Scoring system for predicting the Post-Operative Atrial Fibrillation (POAF) in post-cardiac surgery: a literature review

Abstract Link of Video Abstract: https://youtu.be/tl9Q8g6DUdc Background: Coronary artery bypass grafting (CABG) is still one of the optimal treatment options for revascularization in coronary heart disease. Despite Atrial Fibrillation being the most common arrhythmia after CABG, there’s still n...

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Main Authors: Rahajeng Arianggarini Puspitasari, -, Yan Efrata Sembiring, Yan, Joan Angelina Sembiring, -
Format: Article PeerReviewed
Language:English
Indonesian
English
Published: DiscoverSys
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Online Access:https://repository.unair.ac.id/133148/1/6%20artikel.pdf
https://repository.unair.ac.id/133148/2/karil%2006.pdf
https://repository.unair.ac.id/133148/3/6%20turnitin.pdf
https://repository.unair.ac.id/133148/
https://balimedicaljournal.org/index.php/bmj/article/view/4801
https://doi.org/10.15562/bmj.v12i3.4801
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spelling id-langga.1331482024-05-15T08:11:19Z https://repository.unair.ac.id/133148/ Scoring system for predicting the Post-Operative Atrial Fibrillation (POAF) in post-cardiac surgery: a literature review Rahajeng Arianggarini Puspitasari, - Yan Efrata Sembiring, Yan Joan Angelina Sembiring, - R5-920 Medicine (General) Abstract Link of Video Abstract: https://youtu.be/tl9Q8g6DUdc Background: Coronary artery bypass grafting (CABG) is still one of the optimal treatment options for revascularization in coronary heart disease. Despite Atrial Fibrillation being the most common arrhythmia after CABG, there’s still no agreement on which risk assessment to predict the incidence of Post Operative Atrial Fibrillation (POAF). Some studies have shown that the findings of Atrial fibrillation after CABG are associated with increased hemodynamic disturbances, thromboembolic manifestations, readmission to the Intensive Care Unit (ICU), increased length of stay, organ failure, and death. This study aims to analyze the scoring system used for predicting the incidence of POAF in cardiac surgery. Methods: This study used “POAF” AND “Scoring system," AND "CABG” AND “Atrial Fibrillation” as keywords to explore the literature from PubMed, Google Scholar, ProQuest, and Clinical Key. Search engines were searched for relevant papers from the last 15 years. Result: CHA2DS2-VASc score has a sensitivity of 74.2%, a specificity of 44.7% and can identify patients who are predicted to have a high risk of experiencing POAF by 49.4%. The CHA2DS2-VASc score can be used as an independent predictor for predicting POAF. HATCH score cut-off point exceeding 1 was linked to AF prediction, yielding a sensitivity of 42% and specificity of 70%. POAF Score, the scoring system anticipates an increased likelihood of POAF development (58.5%). A score of 1 corresponds to a 30.1% probability of POAF occurrence and is a practical point for commencing preventive therapy. Conclusion: Despite the various scoring systems used to predict postoperative atrial fibrillation, including the CHA2DS2-VASc score, HATCH score and Mariscalco. POAF Score demonstrated a validated ability to predict POAF. DiscoverSys Article PeerReviewed text en https://repository.unair.ac.id/133148/1/6%20artikel.pdf text id https://repository.unair.ac.id/133148/2/karil%2006.pdf text en https://repository.unair.ac.id/133148/3/6%20turnitin.pdf Rahajeng Arianggarini Puspitasari, - and Yan Efrata Sembiring, Yan and Joan Angelina Sembiring, - Scoring system for predicting the Post-Operative Atrial Fibrillation (POAF) in post-cardiac surgery: a literature review. Bali Medical Journal, 12 (3). ISSN 2089-1180 https://balimedicaljournal.org/index.php/bmj/article/view/4801 https://doi.org/10.15562/bmj.v12i3.4801
institution Universitas Airlangga
building Universitas Airlangga Library
continent Asia
country Indonesia
Indonesia
content_provider Universitas Airlangga Library
collection UNAIR Repository
language English
Indonesian
English
topic R5-920 Medicine (General)
spellingShingle R5-920 Medicine (General)
Rahajeng Arianggarini Puspitasari, -
Yan Efrata Sembiring, Yan
Joan Angelina Sembiring, -
Scoring system for predicting the Post-Operative Atrial Fibrillation (POAF) in post-cardiac surgery: a literature review
description Abstract Link of Video Abstract: https://youtu.be/tl9Q8g6DUdc Background: Coronary artery bypass grafting (CABG) is still one of the optimal treatment options for revascularization in coronary heart disease. Despite Atrial Fibrillation being the most common arrhythmia after CABG, there’s still no agreement on which risk assessment to predict the incidence of Post Operative Atrial Fibrillation (POAF). Some studies have shown that the findings of Atrial fibrillation after CABG are associated with increased hemodynamic disturbances, thromboembolic manifestations, readmission to the Intensive Care Unit (ICU), increased length of stay, organ failure, and death. This study aims to analyze the scoring system used for predicting the incidence of POAF in cardiac surgery. Methods: This study used “POAF” AND “Scoring system," AND "CABG” AND “Atrial Fibrillation” as keywords to explore the literature from PubMed, Google Scholar, ProQuest, and Clinical Key. Search engines were searched for relevant papers from the last 15 years. Result: CHA2DS2-VASc score has a sensitivity of 74.2%, a specificity of 44.7% and can identify patients who are predicted to have a high risk of experiencing POAF by 49.4%. The CHA2DS2-VASc score can be used as an independent predictor for predicting POAF. HATCH score cut-off point exceeding 1 was linked to AF prediction, yielding a sensitivity of 42% and specificity of 70%. POAF Score, the scoring system anticipates an increased likelihood of POAF development (58.5%). A score of 1 corresponds to a 30.1% probability of POAF occurrence and is a practical point for commencing preventive therapy. Conclusion: Despite the various scoring systems used to predict postoperative atrial fibrillation, including the CHA2DS2-VASc score, HATCH score and Mariscalco. POAF Score demonstrated a validated ability to predict POAF.
format Article
PeerReviewed
author Rahajeng Arianggarini Puspitasari, -
Yan Efrata Sembiring, Yan
Joan Angelina Sembiring, -
author_facet Rahajeng Arianggarini Puspitasari, -
Yan Efrata Sembiring, Yan
Joan Angelina Sembiring, -
author_sort Rahajeng Arianggarini Puspitasari, -
title Scoring system for predicting the Post-Operative Atrial Fibrillation (POAF) in post-cardiac surgery: a literature review
title_short Scoring system for predicting the Post-Operative Atrial Fibrillation (POAF) in post-cardiac surgery: a literature review
title_full Scoring system for predicting the Post-Operative Atrial Fibrillation (POAF) in post-cardiac surgery: a literature review
title_fullStr Scoring system for predicting the Post-Operative Atrial Fibrillation (POAF) in post-cardiac surgery: a literature review
title_full_unstemmed Scoring system for predicting the Post-Operative Atrial Fibrillation (POAF) in post-cardiac surgery: a literature review
title_sort scoring system for predicting the post-operative atrial fibrillation (poaf) in post-cardiac surgery: a literature review
publisher DiscoverSys
url https://repository.unair.ac.id/133148/1/6%20artikel.pdf
https://repository.unair.ac.id/133148/2/karil%2006.pdf
https://repository.unair.ac.id/133148/3/6%20turnitin.pdf
https://repository.unair.ac.id/133148/
https://balimedicaljournal.org/index.php/bmj/article/view/4801
https://doi.org/10.15562/bmj.v12i3.4801
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