Sağlıklı İnsanlarda Vücut Kitle İndeksi ile Sedimantasyon Arasındaki İlişki

Year 2021, Volume: 3 Issue: 3, 82 - 87, 14.10.2021

Recep Alanlı , Murat Bülent Küçükay , Kadir Serkan Yalçın

https://doi.org/10.52827/hititmedj.973882

Abstract

Amaç: Uzun yıllardır kullanılan ucuz, kolay ve hızlı bir test olan sedimantasyon hala birçok durumda tanıya yardımcı olmaktadır. Bu çalışmada, sağlıklı bireylerde sedimantasyon, kolesterol değerleri ve monosit yüksek dansiteli lipoprotein oranı (MHR) ile vücut kitle indeksi arasındaki ilişki değerlendirilmiştir.

Gereç ve Yöntem: Ocak 2020 ile Aralık 2020 tarihleri arasında; iç hastalıkları kliniğine belirgin şikayeti olmadan, rutin sağlık kontrolü ve check-up için başvuran 689 sağlıklı bireylerin sonuçları retrospektif olarak değerlendirilmiştir. Hastaların demografik özellikleri, vücut kitle indeksi ve kan parametreleri değerlendirilmiştir. Katılımcılar; vücut kitle indeksine
göre; Grup 1 (normal kilolu), Grup 2 (aşırı kilolu) ve Grup 3 (obez) olarak sınıflandırılmıştır.

Bulgular: Gruplar arasında; vücut kitle indeksi ile; boy, kilo, sedimantasyon değeri, glikoz, monosit sayısı, total kolesterol, düşük dansiteli lipoprotein, yüksek dansiteli lipoprotein dışı kolesterol ve MHR arasında anlamlı bir ilişki saptanmıştır. Kadınların sedimantasyon değeri erkeklerden anlamlı olarak fazla saptanmıştır. Vücut kitle indeksi ile sedimantasyon değeri (r=0.346, p=0.001), glikoz (r=0.239, p=0.001) ve monosit sayısı (r=0.096, p=0.013) arasında anlamlı bir korelasyon bulunmuştur.

Sonuç: Bu çalışmanın neticelerine göre sedimantasyon hızı sağlıklı bireylerde VKI ile ilişkili bir parametre olarak sağlıklı bireylerde inflamasyon şiddetini göstermek için kullanılabilir. Sedimantasyon değeri yüzyıl önce bulunmasına rağmen kullanışlılığını devam ettirmektedir.

Keywords

Beden kitle indeksi, HDL, Lipoprotein, Monosit, Sedimentasyon hızı

Supporting Institution

Yok

Project Number

Yok

Correlation between body mass index and erythrocyte sedimentation rates in healthy participants

Abstract

Objective: Erythrocyte sedimentation rate (ESR) is a cheap, fast and readily available test and its still being used for many medical conditions in order to help diagnosis and evaluation of diseases. In this study, association of ESR, cholesterol levels and monocyte to high density lipoprotein ratio (MHR) with body mass index were inspected in healthy population.

Material and Method: This study is an observational, retrospective study. It has been conducted in a university hospital with people admitting to internal medicine outpatient clinics between January 2020 and December 2020. Demographic characteristics, body mass indexes and laboratory parameters of 689 patients were evaluated. Participants were divided into three groups according to body mass indexes; Group 1 (normal weight), Group 2 (overweight), Group 3 (obese). Data obtained from three groups were compared.

Results: There were significant associations between body mass index and height, weight, ESR, glucose, monocyte counts, total cholesterol, low density lipoprotein, Non-HDL cholesterol and MHR among groups. ESR was significantly higher in women compared to men. There were significant correlations between body mass index and ESR (r=0.346, p=0.001), glucose (r=0.239, p=0.001) and monocyte count (r=0.096, p=0.013).

Conclusion: According to the results of this study, ESR is a parameter associated with BMI and it may reflect the magnitude of inflammation taking place in obesity. ESR was used for more than a century in evaluation of diseases and it still has a place in different medical disorders.

Keywords

Body mass index, Erythrocyte sedimentation rate, HDL, Lipoprotein, Lipoprotein, Monocyte

Project Number

Yok

References

• 1. Jou JM, Lewis SM, Briggs C et al. ICSH review of the measurement of the erythrocyte sedimentation rate. Int J Lab Hematol 2011;33:125-132.
• 2. Samocha-Bonet D, Lichtenberg D, Tomer A et al. Enhanced erythrocyte adhesiveness/aggregation in obesity corresponds to low-grade inflammation. Obes Res 2003;11:403-407.
• 3. Brigden M. The erythrocyte sedimentation rate. Still a helpful test when used judiciously. Postgrad Med 1998;103:257-262.
• 4. Asan N. Relationship of Cardiac Structures and Functions with Adiponectin, C-Reactive Protein and Interleukin-6 Levels in Obese Children. J Clin Exp Invest 2017;8:45-51.
• 5. de Maat MP, Pietersma A, Kofflard M, Sluiter W, Kluft C. Association of plasma fibrinogen levels with coronary artery disease, smoking and inflammatory markers. Atherosclerosis 1996; 121:185-191.
• 6. Imaizumi K, Shiga T. Effect of immunoglobulins and IgGfragments on the human erythrocyte aggregation, studied by rheoscope combined with image analyzer. Biorheology 1983; 20:569-577.
• 7. Weng X, Roederer GO, Beaulieu R, Cloutier G. Contribution of acute-phase proteins and cardiovascular risk factors to erythrocyte aggregation in normolipidemic and hyperlipidemic individuals. Thromb Haemost 1998;80:903-908.
• 8. Choi JW, Pai SH. Influences of hypercholesterolemia on red cell indices and erythrocyte sedimentation rate in elderly persons. Clin Chim Acta 2004;341:117-121.
• 9. Mottaghi T, Khorvash F, Khorvash F, Maracy M, Kheirrollahi M, Askari G. Association Between BMI and Inflammation Among Diabetic Polyneuropathy Patients. Int J Prev Med 2019;10: 212.
• 10. Friedrich K, Sommer M, Strobel S et al. Perturbation of the Monocyte Compartment in Human Obesity. Front Immunol 2019;10:1874.
• 11. Battaglia S, Scialpi N, Berardi E et al. Gender, BMI and fasting hyperglycaemia influence Monocyte to-HDL ratio (MHR) index in metabolic subjects. PLoS One 2020;15:e0231927.
• 12. Herkiloglu D, Gokce S. Correlation of monocyte/HDL ratio (MHR) with ınflammatory parameters in obese patients diagnosed with polycystic ovary syndrome. Ginekol Pol 2021;92:537-543.
• 13. Gostynski M, Gutzwiller F, Kuulasmaa K et al. WHO MONICA Project. Analysis of the relationship between total cholesterol, age, body mass index among males and females in the WHO MONICA Project. Int J Obes Relat Metab Disord 2004;28: 1082-1090.
• 14. Barbalho SM, Tofano RJ, de Oliveira MB et al. HDL-C and nonHDL-C levels are associated with anthropometric and biochemical parameters. J Vasc Bras 2019;18:e20180109.
• 15. Donma M , Erselcan S , Yilmaz A , Güzel S , Donma O . The evaluation of new generation inflammatory markers in children with morbid obesity and metabolic syndrome. Namık Kemal Tıp Dergisi 2020; 8: 479-488.
• 16. Siemons L, Ten Klooster PM, Vonkeman HE, van Riel PL, Glas CA, van de Laar MA. How age and sex affect the erythrocyte sedimentation rate and C-reactive protein in early rheumatoid arthritis. BMC Musculoskelet Disord 2014;15:368.
• 17. Fusman G, Mardi T, Justo D, et al. Red blood cell adhesiveness/aggregation, C-reactive protein, fibrinogen, and erythrocyte sedimentation rate in healthy adults and in those with atherosclerotic risk factors. Am J Cardiol 2002;90:561-563. 18. Kang YE, Kim JM, Joung KH et al. The role of adipokines, proinflammatory cytokines, and adipose tissue machrophages in obesity-associated insulin resistance in modest obesity and early metabolic dysfunction. PloS One 2016;11: e0154003.
• 19. Lau DC, Dhillon B, Yan H, Szmitko PE, Verma S. Adipokines: molecular links between obesity and atheroslcerosis. Am J Physiol Heart Circ Physiol 2005;288:H2031–H2041. 20. Probasco WV, Cefalu C Jr, Lee R, Lee D, Gu A, Dasa V. Prevalence of idiopathically elevated ESR and CRP in patients undergoing primary total knee arthroplasty as a function of body mass index. J Clin Orthop Trauma 2020;11:722-728.
• 21. Cohen E, Margalit I, Shochat T, Goldberg E, Krause I. Markers of Chronic Inflammation in Overweight and Obese Individuals and the Role of Gender: A Cross-Sectional Study of a Large Cohort. J Inflamm Res 2021;14:567-573.
• 22. Nicoletti G, Giugliano G, Pontillo A et al. Effect of a multidisciplinary program of weight reduction on endothelial functions in obese women. J Endocrinol Invest 2003;26:RC5-RC8.
• 23. Justo D, Marilus R, Mardi T et al . The appearance of aggregated erythrocytes in the peripheral blood of individuals with insulin resistance. Diabetes Metab Res Rev 2003;19:386- 391.
• 24. Khan IM, Pokharel Y, Dadu RT et al. Postprandial Monocyte Activation in Individuals With Metabolic Syndrome. J Clin Endocrinol Metab 2016 ;101:4195-4204.
• 25. Dincgez Cakmak B, Dundar B, Ketenci Gencer F, Aydin BB, Yildiz DE. TWEAK and monocyte to HDL ratio as a predictor of metabolic syndrome in patients with polycystic ovary syndrome. Gynecol Endocrinol 2019;35:66-71.
• 26. Alende-Castro V, Alonso-Sampedro M, Vazquez-Temprano N et al. Factors influencing erythrocyte sedimentation rate in adults: New evidence for an old test. Medicine (Baltimore) 2019;98:e16816.
• 27. Hussain A, Ali I, Kaleem WA, Yasmeen F. Correlation between Body Mass Index and Lipid Profile in patients with Type 2 Diabetes attending a tertiary care hospital in Peshawar. Pak J Med Sci 2019;35:591-597.
• 28. Hainer V, Aldhoon-Hainerová I. Obesity paradox does exist. Diabetes Care 2013;36 276-281.