Changes in Blood Eosinophil Counts Predict the Death of Patients With Myocardial Infarction After Hospital Discharge
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.
Authors
- Junli Guo (ORCID: https://orcid.org/0000-0002-9740-9819)
- Kaiyang Lin (ORCID: https://orcid.org/0000-0003-1421-2728)
- Guo‐Ping Shi (ORCID: https://orcid.org/0000-0001-5809-2567)
- Peter Libby (ORCID: https://orcid.org/0000-0002-1502-502X)
- Manqing Luo (ORCID: https://orcid.org/0000-0002-5706-1432)
- Jinwei Tian (ORCID: https://orcid.org/0000-0002-2730-0033)
- Junyan Xu (ORCID: https://orcid.org/0000-0001-7772-0469)
- Xia Gu (ORCID: https://orcid.org/0000-0001-8030-3631)
Institutions
- Brigham and Women's Hospital (US)
- Fujian Medical University (CN)
- Harvard University (US)
- Harbin Medical University (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
- Fujian Provincial Hospital (CN)
- Guangdong Academy of Medical Sciences (CN)
- Guangdong Provincial People's Hospital (CN)
- Hainan Medical University (CN)
- Fuzhou University (CN)
Publication Details
- Journal
- Journal of the American Heart Association
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1161/jaha.124.035383
- Citations
- 5
- Primary Topic
- IL-33, ST2, and ILC Pathways
- Type
- article
- Field-Weighted Citation Impact
- 1.20
Funders
- National Natural Science Foundation of China
- Hainan Medical University
- National Heart, Lung, and Blood Institute