Continuous glucose monitoring reveals glycemic profile in adrenal insufficiency patients on glucocorticoid replacement
Year: 2026
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: Hypoglycemia is common in patients with adrenal insufficiency (AI), who require lifelong glucocorticoid replacement therapy. However, whether this therapy restores physiological glycemic fluctuations in patients with AI remains unclear. This study aimed to characterize glucose fluctuation pattern in patients with AI using continuous glucose monitoring (CGM). METHODS: Twenty-seven patients with AI on stable doses of glucocorticoid were consecutively enrolled. Fifty-four age-, sex-, and BMI-matched normal controls (NCs) were selected from a healthy volunteer database at a 2:1 ratio. CGM was conducted with a blinded method for 14 days. Glucocorticoid regimen and adverse events during CGM were documented. RESULTS: The AI group had a mean age of 59.53 ± 8.51 years (15 males). Compared with NCs, patients with AI exhibited increased time below range (TBR, glucose <3.9 and <3.0 mmol/L) and decreased time in range (TIR, glucose within 3.9-7.8 mmol/L). Time above range (TAR, glucose ≥ 7.8 mmol/L) was elevated during the lunch and dinner periods, and glucose fluctuation parameters were also increased. CGM-detected hypoglycemia was observed in all patients (27/27, 100%) versus 46/54 (85.2%) controls (P = 0.047). Patients receiving once-daily glucocorticoid had higher lunchtime TAR than those on twice-daily dosing. Hydrocortisone-treated patients showed higher breakfast and lunchtime TAR compared with prednisone users. Patients with immune checkpoint inhibitor (ICI)-induced AI had higher glucose levels and fluctuation parameters during breakfast and dinner periods than those with other etiologies. CONCLUSION: Patients with AI receiving glucocorticoid replacement experience more frequent CGM-recorded asymptomatic hypoglycemia and greater glucose variability. CGM may provide valuable insights for optimizing glucocorticoid administration strategies in AI.
Source: Endocrine Connections
DOI: 10.1530/ec-26-0304
Institutions: Peking University People's Hospital, Peking University
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,146
OpenAlex ID: W7221529913
