Episode 9: ATTD 2025 Highlight and New CGMs (good, bad, ugly)
🔹 (02:14) ATTD 2025 – Conference Highlights
John shares his reflections from ATTD 2025 in Amsterdam, where he enjoyed four days of innovation, social connection – and a bit too much partying! He dives into the latest insights from the conference, especially around automated insulin delivery (AID) systems for both type 1 and type 2 diabetes.
The study’s details and links can be found in the ATTD Top 10 Hits
Key point: Updated algorithms like Control-IQ+ are improving time in range (TIR) by ~16% while reducing insulin needs. This aligns with John’s clinical experience – AID systems often lead to weight stability or weight loss thanks to smarter insulin distribution.
🔹 (04:38) The Rise of Fully Closed-Loop AI Systems
John explains the potential of fully closed-loop systems like BolusGPT and neural net-based algorithms, which can detect rapid glucose rises (suggesting a meal) and deliver insulin proactively. These new systems achieve around 66% TIR, only 3% less than hybrid closed loops. For people who are burned out or disengaged with diabetes self-management, these could offer game-changing simplicity without bolusing.
🔹 (06:54) Early AID Use = Long-Term Benefits
Findings from the Type 1 Diabetes Exchange show that people who start AID within 6 months of diagnosis achieve 67% TIR, versus only 60% if they start after a year. The earlier the system is introduced, the better the long-term outcomes – including fewer hypos and lower DKA risk.
🔹 (08:45) GLP-1s & Tirzepatide: Powerful Adjuncts
John dives into the off-label use of GLP-1 receptor agonists (like semaglutide) and dual agonists (like tirzepatide) in type 1 diabetes. Observational data shows ~0.5% HbA1c reduction, ~16% weight loss, and ~30% reduction in daily insulin dose. While not yet approved for type 1, the potential is strong. John encourages listeners to check out his Insulin Resistance Guide for a full lifestyle and pharmacological roadmap.
🔹 (10:57) Exercise as Medicine
John celebrates the work of Professor Mike Riddell and others highlighting the power of activity to improve glucose control. He contrasts the benefits of CGM and GLP-1s, and shows how activity before and after meals can blunt postprandial spikes. He plugs GNL Episode 8, which previewed his conference presentation – and sets the stage for what came next…
🔹 (11:37) A Glucose Rap Gets a Standing Ovation 🎤
Yes, really. John closed his conference talk with an AI-generated rap (with help from his daughter!) about using movement to lower glucose levels. It brought the house down – and you’ll hear the full track around the 12-minute mark.
For a fun summary: 99 Problems But Highs Aint One (click if you want to download it, use it, share it!)
Here is my presentation from the ATTD 2025 in PowerPoint and PDF, use as you wish!
🔹 (13:38) AID & High-Fat Meals – What the Algorithms Miss
Dr Carmel Smart highlighted that even the best AID systems struggle with high-fat meals like pizza due to delayed insulin resistance. Strategies such as split boluses and overestimating carbs are still necessary in some cases – reinforcing the idea that tech + tactics = success. For how to do this, check out- Episode 6: Ten Tips to Optimise Time in Range with AID.
Also, a proposed shift from “time in tight range” to “time in normal glycaemia” (TING) was discussed. Current AID systems only get about 50–60% of people to >50% time in TING, suggesting adjuncts like activity and GLP-1s are essential.
🔹 (15:59) Quality of Life Gains from AID
The Tandem Control-IQ2 trial showed not just improved glucose control but also better sleep and reduced hypo fear. However, John flags an important issue: there’s unequal access to these technologies. In his own service, they discovered a 90% white ethnic background among AID users, despite a much more diverse patient base. By 2024, they reversed this, showing that intentional service redesign can improve equity.
🔹 (17:55) What’s Needed to Reach 70–80% TIR?
AID alone might not be enough. John argues we need:
- Better algorithms (AI-driven)
- Adjunct therapies (GLP-1s, SGLT2 inhibitors)
- Lifestyle strategies (exercise, nutrition)
All of which he covers in the Insulin Resistance Guide
🔹 (19:35) CGMs – The Good, The Bad & The Misleading
John flags a major issue: not all CGM accuracy claims are created equal. All companies quote a MARD <10%, but unless their study design includes real-world tests (meals, boluses, extreme highs/lows), that number is meaningless. He highlights Roche’s Smart Guide as one new entrant doing things properly, and the others that are not! Read the CGM Guide and this chart below as a primer! Study Design Before Performance (MARD).
🔹 (22:38) AI-Driven CGM Alerts Are Coming
Roche also previewed new predictive alerts:
- Hypo risk in 30 mins
- 2-hour glucose forecast
- 7-hour overnight traffic-light hypo risk
Early data from Europe looks promising. John also shares that Dexcom G7 will soon last 15 days, and Libre 2/3 Plus already meet the highest CGM accuracy criteria.
🔹 (24:30) What’s Next & Final Thoughts
Data from the Radiant trial shows Libre 2 + Omnipod 5 performs similarly to Dexcom + Omnipod 5, but HbA1c data is still awaited. John ends by previewing upcoming episodes, especially a deep-dive CGM series with Louise, covering:
- How to evaluate CGM accuracy
- Alerts, alarms & AI
- Integration with AID systems
- Size, calibration & usability
If you found the episode helpful, please share it, leave a comment, and check the show notes for links to the rap, insulin resistance guide, and CGM comparison resources.
📥 Show Notes & Resources
- The study’s details and links can be found in the ATTD 2025 Top 10 Hits
- 🎧 Download the Glucose Rap
- 📘 Insulin Resistance Guide
- 📊 CGM Accuracy Series
- 🎙️ Episode 8: Activity for Post-Meal Glucose Control
- 📎 Episode 6: Ten Tips to Optimise Time in Range with AID.
Thanks for listening. Catch you soon in the CGM Series!
John Pemberton, The Glucose Never Lies Podcast
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