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.
Y, P., W, Z., Y, Y., T, S., F, Y., S, Y., X, M., P, X., & L, C. (2026). 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.. BMC cardiovascular disorders. https://doi.org/10.1186/s12872-026-05609-y
Y P, W Z, Y Y, T S, F Y, S Y, et al. 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.. BMC cardiovascular disorders. 2026; doi: 10.1186/s12872-026-05609-y
Y P, W Z, Y Y, et al. 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.[J]. BMC cardiovascular disorders. 2026. DOI: 10.1186/s12872-026-05609-y.
@article{y2026,
author = {Peng Y and Zhang W and Yang Y and Shi T and Yang F and Yang S and Ma X and Xia P and Chen L},
title = {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.},
journal = {BMC cardiovascular disorders},
year = {2026},
doi = {10.1186/s12872-026-05609-y},
note = {PMID: 42472779},
}
TY - JOUR AU - Peng Y AU - Zhang W AU - Yang Y AU - Shi T AU - Yang F AU - Yang S AU - Ma X AU - Xia P AU - Chen L TI - 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. T2 - BMC cardiovascular disorders PY - 2026 DO - 10.1186/s12872-026-05609-y AN - PMID:42472779 ER -
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.