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Cardiorenal Interactions in Acute Decompensated Heart Failure: Associations Between Renal Dysfunction, Albuminuria,
Claudia Andreea Palcău1,2, Livia Florentina Păduraru1,2, Ana Maria Alexandra Stănescu1,3,4,5
1Faculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Abstract:
Background: Renal dysfunction is common in patients hospitalized with acute decompensated heart failure (ADHF) and represents a key component of cardiorenal syndrome. However, the relationships between renal impairment, cardiorenal biomarkers, and echocardiographic markers of myocardial function remain incompletely characterized in ADHF populations. Methods: We conducted a cross-sectional analysis of 144 consecutive patients hospitalized with ADHF. Renal dysfunction was defined as an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2. Clinical, laboratory, and echocardiographic parameters were compared according to renal function. Correlation analyses, multivariable logistic regression, and receiver operating characteristic (ROC) curve analyses were performed to evaluate associations between renal dysfunction, cardiorenal biomarkers, and myocardial functional indices. Results: Patients with renal dysfunction were older (p = 0.002) and more frequently had diabetes mellitus (p = 0.006). Echocardiographic evaluation demonstrated significantly lower systolic mitral annular velocity (S') (p < 0.001) and higher E/e' ratios (p < 0.001) in patients with renal dysfunction, whereas left ventricular ejection fraction (p = 0.133) and global longitudinal strain (GLS) (p = 0.121) were similar between groups. Log-transformed NT-proBNP and albuminuria were significantly correlated with S', GLS, and E/e' (all p < 0.001). In multivariable analysis adjusted for clinically relevant confounders, chronic kidney disease (OR 8.16, 95% CI 2.13-31.34; p = 0.002) and the E/e' ratio (OR 2.01, 95% CI 1.52-2.66; p < 0.001) remained independently associated with renal dysfunction. ROC analysis showed that E/e' had the strongest ability to distinguish between patients with and without renal dysfunction (AUC 0.887, 95% CI 0.834-0.941; p < 0.001). Conclusions: Renal dysfunction in ADHF is associated with echocardiographic markers reflecting impaired longitudinal myocardial function and elevated filling pressure, with E/e' emerging as the strongest echocardiographic correlate. The integration of echocardiographic parameters with cardiorenal biomarkers may improve the characterization of the cardiorenal profile in patients hospitalized with ADHF.
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