Publication: Watch Peripheral Arterial Tonometry in the Diagnosis of Pediatric Obstructive Sleep Apnea
Issued Date
2018-07-01
Resource Type
ISSN
10976817
01945998
01945998
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2-s2.0-85045340797
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Mahidol University
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SCOPUS
Bibliographic Citation
Otolaryngology - Head and Neck Surgery (United States). Vol.159, No.1 (2018), 166-172
Suggested Citation
Archwin Tanphaichitr, Arathaya Thianboonsong, Wish Banhiran, Vannipa Vathanophas, Kitirat Ungkanont Watch Peripheral Arterial Tonometry in the Diagnosis of Pediatric Obstructive Sleep Apnea. Otolaryngology - Head and Neck Surgery (United States). Vol.159, No.1 (2018), 166-172. doi:10.1177/0194599818768215 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/46537
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Title
Watch Peripheral Arterial Tonometry in the Diagnosis of Pediatric Obstructive Sleep Apnea
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Abstract
© American Academy of Otolaryngology—Head and Neck Surgery Foundation 2018. Objective: To assess the accuracy and clinical reliability of watch peripheral arterial tonometry (PAT) compared with polysomnography (PSG) for the diagnosis of pediatric obstructive sleep apnea (OSA). Study Design: Prospective, diagnostic test study. Setting: National tertiary referral hospital. Subjects and Methods: Patients aged 8 to 15 years with clinically suspected OSA were recruited. All participants underwent PSG and PAT simultaneously in the sleep laboratory. Results: Thirty-six patients were included, with a mean age of 10.2 ± 1.8 years. Median (interquartile range) of the apnea hypopnea index (AHI) was 8.0 (5.5-12) and 2.9 (0.5-7.5) events/h, median oxygen desaturation index (ODI) was 2.5 (1.4-8.3) and 1.3 (0.2-3.8) events/h, mean ± standard deviation total sleep time was 398.4 ± 38.3 and 401.9 ± 36.1 minutes, and mean minimum oxygen saturation was 87.1% ± 8.1% and 89.4% ± 7.1% for PSG and PAT sleep parameter results, respectively. Agreement between methods was excellent for the AHI (intraclass correlation coefficient [ICC]: 0.89; 95% CI, 0.40-0.96; P <.001) and ODI (ICC: 0.87; 95% CI, 0.69-0.94; P <.001). Correlation between methods was very good for the ODI (r = 0.83; 95% CI, 0.67-0.90; P <.001) and moderate for the AHI (r = 0.64; 95% CI, 0.30-0.85; P <.001). From the receiver operating characteristic curve constructed to assess PAT diagnostic capability, AHI of PAT (W-AHI) at a cutoff of 3.5 events/h provided the highest accuracy (76.9% sensitivity, 78.3% specificity), while W-AHI at 10 events/h yielded 91.3% specificity for diagnosing severe OSA. Conclusion: PAT correlated well and had good agreement with PSG. Children with W-AHI ≥10 had high specificity for the diagnosis of severe OSA. Larger studies with PAT designed for children across all age ranges and with a normal control group are still needed.