Independent predictors for functional outcome after drainage of chronic subdural hematoma identified using a logistic regression model.


Journal

Journal of neurosurgical sciences
ISSN: 1827-1855
Titre abrégé: J Neurosurg Sci
Pays: Italy
ID NLM: 0432557

Informations de publication

Date de publication:
Apr 2020
Historique:
pubmed: 15 7 2017
medline: 4 2 2021
entrez: 15 7 2017
Statut: ppublish

Résumé

Chronic subdural hematoma (CSDH) is a common indication for undergoing neurosurgery, but the outcome may remain limited despite timely surgical treatment. The factors potentially associated with the functional outcome have not been sufficiently investigated. We set out to identify independent predictors associated with the functional outcome after surgical treatment of CSDH, avoiding arbitrary classifications and thresholds or subjective imaging assessment. We retrospectively reviewed 197 consecutive surgical cases of CSDH. Univariate and multivariate analyses were performed to identify the relationship between clinical plus radiographic factors and outcome. Imaging analysis was performed using computer-assisted 3D-volumetric analysis. One-hundred and sixty-four (83.2%) patients had a favorable (GOS grade 5 and 4) and 33 (16.8%) an unfavorable clinical outcome (GOS grade 1-3). The multivariate logistic regression analysis determined 4 independent prognostic factors: age over or under 77 years, preoperative clinical condition (Markwalder Score), recurrence and surgical technique applied. Patients treated with mini-craniotomy procedures had worse outcomes than those treated with single or two burr-hole craniostomies. The percentage of the hematoma drained correlated strongly with recurrence and was by itself not an independent predictor for outcome. In our study age, preoperative neurological status, surgical technique and recurrence were found to be independent prognostic factors for the functional outcome in patients with CSDH.

Sections du résumé

BACKGROUND BACKGROUND
Chronic subdural hematoma (CSDH) is a common indication for undergoing neurosurgery, but the outcome may remain limited despite timely surgical treatment. The factors potentially associated with the functional outcome have not been sufficiently investigated. We set out to identify independent predictors associated with the functional outcome after surgical treatment of CSDH, avoiding arbitrary classifications and thresholds or subjective imaging assessment.
METHODS METHODS
We retrospectively reviewed 197 consecutive surgical cases of CSDH. Univariate and multivariate analyses were performed to identify the relationship between clinical plus radiographic factors and outcome. Imaging analysis was performed using computer-assisted 3D-volumetric analysis.
RESULTS RESULTS
One-hundred and sixty-four (83.2%) patients had a favorable (GOS grade 5 and 4) and 33 (16.8%) an unfavorable clinical outcome (GOS grade 1-3). The multivariate logistic regression analysis determined 4 independent prognostic factors: age over or under 77 years, preoperative clinical condition (Markwalder Score), recurrence and surgical technique applied. Patients treated with mini-craniotomy procedures had worse outcomes than those treated with single or two burr-hole craniostomies. The percentage of the hematoma drained correlated strongly with recurrence and was by itself not an independent predictor for outcome.
CONCLUSIONS CONCLUSIONS
In our study age, preoperative neurological status, surgical technique and recurrence were found to be independent prognostic factors for the functional outcome in patients with CSDH.

Identifiants

pubmed: 28707859
pii: S0390-5616.17.04056-5
doi: 10.23736/S0390-5616.17.04056-5
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

133-140

Auteurs

Sotirios Katsigiannis (S)

Department of Neurosurgery, University Hospital of Cologne, Cologne, Germany.

Christina Hamisch (C)

Department of Neurosurgery, University Hospital of Cologne, Cologne, Germany.

Boris Krischek (B)

Department of Neurosurgery, University Hospital of Cologne, Cologne, Germany.

Marco Timmer (M)

Department of Neurosurgery, University Hospital of Cologne, Cologne, Germany.

Anastasios Mpotsaris (A)

Department of Radiology and Neuroradiology, University Hospital of Cologne, Cologne, Germany.

Roland Goldbrunner (R)

Department of Neurosurgery, University Hospital of Cologne, Cologne, Germany.

Pantelis Stavrinou (P)

Department of Neurosurgery, University Hospital of Cologne, Cologne, Germany - pantelis.stavrinou@uk-koeln.de.

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Classifications MeSH