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Longitudinal Study of Therapeutic Adherence in a Cystic Fibrosis Unit: Identifying Potential Factors Associated with Medication Possession Ratio
Cystic 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 a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687051/ https://www.ncbi.nlm.nih.gov/pubmed/36421281 http://dx.doi.org/10.3390/antibiotics11111637 |
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author | Girón, Rosa Mª Peláez, Adrián Ibáñez, Amparo Martínez-Besteiro, Elisa Gómez-Punter, Rosa Mar Martínez-Vergara, Adrián Ancochea, Julio Morell, Alberto |
author_facet | Girón, Rosa Mª Peláez, Adrián Ibáñez, Amparo Martínez-Besteiro, Elisa Gómez-Punter, Rosa Mar Martínez-Vergara, Adrián Ancochea, Julio Morell, Alberto |
author_sort | Girón, Rosa Mª |
collection | PubMed |
description | Cystic 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(1) 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(1)%, 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. |
format | Online Article Text |
id | pubmed-9687051 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96870512022-11-25 Longitudinal Study of Therapeutic Adherence in a Cystic Fibrosis Unit: Identifying Potential Factors Associated with Medication Possession Ratio Girón, Rosa Mª Peláez, Adrián Ibáñez, Amparo Martínez-Besteiro, Elisa Gómez-Punter, Rosa Mar Martínez-Vergara, Adrián Ancochea, Julio Morell, Alberto Antibiotics (Basel) Article Cystic 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(1) 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(1)%, 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. MDPI 2022-11-16 /pmc/articles/PMC9687051/ /pubmed/36421281 http://dx.doi.org/10.3390/antibiotics11111637 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Girón, Rosa Mª Peláez, Adrián Ibáñez, Amparo Martínez-Besteiro, Elisa Gómez-Punter, Rosa Mar Martínez-Vergara, Adrián Ancochea, Julio Morell, Alberto Longitudinal Study of Therapeutic Adherence in a Cystic Fibrosis Unit: Identifying Potential Factors Associated with Medication Possession Ratio |
title | Longitudinal Study of Therapeutic Adherence in a Cystic Fibrosis Unit: Identifying Potential Factors Associated with Medication Possession Ratio |
title_full | Longitudinal Study of Therapeutic Adherence in a Cystic Fibrosis Unit: Identifying Potential Factors Associated with Medication Possession Ratio |
title_fullStr | Longitudinal Study of Therapeutic Adherence in a Cystic Fibrosis Unit: Identifying Potential Factors Associated with Medication Possession Ratio |
title_full_unstemmed | Longitudinal Study of Therapeutic Adherence in a Cystic Fibrosis Unit: Identifying Potential Factors Associated with Medication Possession Ratio |
title_short | Longitudinal Study of Therapeutic Adherence in a Cystic Fibrosis Unit: Identifying Potential Factors Associated with Medication Possession Ratio |
title_sort | longitudinal study of therapeutic adherence in a cystic fibrosis unit: identifying potential factors associated with medication possession ratio |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687051/ https://www.ncbi.nlm.nih.gov/pubmed/36421281 http://dx.doi.org/10.3390/antibiotics11111637 |
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