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Dataset on blood biomarkers and GRACE score measured at admission for myocardial infarction in a large secondary hospital.
van den Berg, Victor J; van Toorenburg, Majorie; Drexhage, Olivier; Boersma, Eric; Kardys, Isabella; Umans, Victor A W M.
Afiliación
  • van den Berg VJ; Northwest Clinics, Alkmaar, the Netherlands.
  • van Toorenburg M; Erasmus MC, Rotterdam, the Netherlands.
  • Drexhage O; Northwest Clinics, Alkmaar, the Netherlands.
  • Boersma E; Northwest Clinics, Alkmaar, the Netherlands.
  • Kardys I; Erasmus MC, Rotterdam, the Netherlands.
  • Umans VAWM; Erasmus MC, Rotterdam, the Netherlands.
Data Brief ; 21: 371-376, 2018 Dec.
Article en En | MEDLINE | ID: mdl-30364643
ABSTRACT
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.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Data Brief Año: 2018 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Data Brief Año: 2018 Tipo del documento: Article País de afiliación: Países Bajos
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