Literature DB >> 23054461

Multiple biomarkers for the prediction of short and long-term mortality after ST-segment elevation myocardial infarction: the Amsterdam Groningen collaboration.

Peter Damman1, Marthe A Kampinga, Iwan C C van der Horst, Pier Woudstra, Maik J Grundeken, Wichert J Kuijt, Ralf E Harskamp, Maarten W N Nijsten, Felix Zijlstra, Jan G P Tijssen, Bart J G L de Smet, Robbert J de Winter.   

Abstract

Multiple biomarkers improve prognostication for long-term mortality in ST-segment elevation myocardial infarction (STEMI). However, one-third of mortality after STEMI occurs within initial discharge. Our objective was to determine whether multiple biomarkers (glucose, N-terminal pro-brain natriuretic peptide (NT-proBNP), and estimated glomerular filtration rate (eGFR)) predict both short-term as long-term mortality in STEMI. We used a patient-pooled dataset of consecutive STEMI patients, with complete biomarkers, who underwent primary percutaneous coronary intervention (PCI) in two single centers (Amsterdam and Groningen). With a previously developed multimarker risk score, based on three biomarkers, patients were indicated as low-, intermediate- or high risk. Cumulative 4-year mortality was estimated with the Kaplan-Meier method and compared with a log-rank test. We compared short-term and long-term mortality with a landmark set at 30 days because previous studies have shown that mortality largely occurs within 30 days. A total of 2,355 STEMI-patients were treated with primary PCI. The mortality rates in the low- (n = 1,531), intermediate- (n = 403) and high-risk (n = 421) groups were 4.8, 16.1, and 43.9 %, respectively. The differences were observed at a follow-up up to 30 days (log-rank p < 0.001) as well as after 30 days (log-rank p < 0.001). A multimarker risk score, based on admission levels of glucose, NT-proBNP, and eGFR identifies STEMI patients at low-, intermediate-, and high-risk for short-term and long-term mortality.

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Year:  2013        PMID: 23054461     DOI: 10.1007/s11239-012-0809-4

Source DB:  PubMed          Journal:  J Thromb Thrombolysis        ISSN: 0929-5305            Impact factor:   2.300


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Authors:  Marthe A Kampinga; Peter Damman; Iwan C C van der Horst; Pier Woudstra; Wichert J Kuijt; Maarten W N Nijsten; Felix Zijlstra; Jan G P Tijssen; Robbert J de Winter; Bart J G L de Smet
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