N-Terminal pro-brain natriuretic peptide (NT-proBNP) and cardiopulmonary exercise testing (CPET)-derived variables are gold standards for assessing prognosis in heart failure (HF) patients. We sought to refine cardiac events prediction by performing a combined analysis of NT-proBNP with markers of exercise ventilatory efficiency. Methods and Results: A total of 260 stable HF patients underwent measurements of plasma NT-proBNP levels before, at peak exercise, and at I-minute CPET recovery phase along with peak oxygen uptake (VO2), ventilation to CO2 production (VE/VCO2) slope, and exercise periodic breathing (EPB) determinations. After a median follow-up period of 20.6 months, there were 54 cardiac-related deaths. Univariate analysis including NT-proBNP at rest, at peak exercise, and at 1 minute recovery, peak VO2, VE/VCO2 slope, and EPB showed NT-proBNP to be the strongest independent predictor with equivalent performance for rest, peak, and recovery levels. Thus, only NT-proBNP at rest was considered (Harrel C 0.783, 95% confidence interval [CI] 0.722-0.844) with VE/VCO2 slope (Harrel C 0.720, 95% Cl 0.646-0.794), EPB (Harrel C 0.685, 95% CI 0.619-0.751), and peak VO2 (Harrel C 0.618, 95% Cl 0.533-0.704). With bivariate stepwise analyses, NT-proBNP along with EPB emerged as the strongest prognosticators (Harrel C 0.800, 95% Cl 0.737-0.862). Conclusions: In the refinement for robust outcome predictors in HE patients, NT-proBNP levels together with EPB led to the most powerful definition. VE/VCO2 slope and peak VO2 did not provide any prognostic adjunct. A biomarker/CPET approach seems very promising to warrant the continuous implementation in the prognostic work-up of HE patients.

Exercise oscillatory breathing and NT-proBNP levels in stable heart failure provide the strongest prediction of cardiac outcome when combining biomarkers with cardiopulmonary exercise testing / M. Guazzi, P. Boracchi, V. Labate, R. Arena, G. Reina. - In: JOURNAL OF CARDIAC FAILURE. - ISSN 1071-9164. - 18:4(2012 Apr), pp. 313-320.

Exercise oscillatory breathing and NT-proBNP levels in stable heart failure provide the strongest prediction of cardiac outcome when combining biomarkers with cardiopulmonary exercise testing

M. Guazzi
Primo
;
P. Boracchi
Secondo
;
G. Reina
Ultimo
2012

Abstract

N-Terminal pro-brain natriuretic peptide (NT-proBNP) and cardiopulmonary exercise testing (CPET)-derived variables are gold standards for assessing prognosis in heart failure (HF) patients. We sought to refine cardiac events prediction by performing a combined analysis of NT-proBNP with markers of exercise ventilatory efficiency. Methods and Results: A total of 260 stable HF patients underwent measurements of plasma NT-proBNP levels before, at peak exercise, and at I-minute CPET recovery phase along with peak oxygen uptake (VO2), ventilation to CO2 production (VE/VCO2) slope, and exercise periodic breathing (EPB) determinations. After a median follow-up period of 20.6 months, there were 54 cardiac-related deaths. Univariate analysis including NT-proBNP at rest, at peak exercise, and at 1 minute recovery, peak VO2, VE/VCO2 slope, and EPB showed NT-proBNP to be the strongest independent predictor with equivalent performance for rest, peak, and recovery levels. Thus, only NT-proBNP at rest was considered (Harrel C 0.783, 95% confidence interval [CI] 0.722-0.844) with VE/VCO2 slope (Harrel C 0.720, 95% Cl 0.646-0.794), EPB (Harrel C 0.685, 95% CI 0.619-0.751), and peak VO2 (Harrel C 0.618, 95% Cl 0.533-0.704). With bivariate stepwise analyses, NT-proBNP along with EPB emerged as the strongest prognosticators (Harrel C 0.800, 95% Cl 0.737-0.862). Conclusions: In the refinement for robust outcome predictors in HE patients, NT-proBNP levels together with EPB led to the most powerful definition. VE/VCO2 slope and peak VO2 did not provide any prognostic adjunct. A biomarker/CPET approach seems very promising to warrant the continuous implementation in the prognostic work-up of HE patients.
exercise periodic breathing; heart failure; Natriuretic peptide
Settore MED/01 - Statistica Medica
Settore MED/11 - Malattie dell'Apparato Cardiovascolare
apr-2012
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/213639
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