ArticleSleep & breathing = Schlaf & Atmung2013
An electrocardiogram-based analysis evaluating sleep quality in patients with obstructive sleep apnea.
Article in Sleep & breathing = Schlaf & Atmung, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 38 citations in OpenAlex.
- Ambulatory screening tool for sleep apnea: analyzing a single-lead electrocardiogram signal (ECG).Sleep & breathing = Schlaf & Atmung · 2018Trial
- Bupropion response on sleep quality in patients with depression: implications for increased cardiovascular disease risk.European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology · 2014Trial
- Association of self-reported and objective sleep disturbance with the spectrum of gastroesophageal reflux disease.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Article
- Effect of short-term mindfulness-based stress reduction on sleep quality in male patients with alcohol use disorder.Frontiers in psychiatry · 2023Article
- Self-Awareness of Sleep Apnea Symptoms Among Middle-Aged and Elderly People in Taiwan.Frontiers in psychiatry · 2022Article
- Cardiopulmonary Sleep Spectrograms Open a Novel Window Into Sleep Biology-Implications for Health and Disease.Frontiers in neuroscience · 2021Review
- Electrocardiogram-based sleep analysis for sleep apnea screening and diagnosis.Sleep & breathing = Schlaf & Atmung · 2020Article
- Validation of a portable monitoring device for the diagnosis of obstructive sleep apnea: electrocardiogram-based cardiopulmonary coupling.Sleep & breathing = Schlaf & Atmung · 2019Article
- Precision epidemiology for infectious disease control.Nature medicine · 2019Review
- Drug-induced sleep endoscopy-directed adenotonsillectomy in pediatric obstructive sleep apnea with small tonsils.PloS one · 2019Article
- Wearables in Medicine.Advanced materials (Deerfield Beach, Fla.) · 2018Article
- Diffusion of the Digital Health Self-Tracking Movement in Canada: Results of a National Survey.Journal of medical Internet research · 2018Article
- High-Definition Medicine.Cell · 2017Review
- The effect of continuous positive airway pressure on cardiopulmonary coupling.Sleep & breathing = Schlaf & Atmung · 2017Article
- The Rise of Consumer Health Wearables: Promises and Barriers.PLoS medicine · 2016Review
- Consumer Sleep Technologies: A Review of the Landscape.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2015Review
- Cardiopulmonary coupling analysis: changes before and after treatment with a mandibular advancement device.Sleep & breathing = Schlaf & Atmung · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe study compares polysomnography (PSG) and cardiopulmonary coupling (CPC) sleep quality variables in patients with (1) obstructive sleep apnea (OSA) and (2) successful and unsuccessful continuous positive airway pressure (CPAP) response. PATIENTS/
methodsPSGs from 50 subjects (32 F/18 M; mean age 48.4 ± 12.29 years; BMI 34.28 ± 9.33) were evaluated. OSA patients were grouped by no (n = 16), mild (n = 13), and moderate to severe (n = 20) OSA (apnea-hypopnea index (AHI) ≤ 5, >5-15, >15 events/h, respectively). Outcome sleep quality variables were sleep stages in non-rapid eye movement, rapid eye movement sleep, and high (HFC), low (LFC), very low-frequency coupling (VLFC), and elevated LFC broad band (e-LFCBB). An AHI ≤ 5 events/h and HFC ≥ 50 % indicated a successful CPAP response. CPC analysis extracts heart rate variability and QRS amplitude change that corresponds to respiration. CPC-generated spectrograms represent sleep dynamics from calculated coherence product and cross-power of both time series datasets.
resultsT tests differentiated no and moderate to severe OSA groups by REM % (p = 0.003), HFC (p = 0.007), VLFC (p = 0.007), and LFC/HFC ratio (p = 0.038) variables. The successful CPAP therapy group (n = 16) had more HFC (p = 0.003), less LFC (p = 0.003), and e-LFCBB (p = 0.029) compared to the unsuccessful CPAP therapy group (n = 8). PSG sleep quality measures, except the higher arousal index (p = 0.038) in the unsuccessful CPAP group, did not differ between the successful and unsuccessful CPAP groups. HFC ≥ 50 % showed high sensitivity (77.8 %) and specificity (88.9 %) in identifying successful CPAP therapy.
conclusionsPSG and CPC measures differentiated no from moderate to severe OSA groups and HFC ≥ 50 % discriminated successful from unsuccessful CPAP therapy. The HFC ≥ 50 % cutoff showed clinical value in identifying sleep quality disturbance among CPAP users.
Indexed as
Identifiers
What OpenQuestion holds
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.