Guiding lights in the early postoperative computed tomography following cranial surgery for traumatic brain injury patients

Author:

Elkholy HanyORCID,Elnoamany Hossam,Dorrah Mohamed

Abstract

Abstract Background Computed tomography (CT) can be a substantial source of guiding lights during the early postoperative hours in traumatic brain injury (TBI) patients. However, controversy still exists regarding: What is the appropriate time for the first postoperative CT? And what are the guiding lights that can be gained from an early follow-up CT? Therefore, our objective was to reach more clear answers for these questions and to design a simple algorithm for the follow-up of TBI patients during the first 24 h after cranial surgery. Methods This is a retrospective study included 164 TBI patients who were surgically treated for various traumatic cranial and/or intracranial lesions in our neurosurgery department from January 2022 to April 2023. Pre- and postoperative clinical and radiological data of these patients were collected and analyzed. Results The mean age was (23.46 ± 15.126) years. The mean glasgow coma scale (GCS) on presentation was (11.62 ± 3.004). 51.2% of patients had their first follow-up CT done within the first postoperative hour (0–1 h). Postoperative remarkable CT findings were detected in 39 patients (23.8%), with 13 cases (33.3%) of them required re-surgery. 69.2% of the postoperative remarkable findings were recognized in the first hour CT (P = 0.025). Acute subdural hematoma was the only significant primary lesion associated with the need for re-surgery (P = 0.015). Postoperative development of remarkable CT findings was significantly (P < 0.001) associated with increased possibility of re-surgery, high mortality rate, prolonged hospital stay and poor outcome. Conclusions Immediate (0–1 h) follow-up CT brain can be more lucrative in the early postoperative assessment for TBI patients. The first hour CT can provide distinct guiding lights of significant value for the subsequent postoperative management and prediction of patients' clinical course and discharge outcome.

Publisher

Springer Science and Business Media LLC

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