Chapter 25 - Polysomnography
Section snippets
Polysomnography
The roots of the modern-day polysomnogram (PSG) are credited to the work of Caton (1875), who discovered brain wave activity in animals in 1875. This very early finding led to the description of differences between wakefulness and sleep by Berger (1929), and ultimately contributed to the first continuous overnight EEG recording during sleep (Loomis et al., 1937). Further work by Aserinsky, Kleitman, Dement, and Jouvet in the 1950s established the utility of the combined use of
Overview
A routine PSG requires a comprehensive monitoring system to record sleep stages, limb movements, airflow, respiratory effort, heart rate and rhythm, oxygen saturation, and body position. This type of study, also known as a Type I (Level I) sleep study, is done in a sleep lab with a trained sleep technician present throughout the duration of the study. PSGs are primarily used to diagnose sleep-related breathing disorders (SRBDs), including OSA, central sleep apnea, and sleep-related
Carbon dioxide
While not required, many in-lab PSGs include evaluation of carbon dioxide levels to assess for hypoventilation during sleep. End tidal CO2 (EtCO2) is measured using a nasal cannula that detects the end of breath CO2 level during expiration. Alternatively, transcutaneous CO2 (TcpCO2) can be determined by using electrodes on the skin that measure CO2 as a product of respiration. TcpCO2 is frequently used in infants and children to avoid artifact and loss of signal that occurs more commonly with
Baseline PSG
A typical baseline PSG, also called a Type I (Level I) sleep study, includes the required measurements for EEG, EOG, chin and limb EMG, airflow signals, respiratory effort signals, oxygen saturation, ECG, and body position, to assess for SRBD and other signs of sleep disruptions, such as arousals or PLMs. Optional measurements include EtCO2 or TcpCO2, full EEG, or additional arm EMG leads.
PAP titration study
A PAP titration study is performed to evaluate effectiveness of various PAP therapies and pressure settings
Method for Reviewing and Interpreting PSGs
Interpretation of the sleep study includes review of the EEG, EOG, and EMG to stage each 30-s epoch of the entire recording. Arousals are also designated when present. The entire study is reviewed again in 2-min epochs to score respiratory events and limb movements. Body position is reviewed using video confirmation or body sensor devices. ECG is reviewed and any abnormalities are described. The sleep hypnogram is a diagram that is used to show an overview of the entire study (Fig. 25.2). A
Sleep architecture abnormalities
In-lab PSGs can identify abnormalities in sleep architecture. Sleep latency, calculated as time from start of study to sleep onset, is normally several minutes to 30 min in length. A very short sleep latency during a sleep study may suggest sleep deprivation. A prolonged sleep latency might suggest first-night effect (difficulty sleeping in a new environment) or insomnia (Ong et al., 2017). Additionally, a very high sleep efficiency, as calculated by total sleep time over total recording time,
Overview
Home sleep apnea testing (HSAT) is an alternative to PSG in the diagnosis of OSA. When used in accordance with the most recent clinical guidelines, HSAT can be part of the assessment and treatment of OSA (Collop et al., 2007; Kapur et al., 2017).
The HSAT is used only for the assessment of OSA in uncomplicated patients who are at moderate to high risk of OSA and who do not have comorbid medical conditions or other suspected sleep disorders (Table 25.1). HSAT is also not recommended in patients
Summary
PSG is considered to be the gold standard for the diagnosis of SRBD. Additionally, it can be used to evaluate a number of other sleep disorders, as well as to determine effectiveness of SRBD treatments. There are standardized methods and techniques for staging and scoring PSGs, which are included in the AASM scoring manual. Accredited sleep labs are required to follow AASM guidelines. HSAT can be utilized to confirm a diagnosis of OSA in patients who are considered to be at high risk for
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