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Chronic subdural hematoma: Surgical management and outcome in 986 cases: A classification and regression tree approach

BACKGROUND: Chronic subdural hematoma (CSDH) is one of the most common clinical entities in daily neurosurgical practice which carries a most favorable prognosis. However, because of the advanced age and medical problems of patients, surgical therapy is frequently associated with various complicatio...

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Autores principales: Rovlias, Aristedis, Theodoropoulos, Spyridon, Papoutsakis, Dimitrios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4524005/
https://www.ncbi.nlm.nih.gov/pubmed/26257985
http://dx.doi.org/10.4103/2152-7806.161788
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author Rovlias, Aristedis
Theodoropoulos, Spyridon
Papoutsakis, Dimitrios
author_facet Rovlias, Aristedis
Theodoropoulos, Spyridon
Papoutsakis, Dimitrios
author_sort Rovlias, Aristedis
collection PubMed
description BACKGROUND: Chronic subdural hematoma (CSDH) is one of the most common clinical entities in daily neurosurgical practice which carries a most favorable prognosis. However, because of the advanced age and medical problems of patients, surgical therapy is frequently associated with various complications. This study evaluated the clinical features, radiological findings, and neurological outcome in a large series of patients with CSDH. METHODS: A classification and regression tree (CART) technique was employed in the analysis of data from 986 patients who were operated at Asclepeion General Hospital of Athens from January 1986 to December 2011. Burr holes evacuation with closed system drainage has been the operative technique of first choice at our institution for 29 consecutive years. A total of 27 prognostic factors were examined to predict the outcome at 3-month postoperatively. RESULTS: Our results indicated that neurological status on admission was the best predictor of outcome. With regard to the other data, age, brain atrophy, thickness and density of hematoma, subdural accumulation of air, and antiplatelet and anticoagulant therapy were found to correlate significantly with prognosis. The overall cross-validated predictive accuracy of CART model was 85.34%, with a cross-validated relative error of 0.326. CONCLUSIONS: Methodologically, CART technique is quite different from the more commonly used methods, with the primary benefit of illustrating the important prognostic variables as related to outcome. Since, the ideal therapy for the treatment of CSDH is still under debate, this technique may prove useful in developing new therapeutic strategies and approaches for patients with CSDH.
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spelling pubmed-45240052015-08-07 Chronic subdural hematoma: Surgical management and outcome in 986 cases: A classification and regression tree approach Rovlias, Aristedis Theodoropoulos, Spyridon Papoutsakis, Dimitrios Surg Neurol Int Original Article BACKGROUND: Chronic subdural hematoma (CSDH) is one of the most common clinical entities in daily neurosurgical practice which carries a most favorable prognosis. However, because of the advanced age and medical problems of patients, surgical therapy is frequently associated with various complications. This study evaluated the clinical features, radiological findings, and neurological outcome in a large series of patients with CSDH. METHODS: A classification and regression tree (CART) technique was employed in the analysis of data from 986 patients who were operated at Asclepeion General Hospital of Athens from January 1986 to December 2011. Burr holes evacuation with closed system drainage has been the operative technique of first choice at our institution for 29 consecutive years. A total of 27 prognostic factors were examined to predict the outcome at 3-month postoperatively. RESULTS: Our results indicated that neurological status on admission was the best predictor of outcome. With regard to the other data, age, brain atrophy, thickness and density of hematoma, subdural accumulation of air, and antiplatelet and anticoagulant therapy were found to correlate significantly with prognosis. The overall cross-validated predictive accuracy of CART model was 85.34%, with a cross-validated relative error of 0.326. CONCLUSIONS: Methodologically, CART technique is quite different from the more commonly used methods, with the primary benefit of illustrating the important prognostic variables as related to outcome. Since, the ideal therapy for the treatment of CSDH is still under debate, this technique may prove useful in developing new therapeutic strategies and approaches for patients with CSDH. Medknow Publications & Media Pvt Ltd 2015-07-30 /pmc/articles/PMC4524005/ /pubmed/26257985 http://dx.doi.org/10.4103/2152-7806.161788 Text en Copyright: © 2015 Rovlias A. http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Article
Rovlias, Aristedis
Theodoropoulos, Spyridon
Papoutsakis, Dimitrios
Chronic subdural hematoma: Surgical management and outcome in 986 cases: A classification and regression tree approach
title Chronic subdural hematoma: Surgical management and outcome in 986 cases: A classification and regression tree approach
title_full Chronic subdural hematoma: Surgical management and outcome in 986 cases: A classification and regression tree approach
title_fullStr Chronic subdural hematoma: Surgical management and outcome in 986 cases: A classification and regression tree approach
title_full_unstemmed Chronic subdural hematoma: Surgical management and outcome in 986 cases: A classification and regression tree approach
title_short Chronic subdural hematoma: Surgical management and outcome in 986 cases: A classification and regression tree approach
title_sort chronic subdural hematoma: surgical management and outcome in 986 cases: a classification and regression tree approach
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4524005/
https://www.ncbi.nlm.nih.gov/pubmed/26257985
http://dx.doi.org/10.4103/2152-7806.161788
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