A RELEVÂNCIA DO ÍNDICE DE ANISOCITOSE NA DOENÇA CAROTÍDEA
DOI:
https://doi.org/10.48750/acv.324Palavras-chave:
Doença arterial carotídea, Determinação de tamanho eritrocitário, BiomarcadoresResumo
Introdução: A doença carotídea afeta 3-4% da população geral. A associação entre inflamação sistémica de baixo grau e aterosclerose estimulou o estudo de biomarcadores sanguíneos, nomeadamente o índice de anisocitose (RDW-CV), e a sua importância na fisiopatologia e prognóstico da doença carotídea. O objetivo deste estudo foi elaborar uma revisão da literatura no que diz respeito à relevância do RDW-CV na doença carotídea.
Métodos: Foi realizada uma pesquisa na base Medline de forma a identificar publicações focadas na fisiopatologia do RDW-CV e o seu impacto na doença carotídea.
Resultados: Um aumento de RDW-CV associou-se a um espessamento íntima-média carotídea (CIMT) em vários estudos. Associou-se à presença de placas de aterosclerose e sua progressão. Um estudo demonstrou uma associação independente entre mortalidade por todas as causas e mortalidade cardiovascular com o aumento do RDW-CV em doentes com estenose carotídea assintomática.
Conclusão: O RDW-CV é um marcador de baixo custo, prontamente disponível e fácil de se obter que parece estar associado a aterosclerose carotídea subclínica. Contudo são necessários mais estudos para se determinar a sua importância clínica neste contexto.
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Referências
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2019;47(281):167-9.
19. Pilling LC, Atkins JL, Kuchel GA, Ferrucci L, Melzer D. Red cell distribution width and common disease onsets in 240,477 healthy volunteers followed for up to 9 years. PLoS One. 2018;13(9):e0203504.
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21. Xanthopoulos A, Giamouzis G, Melidonis A, Kitai T, Paraskevopoulou E, Paraskevopoulou P, et al. Red blood cell distribution width as a prognostic marker in patients with heart failure and diabetes mellitus. Cardiovasc Diabetol. 2017;16(1):81.
22. Bujak K, Wasilewski J, Osadnik T, Jonczyk S, Kolodziejska A, Gierlotka M, et al. The Prognostic Role of Red Blood Cell Distribution Width in Coronary Artery Disease: A Review of the Pathophysiology. Dis Markers. 2015;2015:824624.
23. Lippi G, Targher G, Montagnana M, Salvagno GL, Zoppini G, Guidi GC. Relation between red blood cell distribution width and inflammatory biomarkers in a large cohort of unselected outpatients. Arch Pathol Lab Med. 2009;133(4):628-32.
2. Bejot Y, Bailly H, Durier J, Giroud M. Epidemiology of stroke in Europe and trends for the 21st century. Presse Med. 2016;45(12 Pt 2):e391-e8.
3. Naylor AR, Ricco JB, de Borst GJ, Debus S, de Haro J, Halliday A, et al. Editor's Choice - Management of Atherosclerotic Carotid and Vertebral Artery Disease: 2017 Clinical Practice Guidelines of the European Society for Vascular Surgery (ESVS). Eur J Vasc Endovasc Surg. 2018;55(1):3-81.
4. Willeit P, Thompson SG, Agewall S, Bergstrom G, Bickel H, Catapano AL, et al. Inflammatory markers and extent and progression of early atherosclerosis: Meta-analysis of individual-participant-data from 20 prospective studies of the PROG-IMT collaboration. Eur J Prev Cardiol. 2016;23(2):194-205.
5. Salvagno GL, Sanchis-Gomar F, Picanza A, Lippi G. Red blood cell distribution width: A simple parameter with multiple clinical applications. Crit Rev Clin Lab Sci. 2015;52(2):86-105.
6. Uchida T. Change in red blood cell distribution width with iron deficiency. Clin Lab Haematol. 1989;11(2):117-21.
7. Patel HH, Patel HR, Higgins JM. Modulation of red blood cell population dynamics is a fundamental homeostatic response to disease. Am J Hematol. 2015;90(5):422-8.
8. Tonelli M, Wiebe N, James MT, Naugler C, Manns BJ, Klarenbach SW, et al. Red cell distribution width associations with clinical outcomes: A population-based cohort study. PLoS One. 2019;14(3):e0212374.
9. Poludasu S, Marmur JD, Weedon J, Khan W, Cavusoglu E. Red cell distribution width (RDW) as a predictor of long-term mortality in patients undergoing percutaneous coronary intervention. Thromb Haemost. 2009;102(3):581-7.
10. Ye WY, Li J, Li X, Yang XZ, Weng YY, Xiang WW, et al. Predicting the One-Year Prognosis and Mortality of Patients with Acute Ischemic Stroke Using Red Blood Cell Distribution Width Before Intravenous Thrombolysis. Clin Interv Aging. 2020;15:255-63.
11. Wonnerth A, Krychtiuk KA, Mayer FJ, Minar E, Wojta J, Schillinger M, et al. Red cell distribution width and mortality in carotid atherosclerosis. Eur J Clin Invest. 2016;46(2):198-204.
12. Soderholm M, Borne Y, Hedblad B, Persson M, Engstrom G. Red cell distribution width in relation to incidence of stroke and carotid atherosclerosis: a population-based cohort study. PLoS One.
2015;10(5):e0124957.
13. Ren D, Wang J, Li H, Li Y, Li Z. Red blood cell distribution width and carotid intima-media thickness in patients with metabolic syndrome. BMC Cardiovasc Disord. 2017;17(1):44.
14. Nam JS, Ahn CW, Kang S, Kim KR, Park JS. Red Blood Cell Distribution Width Is Associated with Carotid Atherosclerosis in People with Type 2 Diabetes. J Diabetes Res. 2018;2018:1792760.
15. Furer A, Finkelstein A, Halkin A, Revivo M, Zuzut M, Berliner S, et al. High red blood cell distribution width and preclinical carotid atherosclerosis. Biomarkers. 2015;20(6-7):376-81.
16. Lappegard J, Ellingsen TS, Vik A, Skjelbakken T, Brox J, Mathiesen EB, et al. Red cell distribution width and carotid atherosclerosis progression. The Tromso Study. Thromb Haemost. 2015;113(3):649-54.
17. Wen Y. High red blood cell distribution width is closely associated with risk of carotid artery atherosclerosis in patients with hypertension. Exp Clin Cardiol. 2010;15(3):37-40.
18. Bojakowski K, Religa P, Andziak P, Gaciong Z. Red-cell distribution width is associated with higher risk of vascular complications after carotid thromboendartherectomy. Pol Merkur Lekarski.
2019;47(281):167-9.
19. Pilling LC, Atkins JL, Kuchel GA, Ferrucci L, Melzer D. Red cell distribution width and common disease onsets in 240,477 healthy volunteers followed for up to 9 years. PLoS One. 2018;13(9):e0203504.
20. Gurbuz O, Kumtepe G, Ozkan H, Karal IH, Ercan A, Ener S. Red blood cell distribution width predicts long term cardiovascular event after on-pump beating coronary artery bypass grafting. J Cardiothorac Surg. 2016;11:48.
21. Xanthopoulos A, Giamouzis G, Melidonis A, Kitai T, Paraskevopoulou E, Paraskevopoulou P, et al. Red blood cell distribution width as a prognostic marker in patients with heart failure and diabetes mellitus. Cardiovasc Diabetol. 2017;16(1):81.
22. Bujak K, Wasilewski J, Osadnik T, Jonczyk S, Kolodziejska A, Gierlotka M, et al. The Prognostic Role of Red Blood Cell Distribution Width in Coronary Artery Disease: A Review of the Pathophysiology. Dis Markers. 2015;2015:824624.
23. Lippi G, Targher G, Montagnana M, Salvagno GL, Zoppini G, Guidi GC. Relation between red blood cell distribution width and inflammatory biomarkers in a large cohort of unselected outpatients. Arch Pathol Lab Med. 2009;133(4):628-32.
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2020-12-13
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Duarte-Gamas L, Pereira-Neves A, Fragão-Marques M, Vilaça I, Rocha-Neves JP, Teixeira J. A RELEVÂNCIA DO ÍNDICE DE ANISOCITOSE NA DOENÇA CAROTÍDEA. Angiol Cir Vasc [Internet]. 13 de Dezembro de 2020 [citado 23 de Novembro de 2024];16(3):167-70. Disponível em: https://acvjournal.com/index.php/acv/article/view/324
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