 2, 74]) over 7 (5, 8) days from preoperative to post-ECoG CT studies. Patients with and without SDs did not differ in extent of parenchymal damage increase [47 ml (3, 101) vs. 30 ml (- 2, 50), P = 0.27], but those exhibiting the isoelectric subtype of SDs had greater initial parenchymal damage and greater increases than other patients (P's < 0.05). Patients with temporal clusters of SDs (≥ 3 in 2 h; n = 10 patients), which included those with isoelectric SDs, had worse outcomes than those without clusters (P = 0.03), and parenchymal damage expansion also correlated with worse outcomes (P = 0.01). In multivariate regression with imputation, both clusters and lesion expansion were significant outcome predictors. CONCLUSIONS These results suggest that subarachnoid and subdural blood are important primary injury factors in provoking SDs and that clustered SDs and parenchymal lesion expansion contribute independently to worse patient outcomes. These results warrant future prospective studies using detailed quantification of TBI lesion types to better understand the relationship between anatomic and physiologic measures of secondary injury.
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16
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Liotta EM, Karmarkar A, Batra A, Kim M, Prabhakaran S, Naidech AM, Maas MB. Magnesium and Hemorrhage Volume in Patients With Aneurysmal Subarachnoid Hemorrhage. Crit Care Med 2020; 48:104-110. [PMID: 31688193 PMCID: PMC7008932 DOI: 10.1097/ccm.0000000000004079] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVES We tested the hypothesis that admission serum magnesium levels are associated with extent of hemorrhage in patients with aneurysmal subarachnoid hemorrhage. DESIGN Single-center prospective observational study. SETTING Tertiary hospital neurologic ICU. PATIENTS Patients with aneurysmal subarachnoid hemorrhage. INTERVENTIONS Clinically indicated CT scans and serum laboratory studies. MEASUREMENTS AND MAIN RESULTS Demographic, clinical, laboratory, and radiographic data were analyzed. Extent of initial hemorrhage was graded semi-quantitatively on admission CT scans using the modified Fisher scale (grades: 0, no radiographic hemorrhage; 1, thin [< 1 mm in depth] subarachnoid hemorrhage; 2, thin subarachnoid hemorrhage with intraventricular hemorrhage; 3, thick [≥ 1 mm] subarachnoid hemorrhage; 4, thick subarachnoid hemorrhage with intraventricular hemorrhage). We used both ordinal (modified Fisher scale) and dichotomized (thick vs thin subarachnoid hemorrhage) univariate and adjusted logistic regression models to assess associations between serum magnesium and radiographic subarachnoid hemorrhage severity. Data from 354 patients (mean age 55 ± 14 yr, 28.5% male, median admission Glasgow Coma Scale 14 [10-15]) were analyzed. Mean magnesium was lower in patients with thick versus thin subarachnoid hemorrhage (1.92 vs 1.99 mg/dL; p = 0.022). A monotonic trend across categories of modified Fisher scale was found using analysis of variance and Spearman rank correlation (p = 0.015 and p = 0.008, respectively). In adjusted ordinal and binary regression models, lower magnesium levels were associated with higher modified Fisher scale (odds ratio 0.33 per 1 mg/dL increase; 95% CI, 0.14-0.77; p = 0.011) and with thick subarachnoid hemorrhage (odds ratio 0.29 per 1 mg/dL increase; 95% CI, 0.10-0.78; p = 0.015). CONCLUSIONS These data support the hypothesis that magnesium influences hemorrhage severity in patients with aneurysmal subarachnoid hemorrhage, potentially through a hemostatic mechanism.
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Affiliation(s)
- Eric M. Liotta
- Department of Neurology, Northwestern University, Chicago, IL
| | | | - Ayush Batra
- Department of Neurology, Northwestern University, Chicago, IL
| | - Minjee Kim
- Department of Neurology, Northwestern University, Chicago, IL
| | | | | | - Matthew B. Maas
- Department of Neurology, Northwestern University, Chicago, IL
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17
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Association of Cerebrospinal Fluid Volume with Cerebral Vasospasm After Aneurysmal Subarachnoid Hemorrhage: A Retrospective Volumetric Analysis. Neurocrit Care 2019; 33:152-164. [PMID: 31773545 DOI: 10.1007/s12028-019-00878-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
BACKGROUND In aneurysmal subarachnoid hemorrhage (SAH), clot volume has been shown to correlate with the development of radiographic vasospasm (VS), while the role of cerebrospinal fluid (CSF) volume remains largely elusive in the literature. We evaluated CSF volume as a potential surrogate for VS in addition to SAH volume in this retrospective series. PATIENTS AND METHODS From a consecutive cohort of aneurysmal SAH (n= 320), cases were included when angiographic evaluation for VS was performed (n= 125). SAH and CSF volumes were volumetrically quantified using an algorithm-assisted segmentation approach on initial computed tomography after ictus. Association with VS was analyzed using regression analysis. Receiver operating characteristic (ROC) curves were used to evaluate predictive accuracy of volumetric measures for VS and to identify cutoffs for risk stratification. RESULTS Among 125 included cases, angiography showed VS in 101 (VS+), while no VS was observed in 24 (VS-) cases. In volumetric analysis, mean SAH volume was significantly larger (26.8 ± 21.1 ml vs. 12.6 ± 12.2 ml, p= 0.001), while mean CSF volume was significantly smaller (63.0 ± 31.2 ml vs. 85.7 ± 62.8, p= 0.03) in VS+ compared to VS- cases, respectively. The absence of correlation for SAH and CSF volumes (Pearson R - 0.05, p= 0.58) indicated independence of both measures of the subarachnoid compartment, which was a prerequisite for CSF to act as a new surrogate for VS not related to SAH. Regression analysis confirmed an increased risk of VS with increasing SAH (OR 1.06, 95% CI 1.02-1.11, p= 0.006), while CSF had a protective effect toward VS (OR 0.99, 95% CI 0.98-0.99, p= 0.02). SAH/CSF ratio was also associated with VS (OR 1.03, 95% CI 1.01-1.05, p= 0.015). ROC curves suggested cutoffs at 120 ml CSF and 20 ml SAH for VS stratification. Combination of variables improved stratification accuracy compared to use of SAH alone. CONCLUSION This study provides a proof of concept for CSF correlating with angiographic VS after aneurysmal SAH. Quantification of CSF in conjunction with SAH might enhance risk stratification and exhibit advantages over traditional scores. The association of CSF has to be corroborated for delayed cerebral ischemia to further establish CSF as a surrogate parameter.
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18
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Griffiths S, Clark J, Adamides AA, Ziogas J. The role of haptoglobin and hemopexin in the prevention of delayed cerebral ischaemia after aneurysmal subarachnoid haemorrhage: a review of current literature. Neurosurg Rev 2019; 43:1273-1288. [PMID: 31493061 DOI: 10.1007/s10143-019-01169-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 07/23/2019] [Accepted: 08/26/2019] [Indexed: 01/01/2023]
Abstract
Delayed cerebral ischaemia (DCI) after aneurysmal subarachnoid haemorrhage (aSAH) is a major cause of mortality and morbidity. The pathophysiology of DCI after aSAH is thought to involve toxic mediators released from lysis of red blood cells within the subarachnoid space, including free haemoglobin and haem. Haptoglobin and hemopexin are endogenously produced acute phase proteins that are involved in the clearance of these toxic mediators. The aim of this review is to investigate the pathophysiological mechanisms involved in DCI and the role of both endogenous as well as exogenously administered haptoglobin and hemopexin in the prevention of DCI.
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Affiliation(s)
- Sean Griffiths
- Department of Neurosurgery, Royal Melbourne Hospital, 300 Grattan St, Parkville, 3050, Australia. .,Western Hospital, 160 Gordon St, Footscray, 3011, Australia.
| | - Jeremy Clark
- Department of Neurosurgery, Royal Melbourne Hospital, 300 Grattan St, Parkville, 3050, Australia
| | - Alexios A Adamides
- Department of Neurosurgery, Royal Melbourne Hospital, 300 Grattan St, Parkville, 3050, Australia
| | - James Ziogas
- Department of Pharmacology and Therapeutics, University of Melbourne, Parkville, 3010, Australia
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Kanazawa T, Takahashi S, Minami Y, Jinzaki M, Toda M, Yoshida K. Early prediction of clinical outcomes in patients with aneurysmal subarachnoid hemorrhage using computed tomography texture analysis. J Clin Neurosci 2019; 71:144-149. [PMID: 31493994 DOI: 10.1016/j.jocn.2019.08.098] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Accepted: 08/25/2019] [Indexed: 10/26/2022]
Abstract
Radiological evaluation of subarachnoid hemorrhage (SAH) is often subject to interobserver variability. The aim of this study was to retrospectively detect computed tomography (CT) texture parameters in the early postictal state to predict cerebral vasospasm, delayed cerebral ischemia (DCI), and functional outcome in aneurysmal SAH using quantitative CT texture analysis (CTTA) via a commercially available software program and routine CT images. 40 patients with aneurysmal SAH surgically treated at the Keio University Hospital during a four-year period were analyzed. CT texture analyses were performed using a commercially available software program (Synapse Vincent). The following texture parameters of blood clots in the subarachnoid space and cerebral edema were assessed: mean CT value, entropy, skewness, and kurtosis. The mean CT value of blood clots in the subarachnoid space was significantly associated with cerebral vasospasm, DCI, and functional outcome. The mean CT value ≥ 49.64 Hounsfield units (HU) predicted cerebral vasospasm with a sensitivity and specificity of 85.7% and 61.5%, respectively (area under the curve [AUC] = 0.758). The mean CT value ≥ 49.95 HU predicted DCI with a sensitivity and specificity of 100% and 60.6%, respectively (AUC = 0.810). The mean CT value ≥ 53.00 HU predicted poor functional outcome with a sensitivity and specificity of 56.3% and 91.7%, respectively (AUC = 0.747). CTTA using a commercially available software program demonstrated that the mean CT value of clots in the subarachnoid space in the early postictal state could predict vasospasm, DCI, and clinical outcome with a high sensitivity and specificity.
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Affiliation(s)
- Tokunori Kanazawa
- Department of Neurosurgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
| | - Satoshi Takahashi
- Department of Neurosurgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Yasuhiro Minami
- Department of Diagnostic Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Masahiro Jinzaki
- Department of Diagnostic Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Masahiro Toda
- Department of Neurosurgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Kazunari Yoshida
- Department of Neurosurgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
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Predictors for Functional Outcome in Patients with Aneurysmal Subarachnoid Hemorrhage Who Completed In-Hospital Rehabilitation in a Single Institution. J Stroke Cerebrovasc Dis 2019; 28:1943-1950. [DOI: 10.1016/j.jstrokecerebrovasdis.2019.03.042] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 02/21/2019] [Accepted: 03/16/2019] [Indexed: 11/24/2022] Open
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21
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Zheng J, Xu R, Guo Z, Sun X. Small ruptured intracranial aneurysms: the risk of massive bleeding and rebleeding. Neurol Res 2019; 41:312-318. [PMID: 30638157 DOI: 10.1080/01616412.2018.1563737] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
OBJECTIVE The risk of hemorrhagic events in small ruptured aneurysms remains unclear. Due to less arterial wall, small ruptured aneurysms may be correlated with massive bleeding and rebleeding. Therefore, it may contribute to treatment to evaluate the amount of bleeding and the risk of rebleeding in small ruptured aneurysms. METHODS A retrospective cohort study of all consecutive patients with intracranial aneurysms admitted to our hospital from February 2013 to December 2017 was carried out. Ruptured aneurysms were divided into small ruptured aneurysm (0-5 mm) group and large ruptured aneurysm (5 mm) group for analysis. The difference of bleeding volume, rebleeding and clinical outcome were analyzed between the two groups. RESULTS A total of 738 patients with aneurysmal subarachnoid hemorrhage (SAH) were included in this study and small ruptured aneurysms accounted for 49.2% of all ruptured aneurysms. Univariate analysis showed that the amount of bleeding (14.5 ± 7.1 vs. 14.4 ± 7.3; P = 0.867), rebleeding (8.3% vs. 10.9%; P = 0.261) and poor outcome (29.6% vs. 23.1%; P = 0.055) were similar between the two groups. Multivariable analysis showed that hypertension was obviously associated with the amount of bleeding (adjusted odds ratio (aOR), 3.25 [1.81-4.69]; P < 0.001) and rebleeding (aOR, 3.31 [1.10-9.99]; P = 0.034) in small ruptured aneurysms, and its effect on rebleeding of small ruptured aneurysms is greater than that of large ruptured aneurysms. CONCLUSIONS The risk of hemorrhagic events in small ruptured aneurysms is similar to that in large ruptured aneurysms, especially those patients with small ruptured aneurysms that complicated with hypertension are at an increased risk of massive SAH and rebleeding.
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Affiliation(s)
- Jianfeng Zheng
- a Department of Neurosurgery , The First Affiliated Hospital of Chongqing Medical University , Chongqing , China
| | - Rui Xu
- a Department of Neurosurgery , The First Affiliated Hospital of Chongqing Medical University , Chongqing , China
| | - Zongduo Guo
- a Department of Neurosurgery , The First Affiliated Hospital of Chongqing Medical University , Chongqing , China
| | - Xiaochuan Sun
- a Department of Neurosurgery , The First Affiliated Hospital of Chongqing Medical University , Chongqing , China
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22
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Eriksen N, Rostrup E, Fabricius M, Scheel M, Major S, Winkler MKL, Bohner G, Santos E, Sakowitz OW, Kola V, Reiffurth C, Hartings JA, Vajkoczy P, Woitzik J, Martus P, Lauritzen M, Pakkenberg B, Dreier JP. Early focal brain injury after subarachnoid hemorrhage correlates with spreading depolarizations. Neurology 2018; 92:e326-e341. [PMID: 30593517 DOI: 10.1212/wnl.0000000000006814] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Accepted: 09/11/2018] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE To investigate whether spreading depolarization (SD)-related variables at 2 different time windows (days 1-4 and 5-8) after aneurysmal subarachnoid hemorrhage (aSAH) correlate with the stereologically determined volume of early focal brain injury on the preinterventional CT scan. METHODS In this observational multicenter study of 54 patients, volumes of unaffected brain tissue, ventricles, cerebellum, aSAH, intracerebral hemorrhage, and focal parenchymal hypodensity were stereologically estimated. Patients were electrocorticographically monitored using subdural electrodes for 81.8 hours (median) (interquartile range: 70.6-90.5) during days 1-4 (n = 54) and for 75.9 (59.5-88.7) hours during days 5-8 (n = 51). Peak total SD-induced depression duration of a recording day (PTDDD) and peak numbers of (1) SDs, (2) isoelectric SDs, and (3) spreading depressions of a recording day were determined following the recommendations of the Co-Operative Studies on Brain Injury Depolarizations. RESULTS Thirty-three of 37 patients with early focal brain injury (intracerebral hemorrhage and/or hypodensity) in contrast to 7 of 17 without displayed SDs during days 1-4 (sensitivity: 89% [95% confidence interval, CI: 75%-97%], specificity: 59% [CI: 33%-82%], positive predictive value: 83% [CI: 67%-93%], negative predictive value: 71% [CI: 42%-92%], Fisher exact test, p < 0.001). All 4 SD-related variables during days 1-4 significantly correlated with the volume of early focal brain injury (Spearman rank order correlations). A multiple ordinal regression analysis identified the PTDDD as the most important predictor. CONCLUSIONS Our findings suggest that early focal brain injury after aSAH is associated with early SDs and further support the notion that SDs are a biomarker of focal brain lesions.
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Affiliation(s)
- Nina Eriksen
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany
| | - Egill Rostrup
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany
| | - Martin Fabricius
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany
| | - Michael Scheel
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany
| | - Sebastian Major
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany
| | - Maren K L Winkler
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany
| | - Georg Bohner
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany
| | - Edgar Santos
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany
| | - Oliver W Sakowitz
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany
| | - Vasilis Kola
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany
| | - Clemens Reiffurth
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany
| | - Jed A Hartings
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany
| | - Peter Vajkoczy
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany
| | - Johannes Woitzik
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany
| | - Peter Martus
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany
| | - Martin Lauritzen
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany
| | - Bente Pakkenberg
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany
| | - Jens P Dreier
- From the Research Laboratory for Stereology and Neuroscience, Bispebjerg-Frederiksberg Hospital (N.E., B.P.), University of Copenhagen; Departments of Clinical Physiology and Nuclear Medicine (E.R.) and Clinical Neurophysiology (M.F., M.L.), Rigshospitalet, University of Copenhagen, Denmark; Department of Neuroradiology (M.S., G.B.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Center for Stroke Research Berlin (S.M., M.K.L.W., V.K., C.R., P.V., J.W., J.P.D.) and Departments of Experimental Neurology (S.M., C.R., J.P.D.), Neurology (S.M., J.P.D.), and Neurosurgery (P.V., J.W.), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurosurgery (E.S., O.W.S.), University Hospital Heidelberg, Ruprecht Karls University Heidelberg; Neurosurgery Center Ludwigsburg-Heilbronn (O.W.S.), RKH Klinikum Ludwigsburg, Germany; UC Gardner Neuroscience Institute (J.A.H.) and Department of Neurosurgery (J.A.H.), University of Cincinnati (UC) College of Medicine, OH; Institute for Clinical Epidemiology and Applied Biostatistics (P.M.), University of Tübingen, Germany; Department of Neuroscience and Center for Healthy Aging, Panum Institute (M.L.), and Faculty of Health and Medical Sciences (B.P.), University of Copenhagen, Denmark; Bernstein Center for Computational Neuroscience Berlin (J.P.D.), Berlin; and Einstein Center for Neurosciences Berlin (J.P.D.), Germany.
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23
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García S, Torné R, Hoyos JA, Rodríguez-Hernández A, Amaro S, Llull L, López-Rueda A, Enseñat J. Quantitative versus qualitative blood amount assessment as a predictor for shunt-dependent hydrocephalus following aneurysmal subarachnoid hemorrhage. J Neurosurg 2018; 131:1743-1750. [PMID: 30579275 DOI: 10.3171/2018.7.jns18816] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Accepted: 07/19/2018] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Reliable tools are lacking to predict shunt-dependent hydrocephalus (SDHC) development after aneurysmal subarachnoid hemorrhage (aSAH). Quantitative volumetric measurement of hemorrhagic blood is a good predictor of SDHC but might be impractical in the clinical setting. Qualitative assessment performed using scales such as the modified Fisher scale (mFisher) and the original Graeb scale (oGraeb) is easier to conduct but provides limited predictive power. In between, the modified Graeb scale (mGraeb) keeps the simplicity of the qualitative scales yet adds assessment of acute hydrocephalus, which might improve SDHC-predicting capabilities. In this study the authors investigated the likely capabilities of the mGraeb and compared them with previously validated methods. This research also aimed to define a tailored mGraeb cutoff point for SDHC prediction. METHODS The authors performed retrospective analysis of patients admitted to their institution with the diagnosis of aSAH between May 2013 and April 2016. Out of 168 patients, 78 were included for analysis after the application of predefined exclusion criteria. Univariate and multivariate analyses were conducted to evaluate the use of all 4 methods (quantitative volumetric assessment and the mFisher, oGraeb, and mGraeb scales) to predict the likelihood of SDHC development based on clinical data and blood amount assessment on initial CT scans. RESULTS The mGraeb scale was demonstrated to be the most robust predictor of SDHC, with an area under the curve (AUC) of 0.848 (95% CI 0.763-0.933). According to the AUC results, the performance of the mGraeb scale was significantly better than that of the oGraeb scale (χ2 = 4.49; p = 0.034) and mFisher scale (χ2 = 7.21; p = 0.007). No statistical difference was found between the AUCs of the mGraeb and the quantitative volumetric measurement models (χ2 = 12.76; p = 0.23), but mGraeb proved to be the simplest model since it showed the lowest Akaike information criterion (66.4), the lowest Bayesian information criterion (71.2), and the highest R2Nagelkerke coefficient (39.7%). The initial mGraeb showed more than 85% specificity for predicting the development of SDHC in patients presenting with a score of 12 or more points. CONCLUSIONS According to the authors' data, the mGraeb scale is the simplest model that correlates well with SDHC development. Due to limited scientific evidence of treatments aimed at SDHC prevention, we propose an mGraeb score higher than 12 to identify patients at risk with high specificity. This mGraeb cutoff point might also serve as a useful prognostic tool since patients with SDHC after aSAH have worse functional outcomes.
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Affiliation(s)
- Sergio García
- 1Department of Neurological Surgery, Hospital Clinic de Barcelona, University of Barcelona
| | - Ramon Torné
- 1Department of Neurological Surgery, Hospital Clinic de Barcelona, University of Barcelona
| | - Jhon Alexander Hoyos
- 1Department of Neurological Surgery, Hospital Clinic de Barcelona, University of Barcelona
| | | | - Sergio Amaro
- 3Comprehensive Stroke Center, Department of Neurology, Hospital Clinic de Barcelona, University of Barcelona and August Pi I Sunyer Biomedical Research Institute (IDIBAPS); and
| | - Laura Llull
- 3Comprehensive Stroke Center, Department of Neurology, Hospital Clinic de Barcelona, University of Barcelona and August Pi I Sunyer Biomedical Research Institute (IDIBAPS); and
| | - Antonio López-Rueda
- 4Department of Radiology, Hospital Clinic de Barcelona, University of Barcelona, Barcelona, Spain
| | - Joaquim Enseñat
- 1Department of Neurological Surgery, Hospital Clinic de Barcelona, University of Barcelona
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24
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Santucci JA, Ross SR, Greenert JC, Aghaei F, Ford L, Hollabaugh KM, Cornwell BO, Wu DH, Zheng B, Bohnstedt BN, Ray B. Radiological Estimation of Intracranial Blood Volume and Occurrence of Hydrocephalus Determines Stress-Induced Hyperglycemia After Aneurysmal Subarachnoid Hemorrhage. Transl Stroke Res 2018; 10:10.1007/s12975-018-0646-7. [PMID: 29992443 DOI: 10.1007/s12975-018-0646-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Revised: 06/22/2018] [Accepted: 07/02/2018] [Indexed: 12/17/2022]
Abstract
Acute phase after aneurysmal subarachnoid hemorrhage (aSAH) is associated with several metabolic derangements including stress-induced hyperglycemia (SIH). The present study is designed to identify objective radiological determinants for SIH to better understand its contributory role in clinical outcomes after aSAH. A computer-aided detection tool was used to segment admission computed tomography (CT) images of aSAH patients to estimate intracranial blood and cerebrospinal fluid volumes. Modified Graeb score (mGS) was used as a semi-quantitative measure to estimate degree of hydrocephalus. The relationship between glycemic gap (GG) determined SIH, mGS, and estimated intracranial blood and cerebrospinal fluid volumes were evaluated using linear regression. Ninety-four [94/187 (50.3%)] among the study cohort had SIH (defined as GG > 26.7 mg/dl). Patients with SIH had 14.3 ml/1000 ml more intracranial blood volume as compared to those without SIH [39.6 ml (95% confidence interval, CI, 33.6 to 45.5) vs. 25.3 ml (95% CI 20.6 to 29.9), p = 0.0002]. Linear regression analysis of mGS with GG showed each unit increase in mGS resulted in 1.2 mg/dl increase in GG [p = 0.002]. Patients with SIH had higher mGS [median 4.0, interquartile range, IQR 2.0-7.0] as compared to those without SIH [median 2.0, IQR 0.0-6.0], p = 0.002. Patients with third ventricular blood on admission CT scan were more likely to develop SIH [67/118 (56.8%) vs. 27/69 (39.1%), p = 0.023]. Hence, the present study, using unbiased SIH definition and objective CT scan parameters, reports "dose-dependent" radiological features resulting in SIH. Such findings allude to a brain injury-stress response-neuroendocrine axis in etiopathogenesis of SIH.
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Affiliation(s)
- Joshua A Santucci
- Division of Critical Care Neurology, Department of Neurology, College of Medicine, The University of Oklahoma Health Sciences Center, 920 Stanton L Young Blvd; Ste 2040, Oklahoma City, OK, 73104, USA
| | - Stephen R Ross
- Division of Critical Care Neurology, Department of Neurology, College of Medicine, The University of Oklahoma Health Sciences Center, 920 Stanton L Young Blvd; Ste 2040, Oklahoma City, OK, 73104, USA
| | - John C Greenert
- Division of Critical Care Neurology, Department of Neurology, College of Medicine, The University of Oklahoma Health Sciences Center, 920 Stanton L Young Blvd; Ste 2040, Oklahoma City, OK, 73104, USA
| | - Faranak Aghaei
- Electrical Engineering, University of Oklahoma, Norman, OK, USA
| | - Lance Ford
- Epidemiology and Biostatistics, College of Public Health, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Kimberly M Hollabaugh
- Epidemiology and Biostatistics, College of Public Health, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Benjamin O Cornwell
- Radiology, College of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Dee H Wu
- Radiology, College of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Bin Zheng
- Electrical Engineering, University of Oklahoma, Norman, OK, USA
| | - Bradley N Bohnstedt
- Neurosurgery, College of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Bappaditya Ray
- Division of Critical Care Neurology, Department of Neurology, College of Medicine, The University of Oklahoma Health Sciences Center, 920 Stanton L Young Blvd; Ste 2040, Oklahoma City, OK, 73104, USA.
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25
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Neidert MC, Maldaner N, Stienen MN, Roethlisberger M, Zumofen DW, D’Alonzo D, Marbacher S, Maduri R, Hostettler IC, Schatlo B, Schneider MM, Seule MA, Schöni D, Goldberg J, Fung C, Arrighi M, Valsecchi D, Bijlenga P, Schaller K, Bozinov O, Regli L, Burkhardt JK, Fandino J, Marbacher S, D'Alonzo D, Coluccia D, Schmid N, Zumofen D, Roethlisberger M, Mariani L, Guzman R, Monsch AU, Bläsi S, Fung C, Bervini D, Beck J, Raabe A, Goldberg J, Schöni D, Gralla J, Zweifel-Zehnder A, Gutbrod K, Müri R, Maduri R, Thomas Daniel R, Starnoni D, Messerer M, Levivier M, Beaud V, Valsecchi D, Arrighi M, Venier A, Reinert M, Kuhlen DE, Robert T, Rossi S, Sacco L, Bijlenga P, Corniola M, Schaller K, Chicherio C, Seule MA, Ferrari A, Weyerbrock A, Hlavica M, Fournier JY, Früh S, Schatlo B, Burkhardt JK, Stienen MN, Keller E, Regli L, Bozinov O, Maldaner N, Finkenstädt S, Neidert MC, Brugger P, Mondadori C. The Barrow Neurological Institute Grading Scale as a Predictor for Delayed Cerebral Ischemia and Outcome After Aneurysmal Subarachnoid Hemorrhage: Data From a Nationwide Patient Registry (Swiss SOS). Neurosurgery 2018; 83:1286-1293. [DOI: 10.1093/neuros/nyx609] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 12/06/2017] [Indexed: 11/13/2022] Open
Affiliation(s)
- Marian Christoph Neidert
- Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Nicolai Maldaner
- Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Martin Nikolaus Stienen
- Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Michel Roethlisberger
- Department of Neurosurgery, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Daniel W Zumofen
- Department of Neurosurgery, University Hospital Basel, University of Basel, Basel, Switzerland
- Division of Diagnostic and Interventional Neuroradiology, Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Donato D’Alonzo
- Department of Neurosurgery, Kantonsspital Aarau, Aarau, Switzerland
| | - Serge Marbacher
- Department of Neurosurgery, Kantonsspital Aarau, Aarau, Switzerland
| | - Rodolfo Maduri
- Department Clinical Neurosciences, Service Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
| | | | - Bawarjan Schatlo
- Department of Neurosurgery, University Hospital Göttingen, Göttingen, Germany
| | - Michel M Schneider
- Department of Neurosurgery, Kantonsspital St.Gallen, St.Gallen, Switzerland
| | - Martin A Seule
- Department of Neurosurgery, Kantonsspital St.Gallen, St.Gallen, Switzerland
| | - Daniel Schöni
- Department of Neurosurgery, Inselspital Bern, Bern, Switzerland
| | | | - Christian Fung
- Department of Neurosurgery, Inselspital Bern, Bern, Switzerland
| | - Marta Arrighi
- Department of Neurosurgery, Ospedale Regionale di Lugano, Lugano, Switzerland
| | - Daniele Valsecchi
- Department of Neurosurgery, Ospedale Regionale di Lugano, Lugano, Switzerland
| | - Philippe Bijlenga
- Department of Neurosurgery, Hôpitaux Universitaires de Genève (HUG), Geneva, Switzerland
| | - Karl Schaller
- Department of Neurosurgery, Hôpitaux Universitaires de Genève (HUG), Geneva, Switzerland
| | - Oliver Bozinov
- Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Luca Regli
- Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Jan-Karl Burkhardt
- Department of Neurosurgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland
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26
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Abstract
BACKGROUND Global cerebral edema (GCE) is a manifestation of early brain injury (EBI) after subarachnoid hemorrhage (SAH) and is an independent risk factor for poor outcome. The lack of a quantitative method to measure GCE limits the study of its pathophysiology. The goal of this study is to develop a quantitative surrogate marker that represents GCE after SAH. METHODS Patients with spontaneous SAH were enrolled into a prospective observational database. Initial CT scans were graded for GCE using established qualitative criteria. Selective sulcal volume (SSV) was defined as total mL of sulcal volumes on axial CT slices above the most cranial section of the lateral ventricles to the last visible section. Using a semiautomatic threshold approach, sulcal regions were traced out with manual adjustments when necessary. The volume of sulci in each slice was calculated and multiplied by the slice thickness and number of slices to calculate the SSV. All volumetric analysis was performed using Medical Image Processing, Analysis and Visualization Version 7.0.1 (MIPAV). RESULTS A total of 109 subjects were included in our analysis. Mean selective sulcal volumes (SSV) differed between subjects with and without GCE 4.5 and 21.2 mL (P < 0.001). When separated into quartiles, the odds of qualitative GCE increases as SSV decreases. Compared to the highest SSV quartile, smaller SSV was associated with worse clinical outcomes. CONCLUSION GCE can be quantified using volumetric analysis of SSV measurements on routine CT scans. Smaller SSV on admission is predictive of worse clinical outcomes. SSV may be an important marker of EBI after SAH.
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27
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Mooney MA, Hardesty DA, Sheehy JP, Bird CR, Chapple K, White WL, Little AS. Rater Reliability of the Hardy Classification for Pituitary Adenomas in the Magnetic Resonance Imaging Era. J Neurol Surg B Skull Base 2017; 78:413-418. [PMID: 28875120 DOI: 10.1055/s-0037-1603649] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Accepted: 04/30/2017] [Indexed: 01/05/2023] Open
Abstract
Objectives The Hardy classification is used to classify pituitary tumors for clinical and research purposes. The scale was developed using lateral skull radiographs and encephalograms, and its reliability has not been evaluated in the magnetic resonance imaging (MRI) era. Design Fifty preoperative MRI scans of biopsy-proven pituitary adenomas using the sellar invasion and suprasellar extension components of the Hardy scale were reviewed. Setting This study was a cohort study set at a single institution. Participants There were six independent raters. Main Outcome Measures The main outcome measures of this study were interrater reliability, intrarater reliability, and percent agreement. Results Overall interrater reliability of both Hardy subscales on MRI was strong. However, reliability of the intermediate scores was weak, and percent agreement among raters was poor (12-16%) using the full scales. Dichotomizing the scale into clinically useful groups maintained strong interrater reliability for the sellar invasion scale and increased the percent agreement for both scales. Conclusion This study raises important questions about the reliability of the original Hardy classification. Editing the measure to a clinically relevant dichotomous scale simplifies the rating process and may be useful for preoperative tumor characterization in the MRI era. Future research studies should use the dichotomized Hardy scale (sellar invasion Grades 0-III versus Grade IV, suprasellar extension Types 0-C versus Type D).
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Affiliation(s)
- Michael A Mooney
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, United States
| | - Douglas A Hardesty
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, United States
| | - John P Sheehy
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, United States
| | - C Roger Bird
- Departments of Neuroradiology, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, United States
| | - Kristina Chapple
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, United States
| | - William L White
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, United States
| | - Andrew S Little
- Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, United States
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28
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Mooney MA, Hardesty DA, Sheehy JP, Bird R, Chapple K, White WL, Little AS. Interrater and intrarater reliability of the Knosp scale for pituitary adenoma grading. J Neurosurg 2017; 126:1714-1719. [DOI: 10.3171/2016.3.jns153044] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVEThe goal of this study was to determine the interrater and intrarater reliability of the Knosp grading scale for predicting pituitary adenoma cavernous sinus (CS) involvement.METHODSSix independent raters (3 neurosurgery residents, 2 pituitary surgeons, and 1 neuroradiologist) participated in the study. Each rater scored 50 unique pituitary MRI scans (with contrast) of biopsy-proven pituitary adenoma. Reliabilities for the full scale were determined 3 ways: 1) using all 50 scans, 2) using scans with midrange scores versus end scores, and 3) using a dichotomized scale that reflects common clinical practice. The performance of resident raters was compared with that of faculty raters to assess the influence of training level on reliability.RESULTSOverall, the interrater reliability of the Knosp scale was “strong” (0.73, 95% CI 0.56–0.84). However, the percent agreement for all 6 reviewers was only 10% (26% for faculty members, 30% for residents). The reliability of the middle scores (i.e., average rated Knosp Grades 1 and 2) was “very weak” (0.18, 95% CI −0.27 to 0.56) and the percent agreement for all reviewers was only 5%. When the scale was dichotomized into tumors unlikely to have intraoperative CS involvement (Grades 0, 1, and 2) and those likely to have CS involvement (Grades 3 and 4), the reliability was “strong” (0.60, 95% CI 0.39–0.75) and the percent agreement for all raters improved to 60%. There was no significant difference in reliability between residents and faculty (residents 0.72, 95% CI 0.55–0.83 vs faculty 0.73, 95% CI 0.56–0.84). Intrarater reliability was moderate to strong and increased with the level of experience.CONCLUSIONSAlthough these findings suggest that the Knosp grading scale has acceptable interrater reliability overall, it raises important questions about the “very weak” reliability of the scale's middle grades. By dichotomizing the scale into clinically useful groups, the authors were able to address the poor reliability and percent agreement of the intermediate grades and to isolate the most important grades for use in surgical decision making (Grades 3 and 4). Authors of future pituitary surgery studies should consider reporting Knosp grades as dichotomized results rather than as the full scale to optimize the reliability of the scale.
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29
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Dengler NF, Diesing D, Sarrafzadeh A, Wolf S, Vajkoczy P. The Barrow Neurological Institute Scale Revisited: Predictive Capabilities for Cerebral Infarction and Clinical Outcome in Patients With Aneurysmal Subarachnoid Hemorrhage. Neurosurgery 2017; 81:341-349. [DOI: 10.1093/neuros/nyw141] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Accepted: 12/28/2016] [Indexed: 11/14/2022] Open
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30
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Bretz JS, Von Dincklage F, Woitzik J, Winkler MKL, Major S, Dreier JP, Bohner G, Scheel M. The Hijdra scale has significant prognostic value for the functional outcome of Fisher grade 3 patients with subarachnoid hemorrhage. Clin Neuroradiol 2016; 27:361-369. [PMID: 27113903 DOI: 10.1007/s00062-016-0509-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Accepted: 02/29/2016] [Indexed: 11/29/2022]
Abstract
PURPOSE Despite its high prevalence among patients with aneurysmal subarachnoid hemorrhage (aSAH) and high risk of delayed cerebral ischemia (DCI), the Fisher grade 3 category remains a poorly studied subgroup. The aim of this cohort study has been to investigate the prognostic value of the Hijdra sum scoring system for the functional outcome in patients with Fisher grade 3 aSAH, in order to improve the risk stratification within this Fisher category. METHODS Initial CT scans of 72 prospectively enrolled patients with Fisher grade 3 aSAH were analyzed, and cisternal, ventricular, and total amount of blood were graded according to the Hijdra scale. Additionally, space-occupying subarachnoid blood clots were assessed. Outcome was evaluated after 6 months. RESULTS Within the subgroup of Fisher grade 3, aSAH patients with an unfavorable outcome showed a significantly larger cisternal Hijdra sum score (HSS: 21.1 ± 5.2) than patients with a favorable outcome (HSS: 17.6 ± 5.9; p = 0.009). However, both the amount of ventricular blood (p = 0.165) and space-occupying blood clots (p = 0.206) appeared to have no prognostic relevance. After adjusting for the patient's age, gender, tobacco use, clinical status at admission, and presence of intracerebral hemorrhage, the cisternal and total HSS remained the only independent parameters included in multivariate logistic regression models to predict functional outcome (p < 0.01). CONCLUSION The cisternal Hijdra score is fairly easy to perform and the present study indicates that it has an additional predictive value for the functional outcome within the Fisher 3 category. We suggest that the Hijdra scale is a practically useful prognostic instrument for the risk evaluation after aSAH and should be applied more often in the clinical setting.
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Affiliation(s)
- Julia S Bretz
- Department of Neuroradiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
| | - Falk Von Dincklage
- Department of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Johannes Woitzik
- Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Maren K L Winkler
- Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Sebastian Major
- Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Departments of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Jens P Dreier
- Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Departments of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Georg Bohner
- Department of Neuroradiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Michael Scheel
- Department of Neuroradiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
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31
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Lagares A, Jiménez-Roldán L, Gomez PA, Munarriz PM, Castaño-León AM, Cepeda S, Alén JF. Prognostic Value of the Amount of Bleeding After Aneurysmal Subarachnoid Hemorrhage. Neurosurgery 2015; 77:898-907; discussion 907. [DOI: 10.1227/neu.0000000000000927] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND:
Quantitative estimation of the hemorrhage volume associated with aneurysm rupture is a new tool of assessing prognosis.
OBJECTIVE:
To determine the prognostic value of the quantitative estimation of the amount of bleeding after aneurysmal subarachnoid hemorrhage, as well the relative importance of this factor related to other prognostic indicators, and to establish a possible cut-off value of volume of bleeding related to poor outcome.
METHODS:
A prospective cohort of 206 patients consecutively admitted with the diagnosis of aneurysmal subarachnoid hemorrhage to Hospital 12 de Octubre were included in the study. Subarachnoid, intraventricular, intracerebral, and total bleeding volumes were calculated using analytic software. For assessing factors related to prognosis, univariate and multivariate analysis (logistic regression) were performed. The relative importance of factors in determining prognosis was established by calculating their proportion of explained variation. Maximum Youden index was calculated to determine the optimal cut point for subarachnoid and total bleeding volume.
RESULTS:
Variables independently related to prognosis were clinical grade at admission, age, and the different bleeding volumes. The proportion of variance explained is higher for subarachnoid bleeding. The optimal cut point related to poor prognosis is a volume of 20 mL both for subarachnoid and total bleeding.
CONCLUSION:
Volumetric measurement of subarachnoid or total bleeding volume are both independent prognostic factors in patients with aneurysmal subarachnoid hemorrhage. A volume of more than 20 mL of blood in the initial noncontrast computed tomography is related to a clear increase in poor outcome risk.
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Affiliation(s)
- Alfonso Lagares
- Department of Neurosurgery, Instituto de Investigación i+12, Hospital Universitario 12 de Octubre, Universidad Complutense de Madrid, Madrid, Spain
| | - Luis Jiménez-Roldán
- Department of Neurosurgery, Instituto de Investigación i+12, Hospital Universitario 12 de Octubre, Universidad Complutense de Madrid, Madrid, Spain
| | - Pedro A. Gomez
- Department of Neurosurgery, Instituto de Investigación i+12, Hospital Universitario 12 de Octubre, Universidad Complutense de Madrid, Madrid, Spain
| | - Pablo M. Munarriz
- Department of Neurosurgery, Instituto de Investigación i+12, Hospital Universitario 12 de Octubre, Universidad Complutense de Madrid, Madrid, Spain
| | - Ana M. Castaño-León
- Department of Neurosurgery, Instituto de Investigación i+12, Hospital Universitario 12 de Octubre, Universidad Complutense de Madrid, Madrid, Spain
| | - Santiago Cepeda
- Department of Neurosurgery, Instituto de Investigación i+12, Hospital Universitario 12 de Octubre, Universidad Complutense de Madrid, Madrid, Spain
| | - José F. Alén
- Department of Neurosurgery, Instituto de Investigación i+12, Hospital Universitario 12 de Octubre, Universidad Complutense de Madrid, Madrid, Spain
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de Oliveira Manoel AL, Jaja BN, Germans MR, Yan H, Qian W, Kouzmina E, Marotta TR, Turkel-Parrella D, Schweizer TA, Macdonald RL. The VASOGRADE: A Simple Grading Scale for Prediction of Delayed Cerebral Ischemia After Subarachnoid Hemorrhage. Stroke 2015; 46:1826-31. [PMID: 25977276 DOI: 10.1161/strokeaha.115.008728] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2015] [Accepted: 04/07/2015] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Patients are classically at risk of delayed cerebral ischemia (DCI) after aneurysmal subarachnoid hemorrhage. We validated a grading scale-the VASOGRADE-for prediction of DCI. METHODS We used data of 3 phase II randomized clinical trials and a single hospital series to assess the relationship between the VASOGRADE and DCI. The VASOGRADE derived from previously published risk charts and consists of 3 categories: VASOGRADE-Green (modified Fisher scale 1 or 2 and World Federation of Neurosurgical Societies scale [WFNS] 1 or 2); VASOGRADE-Yellow (modified Fisher 3 or 4 and WFNS 1-3); and VASOGRADE-Red (WFNS 4 or 5, irrespective of modified Fisher grade). The relation between the VASOGRADE and DCI was assessed by logistic regression models. The predictive accuracy of the VASOGRADE was assessed by receiver operating characteristics curve and calibration plots. RESULTS In a cohort of 746 patients, the VASOGRADE significantly predicted DCI (P<0.001). The VASOGRADE-Yellow had a tendency for increased risk for DCI (odds ratio [OR], 1.31; 95% CI, 0.77-2.23) when compared with VASOGRADE-Green; those with VASOGRADE-Red had a 3-fold higher risk of DCI (OR, 3.19; 95% CI, 2.07-4.50). Studies were not a significant confounding factor between the VASOGRADE and DCI. The VASOGRADE had an adequate discrimination for prediction of DCI (area under the receiver operating characteristics curve=0.63) and good calibration. CONCLUSIONS The VASOGRADE results validated previously published risk charts in a large and diverse sample of subarachnoid hemorrhage patients, which allows DCI risk stratification on presentation after subarachnoid hemorrhage. It could help to select patients at high risk of DCI, as well as standardize treatment protocols and research studies.
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Affiliation(s)
- Airton Leonardo de Oliveira Manoel
- From the Division of Neurosurgery, St Michael's Hospital, Labatt Family Centre of Excellence in Brain Injury and Trauma Research, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St Michael's Hospital and Department of Surgery, University of Toronto, Toronto, Ontario, Canada (B.N.J., T.R.M., D.T.P., T.A.S., R.L.M.); Neuroscience Research Program, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St. Michael's Hospital (A.L.d.O.M, H.Y., W.Q., E.K.); and Department of Neurosurgery, St Elisabeth Ziekenhuis, Tilburg, Netherlands (M.R.G.).
| | - Blessing N Jaja
- From the Division of Neurosurgery, St Michael's Hospital, Labatt Family Centre of Excellence in Brain Injury and Trauma Research, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St Michael's Hospital and Department of Surgery, University of Toronto, Toronto, Ontario, Canada (B.N.J., T.R.M., D.T.P., T.A.S., R.L.M.); Neuroscience Research Program, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St. Michael's Hospital (A.L.d.O.M, H.Y., W.Q., E.K.); and Department of Neurosurgery, St Elisabeth Ziekenhuis, Tilburg, Netherlands (M.R.G.)
| | - Menno R Germans
- From the Division of Neurosurgery, St Michael's Hospital, Labatt Family Centre of Excellence in Brain Injury and Trauma Research, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St Michael's Hospital and Department of Surgery, University of Toronto, Toronto, Ontario, Canada (B.N.J., T.R.M., D.T.P., T.A.S., R.L.M.); Neuroscience Research Program, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St. Michael's Hospital (A.L.d.O.M, H.Y., W.Q., E.K.); and Department of Neurosurgery, St Elisabeth Ziekenhuis, Tilburg, Netherlands (M.R.G.)
| | - Han Yan
- From the Division of Neurosurgery, St Michael's Hospital, Labatt Family Centre of Excellence in Brain Injury and Trauma Research, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St Michael's Hospital and Department of Surgery, University of Toronto, Toronto, Ontario, Canada (B.N.J., T.R.M., D.T.P., T.A.S., R.L.M.); Neuroscience Research Program, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St. Michael's Hospital (A.L.d.O.M, H.Y., W.Q., E.K.); and Department of Neurosurgery, St Elisabeth Ziekenhuis, Tilburg, Netherlands (M.R.G.)
| | - Winnie Qian
- From the Division of Neurosurgery, St Michael's Hospital, Labatt Family Centre of Excellence in Brain Injury and Trauma Research, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St Michael's Hospital and Department of Surgery, University of Toronto, Toronto, Ontario, Canada (B.N.J., T.R.M., D.T.P., T.A.S., R.L.M.); Neuroscience Research Program, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St. Michael's Hospital (A.L.d.O.M, H.Y., W.Q., E.K.); and Department of Neurosurgery, St Elisabeth Ziekenhuis, Tilburg, Netherlands (M.R.G.)
| | - Ekaterina Kouzmina
- From the Division of Neurosurgery, St Michael's Hospital, Labatt Family Centre of Excellence in Brain Injury and Trauma Research, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St Michael's Hospital and Department of Surgery, University of Toronto, Toronto, Ontario, Canada (B.N.J., T.R.M., D.T.P., T.A.S., R.L.M.); Neuroscience Research Program, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St. Michael's Hospital (A.L.d.O.M, H.Y., W.Q., E.K.); and Department of Neurosurgery, St Elisabeth Ziekenhuis, Tilburg, Netherlands (M.R.G.)
| | - Tom R Marotta
- From the Division of Neurosurgery, St Michael's Hospital, Labatt Family Centre of Excellence in Brain Injury and Trauma Research, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St Michael's Hospital and Department of Surgery, University of Toronto, Toronto, Ontario, Canada (B.N.J., T.R.M., D.T.P., T.A.S., R.L.M.); Neuroscience Research Program, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St. Michael's Hospital (A.L.d.O.M, H.Y., W.Q., E.K.); and Department of Neurosurgery, St Elisabeth Ziekenhuis, Tilburg, Netherlands (M.R.G.)
| | - David Turkel-Parrella
- From the Division of Neurosurgery, St Michael's Hospital, Labatt Family Centre of Excellence in Brain Injury and Trauma Research, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St Michael's Hospital and Department of Surgery, University of Toronto, Toronto, Ontario, Canada (B.N.J., T.R.M., D.T.P., T.A.S., R.L.M.); Neuroscience Research Program, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St. Michael's Hospital (A.L.d.O.M, H.Y., W.Q., E.K.); and Department of Neurosurgery, St Elisabeth Ziekenhuis, Tilburg, Netherlands (M.R.G.)
| | - Tom A Schweizer
- From the Division of Neurosurgery, St Michael's Hospital, Labatt Family Centre of Excellence in Brain Injury and Trauma Research, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St Michael's Hospital and Department of Surgery, University of Toronto, Toronto, Ontario, Canada (B.N.J., T.R.M., D.T.P., T.A.S., R.L.M.); Neuroscience Research Program, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St. Michael's Hospital (A.L.d.O.M, H.Y., W.Q., E.K.); and Department of Neurosurgery, St Elisabeth Ziekenhuis, Tilburg, Netherlands (M.R.G.)
| | - R Loch Macdonald
- From the Division of Neurosurgery, St Michael's Hospital, Labatt Family Centre of Excellence in Brain Injury and Trauma Research, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St Michael's Hospital and Department of Surgery, University of Toronto, Toronto, Ontario, Canada (B.N.J., T.R.M., D.T.P., T.A.S., R.L.M.); Neuroscience Research Program, Keenan Research Centre of the Li Ka Shing Knowledge Institute of St. Michael's Hospital (A.L.d.O.M, H.Y., W.Q., E.K.); and Department of Neurosurgery, St Elisabeth Ziekenhuis, Tilburg, Netherlands (M.R.G.)
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