Relationship Between A1C and Glucose Levels in the General Dutch Population
Open accessAbstract
OBJECTIVE: To investigate the relationship among A1C, fasting plasma glucose (FPG), and 2-h postload plasma glucose in the Dutch general population and to evaluate the results of using A1C for screening and diagnosis of diabetes. RESEARCH DESIGN AND METHODS: In 2006–2007, 2,753 participants of the New Hoorn Study, aged 40–65 years, who were randomly selected from the population of Hoorn, the Netherlands, underwent an oral glucose tolerance test (OGTT). Glucose status (normal glucose metabolism [NGM], intermediate hyperglycemia, newly diagnosed diabetes, and known diabetes) was defined by the 2006 World Health Organization criteria. Spearman correlations were used to investigate the agreement between markers of hyperglycemia, and a receiver operating characteristic (ROC) curve was calculated to evaluate the use of A1C to identify newly diagnosed diabetes. RESULTS: In the total population, the correlations between fasting plasma glucose and A1C and between 2-h postload plasma glucose and A1C were 0.46 and 0.33, respectively. In patients with known diabetes, these correlations were 0.71 and 0.79. An A1C level of ≥5.8%, representing 12% of the population, had the highest combination of sensitivity (72%) and specificity (91%) for identifying newly diagnosed diabetes. This cutoff point would identify 72% of the patients with newly diagnosed diabetes and include 30% of the individuals with intermediate hyperglycemia. CONCLUSIONS: In patients with known diabetes, correlations between glucose and A1C are strong; however, moderate correlations were found in the general population. In addition, based on the diagnostic properties of A1C defined by ROC curve analysis, the advantage of A1C compared with OGTT for the diagnosis of diabetes is limited.
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The IEC A1C criteria have recently been compared with testing with fasting glucose or OGTTs in various populations to diagnose diabetes and high-risk/pre-diabetes.
“The IEC A1C criteria have recently been compared with testing with fasting glucose or oral glucose tolerance tests (OGTTs) in various populations to diagnose diabetes (7–13) and high-risk/pre-diabetes (10,11,13), but the ADA A1C criteria have not been studied.”
From Screening for Diabetes and Pre-Diabetes With Proposed A1C-Based Diagnostic Criteria (2010) · cites this paper as [10]
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Herman, W. H., Ma, Y., Uwaifo, G., Haffner, S., Kahn, S. E., Horton, E. S., Lachin, J. M., Montez, M. G., Brenneman, T., Barrett-Connor, E., et al. (2007) · Diabetes Care · doi:10.2337/dc06-2003 · Cited by 574 · see citing works
A new look at screening and diagnosing diabetes mellitus
Saudek, C. D., Herman, W. H., Sacks, D. B., Bergenstal, R. M., Edelman, D., & Davidson, M. B. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-2174 · Cited by 432 · see citing works
Effect of Aging on A1C Levels in Individuals Without Diabetes
Pani, L. N., Korenda, L., Meigs, J. B., Driver, C., Chamany, S., Fox, C. S., Sullivan, L., D’Agostino, R. B., & Nathan, D. M. (2008) · Diabetes Care · doi:10.2337/dc08-0577 · Cited by 378 · see citing works
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Research works printed but not linked: 21
- [2]Nathan DM Singer DE Hurxthal K Goodson JD: The clinical information value of the glycosylated hemoglobin assay. N Engl J Med 1984; 310: 341– 346 6690962
- [3]Consensus Committee. Consensus statement on the worldwide standardization of the hemoglobin A1C measurement: the American Diabetes Association, European Association for the Study of Diabetes, International Federation of Clinical Chemistry and Laboratory Medicine, and the International Diabetes Federation. Diabetes Care 2007; 30: 2399– 2400 17726190
- [4]Nathan DM Kuenen J Borg R Zheng H Schoenfeld D Heine RJ: Translating the A1C assay into estimated average glucose values. Diabetes Care 2008; 31: 1473– 1478 18540046 PMC2742903
- [6]International Expert Committee. International Expert Committee report on the role of the A1C assay in the diagnosis of diabetes. Diabetes Care 2009; 32: 1327– 1334 19502545 PMC2699715
- [7]Rutten GEHM De Grauw WJC Nijpels G Goudswaard AN Uitewaal PJM Van der Does FEE Heine RJ Van Ballegooie E Verduijn MM Bouma M: NHG-standard diabetes mellitus type 2. Huisarts Wet 2006; 49: 137– 152 [in Dutch]
- [8]Rohlfing CL Wiedmeyer HM Little RR England JD Tennill A Goldstein DE: Defining the relationship between plasma glucose and HbA1c: analysis of glucose profiles and HbA1c in the Diabetes Control and Complications Trial. Diabetes Care 2002; 25: 275– 278 11815495
- [9]Buell C Kermah D Davidson MB: Utility of A1C for diabetes screening in the 1999–2004 NHANES population. Diabetes Care 2007; 30: 2233– 2235 17563338
- [10]Rohlfing CL Little RR Wiedmeyer HM England JD Madsen R Harris MI Flegal KM Eberhardt MS Goldstein DE: Use of GHb (HbA1c) in screening for undiagnosed diabetes in the U.S. population. Diabetes Care 2000; 23: 187– 191 10868829
- [11]Davidson MB Schriger DL Peters AL Lorber B: Relationship between fasting plasma glucose and glycosylated hemoglobin: potential for false-positive diagnoses of type 2 diabetes using new diagnostic criteria. JAMA 1999; 281: 1203– 1210 10199430
- [12]Glümer C Jørgensen T Borch-Johnsen K: Targeted screening for undiagnosed diabetes reduces the number of diagnostic tests: Inter99(8). Diabet Med 2004; 21: 874– 880 15270791
- [13]Perry RC Shankar RR Fineberg N McGill J Baron AD: the Early Diabetes Intervention Program (EDIP). HbA1c measurement improves the detection of type 2 diabetes in high-risk individuals with nondiagnostic levels of fasting plasma glucose: the Early Diabetes Intervention Program (EDIP). Diabetes Care 2001; 24: 465– 471 11289469
- [14]Khaw KT Wareham N Bingham S Luben R Welch A Day N: Association of hemoglobin A1c with cardiovascular disease and mortality in adults: the European prospective investigation into cancer in Norfolk. Ann Intern Med 2004; 141: 413– 420 15381514
- [15]Barr EL Boyko EJ Zimmet PZ Wolfe R Tonkin AM Shaw JE: Continuous relationships between non-diabetic hyperglycaemia and both cardiovascular disease and all-cause mortality: the Australian Diabetes, Obesity, and Lifestyle (AusDiab) study. Diabetologia 2009; 52: 415– 424 19130039
- [16]Modan M Meytes D Rozeman P Yosef SB Sehayek E Yosef NB Lusky A Halkin H: Significance of high HbA1 levels in normal glucose tolerance. Diabetes Care 1988; 11: 422– 428 3391093
- [17]Cohen RM Smith EP: Frequency of HbA1c discordance in estimating blood glucose control. Curr Opin Clin Nutr Metab Care 2008; 11: 512– 517 18542015
- [18]Cohen RM Snieder H Lindsell CJ Beyan H Hawa MI Blinko S Edwards R Spector TD Leslie RD: Evidence for independent heritability of the glycation gap (glycosylation gap) fraction of HbA1c in nondiabetic twins. Diabetes Care 2006; 29: 1739– 1743 16873773
- [20]Khera PK Joiner CH Carruthers A Lindsell CJ Smith EP Franco RS Holmes YR Cohen RM: Evidence for interindividual heterogeneity in the glucose gradient across the human red blood cell membrane and its relationship to hemoglobin glycation. Diabetes 2008; 57: 2445– 2452 18591386 PMC2518496
- [21]Cohen RM Franco RS Khera PK Smith EP Lindsell CJ Ciraolo PJ Palascak MB Joiner CH: Red cell lifespan heterogeneity in hematologically normal people is sufficient to alter HbA1c. Blood 2008; 112: 4284– 4291 18694998 PMC2581997
- [23]Kilpatrick ES Rigby AS Atkin SL: Variability in the relationship between mean plasma glucose and HbA1c: implications for the assessment of glycemic control. Clin Chem 2007; 53: 897– 901 17384010
- [24]Selvin E Crainiceanu CM Brancati FL Coresh J: Short-term variability in measures of glycemia and implications for the classification of diabetes. Arch Intern Med 2007; 167: 1545– 1551 17646610
- [25]de Vegt F Dekker JM Stehouwer CD Nijpels G Bouter LM Heine RJ: Similar 9-year mortality risks and reproducibility for the World Health Organization and American Diabetes Association glucose tolerance categories: the Hoorn Study. Diabetes Care 2000; 23: 40– 44 10857966
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- Authors
- van 't Riet, E., Alssema, M., Rijkelijkhuizen, J. M., Kostense, P. J., Nijpels, G., & Dekker, J. M.
- Affiliations
- EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands;
- Amsterdam Public Health (NL)
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2009-10-06
- Volume
- 33
- Issue
- 1
- Pages
- 61-66
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC2797987
- OpenAlex
- W2037981927
- Cited by
- 199
- References
- 3
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 8 · 2023: 12 · 2022: 6 · 2021: 7 · 2020: 7 · 2019: 4 · 2018: 12 · 2017: 13 · 2016: 11 · 2015: 15 · 2014: 17 · 2013: 19 · 2012: 21
- FWCI
- 15.78
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetes Care (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- HbA1c, fasting blood glucose, diabetes diagnosis, diabetes screening, oral glucose tolerance test, prediabetes, diagnostic accuracy, cut-off values, general population
- MeSH terms
- Adult, Aged, Blood Glucose, Diabetes Mellitus, Female, Glucose Tolerance Test, Glycated Hemoglobin, Humans, Male, Middle Aged, Netherlands, White People
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