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Predictive factors for exacerbation and re-exacerbation in chronic obstructive pulmonary disease: an extension of the Cox model to analyze data from the Swiss COPD cohort

BACKGROUND: The Swiss COPD cohort was established in 2006 to collect data in a primary care setting. The objective of this study was to evaluate possible predictive factors for exacerbation and re-exacerbation. METHODS: In order to predict exacerbation until the next visit based on the knowledge of...

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Autores principales: Urwyler, Pascal, Abu Hussein, Nebal, Bridevaux, Pierre O., Chhajed, Prashant N., Geiser, Thomas, Grendelmeier, Peter, Joos Zellweger, Ladina, Kohler, Malcolm, Maier, Sabrina, Miedinger, David, Tamm, Michael, Thurnheer, Robert, Dieterle, Thomas, Leuppi, Joerg D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364405/
https://www.ncbi.nlm.nih.gov/pubmed/30774953
http://dx.doi.org/10.1186/s40248-019-0168-5
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author Urwyler, Pascal
Abu Hussein, Nebal
Bridevaux, Pierre O.
Chhajed, Prashant N.
Geiser, Thomas
Grendelmeier, Peter
Joos Zellweger, Ladina
Kohler, Malcolm
Maier, Sabrina
Miedinger, David
Tamm, Michael
Thurnheer, Robert
Dieterle, Thomas
Leuppi, Joerg D.
author_facet Urwyler, Pascal
Abu Hussein, Nebal
Bridevaux, Pierre O.
Chhajed, Prashant N.
Geiser, Thomas
Grendelmeier, Peter
Joos Zellweger, Ladina
Kohler, Malcolm
Maier, Sabrina
Miedinger, David
Tamm, Michael
Thurnheer, Robert
Dieterle, Thomas
Leuppi, Joerg D.
author_sort Urwyler, Pascal
collection PubMed
description BACKGROUND: The Swiss COPD cohort was established in 2006 to collect data in a primary care setting. The objective of this study was to evaluate possible predictive factors for exacerbation and re-exacerbation. METHODS: In order to predict exacerbation until the next visit based on the knowledge of exacerbation since the last visit, a multistate model described by Therneau and Grambsch was performed. RESULTS: Data of 1,247 patients (60.4% males, 46.6% current smokers) were analyzed, 268 (21.5%) did not fulfill spirometric diagnostic criteria for COPD. Data of 748 patients (63% males, 44.1% current smokers) were available for model analysis. In order to predict exacerbation an extended Cox Model was performed. Mean FEV(1)/FVC-ratio was 53.1% (±11.5), with a majority of patients in COPD GOLD classes 2 or 3. Hospitalization for any reason (HR1.7; P = 0.04) and pronounced dyspnea (HR for mMRC grade four 3.0; P < 0.001) at most recent visit as well as prescription of short-acting bronchodilators (HR1.7; P < 0.001), inhaled (HR1.2; P = 0.005) or systemic corticosteroids (HR1.8; P = 0.015) were significantly associated with exacerbation when having had no exacerbation at most recent visit. Higher FEV(1)/FVC (HR0.9; P = 0.008) and higher FEV(1) values (HR0.9; P = 0.001) were protective. When already having had an exacerbation at the most recent visit, pronounced dyspnea (HR for mMRC grade 4 1.9; P = 0.026) and cerebrovascular insult (HR2.1; P = 0.003) were significantly associated with re-exacerbation. Physical activity (HR0.6; P = 0.031) and treatment with long-acting anticholinergics (HR0.7; P = 0.044) seemed to play a significant protective role. In a best subset model for exacerbation, higher FEV(1) significantly reduced and occurrence of sputum increased the probability of exacerbation. In the same model for re-exacerbation, coronary heart disease increased and hospitalization at most recent visit seemed to reduce the risk for re-exacerbation. CONCLUSION: Our data confirmed well-established risk factors for exacerbations whilst analyzing their predictive association with exacerbation and re-exacerbation. This study confirmed the importance of spirometry in primary care, not only for diagnosis but also as a risk evaluation for possible future exacerbations. TRIAL REGISTRATION: Our study got approval by local ethical committee in 2006 (EK Nr. 170/06) and was registered retrospectively on ClinicalTrials.gov (NCT02065921, 19(th) of February 2014).
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spelling pubmed-63644052019-02-15 Predictive factors for exacerbation and re-exacerbation in chronic obstructive pulmonary disease: an extension of the Cox model to analyze data from the Swiss COPD cohort Urwyler, Pascal Abu Hussein, Nebal Bridevaux, Pierre O. Chhajed, Prashant N. Geiser, Thomas Grendelmeier, Peter Joos Zellweger, Ladina Kohler, Malcolm Maier, Sabrina Miedinger, David Tamm, Michael Thurnheer, Robert Dieterle, Thomas Leuppi, Joerg D. Multidiscip Respir Med Original Research Article BACKGROUND: The Swiss COPD cohort was established in 2006 to collect data in a primary care setting. The objective of this study was to evaluate possible predictive factors for exacerbation and re-exacerbation. METHODS: In order to predict exacerbation until the next visit based on the knowledge of exacerbation since the last visit, a multistate model described by Therneau and Grambsch was performed. RESULTS: Data of 1,247 patients (60.4% males, 46.6% current smokers) were analyzed, 268 (21.5%) did not fulfill spirometric diagnostic criteria for COPD. Data of 748 patients (63% males, 44.1% current smokers) were available for model analysis. In order to predict exacerbation an extended Cox Model was performed. Mean FEV(1)/FVC-ratio was 53.1% (±11.5), with a majority of patients in COPD GOLD classes 2 or 3. Hospitalization for any reason (HR1.7; P = 0.04) and pronounced dyspnea (HR for mMRC grade four 3.0; P < 0.001) at most recent visit as well as prescription of short-acting bronchodilators (HR1.7; P < 0.001), inhaled (HR1.2; P = 0.005) or systemic corticosteroids (HR1.8; P = 0.015) were significantly associated with exacerbation when having had no exacerbation at most recent visit. Higher FEV(1)/FVC (HR0.9; P = 0.008) and higher FEV(1) values (HR0.9; P = 0.001) were protective. When already having had an exacerbation at the most recent visit, pronounced dyspnea (HR for mMRC grade 4 1.9; P = 0.026) and cerebrovascular insult (HR2.1; P = 0.003) were significantly associated with re-exacerbation. Physical activity (HR0.6; P = 0.031) and treatment with long-acting anticholinergics (HR0.7; P = 0.044) seemed to play a significant protective role. In a best subset model for exacerbation, higher FEV(1) significantly reduced and occurrence of sputum increased the probability of exacerbation. In the same model for re-exacerbation, coronary heart disease increased and hospitalization at most recent visit seemed to reduce the risk for re-exacerbation. CONCLUSION: Our data confirmed well-established risk factors for exacerbations whilst analyzing their predictive association with exacerbation and re-exacerbation. This study confirmed the importance of spirometry in primary care, not only for diagnosis but also as a risk evaluation for possible future exacerbations. TRIAL REGISTRATION: Our study got approval by local ethical committee in 2006 (EK Nr. 170/06) and was registered retrospectively on ClinicalTrials.gov (NCT02065921, 19(th) of February 2014). BioMed Central 2019-02-05 /pmc/articles/PMC6364405/ /pubmed/30774953 http://dx.doi.org/10.1186/s40248-019-0168-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Original Research Article
Urwyler, Pascal
Abu Hussein, Nebal
Bridevaux, Pierre O.
Chhajed, Prashant N.
Geiser, Thomas
Grendelmeier, Peter
Joos Zellweger, Ladina
Kohler, Malcolm
Maier, Sabrina
Miedinger, David
Tamm, Michael
Thurnheer, Robert
Dieterle, Thomas
Leuppi, Joerg D.
Predictive factors for exacerbation and re-exacerbation in chronic obstructive pulmonary disease: an extension of the Cox model to analyze data from the Swiss COPD cohort
title Predictive factors for exacerbation and re-exacerbation in chronic obstructive pulmonary disease: an extension of the Cox model to analyze data from the Swiss COPD cohort
title_full Predictive factors for exacerbation and re-exacerbation in chronic obstructive pulmonary disease: an extension of the Cox model to analyze data from the Swiss COPD cohort
title_fullStr Predictive factors for exacerbation and re-exacerbation in chronic obstructive pulmonary disease: an extension of the Cox model to analyze data from the Swiss COPD cohort
title_full_unstemmed Predictive factors for exacerbation and re-exacerbation in chronic obstructive pulmonary disease: an extension of the Cox model to analyze data from the Swiss COPD cohort
title_short Predictive factors for exacerbation and re-exacerbation in chronic obstructive pulmonary disease: an extension of the Cox model to analyze data from the Swiss COPD cohort
title_sort predictive factors for exacerbation and re-exacerbation in chronic obstructive pulmonary disease: an extension of the cox model to analyze data from the swiss copd cohort
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364405/
https://www.ncbi.nlm.nih.gov/pubmed/30774953
http://dx.doi.org/10.1186/s40248-019-0168-5
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