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Sleepiness is a curious construct. Any clinician evaluating sleep disorders patients invariably encounters it. Yet sleepiness is familiar to all of us at some time. That a medically relevant symptom should and can be distinguished from a ubiquitous, commonplace occurrence is not a new notion. How that distinction is to be made and differentiating the commonplace from a marker of disease, by virtue either of its frequency, its intensity, its timing, or perhaps other qualitative properties, only adds allure to the conundrum of the measurement of sleepiness. Traditionally, the value of an index of disease is ascertained through the properties of sensitivity/specificity and predictive value. But what happens when the process of measurement and even, perhaps, the construct itself are not the subject of consensus?
There are no shortage of methods introduced worldwide that have sought to quantify sleepiness. Self-reports represent one approach and include a panoply of developed scales ranging from the Stanford Sleepiness Scale, Epworth Sleepiness Scale, Sleep-Wake Activity Inventory, Karolinska Sleepiness Scale, and a variety of 100-mm linear scales. Physiological measurements represent another option that, at least in principle, should be more amenable to objective measurement and free from reporting biases. The Multiple Sleep Latency Test (MSLT) and Maintenance of Wakefulness Test (MWT) represent two of the most widely-accepted measurements. Other less commonly used methods but with great potential for ambulatory application are extent of eyelid closure and blink speed. Purely behavioral approaches, such as simple repetitive performance tasks (e.g., Wilkinson Addition Test), have a long history to detect sleepiness in experimental situations, whereas more recent behavioral measures rely upon computerized administration, have considerable face validity for lapses during driving (1, 2), and may be of great clinical relevance.
In the midst of this plethora of options of quantifying sleepiness, the current issue of this journal (pp. 1619-1625) (3) highlights a head-to-head comparison of two promising measures: the PVT (4), a test examining manual reaction time in
response to a randomly occurring flash, and the OSLER test
(5), a test requiring subjects to press a button in response to a
light regularly appearing every 1 of 3 s. Before describing the
authors' interpretation of their data, it is important to step
back and ask perhaps a more fundamental question: what exactly do we seek from a measure of sleepiness? When will we
know when the perennial search is over? The answer may well
vary from center to center, from clinician to clinician, and
from researcher to researcher, but a few basic tenets of measurement must hold. The measure must be reliable (at least
within the temporal confines for which this is possible, see below); it must reflect some element of functional impairment; it
must validly measure the underlying brain process(es) it purports to measure; it should have divergent validity (i.e., so as
to distinguish it from other related, yet conceptually different markers, such as depression and fatigue); it must reflect the effects of treatment designed to ameliorate its occurrence; and last, but certainly not least, it must be expeditiously administered and economically viable
a tall order indeed to measure
a phenomenon that most of us experience every night before
going to bed.
With this as background, Priest and coworkers (3) appear to
break new ground along the seemingly endless journey for establishing measurement of sleepiness
or do they? The OSLER
test is expeditiously administered, does not require electrophysiological monitoring, and according to Priest and coworkers, provides as valid a result with only three administrations
during the day as it does with four. The OSLER test may be
exquisitely sensitive to lapses in attention even apart from altered EEG (theta activity), although four consecutive misses
on the OSLER test also appear to be a good indicator of EEG-defined microsleeps. Priest and coworkers (3) also imply that
the OSLER test may be a better test of vigilance than the
PVT, but here they are simply wrong. Reanalysis of their data
presented in the web site indicates that both the PVT and OSLER reflect the effects of sleep deprivation, but effect sizes
for the PVT pre/postsleep deprivation were, in fact, larger (d = 2.04) than those calculated from the OSLER results (d = 1.55). Examination of the raw data suggests why that should
be the case. Because the OSLER test sessions are truncated at
40 min, this essentially provides a ceiling effect and limits the
variance in the test results. The PVT, by contrast, employs no
ceiling or floor and allows for a larger variance in scores. Thus,
to the aforementioned list can be added one additional, seemingly mundane, requirement for a measurement of sleepiness
that is largely statistical in nature
the procedure in question
should generate metrics that maximize, rather than truncate
or censor, variance.
One paradox regarding the measurement of sleepiness implicitly discussed by Priest and coworkers is the uneasy tension between conceptualizing sleepiness as a trait or as a state.
In the current study, a "state" notion is employed, inasmuch
as the authors are examining the PVT and OSLER before and
after sleep deprivation. As the authors point out, the sleepiness experienced by patients with sleep apnea or narcolepsy
(i.e., as a characteristic "trait") may be different in "intensity
or quality" from that experienced by the normal subjects in
their protocol. They are correct in not equating the two but
just how far does this go? In the general population, accumulating data suggest that sleepiness may be a trait with high heritability (6). Conversely, chronobiology teaches us that sleepiness varies by the hour, and perhaps even by the minute. Are
patients with sleep apnea and narcolepsy immune to such effects? When and how is their "trait" sleepiness manifested in a
"state"-like fashion? Whither sleepiness
state or trait? The
answer is probably somewhere in the middle. This issue also makes consideration of reliability of measurement particularly difficult: reliability over how much time under what conditions?
Neurobiologists stress that the ability to remain awake may arise from neural substrates different from the ability to fall asleep (7), a distinction that has a procedural counterpart in the distinction between the MWT and MSLT. Ironically, as basic scientists struggle to fully examine the systems underlying these phenomena, the differentiation of results based on these procedures often assumes great practical importance in the medical/legal arena. But the MSLT and MWT, which perhaps represent the current gold chalice for measurement of sleepiness, cannot be insulated from controversy. Questions still arise regarding the number of naps required (particularly relevant for issues of reliability), the preferential use of a mean or median to characterize an individual's "trait" level, the presence of normal rapid eye movement (REM) onsets (8), accrued sleep effects on subsequent naps, the effect of stimulation between naps, the number and type of signals that best capture sleep onset, and the value of defining sleep on the basis of 30 s epochs versus recognition of microsleeps.
Perhaps the most overlooked aspect in any discussion of sleepiness is thus the fundamental nature of the brain process we are measuring. In other words, what does it mean when a waking brain verbally reports "sleepiness" or cannot rapidly generate a motor response on a proximity switch? Is sleepiness best seen as a metabolic effect (9) or are short-term changes in particular molecules most relevant (e.g., adenosine,
nitric oxide, prostaglandins, ammonia-releasing brain lipids)? Might the newly-described orexin system be the most viable candidate to examine the intrusion of sleep onto wakefulness and vice versa? It may well be that the quest to attain the best measurement of sleepiness ultimately may end only when those brain mechanisms that define such processes on a second-to-second basis are better elucidated.
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