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Prognostic associations of ECG tracings in hospitalised patients with COVID-19: a systematic review and meta-analysis protocol
INTRODUCTION: COVID-19 is a global pandemic caused by the SARS-CoV-2 virus. Although most COVID-19 cases are asymptomatic or mild, a significant number of patients experienced adverse outcomes. In addition, studies have shown that cardiac abnormalities are associated with increased mortality in hosp...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362788/ http://dx.doi.org/10.1136/bmjopen-2021-057667 |
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author | Interior, Jasmine S Garcia, Jerremiah G Yu, Gaius Sulpicio G Regencia, Zypher Jude G Baja, Emmanuel S Ligsay, Antonio D Gerodias, Ferdinand R |
author_facet | Interior, Jasmine S Garcia, Jerremiah G Yu, Gaius Sulpicio G Regencia, Zypher Jude G Baja, Emmanuel S Ligsay, Antonio D Gerodias, Ferdinand R |
author_sort | Interior, Jasmine S |
collection | PubMed |
description | INTRODUCTION: COVID-19 is a global pandemic caused by the SARS-CoV-2 virus. Although most COVID-19 cases are asymptomatic or mild, a significant number of patients experienced adverse outcomes. In addition, studies have shown that cardiac abnormalities are associated with increased mortality in hospitalised patients with COVID-19. This finding sets a precedent for the potential use of ECG tracing as an indicator of patient mortality and morbidity. This study aims to determine associations between the 12-lead ECG findings and various clinical outcomes of hospitalised patients with COVID-19, measured as incidence of endotracheal intubation, intensive care unit (ICU) admission and mortality rate. METHODS AND ANALYSIS: An electronic literature search will identify all potentially relevant articles using specific databases and websites. The search will be limited to studies published from December 2019 to May 2021. In addition, studies will include hospitalised patients with COVID-19 with normal and abnormal 12-lead ECG findings assessed for clinical outcomes, including the incidence of endotracheal intubation, ICU admission and mortality rate. The risk of bias in individual studies will be evaluated using the Quality in Prognostic Studies tool or the Cochrane risk of bias tool. A meta-analysis will be conducted if at least two studies indicate a prognostic factor’s effect. Moreover, subgroup and sensitivity analyses will be performed accordingly to address heterogeneity. Reporting the review results will comply with the Preferred Reporting Items for Systematic Review and Meta-Analyses guidelines. The quality of evidence generated will be assessed using the Grades of Recommendation, Assessment, Development and Evaluation system. ETHICS AND DISSEMINATION: This study has been exempted from ethics review. There will be no patient or public involvement in this study. Furthermore, the findings will be disseminated via conferences, seminars, symposia and congresses on top of peer-reviewed journals. PROSPERO REGISTRATION NUMBER: CRD42021257155. |
format | Online Article Text |
id | pubmed-9362788 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-93627882022-08-22 Prognostic associations of ECG tracings in hospitalised patients with COVID-19: a systematic review and meta-analysis protocol Interior, Jasmine S Garcia, Jerremiah G Yu, Gaius Sulpicio G Regencia, Zypher Jude G Baja, Emmanuel S Ligsay, Antonio D Gerodias, Ferdinand R BMJ Open Infectious Diseases INTRODUCTION: COVID-19 is a global pandemic caused by the SARS-CoV-2 virus. Although most COVID-19 cases are asymptomatic or mild, a significant number of patients experienced adverse outcomes. In addition, studies have shown that cardiac abnormalities are associated with increased mortality in hospitalised patients with COVID-19. This finding sets a precedent for the potential use of ECG tracing as an indicator of patient mortality and morbidity. This study aims to determine associations between the 12-lead ECG findings and various clinical outcomes of hospitalised patients with COVID-19, measured as incidence of endotracheal intubation, intensive care unit (ICU) admission and mortality rate. METHODS AND ANALYSIS: An electronic literature search will identify all potentially relevant articles using specific databases and websites. The search will be limited to studies published from December 2019 to May 2021. In addition, studies will include hospitalised patients with COVID-19 with normal and abnormal 12-lead ECG findings assessed for clinical outcomes, including the incidence of endotracheal intubation, ICU admission and mortality rate. The risk of bias in individual studies will be evaluated using the Quality in Prognostic Studies tool or the Cochrane risk of bias tool. A meta-analysis will be conducted if at least two studies indicate a prognostic factor’s effect. Moreover, subgroup and sensitivity analyses will be performed accordingly to address heterogeneity. Reporting the review results will comply with the Preferred Reporting Items for Systematic Review and Meta-Analyses guidelines. The quality of evidence generated will be assessed using the Grades of Recommendation, Assessment, Development and Evaluation system. ETHICS AND DISSEMINATION: This study has been exempted from ethics review. There will be no patient or public involvement in this study. Furthermore, the findings will be disseminated via conferences, seminars, symposia and congresses on top of peer-reviewed journals. PROSPERO REGISTRATION NUMBER: CRD42021257155. BMJ Publishing Group 2022-08-04 /pmc/articles/PMC9362788/ http://dx.doi.org/10.1136/bmjopen-2021-057667 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Infectious Diseases Interior, Jasmine S Garcia, Jerremiah G Yu, Gaius Sulpicio G Regencia, Zypher Jude G Baja, Emmanuel S Ligsay, Antonio D Gerodias, Ferdinand R Prognostic associations of ECG tracings in hospitalised patients with COVID-19: a systematic review and meta-analysis protocol |
title | Prognostic associations of ECG tracings in hospitalised patients with COVID-19: a systematic review and meta-analysis protocol |
title_full | Prognostic associations of ECG tracings in hospitalised patients with COVID-19: a systematic review and meta-analysis protocol |
title_fullStr | Prognostic associations of ECG tracings in hospitalised patients with COVID-19: a systematic review and meta-analysis protocol |
title_full_unstemmed | Prognostic associations of ECG tracings in hospitalised patients with COVID-19: a systematic review and meta-analysis protocol |
title_short | Prognostic associations of ECG tracings in hospitalised patients with COVID-19: a systematic review and meta-analysis protocol |
title_sort | prognostic associations of ecg tracings in hospitalised patients with covid-19: a systematic review and meta-analysis protocol |
topic | Infectious Diseases |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362788/ http://dx.doi.org/10.1136/bmjopen-2021-057667 |
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