Heart Vessels. 2022 Jan 16. doi: 10.1007/s00380-022-02025-y. Online ahead of print.
ABSTRACT
Detecting high-risk patients for early rehospitalization is crucial in heart failure patient care. An association of albuminuria with cardiovascular events is well known. However, its predictive impact on rehospitalization for acute decompensated heart failure (ADHF) remains unknown. In this study, 190 consecutive patients admitted due to ADHF between 2017 and April 2019 who underwent urinalysis were enrolled. Among them, 140 patients from whom urine albumin-to-creatinine ratio (UACR) was measured with spot urine samples on admission were further analyzed. The association between UACR and rehospitalization due to HF during 1 year after discharge was evaluated. The mean age of 140 participants was 77.6 years and 55% were men. Only 18% (n = 25) of patients presented with normoalbuminuria (UACR < 30 mg/g∙creatinine), whereas 59% (n = 83) and 23% (n = 32) showed microalbuminuria (UACR 30-300 mg/g·creatinine) and macroalbuminuria (UACR > 300 mg/g·creatinine), respectively. The level of UACR on admission was correlated with the risk of subsequent rehospitalization due to HF (p = 0.017). The receiver operating characteristic analysis indicated that the best cut-off values for the UACR and B-type natriuretic peptide (BNP) levels to predict ADHF rehospitalization were 50 mg/g·creatinine and 824 pg/ml, respectively. When the patients were divided into four groups using both cut-off values, the individual predictive impacts of UACR and BNP on rehospitalization were comparable. Patients with both elevated UACR and BNP levels had a higher rate of HF rehospitalization than those with elevated BNP levels alone (p < 0.05). The combination of both values enabled more accurate prediction of HF rehospitalization than BNP levels alone. In conclusion, UACR could be a new useful biomarker to predict HF rehospitalization in patients with ADHF, especially in combination with the levels of BNP, and should be further evaluated in a prospective study.
PMID:35034172 | DOI:10.1007/s00380-022-02025-y