Use of neuroelectrophysiological monitoring technology to analyze prognostic factors related with survival in patients with severe traumatic brain injury(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2023年第9期
- Page:
- 1151-1155
- Research Field:
- 医学生物物理
- Publishing date:
Info
- Title:
- Use of neuroelectrophysiological monitoring technology to analyze prognostic factors related with survival in patients with severe traumatic brain injury
- Author(s):
- CHEN Fang; XIE Wei; WEI Pan; LIU Xingzhi; LI Tiangui; ZENG Mengfei; XIAO Ming; JIANG Chun; ZHAO Baihao; CHEN Honglin
- Department of Neurosurgery, the First Peoples Hospital of Longquanyi District (Longquan Hospital, West China Hospital, Sichuan University), Chengdu 610100, China
- Keywords:
- Keywords: neuroelectrophysiological monitoring severe traumatic brain injury prognosis electroencephalogram somatosensory evoked potential motor evoked potential
- PACS:
- R35；R651.1
- DOI:
- DOI:10.3969/j.issn.1005-202X.2023.09.015
- Abstract:
- Abstract: Objective To explore the role of neuroelectrophysiological monitoring in predicting the prognosis in patients with severe traumatic brain injury (STBI), and to discuss the correlation. Methods A retrospective case-control study of 92 STBI patients was conducted. According to prognostic outcome, the patients were divided into good prognosis group (n=57) and poor prognosis group (n=35). The neuroelectrophysiological monitoring results of the two groups within 48 h after admission were compared. The value of electroencephalogram (EEG), somatosensory evoked potential and motor evoked potential in predicting STBI prognosis was analyzed using receiver operating characteristic (ROC) curve. The relationship between the results of neuroelectrophysiological monitoring and STBI prognosis was analyzed by Logistic regression model. Results The patients with moderate and severe EEG abnormalities, positive somatosensory evoked potential, and positive motor evoked potential accounted for 74.29%, 71.43%, and 71.43% in poor prognosis group, significantly different from 24.56%, 33.33%, and 35.09% in good prognosis group (P<0.05). Logistic regression model analysis showed that dilated pupils, loss of light reflex, GCS score<6, shock, cerebral hernia, moderate and severe EEG abnormalities, positive somatosensory evoked potential and positive motor evoked potential were independent risk factors for poor prognosis in STBI patients (P<0.05). The sensitivity, specificity and AUC of EEG in predicting poor prognosis were 74.29%, 75.44% and 0.759, respectively and those of somatosensory evoked potential were 71.43%, 66.67% and 0.690, respectively and those of motor evoked potential were 71.43%, 64.91% and 0.682, respectively. Conclusion Moderate and severe EEG abnormalities, positive somatosensory evoked potential and positive motor evoked potential are closely related to the poor prognosis in STBI patients, and EEG has certain clinical value in predicting poor prognosis.
Last Update: 2023-09-26