Association of Kidney Function With Myocardial Recovery and Adverse Events Following Left Ventricular Assist Device Circulatory Support
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background Whether preleft ventricular assist device (LVAD) kidney function relates to myocardial recovery and LVAD‐related adverse events remains uncertain. We evaluated the association of baseline estimated glomerular filtration rate (eGFR) with recovery and adverse events after LVAD implantation. Methods We studied participants who underwent LVAD implantation between 2008 and 2021 at any of the 3 institutions comprising the Utah Cardiac Recovery Program. eGFR at implant was categorized as <60 versus ≥60 mL/min per 1.73 m 2 . Myocardial recovery was defined after ≥3 months of support as LV ejection fraction ≥40% and LV internal diameter in diastole ≤6.0 cm. Logistic regression was used to estimate the odds of myocardial recovery, and log‐linear models to estimate incidence rate ratios for adverse events. Results Among 385 patients (mean age 56 years, 84% men, 44% ischemic cardiomyopathy), 50 (13%) achieved recovery. Median time to echocardiogram with maximum LV ejection fraction was 120 (IQR, 71–199) days. Preimplant eGFR<60 versus ≥60 mL/min per 1.73 m 2 was not significantly associated with recovery (odds ratio [OR], 0.61 [95% CI, 0.34–1.11]). Lower eGFR was associated with a higher rate of major bleeding but did not reach statistical significance (incidence rate ratio, 1.41 [95% CI, 0.99–2.01]). There were no significant associations between lower eGFR and neurologic or device complications. Conclusions Pre‐LVAD low eGFR was not associated with lower rates of myocardial recovery. As the population of patients with concomitant advanced heart failure and cardiorenal syndrome continues to grow, these findings may help guide the management of these challenging patients.
Authors: Nisha Bansal, Eleni Maneta, Leila Zelnick, Christos P. Kyriakopoulos, Srinivasan Beddhu, Sydney Hartsell, April Stempien‐Otero, Fred Welt, Eleni Tseliou, Thomas Hanff, Marisca Nelson, Konstantinos Sideris, Ioannis Kyriakoulis, Jake Goldstein, Taylor Mendenhall, Amrit Deol, Rami Alharethi, Craig Selzman, Stavros Drakos
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,810
OpenAlex ID: W4416947731
