ArticleFujita medical journal2022
Availability of Home sleep apnea test equipment LS-140 on a comparison with Polysomnography.
Article in Fujita medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Clinical study of two mandibular advancement devices in the treatment of Obstructive Sleep Apnea: a pilot randomized controlled trial.BMC oral health · 2024Trial
- Non-constraining and non-contact monitoring of respiratory rate at awake and apnea and hypopnea during sleep using a millimeter wave radar.Sleep and biological rhythms · 2026Article
- Multisensor Integrated Platform Based on MEMS Charge Variation Sensing Technology for Biopotential Acquisition.Sensors (Basel, Switzerland) · 2024Article
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Authors and funding
25 authors.
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Abstract
objectiveThe prevalence of obstructive sleep apnea (OSA) in Japan is 9% among males and 3% among females. Up to 2.5 million patients are estimated to suffer from the disease, but limited number of facilities are capable of carrying out polysomnography (PSG), leaving more than 80% of these individuals are undiagnosed. In recent years, the development of new portable sleep monitoring (PMs) devices has been remarkable. We evaluate the correlation between the results of the LS-140 PMs device (Fukuda Denshi Tech Co. Ltd.), released in 2017, and those of PSG.
methodsWe obtained contemporaneous data from the same patients by equipping 58 patients with PMs (LS-140) devices while they underwent PSG. Our primary outcome was Case 2 of the intraclass correlation coefficient (ICC), i.e., the ICC (2.1). And we used a Bland-Altman analysis to compare the apnea-hypopnea index (AHI) given by PSG and the respiratory event index (REI) given by LS-140 and examined the sensitivity and specificity of the REI relative to the AHI in the diagnosis of OSA. We also carried out the same comparison but in terms of the presence or absence of periodic limb movements (PLMs).
resultsThe ICC (2.1) between The REI and the AHI was 0.944, a rather high value (p<0.0001). The mean difference between AHI and REI values was -3.6 (p<0.0001), indicating a negative fixed bias. Sensitivity may decrease in groups with PLMs.
conclusionThe REI and the AHI are highly correlated, giving LS-140 sufficient diagnostic sensitivity and specificity to screen for OSA.
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