Using eosinophil response to predict cardiovascular outcomes in patients with ST- elevation myocardial infarction who undergo primary percutaneous coronary intervention
Objective: Eosinophils have been implicated in mediating the inflammatory response after ST-elevation myocardial infarction (STEMI), but its role as a biomarker predicting major adverse cardiovascular events (MACE) remains unclear. We aimed to evaluate the predictive value of eosinophil response on...
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Elsevier
2025-06-01
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| Series: | International Journal of Cardiology. Cardiovascular Risk and Prevention |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772487525000212 |
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| author | Joyce Lim Trent Williams Lucy Murtha Nishani Mabotuwana Conagh Kelly Doan Ngo Andrew Boyle |
| author_facet | Joyce Lim Trent Williams Lucy Murtha Nishani Mabotuwana Conagh Kelly Doan Ngo Andrew Boyle |
| author_sort | Joyce Lim |
| collection | DOAJ |
| description | Objective: Eosinophils have been implicated in mediating the inflammatory response after ST-elevation myocardial infarction (STEMI), but its role as a biomarker predicting major adverse cardiovascular events (MACE) remains unclear. We aimed to evaluate the predictive value of eosinophil response on 30-day and 1-year MACE post primary percutaneous coronary intervention (PCI) after STEMI. Methods: Single centre retrospective cohort study of STEMI patients undergoing PCI. Eosinophil response was defined as the change in peripherally circulating eosinophils cell count at admission minus 48 h post primary PCI. Primary endpoints were 30-day and 1-year MACE. Receiver operating characteristic (ROC) curves were created to identify optimal cut-off predicting MACE. Multivariate logistic regression analyses were used to determine if the ROC cut-off was an independent predictor of MACE. Results: Of the 366 patients in this study (median age 61 years [53.0–71.0]; 267 males [73 %]), 41 patients (11.2 %) and 78 patients (21.3 %) developed MACE at 30-days and 1-year. The optimal ROC curve cut-off predicting MACE was an eosinophil response of greater than −0.05 × 10^9/L (ΔEos > −0.05). It had a sensitivity, specificity, and positive and negative predictive value of 83, 39, 6 and 98 % for 30-day MACE, and 74, 39, 19 and 88 % for 1-year MACE. An ΔEos > −0.05 change was associated with a threefold higher likelihood of MACE at 30-days (OR 3.1, 95 % CI 1.04–9.07, p=0.042), but not 1-year Conclusion: An eosinophil response of −0.05 × 10^9L at 48 h following primary PCI post STEMI is highly sensitive at predicting 30-day MACE, and in its absence, holds a high negative predictive value. |
| format | Article |
| id | doaj-art-59e7b85a58484879a359faa2bb8b267e |
| institution | DOAJ |
| issn | 2772-4875 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
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| series | International Journal of Cardiology. Cardiovascular Risk and Prevention |
| spelling | doaj-art-59e7b85a58484879a359faa2bb8b267e2025-08-20T03:09:44ZengElsevierInternational Journal of Cardiology. Cardiovascular Risk and Prevention2772-48752025-06-012520038310.1016/j.ijcrp.2025.200383Using eosinophil response to predict cardiovascular outcomes in patients with ST- elevation myocardial infarction who undergo primary percutaneous coronary interventionJoyce Lim0Trent Williams1Lucy Murtha2Nishani Mabotuwana3Conagh Kelly4Doan Ngo5Andrew Boyle6Heart and Stroke Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia; College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia; Corresponding author. C/o College of Health, Medicine and Wellbeing University of Newcastle, University Drive, Callaghan, NSW, 2308, Australia.Heart and Stroke Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia; College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia; Department of Cardiology, John Hunter Hospital, New Lambton Heights, NSW, AustraliaCollege of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia; Department of Cardiology, John Hunter Hospital, New Lambton Heights, NSW, AustraliaHeart and Stroke Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia; College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, AustraliaHeart and Stroke Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia; College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, AustraliaHeart and Stroke Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia; College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, AustraliaHeart and Stroke Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia; College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW, Australia; Department of Cardiology, John Hunter Hospital, New Lambton Heights, NSW, AustraliaObjective: Eosinophils have been implicated in mediating the inflammatory response after ST-elevation myocardial infarction (STEMI), but its role as a biomarker predicting major adverse cardiovascular events (MACE) remains unclear. We aimed to evaluate the predictive value of eosinophil response on 30-day and 1-year MACE post primary percutaneous coronary intervention (PCI) after STEMI. Methods: Single centre retrospective cohort study of STEMI patients undergoing PCI. Eosinophil response was defined as the change in peripherally circulating eosinophils cell count at admission minus 48 h post primary PCI. Primary endpoints were 30-day and 1-year MACE. Receiver operating characteristic (ROC) curves were created to identify optimal cut-off predicting MACE. Multivariate logistic regression analyses were used to determine if the ROC cut-off was an independent predictor of MACE. Results: Of the 366 patients in this study (median age 61 years [53.0–71.0]; 267 males [73 %]), 41 patients (11.2 %) and 78 patients (21.3 %) developed MACE at 30-days and 1-year. The optimal ROC curve cut-off predicting MACE was an eosinophil response of greater than −0.05 × 10^9/L (ΔEos > −0.05). It had a sensitivity, specificity, and positive and negative predictive value of 83, 39, 6 and 98 % for 30-day MACE, and 74, 39, 19 and 88 % for 1-year MACE. An ΔEos > −0.05 change was associated with a threefold higher likelihood of MACE at 30-days (OR 3.1, 95 % CI 1.04–9.07, p=0.042), but not 1-year Conclusion: An eosinophil response of −0.05 × 10^9L at 48 h following primary PCI post STEMI is highly sensitive at predicting 30-day MACE, and in its absence, holds a high negative predictive value.http://www.sciencedirect.com/science/article/pii/S2772487525000212EosinophilsST-Elevation myocardial infarctionPrimary percutaneous coronary interventionBiomarkerMajor adverse cardiovascular events |
| spellingShingle | Joyce Lim Trent Williams Lucy Murtha Nishani Mabotuwana Conagh Kelly Doan Ngo Andrew Boyle Using eosinophil response to predict cardiovascular outcomes in patients with ST- elevation myocardial infarction who undergo primary percutaneous coronary intervention International Journal of Cardiology. Cardiovascular Risk and Prevention Eosinophils ST-Elevation myocardial infarction Primary percutaneous coronary intervention Biomarker Major adverse cardiovascular events |
| title | Using eosinophil response to predict cardiovascular outcomes in patients with ST- elevation myocardial infarction who undergo primary percutaneous coronary intervention |
| title_full | Using eosinophil response to predict cardiovascular outcomes in patients with ST- elevation myocardial infarction who undergo primary percutaneous coronary intervention |
| title_fullStr | Using eosinophil response to predict cardiovascular outcomes in patients with ST- elevation myocardial infarction who undergo primary percutaneous coronary intervention |
| title_full_unstemmed | Using eosinophil response to predict cardiovascular outcomes in patients with ST- elevation myocardial infarction who undergo primary percutaneous coronary intervention |
| title_short | Using eosinophil response to predict cardiovascular outcomes in patients with ST- elevation myocardial infarction who undergo primary percutaneous coronary intervention |
| title_sort | using eosinophil response to predict cardiovascular outcomes in patients with st elevation myocardial infarction who undergo primary percutaneous coronary intervention |
| topic | Eosinophils ST-Elevation myocardial infarction Primary percutaneous coronary intervention Biomarker Major adverse cardiovascular events |
| url | http://www.sciencedirect.com/science/article/pii/S2772487525000212 |
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