Zhongguo quanke yixue (Jun 2022)
Screening Value of Smartphone App Snoring Analysis Software for Obstructive Sleep Apnea hypopnea Syndrome
Abstract
Background The prevalence of obstructive sleep apnea hypopnea syndrome (OSAHS) is high. The development of telemedicine and mobile applications play an important role in the diagnosis and screening of OSAHS patients. Objective To evaluate the value of smartphone snoring analysis software Mianyun Sara in screening of Chinese adults with OSAHS. Methods One hundred and thirty patients〔mean age (49.7±17.4) years old, 70% male and 30% female, mean body mass index (28.2±5.0) kg/m2〕who were admitted to the Sleep Center of Peking University People's Hospital from April to December 2020 were selected and underwent overnight monitoring with Mianyun Sara and polysomnography (PSG) simultaneously. The relevant indicators generated by Mianyun Sara's automatic analysis and the relevant indicators interpreted by sleep professional technicians according to the recommended guidelines, the agreement between the apnea hypopnea index (AHI) derived from this method and PSG were evaluated, as well as the sensitivity and specificity of the diagnosis of OSAHS. Results (1) The total sleep time (TST) monitored by Mianyun Sara was 523.67 (497.50, 542.64) min, and the TST monitored by PSG was 408.25 (364.25, 462.50) min, the difference was statistically significant (Z=-9.540, P<0.001) . The AHI monitored by Mianyun Sara was 15.83 (6.18, 27.49) times/h, and the AHI monitored by PSG was 18.25 (6.15, 35.68) times/h, the difference was statistically significant (Z=-2.601, P=0.009) . (2) There was a positive correlation between the AHI obtained by the two monitoring methods (r=0.645, P<0.001) . Bland-Altman analysis showed that the AHIs measured by Mianyun Sara and PSG were statistically consistent, with an average difference of -5.7 times/h, and the 95% consistency limit of (-40.5, 29.2) times/h. (3) Taking AHI≥5 times/h as the gold standard for the diagnosis of OSAHS, Mianyun Sara's optimal diagnostic value for OSAHS was AHI>8.34 times/h, with a corresponding sensitivity of 83.81% and a specificity of 92.00%. The area under the curve (AUC) was 0.91 (0.84, 0.95) , the positive predictive value (PPV) was 97.8%, and the negative predictive value (NPV) was 57.5%, at different AHI thresholds (5, 15, 30 times/h) , the sensitivity/specificity corresponding to the best diagnostic value were 83.8%/92.0%, 88.2%/74.1% and 64.9%/91.4%, respectively. Conclusion Mianyun Sara has a good screening value for adult OSAHS patients and there is close agreement between Mianyun Sara and PSG.
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