Objective: Hypoglycemia causes significant morbidity and mortality in patients with severe eating disorders. We measured average glycemic levels using hemoglobin A1C (HbA1C) in patients hospitalized for extreme anorexia nervosa (AN) and avoidant restrictive food intake disorder (ARFID).
Methods: This was a prospective, single-center cohort study conducted in an inpatient medical stabilization unit. Clinical outcomes were compared using paired t-tests. Additional analysis comparing clinical variables between undetectable and detectable HbA1c used two-sample t-tests.
Results: The study cohort consisted of 148 individuals, 90% female, average age of 31 years, average admit body mass index of 12.5 kg/m, and mean percentage ideal body weight of 60.1%. Diagnoses included AN-restricting (54%), AN-binge purge (39%), and ARFID (7%). HbA1C and fructosamine levels decreased from admission to discharge. Serum glucose levels increased significantly from admission to discharge. Mean HbA1C was 4.7% on admission and 4.3% on discharge.
Discussion: This study evaluated mean blood glucose levels using HbA1C in patients with extreme forms of AN and ARFID. Given the concern for morbidity and mortality from hypoglycemia in this population, which can be overlooked on a single point-of-care glucose measurement, HbA1C is a valuable laboratory measure of glycemic status in patients with extreme forms of eating disorders.
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http://dx.doi.org/10.1002/eat.24285 | DOI Listing |
JMIR Diabetes
January 2025
Center for Evaluation and Survey Research, HealthPartners Institute, Bloomington, MN, United States.
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Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei City, Taiwan.
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Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Metabolic reprogramming is important in primary biliary cholangitis (PBC) development. However, studies investigating the metabolic signature within the liver of PBC patients are limited. In this study, liver biopsies from 31 PBC patients and 15 healthy controls were collected, and comprehensive metabolomics, lipidomics, and proteomics analysis were conducted to characterize the metabolic landscape in PBC.
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