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Combining white blood cell count and thrombosis for predicting in-hospital outcomes after acute myocardial infraction
INTRODUCTION: Admission white blood cell (WBC) count and thrombosis in myocardial infarction (TIMI) risk score have been associated with adverse outcomes after acute myocardial infarction (AMI). This study investigated the joint effect of WBC count and TIMI risk score on predicting in-hospital outco...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3162703/ https://www.ncbi.nlm.nih.gov/pubmed/21887024 http://dx.doi.org/10.4103/0974-2700.83862 |
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author | Rohani, Atooshe Akbari, Vahid Moradian, Karim Malekzade, Janmohammad |
author_facet | Rohani, Atooshe Akbari, Vahid Moradian, Karim Malekzade, Janmohammad |
author_sort | Rohani, Atooshe |
collection | PubMed |
description | INTRODUCTION: Admission white blood cell (WBC) count and thrombosis in myocardial infarction (TIMI) risk score have been associated with adverse outcomes after acute myocardial infarction (AMI). This study investigated the joint effect of WBC count and TIMI risk score on predicting in-hospital outcomes in patients with AMI. MATERIALS AND METHODS: WBC count and TIMI risk score were measured at the time of hospital admission in 70 patients with AMI. Echocardiogram was done on prior to discharge by a cardiologist and ejection fraction (EF) was determined according to the Simpson formula. Patients were stratified into tertiles (low and high) based on WBC count and TIMI risk score. RESULTS: Patients with a high WBC count had a 5.0-fold increase in-hospital congestive heart failure and 2.2 increases in mortality compared with those with a low WBC count. Patients with a high TIMI risk score had a 10-fold increase in congestive heart failure presentation and mortality compared with those with a low TIMI risk score. When a combination of different strata for each variable was analyzed, a stepwise increase in mortality was seen. There were a few number of patients with a high WBC count and low TIMI risk score or with a low WBC count and high TIMI risk score. These patients had an intermediate risk, whereas those with a high WBC count and TIMI risk score had the highest risk. CONCLUSION: These findings suggested that a simple combination of WBC count and TIMI risk score might provide further information for predicting outcomes in patients with AMI. |
format | Online Article Text |
id | pubmed-3162703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Medknow Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-31627032011-09-01 Combining white blood cell count and thrombosis for predicting in-hospital outcomes after acute myocardial infraction Rohani, Atooshe Akbari, Vahid Moradian, Karim Malekzade, Janmohammad J Emerg Trauma Shock Original Article INTRODUCTION: Admission white blood cell (WBC) count and thrombosis in myocardial infarction (TIMI) risk score have been associated with adverse outcomes after acute myocardial infarction (AMI). This study investigated the joint effect of WBC count and TIMI risk score on predicting in-hospital outcomes in patients with AMI. MATERIALS AND METHODS: WBC count and TIMI risk score were measured at the time of hospital admission in 70 patients with AMI. Echocardiogram was done on prior to discharge by a cardiologist and ejection fraction (EF) was determined according to the Simpson formula. Patients were stratified into tertiles (low and high) based on WBC count and TIMI risk score. RESULTS: Patients with a high WBC count had a 5.0-fold increase in-hospital congestive heart failure and 2.2 increases in mortality compared with those with a low WBC count. Patients with a high TIMI risk score had a 10-fold increase in congestive heart failure presentation and mortality compared with those with a low TIMI risk score. When a combination of different strata for each variable was analyzed, a stepwise increase in mortality was seen. There were a few number of patients with a high WBC count and low TIMI risk score or with a low WBC count and high TIMI risk score. These patients had an intermediate risk, whereas those with a high WBC count and TIMI risk score had the highest risk. CONCLUSION: These findings suggested that a simple combination of WBC count and TIMI risk score might provide further information for predicting outcomes in patients with AMI. Medknow Publications 2011 /pmc/articles/PMC3162703/ /pubmed/21887024 http://dx.doi.org/10.4103/0974-2700.83862 Text en Copyright: © Journal of Emergencies, Trauma, and Shock http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Rohani, Atooshe Akbari, Vahid Moradian, Karim Malekzade, Janmohammad Combining white blood cell count and thrombosis for predicting in-hospital outcomes after acute myocardial infraction |
title | Combining white blood cell count and thrombosis for predicting in-hospital outcomes after acute myocardial infraction |
title_full | Combining white blood cell count and thrombosis for predicting in-hospital outcomes after acute myocardial infraction |
title_fullStr | Combining white blood cell count and thrombosis for predicting in-hospital outcomes after acute myocardial infraction |
title_full_unstemmed | Combining white blood cell count and thrombosis for predicting in-hospital outcomes after acute myocardial infraction |
title_short | Combining white blood cell count and thrombosis for predicting in-hospital outcomes after acute myocardial infraction |
title_sort | combining white blood cell count and thrombosis for predicting in-hospital outcomes after acute myocardial infraction |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3162703/ https://www.ncbi.nlm.nih.gov/pubmed/21887024 http://dx.doi.org/10.4103/0974-2700.83862 |
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