Your browser doesn't support javascript.
loading
Old and new equations for maximal heart rate prediction in patients with heart failure and reduced ejection fraction on beta-blockers treatment: results from the MECKI score data set.
Magrì, Damiano; Piepoli, Massimo; Gallo, Giovanna; Corrà, Ugo; Metra, Marco; Paolillo, Stefania; Filardi, Pasquale Perrone; Maruotti, Antonello; Salvioni, Elisabetta; Mapelli, Massimo; Vignati, Carlo; Senni, Michele; Limongelli, Giuseppe; Lagioia, Rocco; Scrutinio, Domenico; Emdin, Michele; Passino, Claudio; Parati, Gianfranco; Sinagra, Gianfranco; Correale, Michele; Badagliacca, Roberto; Sciomer, Susanna; Di Lenarda, Andrea; Agostoni, Piergiuseppe.
Affiliation
  • Magrì D; Department of Clinical and Molecular Medicine, Azienda Ospedaliera Sant'Andrea, "Sapienza" Università degli Studi di Roma, Roma, Italy.
  • Piepoli M; UOC Cardiologia, G da Saliceto Hospital, Piacenza, Italy.
  • Gallo G; Department of Clinical and Molecular Medicine, Azienda Ospedaliera Sant'Andrea, "Sapienza" Università degli Studi di Roma, Roma, Italy.
  • Corrà U; Cardiology Department, Istituti Clinici Scientifici Maugeri, IRCCS, Veruno Institute, Veruno, Italy.
  • Metra M; Cardiology, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy.
  • Paolillo S; Cardiologia SUN, Ospedale Monaldi (Azienda dei Colli), Seconda Università di Napoli, Napoli, Italy.
  • Filardi PP; Cardiologia SUN, Ospedale Monaldi (Azienda dei Colli), Seconda Università di Napoli, Napoli, Italy.
  • Maruotti A; Dipartimento di Giurisprudenza, Economia, Politica e Lingue Moderne-Libera Università Maria Ss Assunta.
  • Salvioni E; Department of Mathematics, University of Bergen, Bergen, Norway.
  • Mapelli M; School of Computing, University of Portsmouth, Portsmouth, UK.
  • Vignati C; Centro Cardiologico Monzino, IRCCS, Via Parea 4, 20138 Milano, Italy.
  • Senni M; Centro Cardiologico Monzino, IRCCS, Via Parea 4, 20138 Milano, Italy.
  • Limongelli G; Department of Clinical and Molecular Medicine, Azienda Ospedaliera Sant'Andrea, "Sapienza" Università degli Studi di Roma, Roma, Italy.
  • Lagioia R; Department of Cardiology, Heart Failure and Heart Transplant Unit, Azienda Ospedaliera Papa Giovanni XXIII, Bergamo, Italy.
  • Scrutinio D; Department of Advanced Biomedical Sciences, Federico II University of Naples, Napoli, Italy.
  • Emdin M; Division of Cardiology, "S. Maugeri" Foundation, IRCCS, Institute of Cassano Murge, Bari, Italy.
  • Passino C; Division of Cardiology, "S. Maugeri" Foundation, IRCCS, Institute of Cassano Murge, Bari, Italy.
  • Parati G; Life Science Institute, Scuola Superiore Sant'Anna, Pisa, Italy.11 Cardiology Division, Santo Spirito Hospital, Roma, Italy.
  • Sinagra G; Fondazione Gabriele Monasterio, CNR-Regione Toscana, Pisa, Italy.
  • Correale M; Life Science Institute, Scuola Superiore Sant'Anna, Pisa, Italy.11 Cardiology Division, Santo Spirito Hospital, Roma, Italy.
  • Badagliacca R; Fondazione Gabriele Monasterio, CNR-Regione Toscana, Pisa, Italy.
  • Sciomer S; Department of Cardiovascular, Neural and Metabolic Sciences, San Luca Hospital, Istituto Auxologico Italiano, Milan, Italy.
  • Di Lenarda A; Cardiovascular Department, Ospedali Riuniti and University of Trieste, Trieste, Italy.
  • Agostoni P; Department of Cardiology, University of Foggia, Foggia, Italy.
Eur J Prev Cardiol ; 29(12): 1680-1688, 2022 09 07.
Article in En | MEDLINE | ID: mdl-35578814
ABSTRACT

AIMS:

Predicting maximal heart rate (MHR) in heart failure with reduced ejection fraction (HFrEF) still remains a major concern. In such a context, the Keteyian equation is the only one derived in a HFrEF cohort on optimized ß-blockers treatment. Therefore, using the Metabolic Exercise combined with Cardiac and Kidney Indexes (MECKI) data set, we looked for a possible MHR equation, for an external validation of Keteyien formula and, contextually, for accuracy of the historical MHR formulas and their relationship with the HR measured at the anaerobic threshold (AT). METHODS AND

RESULTS:

Data from 3487 HFrEF outpatients on optimized ß-blockers treatment from the MECKI data set were analyzed. Besides excluding all possible confounders, the new equation was derived by using HR data coming from maximal cardiopulmonary exercise test. The simplified derived equation was [109-(0.5*age) + (0.5*HR rest) + (0.2*LVEF)-(5 if haemoglobin <11 g/dL)]. The R2 and the standard error of the estimate were 0.24 and 17.5 beats min-1 with a mean absolute percentage error (MAPE) = 11.9%. The Keteyian equation had a slightly higher MAPE = 12.3%. Conversely, the Fox and Tanaka equations showed extremely higher MAPE values. The range 75-80% of MHR according to the new and the Keteyian equations was the most accurate in identifying the HR at the AT (MAPEs = 11.3-11.6%).

CONCLUSION:

The derived equation to estimate the MHR in HFrEF patients, by accounting also for the systolic dysfunction degree and anaemia, improved slightly the Keteyian formula. Both formulas might be helpful in identifying the true maximal effort during an exercise test and the intensity domain during a rehabilitation programme.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ventricular Dysfunction, Left / Heart Failure Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Eur J Prev Cardiol Year: 2022 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ventricular Dysfunction, Left / Heart Failure Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Eur J Prev Cardiol Year: 2022 Document type: Article Affiliation country: