Screening of Predictive Biomarkers for Cardiorenal Syndrome

This study aims to explore the predictive value of specific biomarkers for cardiorenal syndrome (CRS) in patients with chronic heart failure (CHF). Building on previous research using Luminex technology, which identified that serum levels of SLPI, serpin E1, CXCL10, and CXCL13 were significantly higher, while properdin levels were lower in patients with post-cardiac surgery acute kidney injury (AKI) compared to those without renal impairment, this study will further investigate these biomarkers in the context of CRS. Adults aged 18-75 with stable CHF (including HFrEF, HFmrEF, and HFpEF subtypes) will be conducted in two phases:1. Screening phase: Compare serum levels of the above biomarkers between 30 CHF patients without kidney dysfunction and 30 CHF patients with CRS to identify biomarkers with significant differences. 2. Validation phase: Follow 90 CHF patients with normal kidney function for 1 year, and divide them into CHF-only and CRS groups based on renal function (creatinine and eGFR) after 1 year. The study will verify the predictive value of the screened biomarkers by comparing their levels before and after follow-up, analyzing correlations with NT-proBNP, creatinine, and eGFR, and using receiver operating characteristic (ROC) curves and area under the curve (AUC) to evaluate their predictive efficacy for CRS. The optimal predictive biomarker for this syndrome will be determined. The participants will: Provide blood samples for the detection of biomarkers and li…

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