BACKGROUND: The clinical management of severe congestive heart failure (CHF) should be graded according to the prognosis of each individual patient. Our objective was to elaborate a prognostic rating system for severe CHF. METHODS: The EPICAL program (Epidémiologie de l'Insuffisance Cardiaque Avancée en Lorraine) identified patients with severe CHF defined by hospitalization accompanied by class III/IV dyspnea, edema, or hypertension; an ejection fraction </=30% or a cardiothoracic index >/=60%. Baseline variables were tested in Cox multivariate models. RESULTS: Patients with ischemic heart disease (n = 219) had a lower 1-year survival rate (57.6%) than patients with dilated cardiomyopathy (n = 182) (69. 1%). Multivariate analysis identified 5 prognostic factors for ischemic CHF and 7 for CHF caused by dilated cardiomyopathy. These variables were used to classify patients within prognostic subgroups of good (>75%), intermediate, or poor (</=25%) 1-year survival. CONCLUSION: A score for prognostic prediction was further derived from readily available data to help physicians improve decision making and to assist in clinical trials as a stratification tool.
BACKGROUND: The clinical management of severe congestive heart failure (CHF) should be graded according to the prognosis of each individual patient. Our objective was to elaborate a prognostic rating system for severe CHF. METHODS: The EPICAL program (Epidémiologie de l'Insuffisance Cardiaque Avancée en Lorraine) identified patients with severe CHF defined by hospitalization accompanied by class III/IV dyspnea, edema, or hypertension; an ejection fraction </=30% or a cardiothoracic index >/=60%. Baseline variables were tested in Cox multivariate models. RESULTS:Patients with ischemic heart disease (n = 219) had a lower 1-year survival rate (57.6%) than patients with dilated cardiomyopathy (n = 182) (69. 1%). Multivariate analysis identified 5 prognostic factors for ischemic CHF and 7 for CHF caused by dilated cardiomyopathy. These variables were used to classify patients within prognostic subgroups of good (>75%), intermediate, or poor (</=25%) 1-year survival. CONCLUSION: A score for prognostic prediction was further derived from readily available data to help physicians improve decision making and to assist in clinical trials as a stratification tool.
Authors: Mary E Sweet; Andrea Cocciolo; Dobromir Slavov; Kenneth L Jones; Joseph R Sweet; Sharon L Graw; T Brett Reece; Amrut V Ambardekar; Michael R Bristow; Luisa Mestroni; Matthew R G Taylor Journal: BMC Genomics Date: 2018-11-12 Impact factor: 3.969
Authors: Gaurav Gulati; Jenica Upshaw; Benjamin S Wessler; Riley J Brazil; Jason Nelson; David van Klaveren; Christine M Lundquist; Jinny G Park; Hannah McGinnes; Ewout W Steyerberg; Ben Van Calster; David M Kent Journal: Circ Cardiovasc Qual Outcomes Date: 2022-03-31