Breath Analysis in Children with Ketogenic Glycogen Storage Diseases

نویسندگان

چکیده

(1) Background: The treatment goal of ketogenic glycogen storage diseases (GSDs) is appropriate control hypoglycemia and other disturbances such as dyslipidemia. Monitoring ketosis are known to improve outcomes. We used breath analysis identify volatile organic compounds (VOCs) that correlate with serum ketones in order provide a non-invasive method monitoring ketosis. (2) Methods: Consecutive children GSDs were recruited from single center during routine admission monitor glucose ketone levels. Five samples collected every patient at the same time blood draws. SIFT-mass spectrometry was analyze samples. Univariate linear mixed-effects regression models for 22 VOCs either or performed. (3) Results: Our cohort included 20 patients aged 5–15 years mean BMI kg/m2 (72% tile). Most had GSD type 0 (35%), while 25% IX. showed significant correlation levels acetone (p < 0.0001), trimethylamine pentane = 3-methylhexane 0.0047), carbon disulfide 0.0499). No found between any VOC. (4) Conclusions: Breath promising noninvasive tool can be predict GSD.

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ژورنال

عنوان ژورنال: Livers

سال: 2022

ISSN: ['2673-4389']

DOI: https://doi.org/10.3390/livers2040025