0457 Cardiopulmonary Coupling as an alternative to classic Home Sleep Apnea Testing: Head to Head Assessment

نویسندگان

چکیده

Abstract Introduction Standard HSATs directly measure airflow and chest-movements to diagnose OSA. Indirect measures such as Cardiopulmonary-Coupling (CPC) now FDA approved “Software-as-a-medical-device” are gaining utilization. The assessment of CPC was from NPSG oximetry recordings which it compared. SleepImage (SI) recently made commercially available using ring-based oximetry. Out lab “real-life” validation or head-to-head comparisons SI-CPC-ring based traditional nasal cannula / strain gauge sensor HSTs has ever been published. We performed a Head-to-head study SI-CPC Ring system two different HSTs, ApneaLink (AL) by ResMed Z-Machine (ZM) General Sleep Corporation. ZM also provides an EEG derived sleep stage. Methods Patients undergoing AL HSAT studies were simultaneously placed on devices. Statistical assessments consisted Bland-Altman-plots correlation-coefficients assess for similarity these Here we report 3%AHI (analogous the 1A AHI) 4% AHI analogous 1B AHI). Additionally Total-Sleep-Time(TST) Efficency(Slp-Eff) reported with ZM, utilized provide parameters. Results AL-vs-SI-CPC N=44. ZM-vs-SI-CPC N=50. Bland-Altman-plot demonstrates provided statistically similar results. AL-3%AHI ( Ⴟ 20.3, +/-21.8) vs SI-sAHI3% 24.2, +/-25.2) MD: -6.641 (CI -10.127 -3.154) Range 3.800 110.000, R= 0.923 AL-4%AHI (Ⴟ 15.8 +/-21.4 ) SI-sAHI4% +/-25.5) 0.132 -2.489 2.753) 0.000 105.600, 0.952 ZM-3%AHI 15.2 +/-30.0) 13.8 +/-19.4) 1.334 -2.709 5.377) -27.121 29.789 R=0.92 ZM-4%AHI 1.5 +/-27.7) 8.9 +/-17.4) 1.598 -1.917 5.113) -23.135 26.331 R=0.95 ZM-TST 355 +/-92) SI-TST +/-86.0) 0.076 -24 24) -171 171 R=0.59 ZM-Slp-Eff 0.818 +/-0.115) SI-Slp-Eff 0.826 +/-0.120) -0.008 -0.044 0.027) -0.258 0.241 R=0.44 Conclusion is easier method administer than air-flow chest-sensors. This may enhance adoption this type testing, indirect since not inferior, demonstrated in our study. Support (if any)

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ژورنال

عنوان ژورنال: Sleep

سال: 2023

ISSN: ['0302-5128']

DOI: https://doi.org/10.1093/sleep/zsad077.0457