The Laryngoscope · 2023
Sleep Subdomain of the Sinonasal Outcome Test as a Potential Screening Tool for Sleep Apnea in Chronic Rhinosinusitis.
СтатьяНазвание и аннотация: Перевод в очереди
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Duffy Alexander N, Alapati Rahul, Chitguppi Chandala, D'Souza Glen, Parsel Sean M, Toskala Elina M, Rosen Marc R, Nyquist Gurston G, Rabinowitz Mindy R
Аннотация
OBJECTIVES: Approximately 20% of patients with chronic rhinosinusitis (CRS) have comorbid obstructive sleep apnea (OSA). Patients with undiagnosed OSA are at high risk for perioperative complications. The Sinonasal Outcomes Test (SNOT-22) Questionnaire is commonly administered to CRS patients, whereas OSA screening tools are less routinely employed. This study compared SNOT-22 sleep subdomain (Sleep-SNOT) scores among non-OSA CRS versus OSA-CRS patients undergoing ESS, and assessed sensitivity, specificity, and diagnostic accuracy of the Sleep-SNOT for OSA screening.
METHODS: Retrospective review of patients that underwent endoscopic sinus surgery (ESS) for CRS from 2012 to 2021. Patients either carried a reported OSA diagnosis and completed the SNOT-22, or had undocumented OSA status and completed both STOP-BANG and SNOT-22. Demographics, questionnaire scores, and OSA status were collected. A receiver operating characteristic (ROC) curve assessed cutoff scores, sensitivity, and specificity of the Sleep-SNOT for OSA screening.
RESULTS: Of 600 patients reviewed, 109 were included. 41% had comorbid OSA. OSA patients had a higher BMI (32.1 ± 7.7 vs. 28.35 ± 6.7 kg/m2 ; p = 0.02), Sleep-SNOT (21.96 ± 12.1 vs. 16.8 ± 11.2; p = 0.021) and STOP-BANG (3.1 ± 1.44 vs. 2.06 ± 1.27; p = 0.038) scores. A Sleep-SNOT score of 17.5 had a sensitivity of 68.9%, specificity of 55.7%, and diagnostic accuracy of 63% for OSA detection (p = 0.022).
CONCLUSIONS: Sleep-SNOT scores are greater for CRS-OSA patients. The Sleep-SNOT ROC curve demonstrates a high sensitivity, specificity, and accuracy for OSA screening in CRS patients. A Sleep-SNOT score of ≥17.5 should prompt further OSA evaluation. The Sleep-SNOT may be considered as a surrogate OSA screening tool when other validated tools are not employed.
LEVEL OF EVIDENCE: Retrospective chart review, Level 3 Laryngoscope, 133:2029-2034, 2023.
METHODS: Retrospective review of patients that underwent endoscopic sinus surgery (ESS) for CRS from 2012 to 2021. Patients either carried a reported OSA diagnosis and completed the SNOT-22, or had undocumented OSA status and completed both STOP-BANG and SNOT-22. Demographics, questionnaire scores, and OSA status were collected. A receiver operating characteristic (ROC) curve assessed cutoff scores, sensitivity, and specificity of the Sleep-SNOT for OSA screening.
RESULTS: Of 600 patients reviewed, 109 were included. 41% had comorbid OSA. OSA patients had a higher BMI (32.1 ± 7.7 vs. 28.35 ± 6.7 kg/m2 ; p = 0.02), Sleep-SNOT (21.96 ± 12.1 vs. 16.8 ± 11.2; p = 0.021) and STOP-BANG (3.1 ± 1.44 vs. 2.06 ± 1.27; p = 0.038) scores. A Sleep-SNOT score of 17.5 had a sensitivity of 68.9%, specificity of 55.7%, and diagnostic accuracy of 63% for OSA detection (p = 0.022).
CONCLUSIONS: Sleep-SNOT scores are greater for CRS-OSA patients. The Sleep-SNOT ROC curve demonstrates a high sensitivity, specificity, and accuracy for OSA screening in CRS patients. A Sleep-SNOT score of ≥17.5 should prompt further OSA evaluation. The Sleep-SNOT may be considered as a surrogate OSA screening tool when other validated tools are not employed.
LEVEL OF EVIDENCE: Retrospective chart review, Level 3 Laryngoscope, 133:2029-2034, 2023.