Evidence map›Paper›PMID 33604561›Full record

ArticleCytokine: X2020

An IL-6-IL-8 score derived from principal component analysis is predictive of adverse outcome in acute myocardial infarction.

Gisela A Kristono, Ana S Holley, Kathryn E Hally, Morgane M Brunton-O'Sullivan, Bijia Shi, Scott A Harding, Peter D Larsen

Open access · hybridAbstract read
In one paragraph

Article in Cytokine: X, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.4field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 32 citations in OpenAlex.

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  10. IL-6 and Cardiovascular Risk: A Narrative Review.Current atherosclerosis reports · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Gisela A KristonoDepartment of Surgery and Anaesthesia, University of Otago Wellington, New Zealand.
Ana S HolleyDepartment of Surgery and Anaesthesia, University of Otago Wellington, New Zealand.
Kathryn E HallyDepartment of Surgery and Anaesthesia, University of Otago Wellington, New Zealand.
Morgane M Brunton-O'SullivanDepartment of Surgery and Anaesthesia, University of Otago Wellington, New Zealand.
Bijia ShiWellington Cardiovascular Research Group, New Zealand.
Scott A HardingWellington Cardiovascular Research Group, New Zealand.
Peter D LarsenDepartment of Surgery and Anaesthesia, University of Otago Wellington, New Zealand.
University of Otago · NZCapital and Coast District Health Board · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMany 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.

methodsThirteen 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.

resultsIL-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.

conclusionAn 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.

Indexed as

ACS, Acute coronary syndromeAcute myocardial infarctionAF, Atrial fibrillationAMI, Acute myocardial infarctionAUC, Area under the curveBMI, Body mass indexCAD, Coronary artery diseaseCBA, Cytometric bead arrayCHF, Chronic heart failureCI, Confidence intervalCVD, Cardiovascular diseaseCytokine scoreEFA, Exploratory factor analysisELISA, Enzyme-linked immunosorbent assayGDF-15, Growth differentiation factor-15GM-CSF, Granulocyte-macrophage colony-stimulating factorh, HoursHTN, HypertensionIFNγ, Interferon gammaIL-(number), Interleukin-(number)Interleukin-6Interleukin-8IQR, Interquartile rangeMACE, Major adverse cardiovascular eventsMajor adverse cardiovascular eventsMCP-1, Monocyte chemoattractant protein-1MFI, Mean fluorescence intensityMI, Myocardial infarctionNSTEMI, Non-ST elevation myocardial infarctionOR, Odds ratioPCA, Principal component analysisPCI, Percutaneous coronary interventionp, P-valuePrincipal component analysisRANTES, Regulated upon activation normal T-cell expressed and secretedROC, Receiver operator characteristicSTEMI, ST-elevation myocardial infarctionTGF-β1, Tumour growth factor-beta 1TIA, Transient ischaemic attackTNF-α, Tumour necrosis factor alphaTnT, Troponin TTRAIL-R2, Tumour necrosis factor-related apoptosis-inducing ligand receptor 2VEGF, Vascular endothelial growth factor

Identifiers

PMID33604561
PMCPMC7885891
OpenAlexW3092537945

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.