Journals / Dicle Tıp Dergisi / 2013 / Cilt: 40 - Sayı: 4

The relationship between subclinic atherosclerosis and red cell distribution width in patients with metabolic syndrome

Metabolik sendromlu hastalarda eritrosit dağılım genişliğinin subklinik ateroskleroz ile ilişkisi

Pages
579–584
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Conclusion: In our study, we found that RDW was not different in the MetS patients with CIMT&#8805;1.0 mm compared with the MetS patients with CIMT<1.0 mm.

📌 3 Key Takeaways

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Objective & Hypothesis:Objectıve: We have investigated the possible association between red cell distribution width (RDW) and subclinic atherosclerosis which can assessed by carotid intima-media thickness (CIMT) measurement in patients with metabolic syndrome (MetS).
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Key Findings & Data:Methods: 74 patients with MetS were enrolled to the study.
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Conclusion & Impact:Conclusion: In our study, we found that RDW was not different in the MetS patients with CIMT&#8805;1.0 mm compared with the MetS patients with CIMT<1.0 mm.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Objectıve: We have investigated the possible association between red cell distribution width (RDW) and subclinic atherosclerosis which can assessed by carotid intima-media thickness (CIMT) measurement in patients with metabolic syndrome (MetS). Methods: 74 patients with MetS were enrolled to the study. Patients were divided into 2 groups according to carotid intima-media thickness (CIMT) measurement: 35 patients with CIMT&#8805;1.0 mm were at group 1 and 39 patients with CIMT<1.0 mm were at group 2. RDW were measured using an automated blood cell counter. Results: The RDW level was not statistically significant in patients with CIMT&#8805;1,0 mm than in patients with CIMT<1,0 mm (13.73±0.79% vs. 13.77±1.04 %; p=0.85). Conclusion: In our study, we found that RDW was not different in the MetS patients with CIMT&#8805;1.0 mm compared with the MetS patients with CIMT<1.0 mm.

Özet

Amaç: Çalışmamızda Metabolik sendrom (MetS)lu hastalarda karotis intima-media kalınlığı (KİMK) ölçümü ile değerlendirilen subklinik ateroskleroz ile eritrosit dağılım genişliği (EDG) arasında ilişki olup olmadığını araştırdık Yöntemler: Çalışmaya MetSlu 74 hasta alındı. Hastalar KİMK ölçümüne göre, KİMK≥1,0 mm olan 35 hasta grup 1, KİMK<1,0 mm olan 39 hasta ise grup 2 olarak ikiye ayrıldı. Otomatik kan sayım cihazı ile EDG ölçüldü. Bulgular: KİMK≥1,0 mm ve KİMK<1,0 mm olan grup arasında EDG açısından anlamlı fark saptanmadı (%13,73±0,79 ve %13,77±1,04; p=0,85). Sonuç: Çalışmamızda KİMK≥1.0 mm ve KİMK<1,0 mm olan MetSlu hastalar arasında EDG değerleri açısından fark saptanmadı.

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Cite This Article

GÜLCAN, A. R., KARAKAŞ, M. S., AKDEMİR, B., UÇAR, M., ALTEKİN, R. E., YILMAZ, H. (2013). The relationship between subclinic atherosclerosis and red cell distribution width in patients with metabolic syndrome. Dicle Tıp Dergisi, Cilt: 40 - Sayı: 4, 579–584. https://ajindex.com/articles/349019

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References (13)

  1. Reaven G. Insulin resistance, compensatory hyperinsulinemia and coronary heart disease: Syndrome X revisited. In Jefferson LS, Cherrington AD, eds. Handbook of Physiology, Section 7, The Endocrine System, Vol II, The Pancreas and Regulation of Metabolism. New York: Oxford University Press, 2001, pp 1169–1197
  2. Gami AS, Witt BJ, Howard DE, et al. Metabolic syndrome and risk of incident cardiovascular events and death: a systematic review and meta-analysis of longitudinal studies. J Am Coll Cardiol 2007;49:403-414
  3. Despres JP, Lamarche B, Mauriege P. Hyperinsulinemia as an independent risk factor for ischemic heart disease. N Engl J Med 1996;334:952–957
  4. Perkins SL. Examination of blood and bone marrow. In: Greer JP, Foerster J, Lukens JN, et al. eds. Wintrobe’s Clinical Hematology. 11th ed. Salt Lake City, UT: Lippincott Williams & Wilkins; 2003:5-25
  5. Dabbah S, Hammerman H, Markiewicz W, Aronson D. Relation between red cell distribution width and clinical outcomes after acute myocardial infarction. Am J Cardiol 2010;105:312-317. 6. van Kimmenade RR, Mohammed AA, Uthamalingam S, et al. Red blood cell distribution width and 1-year mortality in acute heart failure. Eur J Heart Fail 2010;12:129-136
  6. Felker GM, Allen LA, Pocock SJ, et al. Red cell distribution width as a novel prognostic marker in heart failure: data from the CHARM Program and the Duke Databank. J Am Coll Cardiol 2007;50:40-47
  7. Tonelli M, Sacks F, Arnold M, et al. Relation between red blood cell distribution width and cardiovascular event rate in people with coronary disease. Circulation 2008;117:163- 168
  8. Ye Z, Smith C, Kullo IJ. Usefulness of red cell distribution width to predict mortality in patients with peripheral artery disease. Am J Cardiol 2011;107:1241-1245
  9. Zorlu A, Bektasoglu G, Guven FM, et al. Usefulness of admission red cell distribution width as a predictor of early mortality in patients with acute pulmonary embolism. Am J Cardiol 2012; 109:128-134
  10. Patel KV, Ferrucci L, Ershler WB, et al. Red blood cell distribution width and the risk of death in middle-aged and older adults. Arch Intern Med 2009;169:515-523
  11. Weiss G, Goodnough LT. Anemia of chronic disease. N Engl J Med 2005;352:1011-1023
  12. Lippi G, Targher G, Montagnana M, et al. Relation between red blood cell distribution width and inflammatory biomarkers in a large cohort of unselected outpatients. Arch Pathol Lab Med 2009;133:628-632
  13. Mallika V, Goswarni B, Rajappa M. Atheroscleros