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Dear all,
QT correction is know to be highly variable and with a potential hysteresis.
With the current advances, like to know your experience on the initial QT correction method used in
your institution, especially not based on the standard methods like Bazett's and others. Do you
collect patients data to build population (or sub-population) specific nomograms? Factors like
gender, age, smoking and health status could affect QT correction.
Am interested in the early approach before cardiology intervention. There are better approaches
like the use of population analysis or in vitro stem cells, but they could be beyond the scope of
routine clinical practice.
Thank you.
Charles Oo, PharmD, PhD
Email: charlesoo.aaa.yahoo.com
https://www.linkedin.com/pub/charles-oo/6/a84/9b
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Dear Charles:
This is what I have, which apparently is much better than QT/SQRT of R_R. I know you don't take
attachments, so I am trying to copy the paper into this message here below. But it did not work, so
the reference is
Sagie A, Larson M, Goldberg R,Bengtson J, and Levy D: An Improved Method for Adjusting the QT
Interval for Heart Rate (the Framingham Heart Study), American Journal of Cardiology, 1992; 70: 797
- 801. From Figure 2, it looks like they did a good job.
Very best regards,
Roger Jelliffe MD
jelliffe.-a-.usc.edu
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