Development and Validation of Prognostic Model for Patients with Acute Subdural Hematoma-Reliable Nomogram.

ABSTRACT

OBJECTIVE: By extracting clinical and computed tomography imaging data of patients with acute subdural hematoma (ASDH), factors that were significantly associated with poor prognosis were screened and a nomogram model was established and validated. METHODS: All patients with ASDH who underwent subdural hematoma removal and decompressive craniectomy from January 2014 to March 2018 in Qinghai Provincial People's Hospital were continuously collected. Finally, 124 patients were included in the study. According to the Glasgow Outcome Scale at 3 months after operation, patients were divided into a good prognosis group and a poor prognosis group. RESULTS: Univariate and binary logistic regression analysis were performed to screen out independent predictors that were significantly associated with poor prognosis of ASDH. On the basis of these factors, a nomogram model was established. CONCLUSIONS: The nomogram model had high accuracy for predicting poor prognosis in patients with ASDH, and it was easy to promote. In the future, large sample and multicenter prospective studies are necessary to complement and identify the results.