ArticleJournal of intensive medicine2026
Dynamic inflammatory trajectories and 28-day mortality in patients in the intensive care unit: An exploratory observational study.
Article in Journal of intensive medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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 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% ( 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.
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