Javier Higueras1, José Luis Martín-Ventura2, Luis Blanco-Colio3, Carmen Cristóbal4, Nieves Tarín5, Ana Huelmos6, Joaquín Alonso4, Ana Pello7, Álvaro Aceña7, Rocío Carda7, Óscar Lorenzo2, Ignacio Mahíllo-Fernández8, Dolores Asensio9, Pedro Almeida7, Fernando Rodríguez-Artalejo10, Jerónimo Farré11, Lorenzo López Bescós12, Jesús Egido13, José Tuñón14. 1. Servicio de Cardiología, Hospital Clínico Universitario San Carlos, Madrid, España; Universidad Complutense, Madrid, España. 2. Universidad Autónoma, Madrid, España; Laboratorio de Patología Vascular, IIS-Fundación Jiménez Díaz, Madrid, España. 3. Laboratorio de Patología Vascular, IIS-Fundación Jiménez Díaz, Madrid, España. 4. Servicio de Cardiología, Hospital de Fuenlabrada, Fuenlabrada, Madrid, España; Universidad Rey Juan Carlos, Alcorcón, Madrid, España. 5. Servicio de Cardiología, Hospital Universitario de Móstoles, Móstoles, Madrid, España. 6. Servicio de Cardiología, Hospital Universitario Fundación Alcorcón, Alcorcón, Madrid, España. 7. Servicio de Cardiología, IIS-Fundación Jiménez Díaz, Madrid, España. 8. Servicio de Medicina Preventiva, IIS-Fundación Jiménez Díaz, Madrid, España. 9. Laboratorio de bioquímica de la Fundación Jiménez Díaz, Madrid, España. 10. Servicio de Medicina Preventiva y Salud Pública, Escuela de Medicina, Universidad Autónoma, Madrid, España. 11. Universidad Autónoma, Madrid, España; Servicio de Cardiología, IIS-Fundación Jiménez Díaz, Madrid, España. 12. Universidad Rey Juan Carlos, Alcorcón, Madrid, España. 13. Universidad Autónoma, Madrid, España; Laboratorio de Patología Vascular, IIS-Fundación Jiménez Díaz, Madrid, España; CIBERDEM, Madrid, España. 14. Universidad Autónoma, Madrid, España; Laboratorio de Patología Vascular, IIS-Fundación Jiménez Díaz, Madrid, España; Servicio de Cardiología, IIS-Fundación Jiménez Díaz, Madrid, España. Electronic address: jtunon@secardiologia.es.
Abstract
INTRODUCTION: At present, there is no tool validated by scientific societies for risk stratification of patients with stable coronary artery disease (SCAD). It has been shown that plasma levels of monocyte chemoattractant protein-1 (MCP-1), galectin-3 and pro-B-type natriuretic peptide amino-terminal (NT-proBNP) have prognostic value in this population. OBJECTIVE: To analyze the prognostic value of a clinical risk scale published in Long-term Intervention with Pravastatin in Ischemic Disease (LIPID) study and determining its predictive capacity when combined with plasma levels of MCP-1, galectin-3 and NT-proBNP in patients with SCAD. METHODS AND RESULTS: A total of 706 patients with SCAD and a history of acute coronary syndrome (ACS) were analyzed over a follow up period of 2.2 ± 0.99 years. The primary endpoint was the occurrence of an ischemic event (any SCA, stroke or transient ischemic attack), heart failure, or death. A clinical risk scale derived from the LIPID study significantly predicted the development of the primary endpoint, with an area under the ROC curve (Receiver Operating Characteristic) of 0.642 (0.579 to 0.705); P<0.001. A composite score was developed by adding the scores of the LIPID and scale decile levels of MCP -1, galectin -3 and NT-proBNP. The predictive value improved with an area under the curve of 0.744 (0.684 to 0.805); P<0.001 (P=0.022 for comparison). A score greater than 21.5 had a sensitivity of 74% and a specificity of 61% for the development of the primary endpoint (P<0.001, log -rank test). CONCLUSION: Plasma levels of MCP-1, galectin -3 and NT-proBNP improve the ability of the LIPID clinical scale to predict the prognosis of patients with SCAD.
INTRODUCTION: At present, there is no tool validated by scientific societies for risk stratification of patients with stable coronary artery disease (SCAD). It has been shown that plasma levels of monocyte chemoattractant protein-1 (MCP-1), galectin-3 and pro-B-type natriuretic peptide amino-terminal (NT-proBNP) have prognostic value in this population. OBJECTIVE: To analyze the prognostic value of a clinical risk scale published in Long-term Intervention with Pravastatin in Ischemic Disease (LIPID) study and determining its predictive capacity when combined with plasma levels of MCP-1, galectin-3 and NT-proBNP in patients with SCAD. METHODS AND RESULTS: A total of 706 patients with SCAD and a history of acute coronary syndrome (ACS) were analyzed over a follow up period of 2.2 ± 0.99 years. The primary endpoint was the occurrence of an ischemic event (any SCA, stroke or transient ischemic attack), heart failure, or death. A clinical risk scale derived from the LIPID study significantly predicted the development of the primary endpoint, with an area under the ROC curve (Receiver Operating Characteristic) of 0.642 (0.579 to 0.705); P<0.001. A composite score was developed by adding the scores of the LIPID and scale decile levels of MCP -1, galectin -3 and NT-proBNP. The predictive value improved with an area under the curve of 0.744 (0.684 to 0.805); P<0.001 (P=0.022 for comparison). A score greater than 21.5 had a sensitivity of 74% and a specificity of 61% for the development of the primary endpoint (P<0.001, log -rank test). CONCLUSION: Plasma levels of MCP-1, galectin -3 and NT-proBNP improve the ability of the LIPID clinical scale to predict the prognosis of patients with SCAD.
Authors: Juan Martínez-Milla; Álvaro Aceña; Ana Pello; Marta López-Castillo; Hans Paul Gaebelt; Óscar González-Lorenzo; Nieves Tarín; Carmen Cristóbal; Luis M Blanco-Colio; José Luis Martín-Ventura; Ana Huelmos; Andrea Kallmeyer; Joaquín Alonso; Carlos Gutiérrez-Landaluce; Lorenzo López Bescós; Jesús Egido; Ignacio Mahíllo-Fernández; Óscar Lorenzo; María Luisa González-Casaus; José Tuñón Journal: J Clin Med Date: 2022-07-17 Impact factor: 4.964