Hans

[Stephen W. Smith @smithECGBlog]

Just published Ed and European Hart Journal Acute cardiovascular Care

@PMcardioApp @josenalencar @ECGcases

https://t.co/UR8ip3df1J

[Stephen W. Smith @smithECGBlog]

The Right Decision for the Wrong Reason?

https://t.co/T7cLXpNyFn

[Robert Herman, MD, PhD @RobertHermanMD]

Missed STEMIs (NSTEMI-OMIs) have ~7.8% in-hospital mortality.

That’s higher than than the 1-year mortality after STEMI managed in time.

Time is muscle, regardless of ECG criteria. We now have tools to detect a significant proportion of these earlier at acceptable PPV!

[Stephen W. Smith @smithECGBlog]

Minneapolis Heart Institute level 1 STEMI system already activates the cath lab for STEMI-Equivalents which do not meet STEMI millimeter criteria. See here: https://t.co/qX9XqKbuHk

129 very difficult OMI cases remained, all missed at initial evaluation due to "non-diagnostic" ECG.

@PMcardioApp Queen of Hearts AI Model detected 58% of them with high specificity.

Save myocardium. @yadersandoval

https://t.co/QuLwFNVWZN

[Hans @HansCHelseth]

https://t.co/aSGzIHfyzZ

[José de Alencar @josenalencar]

It was the FTT that, in 1994, grouped thrombolysis studies in myocardial infarction and concluded: Only patients with ST-elevation benefit from thrombolysis. This shaped the next three decades of research progress. Even the evolution of this treatment, angioplasty, was born within this paradigm.

But…

If a simple methodological choice had been different, the FTT’s result could have been: patients without ST-elevation also benefit from thrombolysis in myocardial infarction.

That’s what we demonstrated in this meta-analysis.

https://t.co/33EiQHFxXS

[José de Alencar @josenalencar]

@ECGcases @HansCHelseth @smithECGBlog Thanks for the editorial @ECGcases , @smithECGBlog and @HansCHelseth
Chronology does not matter. Ischemic findings matter

[Jesse McLaren @ECGcases]

LBBB and the paradigm shift from #STEMI to #OcclusionMI. Editorial with @HansCHelseth and @smithECGBlog https://t.co/jcUvmRdvDV in reference to great study by @josenalencar https://t.co/P6lnhobjxc

[Willy Frick @willyhfrick]

@The_Nanashi_O @TheECGMedic @lila_enis @ecgandrhythmRoe @Ecgloverr @EcgOxford @Dokutah_Vyew @DrRajeshG1 @LeonrMail @IBBI_2501 @KostekMilan @Frances98392343 Now in print! @HansCHelseth

https://t.co/UTtyixSfC3

[Stephen W. Smith @smithECGBlog]

Bayesian Diagnosis of Occlusion Myocardial Infarction: A Case-Based Clinical Analysis

Full text: https://t.co/OZlqj2vL5V

[Hans @HansCHelseth]

@TheECGMedic The EKG is diagnostic of ischemia, likely subendocaridal. Must look for something to explain myocardial oxygen supply-demand mismatch, otherwise consider emergent cath!

[Stephen W. Smith @smithECGBlog]

Chest pain. Is this EKG completely Normal? First hs troponin T = 32 ng/L. Management? Diagnosis?

https://t.co/yKAvT2Yhth

[Stephen W. Smith @smithECGBlog]

What is this rhythm? And what should we do about it?

https://t.co/pSe8eYH01T

[Stephen W. Smith @smithECGBlog]

Altered mental status, bradycardia

https://t.co/KQibmNUPYu

[Stephen W. Smith @smithECGBlog]

Never send a chest pain patient home without measuring troponin. What is masquerading bundle branch block? And, and, and....

https://t.co/eXVDdLTFEp

[Stephen W. Smith @smithECGBlog]

https://t.co/L4m1ZejjBg

[Stephen W. Smith @smithECGBlog]

https://t.co/z8h5CY2yVN

@PMcardioApp Queen of Hearts

Artificial Intelligence Detection of Occlusive Myocardial
Infarction from Electrocardiograms Interpreted as “Normal” by Conventional Algorithms.

Conclusion: The Conventional Computer Algorithm may
interpret an ECG manifesting OMI as “normal”. AI not only recognized these as abnormal, but in 81% of patients, correctly recognized OMI on the first ECG and recognized 72% of all the CCA “normal” ECGs as OMI. It was rare for AI to diagnose a normal ECG for any
OMI patient.

[Stephen W. Smith @smithECGBlog]

"Anterior" ST Depression: Which Lesion is the Culprit?

https://t.co/YK0LSjMLBc

[Stephen W. Smith @smithECGBlog]

Pulmonary edema, with tachycardia and OMI on the ECG -- what is going on?

https://t.co/BkgoAIyBaA

[Stephen W. Smith @smithECGBlog]

Here is the abstract of a paper we just submitted. Our Queen of Hearts PM Cardio AI model diagnoses OMI in 80% of OMI cases in which the conventional algorithm said the ECG was COMPLETELY NORMAL!!!
@PMcardioApp @RobertHermanMD