Evaluation of an Algorithm to Detect Sleep and Wake in Continuous Positive Airway Pressure Users Using Paced Breathing
概览
- 阶段
- 不适用
- 干预措施
- 未指定
- 疾病 / 适应症
- Sleep Apnea, Obstructive
- 发起方
- Philips Respironics
- 入组人数
- 36
- 试验地点
- 1
- 主要终点
- Sleep/Wake Algorithm
- 状态
- 已完成
- 最后更新
- 12年前
概览
简要总结
The purpose of this engineering trial is to develop and validate an algorithm that will deliver Paced Breathing as a ramp feature to obstructive sleep apnea (OSA) subjects using Continuous Positive Airway Pressure (CPAP) therapy. In this trial the investigators will be evaluating the algorithm's ability to correctly distinguish between sleep and wake.
研究者
入排标准
入选标准
- •Age 21-70
- •Diagnosis of obstructive sleep apnea (OSA)
- •Current adherent CPAP user (has been using CPAP nightly for at least 2 weeks).
- •On CPAP pressures of 5-10cm.
- •Subjects wishing to complete a day or evening appointment need to have significant daytime sleepiness (Epworth Sleepiness Scale score of 8 or above)
- •Able and willing to provide written informed consent
- •English speaking
排除标准
- •Participation in another interventional research study within the last 30 days
- •Major controlled or uncontrolled medical condition such as congestive heart failure, neuromuscular disease, renal failure etc.
- •Inability to tolerate nasal CPAP mask due to problems breathing solely through their nose.
- •Chronic respiratory failure or insufficiency with suspected or known neuromuscular disease, moderate or severe chronic obstructive pulmonary disease (COPD), or any condition with an elevation of arterial carbon dioxide levels while awake (PaCo2≥55mmHg)
- •Severe oxygen desaturation on the polysomnography (PSG), i.e. Sa02 \< 70% for 10% of the study.
- •Surgery of the upper airway, nose, sinus or middle ear within the past 90 days
- •Currently using supplemental oxygen
- •Regular use of sleeping pills or stimulants (\> 3 nights a week)
- •Currently working night shift or rotating day/night shift
- •Drowsy Driving or near miss accident in the past 6 months
结局指标
主要结局
Sleep/Wake Algorithm
时间窗: The performance of the algorithm will be evaluated in real time while the subject is wearing the device during the sleep study, an average of 08 hours.
We tested the ability of the Sleep/Wake algorithm to identify sleep an wake periods with precision, as compared to standard polysonography (PSG) measures, which was used as the gold standard, i.e. we tested the accuracy of the algorithm. Accuracy was defined as the proportion of true results (both true positives and true negatives)in the population and it was assesed using as 2 X 2 table, i.e. accuracy = number of true positives + number of true negatives/ number of true positives + false positives + false negatives +true negatives. where True positive = the algorithm tested correctly identified sleep, False positive = the algorithm tested incorrectly identified sleep, True negative = the algorithm tested correctly rejected awake periods, and False negative = the algorithm tested incorrectly rejected awake periods.