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Background <p>This study was designed to evaluate the impact of blood eosinophil count (BEC) on adverse cardiovascular events (CVE) in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI), across varying different glucose metabolism statuses.</p> Method <p>Patients were classified into three groups based on glucose metabolism status (diabetes mellitus [DM], prediabetes mellitus [preDM], and normal glucose regulation [NGR]). They were further divided into quintiles (Q1-Q5) based on BEC levels. The primary CVE endpoint comprised cardiac death, nonfatal stroke or myocardial infarction, and target vessel revascularization, monitored over a five-year follow-up period.</p> Results <p>During the follow-up, a total of 866 CVE were recorded. Patients in Q1 and Q5 demonstrated significantly higher CVE risk within the preDM and DM groups. Kaplan-Meier survival analysis revealed that Q3 exhibited the lowest incidence of CVE (<i>p</i> &lt; 0.001). Incorporating BEC into the Cox regression model improved the C-statistics for CVE prediction in both preDM and DM groups. Restricted cubic spline analysis indicated a U-shaped relationship between BEC and CVE risk, with an identified inflection point at 0.11.</p> Conclusion <p>These findings provided the first clinical evidence that BEC levels were associated with CVE risk in ACS patients with preDM or DM undergoing PCI.</p>

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The relationship between blood eosinophil count and cardiovascular outcomes in prediabetes and diabetes patients with acute coronary syndrome: insights from a large Asian cohort analysis

  • 期刊论文

  • 发表日期：

    2025年10月15日

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  • Xunxun Feng,
  • Yang Liu,
  • Haokai Qin,
  • Sen Zhao,
  • Jiaqi Yang,
  • Shiwei Yang,
  • Zhiming Zhou,
  • Yuyang Liu,
  • Zhijian Wang,
  • Dongmei Shi,
  • Yujie Zhou,
  • Qianyun Guo

摘要

Background

This study was designed to evaluate the impact of blood eosinophil count (BEC) on adverse cardiovascular events (CVE) in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI), across varying different glucose metabolism statuses.

Method

Patients were classified into three groups based on glucose metabolism status (diabetes mellitus [DM], prediabetes mellitus [preDM], and normal glucose regulation [NGR]). They were further divided into quintiles (Q1-Q5) based on BEC levels. The primary CVE endpoint comprised cardiac death, nonfatal stroke or myocardial infarction, and target vessel revascularization, monitored over a five-year follow-up period.

Results

During the follow-up, a total of 866 CVE were recorded. Patients in Q1 and Q5 demonstrated significantly higher CVE risk within the preDM and DM groups. Kaplan-Meier survival analysis revealed that Q3 exhibited the lowest incidence of CVE (p < 0.001). Incorporating BEC into the Cox regression model improved the C-statistics for CVE prediction in both preDM and DM groups. Restricted cubic spline analysis indicated a U-shaped relationship between BEC and CVE risk, with an identified inflection point at 0.11.

Conclusion

These findings provided the first clinical evidence that BEC levels were associated with CVE risk in ACS patients with preDM or DM undergoing PCI.