Effort Oxygen Saturation and Effort Heart Rate to Detect Exacerbations of Chronic Obstructive Pulmonary Disease or Congestive Heart Failure

Background: current algorithms for the detection of heart failure (HF) and chronic obstructive pulmonary disease (COPD) exacerbations have poor performance. Methods: this study was designed as a prospective longitudinal trial. Physiological parameters were evaluated at rest and effort (walking) in p...

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Authors: Gálvez Barrón, César, Villar Álvarez, Felipe, Ribas, Jesús, Formiga Pérez, Francesc, Chivite, David, Boixeda, Ramón, Iborra, Cristian, Rodríguez Molinero, Alejandro
Format: article
Status:Published version
Publication Date:2019
Country:España
Institution:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repository:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/171637
Online Access:https://hdl.handle.net/2445/171637
Access Level:Open access
Keyword:Malalties pulmonars obstructives cròniques
Malalties del cor
Chronic obstructive pulmonary diseases
Heart diseases
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spelling Effort Oxygen Saturation and Effort Heart Rate to Detect Exacerbations of Chronic Obstructive Pulmonary Disease or Congestive Heart FailureGálvez Barrón, CésarVillar Álvarez, FelipeRibas, JesúsFormiga Pérez, FrancescChivite, DavidBoixeda, RamónIborra, CristianRodríguez Molinero, AlejandroMalalties pulmonars obstructives cròniquesMalalties del corChronic obstructive pulmonary diseasesHeart diseasesBackground: current algorithms for the detection of heart failure (HF) and chronic obstructive pulmonary disease (COPD) exacerbations have poor performance. Methods: this study was designed as a prospective longitudinal trial. Physiological parameters were evaluated at rest and effort (walking) in patients who were in the exacerbation or stable phases of HF or COPD. Parameters with relevant discriminatory power (sensitivity (Sn) or specificity (Sp) 80%, and Youden index 0.2) were integrated into diagnostic algorithms. Results: the study included 127 patients (COPD: 56, HF: 54, both: 17). The best algorithm for COPD included: oxygen saturation (SaO(2)) decrease 2% in minutes 1 to 3 of effort, end-of-effort heart rate (HR) increase 10 beats/min and walking distance decrease 35 m (presence of one criterion showed Sn: 0.90 (95%, CI(confidence interval): 0.75-0.97), Sp: 0.89 (95%, CI: 0.72-0.96), and area under the curve (AUC): 0.92 (95%, CI: 0.85-0.995)); and for HF: SaO(2) decrease 2% in the mean-of-effort, HR increase 10 beats/min in the mean-of-effort, and walking distance decrease 40 m (presence of one criterion showed Sn: 0.85 (95%, CI: 0.69-0.93), Sp: 0.75 (95%, CI: 0.57-0.87) and AUC 0.84 (95%, CI: 0.74-0.94)). Conclusions: effort situations improve the validity of physiological parameters for detection of HF and COPD exacerbation episodes.MDPI2020202020192020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion12 p.application/pdfhttps://hdl.handle.net/2445/171637Articles publicats en revistes (Ciències Clíniques)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: https://doi.org/10.3390/jcm8010042Journal of Clinical Medicine, 2019, vol. 8, num. 1https://doi.org/10.3390/jcm8010042cc by (c) Gálvez Barrón et al., 2019http://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:recercat.cat:2445/1716372026-05-29T05:05:01Z
dc.title.none.fl_str_mv Effort Oxygen Saturation and Effort Heart Rate to Detect Exacerbations of Chronic Obstructive Pulmonary Disease or Congestive Heart Failure
title Effort Oxygen Saturation and Effort Heart Rate to Detect Exacerbations of Chronic Obstructive Pulmonary Disease or Congestive Heart Failure
spellingShingle Effort Oxygen Saturation and Effort Heart Rate to Detect Exacerbations of Chronic Obstructive Pulmonary Disease or Congestive Heart Failure
Gálvez Barrón, César
Malalties pulmonars obstructives cròniques
Malalties del cor
Chronic obstructive pulmonary diseases
Heart diseases
title_short Effort Oxygen Saturation and Effort Heart Rate to Detect Exacerbations of Chronic Obstructive Pulmonary Disease or Congestive Heart Failure
title_full Effort Oxygen Saturation and Effort Heart Rate to Detect Exacerbations of Chronic Obstructive Pulmonary Disease or Congestive Heart Failure
title_fullStr Effort Oxygen Saturation and Effort Heart Rate to Detect Exacerbations of Chronic Obstructive Pulmonary Disease or Congestive Heart Failure
title_full_unstemmed Effort Oxygen Saturation and Effort Heart Rate to Detect Exacerbations of Chronic Obstructive Pulmonary Disease or Congestive Heart Failure
title_sort Effort Oxygen Saturation and Effort Heart Rate to Detect Exacerbations of Chronic Obstructive Pulmonary Disease or Congestive Heart Failure
dc.creator.none.fl_str_mv Gálvez Barrón, César
Villar Álvarez, Felipe
Ribas, Jesús
Formiga Pérez, Francesc
Chivite, David
Boixeda, Ramón
Iborra, Cristian
Rodríguez Molinero, Alejandro
author Gálvez Barrón, César
author_facet Gálvez Barrón, César
Villar Álvarez, Felipe
Ribas, Jesús
Formiga Pérez, Francesc
Chivite, David
Boixeda, Ramón
Iborra, Cristian
Rodríguez Molinero, Alejandro
author_role author
author2 Villar Álvarez, Felipe
Ribas, Jesús
Formiga Pérez, Francesc
Chivite, David
Boixeda, Ramón
Iborra, Cristian
Rodríguez Molinero, Alejandro
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Malalties pulmonars obstructives cròniques
Malalties del cor
Chronic obstructive pulmonary diseases
Heart diseases
topic Malalties pulmonars obstructives cròniques
Malalties del cor
Chronic obstructive pulmonary diseases
Heart diseases
description Background: current algorithms for the detection of heart failure (HF) and chronic obstructive pulmonary disease (COPD) exacerbations have poor performance. Methods: this study was designed as a prospective longitudinal trial. Physiological parameters were evaluated at rest and effort (walking) in patients who were in the exacerbation or stable phases of HF or COPD. Parameters with relevant discriminatory power (sensitivity (Sn) or specificity (Sp) 80%, and Youden index 0.2) were integrated into diagnostic algorithms. Results: the study included 127 patients (COPD: 56, HF: 54, both: 17). The best algorithm for COPD included: oxygen saturation (SaO(2)) decrease 2% in minutes 1 to 3 of effort, end-of-effort heart rate (HR) increase 10 beats/min and walking distance decrease 35 m (presence of one criterion showed Sn: 0.90 (95%, CI(confidence interval): 0.75-0.97), Sp: 0.89 (95%, CI: 0.72-0.96), and area under the curve (AUC): 0.92 (95%, CI: 0.85-0.995)); and for HF: SaO(2) decrease 2% in the mean-of-effort, HR increase 10 beats/min in the mean-of-effort, and walking distance decrease 40 m (presence of one criterion showed Sn: 0.85 (95%, CI: 0.69-0.93), Sp: 0.75 (95%, CI: 0.57-0.87) and AUC 0.84 (95%, CI: 0.74-0.94)). Conclusions: effort situations improve the validity of physiological parameters for detection of HF and COPD exacerbation episodes.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/171637
url https://hdl.handle.net/2445/171637
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.3390/jcm8010042
Journal of Clinical Medicine, 2019, vol. 8, num. 1
https://doi.org/10.3390/jcm8010042
dc.rights.none.fl_str_mv cc by (c) Gálvez Barrón et al., 2019
http://creativecommons.org/licenses/by/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc by (c) Gálvez Barrón et al., 2019
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 12 p.
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Articles publicats en revistes (Ciències Clíniques)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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