Development of a Prediction Model for Cranioplasty Implant Survival Following Craniectomy.

Autor: Klieverik VM; Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands. Electronic address: v.m.klieverik-3@umcutrecht.nl., Robe PA; Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands., Muradin MSM; Department of Oral and Maxillofacial Surgery, University Medical Center Utrecht, Utrecht, The Netherlands., Woerdeman PA; Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands.
Jazyk: angličtina
Zdroj: World neurosurgery [World Neurosurg] 2023 Jul; Vol. 175, pp. e693-e703. Date of Electronic Publication: 2023 Apr 08.
DOI: 10.1016/j.wneu.2023.04.008
Abstrakt: Background: Cranioplasty after craniectomy can result in high rates of postoperative complications. Although determinants of postoperative outcomes have been identified, a prediction model for predicting cranioplasty implant survival does not exist. Thus, we sought to develop a prediction model for cranioplasty implant survival after craniectomy.
Methods: We performed a retrospective cohort study of patients who underwent cranioplasty following craniectomy between 2014 and 2020. Missing data were imputed using multiple imputation. For model development, multivariable Cox proportional hazards regression analysis was performed. To test whether candidate determinants contributed to the model, we performed backward selection using the Akaike information criterion. We corrected for overfitting using bootstrapping techniques. The performance of the model was assessed using discrimination and calibration.
Results: A total of 182 patients were included (mean age, 43.0 ± 19.7 years). Independent determinants of cranioplasty implant survival included the indication for craniectomy (compared with trauma-vascular disease: hazard ratio [HR], 0.65 [95% confidence interval (CI), 0.36-1.17]; infection: HR, 0.76 [95% CI, 0.32-1.80]; tumor: HR, 1.40 [95% CI, 0.29-6.79]), cranial defect size (HR, 1.01 per cm 2 [95% CI, 0.73-1.38]), use of an autologous bone flap (HR, 1.63 [95% CI, 0.82-3.24]), and skin closure using staples (HR, 1.42 [95% CI, 0.79-2.56]). The concordance index of the model was 0.60 (95% CI, 0.47-0.73).
Conclusions: We have developed the first prediction model for cranioplasty implant survival after craniectomy. The findings from our study require external validation and deserve further exploration in future studies.
(Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
Externí odkaz: