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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Detalles Bibliográficos
Autores: Gálvez Barrón, César, Villar Álvarez, Felipe, Ribas, Jesús, Formiga Pérez, Francesc, Chivite, David, Boixeda, Ramón, Iborra, Cristian, Rodríguez Molinero, Alejandro
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/171637
Acceso en línea:https://hdl.handle.net/2445/171637
Access Level:acceso abierto
Palabra clave:Malalties pulmonars obstructives cròniques
Malalties del cor
Chronic obstructive pulmonary diseases
Heart diseases
Descripción
Sumario: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.