AI Article Synopsis

  • This study evaluated the body composition and nutritional status of pediatric patients newly diagnosed with type 1 diabetes using bioelectrical impedance analysis (BIA) and phase angle (PA) measurement.
  • Diabetic patients (ages 4-18) showed significantly lower PA and body composition metrics, including body cell mass percentage and muscle mass percentage, compared to a matched control group of healthy children.
  • The findings suggest poorer nutritional and functional status in diabetic patients, indicating a need for further research to explore the predictive and prognostic implications of these results.

Article Abstract

The aim of this study was to assess the body composition and nutritional status of hospitalized pediatric patients with newly diagnosed type 1 diabetes by using bioelectrical impedance analysis (BIA) with phase angle (PA) calculation. PA is considered to be a useful and very sensitive indicator of the nutritional and functional status, and it has not yet been evaluated in such a population. Sixty-three pediatric patients aged 4 to 18 years, with newly diagnosed type 1 diabetes, were included in the study. The control group consisted of 63 healthy children and adolescents strictly matched by gender and age in a 1:1 case: control manner. In both groups, BIA with PA calculation was performed. Diabetic patients, in comparison to control subjects, had a highly significantly lower PA of 4.85 ± 0.86 vs. 5.62 ± 0.81, < 0.001. They also demonstrated a lower percentage of body cell mass (BCM%), 46.89 ± 5.67% vs. 51.40 ± 4.19%, p < 0.001; a lower body cell mass index (BCMI), 6.57 ± 1.80% vs. 7.37 ± 1.72%, = 0.004; and a lower percentage of muscle mass (MM%), 44.61 ± 6.58% vs. 49.40 ± 7.59%, < 0.001, compared to non-diabetic controls. The significantly lower PA value in diabetic patients indicate their worse nutritional and functional status compared to healthy subjects. To assess the predictive and prognostic value of this finding in this population, further prospective studies involving larger sample of patients are required.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6306918PMC
http://dx.doi.org/10.3390/jcm7120516DOI Listing

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