Evaluasi HbA1c, hs-CRP, dan indeks massa tubuh pada populasi sehat: Sebuah studi komunitas

https://doi.org/10.22146/jcoemph.44003

Arum Tri Wahyuningsih(1*), Fuad Anshori(2), Elizabeth Henny Herningtyas(3), Tri Ratnaningsih(4)

(1) Departemen Patologi Klinik dan Kedokteran Laboratorium, Fakultas Kedokteran, Kesehatan Masyarakat dan Keperawatan, Universitas Gadjah Mada, Yogyakarta, Indonesia
(2) Departemen Patologi Klinik dan Kedokteran Laboratorium, Fakultas Kedokteran, Kesehatan Masyarakat dan Keperawatan, Universitas Gadjah Mada, Yogyakarta, Indonesia
(3) Departemen Patologi Klinik dan Kedokteran Laboratorium, Fakultas Kedokteran, Kesehatan Masyarakat dan Keperawatan, Universitas Gadjah Mada, Yogyakarta, Indonesia
(4) Departemen Patologi Klinik dan Kedokteran Laboratorium, Fakultas Kedokteran, Kesehatan Masyarakat dan Keperawatan, Universitas Gadjah Mada, Yogyakarta, Indonesia
(*) Corresponding Author

Abstract


Insulin resistance as a cause of type 2 diabetes mellitus is associated with subclinical inflammatory processes. Insulin resistance with obesity, hypertension, and dyslipidemia contribute to metabolic syndrome that increased risk of cardiovascular disease. High sensitivity C-reactive protein (hs-CRP) is an inflammatory marker that is thought to be associated with both type 2 diabetes mellitus and cardiovascular disease. This study evaluated hs-CRP, HbA1c, and body mass index in a healthy community. This cross-sectional study is an observational analytic study evaluating the association between hs-CRP, HbA1c, and body mass index. The research subjects were all healthy on a community gathering in community service programs, and if there were any signs or symptoms of infection or inflammation, they would be excluded. Measurements of hs-CRP and HbA1c were carried out using the HPLC and ELISA methods, respectively. The measurement results were analyzed to evaluate the characteristics of the subject and assess the relationship between the parameters studied with different mean and correlation tests. In 25 subjects involved, it was found that 96% had an HbA1c value of <6.5% with a normal body mass index of 15 subjects (60%), and the rest were in the category of overweight. The median hs-CRP level was 2.99 mg / L (0.81-13.74 mg / L), with a low heart risk category of only 4% of all study subjects. There was no correlation between hs-CRP with HbA1c (r = 0.35; p = 0.868) and body mass index (r = 0.37; p = 0.069). Only one subject was included in the diabetes diagnostic criteria, but 96% of the study population had hs-CRP, which was included in the medium-risk and high-risk category for heart disease. There was no association between hs-CRP and HbA1c and body mass index in healthy populations in this community.


Keywords


HbA1c; hs-CRP; body mass index

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References

  1. Donath MY dan Shoelson SE. Type 2 diabetes as an inflammatory disease. Nature Reviews Immunology 2011; 11(2):98–107.
  2. Marikka Kuoppamaki, Marika Salminen, Tero Vahlberg, Kerttu Irjala, Sirkka-Liisa Kivela, Ismo Raiha. High sensitive C-reactive protein (hsCRP), cardiovascular events and mortality in the aged: A prospective 9-year follow-up study. Archives of Gerontology and Geriatrics 2015; 60:112–117
  3. Alexandra D. Ogorodnikova, Mimi Kim, Aileen P. McGinn, Paul Muntner, Unab Khan and Rachel P. Wildman. Incident cardiovascular Disease Events in Metabolically Benign Obese Individuals. Obesity 2012; 20:651–659. doi:10.1038/oby.2011.243
  4. Dekker JM, Girman C, Rhodes T, Nijpels G; Coen D, Stehouwer A, Bouter LM, Heine RJ. Metabolic Syndrome and 10-Year Cardiovascular Disease Risk in the Hoorn Study. Circulation 2005; 112:666-673.
  5. Freeman DJ, Norrie J, Caslake MJ, et al. C-reactive protein is an independent predictor of risk for the development of diabetes in the west of Scotland Coronary Prevention Study. Diabetes 2002; 51(5):1596–1600.
  6. Pearson TA, Mensah GA, Alexander RW, Anderson JL, Cannon RO 3rd, Criqui M, Fadl YY, Fortmann SP, Hong Y, Myers GL, Rifai N, Smith SC Jr, Taubert K, Tracy RP, Vinicor F; Centers for Disease Control and Prevention; American Heart Association: Markers of inflammation and cardiovascular disease: application to clinical and public health practice. A statement for health care professionals from the Centers for Disease Control and Prevention and the American Heart Association. Circulation 2003; 107:499–511.
  7. Schaumberg DA, Glynn RJ, Jenkins AJ, Lyons TJ, Rifai N, Manson JE, Ridker PM, Nathan DM: Effect of intensive glycemic control on levels of markers of inflammation in type 1 diabetes mellitus in the Diabetes Control and Complications Trial. Circulation 2005; 111:2446–2453
  8. King DE, Mainous AG III, Buchanan TA, Pearson WS: C-reactive protein and glycemic control in adults with diabetes. Diabetes Care 2003;26:1535–1539
  9. Wu T, Dorn JP, Donahue RP, Sempos CT, Trevisan M. Associations of Serum C-reactive Protein with Fasting Insulin, Glucose, and Glycosylated Hemoglobin: The Third National Health and Nutrition Examination Survey, 1988–1994. American Journal of Epidemiology, 2002; 155(1): 65–71.
  10. DeFronzo RA. Pathogenesis of Type 2 Diabetes Mellitus. Med Clin North Am, 2004; 88:787-835.
  11. Vazquez G, Duval S, Jacobs DR, Silventoinen K. Comparison of Body Mass Index, Waist Circumference, Waist/Hip Ratio in Predicting Incident Diabetes : A Meta-Analysis. Epidemio Rev, 2007; 29:115-128.
  12. Soo In Choi, Dawn Chung, Jung Soo Lim, Mi Young Lee, Jang Yel Shin, Choon Hee Chung, Ji Hye Huh. Relationship between Regional Body Fat Distribution and Diabetes Mellitus: 2008 to 2010 Korean National Health and Nutrition Examination Surveys. Diabetes Metab J2017;41:51-59. https://doi.org/10.4093/dmj.2017.41.1.51
  13. Danila Diano, Federico Ponti, Sara Guerri, Daniele Mercatelli, Michele Amadori, Maria Pilar Aparisi Gómez, Giuseppe Battista, Giuseppe Guglielmi, Alberto Bazzocchi. Upper and lower limbs composition: a comparison between anthropometry and dual-energy X-ray absorptiometry in healthy people. Arch Osteoporos2017; 12:78. DOI 10.1007/s11657-017-0374-8
  14. Ding D, Wang M, Su D, Hong C, Li X, Yang Y, et al. Body Mass Index, High-Sensitivity C- Reactive Protein and Mortality in Chinese with Coronary Artery Disease. PLoS ONE 2015; 10(8): e0135713. doi:10.1371/journal.pone.0135713.
  15. Keiko Arai, Hiroki Yokoyama, Fuminobu Okuguchi, Katsuya Yamazaki, et al. Association between Body Mass Index and Core Components of Metabolic Syndrome in 1486 Patients with Type 1 Diabetes Mellitus in Japan (JDDM 13). Endocrine Journal 2008, 55 (6), 1025–1032.
  16. Omair Yousuf, Bibhu D. Mohanty, Seth S. Martin, Parag H. Joshi, et al. High-Sensitivity C-Reactive Protein and Cardiovascular Disease - A Resolute Belief or an Elusive Link? J Am Coll Cardiol 2013;62:397–408
  17. Kansui Y, Matsumura K, Morinaga Y, et al. C‐reactive protein and incident hypertension in a worksite population of Japanese men. J Clin Hypertens. 2019;00:1–9. Doi: 10.1111/jch.13510
  18. Seyedian SM, Ahmadi F, Dabagh R, Davoodzadeh H. Relationship between high-sensitivity C-reactive protein serum levels and the severity of coronary artery stenosis in patients with coronary artery disease. ARYA Atheroscler 2016; 12(5): 231-7.
  19. Ridker PM. High-sensitivity C-reactive protein: potential adjunct for global risk assessment in the primary prevention of cardiovascular disease. Circulation. 2001;103(13):1813-8.
  20. Yao Liu, Yan-min Yang, Jun Zhu, Hui-qiong Tan, Yan Liang and Jian-dong Li. Prognostic significance of haemoglobin A1c level in patients hospitalized with coronary artery disease. A systematic review and meta-analysis. Cardiovascular Diabetology 2011, 10:98
  21. Tiejian Wu, Joan P. Dorn, Richard P. Donahue, Christopher T. Sempos, and Maurizio Trevisan. Associations of Serum C-reactive Protein with Fasting Insulin, Glucose, and Glycosylated Hemoglobin. Am J Epidemiol 2002;155:65–71.
  22. K. Norimatsu, S.i Miura, Y. Suematsu, Y. Shiga, Y. Miyase, A. Nakamura, M. Yamada, A. Matsunaga, K. Saku. Associations between glycated albumin or hemoglobin A1c and the presence of coronary artery disease. Journal of Cardiology 2015; 65:487–493



DOI: https://doi.org/10.22146/jcoemph.44003

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