Add like
Add dislike
Add to saved papers

Long Exercise Test in Periodic Paralysis: A Bayesian Analysis.

Muscle & Nerve 2019 January
INTRODUCTION: The long exercise test (LET) is used to assess the diagnosis of periodic paralysis (PP), but LET methodology and normal "cutoff" values vary.

METHODS: To determine optimal LET methodology and cutoffs, we reviewed LET data (abductor digiti minimi motor response amplitude, area) from 55 patients with PP (32 genetically definite) and 125 controls. Receiver operating characteristic curves were constructed, and area under the curve (AUC) was calculated to compare (1) peak-to-nadir versus baseline-to-nadir methodologies and (2) amplitude versus area decrements. Using bayesian principles, we calculated optimal cutoff decrements that achieved 95% posttest probability of PP for various pretest probabilities (PreTPs).

RESULTS: AUC was highest for peak-to-nadir methodology and equal for amplitude and area decrements. For PreTP ≤ 50%, optimal decrement cutoffs (peak-to-nadir) were > 40% (amplitude) or > 50% (area).

DISCUSSION: For confirmation of PP, our data endorse the diagnostic utility of peak-to-nadir LET methodology using 40% amplitude or 50% area decrement cutoffs for PreTP ≤50%. Muscle Nerve 59:47-54, 2019.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app