Cardiac troponins for the diagnosis of acute myocardial infarction in chronic kidney disease

Background: Patients with chronic kidney disease (CKD) are at high risk of myocardial infarction. Cardiac troponins are the biomarkers of choice for the diagnosis of acute myocardial infarction (AMI) without ST‐segment e
Background: Patients with chronic kidney disease (CKD) are at high risk of myocardial infarction. Cardiac troponins are the biomarkers of choice for the diagnosis of acute myocardial infarction (AMI) without ST‐segment elevation (NSTE). In patients with CKD, troponin levels are often chronically elevated, which reduces their diagnostic utility when NSTE‐AMI is suspected. The aim of this study was to derive a diagnostic algorithm for serial troponin measurements in patients with CKD and suspected NSTE‐AMI.
Methods and Results: Two cohorts, 1494 patients from a prospective cohort study with high‐sensitivity troponin I (hs‐cTnI) measurements and 7059 cases from a clinical registry with high‐sensitivity troponin T (hs‐cTnT ) measurements, were analyzed. The prospective cohort comprised 280 CKD patients (estimated glomerular filtration rate <60 mL/min/1.73 m2). The registry data set contained 1581 CKD patients. In both cohorts, CKD patients were more likely to have adjudicated NSTE‐AMI than non‐CKD patients. The specificities of hs‐cTnI and hs‐cTnT to detect NSTE‐AMI were reduced with CKD (0.82 versus 0.91 for hs‐cTnI and 0.26 versus 0.73 for hs‐cTnT) but could be restored by applying optimized cutoffs to either the first or a second measurement after 3 hours. The best diagnostic performance was achieved with an algorithm that incorporates serial measurements and rules in or out AMI in 69% (hs‐cTnI) and 55% (hs‐cTnT) of CKD patients.
Conclusions: The diagnostic performance of high‐sensitivity cardiac troponins in patients with CKD with suspected NSTE‐AMI is improved by use of an algorithm based on admission troponin and dynamic changes in troponin concentration.
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Metadaten
Author:Daniel Kraus, Beatrice von Jeinsen, Stergios Tzikas, Lars Palapies, Tanja Zeller, Christoph Bickel, Georg Fette, Karl Johannes Lackner, Christiane Drechsler, Johannes T. Neumann, Stephan Baldus, Stefan Blankenberg, Thomas Münzel, Christoph Wanner, Andreas Michael Zeiher, Till Keller
URN:urn:nbn:de:hebis:30:3-478418
DOI:http://dx.doi.org/10.1161/JAHA.117.008032
ISSN:2047-9980
Pubmed Id:http://www.ncbi.nlm.nih.gov/pubmed?term=30371308
Parent Title (English):Journal of the American Heart Association
Publisher:Association
Place of publication:New York, NY
Document Type:Article
Language:English
Year of Completion:2018
Date of first Publication:2018/09/25
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2018/11/15
Tag:biomarker; chronic kidney disease; cohort study; decision aids; non-ST-segment elevation acute coronary syndrome
Volume:7
Issue:19, e008032
Pagenumber:24
First Page:1
Last Page:10
Note:
Copyright © 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell
This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
HeBIS PPN:440677424
Institutes:Medizin
Exzellenzcluster Herz-Lungen-System
Dewey Decimal Classification:610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell - Keine Bearbeitung 4.0

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