Head Trauma Associated with Supra- and Infratentorial Epidural Hematoma: Diagnostic and Surgical Considerations

Development and validation of a nomogram for predicting mortality in patients with acute severe traumatic brain injury: A retrospective analysis

BACKGROUND

Recent evidence links the prognosis of traumatic brain injury (TBI) to various factors, including baseline clinical characteristics, TBI specifics, and neuroimaging outcomes. This study focuses on identifying risk factors for short-term survival in severe traumatic brain injury (sTBI) cases and developing a prognostic model.

METHODS

Analyzing 430 acute sTBI patients from January 2018 to December 2023 at the 904th Hospital's Neurosurgery Department, this retrospective case-control study separated patients into survival outcomes: 288 deceased and 142 survivors. It evaluated baseline, clinical, hematological, and radiological data to identify risk and protective factors through univariate and Lasso regression. A multivariate model was then formulated to pinpoint independent prognostic factors, assessing their relationships via Spearman's correlation. The model's accuracy was gauged using the Receiver Operating Characteristic (ROC) curve, with additional statistical analyses for quantitative factors and model effectiveness. Internal validation employed ROC, calibration curves, Decision Curve Analysis (DCA), and Clinical Impact Curves (CIC) to assess model discrimination, utility, and accuracy. The International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT) and Corticosteroid Randomization After Significant Head injury (CRASH) models were also compared through multivariate regression.

RESULTS

Factors like unilateral and bilateral pupillary non-reactivity at admission, the derived neutrophil to lymphocyte ratio (dNLR), platelet to lymphocyte ratio (PLR), D-dimer to fibrinogen ratio (DFR), infratentorial hematoma, and Helsinki CT score were identified as independent risk factors (OR > 1), whereas serum albumin emerged as a protective factor (OR < 1). The model showed superior predictive performance with an AUC of 0.955 and surpassed both IMPACT and CRASH models in predictive accuracy. Internal validation confirmed the model's high discriminative capability, clinical relevance, and effectiveness.

CONCLUSIONS

Short-term survival in sTBI is significantly influenced by factors such as pupillary response, dNLR, PLR, DFR, serum albumin levels, infratentorial hematoma occurrence, and Helsinki CT scores at admission. The developed nomogram accurately predicts sTBI outcomes, offering significant clinical utility.

Exploring Rare Traumatic Injuries: A Miniseries of 4 Cases Discussing Epidural Hematomas Bridging the Infratentorial and Supratentorial Regions

Supratentorial-infratentorial epidural hematomas (SIEH) are a rare occurrence following traumatic head injuries, representing only 2% of traumatic epidural hematomas. Given the unique anatomical characteristics of the infratentorial region, mainly its small size, surgical intervention is commonly undertaken to alleviate the pressure on the posterior fossa components. Consequently, there is ongoing debate surrounding the optimal surgical approaches.In this report, we present four cases of SIEH that were treated surgically. Furthermore, we conduct a comprehensive review of existing literature, encompassing clinical, radiological, and therapeutic aspects associated with this condition.SIEH are uncommon post-traumatic lesions that require urgent and individualized management on a case-by-case basis, as guided by multiplanar cerebral computed tomography scan findings. Preoperative planning is essential; however, intraoperative exploration and identification of transverse sinus and torcula lesions are crucial for optimal patient care. The surgical approach may be modified intraoperatively based on the nature and extent of these lesions. In all cases, prompt hematoma evacuation and meticulous hemostasis are the two primary objectives of this surgery.