Abstract:
OBJECTIVE To investigate the association between changes in clearance rate of serum heparin-binding protein (HBP) and the 28-day in-hospital mortality risk in patients with septic.
METHODS A total of 206 septic patients admitted to Shenzhou Hospital in Hebei Province from May 2022 to May 2025 were enrolled. A latent class growth model (LCGM) was established based on serum HBP changes within 1–7 days of admission, categorizing patients into three trajectory groups: low-level decline (n=58), medium-level decline (n=56) and high-level stability (n=92). Clinical data and laboratory indicators were compared among the groups. Multivariate logistic regression analysis was employed to identify influencing factors of trajectory categories. Kaplan-Meier survival curves were plotted to compare cumulative survival rates among the groups. Cox regression was employed to assess the relationship between trajectories and 28-day mortality risk. Receiver operating characteristic (ROC) curve analysis was adopted evaluated the predictive efficacy of trajectories for mortality, followed by subgroup analysis.
RESULTS The low-level decline group exhibited a high proportion of septic shock, as well as high levels of white blood cell count (WBC), procalcitonin (PCT), C-reactive protein (CRP), prothrombin time (PT), activated partial thromboplastin time (APTT) and D-dimer (D-D) compared to the other two groups, while the high-level stability group showed high platelet (PLT) and fibrinogen (FIB) levels compared to the other two groups (P<0.05). PLT, PCT, CRP and D-D were identified as influencing factors for HBP clearance rate trajectory categories (P<0.05). The high-level stability group demonstrated a higher 28-day survival rate than the low- and medium-level decline groups (P<0.05). After adjusting for confounders, the medium- and low-level decline groups had 2.866-fold and 5.541-fold increased in mortality risks, respectively (P<0.05). ROC analysis revealed an area under the curve (AUC) of 0.836 (95%CI: 0.764–0.887) for predicting 28-day in-hospital mortality when HBP clearance followed a low-level decline trajectory. Subgroup analysis confirmed associations between HBP clearance rate and mortality risk across all subgroups (Ptrend<0.05).
CONCLUSIONS A low-level decline trajectory in serum HBP clearance rate is a risk factor for 28-day mortality in septic patients, demonstrating strong predictive value for mortality risk. Dynamic monitoring of HBP clearance provides critical insights for early identification of high-risk patients and risk stratification.