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Background <p>The ratio of serum sodium to log(D-dimer) (log-SDR) in different types of chronic heart failure (CHF) is not well established.</p> Methods <p>A total of 1,221 hospitalized CHF patients from the First Affiliated Hospital of Kunming Medical University between January 2017 and October 2021 were retrospectively analyzed. Patients were categorized into log-SDR-L group (log-SDR &lt; 47.90) and log-SDR-H group (log-SDR ≥ 47.90).Prognostic assessments included Kaplan-Meier survival analysis, Cox survival analyses and time-dependent Receiver operating characteristic (ROC) curves analysis to evaluate predictive performance.</p> Results <p>We collected data from 1008 patients with CHF. Kaplan–Meier survival analysis revealed that patients with high log-SDR levels had better overall survival (OS). After multivariate adjustment Cox proportional hazards analysis, the level of log-SDR was still independently related to mortality, regardless of CHF subtype.</p> Conclusions <p>log-SDR is an important predictor of all-cause mortality in patients with HF, especially female HFrEF plus HFmrEF(HR:0.927, 95%CI:0.898–0.958, <i>p</i> &lt; 0.001). Lower log-SDR levels are associated with an increased risk of all-cause mortality, irrespective of the HF subtype.</p>

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Predictive value of the serum sodium to log(D-dimer) ratio for the risk of all-cause death in patients with chronic heart failure with different ejection fractions

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月20日

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  • Yujuan Peng,
  • Wei Zhang,
  • Yunhong Yang,
  • Tao Shi,
  • Fazhi Yang,
  • Sirui Yang,
  • Xinuo Ma,
  • Ping Xia,
  • Lixing Chen

摘要

Background

The ratio of serum sodium to log(D-dimer) (log-SDR) in different types of chronic heart failure (CHF) is not well established.

Methods

A total of 1,221 hospitalized CHF patients from the First Affiliated Hospital of Kunming Medical University between January 2017 and October 2021 were retrospectively analyzed. Patients were categorized into log-SDR-L group (log-SDR < 47.90) and log-SDR-H group (log-SDR ≥ 47.90).Prognostic assessments included Kaplan-Meier survival analysis, Cox survival analyses and time-dependent Receiver operating characteristic (ROC) curves analysis to evaluate predictive performance.

Results

We collected data from 1008 patients with CHF. Kaplan–Meier survival analysis revealed that patients with high log-SDR levels had better overall survival (OS). After multivariate adjustment Cox proportional hazards analysis, the level of log-SDR was still independently related to mortality, regardless of CHF subtype.

Conclusions

log-SDR is an important predictor of all-cause mortality in patients with HF, especially female HFrEF plus HFmrEF(HR:0.927, 95%CI:0.898–0.958, p < 0.001). Lower log-SDR levels are associated with an increased risk of all-cause mortality, irrespective of the HF subtype.