Exercise testing-based algorithms to diagnose McArdle disease and MAD defects.

J-B NouryF ZagnoliJ-L CarréI DrouillardF PetitC Le MaréchalP MarcorellesFabrice Rannou

Published in: Acta neurologica Scandinavica (2018)

PCET-based decision tree was more accurate than IHT, with respective generalized squared correlations of 0.796 vs 0.668. IHT and PCET are both interesting diagnostic tools to identify McArdle disease, whereas cycle ergometer exercise is more efficient to diagnose complete MAD deficiency.

Keyphrases

high intensity
physical activity
machine learning
resistance training
high resolution
mass spectrometry
body composition