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Comparison of AutoSet TM and polysomnography for the detection of apnea-hypopnea events
Bagnato, M. C; Nery, L. E; Moura, S. M. T; Bittencourt, L. R. A; Tufik, S.
  • Bagnato, M. C; Universidade Federal de São Paulo. Escola Paulista de Medicina. Departamento de Psicobiologia.
  • Nery, L. E; Universidade Federal de São Paulo. Escola Paulista de Medicina. Disciplina de Pneumologia.
  • Moura, S. M. T; Universidade Federal de São Paulo. Escola Paulista de Medicina. Departamento de Psicobiologia.
  • Bittencourt, L. R. A; Universidade Federal de São Paulo. Escola Paulista de Medicina. Departamento de Psicobiologia.
  • Tufik, S; Universidade Federal de São Paulo. Escola Paulista de Medicina. Departamento de Psicobiologia.
Braz. j. med. biol. res ; 33(5): 515-9, May 2000. graf
Artículo en Inglés | LILACS | ID: lil-260245
RESUMO
The use of the flow vs time relationship obtained with the nasal prongs of the AutoSet TM (AS) system (diagnosis mode) has been proposed to detect apneas and hypopneas in patients with reasonable nasal patency. Our aim was to compare the accuracy of AS to that of a computerized polysomnographic (PSG) system. The study was conducted on 56 individuals (45 men) with clinical characteristics of obstructive sleep apnea (OSA). Their mean (+/- SD) age was 44.6 +/- 12 years and their body mass index was 31.3 +/- 7 kg/m2. Data were submitted to parametric analysis to determine the agreement between methods and the intraclass correlation coefficient was calculated. The Student t-test and Bland and Altman plots were also used. Twelve patients had an apnea-hypopnea index (AHI) < 10 in bed and 20 had values > 40. The mean (+/- SD) AHI PSG index of 37.6 (28.8) was significantly lower (P = 0.0003) than AHI AS (41.8 (25.3)), but there was a high intraclass correlation coefficient (0.93), with 0.016 variance. For a threshold of AHI of 20, AS showed 73.0 percent accuracy, 97 percent sensitivity and 60 percent specificity, with positive and negative predictive values of 78 percent and 93 percent, respectively. Sensitivity, specificity and negative predictive values increased in parallel to the increase in AHI threshold for detecting OSA. However, when the differences of AHI PSG-AS were plotted against their means, the limits of agreement between the methods (95 percent of the differences) were +13 and -22, showing the discrepancy between the AHI values obtained with PSG and AS. Finally, cubic regression analysis was used to better predict the result of AHI PSG as a function of the method proposed, i.e., AHI AS. We conclude that, despite these differences, AHI measured by AutoSetä can be useful for the assessment of patients with high pre-test clinical probability of OSA, for whom standard PSG is not possible as an initial step in diagnosis.
Asunto(s)
Texto completo: Disponible Índice: LILACS (Américas) Asunto principal: Diagnóstico por Computador / Polisomnografía / Apnea Obstructiva del Sueño Tipo de estudio: Estudio diagnóstico / Estudio observacional / Estudio pronóstico / Factores de riesgo Límite: Adolescente / Adulto / Femenino / Humanos / Masculino Idioma: Inglés Revista: Braz. j. med. biol. res Asunto de la revista: Biologia / Medicina Año: 2000 Tipo del documento: Artículo

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Texto completo: Disponible Índice: LILACS (Américas) Asunto principal: Diagnóstico por Computador / Polisomnografía / Apnea Obstructiva del Sueño Tipo de estudio: Estudio diagnóstico / Estudio observacional / Estudio pronóstico / Factores de riesgo Límite: Adolescente / Adulto / Femenino / Humanos / Masculino Idioma: Inglés Revista: Braz. j. med. biol. res Asunto de la revista: Biologia / Medicina Año: 2000 Tipo del documento: Artículo