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HbA1c vs Fasting Glucose: Why the Results Disagree and Which to Trust

Normal fasting glucose but an HbA1c in the prediabetes range — or the other way round? It is one of the most common puzzles in test results, and it usually does not mean the laboratory made a mistake. The two tests measure different things (a single morning measurement versus a 2–3 month average that depends on the lifespan of red blood cells), and HbA1c is influenced by iron deficiency, vitamin B12 deficiency, hemoglobin variants, kidney disease and an individual rate of glycation. We explain where discrepancies come from, which result to believe when, how fructosamine and the CGM-derived GMI work, and what a safe order of further tests looks like.

Redakcja VitMode — Hormony i endokrynologiathe VitMode editorial team, no individual bylinesPublished13 min read
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Redakcja VitMode — Hormony i endokrynologia — the VitMode editorial team, no individual bylines
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Prepared from primary sources: clinical trials, meta-analyses and guidelines. We describe study findings separately from our interpretation.
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Cited PubMed papers are automatically checked for a matching identifier, title and publication year.
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Table of contents

Why do HbA1c and fasting glucose disagree? The short answer

A discrepancy can go in two directions. In the first, HbA1c is elevated (for example 5.8%) while fasting glucose is normal (for example 92 mg/dl). In the second, fasting glucose falls in the 100–125 mg/dl range while HbA1c is normal. Each situation has different typical explanations and different next steps, which we discuss below. In both cases it matters not to treat either result as the final word before ruling out confounding factors.

This article focuses on the causes of discrepancies and how to resolve them. The 100–125 mg/dl fasting glucose range itself is discussed in a separate article, and an encyclopedic account of the mechanism and interpretation of HbA1c can be found in the knowledge base. As for assessing insulin resistance with the HOMA-IR index, we write about it in the next text in this series.

What exactly each test measures and where the disagreement comes from

Fasting glucose describes the glucose concentration at one moment, after at least 8 hours without food. It depends on the liver's glucose production overnight, on insulin sensitivity at that hour, but also on short-term factors: sleep, stress, infection, the previous evening's dinner. HbA1c is the result of a non-enzymatic reaction: glucose attaches to hemoglobin in red blood cells in proportion to its concentration over time, so the result reflects average glycemia weighted toward the last weeks, including glucose after meals. A person with normal fasting glucose but high post-meal spikes may therefore have an elevated HbA1c, and vice versa.

On top of this comes the different variability of the tests themselves. In the study by Selvin et al. (2007) the within-person coefficient of variation was 5.7% for fasting glucose, 16.7% for glucose 2 hours into a tolerance test and 3.6% for HbA1c, which means HbA1c is the most stable of the three and a single fasting glucose clearly less so. A discrepancy therefore does not have to mean that HbA1c is the 'true' one — it may mean that a single glucose measurement simply caught a more or less typical morning.

The practical conclusion is that disagreement between HbA1c and fasting glucose is a population norm, not an exception. That is why the American Diabetes Association (ADA, 2025) standards provide that when two different tests give discordant results, the one whose result exceeds the diagnostic threshold is repeated, rather than averaging the two or assuming that the 'better' result is enough. In clinical practice an OGTT is often added to the workup when results are borderline or contradictory.

Red blood cell lifespan: why the same glucose gives different HbA1c

Hemoglobin is glycated more the longer the cell circulates in the blood, so HbA1c depends not only on average glucose but also on the average age of erythrocytes. In a person whose red cells live longer or turn over more slowly, HbA1c will be higher at the same glycemia; in a person whose red cells wear out quickly, lower. This variability in healthy people was shown in a study using biotin labelling.

This individual 'constant' is sometimes called the glycation gap (the difference between measured HbA1c and the value predicted from other measures, such as fructosamine) or the hemoglobin glycation index. In the study by Zafon et al. (2013) of 508 people with type 2 diabetes, in whom measurement was repeated after about 30 weeks, the glycation gap was reproducible and consistent over time, and independently related to creatinine, mean corpuscular hemoglobin concentration (MCHC), glycemia and treatment with metformin — patients taking metformin had a higher HbA1c at similar fructosamine. This result is observational and comes from a group of patients, but it shows that a discrepancy can be a trait of the person, not a coincidence.

Iron deficiency and HbA1c: the most common hidden culprit

What follows from this meta-analysis is practically significant: in a person with iron deficiency, HbA1c can be overstated by about 0.5–0.7 percentage points on average, enough to move a result of 5.3% to 6.0% (the prediabetes zone) with completely normal glycemia. The mechanism is not fully explained; the most often cited are changes in the red cell population, including a longer average age of erythrocytes in iron deficiency anemia, and increased glycation in that population. Importantly, the effect concerned not only overt anemia but also iron deficiency without anemia (see our entries on ferritin and on iron deficiency without anemia).

So if HbA1c is elevated and fasting glucose is normal, one of the first things to check is ferritin and the blood count (hemoglobin, MCV, RDW). Iron deficiency is common especially in women with heavy periods and in people on plant-based diets, so those are the groups in which it is most worth thinking of. After iron deficiency is corrected, HbA1c often falls, as the intervention studies confirm, but it must be remembered that iron treatment is a doctor's decision and requires confirmation of deficiency by tests.

Vitamin B12 deficiency, hemolysis, blood loss and other states that alter HbA1c

Megaloblastic anemia from vitamin B12 (and folate) deficiency lengthens red cell life and, like iron deficiency, can raise HbA1c. In the study by Aydin et al. (2022), involving 37 people without diabetes who had prediabetes by HbA1c and anemia from B12 deficiency, and 40 healthy volunteers, oral cyanocobalamin 1 mg daily for 3 months raised hemoglobin from 11.31 to 12.26 g/dl, and HbA1c fell from 6.01 to 5.77%. In 35% of patients after 3 months HbA1c no longer met the criterion for prediabetes. The authors conclude that correcting B12 deficiency before making a diagnostic or therapeutic decision based on HbA1c protects against misdiagnosis. This study was uncontrolled for placebo, so its value is moderate, but the direction of the effect is consistent with general knowledge about HbA1c.

In the opposite direction act states that shorten red cell life or speed up their turnover: hemolytic anemia, recent blood loss or transfusion, treatment with erythropoietin, and also some hemoglobinopathies. HbA1c is then often understated relative to true glycemia and can mask diabetes. The review by Radin (2014) describes these scenarios and alternative markers, which include fructosamine and glycated albumin. In chronic kidney disease, HbA1c is affected by shortened red cell life, anemia and treatment with erythropoiesis-stimulating agents, which makes interpreting HbA1c in advanced kidney disease harder and requires caution.

Hemoglobin variants and assay method: can this falsify the result?

A hemoglobin variant is a genetically altered form of the hemoglobin molecule. The most common are sickle cell trait (HbS), HbC and HbE, and thalassemias are also counted in this group. The effect of such a variant on the HbA1c result depends on the method the laboratory uses (chromatography, immunoassay, capillary electrophoresis): some methods are resistant to the most common variants, others give falsely raised or lowered results. Laboratories using certified methods usually have procedures for detecting variants and annotate the result, but the patient does not always know about this.

In practice it is worth asking the laboratory (or your doctor) what method was used to measure HbA1c, especially when the result strikingly departs from glucose, anemia, thalassemia or sickle cell disease runs in the family, or you come from a region with a high frequency of hemoglobinopathies. When a variant is suspected or HbA1c is unreliable, ADA standards advise relying in such conditions on plasma glucose-based criteria (fasting glucose, OGTT) rather than HbA1c.

Myth

HbA1c is always more accurate and reliable than fasting glucose, so if they differ, believe HbA1c.

Fact

HbA1c has lower within-person variability (about 3.6% versus 5.7% for fasting glucose), but it depends on red cell lifespan, iron and B12 deficiency, hemoglobin variants, kidney disease and the assay method. In the meta-analysis, iron deficiency anemia overstated HbA1c by 0.66 percentage points on average. Neither test is therefore 'always better' — confounding factors should be considered and, when results conflict, the test repeated or an OGTT performed.

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Fructosamine, glycated albumin and the CGM GMI: can they settle the discrepancy?

Fructosamine and glycated albumin reflect glycation of serum proteins, and hence glycemia over a shorter period, about 2–3 weeks instead of 2–3 months, and do not depend on red cell lifespan. For this reason they are sometimes used as additional markers when HbA1c is unreliable (e.g. in anemias and hemoglobinopathies). The review by Ribeiro et al. (2016) indicates that glycated albumin and fructosamine can provide additional information or a reliable measure when HbA1c does not hold up, and the shorter exposure period can be useful for detecting rapid changes. In a small study of 34 people with diabetes (Desouza et al., 2023), glycated albumin correlated with CGM time in range better than HbA1c and fructosamine. It must be remembered, however, that these markers have their own limitations (disorders of albumin and protein concentration, liver and kidney disease, thyroid hormones), do not have such well-established diagnostic thresholds as HbA1c, and are less available.

This result matters for CGM users without diabetes: the GMI shown in the app is not a 'home HbA1c' and in healthy people can be more than half a percentage point higher than the laboratory result. The index was developed and validated mainly in people with diabetes, so it should not be the basis for diagnostic decisions in healthy people. The GMI–HbA1c discrepancy arises from the same mechanisms as the HbA1c–glucose disagreement: differences in red cell lifespan and individual glycation rate, as well as the sensor's measurement error.

What to do when HbA1c and glucose disagree: a practical scheme

PatternMost common explanationsWhat to consider next
HbA1c elevated (5.7–6.4%), fasting glucose normalIron or B12 deficiency, post-meal glucose spikes (glucose intolerance), individually higher glycation, hemoglobin variantFerritin, blood count, B12; OGTT; family history of hemoglobinopathy; repeat HbA1c
Fasting glucose 100–125 mg/dl, HbA1c normalDaily and pre-analytical variability, dawn phenomenon, shorter red cell lifespan, early abnormalities that have not yet raised the averageRepeat glucose under standard conditions; OGTT; assessment of risk factors
HbA1c ≥6.5%, fasting glucose normalIron or B12 deficiency (overstating), post-meal glucose intolerance, true diabetes with predominant postprandial hyperglycemiaRepeat the above-threshold test (per ADA); OGTT; exclusion of confounders; medical consultation
Fasting glucose ≥126 mg/dl, HbA1c normalPre-analytical error, acute illness or stress, hemolytic anemia or blood loss (understated HbA1c), drugsRepeat glucose, OGTT; assess blood count and reticulocytes; medical consultation
Result unreliable in both tests, diabetes symptomsHemoglobinopathy, kidney disease, state after transfusionPlasma glucose and OGTT instead of HbA1c; fructosamine or glycated albumin; possibly CGM under medical supervision
Typical patterns of discrepancy and suggested next steps

It is important to resolve a discrepancy systematically and not pick the result that seems more favorable. If one test exceeds the diagnostic threshold for diabetes, it must not be ignored just because the other is 'nice'. So the standard is to repeat the test that gives a result in the disease range and, where there is no agreement, to extend the workup with an OGTT. Nor should one make independent decisions to change diet or supplementation (especially iron, which is harmful in excess) solely on the basis of a discrepancy in results.

When a discrepancy calls for consultation and what this article does not settle

HbA1c versus fasting glucose at a glance

QuestionShort answer
Why do the results differ?They measure different things: fasting glucose — a single morning; HbA1c — a 2–3 month average dependent on red cell lifespan
How well do the tests agree?Poorly: for diagnosis of diabetes by OGTT, agreement with HbA1c 34%, with fasting glucose 44% (NHANES, 7,412 people)
What is the effect of iron deficiency?Overstates HbA1c by about 0.66 percentage points on average (meta-analysis); after iron treatment a fall of about 0.5
And B12 deficiency?May overstate HbA1c; in a small study after treatment a fall from 6.01 to 5.77%
Is the CGM GMI a home HbA1c?No — in people without diabetes GMI was on average 0.59 percentage points higher than laboratory HbA1c
What to do with conflicting results?Rule out confounders (ferritin, blood count, B12), repeat the above-threshold test, consider an OGTT and medical consultation
Key facts about the discrepancy between HbA1c and fasting glucose

Our editorial recommendation

A discrepancy between HbA1c and fasting glucose is one of those results that is easy to take as a contradiction and that in reality carries additional information: about how a person responds to glucose after meals, about their iron and B12 status, about the lifespan of their red cells. It is therefore worth starting not with the question 'which to believe' but with 'why do they differ'. A simple blood count with ferritin and a B12 measurement often explains far more than further repeats of glucose alone, and when in doubt the most reliable arbiter is the OGTT.

Two tests that disagree are not an error in the results but a hint that the body is telling the same story in two different languages. Our job is to learn to translate them before we make a diagnosis.
VitMode editorial team

Frequently asked questions

The most common explanations are iron or vitamin B12 deficiency (which overstate HbA1c; in a meta-analysis, iron deficiency anemia raised it by 0.66 percentage points on average), large glucose spikes after meals with normal fasting glucose, an individually higher rate of glycation, and a hemoglobin variant. It is worth checking the blood count, ferritin and B12 and considering an OGTT.

A single fasting glucose measurement is more variable (about 5.7% within-person variability) than HbA1c (3.6%) and is vulnerable to pre-analytical errors, stress, infection or the dawn phenomenon. It also happens that a shorter red cell lifespan lowers HbA1c relative to true glycemia. It is worth repeating glucose under standard conditions and considering an OGTT.

Yes. A meta-analysis of 30 studies showed that iron deficiency anemia raises HbA1c by 0.66 percentage points on average, and iron treatment lowers it by about 0.5 percentage points on average. The effect also concerned latent iron deficiency. In practice it can move a result from normal into the prediabetes range, which is why, with a discrepancy, it is worth measuring ferritin and a blood count.

In people with anemia from B12 deficiency, yes, in a small study: after 3 months of taking 1 mg of cyanocobalamin daily, HbA1c fell from 6.01% to 5.77%, and in 35% of participants it no longer met the criterion for prediabetes. This concerns people with confirmed deficiency, however, not supplementation in everyone, and the decision about it should be made by a doctor after a B12 test.

Neither is clearly better. In a large population study, agreement of classifications between HbA1c, fasting glucose and OGTT was low, and combining fasting glucose with HbA1c improved the identification of diabetes and normal, but not of prediabetes. With borderline or conflicting results, an OGTT reduces the risk of misclassification.

No. GMI is a formula estimating HbA1c from mean sensor glucose, developed mainly in people with diabetes. In a study of 153 people without diabetes, GMI was on average 0.59 percentage points higher than laboratory HbA1c, and a discrepancy of ≥0.4 percentage points affected 71% of people. In healthy people GMI should not be used for diagnosis.

When red cell lifespan is altered or the HbA1c result is unreliable: in hemoglobinopathies, hemolytic anemia, recent blood loss or transfusion, erythropoietin treatment, advanced kidney disease and pregnancy. Diagnosis then rests on plasma glucose (fasting, OGTT), and additional information can come from fructosamine or glycated albumin, with the limitations described in the article.

Sources (10)

Sources are numbered. PubMed items are automatically verified (identifier, title, year).

  1. 1Tucker 2020 — Journal of Clinical MedicinePubMed
  2. 2Souza, Domingueti 2026 — Biochemia MedicaPubMed
  3. 3Cohen et al. 2008 — BloodPubMed
  4. 4Shah et al. 2023 — Diabetes Technology & TherapeuticsPubMed
  5. 5Aydin et al. 2022 — Northern Clinics of IstanbulPubMed
  6. 6Radin 2014 — Journal of General Internal MedicinePubMed
  7. 7Zafon et al. 2013 — PLoS ONEPubMed
  8. 8Ribeiro et al. 2016 — Current Diabetes ReviewsPubMed
  9. 9Desouza et al. 2023 — Journal of Clinical Endocrinology & MetabolismPubMed
  10. 10Selvin et al. 2007 — Archives of Internal MedicinePubMed
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Redakcja VitMode — Hormony i endokrynologia

VitMode editorial team — no individual bylines; content based on primary sources

VitMode Editorial — Hormones and Endocrinology is the VitMode editorial team responsible for: hormones, testosterone therapy, the thyroid and metabolism. The team has no individual bylines — texts are prepared by VitMode editors from primary sources (clinical trials, meta-analyses, guidelines). Every cited PubMed paper is automatically checked for a matching identifier, title and publication year. The content is educational and does not replace medical advice. Factual errors can be reported in a comment under the post or through the contact form; corrections are made by the editorial team.

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