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Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
Combining clinical markers can predict mortality in NYHA IV heart failure
Yi-Jiao Men1, Yan-Ling Dong1, Yu Gong1
1Department of Emergency, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, China.
Early assessment of heart failure prognosis is crucial. Biomarkers including Cystatin C, uric acid, BNP, RDW, and pre-albumin can help predict mortality in severe heart failure patients.
Area of Science:
- Cardiology
- Biomarkers
- Prognostic Indicators
Background:
- Early assessment of heart failure (HF) prognosis is vital for patient outcomes.
- Several biomarkers, including Brain Natriuretic Peptide (BNP), uric acid (UA), pre-albumin (PA), red blood cell distribution width (RDW), and Cystatin C (Cys C), are implicated in HF development.
Purpose of the Study:
- To evaluate the combined diagnostic utility of BNP, UA, PA, RDW, and Cys C as indicators for predicting mortality in patients with New York Heart Association (NYHA) classification IV heart failure (IV-HF).
Main Methods:
- A cohort of 193 patients with NYHA IV-HF underwent clinical and echocardiographic assessment.
- Patient data were collected, and survival status was monitored over a six-month follow-up period.
Main Results:
- Mortality was observed in 38.34% of patients within six months.
- Higher levels of age, disease duration, Cys C, UA, BNP, RDW, and cardiac dimensions, along with lower PA and left ventricular ejection fraction (LVEF), were associated with increased mortality.
- Cys C, UA, BNP, and RDW independently predicted mortality, while PA showed a protective association.
Conclusions:
- Biomarkers such as Cys C, UA, BNP, RDW, and PA are significant independent risk factors for mortality in NYHA IV-HF patients.
- A combination of clinical factors (age, disease duration) and biomarker levels (RDW, Cys C, UA, BNP, PA) can serve as effective diagnostic indicators for predicting mortality in this patient population.
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