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

Author:

Puspitasari Rahajeng Arianggarini,Sembiring Yan Efrata,Sembiring Joan Angelina

Abstract

Link of Video Abstract: https://youtu.be/tl9Q8g6DUdcBackground: 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.

Publisher

DiscoverSys, Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3