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Capion T, Lilja-Cyron A, Olsen MH, Møller K, Juhler M, Mathiesen T. Predictors of shunt insertion in patients with aneurysmal subarachnoid haemorrhage-a single-centre retrospective analysis. Acta Neurochir (Wien) 2024; 166:24. [PMID: 38240848 PMCID: PMC10799140 DOI: 10.1007/s00701-024-05926-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 11/23/2023] [Indexed: 01/22/2024]
Abstract
BACKGROUND No standard has been established regarding timing and choice of strategy for discontinuation of external ventricular drainage (EVD) in patients with aneurysmal subarachnoid haemorrhage (aSAH), and little is known about the importance of clinical variables. A proportion of the patients who initially pass their discontinuation attempt return with delayed hydrocephalus and the need of a permanent shunt. Early differentiation between patients who need a shunt and those who do not would facilitate care. We conducted a retrospective analysis on patients with aSAH and an EVD to search significant differences in treatment and clinical variables between patients who received a permanent shunt during initial hospitalization or after readmission, and those who never received a shunt. METHODS We included 183 patients with aSAH who received an EVD over a 4-year period between 2015 and 2018 and divided them into three groups: those who received a shunt during primary admission, those who were readmitted for delayed hydrocephalus and received a shunt, and those who never needed a shunt. Between these groups, we compared selected clinical variables as well as outcome at discharge and after 6 months. Additionally, we assessed the ability of a shunt dependency score (SDASH) to predict the need for permanent drainage in the patients. RESULTS Of 183 included patients, 108 (59%) ultimately received a ventriculoperitoneal (VP) shunt. Of these, 89 (82%) failed discontinuation during the primary admission and received a permanent shunt before discharge from the neurosurgical department. The remaining 19 (18%) were discharged after successful discontinuation, but subsequently developed delayed hydrocephalus and were admitted for shunt placement a median of 39 (range: 18-235) days after ictus. Ninety-four patients were discharged after successful discontinuation of the EVD, consisting of those who never developed the need for a permanent shunt and the 19 who were readmitted with delayed hydrocephalus, corresponding to a 20% (19/94) readmittance rate. Clinical variables such as drainage volume or discontinuation strategy did not differ across the three groups of patients. The SDASH score failed to provide any clinically useful information regarding prediction of shunt placement. CONCLUSION In this study, clinical variables including use of the predictive score SDASH predicted neither the overall need for nor the timing of shunt placement after aSAH. The homogeneous distribution of data between the three different groups renders strong independent clinical predictive factors unlikely. Thus, attempts to predict a permanent shunt requirement from these variables may be futile in these patients.
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Affiliation(s)
- Tenna Capion
- Department of Neurosurgery, The Neuroscience Centre, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.
| | - Alexander Lilja-Cyron
- Department of Neurosurgery, The Neuroscience Centre, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Markus Harboe Olsen
- Department of Neuroanaesthesiology, The Neuroscience Centre, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Kirsten Møller
- Department of Neuroanaesthesiology, The Neuroscience Centre, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Marianne Juhler
- Department of Neurosurgery, The Neuroscience Centre, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Tiit Mathiesen
- Department of Neurosurgery, The Neuroscience Centre, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
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Said M, Gümüs M, Rodemerk J, Chihi M, Rauschenbach L, Dinger TF, Darkwah Oppong M, Dammann P, Wrede KH, Sure U, Jabbarli R. The value of ventricular measurements in the prediction of shunt dependency after aneurysmal subarachnoid hemorrhage. Acta Neurochir (Wien) 2023; 165:1545-1555. [PMID: 37127799 DOI: 10.1007/s00701-023-05595-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 04/11/2023] [Indexed: 05/03/2023]
Abstract
OBJECTIVE Chronic hydrocephalus requiring shunt placement is a common complication of aneurysmal subarachnoid hemorrhage (SAH). Different risk factors and prediction scores for post-SAH shunt dependency have been evaluated so far. We analyzed the value of ventricle measurements for prediction of the need for shunt placement in SAH patients. METHODS Eligible SAH cases treated between 01/2003 and 06/2016 were included. Initial computed tomography scans were reviewed to measure ventricle indices (bifrontal, bicaudate, Evans', ventricular, Huckman's, and third ventricle ratio). Previously introduced CHESS and SDASH scores for shunt dependency were calculated. Receiver operating characteristic analyses were performed for diagnostic accuracy of the ventricle indices and to identify the clinically relevant cut-offs. RESULTS Shunt placement followed in 221 (36.5%) of 606 patients. In univariate analyses, all ventricular indices were associated with shunting (all: p<0.0001). The area under the curve (AUC) ranged between 0.622 and 0.662. In multivariate analyses, only Huckman's index was associated with shunt dependency (cut-off at ≥6.0cm, p<0.0001) independent of the CHESS score as baseline prediction model. A combined score (0-10 points) containing the CHESS score components (0-8 points) and Huckman's index (+2 points) showed better diagnostic accuracy (AUC=0.751) than the CHESS (AUC=0.713) and SDASH (AUC=0.693) scores and the highest overall model quality (0.71 vs. 0.65 and 0.67), respectively. CONCLUSIONS Ventricle measurements are feasible for early prediction of shunt placement after SAH. The combined prediction model containing the CHESS score and Huckman's index showed remarkable diagnostic accuracy regarding identification of SAH individuals requiring shunt placement. External validation of the presented combined CHESS-Huckman score is mandatory.
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Affiliation(s)
- Maryam Said
- Department of Neurosurgery and Spine Surgery, University Hospital of Essen, Essen, Germany.
- Department of Neurosurgery and Spine Surgery, Evangelisches Krankenhaus Oldenburg, Oldenburg, Germany.
| | - Meltem Gümüs
- Department of Neurosurgery and Spine Surgery, University Hospital of Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Jan Rodemerk
- Department of Neurosurgery and Spine Surgery, University Hospital of Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Mehdi Chihi
- Department of Neurosurgery and Spine Surgery, University Hospital of Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Laurèl Rauschenbach
- Department of Neurosurgery and Spine Surgery, University Hospital of Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Thiemo F Dinger
- Department of Neurosurgery and Spine Surgery, University Hospital of Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Marvin Darkwah Oppong
- Department of Neurosurgery and Spine Surgery, University Hospital of Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Philipp Dammann
- Department of Neurosurgery and Spine Surgery, University Hospital of Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Karsten H Wrede
- Department of Neurosurgery and Spine Surgery, University Hospital of Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Ulrich Sure
- Department of Neurosurgery and Spine Surgery, University Hospital of Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
| | - Ramazan Jabbarli
- Department of Neurosurgery and Spine Surgery, University Hospital of Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg-Essen, Essen, Germany
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