ArticleScientific reports2019
Validation of peripheral arterial tonometry as tool for sleep assessment in chronic obstructive pulmonary disease.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.
- Home-testing devices for diagnosing obstructive sleep apnoea hypopnoea syndrome - a systematic review and economic evaluation.Health technology assessment (Winchester, England) · 2026Pooled it
- A meta-analysis of diagnostic test performance of peripheral arterial tonometry studies.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022Pooled it
- Performance Investigation of Somfit Sleep Staging Algorithm.Nature and science of sleep · 2024Trial
- From classic to cutting-edge: technological approaches to respiratory physiological signals in assessing sleep-disordered breathing.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026Review
- Why Sleep Matters in COPD: Cluster-Derived Sleep Phenotypes Reveal Distinct Physiological, Comorbidity and Survival Profiles.International journal of chronic obstructive pulmonary disease · 2026Article
- Diagnosis and Management of Overlap Syndrome (COPD-OSA): Evidence, Challenges and Prospects.Nature and science of sleep · 2026Review
- Enhancing artificial intelligence-driven sleep apnea diagnosis: The critical importance of input signal proficiency with a focus on mandibular jaw movements.Journal of prosthodontics : official journal of the American College of Prosthodontists · 2025Article
- Polysomnography validation of SANSA to detect obstructive sleep apnea.Frontiers in neurology · 2025Article
- Measurement of peripheral arterial tone to detect sleep-disordered breathing in patients with heart failure.Sleep & breathing = Schlaf & Atmung · 2024Article
- Down Syndrome-Basque Alzheimer Initiative (DS-BAI): Clinic-Biological Cohort.Journal of clinical medicine · 2024Article
- Peripheral arterial tonometry versus polysomnography in suspected obstructive sleep apnoea.European journal of medical research · 2023Article
- Clinical impact of routine sleep assessment by peripheral arterial tonometry in patients with COPD.ERJ open research · 2023Article
- The role of the WatchPAT device in the diagnosis and management of obstructive sleep apnea.Frontiers in sleep · 2023Review
- Correlations between home sleep apnea tests and polysomnography outcomes do not fully reflect the diagnostic accuracy of these tests.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022Article
- Diagnosis of Obstructive Sleep Apnea in Patients with Associated Comorbidity.Advances in experimental medicine and biology · 2022Review
- Effect of Dietary Nitrate Supplementation on Sleep in Chronic Obstructive Pulmonary Disease Patients.Nature and science of sleep · 2021Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obstructive sleep apnea (OSA) worsens outcomes in Chronic Obstructive Pulmonary Disease (COPD), and reduced sleep quality is common in these patients. Thus, objective sleep monitoring is needed, but polysomnography (PSG) is cumbersome and costly. The WatchPAT determines sleep by a pre-programmed algorithm and has demonstrated moderate agreement with PSG in detecting sleep stages in normal subjects and in OSA patients. Here, we validated WatchPAT against PSG in COPD patients, hypothesizing agreement in line with previous OSA studies. 16 COPD patients (7 men, mean age 61 years), underwent simultaneous overnight recordings with PSG and WatchPAT. Accuracy in wake and sleep staging, and concordance regarding total sleep time (TST), sleep efficiency (SE), and apnea hypopnea index (AHI) was calculated. Compared to the best fit PSG score, WatchPAT obtained 93% sensitivity (WatchPAT = sleep when PSG = sleep), 52% specificity (WatchPAT = wake when PSG = wake), 86% positive and 71% negative predictive value, Cohen's Kappa (κ) = 0.496. Overall agreement between WatchPat and PSG in detecting all sleep stages was 63%, κ = 0.418. The mean(standard deviation) differences in TST, SE and AHI was 25(61) minutes (p = 0.119), 5(15) % (p = 0.166), and 1(5) (p = 0.536), respectively. We conclude that in COPD-patients, WatchPAT detects sleep stages in moderate to fair agreement with PSG, and AHI correlates well.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.