Publication:
Longitudinal Study of Therapeutic Adherence in a Cystic Fibrosis Unit: Identifying Potential Factors Associated with Medication Possession Ratio.

dc.contributor.authorGirón, Rosa Mª
dc.contributor.authorPeláez, Adrián
dc.contributor.authorIbáñez, Amparo
dc.contributor.authorMartínez-Besteiro, Elisa
dc.contributor.authorGómez-Punter, Rosa Mar
dc.contributor.authorMartínez-Vergara, Adrián
dc.contributor.authorAncochea, Julio
dc.contributor.authorMorell, Alberto
dc.date.accessioned2025-01-22T15:32:48Z
dc.date.available2025-01-22T15:32:48Z
dc.date.issued2022-11-16
dc.description.abstractCystic fibrosis (CF) is a genetic and multisystemic disease that requires a high therapeutic demand for its control. The aim of this study was to assess therapeutic adherence (TA) to different treatments to study possible clinical consequences and clinical factors influencing adherence. This is an ambispective observational study of 57 patients aged over 18 years with a diagnosis of CF. The assessment of TA was calculated using the Medication Possession Ratio (MPR) index. These data were related to exacerbations and the rate of decline in FEV percentage. Compliance was good for all CFTR modulators, azithromycin, aztreonam, and tobramycin in solution for inhalation. The patients with the best compliance were older; they had exacerbations and the greatest deterioration in lung function during this period. The three variables with the highest importance for the compliance of the generated Random Forest (RF) models were age, FEV%, and use of Ivacaftor/Tezacaftor. This is one of the few studies to assess adherence to CFTR modulators and symptomatic treatment longitudinally. CF patient therapy is expensive, and the assessment of variables with the highest importance for a high MPR, helped by new Machine learning tools, can contribute to defining new efficient TA strategies with higher benefits.
dc.description.peerreviewed
dc.format.number(11)
dc.format.page1637
dc.format.volume11
dc.identifier.citationAntibiotics (Basel). 2022 Nov 16;11(11):1637.
dc.identifier.journalAntibiotics
dc.identifier.pubmedID36421281
dc.identifier.urihttps://hdl.handle.net/20.500.12105/26100
dc.language.isoeng
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.publisherversionhttps://10.3390/antibiotics11111637
dc.repisalud.institucionCNIC
dc.repisalud.orgCNICCNIC::Unidades técnicas::Bioinformática
dc.rights.accessRightsopen access
dc.rights.licenseAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectCFTR modulators
dc.subjectMPR
dc.subjectantibiotics
dc.subjectcystic fibrosis
dc.subjectmachine learning
dc.subjectrandom forest
dc.subjecttherapeutic adherence
dc.titleLongitudinal Study of Therapeutic Adherence in a Cystic Fibrosis Unit: Identifying Potential Factors Associated with Medication Possession Ratio.
dc.typeresearch article
dc.type.hasVersionVoR
dspace.entity.typePublication

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