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Updated: Sep 12, 2025

Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
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Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis

Published on: June 30, 2023

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Prognosis Prediction of Patients with Chronic Heart Failure by Platelet Distribution Width and Serum Iron Metabolism

Hong Deng, Daxing Wang, Rui Yang

    Clinical Laboratory
    |August 8, 2025
    PubMed

    Insights

    Platelet distribution width (PDW) and iron metabolism indicators like serum ferritin (SF) and transferrin saturation (TS) correlate with cardiac function and inflammation in chronic heart failure (CHF). Their combined use effectively predicts poor prognosis in CHF patients.

    Area of Science:

    • Cardiology
    • Hematology
    • Biochemistry

    Background:

    • Chronic heart failure (CHF) involves complex cardiac dysfunction and inflammatory responses.
    • Investigating novel biomarkers for CHF prognosis is crucial for patient management.

    Purpose of the Study:

    • To explore the relationship between platelet distribution width (PDW), serum iron metabolism indicators (serum ferritin [SF], transferrin saturation [TS]), and cardiac function in CHF patients.
    • To assess the predictive value of these markers for poor prognosis in chronic heart failure.

    Main Methods:

    • Retrospective analysis of 84 CHF patients and 88 healthy controls.
    • Comparison of PDW, SF, TS, cardiac function indicators (e.g., left ventricular ejection fraction [LVEF]), and inflammatory markers (IL-6, hs-CRP, TNF-α) between groups.
    • Pearson correlation and ROC curve analysis were employed.

    Main Results:

    • CHF patients exhibited elevated IL-6, hs-CRP, and TNF-α compared to controls.
    • LVEF showed negative correlation with PDW and positive correlation with SF and TS.
    • Inflammatory markers positively correlated with PDW and negatively with SF and TS.
    • Combined PDW, SF, and TS demonstrated a high area under the ROC curve (0.874) for predicting CHF prognosis.

    Conclusions:

    • PDW, SF, and TS are significantly associated with cardiac function and inflammation in CHF.
    • The combination of PDW, SF, and TS offers valuable clinical utility for predicting prognosis in chronic heart failure patients.
    • This combined approach can aid in evaluating cardiac function and patient outcomes in CHF.
    Abstract

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