Centre for Neuroscience Studies.
School of Medicine.
Ann Am Thorac Soc. 2021 Jan;18(1):112-121. doi: 10.1513/AnnalsATS.202002-093OC.
Studies suggest that reduced cerebral perfusion may contribute to delirium development in the intensive care unit (ICU). However, evidence is limited because of factors including small sample size and limited inclusion of covariates. To assess the feasibility of a multicenter prospective observational study using a multimodal data collection platform. Feasibility was assessed by enrollment, data-capture, and follow-up rates. The full study will aim to assess the association between noninvasively derived surrogate markers of cerebral perfusion, delirium development, and long-term cognitive outcomes in critically ill patients. Adult patients in the ICU were enrolled if they had shock and/or respiratory failure requiring invasive mechanical ventilation for >24 hours. For the first 72 hours, a near-infrared spectroscopic sensor was placed on the forehead to continuously monitor regional cerebral oxygenation (rSo) and high-frequency (1 Hz) vital signs were concurrently captured via an arterial line. Cerebral perfusion was estimated using three variables, including mean rSo, duration of disturbed autoregulation, and time/magnitude away from optimal mean arterial pressure (MAP). Patients were screened for delirium in the ICU and ward daily for up to 30 days. Cognitive function was assessed 3 and 12 months after ICU admission to identify cognitive impairment. Fifty-nine patients were enrolled across four sites in 1 year. Data-capture rates varied across modalities but exceeded 80% for rSo, blood gas, and delirium data capture. Vital-sign capture and 3-month follow-up rates were lower at 53% and 55%, respectively. Eighty-three percent (49 of 59) of patients experienced delirium, with a median severity of 0.56 in the ICU. Mean physiological (±standard deviation) values were: rSo (70.4% ± 7.0%), heart rate (83.9 ± 16.45 beats/min), MAP (76.4 ± 12.8 mm Hg), peripheral oxygenation saturation (96.5% ± 2.1%), proportion of recording time spent with disturbed autoregulation (10.1% ± 7.3%) and proportion of area under the curve outside optimal MAP (39.6% ± 22.4%). Thirty-two (54%) individuals had cerebral autoregulation curves where a targeted optimal MAP was identified. Barriers to data collection included missing vital-sign data and low follow-up rates. Given our current protocol, a multicenter study examining the association between cerebral oxygenation, delirium, and long-term cognitive impairment is not feasible. However, by performing an early assessment of feasibility, we identified strategies to increase capture rates to ensure success as the study begins the next phase of study recruitment.Clinical trial registered with clinicaltrials.gov (NCT03141619).
研究表明,脑灌注减少可能导致重症监护病房(ICU)中发生谵妄。然而,由于样本量小和纳入协变量有限等因素,证据有限。评估使用多模态数据采集平台进行多中心前瞻性观察研究的可行性。通过入组、数据采集和随访率评估可行性。这项研究的目的是评估危重患者中无创衍生的脑灌注替代标志物与谵妄发展和长期认知结局之间的关联。如果 ICU 中的成年患者有休克和/或需要机械通气>24 小时的呼吸衰竭,则将其纳入研究。在前 72 小时内,将近红外光谱传感器放置在前额上,以连续监测局部脑氧合(rSo),同时通过动脉线同步采集高频(1 Hz)生命体征。使用三个变量估算脑灌注,包括平均 rSo、干扰自动调节的持续时间以及偏离最佳平均动脉压(MAP)的时间/幅度。在 ICU 和病房中每天对患者进行谵妄筛查,最多 30 天。在 ICU 入院后 3 个月和 12 个月时评估认知功能,以确定认知障碍。在一年中,四个地点共招募了 59 名患者。各种模式的数据采集率不同,但 rSo、血气和谵妄数据采集率均超过 80%。生命体征采集和 3 个月随访率分别为 53%和 55%。83%(59 例中的 49 例)的患者发生了谵妄,在 ICU 中的中位数严重程度为 0.56。平均生理(±标准差)值为:rSo(70.4%±7.0%)、心率(83.9±16.45 次/分钟)、MAP(76.4±12.8mmHg)、外周氧饱和度(96.5%±2.1%)、受干扰自动调节的记录时间比例(10.1%±7.3%)和 MAP 以外的曲线下面积比例(39.6%±22.4%)。32 名(54%)个体的脑自动调节曲线确定了目标最佳 MAP。数据采集的障碍包括重要生命体征数据缺失和低随访率。根据我们目前的方案,一项检查脑氧合、谵妄和长期认知障碍之间关联的多中心研究是不可行的。然而,通过早期评估可行性,我们确定了增加采集率的策略,以确保研究开始下一阶段招募时取得成功。该临床试验已在 clinicaltrials.gov 注册(NCT03141619)。