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Hematological Parameter as Predictor Mortality in Acute Myocardial Infarction Patients

PURPOSE: Acute myocardial infarction (AMI) is one of the leading causes of death in the world. Several hematological parameters are involved in AMI conditions and can be explored for their ability to predict in-hospital mortality. We evaluated hematological parameter value as predictors of in-hospit...

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Autores principales: Firani, Novi Khila, Hartanti, Khoirunisah Dwi, Purnamasari, Putri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9419809/
https://www.ncbi.nlm.nih.gov/pubmed/36039309
http://dx.doi.org/10.2147/IJGM.S380659
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author Firani, Novi Khila
Hartanti, Khoirunisah Dwi
Purnamasari, Putri
author_facet Firani, Novi Khila
Hartanti, Khoirunisah Dwi
Purnamasari, Putri
author_sort Firani, Novi Khila
collection PubMed
description PURPOSE: Acute myocardial infarction (AMI) is one of the leading causes of death in the world. Several hematological parameters are involved in AMI conditions and can be explored for their ability to predict in-hospital mortality. We evaluated hematological parameter value as predictors of in-hospital mortality in AMI patients. PATIENTS AND METHODS: Analytical observational study on AMI patients that admitted to Dr. Saiful Anwar Hospital, June–August 2021. Complete blood count was taken at the beginning of hospital admission. Patients with sepsis were excluded from the study. The research subjects were divided into two groups, survivor group and non-survivor group (in-hospital mortality). Hematological parameters as predictors of mortality were analyzed using the ROC curve and odds ratio. RESULTS: Among 44 study subjects, 19 (43.18%) patients were in the non-survivor group and 25 (56.82%) patients were in the survivor group. Hematological parameters that can be predictors of mortality include leukocytes (AUC = 0.744; p = 0.006), neutrophils (AUC = 0.729; p = 0.010), eosinophils (AUC = 0.696; p = 0.028), and eosinophils/leukocytes ratio (AUC = 0.772; p = 0.012). The cut-off value for leukocytes was 13,725/μL (OR: 9), neutrophils was 12,008/μL (OR: 8.14), eosinophils was 58.3/μL (OR: 4.06), and eosinophil/leukocyte ratio was 0.0025 (OR: 4.41) with sensitivity 63.25%, 52.6%, 78.9%, and 63.2%, respectively, and specificity 84%, 88%, 52%, and 72%, respectively. CONCLUSION: Leukocyte, neutrophils, eosinophils count and eosinophil/leukocyte ratio can help predict in-hospital mortality of AMI patients.
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spelling pubmed-94198092022-08-28 Hematological Parameter as Predictor Mortality in Acute Myocardial Infarction Patients Firani, Novi Khila Hartanti, Khoirunisah Dwi Purnamasari, Putri Int J Gen Med Original Research PURPOSE: Acute myocardial infarction (AMI) is one of the leading causes of death in the world. Several hematological parameters are involved in AMI conditions and can be explored for their ability to predict in-hospital mortality. We evaluated hematological parameter value as predictors of in-hospital mortality in AMI patients. PATIENTS AND METHODS: Analytical observational study on AMI patients that admitted to Dr. Saiful Anwar Hospital, June–August 2021. Complete blood count was taken at the beginning of hospital admission. Patients with sepsis were excluded from the study. The research subjects were divided into two groups, survivor group and non-survivor group (in-hospital mortality). Hematological parameters as predictors of mortality were analyzed using the ROC curve and odds ratio. RESULTS: Among 44 study subjects, 19 (43.18%) patients were in the non-survivor group and 25 (56.82%) patients were in the survivor group. Hematological parameters that can be predictors of mortality include leukocytes (AUC = 0.744; p = 0.006), neutrophils (AUC = 0.729; p = 0.010), eosinophils (AUC = 0.696; p = 0.028), and eosinophils/leukocytes ratio (AUC = 0.772; p = 0.012). The cut-off value for leukocytes was 13,725/μL (OR: 9), neutrophils was 12,008/μL (OR: 8.14), eosinophils was 58.3/μL (OR: 4.06), and eosinophil/leukocyte ratio was 0.0025 (OR: 4.41) with sensitivity 63.25%, 52.6%, 78.9%, and 63.2%, respectively, and specificity 84%, 88%, 52%, and 72%, respectively. CONCLUSION: Leukocyte, neutrophils, eosinophils count and eosinophil/leukocyte ratio can help predict in-hospital mortality of AMI patients. Dove 2022-08-23 /pmc/articles/PMC9419809/ /pubmed/36039309 http://dx.doi.org/10.2147/IJGM.S380659 Text en © 2022 Firani et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Firani, Novi Khila
Hartanti, Khoirunisah Dwi
Purnamasari, Putri
Hematological Parameter as Predictor Mortality in Acute Myocardial Infarction Patients
title Hematological Parameter as Predictor Mortality in Acute Myocardial Infarction Patients
title_full Hematological Parameter as Predictor Mortality in Acute Myocardial Infarction Patients
title_fullStr Hematological Parameter as Predictor Mortality in Acute Myocardial Infarction Patients
title_full_unstemmed Hematological Parameter as Predictor Mortality in Acute Myocardial Infarction Patients
title_short Hematological Parameter as Predictor Mortality in Acute Myocardial Infarction Patients
title_sort hematological parameter as predictor mortality in acute myocardial infarction patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9419809/
https://www.ncbi.nlm.nih.gov/pubmed/36039309
http://dx.doi.org/10.2147/IJGM.S380659
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