Abstract
Introduction:
Uncontrolled asthma can cause sleep disruption. Accelerometer devices have been validated against polysomnography to measure sleep parameters. No studies have used accelerometers to compare sleep outcomes between asthma severity groups.
Aim:
We hypothesised that sleep parameters may vary between mild asthma (MA) and difficult-to-treat asthma (DTA) and performed a post-hoc analysis from two recent in-house trials (ID NCT03630432, NCT03858608).
Methods:
7-day data from 133 participants with MA and DTA were collected using ActiGraph GT3X+ (ActiGraph, Pensacola, Florida, USA) devices. Sleep variables extracted include mean sleep window time (SWT), sleep time (ST), sleep efficiency (SE), sleep onset time (SOT) and wake onset time (WOT). Significance was set at p≤0.05 for comparisons between MA and DTA groups. Data reported as hours:minutes/24-hour clock where appropriate.
Results:
9/133 patients were excluded (lack of data) leaving 124 datasets: 44 MA, 80 DTA. Median SWT was 07:49 (06:29 to 08:56); median ST was 06:35 (5:02 to 7:45); median SE was 85%. Median SOT was 00:08 (23:02 to 01:23) and WOT 07:54 (06:48 to 09:22). No differences were seen between MA and DTA in SWT, ST, SE and WOT. There was a difference in SOT between MA and DTA (23:41 [22:52 to 00:45] vs 00:24 [23:16 to 02:02] respectively, p = 0.019).
Discussion:
Accelerometery has shown no clinically relevant differences in sleep parameters between MA and DTA. Results are comparable to general population results previously reported [Plekhanova, T. et al. Journal for the Measurement of Physical Behaviour, 2020;3(4):294-303]. Prospective studies with associated sleep quality questionnaires are needed to confirm our findings.
Uncontrolled asthma can cause sleep disruption. Accelerometer devices have been validated against polysomnography to measure sleep parameters. No studies have used accelerometers to compare sleep outcomes between asthma severity groups.
Aim:
We hypothesised that sleep parameters may vary between mild asthma (MA) and difficult-to-treat asthma (DTA) and performed a post-hoc analysis from two recent in-house trials (ID NCT03630432, NCT03858608).
Methods:
7-day data from 133 participants with MA and DTA were collected using ActiGraph GT3X+ (ActiGraph, Pensacola, Florida, USA) devices. Sleep variables extracted include mean sleep window time (SWT), sleep time (ST), sleep efficiency (SE), sleep onset time (SOT) and wake onset time (WOT). Significance was set at p≤0.05 for comparisons between MA and DTA groups. Data reported as hours:minutes/24-hour clock where appropriate.
Results:
9/133 patients were excluded (lack of data) leaving 124 datasets: 44 MA, 80 DTA. Median SWT was 07:49 (06:29 to 08:56); median ST was 06:35 (5:02 to 7:45); median SE was 85%. Median SOT was 00:08 (23:02 to 01:23) and WOT 07:54 (06:48 to 09:22). No differences were seen between MA and DTA in SWT, ST, SE and WOT. There was a difference in SOT between MA and DTA (23:41 [22:52 to 00:45] vs 00:24 [23:16 to 02:02] respectively, p = 0.019).
Discussion:
Accelerometery has shown no clinically relevant differences in sleep parameters between MA and DTA. Results are comparable to general population results previously reported [Plekhanova, T. et al. Journal for the Measurement of Physical Behaviour, 2020;3(4):294-303]. Prospective studies with associated sleep quality questionnaires are needed to confirm our findings.
| Original language | English |
|---|---|
| Article number | 463 |
| Journal | European Respiratory Journal |
| Volume | 60 |
| DOIs | |
| Publication status | Published - 1 Dec 2022 |