Both High and low blood eosinophil counts predict risk of all-cause and cardiac deaths in patients with acute MI: Study

According to the receiver operating characteristic analyses, the best cutoffs of EOSbaseline and EOSpost were 0.02×109/L and 0.03×109/L, respectively, to predict 30-day all-cause death (area under the curve [AUC]baseline, 0.60; AUCpost, 0.67). The optimal cutoffs of EOSbaseline and EOSpost were 0.20×109/L and 0.14×109/L to predict long-term all-cause mortality (1-year AUCbaseline, 0.59; 1-year AUCpost, 0.61). Multivariate logistic analysis showed that low EOSbaseline (<0.02×109/L) or low EOSpost (<0.03×109/L) predicted the 30-day all-cause (odds ratio [OR]baseline, 2.56; P=0.005; ORpost, 8.14; P<0.001) and cardiac (ORbaseline, 2.16; P=0.025; ORpost, 7.89; P<0.001) mortalities. Patients with combined low EOSbaseline (<0.02×109/L) and low EOSpost (<0.03×109/L) displayed synergistic risk of 30-day all-cause (OR, 13.93; P<0.001) and cardiac (OR, 11.38; P<0.001) deaths. In contrast, adjusted Cox proportional hazard test indicated that high EOSpost (≥0.14×109/L) was an independent risk for long-term all-cause mortality (hazard ratio, 1.84; P=0.010).

High and low blood eosinophil counts both predict the risk of all-cause and cardiac deaths in patients with acute myocardial infarction depending on the time of data collection. Dynamic changes of blood eosinophil counts offer a more accurate prediction of post-myocardial infarction deaths than a single time point data analysis.

Reference:

Lin K, Luo M, Gu X, Xu JY, Tian J, Libby P, Shi GP, Guo J. Changes in Blood Eosinophil Counts Predict the Death of Patients With Myocardial Infarction After Hospital Discharge. J Am Heart Assoc. 2024 Dec 20:e035383. doi: 10.1161/JAHA.124.035383. Epub ahead of print. PMID: 39704243.