Vernal Keratokonjonktivit Hastalarında Kırmızı Hücre Dağılım Genişliğinin Değerlendirilmesi

Year 2019, , 1547 - 1553, 15.08.2019

Şemsettin Bilak , Burak Bilgin

https://doi.org/10.30569/adiyamansaglik.581417

Abstract

Amaç:
Vernal Keratokonjonktivit (VKK) oküler yüzeyin bilateral, kronik, alerjik enflamatuar
bir hastalığıdır. Kırmızı hücre dağılım genişliği (RDW) birçok kronik enflamatuar
durumda artış gösteren hematolojik bir laboratuvar testidir. Çalışmamızın amacı
RDW’nin VKK gelişimi ile olan ilişkisini araştırmaktır.

Yöntem:
Klinik
olarak VKK tanısı konmuş 72 hasta ile aynı yaş ortalaması ve cinsiyete sahip 72
sağlıklı birey çalışmaya dahil edildi. Hastalardan alınan venöz kan ile tam kan
sayımı yapılarak, RDW değeri elde edildi. Elde edilen RDW değerleri istatistiksel
olarak karşılaştırıldı.

Bulgular:
VKK
gurubu 41 erkek, 31 kadın hastadan oluşurken, kontrol gurubu 39 erkek, 33 kadın
hastadan oluşmaktaydı. VKK gurubunun yaş
ortalaması 13.06±0.65 yıl, kontrol gurubunun yaş ortalaması ise 12.36± 0.51
yıldı. Gruplar arasında cinsiyet ve yaş açısından anlamlı bir fark izlenmedi
(p>0.05). RDW değeri VKK grubunda % 12.8±1.45, kontrol gurubunda ise %
11.63±0.87 idi (p=0.01).

Sonuç: RDW
artışı, VKK ile anlamlı bir şekilde ilişkilidir. RDW artışı VKK’te kronik inflamasyon ve artmış oksidatif stresin patogenezde
önemli rol oynadığını düşündürmektedir. 

Keywords

Vernal keratokonjonktivit, Kırmızı hücre dağılım aralığı

Evaluation of Red Cell Distribution Width in Vernal Keratoconjunctivitis Patients

Abstract

Purpose: Vernal
Keratoconjunctivitis (VKK) is a bilateral, chronic, allergic inflammatory
disease of the ocular surface. Red cell distribution width (RDW) is a
hematological laboratory test that has been shown to increase in many chronic
inflammatory conditions. The aim of this study is to investigate the
relationship between RDW and VKK development.

Materials and Methods: Clinically diagnosed of 72 patients with VKK, and 72 age and sex matched
healthy individuals were enrolled to the study. 
Venous bloods were obtained from the all participants. Complete blood
count test was performed and RDW values were obtained. The obtained RDW values
were compared between groups statistically.

Results: The VKK group consisted
of 41 male and 31 female patients, while the control group consisted of 39 male
and 33 female patients. The mean age of VKK group was 13.06 ± 0.65 years and
the mean age of the control group was 12.36 ± 0.51 years. There was no
significant difference between the groups in terms of gender and age (p> 0.05).
RDW value was 12.8 ± 1.45 % in VKK group and 11.63 ± 0.87 % in the control
group (p = 0.01).

Conclusion: RDW increase was
significantly associated with VKK. The increase in RDW suggests that chronic
inflammation and increased oxidative stress play an important role in the
pathogenesis of VKK.

References

• 1. Bonini S, Lambiase A, Sgrulletta R, Bonini S. Allergic chronic inflammation of the ocular surface in vernal keratoconjunctivitis. Curr Opin Allergy Clin Immunol. 2003;3(5):381-7.
• 2. Kumar S. Vernal keratoconjunctivitis: a major review. Acta Ophthalmol. 2009;87(2):133-47.
• 3. Leonardi A. Vernal keratoconjunctivitis: pathogenesis and treatment. Prog Retin Eye Res. 2002;21(3):319-39.
• 4. De Hu Z. Red blood cell distribution width: a promising index for estimating activity of autoimmune disease. J Lab Precis Med. 2016;1(4):1-6.
• 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. Silva Litao MK, Kamat D. Back to Basics: Red Blood Cell Distribution Width: Clinical Use beyond Hematology. Pediatr Rev. 2018;39(4):204-9.
• 7. Gurler M, Aktas G. A review of the association of mean platelet volume and red cell distribution width in inflammation. Int J Res Med Sci. 2016;4(1):1-4.
• 8. da Silva Garrote-Filho M, Bernardino-Neto M, Penha-Silva N. Influence of Erythrocyte Membrane Stability in Atherosclerosis. Curr Atheroscler Rep. 2017 ;19(4):17.
• 9. Dadaci Z, Oncel M, Oncel Acir N, Sahin E, Borazan M. Oxidative stress parameters and serum magnesium levels in patients with seasonal allergic conjunctivitis. Cutan Ocul Toxicol. 2016;35(4):270-4
• 10. Wakamatsu TH, Dogru M, Ayako I, Takano Y, Matsumoto Y, Ibrahim OM, Okada N, Satake Y, Fukagawa K, Shimazaki J, Tsubota K, Fujishima H. Evaluation of lipid oxidative stress status and inflammation in atopic ocular surface disease. Mol Vis. 2010;16:2465-75.
• 11. Bacsi A, Dharajiya N, Choudhury BK, Sur S, Boldogh I. Effect of pollen-mediated oxidative stress on immediate hypersensitivity reactions and late-phase inflammation in allergic conjunctivitis. J Allergy Clin Immunol. 2005 ;116(4):836-43.
• 12. Bonini S, Sacchetti M, Mantelli F, Lambiase A. Clinical grading of vernal keratoconjunctivitis. Curr Opin Allergy Clin Immunol. 2007;7(5):436-41.
• 13. Sompolinsky D, Samra Z, Zavaro A, Barishak Y. Allergen-specific immunoglobulin e antibodies in tears and serum of vernal conjunctivitis patients. Int. Arch. Allergy Appl. Immunol. 1984;75: 317–21.
• 14. Bonini S, Bonini S, Lambiase A, Marchi S, Pasqualetti P, Zuccaro O, Rama P, Magrini L, Juhas T, Bucci MG. Vernal keratoconjunctivitis revisited: a case series of 195 patients with long-term followup. Ophthalmology. 2000; 107:1157–63.
• 15. Bozkurt B, Kizilirmak D. Relation of hemogram parameters with asthma. European Respiratory Journal.2015; 46 (suppl 59) PA1102.
• 16. Ejaz S, Nasim FH, Ashraf M, Ahmad S. Hematological and Biochemical Profile of Patients Suffering from Non-Atopic Asthma. The Indian journal of chest diseases. 2017;2(2:6):1-10.
• 17. Kurtul BE, Kabatas EU, Boybeyi SD, Caglar AA, Ozer PA. Increased red cell distribution width levels in children with seasonal allergic conjunctivitis. Int Ophthalmol. 2018;38(3):1079-84.
• 18. Lippi G, Buonocore R, Picanza A, Schirosa F, Cervellin G. Red blood cell distribution width and haemoglobin are associated with hospital admission in patients with acute allergic reactions. Br J Biomed Sci. 2016;73(1):21-4.
• 19. Jelkmann W. Proinflammatory cytokines lowering erythropoietin production. J Interferon Cytokine Res.1998;18:555–9.
• 20. Weiss G, Goodnough LT. Anemia of chronic disease. N Engl J Med. 2005;352:1011–23.
• 21. Kiefer CR, Snyder LM. Oxidation and erythrocyte senescence. Curr Opin Hematol. 2000;7:113–6.
• 22. Mori J, Ishizaki M, Senoo T, Obara Y. Cytokine mRNA expression in vernal keratoconjunctivitis. Nippon Ganka Gakkai Zasshi. 2002;106(7):392-7.
• 23. Faquin WC, Schneider TJ, Goldberg MA. Effect of inflammatory cytokines on hypoxia-induced erythropoietin production. Blood. 1992;79(8):1987-94.
• 24. Semba RD, Patel KV, Ferrucci L, Sun K, Roy CN, Guralnik JM, Fried LP. Serum antioxidants and inflammation predict red cell distribution width in older women: the Women’s Health and Aging Study I. Clin Nutr. 2010;29:600–4
• 25. Pattnaik L, Acharya L, Mohapatra R. Role of oxidative stress in vernal keratoconjunctivitis. Indian Journal of Public Health Research & Development. 2018:9(11); 2334-9.