Jennifer S Hanberg1, Krishna Sury2, F Perry Wilson3, Meredith A Brisco4, Tariq Ahmad2, Jozine M Ter Maaten5, J Samuel Broughton1, Mahlet Assefa1, W H Wilson Tang6, Chirag R Parikh3, Jeffrey M Testani7. 1. Program of Applied Translational Research, Yale University School of Medicine, New Haven, Connecticut. 2. Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut. 3. Program of Applied Translational Research, Yale University School of Medicine, New Haven, Connecticut; Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut; Veterans Affairs Medical Center, West Haven, Connecticut. 4. Department of Medicine, Cardiology Division, Medical University of South Carolina, Charleston, South Carolina. 5. University Medical Center, University of Groningen, Groningen, the Netherlands. 6. Cleveland Clinic Foundation, Cleveland, Ohio. 7. Program of Applied Translational Research, Yale University School of Medicine, New Haven, Connecticut; Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut. Electronic address: jeffrey.testani@yale.edu.
Abstract
BACKGROUND: It is widely believed that a reduced cardiac index (CI) is a significant contributor to renal dysfunction in patients with heart failure (HF). However, recent data have challenged this paradigm. OBJECTIVES: This study sought to determine the relationship between CI and renal function in a multicenter population of HF patients undergoing pulmonary artery catheterization (PAC). METHODS:Patients undergoing PAC in either the randomized or registry portions of the ESCAPE (Evaluation Study of Congestive Heart Failure and Pulmonary Artery Catheterization Effectiveness) trial were included (n = 575). We evaluated associations between CI and renal function across multiple subgroups and assessed for nonlinear, threshold, and longitudinal relationships. RESULTS: There was a weak but significant inverse correlation between CI and estimated glomerular filtration rate (eGFR), such that higher CI was paradoxically associated with worse eGFR (r = -0.12; p = 0.02). CI was not associated with blood urea nitrogen (BUN) or the BUN to creatinine ratio. Similarly, no associations were observed between CI and better renal function across multiple subgroups defined by indications for PAC or hemodynamic, laboratory, or demographic parameters. A nonlinear or threshold effect could not be identified. In patients with serial assessments of renal function and CI, we were unable to find within-subject associations between change in CI and eGFR using linear mixed modeling. Neither CI nor change in CI was lower in patients developing worsening renal function (p ≥ 0.28). CONCLUSIONS: These results reinforce evidence that reduced CI is not the primary driver for renal dysfunction in patients hospitalized for HF, irrespective of the degree of CI impairment or patient subgroup analyzed.
RCT Entities:
BACKGROUND: It is widely believed that a reduced cardiac index (CI) is a significant contributor to renal dysfunction in patients with heart failure (HF). However, recent data have challenged this paradigm. OBJECTIVES: This study sought to determine the relationship between CI and renal function in a multicenter population of HF patients undergoing pulmonary artery catheterization (PAC). METHODS:Patients undergoing PAC in either the randomized or registry portions of the ESCAPE (Evaluation Study of Congestive Heart Failure and Pulmonary Artery Catheterization Effectiveness) trial were included (n = 575). We evaluated associations between CI and renal function across multiple subgroups and assessed for nonlinear, threshold, and longitudinal relationships. RESULTS: There was a weak but significant inverse correlation between CI and estimated glomerular filtration rate (eGFR), such that higher CI was paradoxically associated with worse eGFR (r = -0.12; p = 0.02). CI was not associated with blood ureanitrogen (BUN) or the BUN to creatinine ratio. Similarly, no associations were observed between CI and better renal function across multiple subgroups defined by indications for PAC or hemodynamic, laboratory, or demographic parameters. A nonlinear or threshold effect could not be identified. In patients with serial assessments of renal function and CI, we were unable to find within-subject associations between change in CI and eGFR using linear mixed modeling. Neither CI nor change in CI was lower in patients developing worsening renal function (p ≥ 0.28). CONCLUSIONS: These results reinforce evidence that reduced CI is not the primary driver for renal dysfunction in patients hospitalized for HF, irrespective of the degree of CI impairment or patient subgroup analyzed.
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