BMC cardiovascular disorders · 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.
СтатьяСравнительное исследованиеНазвание и аннотация: Перевод пока не подготовлен
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Peng Yujuan, Zhang Wei, Yang Yunhong, Shi Tao, Yang Fazhi, Yang Sirui, Ma Xinuo, Xia Ping, Chen Lixing
Аннотация
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.
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.