An IL-6-IL-8 score derived from principal component analysis is predictive of adverse outcome in acute myocardial infarction
| Autor: | Gisela A Kristono, Scott A. Harding, Kathryn E Hally, Ana Holley, Peter D. Larsen, B. Shi, Morgane M. Brunton-O'Sullivan |
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| Rok vydání: | 2020 |
| Předmět: |
Oncology
Multivariate statistics HTN Hypertension RANTES Regulated upon activation normal T-cell expressed and secreted medicine.medical_treatment VEGF Vascular endothelial growth factor CHF Chronic heart failure urologic and male genital diseases Biochemistry CAD Coronary artery disease MCP-1 Monocyte chemoattractant protein-1 CVD Cardiovascular disease AF Atrial fibrillation Immunology and Allergy MFI Mean fluorescence intensity Myocardial infarction PCI Percutaneous coronary intervention GDF-15 Growth differentiation factor-15 Univariate analysis TNF-α Tumour necrosis factor alpha TRAIL-R2 Tumour necrosis factor-related apoptosis-inducing ligand receptor 2 Incidence (epidemiology) food and beverages Hematology AMI Acute myocardial infarction MACE Major adverse cardiovascular events Cytokine ELISA Enzyme-linked immunosorbent assay STEMI ST-elevation myocardial infarction Major adverse cardiovascular events EFA Exploratory factor analysis Research Article lcsh:Immunologic diseases. Allergy medicine.medical_specialty Immunology Principal component analysis Context (language use) Acute myocardial infarction ACS Acute coronary syndrome BMI Body mass index ROC Receiver operator characteristic Cytokine score TnT Troponin T Proinflammatory cytokine IFNγ Interferon gamma Internal medicine medicine cardiovascular diseases Molecular Biology TGF-β1 Tumour growth factor-beta 1 h Hours PCA Principal component analysis CBA Cytometric bead array IL-(number) Interleukin-(number) NSTEMI Non-ST elevation myocardial infarction business.industry Interleukin-6 CI Confidence interval fungi Interleukin-8 IQR Interquartile range medicine.disease AUC Area under the curve MI Myocardial infarction GM-CSF Granulocyte-macrophage colony-stimulating factor p P-value TIA Transient ischaemic attack lcsh:RC581-607 business Mace OR Odds ratio |
| Zdroj: | Cytokine Cytokine: X, Vol 2, Iss 4, Pp 100037-(2020) |
| ISSN: | 2590-1532 |
| Popis: | Highlights • Principal component analysis (PCA) can create scores from collinear markers. • This study shows a PCA-derived score can combine cytokines in AMI patients. • An IL-6-IL-8 score using PCA independently predicts poor outcomes in AMI. Introduction Many studies have shown that elevated biomarkers of inflammation following acute myocardial infarction (AMI) are associated with major adverse cardiovascular events (MACE). However, the optimal way of measuring the complex inflammatory response following AMI has not been determined. In this study we explore the use of principal component analysis (PCA) utilising multiple inflammatory cytokines to generate a combined cytokine score that may be predictive of MACE post-AMI. Methods Thirteen inflammatory cytokines were measured in plasma of 317 AMI patients, drawn 48–72 h following symptom onset. Patients were followed-up for one year to determine the incidence of MACE. PCA was used to generate a combined score using six cytokines that were detectable in the majority of patients (IL-1β, -6, -8, and -10; MCP-1; and RANTES), and using a subset of cytokines that were associated with MACE on univariate analysis. Multivariate models using baseline characteristics, elevated individual cytokines and PCA-derived scores determined independent predictors of MACE. Results IL-6 and IL-8 were significantly associated with MACE on univariate analysis and were combined using PCA into an IL-6-IL-8 score. The combined cytokine score and IL-6-IL-8 PCA-derived score were both significantly associated with MACE on univariate analysis. In multivariate models IL-6-IL-8 scores (OR = 2.77, p = 0.007) and IL-6 levels (OR = 2.18, p = 0.035) were found to be independent predictors of MACE. Conclusion An IL-6-IL-8 score derived from PCA was found to independently predict MACE at one year and was a stronger predictor than any individual cytokine, which suggests this may be an appropriate strategy to quantify inflammation post-AMI. Further investigation is required to determine the optimal set of cytokines to measure in this context. |
| Databáze: | OpenAIRE |
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