The MECKI score initiative: Development and state of the art

Author:

Salvioni Elisabetta1,Bonomi Alice1,Re Federica2,Mapelli Massimo13,Mattavelli Irene1,Vitale Giuseppe4,Sarullo Filippo M5,Palermo Pietro1,Veglia Fabrizio1,Agostoni Piergiuseppe13

Affiliation:

1. Centro Cardiologico Monzino, IRCCS, Italy

2. Cardiology Division, Cardiac Arrhythmia Centre and Cardiomyopathies Unit, San Camillo-Forlanini Hospital, Italy

3. Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milano, Italy

4. Cardiology and Intensive Care Unit, Cervello Hospital, Italy

5. Cardiovascular Rehabilitation Unit, Buccheri La Ferla Fatebenefratelli Hospital, Italy

Abstract

Abstract The high morbidity and poor survival rates associated with chronic heart failure still represent a big challenge, despite improvements in treatments and the development of new therapeutic opportunities. The prediction of outcome in heart failure is gradually moving towards a multiparametric approach in order to obtain more accurate models and to tailor the prognostic evaluation to the individual characteristics of a single subject. The Metabolic Exercise test data combined with Cardiac and Kidney Indexes (MECKI) score was developed 10 years ago from 2715 patients and subsequently validated in a different population. The score allows an accurate evaluation of the risk of heart failure patients using only six variables that include the evaluation of the exercise capacity (peak oxygen uptake and ventilation/CO2 production slope), blood samples (haemoglobin, Na+, Modification of Diet in Renal Disease) and echocardiography (left ventricular ejection fraction). Over the following years, the MECKI score was tested taking into account therapies and specific markers of heart failure, and it proved to be a simple, useful tool for risk stratification and for therapeutic strategies in heart failure patients. The close connection between the centres involved and the continuous updating of the data allow the participating sites to propose substudies on specific subpopulations based on a common dataset and to put together and develop new ideas and perspectives.

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Epidemiology

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