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Long-term oxygen therapy improves survival in patients with severe hypoxia. However, some patients despite this oxygen, experience episodes of low oxygen levels (intermittent hypoxia) especially during sleep which may be harmful. In order to overcome this, the investigators have designed an auto-titrating oxygen system (called intelligent oxygen therapy) which automatically adjusts oxygen flow rates to maintain oxygen levels in patients already on oxygen. This study will investigate whether the intelligent oxygen therapy system can prevent intermittent hypoxia during sleep in patients already on long-term oxygen.
Long-term oxygen therapy (LTOT) improves survival in patients with chronic obstructive pulmonary disease (COPD) and severe persistent hypoxia. LTOT is prescribed at a fixed-flow rate with the aim of maintaining a partial pressure of oxygen greater than or equal to 8 kilopascals (kPa). However, a number of studies have demonstrated that patients on home LTOT experience episodes of intermittent hypoxia during rest, activities and especially sleep. Simply increasing the oxygen flow rate at night can relieve this hypoxia but at the expense of hyperoxia with its detrimental effects of hypercapnia and respiratory acidosis. Therefore, a more targeted approach is needed to oxygen delivery. The investigators have devised an auto-titrating oxygen system (intelligent oxygen therapy [iO2Ts]) which delivers variable flow oxygen to maintain a pre-set specific oxygen saturation ( SpO2) target. The system can avoid the dual hazards of hypoxia and hyperoxia and potentially optimise LTOT.
This study will be investigating whether the iO2Ts can reduce intermittent hypoxia during sleep compared to usual fixed flow oxygen in patients on LTOT. Nineteen patients will be recruited to undergo two sleep studies each on two different nights; one on their usual LTOT flow rate and one of the iO2Ts. During both sleep studies, all participants will have full polysomnography, oxygen and transcutaneous carbon dioxide monitoring. The primary outcome will the percentage of time spent with SpO2 < 90% during sleep.
Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Crossover Assignment, Masking: Single Blind (Subject), Primary Purpose: Treatment
Intelligent oxygen therapy system (iO2Ts)
Royal Brompton and Harefield NHS Foundation Trust
Imperial College London
Published on BioPortfolio: 2016-12-06T16:53:21-0500
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