Delayed Deterioration in Isolated Traumatic Subarachnoid Hemorrhage

Traumatic Subarachnoid Hemorrhage Resulting from Posterior Communicating Artery Rupture

Traumatic subarachnoid hemorrhage (SAH), a common finding following head trauma, is usually a benign condition with a favorable outcome, seldom requiring surgical intervention. Unlike nontraumatic aneurysmal SAH, most cases of traumatic SAH occur in the sulci of the cerebral convexities, and only rarely arise at the base of the brain. Basal traumatic SAH can be life-threatening and is primarily associated with rupture of vertebrobasilar arteries. We herein present a rare case of basal traumatic SAH resulting from rupture of the posterior communicating artery (PCoA). A 77-year-old male was taken to the emergency department in a semicomatose state. Upon arrival at emergency room, the patient had a Glasgow coma scale (GCS) score of 6 (E1M3V2), and the neurologic examination demonstrated no focal neurologic deficit. Although the trauma history was evident from abrasions and bruising on the face and chest, brain computed tomography (CT) demonstrated basal SAH, which is typical for nontraumatic aneurysmal SAH. Subsequent digital subtraction angiography (DSA) disclosed a traumatic rupture at the mid-portion of right PCoA and ongoing extravasation of contrast media. Despite emergent trapping of the right PCoA by endovascular surgery, the patient’s clinical condition only minimally improved. The patient remained bed-ridden with stuporous mentality and persistent hydrocephalus. To the best of our knowledge, this is the first reported case of basal traumatic SAH originating from rupture of the PCoA. This case demonstrates that a meticulous vascular workup is mandatory for every patient with basal SAH, even though a trauma history is clear.

Prediction of Mortality in Patients with Isolated Traumatic Subarachnoid Hemorrhage Using a Decision Tree Classifier: A Retrospective Analysis Based on a Trauma Registry System

Background: In contrast to patients with traumatic subarachnoid hemorrhage (tSAH) in the presence of other types of intracranial hemorrhage, the prognosis of patients with isolated tSAH is good. The incidence of mortality in these patients ranges from 0–2.5%. However, few data or predictive models are available for the identification of patients with a high mortality risk. In this study, we aimed to construct a model for mortality prediction using a decision tree (DT) algorithm, along with data obtained from a population-based trauma registry, in a Level 1 trauma center. Methods: Five hundred and forty-five patients with isolated tSAH, including 533 patients who survived and 12 who died, between January 2009 and December 2016, were allocated to training (n = 377) or test (n = 168) sets. Using the data on demographics and injury characteristics, as well as laboratory data of the patients, classification and regression tree (CART) analysis was performed based on the Gini impurity index, using the rpart function in the rpart package in R. Results: In this established DT model, three nodes (head Abbreviated Injury Scale (AIS) score ≤4, creatinine (Cr) <1.4 mg/dL, and age <76 years) were identified as important determinative variables in the prediction of mortality. Of the patients with isolated tSAH, 60% of those with a head AIS >4 died, as did the 57% of those with an AIS score ≤4, but Cr ≥1.4 and age ≥76 years. All patients who did not meet the above-mentioned criteria survived. With all the variables in the model, the DT achieved an accuracy of 97.9% (sensitivity of 90.9% and specificity of 98.1%) and 97.7% (sensitivity of 100% and specificity of 97.7%), for the training set and test set, respectively. Conclusions: The study established a DT model with three nodes (head AIS score ≤4, Cr <1.4, and age <76 years) to predict fatal outcomes in patients with isolated tSAH. The proposed decision-making algorithm may help identify patients with a high risk of mortality.