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Serum biomarkers to predict hemorrhagic transformation and ischemic stroke outcomes in a prospective cohort study

Ischemic stroke (IS) remains one of the most frequent causes of death and disability worldwide. Identifying possible prognosis factors for IS outcomes, including hemorrhagic transformation (HT), could improve patients' recovery. This study aimed to investigate the potential prognosis role of no...

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Autores principales: Costru-Tasnic, Elena, Gavriliuc, Mihail, Manole, Elena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Carol Davila University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478654/
https://www.ncbi.nlm.nih.gov/pubmed/37675160
http://dx.doi.org/10.25122/jml-2023-0148
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author Costru-Tasnic, Elena
Gavriliuc, Mihail
Manole, Elena
author_facet Costru-Tasnic, Elena
Gavriliuc, Mihail
Manole, Elena
author_sort Costru-Tasnic, Elena
collection PubMed
description Ischemic stroke (IS) remains one of the most frequent causes of death and disability worldwide. Identifying possible prognosis factors for IS outcomes, including hemorrhagic transformation (HT), could improve patients' recovery. This study aimed to investigate the potential prognosis role of non-specific laboratory data at admission and baseline MMP-2 and MMP-9 serum levels in predicting HT risk, discharge, and 3-month follow-up status of IS patients. Data from 150 successive acute cerebral infarction patients were analyzed in a prospective cohort study. The active group included patients who developed HT during hospitalization (55 persons). There were no significant differences in age, gender distribution, time to admission, or time to blood sample collection for MMPs measurement between patients in the active and control groups. IS patients from the active group had a significantly higher rate of AF (atrial fibrillation) in the past (p=0.003), while differences in other factors such as diabetes, hypertension, myocardial infarction, previous stroke, obesity, smoking, and alcohol were not significant. Admission NIHSS score and mRS (modified Rankin Scale) values (at discharge and 90 days) were significantly worse in the active group (p<0.001). Among the analyzed admission laboratory factors (glycemia, lipid profile, coagulation panel, inflammatory reaction parameters, MMP-2, MMP-9), INR presented an inverse correlation, with lower values in the HT cohort (univariate analysis – p=0.01, OR=0.11; multivariate analysis - p=0.03, OR=0.09). Further research on larger cohorts is warranted to determine the specific laboratory biomarkers for predicting hemorrhagic transformation and ischemic stroke outcomes.
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spelling pubmed-104786542023-09-06 Serum biomarkers to predict hemorrhagic transformation and ischemic stroke outcomes in a prospective cohort study Costru-Tasnic, Elena Gavriliuc, Mihail Manole, Elena J Med Life Original Article Ischemic stroke (IS) remains one of the most frequent causes of death and disability worldwide. Identifying possible prognosis factors for IS outcomes, including hemorrhagic transformation (HT), could improve patients' recovery. This study aimed to investigate the potential prognosis role of non-specific laboratory data at admission and baseline MMP-2 and MMP-9 serum levels in predicting HT risk, discharge, and 3-month follow-up status of IS patients. Data from 150 successive acute cerebral infarction patients were analyzed in a prospective cohort study. The active group included patients who developed HT during hospitalization (55 persons). There were no significant differences in age, gender distribution, time to admission, or time to blood sample collection for MMPs measurement between patients in the active and control groups. IS patients from the active group had a significantly higher rate of AF (atrial fibrillation) in the past (p=0.003), while differences in other factors such as diabetes, hypertension, myocardial infarction, previous stroke, obesity, smoking, and alcohol were not significant. Admission NIHSS score and mRS (modified Rankin Scale) values (at discharge and 90 days) were significantly worse in the active group (p<0.001). Among the analyzed admission laboratory factors (glycemia, lipid profile, coagulation panel, inflammatory reaction parameters, MMP-2, MMP-9), INR presented an inverse correlation, with lower values in the HT cohort (univariate analysis – p=0.01, OR=0.11; multivariate analysis - p=0.03, OR=0.09). Further research on larger cohorts is warranted to determine the specific laboratory biomarkers for predicting hemorrhagic transformation and ischemic stroke outcomes. Carol Davila University Press 2023-06 /pmc/articles/PMC10478654/ /pubmed/37675160 http://dx.doi.org/10.25122/jml-2023-0148 Text en ©2023 JOURNAL of MEDICINE and LIFE https://creativecommons.org/licenses/by/3.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/ (https://creativecommons.org/licenses/by/3.0/) ), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Original Article
Costru-Tasnic, Elena
Gavriliuc, Mihail
Manole, Elena
Serum biomarkers to predict hemorrhagic transformation and ischemic stroke outcomes in a prospective cohort study
title Serum biomarkers to predict hemorrhagic transformation and ischemic stroke outcomes in a prospective cohort study
title_full Serum biomarkers to predict hemorrhagic transformation and ischemic stroke outcomes in a prospective cohort study
title_fullStr Serum biomarkers to predict hemorrhagic transformation and ischemic stroke outcomes in a prospective cohort study
title_full_unstemmed Serum biomarkers to predict hemorrhagic transformation and ischemic stroke outcomes in a prospective cohort study
title_short Serum biomarkers to predict hemorrhagic transformation and ischemic stroke outcomes in a prospective cohort study
title_sort serum biomarkers to predict hemorrhagic transformation and ischemic stroke outcomes in a prospective cohort study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478654/
https://www.ncbi.nlm.nih.gov/pubmed/37675160
http://dx.doi.org/10.25122/jml-2023-0148
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