Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA.
New York Presbyterian Hospital, New York, NY, USA.
Lancet Neurol. 2022 Aug;21(8):704-713. doi: 10.1016/S1474-4422(22)00212-5.
Recovery trajectories of clinically unresponsive patients with acute brain injury are largely uncertain. Brain activation in the absence of a behavioural response to spoken motor commands can be detected by EEG, also known as cognitive-motor dissociation. We aimed to explore the role of cognitive-motor dissociation in predicting time to recovery in patients with acute brain injury.
In this observational cohort study, we prospectively studied two independent cohorts of clinically unresponsive patients (aged ≥18 years) with acute brain injury. Machine learning was applied to EEG recordings to diagnose cognitive-motor dissociation by detecting brain activation in response to verbal commands. Survival statistics and shift analyses were applied to the data to identify an association between cognitive-motor dissociation and time to and magnitude of recovery. The prediction accuracy of the model that was built using the derivation cohort was assessed using the validation cohort. Functional outcomes of all patients were assessed with the Glasgow Outcome Scale-Extended (GOS-E) at hospital discharge and at 3, 6, and 12 months after injury. Patients who underwent withdrawal of life-sustaining therapies were censored, and death was treated as a competing risk.
Between July 1, 2014, and Sept 30, 2021, we screened 598 patients with acute brain injury and included 193 (32%) patients, of whom 100 were in the derivation cohort and 93 were in the validation cohort. At 12 months, 28 (15%) of 193 unresponsive patients had a GOS-E score of 4 or above. Cognitive-motor dissociation was seen in 27 (14%) patients and was an independent predictor of shorter time to good recovery (hazard ratio 5·6 [95% CI 2·5-12·5]), as was underlying traumatic brain injury or subdural haematoma (4·4 [1·4-14·0]), a Glasgow Coma Scale score on admission of greater than or equal to 8 (2·2 [1·0-4·7]), and younger age (1·0 [1·0-1·1]). Among patients discharged home or to a rehabilitation setting, those diagnosed with cognitive-motor dissociation consistently had higher scores on GOS-E indicating better functional recovery compared with those without cognitive-motor dissociation, which was seen as early as 3 months after the injury (odds ratio 4·5 [95% CI 2·0-33·6]).
Recovery trajectories of clinically unresponsive patients diagnosed with cognitive-motor dissociation early after brain injury are distinctly different from those without cognitive-motor dissociation. A diagnosis of cognitive-motor dissociation could inform the counselling of families of clinically unresponsive patients, and it could help clinicians to identify patients who will benefit from rehabilitation.
US National Institutes of Health.
患有急性脑损伤且无反应的临床患者的恢复轨迹在很大程度上是不确定的。通过脑电图(也称为认知运动分离)可以检测到对口语运动命令无行为反应时的大脑激活。我们旨在探索认知运动分离在预测急性脑损伤患者恢复时间方面的作用。
在这项观察性队列研究中,我们前瞻性地研究了两组独立的患有急性脑损伤且无反应的成年(≥18 岁)患者。通过检测对口头命令的大脑反应来应用机器学习来诊断认知运动分离。生存统计和移位分析应用于数据,以确定认知运动分离与恢复时间和恢复程度之间的关联。使用推导队列构建的模型的预测准确性使用验证队列进行评估。所有患者的功能结果均在出院时以及受伤后 3、6 和 12 个月使用格拉斯哥预后量表扩展版(GOS-E)进行评估。接受维持生命治疗撤出的患者被删失,死亡被视为竞争风险。
2014 年 7 月 1 日至 2021 年 9 月 30 日,我们对 598 名患有急性脑损伤的患者进行了筛查,并纳入了 193 名(32%)患者,其中 100 名在推导队列中,93 名在验证队列中。在 12 个月时,193 名无反应患者中有 28 名(15%)的 GOS-E 评分为 4 或以上。认知运动分离在 27 名(14%)患者中可见,是恢复良好时间缩短的独立预测因素(风险比 5.6 [95%CI 2.5-12.5]),创伤性脑损伤或硬膜下血肿也是如此(4.4 [1.4-14.0]),入院时格拉斯哥昏迷量表评分大于或等于 8(2.2 [1.0-4.7]),年龄较小(1.0 [1.0-1.1])。在出院回家或康复机构的患者中,与无认知运动分离的患者相比,诊断为认知运动分离的患者在 GOS-E 上的得分始终更高,表明功能恢复更好,这在受伤后 3 个月即可看出(比值比 4.5 [95%CI 2.0-33.6])。
患有认知运动分离的急性脑损伤后早期被诊断为无反应的患者的恢复轨迹明显不同于无认知运动分离的患者。认知运动分离的诊断可以为无反应患者的家属提供咨询,也可以帮助临床医生识别将从康复中受益的患者。
美国国立卫生研究院。