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PLoS One ; 19(7): e0301319, 2024.
Article in English | MEDLINE | ID: mdl-39042640

ABSTRACT

BACKGROUND: Heart failure (HF) is becoming a growing public health concern. Diagnostic tests for determining the severity of HF often come with high costs and require specialized expertise, which makes it difficult to assess HF severity, especially in low-income countries or at primary healthcare facilities. Recently, red blood cell distribution width (RDW) has emerged as a promising, easily accessible marker associated with HF severity. The study aimed to assess changes in RDW levels in HF patients and the diagnostic value of RDW in detecting acute heart failure (AHF) among HF patients. METHODS: We conducted a cross-sectional examination involving 351 participants divided into HF and non-HF cohorts. HF was defined and categorized according to the diagnostic and treatment guidelines for AHF and chronic heart failure (CHF) set forth by the European Society of Cardiology (2021). Univariate and multivariate analysis of factors associated with AHF was performed. RESULTS: The study revealed that HF patients displayed higher median RDW levels (14.90% [13.70-17.00]) compared to non-HF individuals (13.00% [12.23-13.78]). RDW was notably elevated in HF patients with left ventricular ejection fraction < 50% compared to those with left ventricular ejection fraction ≥ 50%. ROC curve analysis of RDW for AHF detection identified a cutoff value of 13.85%, with a sensitivity of 86.05% and specificity of 47.18%, statistically significant at p < 0.001. RDW > 13.85% was identified as an independent risk factor for AHF in patients with HF, with odds ratios of 2.644 (95% CI, 1.190-5.875; p = 0.017). CONCLUSION: The study revealed significant RDW variations in patients with CHF and AHF compared to the control group. These findings suggest that RDW could be a biomarker for detecting HF severity.


Subject(s)
Erythrocyte Indices , Heart Failure , Humans , Heart Failure/blood , Heart Failure/diagnosis , Female , Cross-Sectional Studies , Male , Middle Aged , Aged , Vietnam/epidemiology , Erythrocytes/pathology , ROC Curve , Biomarkers/blood , Stroke Volume , Southeast Asian People
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