Clinical Trial

Metabolic Exercise Test Data Combined with Cardiac and Kidney Indexes (MECKI) Score Evolution: Identification of Cardiovascular Risk in Patients with Heart Failure

Study acronym: MECKI
Recruiting
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Summary
Heart failure is a complex condition involving multiple organs beyond the cardiovascular system, all influencing disease progression and prognosis. Accurate risk assessment requires considering multiple variables, as no single parameter alone provides a complete prognostic picture. This has led to the development of prognostic models combining clinical and laboratory parameters. Some of these models incorporate cardiopulmonary exercise testing (CPET), which provides key prognostic indicators. Since the 1990s, CPET has been recommended in heart failure management guidelines due to its strong prognostic value when combined with clinical data. However, existing risk models often exclude important predictors such as ventilatory parameters from CPET (VE/VCO₂), renal function, and hemoglobin levels. To address this gap, in 2012 the investigators developed the MECKI (Metabolic Exercise test data combined with Cardiac and Kidney Indexes) score, integrating oxygen consumption, ventilatory efficiency, and easily accessible biochemical and echocardiographic parameters. Unlike previous models requiring extensive data collection, MECKI is based on only six variables, making it practical and effective. Recent studies suggest the need to update the cutoff values and parameters used for risk stratification, as new therapies and treatment strategies may significantly alter prognostic accuracy in different patient populations. This study aims to expand and refine the MECKI score by updating the patient dataset, optimizing its performance in specific subgroups, and aligning it with emerging therapeutic approaches. Additionally, the investigators will evaluate whether the model's risk accuracy varies in advanced-stage patients, those with comorbidities, or under different treatment regimens. This could lead to correction factors that enhance the score's predictive power across diverse clinical scenarios, further improving its applicability and reliability in heart failure management.
Trial Details
NCT Number NCT06884631
Lead Sponsor Centro Cardiologico Monzino
Collaborators: Santo Spirito Hospital, Italy, Fondazione Toscana Gabriele Monasterio, Spedali Civili, University of Brescia, Italy, Monaldi Hospital, Azienda Sanitaria Universitaria Giuliano Isontina (ASU GI), San Raffaele University Hospital, Italy, University of Foggia, Azienda Ospedaliera Niguarda Cà Granda, Azienda Policlinico Umberto I, Federico II University of Naples, Department of Clinical Medicine and Surgery, Naples, Italy, Città di Lecce Hospital, Azienda Ospedaliera Universitaria Policlinico "G. Martino", Azienda Ospedaliera Universitaria Senese, Azienda Sanitaria di Firenze, Ospedale San Luca, Istituto Auxologico Italiano, Milano, Casa di Cura Mater Dei, University of Bari, Azienda Ospedaliera di Perugia, I.R.C.C.S. Policlinico San Donato, San Donato Milanese, Italy, IRCCS Multimedica, Ospedali Riuniti Ancona, A.O. Ospedale Papa Giovanni XXIII, S. Andrea Hospital, Istituti Clinici Scientifici Maugeri SpA, Istituto Auxologico Italiano - IRCCS - Ospedale San Luca - Milano, Azienda Ospedaliero-Universitaria Senese, The Mediterranean Institute for Transplantation and Advanced Specialized Therapies, Federico II University, Ospedale Guglielmo da Saliceto, Piacenza
Conditions Heart Failure
Enrollment 10,000 participants
Start Date 2021-02-10
Primary Completion 2026-12-31 (estimated)
Study Completion 2028-12-31 (estimated)
Updated on ClinicalTrials.gov 2025-03-19