Mohammed Ayyad, Maram Albandak, Dhir Gala, Basel Alqeeq, Muath Baniowda, Johann Pally, Joseph Allencherril
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The utility of the OMI paradigm was evaluated against the traditional STEMI/NSTEMI framework, with a particular emphasis on atypical EKG findings and their role in guiding early intervention.</p><p><strong>Results: </strong>Traditional STEMI criteria fail to identify ACO in approximately 30% of NSTEMI patients, leading to delayed reperfusion and increased mortality. The OMI framework demonstrates improved sensitivity (78.1% vs. 43.6% for STEMI criteria) for detecting ACO by incorporating subtle EKG changes, including hyperacute T-waves, de Winter T-waves, and posterior infarction patterns. OMI-guided management facilitates timely diagnosis and intervention, potentially reducing adverse outcomes. Emerging artificial intelligence (AI) tools further enhance EKG interpretation and clinical decision-making.</p><p><strong>Conclusions: </strong>Transitioning to the OMI paradigm addresses critical gaps in the STEMI/NSTEMI framework by emphasizing the identification of ACO irrespective of ST-segment elevation. This approach could significantly improve patient outcomes by reducing delays in reperfusion therapy. 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引用次数: 0
摘要
背景:目前将急性心肌梗死(AMI)分为st段抬高型心肌梗死(STEMI)和非st段抬高型心肌梗死(NSTEMI),在识别不表现典型st段抬高的急性冠状动脉闭塞(ACO)患者方面存在局限性。新出现的证据表明,重新分类为“闭塞性心肌梗死”(OMI)可能会提高诊断的准确性和治疗干预措施。方法:对相关文献进行全面回顾,重点关注急性心肌炎的病理生理学、心电图(EKG)模式和治疗。对比传统的STEMI/NSTEMI框架对OMI范式的效用进行了评估,特别强调了非典型心电图的发现及其在指导早期干预中的作用。结果:传统的STEMI标准在大约30%的NSTEMI患者中无法识别ACO,导致再灌注延迟和死亡率增加。OMI框架通过结合心电图的细微变化(包括超急性t波、德冬t波和后壁梗死模式)检测ACO的灵敏度提高(78.1% vs. STEMI标准43.6%)。omi指导的管理有助于及时诊断和干预,潜在地减少不良后果。新兴的人工智能(AI)工具进一步增强了心电图解释和临床决策。结论:向OMI范式的过渡通过强调与st段抬高无关的ACO的识别,解决了STEMI/NSTEMI框架中的关键空白。这种方法可以通过减少再灌注治疗的延迟来显著改善患者的预后。需要未来的随机试验来验证OMI范式并优化其在临床实践中的实施。
Reevaluating STEMI: The Utility of the Occlusive Myocardial Infarction Classification to Enhance Management of Acute Coronary Syndromes.
Background: The current classification of acute myocardial infarction (AMI) into ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI) has limitations in identifying patients with acute coronary occlusion (ACO) who do not exhibit classic ST-elevation. Emerging evidence suggests that a reclassification to "Occlusive Myocardial Infarction" (OMI) may enhance diagnostic accuracy and therapeutic interventions.
Methods: A comprehensive review of the literature was conducted, focusing on the pathophysiology, electrocardiographic (EKG) patterns, and management of ACO. The utility of the OMI paradigm was evaluated against the traditional STEMI/NSTEMI framework, with a particular emphasis on atypical EKG findings and their role in guiding early intervention.
Results: Traditional STEMI criteria fail to identify ACO in approximately 30% of NSTEMI patients, leading to delayed reperfusion and increased mortality. The OMI framework demonstrates improved sensitivity (78.1% vs. 43.6% for STEMI criteria) for detecting ACO by incorporating subtle EKG changes, including hyperacute T-waves, de Winter T-waves, and posterior infarction patterns. OMI-guided management facilitates timely diagnosis and intervention, potentially reducing adverse outcomes. Emerging artificial intelligence (AI) tools further enhance EKG interpretation and clinical decision-making.
Conclusions: Transitioning to the OMI paradigm addresses critical gaps in the STEMI/NSTEMI framework by emphasizing the identification of ACO irrespective of ST-segment elevation. This approach could significantly improve patient outcomes by reducing delays in reperfusion therapy. Future randomized trials are needed to validate the OMI paradigm and optimize its implementation in clinical practice.
期刊介绍:
The aim of this journal is to provide timely perspectives from experts on current advances in cardiovascular medicine. We also seek to provide reviews that highlight the most important recently published papers selected from the wealth of available cardiovascular literature.
We accomplish this aim by appointing key authorities in major subject areas across the discipline. Section editors select topics to be reviewed by leading experts who emphasize recent developments and highlight important papers published over the past year. An Editorial Board of internationally diverse members suggests topics of special interest to their country/region and ensures that topics are current and include emerging research. We also provide commentaries from well-known figures in the field.