The risk factors associated with traumatic subdural effusion for patients with traumatic brain injury who did not undergo decompressive craniectomy.

PURPOSE: The main aim of this study was to investigate the risk factors of traumatic subdural effusion (TSE) development in traumatic brain injury (TBI) patients who did not undergo decompressive craniectomy (DC). METHODS: This is a retrospective study based on a database of patients treated in a single institution from January 2020 to January 2022. The clinical and demographic characteristics of the enrolled patients, including gender, age, Glasgow Coma Scale score at admission, characteristics of the initial CT scan on admission, mechanism of injury and the mannitol treatment were recorded retrospectively. RESULTS: Two hundred fifty-four patients with TBI who did not receive DC were enrolled in this study. Among them, 78 (30.71%) patients were assigned to the TSE group, while 176 patients (69.29%) without TSE were assigned to the control group. Univariate analysis showed that patients in the TSE group were more likely to be male (p = 0.019), older (p < 0.001), have a subarachnoid haemorrhage (p = 0.016) and have a basal cistern haemorrhage (p = 0.014). Logistic regression analysis identified that older age (odds ratio [OR] = 1.056, p < 0.001), presence of subarachnoid haemorrhage (OR = 2.022, p = 0.018) and presence of basal cistern haemorrhage (OR = 2.861, p = 0.027) were risk factors independently associated with the development of TSE. CONCLUSION: Our results showed that older age, presence of subarachnoid haemorrhage and presence of basal cistern haemorrhage were risk factors independently associated with the development of TSE for TBI patients without DC.

Therapeutic Effect of Electronic Endoscopic Hematoma Removal on Hypertensive Basal Ganglia Cerebral Hemorrhage Based on Smart Medical Technology.

The medical and health industry has successively experienced three stages of digital medical treatment, local area network medical treatment, and internet medical treatment. With the rapid development of technologies such as the Internet of Things, big data, and artificial intelligence, emerging applications and service models have gradually penetrated into all aspects of the medical and health field. At this point, the informatization development process of the medical industry has entered the stage of smart medical treatment. (Smart medical system is a new medical system that improves users' medical experience and provides users with better services. Due to the cumbersome, complicated, and mechanically rigid environment of the past medical service, there was no uniform standard. In order to create a reliable and open medical service environment, an intelligent medical system came into being.). A diversified technical foundation and smart medical protection, conducive to providing patients with high-quality medical services, are established. This article mainly introduces the analysis of the therapeutic effect of smart medical electronic endoscopic hematoma removal on hypertensive basal ganglia cerebral hemorrhage and aims to inject advanced technology and vitality of smart medical treatment into the treatment of hypertensive basal ganglia cerebral hemorrhage by hematoma removal and help the doctor to treat the patient. This article proposes the research methods of smart medical application in the treatment of hypertensive basal ganglia cerebral hemorrhage with electronic endoscopic hematoma removal, including smart medical overview, intracranial hematoma removal for hypertensive basal ganglia cerebral hemorrhage, and smart medical bioelectric signal classification. The recognition algorithm is used to realize the smart medical application of the electronic endoscopic hematoma removal in the treatment of hypertensive cerebral hemorrhage in the basal ganglia area. The experimental results show that the removal of intracranial hematoma based on smart medicine can effectively improve the removal rate of intracranial hematoma, with a recovery rate of 26.73% and a significant efficiency of 36.49%.