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ECG Errors that Lead to Missing Acute Coronary Occlusion

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Contenuto fornito da Mayo Clinic. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Mayo Clinic o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

ECG Errors that Lead to Missing Acute Coronary Occlusion
Guest: Dr. Ken Grauer

Host: Anthony H. Kashou, M.D.

In this episode, we highlight key aspects of 12-lead ECG interpretation, as it relates to the diagnosis of acute ischemia, and especially to acute coronary occlusion. We convey the concept of occlusion myocardial infarction (OMI), emphasizing appreciation of how the STEMI paradigm misses at least 30% of acute coronary occlusions that can be picked up by using the OMI paradigm. Furthermore, we cite ECG findings that facilitate early identification of an acute OMI and applying a time-efficient technique for how to compare one ECG to another and how artificial intelligence may play a role in this space.

Topics Discussed

  • Key initiatives or approaches to introduce in the ECG lab
  • Strategy for integrating the ECG lab with other departments to elevate cardiac care
  • Milestones and breakthroughs aimed to achieve with the ECG lab

Connect with Mayo Clinic's Cardiovascular Continuing Medical Education online at https://cveducation.mayo.edu or on Twitter @MayoClinicCV and @MayoCVservices.

LinkedIn: Mayo Clinic Cardiovascular Services

Cardiovascular Education App:
The Mayo Clinic Cardiovascular CME App is an innovative educational platform that features cardiology-focused continuing medical education wherever and whenever you need it. Use this app to access other free content and browse upcoming courses. Download it for free in Apple or Google stores today!


No CME credit offered for this episode.

Podcast episode transcript found here.

  continue reading

100 episodi

Artwork
iconCondividi
 
Manage episode 395757066 series 3475188
Contenuto fornito da Mayo Clinic. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Mayo Clinic o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

ECG Errors that Lead to Missing Acute Coronary Occlusion
Guest: Dr. Ken Grauer

Host: Anthony H. Kashou, M.D.

In this episode, we highlight key aspects of 12-lead ECG interpretation, as it relates to the diagnosis of acute ischemia, and especially to acute coronary occlusion. We convey the concept of occlusion myocardial infarction (OMI), emphasizing appreciation of how the STEMI paradigm misses at least 30% of acute coronary occlusions that can be picked up by using the OMI paradigm. Furthermore, we cite ECG findings that facilitate early identification of an acute OMI and applying a time-efficient technique for how to compare one ECG to another and how artificial intelligence may play a role in this space.

Topics Discussed

  • Key initiatives or approaches to introduce in the ECG lab
  • Strategy for integrating the ECG lab with other departments to elevate cardiac care
  • Milestones and breakthroughs aimed to achieve with the ECG lab

Connect with Mayo Clinic's Cardiovascular Continuing Medical Education online at https://cveducation.mayo.edu or on Twitter @MayoClinicCV and @MayoCVservices.

LinkedIn: Mayo Clinic Cardiovascular Services

Cardiovascular Education App:
The Mayo Clinic Cardiovascular CME App is an innovative educational platform that features cardiology-focused continuing medical education wherever and whenever you need it. Use this app to access other free content and browse upcoming courses. Download it for free in Apple or Google stores today!


No CME credit offered for this episode.

Podcast episode transcript found here.

  continue reading

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