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OBEZ HASTALARDA BEDEN KİTLE İNDEKSİ VE ATEROJENİK İNDEKSİN RETINAL MİKROVASKÜLER YAPI ÜZERİNE ETKİLERİ

Year 2023, , 287 - 294, 30.06.2023
https://doi.org/10.31832/smj.1260292

Abstract

Amaç: Bu çalışmada, obez hastalarda retinal mikrovasküler yapısında meydana gelen değişiklikleri değerlendirmeyi ve bu değişikliklerin klinik özelliklerle ilişkisini belirlemeyi amaçladık.
Gereç ve Yöntemler: Tüm katılımcılarda kolesterol, açlık kan şekeri, açlık insülini,CRP ve HbA1C düzeylerini içeren biyokimyasal incelemeler yapıldı. Plazma aterojenik indeksi(AI) plazma trigliserid (TG) düzeyinin yüksek yoğunluklu lipoprotein (HDL) düzeyine oranının logaritması [log (TG/HDL-K)] olarak hesaplandı. Vücut Kitle İndeksi (VKİ) ≤25 kg/m2 olan hastalar kontrol grubuna dahil edildi. Obez hastalar VKİ'lerine göre üç gruba ayrıldı: grup 1 (VKİ: 30-34,99 kg/m2), grup 2 (VKİ: 35-39.99 kg/m2) ve grup 3 (VKİ ≥ 40 kg/m2) . Optik koherens tomografi anjiografi (OKT-A) ile foveal avasküler zon (FAZ), makulada yüzeyel ve derin kapiller pleksusun damar dansitesi (VD) ile radial peripapiller kapiller pleksus VD ölçüldü.
Bulgular: Çalışmaya 27 kontrol ve 83 obez hasta olmak üzere toplam 110 hasta dahil edildi. Kontrol vakalarına kıyasla obez hastalarda HbA1C, açlık insülini, HOMA-IR, C-reaktif protein ve AI seviyeleri anlamlı derecede yüksekti. Obez hastalarda retinanın yüzeyel (p=0,003) ve derin (p=0,001)VD'leri anlamlı olarak azaldı ve FAZ anlamlı olarak arttı (p=0,032). Klinik özellikler ile OKT-A bulguları arasında yapılan korelasyon analizinde yüzeyel ve derin VD'ler yaş, VKİ, HbA1C ve AI ile ters orantılıydı.
Sonuç: Obez hastalarda retina yüzeyel ve derin VD'leri azalmıştı ve retinal VD'ler ile yaş, VKI, HbA1C ve AI arasında ters bir ilişki vardı.

References

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  • 2. Taqueti VR, Di Carli MF. Coronary Microvascular Disease Pathogenic Mechanisms and Therapeutic Options: JACC State-of-the-Art Review. J Am Coll Cardiol. 2018;27;72(21):2625-2641.
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  • 4. Candela J, Velmurugan GV, White C. Hydrogen sulfide depletion contributes to microvascular remodeling in obesity. Am J Physiol Heart Circ Physiol. 2016;1;310(9):H1071-80.
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  • 6. Houben AJHM, Martens RJH, Stehouwer CDA. Assessing Microvascular Function in Humans from a Chronic Disease Perspective. J Am Soc Nephrol. 2017;28(12):3461-3472.
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  • 11. Mojiminiyi OA, Abdella NA. Effect of homeostasis model assessment computational method on the definition and associations of insulin resistance. Clin Chem Lab Med. 2010; 48:1629-1634.
  • 12. Dobiasova M, Frohlich J. The plasma parameter log (TG/HDL-C) as an atherogenic index: correlation with lipoprotein particle size and esterification rate in apoB-lipoprotein-depleted plasma (FER(HDL)) Clin Biochem. 2001;34:583–588.
  • 13. Köchli S, Endes K, Infanger D, Zahner L, Hanssen H. Obesity, Blood Pressure, and Retinal Vessels: A Meta-analysis. Pediatrics. 2018;141(6):e20174090.
  • 14. Boillot A, Zoungas S, Mitchell P, Klein R, Klein B, Ikram MK et al. META-EYE Study Group. Obesity and the microvasculature: a systematic review and meta-analysis. PLoS One. 2013;8(2):e52708.
  • 15. Krasnicki P, Dmuchowska DA, Proniewska-Skretek E, Dobrzycki S, Mariak Z. Ocular haemodynamics in patients with type 2 diabetes and coronary artery disease. Br J Ophthalmol. 2014;98(5):675-8.
  • 16. Shankar A , Sabanayagam C, Klein BEK, Klein R. Retinal microvascular changes and the risk of developing obesity: population-based cohort study. Microcirculation. 2011; 18(8): 655–662.
  • 17. Sörensen BM, Houben AJHM, Berendschot TTJM, Schouten JSAG, Kroon AA, van der Kallen CJH et al. Cardiovascular risk factors as determinants of retinal and skin microvascular function: The Maastricht Study. PLoS One. 2017; 27;12(10):e0187324.
  • 18. Xiao W, Guo X, Ding X, He M. Serum lipid profiles and dyslipidaemia are associated with retinal microvascular changes in children and adolescents. Sci Rep. 2017;20;7:44874.
  • 19. Juárez-Pérez CA, Aguilar-Madrid G, Haro-García LC, Gopar-Nieto R, Cabello-López A, Jiménez-Ramírez C et. al. Increased Cardiovascular Risk Using Atherogenic Index Measurement Among Healthcare Workers. Arch Med Res. 2015;46(3):233-9.
  • 20. Selvin E, Steffes MW, Zhu H, Matsushita K, Wagenknecht L, Pankow J et. al. Glycated hemoglobin, diabetes, and cardiovascular risk in nondiabetic adults.N Engl J Med. 2010;4; 362(9):800-11.
  • 21. Genest J, McPherson R, Frohlich J, Anderson T, Campbell N, Carpentier A et al. 2009 Canadian Cardiovascular Society/Canadian guidelines for the diagnosis and treatment of dyslipidemia and prevention of cardiovascular disease in the adult - 2009 recommendations. Can J Cardiol. 2009;25(10):567–579.
  • 22. MacNamara J, Eapen DJ, Quyyumi A, Sperling L. Novel biomarkers for cardiovascular risk assessment: current status and future directions. Future Cardiol. 2015;11(5):597-613.
  • 23. Karakas M, Koenig W. CRP in cardiovascular disease. Herz. 2009;34(8):607-13.
Year 2023, , 287 - 294, 30.06.2023
https://doi.org/10.31832/smj.1260292

Abstract

References

  • 1. Zhu ZM. Obesity related cardiovascular risk and its appropriate intervention. Chin J Endocrinol Metab. 2011;27:707–710.
  • 2. Taqueti VR, Di Carli MF. Coronary Microvascular Disease Pathogenic Mechanisms and Therapeutic Options: JACC State-of-the-Art Review. J Am Coll Cardiol. 2018;27;72(21):2625-2641.
  • 3. Davel AP, Lu Q, Moss ME, Rao S, Anwar IJ, DuPont JJ et. al. Sex-Specific Mechanisms of Resistance Vessel Endothelial Dysfunction Induced by Cardiometabolic Risk Factors. J Am Heart Assoc. 2018;16;7(4):e007675.
  • 4. Candela J, Velmurugan GV, White C. Hydrogen sulfide depletion contributes to microvascular remodeling in obesity. Am J Physiol Heart Circ Physiol. 2016;1;310(9):H1071-80.
  • 5. Fernández-Macías JC, Ochoa-Martínez AC, Varela-Silva JA, Pérez-Maldonado IN. Atherogenic Index of Plasma: Novel Predictive Biomarker for Cardiovascular Illnesses. Arch Med Res. 2019;50(5):285-294.
  • 6. Houben AJHM, Martens RJH, Stehouwer CDA. Assessing Microvascular Function in Humans from a Chronic Disease Perspective. J Am Soc Nephrol. 2017;28(12):3461-3472.
  • 7. Nguyen TT, Wong TY. Retinal vascular manifestations of metabolic disorders. Trends Endocrinol Metab. 2006;17(7):262-8.
  • 8. Liew G, Wang JJ, Mitchell P, Wong TY. Retinal vascular imaging: a new tool in microvascular disease research. Circ Cardiovasc Imaging. 2008;1:156–161
  • 9. Seidelmann SB, Claggett B, Bravo PE, Gupta A, Farhad H, Klein BE et. al. Retinal vessel calibers in predicting long-term cardiovascular outcomes: the Atherosclerosis Risk in Communities Study. Circulation. 2016;134(18):1328–1338.
  • 10. Yilmaz H, Karakurt Y, Icel E, Ugurlu A, Ucak T, Tasli NG et . al. Normative Data Assessment of Vessel Density and Foveal Avascular Zone Metrics Using AngioScan Software. Curr Eye Res. 2019;44(12):1345-1352.
  • 11. Mojiminiyi OA, Abdella NA. Effect of homeostasis model assessment computational method on the definition and associations of insulin resistance. Clin Chem Lab Med. 2010; 48:1629-1634.
  • 12. Dobiasova M, Frohlich J. The plasma parameter log (TG/HDL-C) as an atherogenic index: correlation with lipoprotein particle size and esterification rate in apoB-lipoprotein-depleted plasma (FER(HDL)) Clin Biochem. 2001;34:583–588.
  • 13. Köchli S, Endes K, Infanger D, Zahner L, Hanssen H. Obesity, Blood Pressure, and Retinal Vessels: A Meta-analysis. Pediatrics. 2018;141(6):e20174090.
  • 14. Boillot A, Zoungas S, Mitchell P, Klein R, Klein B, Ikram MK et al. META-EYE Study Group. Obesity and the microvasculature: a systematic review and meta-analysis. PLoS One. 2013;8(2):e52708.
  • 15. Krasnicki P, Dmuchowska DA, Proniewska-Skretek E, Dobrzycki S, Mariak Z. Ocular haemodynamics in patients with type 2 diabetes and coronary artery disease. Br J Ophthalmol. 2014;98(5):675-8.
  • 16. Shankar A , Sabanayagam C, Klein BEK, Klein R. Retinal microvascular changes and the risk of developing obesity: population-based cohort study. Microcirculation. 2011; 18(8): 655–662.
  • 17. Sörensen BM, Houben AJHM, Berendschot TTJM, Schouten JSAG, Kroon AA, van der Kallen CJH et al. Cardiovascular risk factors as determinants of retinal and skin microvascular function: The Maastricht Study. PLoS One. 2017; 27;12(10):e0187324.
  • 18. Xiao W, Guo X, Ding X, He M. Serum lipid profiles and dyslipidaemia are associated with retinal microvascular changes in children and adolescents. Sci Rep. 2017;20;7:44874.
  • 19. Juárez-Pérez CA, Aguilar-Madrid G, Haro-García LC, Gopar-Nieto R, Cabello-López A, Jiménez-Ramírez C et. al. Increased Cardiovascular Risk Using Atherogenic Index Measurement Among Healthcare Workers. Arch Med Res. 2015;46(3):233-9.
  • 20. Selvin E, Steffes MW, Zhu H, Matsushita K, Wagenknecht L, Pankow J et. al. Glycated hemoglobin, diabetes, and cardiovascular risk in nondiabetic adults.N Engl J Med. 2010;4; 362(9):800-11.
  • 21. Genest J, McPherson R, Frohlich J, Anderson T, Campbell N, Carpentier A et al. 2009 Canadian Cardiovascular Society/Canadian guidelines for the diagnosis and treatment of dyslipidemia and prevention of cardiovascular disease in the adult - 2009 recommendations. Can J Cardiol. 2009;25(10):567–579.
  • 22. MacNamara J, Eapen DJ, Quyyumi A, Sperling L. Novel biomarkers for cardiovascular risk assessment: current status and future directions. Future Cardiol. 2015;11(5):597-613.
  • 23. Karakas M, Koenig W. CRP in cardiovascular disease. Herz. 2009;34(8):607-13.
There are 23 citations in total.

Details

Primary Language Turkish
Subjects Health Care Administration
Journal Section Articles
Authors

Erel İçel 0000-0001-7150-5581

Nergis Akbaş 0000-0002-7236-1767

Emin Murat Akbaş 0000-0002-3033-0073

Aykut İçel 0000-0002-4773-0831

Yusuf Kemal Arslan 0000-0003-1308-8569

Early Pub Date June 29, 2023
Publication Date June 30, 2023
Submission Date March 6, 2023
Published in Issue Year 2023

Cite

AMA İçel E, Akbaş N, Akbaş EM, İçel A, Arslan YK. OBEZ HASTALARDA BEDEN KİTLE İNDEKSİ VE ATEROJENİK İNDEKSİN RETINAL MİKROVASKÜLER YAPI ÜZERİNE ETKİLERİ. Sakarya Tıp Dergisi. June 2023;13(2):287-294. doi:10.31832/smj.1260292

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