Characteristics Associated With Elevated Time Below Range in Elderly Patients With Type 1 Diabetes Using an Automated Insulin Delivery System

Ana María Gómez Medina, Darío A. Parra Prieto, Diana Cristina Henao Carrillo, Claudia Milena Gómez, Oscar Mauricio Muñoz Velandia, Sandra Caicedo, Alfonso Luis Kerguelen Villadiego, Luis Miguel Rodríguez Hortúa, Oscar David Lucero Pantoja, Mauricio Uribe Valencia, María Margarita García Guete, Sofia Robledo Gómez, Martin Rondón Sepúlveda

Research output: Contribution to journalArticlepeer-review

Abstract

Background: This study investigated the characteristics associated with an increased risk of hypoglycemia, in elderly patients with type 1 diabetes mellitus (T1D) using automated insulin delivery (AID) systems. Methods: Cross-sectional observational study including patients >60 years, using sensor-augmented insulin pump therapy with predictive low-glucose management (SAPT-PLGM), hybrid closed-loop (HCL), and advanced hybrid closed-loop (AHCL), for more than three months. A geriatric assessment was performed, and body composition was determined to investigate its association with achieving time below range (TBR) <70 mg/dL goals. Results: The study included 59 patients (47.5% of men, mean age of 67.6 years, glycated hemoglobin [HbA1c] of 7.5 ± 0.6%, time in range (TIR) 77.8 ± 9.9%). Time below range <70 and <54 mg/dL were 2.2 ± 2.3% and 0.4 ± 0.81%, respectively. Patients with elevated TBR <70 mg/dL (>1%) had higher HbA1c levels, lower TIR, elevated time above range (TAR), and high glycemic variability. Regarding body composition, greater muscle mass, grip strength, and visceral fat were associated with a lower TBR <70 mg/dL. These factors were independent of the type of technology used, but TIR was higher when using AHCL systems compared with SAPT-PLGM and HCL systems. Conclusions: In elderly patients treated with AID systems with good functional status, lower lean mass, lower grip strength, and lower visceral fat percentage were associated with TBR greater than 1%, regardless of the device used. A similar finding along was found with CGM indicators such as higher HbA1c levels, lower TIR, higher TAR, and higher CV. Geriatric assessment is crucial for personalizing patient management.

Original languageEnglish
JournalJournal of Diabetes Science and Technology
DOIs
StatePublished - 20 Mar 2024

Keywords

  • automated insulin delivery
  • elderly
  • hyperglycemia
  • hypoglycemia
  • time in range
  • type 1 diabetes

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