Lab Med Online.  2014 Apr;4(2):71-76.

Comparison of the Characteristics of Patients with diabetes as Diagnosed Using Three Different Tests

Affiliations
  • 1Department of Laboratory Medicine, Hanyang University School of Medicine, Seoul, Korea. ikpark@hanyang.ac.kr

Abstract

BACKGROUND
Diabetes diagnosis can be made using different laboratory tests, including the fasting plasma glucose (FPG) test, 75-g 2-h oral glucose tolerance test (2-h OGTT), and hemoglobin A1c (HbA1c) test; however, these tests have different meanings. This study aimed at comparing patient characteristics based on the diagnosis using each of these 3 tests.
METHODS
A total of 750 adults suspected of having diabetes and aged > or =18 years underwent the following tests on the same day: FPG, 2-h OGTT, HbA1c, insulin, general chemistry, and routine urinalysis. The patients were divided into 8 groups based on the combination of positive and negative results of each of the 3 tests, and the characteristics of the patients were compared among groups.
RESULTS
In the group that tested positive for all 3 tests, the FPG, 2-h OGTT, HbA1c, homeostasis model assessment for insulin resistance, alanine transaminase, triglyceride, and urine glucose positive values were higher than those of the group that tested positive using the 2-h OGTT and HbA1c test. In the group that tested positive using the 2-h OGTT, blood urea nitrogen was higher than that of the group that tested positive using the HbA1c test.
CONCLUSIONS
The characteristics of the patients differed between the tests that yielded positive diagnostic results. This may be related to the fact that the 3 tests indicate different states of glucose metabolism. The results of the 3 tests were significantly different; therefore, it may be more effective to combine the results of the 3 tests to comprehensively describe patient characteristics.

Keyword

Diabetes mellitus; Diagnosis; Difference

MeSH Terms

Adult
Alanine Transaminase
Blood Glucose
Blood Urea Nitrogen
Chemistry
Diabetes Mellitus
Diagnosis
Fasting
Glucose
Glucose Tolerance Test
Homeostasis
Humans
Insulin
Insulin Resistance
Metabolism
Triglycerides
Urinalysis
Alanine Transaminase
Glucose
Insulin

Figure

  • Fig. 1 Venn diagram shown 8 groups of the patients classified by each results of separate three tests. Group A: All tests are negative.


Reference

1. Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabetes Care. 1997; 20:1183–1197.
2. American Diabetes Association. Standards of medical care in diabetes. Diabetes Care. 2010; 33:S1. S11–S61.
3. Nathan DM, Turgeon H, Regan S. Relationship between glycated haemoglobin levels and mean glucose levels over time. Diabetologia. 2007; 50:2239–2244.
Article
4. Nathan DM, Kuenen J, Borg R, Zheng H, Schoenfeld D, Heine RJ. A1c-Derived Average Glucose Study Group. Translating the A1C assay into estimated average glucose values. Diabetes Care. 2008; 31:1473–1478.
Article
5. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985; 28:412–419.
Article
6. Wallace TM, Levy JC, Matthews DR. Use and abuse of HOMA modeling. Diabetes Care. 2004; 27:1487–1495.
Article
7. National Diabetes Data Group. Classification and diagnosis of diabetes mellitus and other categories of glucose intolerance. Diabetes. 1979; 28:1039–1057.
8. American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2012; 35:S1. S64–S71.
9. Sacks DB. A1C versus glucose testing: a comparison. Diabetes Care. 2011; 34:518–523.
Article
10. Edelman SV. Type II diabetes mellitus. Adv Intern Med. 1998; 43:449–500.
11. Guyton AC, Hall JE, editors. Gyuton and Hall Textbook of Medical Physiology. 12th edition. Saunders: Elsevier;2011.
12. Esteghamati A, Noshad S, Khalilzadeh O, Khalili M, Zandieh A, Nakhjavani M. Insulin resistance is independently associated with liver aminotransferases in diabetic patients without ultrasound signs of nonalcoholic fatty liver disease. Metab Syndr Relat Disord. 2011; 9:111–117.
Article
13. Koskinen J, Magnussen CG, Kähönen M, Loo BM, Marniemi J, Jula A, et al. Association of liver enzymes with metabolic syndrome and carotid atherosclerosis in young adults. The Cardiovascular Risk in Young Finns Study. Ann Med. 2012; 44:187–195.
Article
14. Yun JE, Kim SY, Kang HC, Lee SJ, Kimm H, Jee SH. Alanine aminotransferase is associated with metabolic syndrome independently of insulin resistance. Circ J. 2011; 75:964–969.
Article
15. Gao F, Pan JM, Hou XH, Fang QC, Lu HJ, Tang JL, et al. Liver enzymes concentrations are closely related to prediabetes: findings of the Shanghai Diabetes Study II (SHDS II). Biomed Environ Sci. 2012; 25:30–37.
16. Angulo P. Nonalcoholic fatty liver disease. N Engl J Med. 2002; 346:1221–1231.
Article
17. Yueh CY, Chen JH, Lee LW, Lu CW, Parekh B, Chi CC. Elevated alanine aminotransferase is associated with metabolic syndrome but not consistently associated with impaired fasting glucose or type 2 diabetes mellitus. Diabetes Res Clin Pract. 2011; 94:64–70.
Article
18. Andres R. Aging and diabetes. Med Clin North Am. 1971; 55:835–846.
Article
19. Reaven GM. Does age affect glucose tolerance? Geriatrics. 1977; 32:51–54.
20. Carrera T, Bonamusa L, Almirall L, Navarro JM. Should age and sex be taken into account in the determination of HbA1c reference range? Diabetes Care. 1998; 21:2193–2194.
Article
21. Yang YC, Lu FH, Wu JS, Chang CJ. Age and sex effects on HbA1c. A study in a healthy Chinese population. Diabetes Care. 1997; 20:988–991.
Article
22. Burden ML, Basi M, Burden AC. HbA1c local reference ranges: Effects of age, sex and ethnicity. Practical Diabetes Int. 1999; 16:211–214.
Article
23. Inoue M, Inoue K, Akimoto K. Effects of age and sex in the diagnosis of type 2 diabetes using glycated haemoglobin in Japan: the Yuport Medical Checkup Centre study. PLoS One. 2012; 7:e40375.
Article
24. World Health Organization. Definition, diagnosis and classification of diabetes mellitus and its complications: report of a WHO consultation. Part 1: diagnosis and classification of diabetes mellitus. Geneva: World Health Organization;1999.
25. Lee YW, Cha YJ, Chae SL, Song J, Yun YM, Park HI, et al. Effectiveness of sodium fluoride as a glycolysis inhibitor on blood glucose measurement: comparison of blood glucose using specimens from the Korea National Health and Nutrition Examination survey. Korean J Lab Med. 2009; 29:524–528.
Article
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