All research
2026-07-10 PubMed

Medtronic MiniMed 780G's PID algorithm improves postprandial glycemia for unannounced meals in T1D adolescents

The CRUMB study: closed-loop response to unannounced mixed and carbohydrates-rich breakfasts. A randomized controlled crossover pilot-study in a cohort of adolescents with type 1 diabetes.

Background

Managing Type 1 Diabetes (T1D) presents significant challenges, especially concerning postprandial glucose excursions. Unannounced meals, where carbohydrate intake is not pre-bolused, are a major hurdle, often leading to hyperglycemia. Current standard-of-care often involves manual insulin bolusing, which can be imprecise and burdensome. Automated Insulin Delivery (AID) systems aim to mitigate this by autonomously adjusting insulin delivery, but their performance varies. This study addresses the critical gap in understanding how different AID algorithms handle the real-world scenario of unannounced meals, impacting glycemic control and patient quality of life.

Study Design

This randomized controlled crossover pilot-study enrolled 20 adolescents aged 11 to 18 years with Type 1 Diabetes, who were using either the Medtronic MiniMed 780G (utilizing a proportional-integral-derivative, PID, algorithm) or the Tandem t:slim X2 (employing a model predictive control, MPC, algorithm) AID system. Participants consumed two types of meals: a carbohydrate-only meal and a mixed meal, both containing 30 g of carbohydrates, with the mixed meal including an additional 15 g of protein. Each meal type was tested in both announced (AM) and unannounced (UM) settings. Primary endpoints included 2-hour and 4-hour blood glucose difference (ΔBG), glucose peak, time to peak, and time spent above (TAR), below (TBS), in range (TIR), and in tight range (TITR).

Results

For unannounced meals (UM), the PID algorithm demonstrated significantly better glycemic control compared to the MPC algorithm. Specifically, PID achieved a lower 2-hourΔBG than MPC, alongside a reduced glucose peak, lower TAR (time above range), and improved TIR (time in range) and TITR (time in tight range). Differences in 4-hourΔBG and time-at-peak were not statistically significant between the two algorithms. Both AID algorithms effectively mitigated postprandial glycemia and returned glucose levels to baseline within 4 hours without any reported safety concerns.

In mixed announced meals, the PID algorithm also showed lower glucose peaks and TAR, with higher TIR and TITR compared to MPC. However, when meals were properly announced (AM), the performance of both algorithms was comparable for carbohydrate-only meals. This suggests a distinct advantage for PID in scenarios where meal boluses are not pre-administered.

Key Findings

  • Both AID algorithms mitigated postprandial glycemia and returned glucose to baseline within 4 hours without safety concerns.
  • In unannounced meals, the PID algorithm (Medtronic MiniMed 780G) achieved lower 2-hourΔBG than MPC (Tandem t:slim X2).
  • The PID algorithm also showed reduced glucose peak, lower TAR, and improved TIR and TITR for unannounced meals.
  • For announced carbohydrate-only meals, both PID and MPC algorithms performed comparably.
  • In announced mixed meals, PID demonstrated lower peaks and TAR, with higher TIR and TITR.

Why It Matters

For Type 1 Diabetes patients, especially adolescents, relying on AID systems, the choice of algorithm significantly impacts glycemic control, particularly when meals are unannounced. This study highlights that not all AID systems perform equally in real-world, less-than-ideal scenarios. Users of systems with PID-based algorithms, like the Medtronic MiniMed 780G, may experience better postprandial glucose management even without precise meal bolusing, potentially reducing the mental burden and improving quality of life. Clinically, this suggests that for patients struggling with meal announcement adherence, a PID-based system might offer a more robust safety net. This finding could influence future AID system development and personalized treatment protocols, emphasizing the importance of algorithm design for optimal glucose regulation in dynamic daily life.


type-1-diabetes automated-insulin-delivery glucose-control adolescents medtronic tandem
Source: pubmed:42430041 · Ingested 2026-07-10 · Digest: gemini-2.5-flash