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Addition of routine blood biomarkers to TIMI risk score improves predictive performance of 1-year mortality in patients with ST-segment elevation myocardial infarction

BACKGROUND: Several biomarkers have been proposed as independent predictors of poor outcomes in ST-segment elevation myocardial infarction (STEMI). We investigated whether adding information obtained from routine blood tests including hypoxic liver injury (HLI), dysglycemia, anemia, and high neutrop...

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Autores principales: Oh, Pyung Chun, Eom, Young Sil, Moon, Jeonggeun, Jang, Ho-Jun, Kim, Tae-Hoon, Suh, Jon, Kong, Min Gyu, Park, Sang-Don, Kwon, Sung Woo, Suh, Soon Yong, Lee, Kyounghoon, Han, Seung Hwan, Ahn, Taehoon, Kang, Woong Chol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672980/
https://www.ncbi.nlm.nih.gov/pubmed/33208092
http://dx.doi.org/10.1186/s12872-020-01777-7
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author Oh, Pyung Chun
Eom, Young Sil
Moon, Jeonggeun
Jang, Ho-Jun
Kim, Tae-Hoon
Suh, Jon
Kong, Min Gyu
Park, Sang-Don
Kwon, Sung Woo
Suh, Soon Yong
Lee, Kyounghoon
Han, Seung Hwan
Ahn, Taehoon
Kang, Woong Chol
author_facet Oh, Pyung Chun
Eom, Young Sil
Moon, Jeonggeun
Jang, Ho-Jun
Kim, Tae-Hoon
Suh, Jon
Kong, Min Gyu
Park, Sang-Don
Kwon, Sung Woo
Suh, Soon Yong
Lee, Kyounghoon
Han, Seung Hwan
Ahn, Taehoon
Kang, Woong Chol
author_sort Oh, Pyung Chun
collection PubMed
description BACKGROUND: Several biomarkers have been proposed as independent predictors of poor outcomes in ST-segment elevation myocardial infarction (STEMI). We investigated whether adding information obtained from routine blood tests including hypoxic liver injury (HLI), dysglycemia, anemia, and high neutrophil to lymphocyte ratio (NLR) could improve the prognostic performance of the TIMI risk score for the prediction of 1-year mortality. METHODS: A total of 1057 patients with STEMI undergoing primary percutaneous coronary intervention (PCI) between 2007 and 2014 were retrospectively enrolled from 4-regional hospitals. HLI and dysglycemia were defined as serum transaminase > twice the normal upper limit and glucose < 90 or > 250 mg/dL, respectively. The effect of adding biomarkers to the TIMI risk score on its discriminative ability was assessed using c-statistic, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). RESULTS: The 1-year mortality rate was 7.1%. The best cutoff value of NLR for the prediction of 1-year mortality was 4.3 (sensitivity, 67%; specificity, 65%). HLI (HR 2.019; 95% CI 1.104–3.695), dysglycemia (HR 2.535; 95% CI 1.324–3.923), anemia (HR 2.071; 95% CI 1.093–3.923), and high NLR (HR 3.651; 95% CI 1.927–6.918) were independent predictors of 1-year mortality. When these 4 parameters were added to the TIMI risk score, the c-statistic significantly improved from 0.841 to 0.876 (p < 0.001), and the NRI and IDI were estimated at 0.203 (95% CI 0.130–0.275; p < 0.001) and 0.089 (95% CI 0.060–0.119; p < 0.001), respectively. CONCLUSIONS: The addition of HLI, dysglycemia, anemia, and high NLR to the TIMI risk score may be useful for very early risk stratification in patients with STEMI receiving primary PCI.
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spelling pubmed-76729802020-11-20 Addition of routine blood biomarkers to TIMI risk score improves predictive performance of 1-year mortality in patients with ST-segment elevation myocardial infarction Oh, Pyung Chun Eom, Young Sil Moon, Jeonggeun Jang, Ho-Jun Kim, Tae-Hoon Suh, Jon Kong, Min Gyu Park, Sang-Don Kwon, Sung Woo Suh, Soon Yong Lee, Kyounghoon Han, Seung Hwan Ahn, Taehoon Kang, Woong Chol BMC Cardiovasc Disord Research Article BACKGROUND: Several biomarkers have been proposed as independent predictors of poor outcomes in ST-segment elevation myocardial infarction (STEMI). We investigated whether adding information obtained from routine blood tests including hypoxic liver injury (HLI), dysglycemia, anemia, and high neutrophil to lymphocyte ratio (NLR) could improve the prognostic performance of the TIMI risk score for the prediction of 1-year mortality. METHODS: A total of 1057 patients with STEMI undergoing primary percutaneous coronary intervention (PCI) between 2007 and 2014 were retrospectively enrolled from 4-regional hospitals. HLI and dysglycemia were defined as serum transaminase > twice the normal upper limit and glucose < 90 or > 250 mg/dL, respectively. The effect of adding biomarkers to the TIMI risk score on its discriminative ability was assessed using c-statistic, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). RESULTS: The 1-year mortality rate was 7.1%. The best cutoff value of NLR for the prediction of 1-year mortality was 4.3 (sensitivity, 67%; specificity, 65%). HLI (HR 2.019; 95% CI 1.104–3.695), dysglycemia (HR 2.535; 95% CI 1.324–3.923), anemia (HR 2.071; 95% CI 1.093–3.923), and high NLR (HR 3.651; 95% CI 1.927–6.918) were independent predictors of 1-year mortality. When these 4 parameters were added to the TIMI risk score, the c-statistic significantly improved from 0.841 to 0.876 (p < 0.001), and the NRI and IDI were estimated at 0.203 (95% CI 0.130–0.275; p < 0.001) and 0.089 (95% CI 0.060–0.119; p < 0.001), respectively. CONCLUSIONS: The addition of HLI, dysglycemia, anemia, and high NLR to the TIMI risk score may be useful for very early risk stratification in patients with STEMI receiving primary PCI. BioMed Central 2020-11-18 /pmc/articles/PMC7672980/ /pubmed/33208092 http://dx.doi.org/10.1186/s12872-020-01777-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Oh, Pyung Chun
Eom, Young Sil
Moon, Jeonggeun
Jang, Ho-Jun
Kim, Tae-Hoon
Suh, Jon
Kong, Min Gyu
Park, Sang-Don
Kwon, Sung Woo
Suh, Soon Yong
Lee, Kyounghoon
Han, Seung Hwan
Ahn, Taehoon
Kang, Woong Chol
Addition of routine blood biomarkers to TIMI risk score improves predictive performance of 1-year mortality in patients with ST-segment elevation myocardial infarction
title Addition of routine blood biomarkers to TIMI risk score improves predictive performance of 1-year mortality in patients with ST-segment elevation myocardial infarction
title_full Addition of routine blood biomarkers to TIMI risk score improves predictive performance of 1-year mortality in patients with ST-segment elevation myocardial infarction
title_fullStr Addition of routine blood biomarkers to TIMI risk score improves predictive performance of 1-year mortality in patients with ST-segment elevation myocardial infarction
title_full_unstemmed Addition of routine blood biomarkers to TIMI risk score improves predictive performance of 1-year mortality in patients with ST-segment elevation myocardial infarction
title_short Addition of routine blood biomarkers to TIMI risk score improves predictive performance of 1-year mortality in patients with ST-segment elevation myocardial infarction
title_sort addition of routine blood biomarkers to timi risk score improves predictive performance of 1-year mortality in patients with st-segment elevation myocardial infarction
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7672980/
https://www.ncbi.nlm.nih.gov/pubmed/33208092
http://dx.doi.org/10.1186/s12872-020-01777-7
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