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Accuracy of WatchPAT for the Diagnosis of Obstructive Sleep Apnea in Patients with Chronic Obstructive Pulmonary Disease
Open accessAbstract
The co-existence of chronic obstructive pulmonary disease (COPD) and obstructive sleep apnea (OSA), termed the overlap syndrome (OVS), is associated with adverse outcomes that may be reversed with treatment. However, diagnosis is limited by the apparent need for in-laboratory polysomnography (PSG). WatchPAT is a portable diagnostic device that is validated for the diagnosis of OSA that might represent an attractive tool for the diagnosis of OVS.Subjects with established COPD were recruited from a general population. Subjects underwent PSG and simultaneous recording with WatchPAT. Pulmonary function testing and questionnaires were also performed.A total of 36 subjects were recruited and valid data was obtained on 33 (age 63 ± 7, BMI 28 ± 7, 61% male, FEV1 56 ± 20% predicted). There was no significant difference in the apnea–hypopnea index (AHI) between PSG and WatchPAT (19 ± 20 versus 20 ± 15 events/h; mean difference 2(–2, 5) events/h; p = 0.381). The AHI was not significantly different in rapid eye movement (REM) and non-rapid eye movement (NREM) determined by PSG versus REM and NREM determined by WatchPAT. WatchPAT slightly overestimated total and REM sleep time, and sleep efficiency. The sensitivity of WatchPAT at an AHI cut-off of ≥5, ≥15, and ≥30 events/h for corresponding PSG AHI cut-offs was 95.8, 92.3, and 88.9, respectively; specificity was 55, 65.0, and 95.8, respectively.WatchPAT is able to determine OSA reliably in patients with COPD. The availability of this additional diagnostic modality may lead to improved detection of OVS, which may in turn lead to improved outcomes for a group of COPD patients at high risk of poor outcomes.
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The WatchPAT COPD study defined PSG respiratory events using only a 50% airflow drop without an associated desaturation.
“However, of note, this later study required only a 50% drop in airflow (no associated desaturation) to define a respiratory event on the PSG.”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [612]
The Protocol (page unavailable) says PSG was scored using Chicago criteria, and the Discussion (page unavailable) contrasts those criteria with defining hypopneas solely by 4% desaturation. Our copy does not specify a 50% airflow-drop threshold or say that an airflow drop alone defined every PSG respiratory event. (LLM, conf=0.82)
Experimental — accuracy not yet measuredIn stable Gold II and III COPD patients with OSA symptoms, WatchPAT HSAT had sensitivity of 92%-96%, specificity of 55%-65%, and 79% concordance with PSG for AHI >15.
“A small (N = 33) prospective single center cross-sectional study of patients with stable Gold II and III COPD and symptoms of OSA compared an HSAT (WatchPAT) to in lab PSG and found good sensitivity (92%–96%) with moderate specificities (55%–65%), and a concordance of 79% between the tests for an AHI > 15.”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [612]
The Abstract and Table 4 report sensitivity of 95.8% and 92.3% and specificity of 55.6% and 65.0% at AHI cut-offs of 5 and 15, respectively. The Results report 78.8% agreement in 33 subjects, but the Data analysis section defines that agreement as either both AHI values exceeding 15 or the values being within 10 events/hour—not simply concordance for AHI >15. The Subjects and Discussion sections describe an unselected, stable COPD cohort with GOLD stage 2 or higher, not a cohort restricted to GOLD II–III patients with OSA symptoms. Page numbers were not available in our copy. (LLM, conf=0.90)
Experimental — accuracy not yet measuredEvidence on using home sleep apnea testing to diagnose sleep-disordered breathing in COPD patients is limited, with only one Level 1b and one Level 3b study available.
“Limited data is available to assess the utility of HSATs in the diagnosis of SDB in patients with COPD (one Level 1b study and one Level 3b study).611,612”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [612]
The Introduction (page unavailable) identifies WatchPAT as a home sleep apnea testing device and says previous WatchPAT studies excluded patients with COPD; this paper therefore provides an example of the limited evidence the citing sentence describes. The paper does not establish that only two studies were available or assign them Level 1b and Level 3b classifications. (LLM, conf=0.82)
Experimental — accuracy not yet measured
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Metadata
- Authors
- Jen, R., Orr, J. E., Li, Y., DeYoung, P., Smales, E., Malhotra, A., & Owens, R. L.
- Affiliations
- University of British Columbia (CA)
- University of California San Diego (US)
- Beijing Tongren Hospital (CN)
- Corresponding author
- Jen, R.
- Venue
- COPD: Journal of Chronic Obstructive Pulmonary Disease
- Publisher
- Informa UK Limited
- Published
- 2020-01-02
- Volume
- 17
- Issue
- 1
- Pages
- 34-39
- ISSN
- 1541-2555 (ISSN-L)
- 1541-2563
- PMC
- PMC7052958
- OpenAlex
- W3000829152
- Semantic Scholar
- eacfb01b7fe783d5fa25346557060420e34c360e
- Cited by
- 53
- References
- 26
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 9 · 2023: 9 · 2022: 12 · 2021: 10 · 2020: 4
- FWCI
- 5.26
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- COPD Journal of Chronic Obstructive Pulmonary Disease (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Heart, Lung, and Blood Institute (T32HL134632, R01HL085188, K24HL132105)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Obstructive Sleep Apnea Research
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Keywords
- WatchPAT, obstructive sleep apnea, chronic obstructive pulmonary disease, overlap syndrome, home sleep monitoring, apnea-hypopnea index, diagnostic accuracy, polysomnography comparison, REM sleep, sleep efficiency
- MeSH terms
- Wearable Electronic Devices, Aged, Female, Forced Expiratory Volume, Heart Rate, Humans, Male, Manometry, Middle Aged, Oximetry, Surveys and Questionnaires, Snoring, Polysomnography, Monitoring, Ambulatory, Sleep Apnea, Obstructive, Pulmonary Disease, Chronic Obstructive, Actigraphy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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