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Chinese Journal of Critical Care Medicine(Electronic Edition) ›› 2025, Vol. 18 ›› Issue (06): 456-462. doi: 10.3877/cma.j.issn.1674-6880.2025.06.003

• Original Article • Previous Articles    

Association between blood urea nitrogen trajectories and 28-day mortality in patients with sepsis: a group-based trajectory analysis

Linfeng Liu1, Qianping Zhang2, Chunxing Lu3, Bo Feng1, Ben Chen1, Wenyan Zhang1, Yating Jiang1, Chenxi Shen1, Lingtao Chen4, Zhipeng Gao1, Yu Hao1, Yuqiang Gong1,()   

  1. 1Department of Critical Care Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
    2Department of Critical Care Medicine, Ningbo Municipal Hospital of Traditional Chinese Medicine, Ningbo 315010, China
    3Department of Ultrasound Medicine, Ningbo No.2 Hospital, Ningbo 315100, China
    4Department of Critical Care Medicine, Taizhou Hospital of Wenzhou Medical University, Taizhou 318000, China
  • Received:2025-06-22 Online:2025-12-31 Published:2026-03-02
  • Contact: Yuqiang Gong

Abstract:

Objective

To classify sepsis patients based on blood urea nitrogen (BUN) trajectories and to examine their association with 28-day mortality.

Methods

Based on BUN measurements taken on the 1st, 3rd, and 7th days after admission, we employed a latent growth mixture modeling (LGMM) to identify trajectory classes. Additionally, we plotted Kaplan-Meier survival curves and performed log-rank tests, followed by the application of multivariable Cox proportional hazards models to evaluate associations with 28-day mortality. Prespecified subgroup analyses were also conducted.

Results

A total of 210 patients diagnosed with sepsis were included in this study. Based on the longitudinal trajectories of BUN, three distinct trajectory patterns were identified: a low-initial slow-decline trajectory, a high-initial persistently high-level trajectory, and a moderate-initial slow-decline trajectory. The corresponding 28-day all-cause mortality rates for these trajectories were 20.0% (25/125), 64.0% (16/25), and 46.7% (28/60), respectively. Kaplan-Meier survival analysis demonstrated clear separation of the 28-day survival curves among the three groups, with a statistically significant difference observed between groups (log-rank χ2 = 20.030, P < 0.001). In comparison to the low-initial slow-decline trajectory, patients in both the high-initial persistently high-level trajectory and the moderate-initial slow-decline trajectory demonstrated significantly lower overall survival probabilities; notably, the high-initial persistently high-level group exhibited the lowest 28-day survival rate, indicating the poorest 28-day prognosis (all P < 0.001). Cox regression analysis showed that, using the low-initial slow-decline trajectory as the reference, patients classified in the high-initial persistently high-level trajectory [hazard ratio (HR) = 2.500, 95% confidence interval (CI) (1.200, 5.400), P = 0.020] and those in the moderate-initial slow-decline trajectory [HR = 2.600, 95%CI (1.400, 4.700), P = 0.002] exhibited a significantly increased risk of 28-day all-cause mortality.

Conclusions

Dynamic BUN trajectories delineate prognostically heterogeneous subtypes of sepsis, with the persistently high trajectory exhibiting the highest mortality rate. Continuous monitoring of BUN levels can facilitate early risk assessment and enable risk-stratified management strategies.

Key words: Blood urea nitrogen, Trajectory modeling, Sepsis, Mortality

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