Nonlinear association between blood eosinophil counts and clinical outcomes in ICU-Admitted patients with acute exacerbation of COPD: a retrospective observational study
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: This retrospective cohort study aimed to examine the association between blood eosinophil counts and in-hospital mortality among patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) admitted to the intensive care unit (ICU). METHODS: Data were retrieved from the MIMIC-IV 2.2 database. AECOPD patients with blood eosinophil counts measured within the first 24 h following ICU admission were included. Kaplan-Meier (KM) survival analysis compared in-hospital mortality across eosinophil thresholds (0.10, 0.15, 0.20, and 0.30 × 10⁹/L). Four Cox regression models adjusted for confounders, with patients categorized into three eosinophil groups: eosinophil counts < 0.1 × 10⁹/L (Group I), 0.1 × 10⁹/L ≤ eosinophil counts < 0.3 × 10⁹/L (Group II), and eosinophil counts ≥ 0.3 × 10⁹/L (Group III), with the Group I serving as the reference group. Restricted cubic spline (RCS) analysis based on a Cox proportional hazards model was used to assess the non-linear relationship between eosinophil counts and in-hospital mortality. RESULTS: A total of 1,855 patients were analyzed. KM survival curves showed significant mortality differences at eosinophil thresholds of 0.10, 0.15, and 0.20 × 10⁹/L. Compared with Group I, Group II consistently exhibited a significantly lower risk of in-hospital mortality across all Cox models. Group III showed a mortality reduction only in the unadjusted model, which lost statistical significance after adjustment. RCS analysis revealed an "L"-shaped association, with an inflection point around 0.042 × 10⁹/L. CONCLUSION: Lower eosinophil counts were associated with increased in-hospital mortality among critically ill AECOPD patients. Absolute eosinophil counts may serve as a prognostic biomarker to support personalized ICU management. Prospective studies are needed to validate these findings and inform clinical decision-making.
Source: BMC Pulmonary Medicine
Authors: Rundi Gao, Suqun Zheng, Xiao Shen, Liying Xu, Huihua Hong
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,090
Award: G6030111699
OpenAlex ID: W4415517094
