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Patterns and characterization of COPD exacerbations using real-time data collection

INTRODUCTION: Patients with chronic obstructive pulmonary disease often experience exacerbations. These events are important as they are a major cause of morbidity and mortality. Recently, it has been increasingly recognized that patients may experience symptoms suggestive of an exacerbation but do...

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Autores principales: Ejiofor, Stanley I, Stolk, Jan, Fernandez, Pablo, Stockley, Robert A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5279955/
https://www.ncbi.nlm.nih.gov/pubmed/28182151
http://dx.doi.org/10.2147/COPD.S126158
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author Ejiofor, Stanley I
Stolk, Jan
Fernandez, Pablo
Stockley, Robert A
author_facet Ejiofor, Stanley I
Stolk, Jan
Fernandez, Pablo
Stockley, Robert A
author_sort Ejiofor, Stanley I
collection PubMed
description INTRODUCTION: Patients with chronic obstructive pulmonary disease often experience exacerbations. These events are important as they are a major cause of morbidity and mortality. Recently, it has been increasingly recognized that patients may experience symptoms suggestive of an exacerbation but do not seek treatment, which are referred to as unreported or untreated exacerbations. Symptom diaries used in clinical trials have the benefit of identifying both treated and untreated exacerbation events. METHODS: The Kamada study was a multicenter, double-blind randomized controlled trial of inhaled augmentation therapy in alpha-1 antitrypsin deficiency (AATD). A retrospective review of daily electronic symptom diary cards was undertaken from the two leading centers to identify symptomatic episodes consistent with a definition of an exacerbation. The aims were to explore the relationship between exacerbation events and classical “Anthonisen” symptoms and to characterize treated and untreated episodes. RESULTS: Forty-six AATD patients with airflow obstruction and history of exacerbations were included in the analysis. Two hundred thirty-three exacerbation episodes were identified: 103 untreated and 130 treated. Untreated episodes were significantly shorter (median 6 days; interquartile range [IQR] 3–10 days) than the treated episodes (median 10 days; IQR 5–18.25 days: P<0.001). Using logistic regression analysis, Anthonisen type and length of dyspnea were significant predictors of the treatment of an exacerbation event. CONCLUSION: Real-time electronic diary cards provide valuable information about the characterization of exacerbations. Untreated episodes are common and are significantly shorter in duration than the treated episodes. Dyspnea is the most important single Anthonisen symptom in the prediction and/or driver of treatment.
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spelling pubmed-52799552017-02-08 Patterns and characterization of COPD exacerbations using real-time data collection Ejiofor, Stanley I Stolk, Jan Fernandez, Pablo Stockley, Robert A Int J Chron Obstruct Pulmon Dis Original Research INTRODUCTION: Patients with chronic obstructive pulmonary disease often experience exacerbations. These events are important as they are a major cause of morbidity and mortality. Recently, it has been increasingly recognized that patients may experience symptoms suggestive of an exacerbation but do not seek treatment, which are referred to as unreported or untreated exacerbations. Symptom diaries used in clinical trials have the benefit of identifying both treated and untreated exacerbation events. METHODS: The Kamada study was a multicenter, double-blind randomized controlled trial of inhaled augmentation therapy in alpha-1 antitrypsin deficiency (AATD). A retrospective review of daily electronic symptom diary cards was undertaken from the two leading centers to identify symptomatic episodes consistent with a definition of an exacerbation. The aims were to explore the relationship between exacerbation events and classical “Anthonisen” symptoms and to characterize treated and untreated episodes. RESULTS: Forty-six AATD patients with airflow obstruction and history of exacerbations were included in the analysis. Two hundred thirty-three exacerbation episodes were identified: 103 untreated and 130 treated. Untreated episodes were significantly shorter (median 6 days; interquartile range [IQR] 3–10 days) than the treated episodes (median 10 days; IQR 5–18.25 days: P<0.001). Using logistic regression analysis, Anthonisen type and length of dyspnea were significant predictors of the treatment of an exacerbation event. CONCLUSION: Real-time electronic diary cards provide valuable information about the characterization of exacerbations. Untreated episodes are common and are significantly shorter in duration than the treated episodes. Dyspnea is the most important single Anthonisen symptom in the prediction and/or driver of treatment. Dove Medical Press 2017-01-25 /pmc/articles/PMC5279955/ /pubmed/28182151 http://dx.doi.org/10.2147/COPD.S126158 Text en © 2017 Ejiofor et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Ejiofor, Stanley I
Stolk, Jan
Fernandez, Pablo
Stockley, Robert A
Patterns and characterization of COPD exacerbations using real-time data collection
title Patterns and characterization of COPD exacerbations using real-time data collection
title_full Patterns and characterization of COPD exacerbations using real-time data collection
title_fullStr Patterns and characterization of COPD exacerbations using real-time data collection
title_full_unstemmed Patterns and characterization of COPD exacerbations using real-time data collection
title_short Patterns and characterization of COPD exacerbations using real-time data collection
title_sort patterns and characterization of copd exacerbations using real-time data collection
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5279955/
https://www.ncbi.nlm.nih.gov/pubmed/28182151
http://dx.doi.org/10.2147/COPD.S126158
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