TY - JOUR
T1 - Uric Acid Variability Is Associated with Poor Prognosis in Heart Failure
AU - Copeland, Viana
AU - Elimeleh, Shir
AU - Milwidsky, Assi
AU - Makmal, Noam
AU - Loutati, Ranel
AU - Fishman, Boris
AU - Wasserstrum, Yishay
AU - Zwilling, Moti
AU - Maor, Elad
AU - Grossman, Ehud
N1 - Publisher Copyright:
© 2026 by the authors.
PY - 2026/3
Y1 - 2026/3
N2 - Aims: Elevated uric acid (UA) levels correlate with worse heart failure (HF) outcomes, but past studies used single UA measurements. The effect of intra-individual UA fluctuations, beyond mean levels, is unclear. This study assesses the relationship between serum UA variability and adverse clinical outcomes in HF patients. Methods: We analyzed 18,115 HF patients from the SHEBAHEART registry (2009–2025) with at least three UA measurements within three years of diagnosis. UA variability was quantified as the mean deviation (MD) from each patient’s average UA level and divided into quartiles: Q1 (≤−0.69 mg/dL), Q2–Q3 (>−0.69 and <1.53 mg/dL, reference), and Q4 (≥1.53 mg/dL). All-cause mortality was the primary outcome and HF hospitalization was secondary. Cox regression, propensity score matching, and subgroup analyses were used. Results: Over a median follow-up of 4.3 years (IQR 1.6–7.7), 36% of patients were hospitalized for HF and 65.5% died. UA variability showed a graded association with outcomes. Low variability (Q1) was linked to reduced mortality (HR 0.79, 95% CI 0.75–0.83) and HF hospitalization (HR 0.84, 95% CI 0.79–0.90), while high variability (Q4) increased mortality (HR 1.58, 95% CI 1.51–1.69) and hospitalization risk (HR 1.17, 95% CI 1.10–1.25) (all p < 0.001). These associations remained after propensity score matching and across HF subgroups. Conclusions: UA variability is a robust, independent predictor of mortality and HF hospitalization. Serial UA monitoring may enhance risk stratification in HF management.
AB - Aims: Elevated uric acid (UA) levels correlate with worse heart failure (HF) outcomes, but past studies used single UA measurements. The effect of intra-individual UA fluctuations, beyond mean levels, is unclear. This study assesses the relationship between serum UA variability and adverse clinical outcomes in HF patients. Methods: We analyzed 18,115 HF patients from the SHEBAHEART registry (2009–2025) with at least three UA measurements within three years of diagnosis. UA variability was quantified as the mean deviation (MD) from each patient’s average UA level and divided into quartiles: Q1 (≤−0.69 mg/dL), Q2–Q3 (>−0.69 and <1.53 mg/dL, reference), and Q4 (≥1.53 mg/dL). All-cause mortality was the primary outcome and HF hospitalization was secondary. Cox regression, propensity score matching, and subgroup analyses were used. Results: Over a median follow-up of 4.3 years (IQR 1.6–7.7), 36% of patients were hospitalized for HF and 65.5% died. UA variability showed a graded association with outcomes. Low variability (Q1) was linked to reduced mortality (HR 0.79, 95% CI 0.75–0.83) and HF hospitalization (HR 0.84, 95% CI 0.79–0.90), while high variability (Q4) increased mortality (HR 1.58, 95% CI 1.51–1.69) and hospitalization risk (HR 1.17, 95% CI 1.10–1.25) (all p < 0.001). These associations remained after propensity score matching and across HF subgroups. Conclusions: UA variability is a robust, independent predictor of mortality and HF hospitalization. Serial UA monitoring may enhance risk stratification in HF management.
KW - heart failure
KW - prognosis
KW - risk stratification
KW - uric acid
UR - https://www.scopus.com/pages/publications/105034312972
U2 - 10.3390/jcm15062330
DO - 10.3390/jcm15062330
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AN - SCOPUS:105034312972
SN - 2077-0383
VL - 15
JO - Journal of Clinical Medicine
JF - Journal of Clinical Medicine
IS - 6
M1 - 2330
ER -