External validation of prognostic models predicting outcome after chronic subdural hematoma

Background Several prognostic models for outcomes after chronic subdural hematoma (CSDH) treatment have been published in recent years. However, these models are not sufficiently validated for use in daily clinical practice. We aimed to assess the performance of existing prediction models for outcom...

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Bibliographic Details
Published in:Acta neurochirurgica 2022-10, Vol.164 (10), p.2719-2730
Main Authors: Holl, Dana C., Mikolic, Ana, Blaauw, Jurre, Lodewijkx, Roger, Foppen, Merijn, Jellema, Korné, van der Gaag, Niels A., den Hertog, Heleen M., Jacobs, Bram, van der Naalt, Joukje, Verbaan, Dagmar, Kho, K. H., Dirven, C. M. F., Dammers, Ruben, Lingsma, Hester F., van Klaveren, David
Format: Article
Language:English
Subjects:
Blood
Brain
Dura mater
Hematoma
Hematoma, Subdural, Chronic - diagnosis
Hematoma, Subdural, Chronic - surgery
Humans
Interventional Radiology
Medicine
Medicine & Public Health
Meninges
Minimally Invasive Surgery
Mortality
Neurology
Neuroradiology
Neurosurgery
Original - Brain trauma
Original Article - Brain trauma
Patients
Prediction models
Prognosis
Quality of Life
Recurrence
Retrospective Studies
Surgical Orthopedics
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Summary:Background Several prognostic models for outcomes after chronic subdural hematoma (CSDH) treatment have been published in recent years. However, these models are not sufficiently validated for use in daily clinical practice. We aimed to assess the performance of existing prediction models for outcomes in patients diagnosed with CSDH. Methods We systematically searched relevant literature databases up to February 2021 to identify prognostic models for outcome prediction in patients diagnosed with CSDH. For the external validation of prognostic models, we used a retrospective database, containing data of 2384 patients from three Dutch regions. Prognostic models were included if they predicted either mortality, hematoma recurrence, functional outcome, or quality of life. Models were excluded when predictors were absent in our database or available for 
ISSN:0942-0940
0001-6268
0942-0940
DOI:10.1007/s00701-022-05216-8