Author/Authors :
Esteban-Amarilla, Cristina Department of Respiratory Medicine - Pitie Salpetriere University Hospital, Paris, France , Martin-Bote, Silvia Department of Respiratory Medicine - Infanta Leonor University Hospital, Madrid, Spain , Jurado-Garcia, Antonio Physiotherapy Unit - San Juan de Dios Hospital, Cordoba, Spain , Palomares-Muriana, Ana Department of Respiratory Medicine - Hospital de Alta Resolucion, Puente Genil, Cordoba, Spain , Feu-Collado, Nuria Department of Respiratory Medicine - Reina Sofıa University Hospital, Cordoba, Spain , Jurado-Gamez, Bernabe Department of Respiratory Medicine - Reina Sofıa University Hospital, Cordoba, Spain
Abstract :
Background and Objective. To determine the diagnostic yield of nocturnal oximetry versus polygraphy for the diagnosis and
classification of sleep apnea hypopnea syndrome (SAHS). 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. (e 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. (e
ODI4 variable was most closely correlated with AHI for both diagnosis.