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

Abstract

Background: We aimed to investigate the correlations of platelet distribution width (PDW) and serum iron metabolism indicators with cardiac function and inflammatory response in patients with chronic heart failure (CHF) and their predictive values for poor prognosis.

Methods: Eighty-four patients with CHF treated from August 2022 through September 2024 were retrospectively selected as the HF group, while eighty-eight healthy people with normal cardiac function during the same period were selected as the control group. PDW, serum ferritin (SF), transferrin saturation (TS), cardiac function indicators, and inflammatory response were compared between the two groups.

Results: The levels of interleukin-6 (IL-6), C-reactive protein (hs-CRP), and tumor necrosis factor-α (TNF-α) in the HF group were significantly higher than in the control group (p < 0.05). The results of the Pearson correlation analysis revealed that left ventricular ejection fraction (LVEF) was negatively correlated with PDW and positively correlated with SF and TS. The IL-6, hs-CRP, and TNF-α levels all had a positive correlation with PDW and negative correlations with SF and TS (p < 0.05). The areas under the receiver operating characteristic (ROC) curve of PDW, SF, TS, and combination of the three for predicting the prognosis of CHF patients were 0.784, 0.781, 0.715, and 0.874, respectively, suggesting that combined detection possesses certain clinical value.

Conclusions: The combination of PDW, SF, and TS has good clinical value for predicting the prognosis of patients with CHF, which can assist in the evaluation of cardiac function and prognosis of CHF patients.