RESUMEN
OBJECTIVES: Sleep issues are common in children with cerebral palsy (CP), although there are challenges in obtaining objective data about their sleep patterns. Actigraphs measure movement to quantify sleep but their accuracy in children with CP is unknown. Our goals were to validate actigraphy for sleep assessment in children with CP and to study their sleep patterns in a cross-sectional cohort study. METHODS: We recruited children with (N = 13) and without (N = 13) CP aged 2-17 years (mean age 9 y 11mo [SD 4 y 10mo] range 4-17 y; 17 males, 9 females; 54% spastic quadriplegic, 23% spastic diplegic, 15% spastic hemiplegic, 8% unclassified CP). We obtained wrist and forehead actigraphy with concurrent polysomnography for one night, and home wrist actigraphy for one week. We developed actigraphy algorithms and evaluated their accuracy (agreement with polysomnography-determined sleep versus wake staging), sensitivity (sleep detection), and specificity (wake detection). RESULTS: Our actigraphy algorithms had median 72-80% accuracy, 87-91% sensitivity, and 60-71% specificity in children with CP and 86-89% accuracy, 88-92% sensitivity, and 70-75% specificity in children without CP, with similar accuracies in wrist and forehead locations. Our algorithms had increased specificity and accuracy compared to existing algorithms, facilitating detection of sleep disruption. Children with CP showed lower sleep efficiency and duration than children without CP. CONCLUSIONS: Actigraphy is a valid tool for sleep assessment in children with CP. Children with CP have worse sleep efficiency and duration.
Asunto(s)
Actigrafía , Parálisis Cerebral , Adolescente , Parálisis Cerebral/complicaciones , Niño , Preescolar , Estudios Transversales , Femenino , Humanos , Masculino , Polisomnografía , SueñoRESUMEN
The gold standard for sleep monitoring is attended in-lab polysomnography; however, this method may be cost-prohibitive and inconvenient for patients and research participants. Home sleep testing has gained momentum in the field of sleep medicine due to its convenience and lower cost, as well as being more naturalistic. The accuracy and quality of home sleep testing, however, may be variable because studies are not monitored by sleep technologists. There has been some success in improving the accuracy of home sleep studies by having trained sleep technicians assist participants inside their homes with putting on the devices, but this can be intrusive and time-consuming for those involved. In this protocol, participants undergo at-home sleep monitoring with multiple devices: 1) a single-channel EEG device; 2) a home sleep test for sleep-disordered breathing and periodic limb movements; 3) actigraphy; and 4) sleep logs. A major challenge of this study is obtaining high-quality sleep monitoring data on the first attempt in order to minimize participant burden. This protocol describes the implementation of educational manuals with step-by-step instructions and photos. The goal is to improve the quality of home sleep testing.
Asunto(s)
Actigrafía/métodos , Electroencefalografía/métodos , Monitoreo Ambulatorio/métodos , Polisomnografía/métodos , Trastornos del Sueño-Vigilia/diagnóstico , Sueño/fisiología , Adulto , Anciano , Humanos , Persona de Mediana EdadRESUMEN
Sleep disturbances are associated with future risk of Alzheimer disease. Disrupted sleep increases soluble amyloid ß, suggesting a mechanism for sleep disturbances to increase Alzheimer disease risk. We tested this response in humans using indwelling lumbar catheters to serially sample cerebrospinal fluid while participants were sleep-deprived, treated with sodium oxybate, or allowed to sleep normally. All participants were infused with 13 C6 -leucine to measure amyloid ß kinetics. We found that sleep deprivation increased overnight amyloid ß38, amyloid ß40, and amyloid ß42 levels by 25 to 30% via increased overnight amyloid ß production relative to sleeping controls. These findings suggest that disrupted sleep increases Alzheimer disease risk via increased amyloid ß production. Ann Neurol 2018;83:197-204.
Asunto(s)
Péptidos beta-Amiloides/líquido cefalorraquídeo , Sueño/fisiología , Adulto , Enfermedad de Alzheimer/líquido cefalorraquídeo , Anestésicos/farmacología , Ritmo Circadiano , Femenino , Humanos , Cinética , Estudios Longitudinales , Masculino , Persona de Mediana Edad , Pruebas Neuropsicológicas , Fragmentos de Péptidos/líquido cefalorraquídeo , Proyectos Piloto , Trastornos del Sueño-Vigilia/líquido cefalorraquídeo , Oxibato de Sodio/farmacologíaRESUMEN
An accurate home sleep study to assess electroencephalography (EEG)-based sleep stages and EEG power would be advantageous for both clinical and research purposes, such as for longitudinal studies measuring changes in sleep stages over time. The purpose of this study was to compare sleep scoring of a single-channel EEG recorded simultaneously on the forehead against attended polysomnography. Participants were recruited from both a clinical sleep centre and a longitudinal research study investigating cognitively normal ageing and Alzheimer's disease. Analysis for overall epoch-by-epoch agreement found strong and substantial agreement between the single-channel EEG compared to polysomnography (κ = 0.67). Slow wave activity in the frontal regions was also similar when comparing the single-channel EEG device to polysomnography. As expected, Stage N1 showed poor agreement (sensitivity 0.2) due to lack of occipital electrodes. Other sleep parameters, such as sleep latency and rapid eye movement (REM) onset latency, had decreased agreement. Participants with disrupted sleep consolidation, such as from obstructive sleep apnea, also had poor agreement. We suspect that disagreement in sleep parameters between the single-channel EEG and polysomnography is due partially to altered waveform morphology and/or poorer signal quality in the single-channel derivation. Our results show that single-channel EEG provides comparable results to polysomnography in assessing REM, combined Stages N2 and N3 sleep and several other parameters, including frontal slow wave activity. The data establish that single-channel EEG can be a useful research tool.