Inflammatory plasma proteins predict short-term mortality in patients with an acute myocardial infarction

Background The aim of this study was to investigate the association between inflammatory markers and 28-day mortality in patients with ST-elevation myocardial infarction (STEMI). Methods In 398 STEMI patients recorded between 2009 and 2013 by the population-based Myocardial Infarction Registry Augsburg, 92 protein biomarkers were measured in admission arterial blood samples using the OLINK inflammatory panel. In multivariable-adjusted logistic regression models, the association between each marker and 28-day mortality was investigated. The values of the biomarkers most significantly associated with mortality were standardized and summarized to obtain a prediction score for 28-day mortality. The predictive ability of this biomarker score was compared to the established GRACE score using ROC analysis. Finally, a combined total score was generated by adding the standardized biomarker score to the standardized GRACE score. Results The markers IL-6, IL-8, IL-10, FGF-21, FGF-23, ST1A1, MCP-1, 4E-BP1, and CST5 were most significantly associated with 28-day mortality, each with FDR-adjusted (false discovery rate adjusted) p-values of < 0.01 in the multivariable logistic regression model. In a ROC analysis, the biomarker score and the GRACE score showed comparable predictive ability for 28-day mortality (biomarker score AUC: 0.7859 [CI: 0.6735–0.89], GRACE score AUC: 0.7961 [CI: 0.6965–0.8802]). By combining the biomarker score and the Grace score, the predictive ability improved with an AUC of 0.8305 [CI: 0.7269–0.9187]. A continuous Net Reclassification Improvement (cNRI) of 0.566 (CI: 0.192–0.94, p-value: 0.003) and an Integrated Discrimination Improvement (IDI) of 0.083 ((CI: 0.016–0.149, p-value: 0.015) confirmed the superiority of the combined score over the GARCE score. Conclusions Inflammatory biomarkers may play a significant role in the pathophysiology of acute myocardial infarction (AMI) and AMI-related mortality and might be a promising starting point for personalized medicine, which aims to provide each patient with tailored therapy. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Schmitz, T. [verfasserIn] Harmel, E. Heier, M. Peters, A. Linseisen, J. Meisinger, C.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Inflammatory marker Myocardial infarction 28-day mortality

Anmerkung:	© The Author(s) 2022. corrected publication 2023

Übergeordnetes Werk:	Enthalten in: Journal of translational medicine - London : BioMed Central, 2003, 20(2022), 1 vom: 08. Okt.
Übergeordnetes Werk:	volume:20 ; year:2022 ; number:1 ; day:08 ; month:10

Links:	Volltext

DOI / URN:	10.1186/s12967-022-03644-9

Katalog-ID:	SPR051047314

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520			\|a Background The aim of this study was to investigate the association between inflammatory markers and 28-day mortality in patients with ST-elevation myocardial infarction (STEMI). Methods In 398 STEMI patients recorded between 2009 and 2013 by the population-based Myocardial Infarction Registry Augsburg, 92 protein biomarkers were measured in admission arterial blood samples using the OLINK inflammatory panel. In multivariable-adjusted logistic regression models, the association between each marker and 28-day mortality was investigated. The values of the biomarkers most significantly associated with mortality were standardized and summarized to obtain a prediction score for 28-day mortality. The predictive ability of this biomarker score was compared to the established GRACE score using ROC analysis. Finally, a combined total score was generated by adding the standardized biomarker score to the standardized GRACE score. Results The markers IL-6, IL-8, IL-10, FGF-21, FGF-23, ST1A1, MCP-1, 4E-BP1, and CST5 were most significantly associated with 28-day mortality, each with FDR-adjusted (false discovery rate adjusted) p-values of < 0.01 in the multivariable logistic regression model. In a ROC analysis, the biomarker score and the GRACE score showed comparable predictive ability for 28-day mortality (biomarker score AUC: 0.7859 [CI: 0.6735–0.89], GRACE score AUC: 0.7961 [CI: 0.6965–0.8802]). By combining the biomarker score and the Grace score, the predictive ability improved with an AUC of 0.8305 [CI: 0.7269–0.9187]. A continuous Net Reclassification Improvement (cNRI) of 0.566 (CI: 0.192–0.94, p-value: 0.003) and an Integrated Discrimination Improvement (IDI) of 0.083 ((CI: 0.016–0.149, p-value: 0.015) confirmed the superiority of the combined score over the GARCE score. Conclusions Inflammatory biomarkers may play a significant role in the pathophysiology of acute myocardial infarction (AMI) and AMI-related mortality and might be a promising starting point for personalized medicine, which aims to provide each patient with tailored therapy.
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allfields	10.1186/s12967-022-03644-9 doi (DE-627)SPR051047314 (SPR)s12967-022-03644-9-e DE-627 ger DE-627 rakwb eng Schmitz, T. verfasserin (orcid)0000-0002-3619-0438 aut Inflammatory plasma proteins predict short-term mortality in patients with an acute myocardial infarction 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022. corrected publication 2023 Background The aim of this study was to investigate the association between inflammatory markers and 28-day mortality in patients with ST-elevation myocardial infarction (STEMI). Methods In 398 STEMI patients recorded between 2009 and 2013 by the population-based Myocardial Infarction Registry Augsburg, 92 protein biomarkers were measured in admission arterial blood samples using the OLINK inflammatory panel. In multivariable-adjusted logistic regression models, the association between each marker and 28-day mortality was investigated. The values of the biomarkers most significantly associated with mortality were standardized and summarized to obtain a prediction score for 28-day mortality. The predictive ability of this biomarker score was compared to the established GRACE score using ROC analysis. Finally, a combined total score was generated by adding the standardized biomarker score to the standardized GRACE score. Results The markers IL-6, IL-8, IL-10, FGF-21, FGF-23, ST1A1, MCP-1, 4E-BP1, and CST5 were most significantly associated with 28-day mortality, each with FDR-adjusted (false discovery rate adjusted) p-values of < 0.01 in the multivariable logistic regression model. In a ROC analysis, the biomarker score and the GRACE score showed comparable predictive ability for 28-day mortality (biomarker score AUC: 0.7859 [CI: 0.6735–0.89], GRACE score AUC: 0.7961 [CI: 0.6965–0.8802]). By combining the biomarker score and the Grace score, the predictive ability improved with an AUC of 0.8305 [CI: 0.7269–0.9187]. A continuous Net Reclassification Improvement (cNRI) of 0.566 (CI: 0.192–0.94, p-value: 0.003) and an Integrated Discrimination Improvement (IDI) of 0.083 ((CI: 0.016–0.149, p-value: 0.015) confirmed the superiority of the combined score over the GARCE score. Conclusions Inflammatory biomarkers may play a significant role in the pathophysiology of acute myocardial infarction (AMI) and AMI-related mortality and might be a promising starting point for personalized medicine, which aims to provide each patient with tailored therapy. Inflammatory marker (dpeaa)DE-He213 Myocardial infarction (dpeaa)DE-He213 28-day mortality (dpeaa)DE-He213 Harmel, E. aut Heier, M. aut Peters, A. aut Linseisen, J. aut Meisinger, C. aut Enthalten in Journal of translational medicine London : BioMed Central, 2003 20(2022), 1 vom: 08. Okt. (DE-627)369084136 (DE-600)2118570-0 1479-5876 nnns volume:20 year:2022 number:1 day:08 month:10 https://dx.doi.org/10.1186/s12967-022-03644-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2022 1 08 10
spelling	10.1186/s12967-022-03644-9 doi (DE-627)SPR051047314 (SPR)s12967-022-03644-9-e DE-627 ger DE-627 rakwb eng Schmitz, T. verfasserin (orcid)0000-0002-3619-0438 aut Inflammatory plasma proteins predict short-term mortality in patients with an acute myocardial infarction 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022. corrected publication 2023 Background The aim of this study was to investigate the association between inflammatory markers and 28-day mortality in patients with ST-elevation myocardial infarction (STEMI). Methods In 398 STEMI patients recorded between 2009 and 2013 by the population-based Myocardial Infarction Registry Augsburg, 92 protein biomarkers were measured in admission arterial blood samples using the OLINK inflammatory panel. In multivariable-adjusted logistic regression models, the association between each marker and 28-day mortality was investigated. The values of the biomarkers most significantly associated with mortality were standardized and summarized to obtain a prediction score for 28-day mortality. The predictive ability of this biomarker score was compared to the established GRACE score using ROC analysis. Finally, a combined total score was generated by adding the standardized biomarker score to the standardized GRACE score. Results The markers IL-6, IL-8, IL-10, FGF-21, FGF-23, ST1A1, MCP-1, 4E-BP1, and CST5 were most significantly associated with 28-day mortality, each with FDR-adjusted (false discovery rate adjusted) p-values of < 0.01 in the multivariable logistic regression model. In a ROC analysis, the biomarker score and the GRACE score showed comparable predictive ability for 28-day mortality (biomarker score AUC: 0.7859 [CI: 0.6735–0.89], GRACE score AUC: 0.7961 [CI: 0.6965–0.8802]). By combining the biomarker score and the Grace score, the predictive ability improved with an AUC of 0.8305 [CI: 0.7269–0.9187]. A continuous Net Reclassification Improvement (cNRI) of 0.566 (CI: 0.192–0.94, p-value: 0.003) and an Integrated Discrimination Improvement (IDI) of 0.083 ((CI: 0.016–0.149, p-value: 0.015) confirmed the superiority of the combined score over the GARCE score. Conclusions Inflammatory biomarkers may play a significant role in the pathophysiology of acute myocardial infarction (AMI) and AMI-related mortality and might be a promising starting point for personalized medicine, which aims to provide each patient with tailored therapy. Inflammatory marker (dpeaa)DE-He213 Myocardial infarction (dpeaa)DE-He213 28-day mortality (dpeaa)DE-He213 Harmel, E. aut Heier, M. aut Peters, A. aut Linseisen, J. aut Meisinger, C. aut Enthalten in Journal of translational medicine London : BioMed Central, 2003 20(2022), 1 vom: 08. Okt. (DE-627)369084136 (DE-600)2118570-0 1479-5876 nnns volume:20 year:2022 number:1 day:08 month:10 https://dx.doi.org/10.1186/s12967-022-03644-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2022 1 08 10
allfields_unstemmed	10.1186/s12967-022-03644-9 doi (DE-627)SPR051047314 (SPR)s12967-022-03644-9-e DE-627 ger DE-627 rakwb eng Schmitz, T. verfasserin (orcid)0000-0002-3619-0438 aut Inflammatory plasma proteins predict short-term mortality in patients with an acute myocardial infarction 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022. corrected publication 2023 Background The aim of this study was to investigate the association between inflammatory markers and 28-day mortality in patients with ST-elevation myocardial infarction (STEMI). Methods In 398 STEMI patients recorded between 2009 and 2013 by the population-based Myocardial Infarction Registry Augsburg, 92 protein biomarkers were measured in admission arterial blood samples using the OLINK inflammatory panel. In multivariable-adjusted logistic regression models, the association between each marker and 28-day mortality was investigated. The values of the biomarkers most significantly associated with mortality were standardized and summarized to obtain a prediction score for 28-day mortality. The predictive ability of this biomarker score was compared to the established GRACE score using ROC analysis. Finally, a combined total score was generated by adding the standardized biomarker score to the standardized GRACE score. Results The markers IL-6, IL-8, IL-10, FGF-21, FGF-23, ST1A1, MCP-1, 4E-BP1, and CST5 were most significantly associated with 28-day mortality, each with FDR-adjusted (false discovery rate adjusted) p-values of < 0.01 in the multivariable logistic regression model. In a ROC analysis, the biomarker score and the GRACE score showed comparable predictive ability for 28-day mortality (biomarker score AUC: 0.7859 [CI: 0.6735–0.89], GRACE score AUC: 0.7961 [CI: 0.6965–0.8802]). By combining the biomarker score and the Grace score, the predictive ability improved with an AUC of 0.8305 [CI: 0.7269–0.9187]. A continuous Net Reclassification Improvement (cNRI) of 0.566 (CI: 0.192–0.94, p-value: 0.003) and an Integrated Discrimination Improvement (IDI) of 0.083 ((CI: 0.016–0.149, p-value: 0.015) confirmed the superiority of the combined score over the GARCE score. Conclusions Inflammatory biomarkers may play a significant role in the pathophysiology of acute myocardial infarction (AMI) and AMI-related mortality and might be a promising starting point for personalized medicine, which aims to provide each patient with tailored therapy. Inflammatory marker (dpeaa)DE-He213 Myocardial infarction (dpeaa)DE-He213 28-day mortality (dpeaa)DE-He213 Harmel, E. aut Heier, M. aut Peters, A. aut Linseisen, J. aut Meisinger, C. aut Enthalten in Journal of translational medicine London : BioMed Central, 2003 20(2022), 1 vom: 08. Okt. (DE-627)369084136 (DE-600)2118570-0 1479-5876 nnns volume:20 year:2022 number:1 day:08 month:10 https://dx.doi.org/10.1186/s12967-022-03644-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2022 1 08 10
allfieldsGer	10.1186/s12967-022-03644-9 doi (DE-627)SPR051047314 (SPR)s12967-022-03644-9-e DE-627 ger DE-627 rakwb eng Schmitz, T. verfasserin (orcid)0000-0002-3619-0438 aut Inflammatory plasma proteins predict short-term mortality in patients with an acute myocardial infarction 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022. corrected publication 2023 Background The aim of this study was to investigate the association between inflammatory markers and 28-day mortality in patients with ST-elevation myocardial infarction (STEMI). Methods In 398 STEMI patients recorded between 2009 and 2013 by the population-based Myocardial Infarction Registry Augsburg, 92 protein biomarkers were measured in admission arterial blood samples using the OLINK inflammatory panel. In multivariable-adjusted logistic regression models, the association between each marker and 28-day mortality was investigated. The values of the biomarkers most significantly associated with mortality were standardized and summarized to obtain a prediction score for 28-day mortality. The predictive ability of this biomarker score was compared to the established GRACE score using ROC analysis. Finally, a combined total score was generated by adding the standardized biomarker score to the standardized GRACE score. Results The markers IL-6, IL-8, IL-10, FGF-21, FGF-23, ST1A1, MCP-1, 4E-BP1, and CST5 were most significantly associated with 28-day mortality, each with FDR-adjusted (false discovery rate adjusted) p-values of < 0.01 in the multivariable logistic regression model. In a ROC analysis, the biomarker score and the GRACE score showed comparable predictive ability for 28-day mortality (biomarker score AUC: 0.7859 [CI: 0.6735–0.89], GRACE score AUC: 0.7961 [CI: 0.6965–0.8802]). By combining the biomarker score and the Grace score, the predictive ability improved with an AUC of 0.8305 [CI: 0.7269–0.9187]. A continuous Net Reclassification Improvement (cNRI) of 0.566 (CI: 0.192–0.94, p-value: 0.003) and an Integrated Discrimination Improvement (IDI) of 0.083 ((CI: 0.016–0.149, p-value: 0.015) confirmed the superiority of the combined score over the GARCE score. Conclusions Inflammatory biomarkers may play a significant role in the pathophysiology of acute myocardial infarction (AMI) and AMI-related mortality and might be a promising starting point for personalized medicine, which aims to provide each patient with tailored therapy. Inflammatory marker (dpeaa)DE-He213 Myocardial infarction (dpeaa)DE-He213 28-day mortality (dpeaa)DE-He213 Harmel, E. aut Heier, M. aut Peters, A. aut Linseisen, J. aut Meisinger, C. aut Enthalten in Journal of translational medicine London : BioMed Central, 2003 20(2022), 1 vom: 08. Okt. (DE-627)369084136 (DE-600)2118570-0 1479-5876 nnns volume:20 year:2022 number:1 day:08 month:10 https://dx.doi.org/10.1186/s12967-022-03644-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2022 1 08 10
allfieldsSound	10.1186/s12967-022-03644-9 doi (DE-627)SPR051047314 (SPR)s12967-022-03644-9-e DE-627 ger DE-627 rakwb eng Schmitz, T. verfasserin (orcid)0000-0002-3619-0438 aut Inflammatory plasma proteins predict short-term mortality in patients with an acute myocardial infarction 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022. corrected publication 2023 Background The aim of this study was to investigate the association between inflammatory markers and 28-day mortality in patients with ST-elevation myocardial infarction (STEMI). Methods In 398 STEMI patients recorded between 2009 and 2013 by the population-based Myocardial Infarction Registry Augsburg, 92 protein biomarkers were measured in admission arterial blood samples using the OLINK inflammatory panel. In multivariable-adjusted logistic regression models, the association between each marker and 28-day mortality was investigated. The values of the biomarkers most significantly associated with mortality were standardized and summarized to obtain a prediction score for 28-day mortality. The predictive ability of this biomarker score was compared to the established GRACE score using ROC analysis. Finally, a combined total score was generated by adding the standardized biomarker score to the standardized GRACE score. Results The markers IL-6, IL-8, IL-10, FGF-21, FGF-23, ST1A1, MCP-1, 4E-BP1, and CST5 were most significantly associated with 28-day mortality, each with FDR-adjusted (false discovery rate adjusted) p-values of < 0.01 in the multivariable logistic regression model. In a ROC analysis, the biomarker score and the GRACE score showed comparable predictive ability for 28-day mortality (biomarker score AUC: 0.7859 [CI: 0.6735–0.89], GRACE score AUC: 0.7961 [CI: 0.6965–0.8802]). By combining the biomarker score and the Grace score, the predictive ability improved with an AUC of 0.8305 [CI: 0.7269–0.9187]. A continuous Net Reclassification Improvement (cNRI) of 0.566 (CI: 0.192–0.94, p-value: 0.003) and an Integrated Discrimination Improvement (IDI) of 0.083 ((CI: 0.016–0.149, p-value: 0.015) confirmed the superiority of the combined score over the GARCE score. Conclusions Inflammatory biomarkers may play a significant role in the pathophysiology of acute myocardial infarction (AMI) and AMI-related mortality and might be a promising starting point for personalized medicine, which aims to provide each patient with tailored therapy. Inflammatory marker (dpeaa)DE-He213 Myocardial infarction (dpeaa)DE-He213 28-day mortality (dpeaa)DE-He213 Harmel, E. aut Heier, M. aut Peters, A. aut Linseisen, J. aut Meisinger, C. aut Enthalten in Journal of translational medicine London : BioMed Central, 2003 20(2022), 1 vom: 08. Okt. (DE-627)369084136 (DE-600)2118570-0 1479-5876 nnns volume:20 year:2022 number:1 day:08 month:10 https://dx.doi.org/10.1186/s12967-022-03644-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2022 1 08 10
language	English
source	Enthalten in Journal of translational medicine 20(2022), 1 vom: 08. Okt. volume:20 year:2022 number:1 day:08 month:10
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authorswithroles_txt_mv	Schmitz, T. @@aut@@ Harmel, E. @@aut@@ Heier, M. @@aut@@ Peters, A. @@aut@@ Linseisen, J. @@aut@@ Meisinger, C. @@aut@@
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Results The markers IL-6, IL-8, IL-10, FGF-21, FGF-23, ST1A1, MCP-1, 4E-BP1, and CST5 were most significantly associated with 28-day mortality, each with FDR-adjusted (false discovery rate adjusted) p-values of < 0.01 in the multivariable logistic regression model. In a ROC analysis, the biomarker score and the GRACE score showed comparable predictive ability for 28-day mortality (biomarker score AUC: 0.7859 [CI: 0.6735–0.89], GRACE score AUC: 0.7961 [CI: 0.6965–0.8802]). By combining the biomarker score and the Grace score, the predictive ability improved with an AUC of 0.8305 [CI: 0.7269–0.9187]. A continuous Net Reclassification Improvement (cNRI) of 0.566 (CI: 0.192–0.94, p-value: 0.003) and an Integrated Discrimination Improvement (IDI) of 0.083 ((CI: 0.016–0.149, p-value: 0.015) confirmed the superiority of the combined score over the GARCE score. 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spellingShingle	Schmitz, T. misc Inflammatory marker misc Myocardial infarction misc 28-day mortality Inflammatory plasma proteins predict short-term mortality in patients with an acute myocardial infarction
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topic_title	Inflammatory plasma proteins predict short-term mortality in patients with an acute myocardial infarction Inflammatory marker (dpeaa)DE-He213 Myocardial infarction (dpeaa)DE-He213 28-day mortality (dpeaa)DE-He213
topic	misc Inflammatory marker misc Myocardial infarction misc 28-day mortality
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title	Inflammatory plasma proteins predict short-term mortality in patients with an acute myocardial infarction
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title_full	Inflammatory plasma proteins predict short-term mortality in patients with an acute myocardial infarction
author_sort	Schmitz, T.
journal	Journal of translational medicine
journalStr	Journal of translational medicine
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author_browse	Schmitz, T. Harmel, E. Heier, M. Peters, A. Linseisen, J. Meisinger, C.
container_volume	20
format_se	Elektronische Aufsätze
author-letter	Schmitz, T.
doi_str_mv	10.1186/s12967-022-03644-9
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title_sort	inflammatory plasma proteins predict short-term mortality in patients with an acute myocardial infarction
title_auth	Inflammatory plasma proteins predict short-term mortality in patients with an acute myocardial infarction
abstract	Background The aim of this study was to investigate the association between inflammatory markers and 28-day mortality in patients with ST-elevation myocardial infarction (STEMI). Methods In 398 STEMI patients recorded between 2009 and 2013 by the population-based Myocardial Infarction Registry Augsburg, 92 protein biomarkers were measured in admission arterial blood samples using the OLINK inflammatory panel. In multivariable-adjusted logistic regression models, the association between each marker and 28-day mortality was investigated. The values of the biomarkers most significantly associated with mortality were standardized and summarized to obtain a prediction score for 28-day mortality. The predictive ability of this biomarker score was compared to the established GRACE score using ROC analysis. Finally, a combined total score was generated by adding the standardized biomarker score to the standardized GRACE score. Results The markers IL-6, IL-8, IL-10, FGF-21, FGF-23, ST1A1, MCP-1, 4E-BP1, and CST5 were most significantly associated with 28-day mortality, each with FDR-adjusted (false discovery rate adjusted) p-values of < 0.01 in the multivariable logistic regression model. In a ROC analysis, the biomarker score and the GRACE score showed comparable predictive ability for 28-day mortality (biomarker score AUC: 0.7859 [CI: 0.6735–0.89], GRACE score AUC: 0.7961 [CI: 0.6965–0.8802]). By combining the biomarker score and the Grace score, the predictive ability improved with an AUC of 0.8305 [CI: 0.7269–0.9187]. A continuous Net Reclassification Improvement (cNRI) of 0.566 (CI: 0.192–0.94, p-value: 0.003) and an Integrated Discrimination Improvement (IDI) of 0.083 ((CI: 0.016–0.149, p-value: 0.015) confirmed the superiority of the combined score over the GARCE score. Conclusions Inflammatory biomarkers may play a significant role in the pathophysiology of acute myocardial infarction (AMI) and AMI-related mortality and might be a promising starting point for personalized medicine, which aims to provide each patient with tailored therapy. © The Author(s) 2022. corrected publication 2023
abstractGer	Background The aim of this study was to investigate the association between inflammatory markers and 28-day mortality in patients with ST-elevation myocardial infarction (STEMI). Methods In 398 STEMI patients recorded between 2009 and 2013 by the population-based Myocardial Infarction Registry Augsburg, 92 protein biomarkers were measured in admission arterial blood samples using the OLINK inflammatory panel. In multivariable-adjusted logistic regression models, the association between each marker and 28-day mortality was investigated. The values of the biomarkers most significantly associated with mortality were standardized and summarized to obtain a prediction score for 28-day mortality. The predictive ability of this biomarker score was compared to the established GRACE score using ROC analysis. Finally, a combined total score was generated by adding the standardized biomarker score to the standardized GRACE score. Results The markers IL-6, IL-8, IL-10, FGF-21, FGF-23, ST1A1, MCP-1, 4E-BP1, and CST5 were most significantly associated with 28-day mortality, each with FDR-adjusted (false discovery rate adjusted) p-values of < 0.01 in the multivariable logistic regression model. In a ROC analysis, the biomarker score and the GRACE score showed comparable predictive ability for 28-day mortality (biomarker score AUC: 0.7859 [CI: 0.6735–0.89], GRACE score AUC: 0.7961 [CI: 0.6965–0.8802]). By combining the biomarker score and the Grace score, the predictive ability improved with an AUC of 0.8305 [CI: 0.7269–0.9187]. A continuous Net Reclassification Improvement (cNRI) of 0.566 (CI: 0.192–0.94, p-value: 0.003) and an Integrated Discrimination Improvement (IDI) of 0.083 ((CI: 0.016–0.149, p-value: 0.015) confirmed the superiority of the combined score over the GARCE score. Conclusions Inflammatory biomarkers may play a significant role in the pathophysiology of acute myocardial infarction (AMI) and AMI-related mortality and might be a promising starting point for personalized medicine, which aims to provide each patient with tailored therapy. © The Author(s) 2022. corrected publication 2023
abstract_unstemmed	Background The aim of this study was to investigate the association between inflammatory markers and 28-day mortality in patients with ST-elevation myocardial infarction (STEMI). Methods In 398 STEMI patients recorded between 2009 and 2013 by the population-based Myocardial Infarction Registry Augsburg, 92 protein biomarkers were measured in admission arterial blood samples using the OLINK inflammatory panel. In multivariable-adjusted logistic regression models, the association between each marker and 28-day mortality was investigated. The values of the biomarkers most significantly associated with mortality were standardized and summarized to obtain a prediction score for 28-day mortality. The predictive ability of this biomarker score was compared to the established GRACE score using ROC analysis. Finally, a combined total score was generated by adding the standardized biomarker score to the standardized GRACE score. Results The markers IL-6, IL-8, IL-10, FGF-21, FGF-23, ST1A1, MCP-1, 4E-BP1, and CST5 were most significantly associated with 28-day mortality, each with FDR-adjusted (false discovery rate adjusted) p-values of < 0.01 in the multivariable logistic regression model. In a ROC analysis, the biomarker score and the GRACE score showed comparable predictive ability for 28-day mortality (biomarker score AUC: 0.7859 [CI: 0.6735–0.89], GRACE score AUC: 0.7961 [CI: 0.6965–0.8802]). By combining the biomarker score and the Grace score, the predictive ability improved with an AUC of 0.8305 [CI: 0.7269–0.9187]. A continuous Net Reclassification Improvement (cNRI) of 0.566 (CI: 0.192–0.94, p-value: 0.003) and an Integrated Discrimination Improvement (IDI) of 0.083 ((CI: 0.016–0.149, p-value: 0.015) confirmed the superiority of the combined score over the GARCE score. Conclusions Inflammatory biomarkers may play a significant role in the pathophysiology of acute myocardial infarction (AMI) and AMI-related mortality and might be a promising starting point for personalized medicine, which aims to provide each patient with tailored therapy. © The Author(s) 2022. corrected publication 2023
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title_short	Inflammatory plasma proteins predict short-term mortality in patients with an acute myocardial infarction
url	https://dx.doi.org/10.1186/s12967-022-03644-9
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author2	Harmel, E. Heier, M. Peters, A. Linseisen, J. Meisinger, C.
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up_date	2024-07-03T19:27:14.395Z
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