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Characterization of the CPAP-treated patient population in Catalonia
dc.contributor.author | Turino, Cecilia |
dc.contributor.author | Bertrán, Sandra |
dc.contributor.author | Gavaldà Mestre, Ricard |
dc.contributor.author | Teixidó, Ivan |
dc.contributor.author | Woehrle, Holger |
dc.contributor.author | Rué, Montserrat |
dc.contributor.author | Solsona, Francesc |
dc.contributor.author | Escarrabill, Joan |
dc.contributor.author | Colls, Cristina |
dc.contributor.author | García Altés, Anna |
dc.contributor.author | Batlle, Jordi de |
dc.contributor.author | Sánchez de la Torre, Manuel |
dc.contributor.author | Barbé, Ferran |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.date.accessioned | 2017-10-25T08:17:33Z |
dc.date.available | 2017-10-25T08:17:33Z |
dc.date.issued | 2017-09-21 |
dc.identifier.citation | Turino, C., Bertrán, S., Gavaldà, R., Teixidó, I., Woehrle, H., Rué, M., Solsona, F., Escarrabill, J., Colls, C., García, A., Batlle, J. de, Sánchez, M., Barbé, F. Characterization of the CPAP-treated patient population in Catalonia. "PLoS one", 21 Setembre 2017, vol. 12, p. 1-12. |
dc.identifier.issn | 1932-6203 |
dc.identifier.uri | http://hdl.handle.net/2117/109111 |
dc.description.abstract | There are different phenotypes of obstructive sleep apnoea (OSA), many of which have not been characterised. Identification of these different phenotypes is important in defining prognosis and guiding the therapeutic strategy. The aim of this study was to characterise the entire population of continuous positive airway pressure (CPAP)-treated patients in Catalonia and identify specific patient profiles using cluster analysis. A total of 72,217 CPAP-treated patients who contacted the Catalan Health System (Cat-Salut) during the years 2012 and 2013 were included. Six clusters were identified, classified as “Neoplastic patients” (Cluster 1, 10.4%), “Metabolic syndrome patients” (Cluster 2, 27.7%), “Asthmatic patients” (Cluster 3, 5.8%), “Musculoskeletal and joint disorder patients” (Cluster 4, 10.3%), “Patients with few comorbidities” (Cluster 5, 35.6%) and “Oldest and cardiac disease patients” (Cluster 6, 10.2%). Healthcare facility use and mortality were highest in patients from Cluster 1 and 6. Conversely, patients in Clusters 2 and 4 had low morbidity, mortality and healthcare resource use. Our findings highlight the heterogeneity of CPAP-treated patients, and suggest that OSA is associated with a different prognosis in the clusters identified. These results suggest the need for a comprehensive and individualised approach to CPAP treatment of OSA. |
dc.format.extent | 12 p. |
dc.language.iso | eng |
dc.rights | Attribution 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada::Estadística biosanitària |
dc.subject.lcsh | Cluster analysis |
dc.subject.lcsh | Sleep apnea syndromes |
dc.subject.other | Obstructive sleep-apnea |
dc.subject.other | Positive airway pressure |
dc.subject.other | Cardiovascular events |
dc.title | Characterization of the CPAP-treated patient population in Catalonia |
dc.type | Article |
dc.subject.lemac | Anàlisi de conglomerats |
dc.subject.lemac | Síndromes d'apnea del son |
dc.contributor.group | Universitat Politècnica de Catalunya. LARCA - Laboratori d'Algorísmia Relacional, Complexitat i Aprenentatge |
dc.identifier.doi | 10.1371/journal.pone.0185191 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0185191 |
dc.rights.access | Open Access |
local.identifier.drac | 21563356 |
dc.description.version | Postprint (published version) |
local.citation.author | Turino, C.; Bertrán, S.; Gavaldà, R.; Teixidó, I.; Woehrle, H.; Rué, M.; Solsona, F.; Escarrabill, J.; Colls, C.; García, A.; Batlle, J. de; Sánchez, M.; Barbé, F. |
local.citation.publicationName | PLoS one |
local.citation.volume | 12 |
local.citation.startingPage | 1 |
local.citation.endingPage | 12 |
dc.identifier.pmid | 28934303 |
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