Department of Anesthesiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Center for Consciousness Science, Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA.
Br J Anaesth. 2021 Aug;127(2):236-244. doi: 10.1016/j.bja.2021.02.028. Epub 2021 Apr 15.
It is unclear how preoperative neurodegeneration and postoperative changes in EEG delta power relate to postoperative delirium severity. We sought to understand the relative relationships between neurodegeneration and delta power as predictors of delirium severity.
We undertook a prospective cohort study of high-risk surgical patients (>65 yr old) to identify predictors of peak delirium severity (Delirium Rating Scale-98) with twice-daily delirium assessments (NCT03124303). Participants (n=86) underwent preoperative MRI; 54 had both an MRI and a postoperative EEG. Cortical thickness was calculated from the MRI and delta power from the EEG.
In a linear regression model, the interaction between delirium status and preoperative mean cortical thickness (suggesting neurodegeneration) across the entire cortex was a significant predictor of delirium severity (P<0.001) when adjusting for age, sex, and performance on preoperative Trail Making Test B. Next, we included postoperative delta power and repeated the analysis (n=54). Again, the interaction between mean cortical thickness and delirium was associated with delirium severity (P=0.028), as was postoperative delta power (P<0.001). When analysed across the Desikan-Killiany-Tourville atlas, thickness in multiple individual cortical regions was also associated with delirium severity.
Preoperative cortical thickness and postoperative EEG delta power are both associated with postoperative delirium severity. These findings might reflect different underlying processes or mechanisms.
NCT03124303.
目前尚不清楚术前神经退行性变和术后脑电图 δ 功率变化与术后谵妄严重程度之间的关系。我们试图了解神经退行性变和 δ 功率作为谵妄严重程度预测指标之间的相对关系。
我们进行了一项前瞻性队列研究,纳入了高危手术患者(>65 岁),以确定预测谵妄严重程度(98 项谵妄评定量表)的预测因子,每日进行两次谵妄评估(NCT03124303)。参与者(n=86)接受了术前 MRI;54 人同时接受了 MRI 和术后脑电图检查。从 MRI 计算皮质厚度,从 EEG 计算 δ 功率。
在一个线性回归模型中,当调整年龄、性别和术前 Trail Making Test B 表现时,谵妄状态与整个皮质的术前平均皮质厚度(提示神经退行性变)之间的相互作用是谵妄严重程度的一个显著预测因子(P<0.001)。接下来,我们纳入了术后 δ 功率并重复了分析(n=54)。同样,平均皮质厚度与谵妄之间的相互作用与谵妄严重程度相关(P=0.028),术后 δ 功率也是如此(P<0.001)。当在 Desikan-Killiany-Tourville 图谱中进行分析时,多个皮质区域的厚度也与谵妄严重程度相关。
术前皮质厚度和术后脑电图 δ 功率均与术后谵妄严重程度相关。这些发现可能反映了不同的潜在过程或机制。
NCT03124303。