A multidimensional assessment to improve the Evaluation and Treatment of Hypersomnolence

2016 Strategic Research Award

David Plante, MD
University of Wisconsin

Key Project Outcomes

The research that has stemmed from this award has demonstrated that sleepiness is a common problem experienced in the population, but that quantifying somnolence in the everyday practice of sleep medicine is complex. The tools typically used to quantify daytime sleepiness, such as the multiple sleep latency test, do a good job at measuring the ability to fall asleep, but are not able to capture other aspects of sleepiness that may be important to patients such as drowsiness or the ability to maintain vigilance. Thus, this research underscores the need to develop an increasing number valid of ways to quantify different aspects of hypersomnolence, to ultimately improve research in disorders of excessive daytime sleepiness and the care of these patients in sleep medicine practice.

Journal Articles

SLEEP MEDICINE

Identifying Subtypes of Hypersomnolence Disorder: A clustering analysis

JOURNAL OF CLINICAL SLEEP MEDICINE

Optimizing Actigraphic Estimation of Sleep Duration in Suspected Idiopathic Hypersomnia

JOURNAL OF SLEEP RESEARCH

Ability of the Fitbit Alta HR to quantify and classify sleep in patients with suspected central disorders of hypersomnolence: A comparison against polysomnography

JOURNAL OF CLINICAL SLEEP MEDICINE

Ability of the Multisensory Jawbone UP3 to Quantify and Classify Sleep in Patients With Suspected Central Disorders of Hypersomnolence: A Comparison Against Polysomnography and Actigraphy