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High-Sensitivity Troponin T: A Potential Safety Predictive Biomarker for Discharge from the Emergency Department of Patients with Confirmed Influenza

The purpose of the study was to analyze the relationship between the high-sensitivity troponin T levels in patients with confirmed influenza virus infection and its severity determined by mortality during the care process. In addition, a high-sensitivity troponin T cut-off value was sought to allow...

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Autores principales: Tazón-Varela, Manuel Antonio, Ortiz de Salido-Menchaca, Jon, Muñoz-Cacho, Pedro, Iriondo-Bernabeu, Enara, Martos-Almagro, María Josefa, Lavín-López, Emma, Vega-Zubiaur, Ander, Escalona-Canal, Edgar José, Alcalde-Díez, Iratxe, Gómez-Vildosola, Carmen, Belzunegui-Gárate, Ainhoa, Espinoza-Cuba, Fabiola, López-Cejuela, José Antonio, García-García, Alba, Torrejón-Cereceda, Alejandro, Nisa-Martínez, Elena Sabina, Moreira Nieto, Diana, Hellín-Mercadal, Cintia, García-Caballero, Ander, Alonso-Valle, Héctor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031799/
https://www.ncbi.nlm.nih.gov/pubmed/35455636
http://dx.doi.org/10.3390/jpm12040520
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author Tazón-Varela, Manuel Antonio
Ortiz de Salido-Menchaca, Jon
Muñoz-Cacho, Pedro
Iriondo-Bernabeu, Enara
Martos-Almagro, María Josefa
Lavín-López, Emma
Vega-Zubiaur, Ander
Escalona-Canal, Edgar José
Alcalde-Díez, Iratxe
Gómez-Vildosola, Carmen
Belzunegui-Gárate, Ainhoa
Espinoza-Cuba, Fabiola
López-Cejuela, José Antonio
García-García, Alba
Torrejón-Cereceda, Alejandro
Nisa-Martínez, Elena Sabina
Moreira Nieto, Diana
Hellín-Mercadal, Cintia
García-Caballero, Ander
Alonso-Valle, Héctor
author_facet Tazón-Varela, Manuel Antonio
Ortiz de Salido-Menchaca, Jon
Muñoz-Cacho, Pedro
Iriondo-Bernabeu, Enara
Martos-Almagro, María Josefa
Lavín-López, Emma
Vega-Zubiaur, Ander
Escalona-Canal, Edgar José
Alcalde-Díez, Iratxe
Gómez-Vildosola, Carmen
Belzunegui-Gárate, Ainhoa
Espinoza-Cuba, Fabiola
López-Cejuela, José Antonio
García-García, Alba
Torrejón-Cereceda, Alejandro
Nisa-Martínez, Elena Sabina
Moreira Nieto, Diana
Hellín-Mercadal, Cintia
García-Caballero, Ander
Alonso-Valle, Héctor
author_sort Tazón-Varela, Manuel Antonio
collection PubMed
description The purpose of the study was to analyze the relationship between the high-sensitivity troponin T levels in patients with confirmed influenza virus infection and its severity determined by mortality during the care process. In addition, a high-sensitivity troponin T cut-off value was sought to allow us to a safe discharge from the emergency department. An analytical retrospective observational study was designed in which high-sensitivity troponin T is determined as an exposure factor, patients are followed until the resolution of the clinical picture, and the frequency of mortality is analyzed. We included patients ≥ 16 years old with confirmed influenza virus infection and determination of high-sensitivity troponin T. One hundred twenty-eight patients were included (96.9% survivors, 3.1% deceased). Mean and median blood levels of high-sensitivity troponin T of survivors were 26.2 ± 58.3 ng/L and 14.5 ng/L (IQR 16 ng/L), respectively, and were statistically different when compared with those of the deceased patients, 120.5 ± 170.1 ng/L and 40.5 ng/L (IQR 266.5 ng/L), respectively, p = 0.012. The Youden index using mortality as the reference method was 0.76, and the cut-off value associated with this index was 24 ng/L (sensitivity 100%, specificity 76%, NPV 100%, PPV 4%) with AUC of 88,8% (95% CI: 79.8–92.2%), p < 0.001. We conclude that high-sensitivity troponin T levels in confirmed virus influenza infection are a good predictor of mortality in our population, and this predictor is useful for safely discharging patients from the emergency department.
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spelling pubmed-90317992022-04-23 High-Sensitivity Troponin T: A Potential Safety Predictive Biomarker for Discharge from the Emergency Department of Patients with Confirmed Influenza Tazón-Varela, Manuel Antonio Ortiz de Salido-Menchaca, Jon Muñoz-Cacho, Pedro Iriondo-Bernabeu, Enara Martos-Almagro, María Josefa Lavín-López, Emma Vega-Zubiaur, Ander Escalona-Canal, Edgar José Alcalde-Díez, Iratxe Gómez-Vildosola, Carmen Belzunegui-Gárate, Ainhoa Espinoza-Cuba, Fabiola López-Cejuela, José Antonio García-García, Alba Torrejón-Cereceda, Alejandro Nisa-Martínez, Elena Sabina Moreira Nieto, Diana Hellín-Mercadal, Cintia García-Caballero, Ander Alonso-Valle, Héctor J Pers Med Article The purpose of the study was to analyze the relationship between the high-sensitivity troponin T levels in patients with confirmed influenza virus infection and its severity determined by mortality during the care process. In addition, a high-sensitivity troponin T cut-off value was sought to allow us to a safe discharge from the emergency department. An analytical retrospective observational study was designed in which high-sensitivity troponin T is determined as an exposure factor, patients are followed until the resolution of the clinical picture, and the frequency of mortality is analyzed. We included patients ≥ 16 years old with confirmed influenza virus infection and determination of high-sensitivity troponin T. One hundred twenty-eight patients were included (96.9% survivors, 3.1% deceased). Mean and median blood levels of high-sensitivity troponin T of survivors were 26.2 ± 58.3 ng/L and 14.5 ng/L (IQR 16 ng/L), respectively, and were statistically different when compared with those of the deceased patients, 120.5 ± 170.1 ng/L and 40.5 ng/L (IQR 266.5 ng/L), respectively, p = 0.012. The Youden index using mortality as the reference method was 0.76, and the cut-off value associated with this index was 24 ng/L (sensitivity 100%, specificity 76%, NPV 100%, PPV 4%) with AUC of 88,8% (95% CI: 79.8–92.2%), p < 0.001. We conclude that high-sensitivity troponin T levels in confirmed virus influenza infection are a good predictor of mortality in our population, and this predictor is useful for safely discharging patients from the emergency department. MDPI 2022-03-23 /pmc/articles/PMC9031799/ /pubmed/35455636 http://dx.doi.org/10.3390/jpm12040520 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tazón-Varela, Manuel Antonio
Ortiz de Salido-Menchaca, Jon
Muñoz-Cacho, Pedro
Iriondo-Bernabeu, Enara
Martos-Almagro, María Josefa
Lavín-López, Emma
Vega-Zubiaur, Ander
Escalona-Canal, Edgar José
Alcalde-Díez, Iratxe
Gómez-Vildosola, Carmen
Belzunegui-Gárate, Ainhoa
Espinoza-Cuba, Fabiola
López-Cejuela, José Antonio
García-García, Alba
Torrejón-Cereceda, Alejandro
Nisa-Martínez, Elena Sabina
Moreira Nieto, Diana
Hellín-Mercadal, Cintia
García-Caballero, Ander
Alonso-Valle, Héctor
High-Sensitivity Troponin T: A Potential Safety Predictive Biomarker for Discharge from the Emergency Department of Patients with Confirmed Influenza
title High-Sensitivity Troponin T: A Potential Safety Predictive Biomarker for Discharge from the Emergency Department of Patients with Confirmed Influenza
title_full High-Sensitivity Troponin T: A Potential Safety Predictive Biomarker for Discharge from the Emergency Department of Patients with Confirmed Influenza
title_fullStr High-Sensitivity Troponin T: A Potential Safety Predictive Biomarker for Discharge from the Emergency Department of Patients with Confirmed Influenza
title_full_unstemmed High-Sensitivity Troponin T: A Potential Safety Predictive Biomarker for Discharge from the Emergency Department of Patients with Confirmed Influenza
title_short High-Sensitivity Troponin T: A Potential Safety Predictive Biomarker for Discharge from the Emergency Department of Patients with Confirmed Influenza
title_sort high-sensitivity troponin t: a potential safety predictive biomarker for discharge from the emergency department of patients with confirmed influenza
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031799/
https://www.ncbi.nlm.nih.gov/pubmed/35455636
http://dx.doi.org/10.3390/jpm12040520
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