A new tool to screen patients with severe obstructive sleep apnea in the primary care setting: a prospective multicenter study

Background: The coordination between different levels of care is essential for the management of obstructive sleep apnea (OSA). The objective of this multicenter project was to develop a screening model for OSA in the primary care setting. Methods: Anthropometric data, clinical history, and symptoms...

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Detalhes bibliográficos
Autores: Peñacoba P., Llauger M.A., Fortuna A.M., Flor X., Sampol G., Pedro-Pijoan A.M., Grau N., Santiveri C., Juvanteny J., Aoiz J.I., Bayó J., Lloberes P., Mayos M., Domínguez Olivera L., Valverde Trillo P., Santos Santos M.ªÁ., Farga Martínez M.ªM., Reverté Simó M., Argemí Saburit N., Medrano Medrano C., Puig García M.
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Recursos:Institut d’Investigació Biomèdica Sant Pau (IIB Sant Pau)
Repositorio:r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
OAI Identifier:oai:iibsantpau.fundanetsuite.com:p15280
Acesso em linha:https://iibsantpau.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=15280
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123258606&doi=10.1186%2fs12890-022-01827-0&partnerID=40&md5=ec00dfbfa3fe02f008fd793e19720b25
Access Level:acceso abierto
Palavra-chave:Obstructive sleep apnea
Continuous positive airway pressure (CPAP)
Primary healthcare
Sleep unit
Screening model
Home sleep apnea test
Descrição
Resumo:Background: The coordination between different levels of care is essential for the management of obstructive sleep apnea (OSA). The objective of this multicenter project was to develop a screening model for OSA in the primary care setting. Methods: Anthropometric data, clinical history, and symptoms of OSA were recorded in randomly selected primary care patients, who also underwent a home sleep apnea test (HSAT). Respiratory polygraphy or polysomnography were performed at the sleep unit to establish definite indication for continuous positive airway pressure (CPAP). By means of cross-validation, a logistic regression model (CPAP yes/no) was designed, and with the clinical variables included in the model, a scoring system was established using the beta coefficients (PASHOS Test). In a second stage, results of HSAT were added, and the final accuracy of the model was assessed. Results: 194 patients completed the study. The clinical test included the body mass index, neck circumference and observed apneas during sleep (AUC 0.824, 95% CI 0.763-0.886, P < 0.001). In a second stage, the oxygen desaturation index (ODI) of 3% (ODI3% >= 15%) from the HSAT was added (AUC 0.911, 95% CI 0.863-0.960, P < 0.001), with a sensitivity of 85.5% (95% CI 74.7-92.1) and specificity of 67.8% (95% CI 55.1-78.3). Conclusions: The use of this model would prevent referral to the sleep unit for 55.1% of the patients. The two-stage PASHOS model is a useful and practical screening tool for OSA in primary care for detecting candidates for CPAP treatment.