Diagnostic Assessment Methods in Adults

Chapter 18


Diagnostic Assessment Methods in Adults




Overview


Thousands of people undergo “sleep studies” every day. These studies involve collecting electrophysiologic data in hospitals, freestanding sleep disorders centers, and patients’ homes. The vast majority of these studies rely on determining the presence, type, and severity of sleep-disordered breathing. A small percentage help diagnose narcolepsy, nocturnal seizures, parasomnias, and other sleep disorders, and a few will be conducted for research purposes. Until very recently, recording parameters, how tests were conducted, techniques applied for record review, and procedures used for data reduction varied substantially from one test facility to another. The increasing standardization largely stems from the American Academy of Sleep Medicine (AASM) developing and publishing a standardized clinical polysomnography (PSG) manual and a trend for third-party insurance carriers (and government programs) to require facility accreditation for procedure reimbursement. This chapter describes, summarizes, and discusses current AASM standards.


The diversity in methods and techniques of sleep research likely arises from the origin of “sleep medicine” as a research endeavor. Discovering recordable bioelectric correlates for suspected sleep problems paved the way for adopting the psychophysiologic research method known as polysomnography as the major procedure in sleep medicine. However, research methods designed to chart new frontiers in knowledge necessarily use diverse methods. Furthermore, researchers continually modify these methods to increase sensitivity, incorporate new technology, and widen the scope of inquiry. Nevertheless, as clinical utility for PSG grew, some de facto standards gained acceptance, and expert panels developed guidelines. The AASM manual was based largely on existing techniques, and its content represents the efforts of many individuals. Previous guidelines included the standardized manual for terminology, techniques, and scoring (see next section); the guidelines developed by the American Sleep Disorders Association (ASDA) task forces on arousal scoring and periodic leg movement scoring; and work by “the Chicago Group” on sleep-related breathing. The AASM manual, developed through the use of evidence-based research techniques, provides a single information source that describes how to record, score, and distill human sleep data for clinical purposes.



Sleep Staging


In 1937, Loomis and colleagues recorded the first known, continuous, all-night electrophysiologic sleep study. It became imperative to distill the massive amount of data collected into a manageable form immediately. Thus they invented sleep staging. During the following three decades, an assortment of sleep stage classification schemes emerged, culminating in the standardized technique described in A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages in Human Subjects. Doctors Allan Rechtschaffen and Anthony Kales chaired this project, thus the origin of its nickname, the “R and K manual.” It focused on normal sleep and established rules for sleep staging data recorded from adults. As pointed out in the first AASM scoring manual preface, “the rapidly emerging field of sleep medicine requires a more comprehensive system of standardized metrics that considers events occurring outside of normal brain activity.”



Recording


Standard PSG practice uses three types of electrophysiologic activity to categorize sleep into four different stages and differentiate it from wakefulness. The three electrophysiologic activities are 1) brain activity, 2) eye movements, and 3) skeletal muscle tone.



Electroencephalogram for Brain Activity


For classifying sleep stages, the AASM manual recommends recording frontal, central, and occipital electroencephalograms (EEGs)—specifically, monopolar derivations from F4, C4, and O2 linked to the contralateral mastoid (M). Backup electrodes are placed at homologous sites at left scalp loci. An alternative recording montage allows substitution of midline bipolar recordings from frontal and occipital derivations (Table 18-1, Figs. 18-1 through 18-3).







Eye Movements


To detect eye movements, electrodes are placed near the eyes’ right and left outer canthi (E2 and E1, respectively). The manual recommends a monopolar electrooculographic (EOG) montage, with E2 placed 1 cm above and E1 placed 1 cm below the outer canthus. When a lateral eye movement occurs, the positive corneal potential moves toward one electrode and away from the other. Therefore this electrode arrangement produces robust right-versus-left EOG out-of-phase activity when horizontal eye movements occur. Consequently, eye movements are easily differentiated by frontal EEG activity proximal to the EOG electrodes, which appears as an in-phase signal. Staggering the electrode placements slightly above and slightly below each eye’s horizontal plane allows some limited appreciation of vertical eye movements on the PSG. An alternative recording montage that allows better visualization of vertical eye movements (albeit sacrificing the in-phase/out-of-phase differentiation by frontal EEG activity) has both EOG placements 1 cm below the outer canthi and referenced to the middle of the forehead (see Table 18-1).




Staging





Stages




Stage N1.

Vertex sharp waves often herald sleep onset and thereby provide a valuable landmark for recognizing stage N1 sleep. Wakefulness usually transitions to either stage N1 or N2. Stage N1 is marked by a general slowing of background EEG activity with the appearance of theta and vertex sharp waves. N1 may also be marked by the cessation of blinking and saccadic eye movements and by the appearance of slow eye movements (Fig. 18-5). Although not required, N1 can be discerned by its low-voltage, mixed-frequency background EEG containing theta activity in the absence of slow waves, sleep spindles, K-complexes, prominent alpha activity, or REM. Sleep stage scoring reliability for stage N1 is substantially lower than for any other stage; this holds true for both interscoring and intrascoring agreement. This problem arises from stage N1 being largely defined by rules of exclusion rather than by clearly recognizable electrophysiologic events. Luckily, stage N1 is transitory and accounts for only a small percentage of the night’s sleep complement.





Stage N3.

When 6 or more seconds of slow-wave activity are present in an epoch, it is scored as stage N3 (Fig. 18-7). The designation N3 generally conforms to activity previously designated as slow-wave sleep because of the highly synchronized low-frequency activity. Slow-wave activity scoring requires 75 µV or greater peak-to-peak amplitude from a frontal derivation. However, it is important to realize that the recording montage dramatically affects EEG amplitude. Thus if a frontal EEG is recorded using the AASM alternate bipolar montage (Fz-Cz), amplitudes will be lower, and N3 sleep will be reduced. The AASM manual does not provide a guideline for amplitude adjustment; therefore stage N3 scoring should derive from the monopolar central lead included in the alternate montage.




Stage R.

Criteria for scoring REM sleep—or stage R sleep, as it has been renamed, although most will likely continue to call it REM sleep—remained essentially unchanged. Stage R is characterized by low-voltage, mixed-frequency EEG, very low chin EMG levels, and REM (Fig. 18-8). Sawtooth activity represents a unique variant of theta activity, containing waveforms with a notched or sawtooth-shaped appearance, frequently observed during stage R (Table 18-3).





Smoothing Rules


When an epoch contains characteristic features for more than one sleep stage, it is scored according to the characteristics that make up its majority. One source of scoring difficulty arises when epochs without actual eye movements are contiguous with REM sleep. The AASM manual does not address the concept of differentiation between phasic and tonic REM sleep (see Fig. 18-8). Nevertheless, this concept is widely used in research and can provide useful instruction in this matter. The term phasic REM sleep refers to epochs scored as stage R clearly accompanied by eye movements and sometimes by other phasic events. By contrast, an epoch designated as tonic REM sleep has the same background EEG activity, nearly completely diminished chin EMG, but lacks eye movements. If such an epoch occurred in isolation, it would likely be scored as N1; however, when surrounded by epochs of phasic REM sleep, it is considered stage R. In fact, N1-like epochs without eye movement contiguous with REM sleep continue to be scored as stage R until some indication occurs that another sleep process has emerged. Indicators can be a spindle, a K-complex, a CNS arousal, an increase in chin EMG, a body movement followed by slow eye movements, or the appearance of another scorable sleep stage in the first half of the epoch. The AASM manual provides examples to guide scoring decisions at stage transitions.



Arousal Scoring



Electroencephalogram Speeding and Central Nervous System Arousals


Sleep staging forms what may be called the “building blocks” of sleep macroarchitecture. Staging provides information useful for forming a general impression of sleep’s overall continuity and integrity. Staging also serves as a biomarker for detecting gross disturbances and for correlating pathophysiology with the organizational state of the CNS (i.e., REM, NREM, or wakefulness). Staging parameters, however, fail to capture transient sleep disturbances, which last less than 15 seconds. Therefore techniques are needed to identify brief CNS arousals that fail to meet the epoch scoring criteria for wakefulness.


CNS arousals involve an abrupt shift during sleep to faster EEG activities—including theta, alpha, and beta but not sleep spindles—for 3 seconds or longer. CNS arousal scoring rules largely derive from a previous concept called EEG speeding. Usually, the frequency shift manifests as alpha activity and is best visualized in occipital leads. For the shift to qualify as an arousal, the person must have been asleep for at least 10 seconds. Finally, during REM sleep, the EEG shift must be accompanied by at least 1 second of increased chin EMG tone (Fig. 18-9) because alpha bursts routinely appear during REM sleep and do not intrinsically represent pathophysiology. The 3-second duration was not arbitrary; it was the minimum arousal duration reliably scored by hand among the task force members. Undoubtedly, digital systems could reliably score shorter arousals, but the clinical significance of such events is not known.




Cyclic Alternating Pattern


The cyclic alternating pattern (CAP) refers to an EEG pattern seen during sleep (Fig. 18-10) in which EEG activity bursts—usually a high-amplitude slow, sharp, or polymorphic wave burst—alternate with periods of quiescence. The burst constitutes the A phase, and the quiescence is labeled the B phase. The Parma Groups, led by Terzano and Parrino, organized an international workshop during which recording and scoring techniques were codified. In essence, the A phase was subcategorized into three types based on the presence and duration of intermixed or intermingled EEG alpha activity. Type A1 contains little or no alpha EEG activity and consequently does not meet AASM arousal scoring criteria. Type A2 often meets AASM arousal criteria, and A3 meets AASM criteria 95% of the time. Sleep associated with A1 bursts is conceptualized as unstable but is preserved by a descending cortical response that helps reinforce a protective thalamic gating mechanism. By contrast, if the attempt to reinforce this gate fails, an arousal or awakening occurs, and an A3 burst is observed. A2 responses fall somewhere in between (Fig. 18-11).





Sleep-Related Breathing Disorders


It has taken many years and substantial educational effort, but the medical community now largely understands that sleep-related breathing disorders do not exclusively affect hypoventilating, morbidly obese patients. An estimated 90% or more of all PSG studies performed on any given night are conducted to diagnose or assess treatment for sleep-disordered breathing (SDB). Ironically, recording and scoring techniques for evaluating SDB were among the last to be standardized.



Recording Technique


Key features needed to assess SDB include airflow, respiratory effort, blood oxygenation, and sleep disturbance. The AASM manual recommends recording the four data channels when clinically evaluating adult patients with overnight PSG (see Table 18-1 for sampling rates and filter settings). This is done with 1) a thermal sensor at the nose and mouth to detect apnea; 2) a nasal pressure transducer to detect hypopnea; 3) either an esophageal manometer or chest/abdominal inductance plethysmograph—or, alternatively, intercostal EMG—to detect respiratory effort; and 4) a pulse oximeter with its signal averaged over 3 seconds or less.


Although end-tidal CO2 measurement is not recommended for adults by the AASM manual, it can be useful for quantifying hypoventilation. This volume contains illustrations of end-tidal CO2 recordings. Snoring sounds can help differentiate different types of SDB events, even though the means to use this parameter is not specified in the manual.


SDB scoring is event based, not time-domain based. Consequently, the 30-second fixed epoch length is not necessarily recommended. Scoring mainly involves identifying, counting, and characterizing discrete sequences of SDB events. Sleep-related respiratory signals are considerably slower than variations in EEG-EOG-EMG activity. Therefore viewing tracings over longer time frames can facilitate breathing pattern and event recognition. The viewing flexibility provided by digital PSG reflects a great advantage when scoring and interpreting sleep-related respiratory impairments. Nonetheless, the 30-second fixed epoch length specified by the AASM manual applied to sleep staging does affect SDB scoring. Sleep onset can occur during an epoch scored as stage W if it begins in the latter portion of an epoch. When apnea occurs in such a case, some tabulation programs do not count it because it is not recognized as sleep related. Similarly, when a sleep-related respiratory event occurs early enough during an epoch to provoke an awakening that renders the epoch to be staged as wakeful, again, some software fails to count the episode. Clinicians must determine how their digital systems handle such disconnects and must adjust summaries accordingly.

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Jul 11, 2016 | Posted by in NEUROLOGY | Comments Off on Diagnostic Assessment Methods in Adults

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