Accuracy of the sleep clinical record for the diagnosis of pediatric moderate-to-severe obstructive sleep apnea syndrome

Abstract

Purpose: The sleep clinical record (SCR) has been used to diagnose obstructive sleep apnea syndrome (OSAS) in children when access to polysomnography (PSG) is limited. Our aim was to determine the best SCR score that could facilitate diagnosis of moderate-to-severe OSAS in children with snoring. Methods: Healthy children with history of snoring, who were referred for PSG, were prospectively recruited. The SCR score was calculated. Receiver operating characteristic curves (ROCs) were plotted to determine the area under curve (AUC), and the optimum SCR cutoff value was determined using the Youden index (J). Results: Two hundred and seventy-three children were recruited (mean age 6.3 ± 2.5 years; median obstructive apnea–hypopnea index 1.5 episodes/h; range 0–61.1). The mean SCR score was 6.9 ± 3.6. Forty-six children had moderate-to-severe OSAS. Subjects with moderate-to-severe OSAS had a significantly higher mean SCR score (10.2 ± 2.9) than those with mild OSAS (6.2 ± 3.3; P < 0.001). Based on the plotted ROC, the AUC was 0.811 (95% confidence interval: 0.747–0.876; P < 0.001). Calculation of J, based on its ROC coordinates, indicated that the optimum cutoff SCR score to predict moderate-to-severe OSAS was 8.25, corresponding to a sensitivity of 83% and a specificity of 70%. Conclusion: Among children with history of snoring, an SCR score above 8.25 can identify those with moderate-to-severe OSAS. © 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.