Juan F Masa1, Joaquin Duran-Cantolla2, Francisco Capote3, Marta Cabello4, Jorge Abad5, Francisco Garcia-Rio6, Antoni Ferrer7, Ana M Fortuna8, Nicolas Gonzalez-Mangado9, Monica de la Peña10, Felipe Aizpuru11, Ferran Barbe12, Jose M Montserrat13. 1. San Pedro de Alcantara Hospital, Caceres, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain. 2. Bio-Araba Research Institute, Vitoria-Gasteiz, Spain; Alava University Hospital: Department of Medicine of Basque Country University, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain. 3. Virgen del Rocio Hospital, Sevilla, Spain. 4. Valdecilla Hospital, Santander, Spain. 5. Germans Trials i Pujos Hospital, Barcelona, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain. 6. La Paz Hospital, IdiPAZ, Madrid, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain. 7. Sabadell Hospital, Corporació Sanitària Parc Taulí, Institut Universitari Parc Tauli-UAB, Sabadell, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain. 8. Sta Creu i Sant Pau Hospital, Barcelona, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain. 9. IIS-Fundación Jimenez Diaz, Madrid, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain. 10. Son Espases Universitary Hospital, Palma de Mallorca, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain. 11. Bio-Araba Research Institute, Vitoria-Gasteiz, Spain; Alava University Hospital. 12. IRB Lleida, Lleida, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain. 13. Clinic Hospital, Barcelona, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Abstract
INTRODUCTION: Unlike other prevalent diseases, obstructive sleep apnea (OSA) has no simple tool for diagnosis and therapeutic decision-making in primary healthcare. Home single-channel nasal pressure (HNP) may be an alternative to polysomnography for diagnosis but its use in therapeutic decisions has yet to be explored. OBJECTIVES: To ascertain whether an automatically scored HNP apnea-hypopnea index (AHI), used alone to recommend continuous positive airway pressure (CPAP) treatment, agrees with decisions made by a specialist using polysomnography and several clinical variables. METHODS: Patients referred by primary care physicians for OSA suspicion underwent randomized polysomnography and HNP. We analyzed the total sample and both more and less symptomatic subgroups for Bland and Altman plots to explore AHI agreement; receiver operating characteristic curves to establish area under the curve (AUC) measurements for CPAP recommendation; and therapeutic decision efficacy for several HNP AHI cutoff points. RESULTS: Of the 787 randomized patients, 35 (4%) were lost, 378 (48%) formed the more symptomatic and 374 (48%) the less symptomatic subgroups. AHI bias and agreement limits were 5.8 ± 39.6 for the total sample, 5.3 ± 38.7 for the more symptomatic, and 6 ± 40.2 for the less symptomatic subgroups. The AUC were 0.826 for the total sample, 0.903 for the more symptomatic, and 0.772 for the less symptomatic subgroups. In the more symptomatic subgroup, 70% of patients could be correctly treated with CPAP. CONCLUSION: Automatic HNP scoring can correctly recommend CPAP treatment in most of more symptomatic patients with OSA suspicion. Our results suggest that this device may be an interesting tool in initial OSA management for primary care physicians, although future studies in a primary care setting are necessary. CLINICAL TRIALS INFORMATION: Clinicaltrial.gov identifier: NCT01347398.
INTRODUCTION: Unlike other prevalent diseases, obstructive sleep apnea (OSA) has no simple tool for diagnosis and therapeutic decision-making in primary healthcare. Home single-channel nasal pressure (HNP) may be an alternative to polysomnography for diagnosis but its use in therapeutic decisions has yet to be explored. OBJECTIVES: To ascertain whether an automatically scored HNP apnea-hypopnea index (AHI), used alone to recommend continuous positive airway pressure (CPAP) treatment, agrees with decisions made by a specialist using polysomnography and several clinical variables. METHODS: Patients referred by primary care physicians for OSA suspicion underwent randomized polysomnography and HNP. We analyzed the total sample and both more and less symptomatic subgroups for Bland and Altman plots to explore AHI agreement; receiver operating characteristic curves to establish area under the curve (AUC) measurements for CPAP recommendation; and therapeutic decision efficacy for several HNP AHI cutoff points. RESULTS: Of the 787 randomized patients, 35 (4%) were lost, 378 (48%) formed the more symptomatic and 374 (48%) the less symptomatic subgroups. AHI bias and agreement limits were 5.8 ± 39.6 for the total sample, 5.3 ± 38.7 for the more symptomatic, and 6 ± 40.2 for the less symptomatic subgroups. The AUC were 0.826 for the total sample, 0.903 for the more symptomatic, and 0.772 for the less symptomatic subgroups. In the more symptomatic subgroup, 70% of patients could be correctly treated with CPAP. CONCLUSION: Automatic HNP scoring can correctly recommend CPAP treatment in most of more symptomatic patients with OSA suspicion. Our results suggest that this device may be an interesting tool in initial OSA management for primary care physicians, although future studies in a primary care setting are necessary. CLINICAL TRIALS INFORMATION: Clinicaltrial.gov identifier: NCT01347398.
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