A study suggests that positional oximetry is a clinically viable alternative to an auto-scored home sleep apnea test in the characterization of positional obstructive sleep apnea.
By Lisa Spear
In-lab polysomnography (PSG) continues to be the gold standard in diagnosing positional obstructive sleep apnea (POSA), but these studies, especially split-nights, can still result in positional components of sleep apnea being overlooked. Additionally, patients are increasingly doing sleep studies in their own homes. What if there was a simpler way to identify POSA? A team of researchers recently validated the use of oxygen desaturation index (ODI) to recognize positional sleep apnea. Their findings are published in Nature and Science of Sleep.
The use of oximetry is commonly used to screen for obstructive sleep apnea pre-surgically, in epidemiological studies, by dentists to titrate oral appliances, and internationally by general practitioners, says study first author Dan Levendowski, president and co-founder of Advanced Brain Monitoring, which markets Night Shift POSA therapy.
“We believed that each of these applications would benefit
from having positional information. For example, if a patient was identified
with positional OSA prior to surgery, supine avoidance could reduce the
OSA-impacted risk of post-surgical complications,” Levendowski says. “There was
also a trend toward dentists using oximetry rather than a level III device to
titrate oral appliances. Without having access to positional oximetry
information, we found that dentists were not optimizing the effectiveness of
the oral appliance.”
The study compared two approaches for identifying patients with POSA using automated scoring of home sleep study data without manual editing by a sleep technologist. One approach measured airflow, oximetry, pulse rate, snoring, and sleep position to calculate the apnea-hypopnea index (AHI), as typically used in home sleep apnea tests; the other approach used only oximetry and sleep position to measure the ODI.
According to the study, agreement between AHI and ODI values
for classifying positional obstructive sleep apnea were excellent. “Knowing
that ODI is a more robust signal than airflow with less data loss, this gives
clinicians confidence that simple and easily derived metrics can help guide
important clinical decision-making,” the authors …