Why doesn’t my average blood glucose match my A1C?!

One Drop
The Drop
Published in
5 min readMay 31, 2016

So, you test your meter for accuracy and everything looks good. You take your average BG and convert it to A1C using a table, calculator, or equation you find online. Then, you get your blood work done and learn that your actual A1C is …

Not even close! What’s the deal?

As it turns out, the relationship between average BG and A1C isn’t as clear as most of us think. After doing some research, I came across a couple reasons why someone’s actual A1C may be higher or lower than expected…

But before we get into that, let’s briefly go over why A1C is used to approximate average glucose over ~3 months:

  • As glucose enters your blood, it attaches to a protein in your red blood cells called “hemoglobin.”
  • Hemoglobin is the same protein that carries oxygen in your bloodstream, and it is what gives blood its red color
  • A1C measures the total amount of glucose that has attached to your hemoglobin over the lifespan of your red blood cells (typically ~3 months).

OK, now that we’ve got the science down, here’s why your average BG and lab-measured A1C values might not match up:

1. BG meter average does not usually reflect the average over a full 24 hours

This reason is pretty obvious. If you are not on a CGM, it’s tough to get a full picture of your average blood glucose throughout the day. We generally test much more during the day than at night, and nighttime glucose values may be very different from daytime values. We also tend to test more often before eating (when glucose is typically lower), and less often after meals (when glucose is typically higher).

So, for most people, BG meter average doesn’t accurately reflect average blood glucose over a full 24 hours. A1C, on the other hand, does.

If you want your BG meter average to better reflect your A1C values, check more often! And make sure you check at various times throughout the day, including 1–3 hours after eating.

2. The Average BG to A1C conversion equation is not perfect

Most (if not all) average BG to A1C conversion tables and calculators use the below equation to estimate A1C:

Average BG (mg/dL) = 28.7 X A1C (%) — 46.7

This equation is based on data from a 2008 study of over 500 subjects (268 T1Ds, 159 T2Ds, and 80 non-diabetics) at 10 international centers around the world. The A1C values were all measured in a central laboratory, so differences in laboratory method or technique were not a factor. People were studied for 12 weeks, with two days of CGM and three days of 7-point glucose profiles each week. The BG meters used were carefully standardized and calibrated.

The graph below shows the data used to derive the relationship between average glucose and A1C. As you can see, there is A LOT of scatter. A number of data points are off the trend line by ± 1%. And for some A1C values, the spread is enormous… Check out the range of A1Cs for people with an average glucose of ~110 mg/dL — it goes from below 4% to almost 9%!

So, importantly, the study concluded that the equation could be used to convert A1C to average blood glucose values for “most patients.” Not all patients, just “most.”

Results of a study of 507 subjects. Published in Diabetes Care 31:1473–1478, 2008.

OK… But why do so many people have A1C values that don’t follow the equation?

Answer: Biological variation.

As it turns out, the biological processes that dictate A1C are not exactly the same for everyone.

The rate that glucose attaches to hemoglobin can vary significantly from person to person:

  • For some people, glucose attaches to hemoglobin very quickly. So even if their average blood glucose is 154 mg/dL (which would yield an estimated A1C of 7% using the above equation), their actual A1C may 8% or even higher.
  • For others, glucose attaches to hemoglobin very slowly, and for the same average glucose of 154 mg/dL, they may have an actual A1C value in the 6% range or lower.

The rate of red blood cell turnover varies from person to person:

  • For some, red blood cells turnover much faster than the typical ~3 months. The faster red blood cells turn over, the less hemoglobin can attach before the red blood cells die, which may lead to a lower-than-expected A1C result.
  • For others, red blood cells live much longer than the typical ~3 months. The longer the cells live, the more glucose can attach to the hemoglobin, which may lead to a higher-than-expected A1C result.

Various other factors may also be at play, such as:

  • People who give blood, have any internal bleeding, or have some sort of anemia where the red cells break down faster than normal, will lose some older red blood cells with lots of glucose attached to the hemoglobin. As a result, the body will make new red blood cells with glucose-free hemoglobin and the A1C % will be lower than expected.
  • People with spleen damage (or whose spleen has been surgically removed) may have more of the older red blood cells, because the spleen is responsible for removing older red blood cells from the body. As a result, these people may have a higher A1C % than expected.

It’s important to note here that A1C is not an perfect predictor of your risk of diabetes complications. It only predicts your complication risk if it accurately represents your average blood glucose. So, if there’s reason to believe that your A1C isn’t a good proxy for blood glucose, you and your health care team should not base your diabetes management plan on your A1C. Instead, your plan should be based on your CGM average or BG meter average (assuming you’ve collected enough blood glucose values at various times out throughout the day).

Bottom Line: Your average blood glucose is not really intended to predict your A1C. Rather, A1C is supposed to provide a way to estimate your average blood glucose over time. Any A1C-based prediction may be off by as much as 20 to 25 mg/dL. For some people, it may make more sense to base diabetes treatment decisions off of their BG meter average than their laboratory-measured A1C.

Written by Rachel Sanchez (@onedroprachel). Originally published at onedrop.today on May 31, 2016.

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