Adjustment of Non-invasive Positive Pressure Ventilation in Patients With Chronic Hypercapnic Ventilatory Failure Using Automated End-expiratory Pressure (AutoEEP) Algorithm
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- ResMed
- 入组人数
- 21
- 试验地点
- 2
- 主要终点
- Index of Apneoas Plus Hypopnoeas Per Hour of Sleep (AHI)
研究概览
简要总结
The aim of the study is to test the hypothesis that an automated algorithm for desired mask pressure improves breathing pattern and sleep quality in patients with hypercapnic ventilatory failure. For this purpose, The investigators will study different groups of patients, including those with obstructive and restrictive ventilatory defect, and obstructive sleep apnoea, non-naive to conventional bi-level positive airways pressure therapy.
详细描述
Persisting ventilatory failure associated with chronic obstructive pulmonary disease (COPD), obesity-hypoventilation-syndrome, sleep apnoea or neuromuscular disease is increasingly managed with domiciliary non-invasive positive pressure ventilation (NIPPV).
Optimal settings of non-invasive ventilation are usually titrated manually and require time and expertise. The development of systems lead to automated analysis and development of algorithms to adjust ventilators. However, there is a paucity of optimal algorithms, particularly the problem of upper airway obstruction. Therefore, the central aim of this study is to develop the automated setting of an end-expiratory positive airway pressure (EPAP), because upper airway obstruction is relatively common in this group of patients. We hypothesise that an automated end-expiratory airway pressure (AutoEEP) adjusting algorithm could overcome these problems and further optimise and adjust ventilator settings. Using non-invasive ventilation in patients with hypercapnic ventilatory failure, awake and asleep, we will measure physiological outcome parameters and apply an AutoEEP algorithm, comparing it against usual care.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Crossover
- 主要目的
- Treatment
- 盲法
- Single (Participant)
入排标准
- 年龄范围
- 18 Years 至 75 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Subjects will be patients not naive to noninvasive ventilation, and being so treated for any form of hypercapnic ventilatory failure.
- •Previously stabilised on bilevel noninvasive pressure support ventilation.
- •Both genders, age <75years.
- •Previously shown to have a requirement for an EEP above cm H2O in order to maintain upper airway patency, or those in whom such a raised EEP would be expected, e.g. obese patients.
- •Patients also known to have adequate airway patency at an EEP of 4 to 5 cm H2O will be included to ensure specificity of the algorithm.
排除标准
- •Acute critical illness (e.g. acute coronary syndrome, stroke)
- •Serious anatomical variations of nose, sinuses, pharynx or oesophagus.
- •Any condition at risk of oesophageal bleeding (e.g. oesophageal varices, gastric ulcer, etc.)
- •Age >75 years
- •Pregnancy
- •Psychiatric disorders that could possibly influence the study
- •Any kind of addiction
- •Insufficient knowledge of the language
- •Noninvasive ventilation otherwise contraindicated
结局指标
主要结局
Index of Apneoas Plus Hypopnoeas Per Hour of Sleep (AHI)
时间窗: On completion of each consecutive night of polysomnography.
The AHI is a count of the number of pauses during sleep a person experiences. The total number of apneas/ hypopneas (sleep pauses) are divided by the total sleep time to get an index for that night
次要结局
- Mean SpO2(On completion of each night of 2 consecutive nights polysomnography.)