LibrarianMeg said:Patient selection optimization for glycaemic control: emerging predictive biomarkers for GLP-1 agonist response include: Biomarker Association…
Complete metabolic panel trending on glycaemic control — sharing because comprehensive data helps everyone:
| Test | Baseline | Month 3 | Month 6 | Month 12 |
|---|---|---|---|---|
| Glucose (fasting) | 112 | 106 | 92 | 84 |
| Insulin (fasting) | 18 | 14 | 8 | 7 |
| HOMA-IR | 4.5 | 3.3 | 2.0 | 1.1 |
| Uric Acid | 8.0 | 6.2 | 5.9 | 4.8 |
The insulin resistance improvement (HOMA-IR) is what my endo focuses on most. Going from 4.5 to near 1.0 is a metabolic transformation.
MikeNYC_runner said:Fasting glucose improved within weeks and my HbA1c barely moved for three months, which I now understand and did not at the time.
My labs after 12 months on glycaemic control: A1C 5.0%, fasting glucose 90 mg/dL, fasting insulin 7 uIU/mL. My endo says these are "textbook perfect."
For context, my baseline A1C was 7.5% and fasting glucose was 125 mg/dL. The improvement has been dramatic and consistent.
Dr.PeteFamMed said:Complete metabolic panel trending on glycaemic control — sharing because comprehensive data helps everyone: Test Baseline Month 3 Month 6 Month 12…
Insulin sensitivity test (HOMA-IR) on glycaemic control — arguably the most important metabolic marker most people aren't tracking:
HOMA-IR = (fasting insulin × fasting glucose) ÷ 405
My numbers: Baseline HOMA-IR = 4.8 (insulin resistant) → Current = 1.0 (insulin sensitive)
Anything above 2.0 indicates insulin resistance. The goal is below 1.5. GLP-1 agonists address the root metabolic dysfunction, not just the symptoms. This is why they work so much better than calorie restriction alone.
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Did your prescriber agree with that reading, and if not what was their objection?
Dr.SurgeonPGH said:Insulin sensitivity test (HOMA-IR) on glycaemic control — arguably the most important metabolic marker most people aren't tracking: HOMA-IR = (fasting…
Glycemic variability as the key metric for glycaemic control success: my coefficient of variation (CV) on CGM dropped from 36% to 20%. Target is <36%, with <30% being ideal.
Why this matters more than average glucose: large glucose swings cause oxidative stress, endothelial damage, and promote advanced glycation end-products (AGEs). A flat glucose line at 95 mg/dL is metabolically healthier than oscillating between 60 and 160, even if the average is the same.