Department of Biology, University of Washington, Seattle, Washington, USA.
Division of Pulmonary and Sleep Medicine, Department of Pediatrics, University of Washington, Seattle, Washington, USA.
Chronobiol Int. 2022 Jan;39(1):117-128. doi: 10.1080/07420528.2021.1987451. Epub 2021 Oct 11.
Sleep disruption is common in pediatric intensive care unit (PICU) patients, but measuring sleep in this population is challenging. We aimed to evaluate the utility of actigraphy for estimating circadian rhythmicity in mechanically ventilated PICU patients and its accuracy for measuring sleep by comparing it to polysomnogram (PSG). We conducted a single-center prospective observational study of children 6 months - 17 years of age receiving mechanical ventilation and standard, protocolized sedation for acute respiratory failure, excluding children with acute or historical neurologic injury. We enrolled 16 children and monitored them with up to 14 days of actigraphy and 24 hours of simultaneous limited (10 channel) PSG. Daily actigraphy-based activity profiles demonstrated that patients had a high level of nighttime activity (30-41% of total activity), suggesting disrupted circadian activity cycles. Among n = 12 patients with sufficient actigraphy and PSG data overlap, actigraphy-based sleep estimation showed poor agreement with PSG-identified sleep states, with good sensitivity (94%) but poor specificity (28%), low accuracy (70%,) and low agreement (Cohen's kappa = 0.2, 95% CI = 0.08-0.31). Using univariate linear regression, we identified that Cornell Assessment of Pediatric Delirium scores were associated with accuracy of actigraphy but that other clinical factors including sedative medication doses, activity levels, and restraint use were not. In this population, actigraphy did not reliably discern between sleep and wake states. However, in select patients, actigraphy was able to distinguish diurnal variation in activity patterns, and therefore may be useful for evaluating patients' response to circadian-oriented interventions.
儿科重症监护病房 (PICU) 患者中常见睡眠中断,但在该人群中测量睡眠具有挑战性。我们旨在评估活动记录仪在机械通气的 PICU 患者中评估昼夜节律的实用性,并通过将其与多导睡眠图 (PSG) 进行比较来评估其测量睡眠的准确性。我们进行了一项单中心前瞻性观察研究,纳入了接受机械通气和标准、程序化镇静治疗急性呼吸衰竭的 6 个月至 17 岁儿童,排除了急性或既往神经系统损伤的儿童。我们纳入了 16 名儿童,使用活动记录仪监测他们最长 14 天,并同时进行 24 小时有限 (10 通道) PSG 监测。基于每日活动记录仪的活动概况表明,患者夜间活动水平较高 (总活动的 30-41%),提示昼夜活动周期中断。在 n = 12 名具有足够活动记录仪和 PSG 数据重叠的患者中,基于活动记录仪的睡眠估计与 PSG 确定的睡眠状态显示出较差的一致性,具有良好的敏感性 (94%)但较差的特异性 (28%)、低准确性 (70%)和低一致性 (Cohen's kappa = 0.2,95%CI = 0.08-0.31)。使用单变量线性回归,我们发现 Cornell 儿童谵妄评估评分与活动记录仪的准确性相关,但其他临床因素,包括镇静药物剂量、活动水平和约束使用与准确性无关。在该人群中,活动记录仪不能可靠地区分睡眠和清醒状态。然而,在一些特定患者中,活动记录仪能够区分活动模式的昼夜变化,因此可能有助于评估患者对昼夜节律导向干预的反应。