Making a deep impression by looking further than AHI

Easy, accurate,1 and comprehensive, our industry-leading WatchPAT® home sleep apnea tests (HSATs) are the right fit for your dental sleep practice

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When screening uncovers obstructive sleep apnea (OSA) risks in your dental patients, turn to WatchPAT® next. See how the comprehensive data delivered by our state-of-the-art products and services can make a true diagnostic difference:
When screening uncovers obstructive sleep apnea (OSA) risks in your dental patients, turn to WatchPAT® next. See how the comprehensive data delivered by our state-of-the-art products and services can make a true diagnostic difference:

Patients with REM-related OSA have lower, or even normal, AHI scores and report milder daytime symptoms, which can lead to misdiagnosis.2

WatchPAT® 300 and WatchPAT® ONE HSATs are powered by breakthrough PAT® technology, which can detect sleep stages and REM sleep apnea.

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When total recording time is used, 20% of cases are misdiagnosed/misclassified.3

With advanced actigraphy that differentiates between wake and sleep periods, WatchPAT® 300 and WatchPAT® ONE use true sleep time to calculate AHI and RDI.

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OSA severity can be misclassified and underestimated when body position is not taken into consideration.4 

Both WatchPAT® 300 and WatchPAT® ONE feature the WatchPAT® Central PLUS module, which measures your patient’s body position, as well as snoring and chest motion.
While OSA is typically treated with CPAP devices or oral appliances, treatment for central sleep apnea may begin by addressing the underlying health cause.5 

The Central PLUS module enables WatchPAT® 300 and WatchPAT® ONE to identify central sleep apnea and percentage of sleep time with Cheyne-Stokes respiration.
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Nearly 30% of patients with OSA have insomnia, which is associated with worse treatment outcomes, lower quality of life, and serious health issues.6-8 

NEW WatchPAT® with SleePATh® is an advanced, multifunctional app with an in-app questionnaire that evaluates insomnia, as well as daytime sleepiness, sleep scheduling, restless leg syndrome, and patient behavior and lifestyle.
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References: 1. Yalamanchali S, Farajian V, Hamilton C, Pott TR, Samuelson CG, Friedman M. Diagnosis of obstructive sleep apnea by peripheral arterial tonometry: meta-analysis. JAMA Otolaryngol Head Neck Surg. 2013;139(12):1343-1350. doi:10.1001/jamaoto.2013.5338 2. Chami HA, Baldwin CM, Silverman A, et al. Sleepiness, quality of life, and sleep maintenance in REM versus non-REM sleep-disordered breathing. Am J Respir Crit Care Med. 2010;181(9):997-1002. 3. Schutte – Rodin, et al. Comparison of AHI using recording time versus sleep time (abstract). J Sleep. 2014;(suppl):A373. 4. Eisenman NA, Westover MB, Ellenbogen JM, Bianchi MT. The impact of body posture and sleep stages on sleep apnea severity in adults. J Clin Sleep Med. 2012;8(6):655-666. 5. Singh J. Basics of central sleep apnea. Accessed June 3, 2021. https://www.acc.org/latest-in-cardiology/articles/2014/07/22/08/25/basics-of-central-sleep-apnea 6. Ong JC, Crawford MR. Insomnia and obstructive sleep apnea. Sleep Med Clin. 2013 September 1;8(3): 389-398, /j.jsmc.2013.04.004. 7. Bjornsdottir E., Keenan BT, Eysteinsdottir B, et al. Quality of life among untreated sleep apnea patients compared to the general population and changes after treatment with positive airway pressure. J Sleep Res. 2015;24(3):328-338./jsr.12262. 8. Punjabi NM, Patil S, Crainiceanu C, Aurora RN. Variability and misclassification of sleep apnea severity based on multi-night testing. Chest. 2020; 158(1):365-373.

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