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Can Respir J ; 2020: 1891285, 2020.
Article in English | MEDLINE | ID: mdl-33273990

ABSTRACT

Methods: Prospective study conducted in a university hospital. Subjects with a clinical suspicion of SAHS were included. All of them underwent home polygraphy and oximetry on the same night. A correlation was made between the apnea-hypopnea index (AHI) and the oximetry variables. The variable with the highest diagnostic value was calculated using the area under the curve (AUC), and the best cut-off point for discriminating between patients with SAHS and severe SAHS was identified. Results: One hundred and four subjects were included; 73 were men (70%); mean age was 52 ± 10.1 years; body mass index was 30 ± 4.1, and AHI = 29 ± 23.2/h. A correlation was observed between the AHI and oximetry variables, particularly ODI3 (r = 0.850; P < 0.001) and ODI4 (r = 0.912; P < 0.001). For an AHI ≥ 10/h, the ODI3 had an AUC = 0.941 (95% confidence interval (CI) = 0.899-0.982) and the ODI4, an AUC = 0.984 (95% CI = 0.964-1), with the ODI4 having the best cut-off point (5.4/h). Similarly, for an AHI ≥ 30/h, the ODI4 had an AUC = 0.922 (95% CI = 0.859-0.986), with the best cut-off point being 10.5/h. Conclusion: Nocturnal oximetry is useful for diagnosing and evaluating the severity of SAHS. The ODI4 variable was most closely correlated with AHI for both diagnosis.


Subject(s)
Oximetry , Sleep Apnea Syndromes , Adult , Body Mass Index , Female , Humans , Male , Middle Aged , Polysomnography , Prospective Studies , Sleep Apnea Syndromes/diagnosis
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