Nonlinear association between blood eosinophil counts and clinical outcomes in ICU-Admitted patients with acute exacerbation of COPD: a retrospective observational study

慢性阻塞性肺疾病急性加重期重症监护病房患者血液嗜酸性粒细胞计数与临床结局之间的非线性关系:一项回顾性观察研究

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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.

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