Decompressive craniectomy (DC) is a life-saving procedure for patients with severe traumatic brain injury (TBI). However, post-traumatic hydrocephalus (PTH) remains a common and clinically significant complication that negatively impacts neurological recovery and often requires secondary cerebrospinal fluid diversion. Reliable tools for early postoperative risk stratification are still lacking. We conducted a single-center retrospective cohort study involving adult patients with severe traumatic brain injury (TBI) who underwent unilateral decompressive craniectomy (DC) between 2014 and 2023. Only variables available at admission or within the first seven postoperative days were considered as candidate predictors. Post-traumatic hydrocephalus (PTH) was diagnosed based on radiological progression, clinical deterioration, and the subsequent need for cerebrospinal fluid shunting. A multivariable Firth penalized logistic regression model was developed to identify independent predictors. Model performance was assessed using the area under the receiver operating characteristic curve (AUC), Brier score, and internal validation with 1000 bootstrap resamples. Among 277 eligible patients, 74 (26.7%) developed post-traumatic hydrocephalus (PTH) during follow-up. Multivariable analysis revealed that intraventricular hemorrhage (IVH; adjusted odds ratio aOR = 7.64, 95% confidence interval CI 1.80–32.46, P = 0.006), high-energy injury mechanism (P < 0.001), fall from height (aOR = 4.46, P = 0.027), subdural hematoma (aOR = 26.23, P = 0.09), complex intracranial injury patterns (aOR = 51.26, P = 0.003), and longer time from injury to surgery (per hour aOR = 1.011, P = 0.039) were independently associated with an increased risk of PTH. Traumatic subarachnoid hemorrhage was inversely associated with PTH occurrence (aOR = 0.45, P = 0.043). The prediction model achieved an area under the curve (AUC) of 0.82 with a Brier score of 0.14 in the training cohort. After bootstrap internal validation, the optimism-corrected Harrell C-index was 0.69, suggesting moderate discriminative performance. A prediction model based exclusively on early perioperative variables can identify patients at high risk for post-traumatic hydrocephalus (PTH) following decompressive craniectomy. This tool may facilitate targeted surveillance and timely intervention; however, external validation in prospective, multicenter cohorts is necessary before routine clinical implementation.
Zhou et al. (Sun,) studied this question.