Dataset on blood biomarkers and GRACE score measured at admission for myocardial infarction in a large secondary hospital

The GRACE score is currently the most widely used model to assess patient prognosis after myocardial infarction (MI). We have demonstrated that the prognostic performance of the GRACE score can be improved by adding blood biomarkers measured routinely at hospital admission in our study recently publ...

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Main Authors: Victor J. van den Berg, Majorie van Toorenburg, Olivier Drexhage, Eric Boersma, Isabella Kardys, Victor A.W.M. Umans
Format: Article
Language:English
Published: Elsevier 2018-12-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340918312083
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spelling doaj-58ef366f4e8d4360824a3daffc4f9ee02020-11-25T00:47:16ZengElsevierData in Brief2352-34092018-12-0121371376Dataset on blood biomarkers and GRACE score measured at admission for myocardial infarction in a large secondary hospitalVictor J. van den Berg0Majorie van Toorenburg1Olivier Drexhage2Eric Boersma3Isabella Kardys4Victor A.W.M. Umans5Northwest Clinics, Alkmaar, the Netherlands; Erasmus MC, Rotterdam, the NetherlandsNorthwest Clinics, Alkmaar, the NetherlandsNorthwest Clinics, Alkmaar, the NetherlandsErasmus MC, Rotterdam, the NetherlandsErasmus MC, Rotterdam, the NetherlandsNorthwest Clinics, Alkmaar, the Netherlands; Corresponding author.The GRACE score is currently the most widely used model to assess patient prognosis after myocardial infarction (MI). We have demonstrated that the prognostic performance of the GRACE score can be improved by adding blood biomarkers measured routinely at hospital admission in our study recently published in the International Journal of Cardiology: “Addition of routinely measured blood biomarkers significantly improves GRACE risk stratification in patients with myocardial infarction”.In this Data-in-Brief article we present additional original data from our dataset. This dataset consists of clinical and biomarker information and follow-up data of 2055 confirmed MI patients. In 143 of these patients the endpoint (all-cause mortality or reMI) occurred during six months follow-up. We describe the differences in baseline characteristics between ST-elevation MI (STEMI) patients and non-STEMI patients, differences in biomarker levels at admission between patients in whom the endpoint occurred and patients who remained endpoint-free, and associations of the biomarkers with the endpoint. Moreover, we show additional statistical results of analyses that compare the original GRACE-only model with our extended GRACE/biomarker model.http://www.sciencedirect.com/science/article/pii/S2352340918312083
collection DOAJ
language English
format Article
sources DOAJ
author Victor J. van den Berg
Majorie van Toorenburg
Olivier Drexhage
Eric Boersma
Isabella Kardys
Victor A.W.M. Umans
spellingShingle Victor J. van den Berg
Majorie van Toorenburg
Olivier Drexhage
Eric Boersma
Isabella Kardys
Victor A.W.M. Umans
Dataset on blood biomarkers and GRACE score measured at admission for myocardial infarction in a large secondary hospital
Data in Brief
author_facet Victor J. van den Berg
Majorie van Toorenburg
Olivier Drexhage
Eric Boersma
Isabella Kardys
Victor A.W.M. Umans
author_sort Victor J. van den Berg
title Dataset on blood biomarkers and GRACE score measured at admission for myocardial infarction in a large secondary hospital
title_short Dataset on blood biomarkers and GRACE score measured at admission for myocardial infarction in a large secondary hospital
title_full Dataset on blood biomarkers and GRACE score measured at admission for myocardial infarction in a large secondary hospital
title_fullStr Dataset on blood biomarkers and GRACE score measured at admission for myocardial infarction in a large secondary hospital
title_full_unstemmed Dataset on blood biomarkers and GRACE score measured at admission for myocardial infarction in a large secondary hospital
title_sort dataset on blood biomarkers and grace score measured at admission for myocardial infarction in a large secondary hospital
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2018-12-01
description The GRACE score is currently the most widely used model to assess patient prognosis after myocardial infarction (MI). We have demonstrated that the prognostic performance of the GRACE score can be improved by adding blood biomarkers measured routinely at hospital admission in our study recently published in the International Journal of Cardiology: “Addition of routinely measured blood biomarkers significantly improves GRACE risk stratification in patients with myocardial infarction”.In this Data-in-Brief article we present additional original data from our dataset. This dataset consists of clinical and biomarker information and follow-up data of 2055 confirmed MI patients. In 143 of these patients the endpoint (all-cause mortality or reMI) occurred during six months follow-up. We describe the differences in baseline characteristics between ST-elevation MI (STEMI) patients and non-STEMI patients, differences in biomarker levels at admission between patients in whom the endpoint occurred and patients who remained endpoint-free, and associations of the biomarkers with the endpoint. Moreover, we show additional statistical results of analyses that compare the original GRACE-only model with our extended GRACE/biomarker model.
url http://www.sciencedirect.com/science/article/pii/S2352340918312083
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