Dynamic monitoring of a core pro-inflammatory cytokine panel improves mortality prediction in severe influenza.

Background: Hypercytokinemia is a major contributor of tissue damage and mortality in severe influenza. However, most studies rely on static, single-time-point measurements, providing limited insight into the evolving inflammatory response. The prognostic relevance of longitudinal cytokine trajectories remains poorly defined. Methods: We conducted a multi-cohort analysis of 186 patients from three public datasets to identify cytokines with influenza-severity-dependent expression patterns. We then analyzed a longitudinal cohort of 33 patients with severe influenza who underwent serial cytokine measurements, using linear mixed-effects models to identify the top 10 severity-associated cytokines. Integrating both analyses, we defined a core cytokine panel and a composite core panel score. Prognostic value was assessed using time-varying Cox regression and landmark analyses, with comparisons against clinical predictors, including LODS scores and CRP, as well as sensitivity analyses adjusting for diabetes. Results: A core panel of six pro-inflammatory cytokines (IL-8, IL-6, G-CSF, MCP-1, TNF-α, and MIP-1α) was identified. Non-survivors showed distinct longitudinal trajectories of the core panel score, characterized by a progressive increase over the disease course. Paired sputum analyses suggested that these systemic cytokine signatures partially reflected pulmonary inflammation. Baseline core panel scores were not significantly associated with mortality (HR 3.29, 95% CI 0.95-11.38; Conclusions: Dynamic monitoring of a core cytokine panel may provide greater prognostic information than single-time-point assessment in severe influenza, although these findings require validation in larger independent cohorts. Longitudinal inflammatory profiling may help refine risk stratification and provide a framework for future precision studies.