My A1C dropped so fast my doctor thought the lab made an error

Dr.KarenChen said:

Insulin sensitivity test (HOMA-IR) on glycaemic control — arguably the most important metabolic marker most people aren't tracking: HOMA-IR = (fasting…

Complete metabolic panel trending on glycaemic control — sharing because comprehensive data helps everyone:

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.

A1cHero_PHX said:

A1C went from 7.4 to 5.6 over nine months and my prescriber was more interested in the fasting insulin, which I did not expect.

Fasting insulin is the lab my functional medicine doctor cares about most for glycaemic control: it's a much earlier marker of metabolic dysfunction than glucose or A1C.

My fasting insulin: 27 → 13 → 7 uIU/mL over 9 months. Target is <7. By the time your fasting glucose is elevated, your insulin has been elevated for YEARS trying to compensate.

Ask your doctor to include fasting insulin in your bloodwork panel. It's cheap (~$20) and incredibly informative.

NurseKim_ATL said:

Complete metabolic panel trending on glycaemic control — sharing because comprehensive data helps everyone: Test Baseline Month 3 Month 6 Month 12…

Glycemic variability as the key metric for glycaemic control success: my coefficient of variation (CV) on CGM dropped from 39% to 18%. 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.

Following on from FDA_TrackerJim — and this may be the naive question:

Did your prescriber agree with that reading, and if not what was their objection?

PharmD_Rodriguez said:

Glycemic variability as the key metric for glycaemic control success: my coefficient of variation (CV) on CGM dropped from 39% to 18%.

Patient selection optimization for glycaemic control: emerging predictive biomarkers for GLP-1 agonist response include:

The 4-week early responder criterion is the most clinically actionable: if you haven't lost ≥3% by week 4 at a therapeutic dose, discuss optimization strategies with your provider.