Total sleep time is important in investigations of obstructive sleep apnoea
, since the diagnosis is usually based on the average number of apnoeas per
hour of sleep. Sleep estimates instead of exact EEG-recorded total sleep t
ime is often used in the clinical setting. However, an overestimated sleep
time would underestimate the degree of the disease and vice versa. The purp
ose of this study was to investigate the accuracy of subjective sleep time
and time-in-bed as sleep estimates.
One hundred patients undergoing diagnostic polysomnography for suspected ob
structive sleep apnoea were asked to estimate their sleep time in a questio
nnarie. Seventy-five patients were diagnosed as suffering from obstructive
sleep apnoea syndrome.
The mean difference between self-scored and EEG-recorded total sleep time w
as 4 +/- 74 min. However, 30% scored with a difference greater than 1 h. Th
e intra-class correlation coefficient was fair (0.58, CI: 0.43-0.70). Fifty
-three patients overestimated their sleep time and 47 patients underestimat
ed it. All but four patients underestimated their number of awakenings (P <
0.001). The mean difference between time-in-bed and LEG-recorded total sle
ep time was 110 +/- 63 min. This difference was significantly larger than t
he difference between subjective sleep time and EEG-recorded total sleep ti
me (P < 0.001). The intra-class correlation coefficient was poor (0.38, CI:
0.20-0.54). Mean AHI was 27 +/- 27 using subjective sleep time and did not
change significantly compared with the mean AHI of 25 +/- 21 based on EEG-
recorded total sleep time. Mean AHI decreased significantly to 20 +/- 17 (P
< 0.001) when time-in-bed was used.
In conclusion, 'time-in-bed' time is a poor predictor of total sleep time a
nd should not be used when calculating the apnoea-hypopnoea index. Subjecti
ve sleep time is better as an approximation, but the individual differences
are large.