Gary C H Gan1, Krishna K Kadappu2, Aditya Bhat3, Fernando Fernandez4, Kennith H Gu4, Lawrence Cai5, Karen Byth6, Suzanne Eshoo4, Liza Thomas7. 1. Department of Cardiology, Blacktown Hospital, Sydney, New South Wales, Australia; Department of Cardiology, Westmead Hospital, Sydney, New South Wales, Australia; University of New South Wales, Sydney, New South Wales, Australia. 2. Department of Cardiology, Liverpool Hospital, Sydney, New South Wales, Australia; Department of Cardiology, Campbelltown Hospital, Sydney, New South Wales, Australia. 3. Department of Cardiology, Blacktown Hospital, Sydney, New South Wales, Australia; University of New South Wales, Sydney, New South Wales, Australia. 4. Department of Cardiology, Blacktown Hospital, Sydney, New South Wales, Australia. 5. University of New South Wales, Sydney, New South Wales, Australia. 6. Biostatistics Unit, Research and Education Network, Westmead Hospital, and the University of Sydney, Sydney, New South Wales, Australia. 7. Department of Cardiology, Westmead Hospital, Sydney, New South Wales, Australia; University of New South Wales, Sydney, New South Wales, Australia; Westmead Clinical School, University of Sydney, Sydney, New South Wales, Australia. Electronic address: l.thomas@unsw.edu.au.
Abstract
BACKGROUND: Patients with chronic kidney disease (CKD) are at increased risk of adverse cardiovascular events, which is underestimated by traditional risk stratification algorithms. We sought to determine clinical and echocardiographic predictors of adverse outcomes in CKD patients. METHODS: Two hundred forty-three prospectively recruited stage 3/4 CKD patients (male, 63%; mean age, 59.2 ± 14.4 years) without previous cardiac disease made up the study cohort. All participants underwent a transthoracic echocardiogram, with left ventricular (LV) and left atrial (LA) strain analysis. Participants were followed for 3.9 ± 2.7 years for the primary end point of cardiovascular death and major adverse cardiovascular event (MACE). The secondary end point was the composite of all-cause death and MACE. RESULTS: Fifty-four patients met the primary end point, and 65 the secondary end point. On log-rank tests, older age, diabetes mellitus, anemia, greater LV mass, reduced LV global longitudinal strain, larger indexed LA volume, higher E/e' ratio, and reduced LA reservoir strain (LASr; P < .01 for all) were independent predictors of cardiovascular death and MACE. On multivariable regression analysis of univariate predictors, LASr (P < .01) was the only independent predictor for the primary end point as well as for the secondary end point. Receiver operating characteristic curve analysis showed LASr was a stronger predictor of adverse events (area under the curve [AUC] = 0.84) compared to the Framingham (AUC = 0.58) and Atherosclerotic Cardiovascular Disease (AUC = 0.59) risk scores. CONCLUSIONS: LASr is an independent predictor of cardiovascular death and MACE in CKD patients, superior to clinical risk scores, LV parameters, and LA volume.
BACKGROUND:Patients with chronic kidney disease (CKD) are at increased risk of adverse cardiovascular events, which is underestimated by traditional risk stratification algorithms. We sought to determine clinical and echocardiographic predictors of adverse outcomes in CKDpatients. METHODS: Two hundred forty-three prospectively recruited stage 3/4 CKDpatients (male, 63%; mean age, 59.2 ± 14.4 years) without previous cardiac disease made up the study cohort. All participants underwent a transthoracic echocardiogram, with left ventricular (LV) and left atrial (LA) strain analysis. Participants were followed for 3.9 ± 2.7 years for the primary end point of cardiovascular death and major adverse cardiovascular event (MACE). The secondary end point was the composite of all-cause death and MACE. RESULTS: Fifty-four patients met the primary end point, and 65 the secondary end point. On log-rank tests, older age, diabetes mellitus, anemia, greater LV mass, reduced LV global longitudinal strain, larger indexed LA volume, higher E/e' ratio, and reduced LA reservoir strain (LASr; P < .01 for all) were independent predictors of cardiovascular death and MACE. On multivariable regression analysis of univariate predictors, LASr (P < .01) was the only independent predictor for the primary end point as well as for the secondary end point. Receiver operating characteristic curve analysis showed LASr was a stronger predictor of adverse events (area under the curve [AUC] = 0.84) compared to the Framingham (AUC = 0.58) and Atherosclerotic Cardiovascular Disease (AUC = 0.59) risk scores. CONCLUSIONS:LASr is an independent predictor of cardiovascular death and MACE in CKDpatients, superior to clinical risk scores, LV parameters, and LA volume.
Authors: Aseel Alfuhied; Gaurav S Gulsin; Lavanya Athithan; Emer M Brady; Kelly Parke; Joseph Henson; Emma Redman; Anna-Marie Marsh; Thomas Yates; Melanie J Davies; Gerry P McCann; Anvesha Singh Journal: Int J Cardiovasc Imaging Date: 2022-03-02 Impact factor: 2.357
Authors: Francesco Bandera; Anita Mollo; Matteo Frigelli; Giulia Guglielmi; Nicoletta Ventrella; Maria Concetta Pastore; Matteo Cameli; Marco Guazzi Journal: Front Cardiovasc Med Date: 2022-01-13