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An Actigraphy-Based Validation Study of the Sleep Disorder Inventory in the Nursing Home.

基于 Actigraphy 的养老院睡眠障碍量表的验证研究。

  • 影响因子:3.13
  • DOI:10.3389/fpsyt.2020.00173
  • 作者列表:"Hjetland GJ","Nordhus IH","Pallesen S","Cummings J","Tractenberg RE","Thun E","Kolberg E","Flo E
  • 发表时间:2020-03-13
Abstract

:Background: Disrupted sleep is common among nursing home patients with dementia and is associated with increased agitation, depression, and cognitive impairment. Detecting and treating sleep problems in this population are therefore of great importance, albeit challenging. Systematic observation and objective recordings of sleep are time-consuming and resource intensive and self-report is often unreliable. Commonly used proxy-rated scales contain few sleep items, which affects the reliability of the raters' reports. The present study aimed to adapt the proxy-rated Sleep Disorder Inventory (SDI) to a nursing home context and validate it against actigraphy. Methods: Cross-sectional study of 69 nursing home patients, 68% women, mean age 83.5 (SD 7.1). Sleep was assessed with the SDI, completed by nursing home staff, and with actigraphy (Actiwatch II, Philips Respironics). The SDI evaluates the frequency, severity, and distress of seven sleep-related behaviors. Internal consistency of the SDI was evaluated by Cronbach's alpha. Spearman correlations were used to evaluate the convergent validity between actigraphy and the SDI. Test performance was assessed by calculating the sensitivity, specificity, and predictive values, and by ROC curve analyses. The Youden's Index was used to determine the most appropriate cut-off against objectively measured sleep disturbance defined as <6 h nocturnal total sleep time (TST) during 8 h nocturnal bed rest (corresponding to SE <75%). Results: The SDI had high internal consistency and convergent validity. Three SDI summary scores correlated moderately and significantly with actigraphically measured TST and wake-after-sleep-onset. A cut-off score of five or more on the SDI summed product score (sum of the products of the frequency and severity of each item) yielded the best sensitivity, specificity, predictive values, and Youden's Index. Conclusion: We suggest a clinical cut-off for the presence of disturbed sleep in institutionalized dementia patients to be a SDI summed product score of five or more. The results suggest that the SDI can be clinically useful for the identification of disrupted sleep when administered by daytime staff in a nursing home context. Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT03357328.

摘要

背景: 睡眠中断在养老院痴呆患者中很常见,并且与激越、抑郁和认知障碍增加有关。因此,检测和治疗该人群的睡眠问题非常重要,尽管具有挑战性。睡眠的系统观察和客观记录耗时且资源密集,自我报告往往不可靠。常用的 proxy-rated 量表包含的睡眠项目较少,影响了答题者报告的可靠性。本研究旨在使代理评定的睡眠障碍量表 (SDI) 适应养老院环境,并对照活动描记法对其进行验证。方法: 横断面研究 69 名养老院患者,68% 名女性,平均年龄 83.5 (SD 7.1)。使用 SDI 评估睡眠,由养老院工作人员完成,并使用活动描记术 (Actiwatch II,Philips Respironics)。SDI 评估 7 种睡眠相关行为的频率、严重程度和痛苦。通过 Cronbach's α 评价 SDI 的内部一致性。采用 Spearman 相关性评价活动描记术和 SDI 之间的收敛效度。通过计算敏感性、特异性和预测值以及 ROC 曲线分析评估测试性能。Youden 指数用于根据客观测量的睡眠障碍 (定义为 <6 h 夜间总睡眠时间 (TST)) 确定最合适的临界值 8 h 夜间卧床期间 (对应 SE <75%)。结果: SDI 具有较高的内部一致性和收敛效度。三个 SDI 汇总评分与活动测量的 TST 和睡眠后觉醒发作中度和显著相关。SDI 汇总产品评分 (每个项目的频率和严重程度的产品总和) 的五个或更多的截止评分产生了最佳的灵敏度、特异性、预测值,还有 Youden 的索引.结论: 我们建议对机构痴呆患者存在睡眠紊乱的临床临界值为 5 分或以上的 SDI 汇总产品评分。结果表明,当日间工作人员在养老院环境中给药时,SDI 可用于识别睡眠中断。临床试验注册: www.ClinicalTrials.gov,标识符: nct03357328。

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发表时间:2020-01-29
DOI:10.1007/s11011-020-00536-z
作者列表:["Garabadu D","Singh D"]

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影响因子:4.30
发表时间:2020-01-24
来源期刊:Experimental neurology
DOI:10.1016/j.expneurol.2020.113212
作者列表:["Bertrand SJ","Zhang Z","Patel R","O'Ferrell C","Punjabi NM","Kudchadkar SR","Kannan S"]

METHODS::Sleep fragmentation is an increase in sleep-wake transitions without an overall decrease in total sleep time. Sleep fragmentation is well documented during acute and chronic hospitalization and can result in delirium and memory problems in children. Sleep fragmentation is also often noted in neurodevelopmental disorders. However, it is unclear how sleep fragmentation independent of disease affects brain development and function. We hypothesized that acute sleep fragmentation during the neonatal period in otherwise healthy animals would result in neuroinflammation and would be associated with abnormalities in cognitive development. The orbital shaker method was used to fragment sleep for 72 h in postnatal day 3 New Zealand white rabbit kits (fragmentation group). To control for maternal separation, the sham group was separated from the dam and maintained in the same conditions without undergoing sleep fragmentation. A naïve control group remained with the dam. Kits underwent behavioral testing with novel object recognition and spontaneous alternation T-maze tests at 2-3 weeks post-fragmentation and were sacrificed 3-50 days after fragmentation. Sleep fragmentation resulted in acute and chronic changes in microglial morphology in the hippocampus and cortex, and regional differences in mRNA expression of pro- and anti-inflammatory cytokines at 3, 7 and 50 days post-fragmentation. Impaired novel object recognition and a longer latency in T-maze task completion were noted in the fragmented kits. This was in spite of normalization of sleep architecture noted at 2 months of age in these kits. The results indicate that transient neonatal sleep fragmentation results in short-term and long-term immune alterations in the brain, along with diminished performance in cognitive tasks long-term.

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影响因子:1.52
发表时间:2020-01-27
来源期刊:World neurosurgery
DOI:10.1016/j.wneu.2020.01.108
作者列表:["Middlebrooks EH","Lin C","Okromelidze L","Lu CQ","Tatum WO","Wharen RE Jr","Grewal SS"]

METHODS:BACKGROUND:Deep brain stimulation (DBS) of the anterior nucleus of the thalamus (ANT) is a recently approved therapy for patients with drug-resistant epilepsy. To date, there is a poor understanding of the mechanism of action and lack of in vivo biomarkers. We propose a method for investigating the in vivo stimulation effects using blood-oxygen-level dependent (BOLD) MRI and present the brain activation pattern associated with ANT DBS. METHODS:Two patients undergoing ANT DBS for epilepsy underwent BOLD MRI using a block design after the DBS was programmed to alternate ON/OFF in 30 second blocks. The scanner was triggered utilizing surface electrophysiological recording to detect the DBS cycle. Nine total runs were obtained and were analyzed using a general linear model. RESULTS:Active ANT stimulation produced activation within several areas of the brain, including the thalamus, bilateral anterior cingulate and posterior cingulate cortex, precuneus, medial prefrontal cortex, amygdala, ventral tegmental area, hippocampus, striatum, and right angular gyrus. CONCLUSIONS:Utilizing block-design BOLD MRI, we were able to show widespread activation resulting from ANT DBS. Overlap with multiple areas of both the default mode and limbic networks was shown suggesting that these nodes may modulate the effect of seizure control with ANT DBS.

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