Validation of actigraphy in hospitalised newborn infants using video polysomnography
Validation of actigraphy in hospitalised newborn infants using video polysomnography
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使用视频多导睡眠图验证住院新生儿体动记录仪
DOI：
10.1111/jsr.13437
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发表时间：
2021
影响因子：
4.4
通讯作者：
Iwata Osuke
中科院分区：
文献类型：
--
作者：
Unno Mitsuaki;Morisaki Toshihiro;Kinoshita Masahiro;Saikusa Mamoru;Iwata Sachiko;Fukaya Satoko;Yamashita Yushiro;Nakayama Meiho;Saitoh Shinji;Iwata Osuke
活动描记仪已被确定为成人睡眠评估的可靠工具；然而，它在新生儿中的效用尚不清楚。新生儿活动记录仪的验证可以为新生儿及其母亲成熟的昼夜睡眠模式的生理和病理获得过程以及随后的发病率提供重要的见解。因此，本研究旨在评估夜间活动记录仪在新生儿队列中的睡眠-觉醒检测的准确性。同时记录多导睡眠图和活动图数据的40名新生儿入住三级新生儿重症监护病房（NICU）。采用混合效应逻辑回归模型解释多导睡眠图识别的睡眠状态，以活动评分作为固定自变量，新生儿个体身份作为随机效应。为了评估活动记录仪评分作为睡眠替代指标的有效性，使用混合效应逻辑回归模型中使用的变量进行受试者工作特征（ROC）曲线分析，并评估曲线下面积（AUC）。结果显示，多导睡眠图确定的睡眠时间与活动图上较小的活动指数相关（每10个活动指数增加的比值比为0.81；95%可信区间[CI]， 0.79-0.84）。ROC曲线的AUC为0.87 （95% CI, 0.87 - 0.88；范围，0.54-0.99）。活动得分为124表示整体准确率最高
Actigraphy has been established as a reliable sleep assessment tool in adults; however, its utility in newborns remains unknown. Validation of actigraphy in newborns may provide a significant insight into the physiological and pathological acquisition process of mature diurnal sleep patterns and subsequent morbidities in both newborns and their mothers. Thus, this study aimed to evaluate the accuracy of sleep–wake detection by overnight actigraphy in a cohort of newborns. Simultaneous recording of polysomnography and actigraphy data was performed in 40 newborns admitted to a tertiary neonatal intensive care unit (NICU). A mixed-effects logistic regression model to explain the sleep state identified by polysomnography was employed using the actigraphic activity score as a fixed independent variable and the individual newborn’s identity as a random effect. To evaluate the usefulness of the actigraphic activity score as a surrogate marker of sleep, a receiver operating characteristic (ROC) curve analysis was performed using the variables that were used in the mixedeffects logistic regression model, and the area under the curve (AUC) was assessed. The results showed that polysomnography-determined sleep epochs were associated with a smaller activity index on actigraphy (odds ratio per 10 activity indices increase, 0.81; 95% confidence interval [CI], 0.79–0.84). The AUC for the ROC curve was 0.87 (95% CI, 0.87–0.88; range, 0.54–0.99). An activity score of 124 showed the maximum overall accuracy