Insulin levels — fasting insulin as a metabolic health marker

Dr.KarenChen said:

HbA1c reflects roughly three months of average glycaemia weighted toward the most recent weeks, which is why repeating it at six weeks tells you very…

Glycemic variability as the key metric for glycaemic control success: my coefficient of variation (CV) on CGM dropped from 42% 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.

Dr.KarenChen said:

HbA1c reflects roughly three months of average glycaemia weighted toward the most recent weeks, which is why repeating it at six weeks tells you very…

My labs after 9 months on glycaemic control: A1C 5.9%, fasting glucose 89 mg/dL, fasting insulin 4 uIU/mL. My endo says these are "textbook perfect."

For context, my baseline A1C was 7.3% and fasting glucose was 134 mg/dL. The improvement has been dramatic and consistent.

Dr.PeteFamMed said:

My labs after 9 months on glycaemic control: A1C 5.9%, fasting glucose 89 mg/dL, fasting insulin 4 uIU/mL.

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.

Dr.ObesityMed said:

Glycemic variability as the key metric for glycaemic control success: my coefficient of variation (CV) on CGM dropped from 42% to 20%.

This is my experience too, for whatever a second data point is worth. Posting only so the count is not one.