Dynamic inflammatory trajectories and 28-day mortality in patients in the intensive care unit: An exploratory observational study

Journal of intensive medicine Pub Date : 2026-04-01 Epub Date: 2026-02-28 DOI:10.1016/j.jointm.2025.12.011
Xinyuan Ding , Shangzhong Chen , Lihong Zhu , Chengcheng Zheng , Hang Mou , Guolong Cai , Yanfei Shen
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Abstract

Background

Inflammatory dynamics profoundly influence outcomes in critically ill patients; however, the prognostic significance of early inflammatory trajectories remains unclear. This study aimed to characterize the distinct trajectories of inflammatory mediators and evaluate their association with 28-day hospital mortality in patients in the intensive care unit (ICU).

Methods

A retrospective cohort of 511 critically ill patients in the ICU (July 2018–June 2024) was analyzed using group-based multitrajectory modeling for longitudinal measurements of C-reactive protein, procalcitonin (PCT), interleukin (IL)-2, IL-4, IL-6, and IL-10 during the first five ICU days (log-transformed as Y=ln[mediator + 1] for standardization). Multivariable Cox regression, inverse probability weighting, and treatment interaction analyses were performed to assess mortality risk and therapeutic responses across trajectories.

Results

Three inflammatory trajectories were identified. The mortality rate was 9.5% in the first trajectory (Traj. 1), characterized by persistent mild inflammation (18.6%). In the second trajectory (Traj. 2), a shift toward moderate inflammation was observed with subsequent resolution (55.6%), leading to a mortality rate of 12.3%. Compared with Traj. 1, this trajectory did not demonstrate a substantial increase in death risk (adjusted hazard ratio [HR]=1.14, 95% confidence interval [CI]: 0.54–2.42). The third trajectory (Traj. 3) exhibited sustained hyperinflammation (25.8%), resulting in a mortality rate of 28.0%, which was significantly associated with an elevated risk of death compared with Traj. 1 (adjusted HR=3.41, 95% CI: 1.57 to 7.41). Inverse probability weighting analysis confirmed that compared to Traj. 1, the absolute mortality increase for Traj. 2 was 4.3% (P=0.234), whereas that for Traj. 3 was 10.5% (P=0.031). Notably, corticosteroid use reduced mortality, specifically in Traj. 3 patients (P=0.031), whereas vasopressors and ulinastatin showed no trajectory-specific benefits.

Conclusions

Early inflammatory trajectories robustly predict ICU mortality, with sustained hyperinflammation (Traj. 3) conferring the highest risk. Dynamic biomarker profiling may facilitate the development of targeted immunomodulatory strategies in high-risk subgroups.
重症监护病房患者的动态炎症轨迹和28天死亡率:一项探索性观察研究
背景:炎症动力学对危重患者预后有深远影响;然而,早期炎症轨迹的预后意义尚不清楚。本研究旨在描述炎症介质的不同轨迹,并评估其与重症监护病房(ICU)患者28天住院死亡率的关系。方法回顾性分析511例ICU危重患者(2018年7月- 2024年6月)在ICU前5天的c反应蛋白、降钙素原(PCT)、白细胞介素(IL)-2、IL-4、IL-6和IL-10的纵向测量数据(对数转换为Y=ln[中介+ 1]进行标准化)。采用多变量Cox回归、逆概率加权和治疗相互作用分析来评估各轨迹的死亡率风险和治疗反应。结果确定了三种炎症轨迹。第一阶段死亡率为9.5%(图1),以持续轻度炎症为特征(18.6%)。在第二个轨迹(图2)中,观察到中度炎症的转变,随后消退(55.6%),导致死亡率为12.3%。与图j. 1相比,该轨迹并未显示死亡风险显著增加(调整后的风险比[HR]=1.14, 95%可信区间[CI]: 0.54-2.42)。第三种轨迹(图3)表现出持续的高炎症(25.8%),导致死亡率为28.0%,与图1相比,死亡率显著升高(调整后HR=3.41, 95% CI: 1.57至7.41)。反概率加权分析证实,与Traj. 1相比,Traj. 2的绝对死亡率增加了4.3% (P=0.234),而Traj. 3的绝对死亡率增加了10.5% (P=0.031)。值得注意的是,皮质类固醇的使用降低了死亡率,特别是在Traj. 3患者中(P=0.031),而血管加压剂和乌司他汀没有显示出特异性的益处。结论:早期炎症可以预测ICU患者的死亡率,其中持续的高炎症(Traj. 3)风险最高。动态生物标志物分析可能有助于在高危亚群中制定针对性的免疫调节策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of intensive medicine
Journal of intensive medicine Critical Care and Intensive Care Medicine
CiteScore
1.90
自引率
0.00%
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0
审稿时长
58 days
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