Abstract
Duchenne muscular dystrophy (DMD) is the most prevalent dystrophy. A range of nutritional status derangements, varying from over nutrition to under nutrition, occurs with disease progression. The estimation of resting energy expenditure (REE) is the first step towards a personalized nutritional intervention, but indirect calorimetry (IC), the reference method, is available only in advanced clinical centers, and prediction formulas (PFs) are used in clinical practice. For this purpose, we compared the existing PFs for REE to identify the most accurate in DMD patients. We performed IC on 26 DMD patients (mean age 10.38±5.06) with an open-circuit ventilated-hood system (Sensor Medics 29, Anaheim, CA, USA). Patients were fasted for at least 6h. Data collection time was at least 20 min, with a 5 min run-in time for stabilization. Than we compared the results of IC with the PFs. Differences between IC vs PFs are shown on Table 1. The most accurate of PFs is Muller et Al. which has a delta
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