Jordan Prutkin

@jordanprutkin

Cardiac Electrophysiologist and Sports Cardiologist, University of Washington. Lapsed juggler.

Seattle, WA
Vrijeme pridruživanja: studeni 2018.

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  1. proslijedio/la je Tweet
    24. sij

    Spring in Seattle XIX: Clinical Cardiology Pearls for Primary Care will be held on April 27-28 on the UW Seattle campus. An excellent opportunity for primary care physicians to hear about the latest developments. Visit to register and for course details.

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  2. 21. sij

    The study doesn’t show if you should do testing in kids, just those who underwent DFT testing were likely a healthier cohort and that it seems safe if you choose to do it. /end

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  3. 21. sij

    Lots of limitations. The Registry is volunteer in non-Medicare patients so there’s some bias involved. We don’t know how many shocks were done, we don’t know if a device was pectoral or abdominal, we only have in-hospital complications, and it’s non-randomized. /5

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  4. 21. sij

    We defined an inadequate defibrillation safety margin if the lowest successful energy tested was <10J than the max output of the ICD. It’s a surrogate of a high DFT. It occurred in 13.6% vs. 9.4% in adults. Inadequate DSM was associated with an increased risk of complications./4

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  5. 21. sij

    DFT testing was performed in 64.0% but decreased over time. After multivariable adjustment, DFT testing was not associated with in-hospital complications, but was associated with a lower odds of prolonged hospital stay (>3 days)/3

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  6. 21. sij

    There’s a fair amount of data about DFT testing in adults, but not much in kids. That’s not too surprising as that’s true for almost everything in medicine. We looked at 3,943 patients ≤21 years old from the NCDR ICD Registry who received a new ICD or generator change. /2

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  7. 21. sij

    Our manuscript on DFT testing in pediatric patients was just published ahead of print in IJC. It’s the largest analysis of DFT testing in kids. A short review/1

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  8. proslijedio/la je Tweet
    17. sij
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  9. 18. sij
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  10. 18. sij

    Frankly, I don’t understand much of the rest of the paper. But, a good take-home would be “The complexity of the reasons behind (changes in afib procedure duration) illustrate why it is so difficult to anticipate how assumptions depended on by a model might break in practice.”

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  11. 18. sij

    Changes in catheter technologies, operator experience, and personnel changes in both staff and operators throughout the early 2010’s are the likely causes.

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  12. 18. sij

    Why is an electrophysiologist an author on this paper? Because afib ablations were screwing up the data. My colleagues in CS were trying to predict surgical and procedural durations, but afib ablation duration changed significantly over time, including some abrupt changes.

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  13. 18. sij

    I’m excited our paper on TreeExplainer came out in Nature Machine Intelligence. It is a set of tools routed in game theory to explain how a machine learning model arrives at its prediction to identify patterns that may not be immediately apparent.

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  14. proslijedio/la je Tweet
    17. sij

    "From local explanations to global understanding with explainable AI for trees" , by researchers , , Alex DeGrave, , Bala Nair, Ronit Katz, , , (4/4)

    Nature Machine Intelligence TreeExplainer cover image
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  15. proslijedio/la je Tweet
    4. sij

    Start 2020 right! Be prepared for SCA! New training video on recognition and management of SCA in sports. I hope every coach and medical professional responsible for athletes watches this 10 min video. Thank you .

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  16. proslijedio/la je Tweet
    3. pro 2019.

    This week is looking for multiple Cardiovascular Technologists to join the Electrophysiology (EP) Lab! Learn more & apply here:

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  17. 26. stu 2019.

    Just a reminder to bring your pager to work tomorrow

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  18. 15. stu 2019.

    Does this mean will start posting on Twitter?

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  19. 7. stu 2019.
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  20. 7. stu 2019.

    Final result here, with paced ECG.

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