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Biomarkers in addition to clinical characteristics for prediction of peripheral artery disease in patients with recent myocardial infarction
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, UCR-Uppsala Clinical Research Center. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiology. (Kardiologi)ORCID iD: 0000-0001-5726-1226
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, UCR-Uppsala Clinical Research Center. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiology. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Coagulation and inflammation science.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centre for Clinical Research, County of Västmanland.ORCID iD: 0000-0001-5731-966x
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centre for Clinical Research, County of Västmanland. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences.ORCID iD: 0000-0003-1433-0329
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(English)In: Article in journal (Other academic) Submitted
Abstract [en]

Abstract

Background Few studies have examined biomarkers in CAD and peripheral artery disease (PAD), their association and the ability to predict PAD.

Methods: Two prospectively observational studies including unselected patients with recent myocardial infarction were used for the analyses. PAD was defined as an abnormal ankle brachial index (ABI) score (<0.9 or > 1.4) on at least one side. The proximity extension assay (PEA) technique was used to simultaneously analyze 92 biomarkers with association to cardiovascular disease in samples early after an acute MI. Random forest was used to identify the biomarkers with a higher association to PAD. The additional discriminatory accuracy of adding biomarkers to clinical characteristics were analyzed by the c-statistics.

Results:  Six biomarkers were identified associated with prediction of PAD in the REBUS cohort. Three of these could be validated in the VaMIS cohort; Tumor necrosis factor receptor (TNFR-1),  Tumor necrosis factor receptor 2 (TNFR-2) and Growth Differentiation Factor 15 (GDF-15) with an increase in c-statistics; Tnfr1:0.709 (95% CI 0.640, 0.779) and 0.746 (95% CI 0.706,0.787), Tnfr2: 0.703 (95% CI 0.633, 0.773) and 0.745 (95% CI 0.704, 0.785), GDF-15: 0.710 (95% CI 0.640, 0.781) and 0.752 (95% CI 0.711, 0.792) in the REBUS and VaMIS cohort respectively. Adding a group of biomarkers to clinical characteristics further increased the c-statistics compared to a single biomarker.

Conclusions: Three biomarkers out of a panel of 92; TNFR-1, TNFR-2 and GDF-15 were identified associated with PAD in MI patients and could improve prediction of PAD in addition to clinical characteristics.

 

 

Keywords [en]
coronary artery disease, acute coronary syndrome, peripheral artery disease, biochemical biomarker
National Category
Medical and Health Sciences
Research subject
Cardiology
Identifiers
URN: urn:nbn:se:uu:diva-395814OAI: oai:DiVA.org:uu-395814DiVA, id: diva2:1365375
Available from: 2019-10-24 Created: 2019-10-24 Last updated: 2019-10-24
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Jönelid, BirgittaChristersson, ChristinaHedberg, PLeppert, JerzyLindahl, BertilLindhagen, LarsOldgren, JonasSiegbahn, Agneta

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UCR-Uppsala Clinical Research CenterCardiologyCoagulation and inflammation scienceCentre for Clinical Research, County of VästmanlandDepartment of Public Health and Caring SciencesClinical PhysiologyScience for Life Laboratory, SciLifeLabDepartment of Medical Biochemistry and MicrobiologyMolecular epidemiologyClinical Chemistry
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