Huzursuz Bacak Sendrom Hastalarında İnflamasyonun Plateletkrit, RDW, Sedimantasyon ve CRP ile Değerlendirilmesi

Evaluation of Inflammation With Plateletcrit, RDW, Sedimentation and CRP in Patients With Restless Legs Syndrome

Özet

Giris ve Amaç: Huzursuz bacak sendromu (HBS) patofizyolojisi tam olarak bilinmemekle birlikte inflamatuvar süreçlerin rol oynadığı anlaşılmaktadır. Bu araştırmada HBS'de kırmızı hücre dağılım genişliği (RDW), platelekrit, eritrosit sedimantasyon hızı (ESR), C-reaktif protein (CRP)'nin inflamatuar bir biyobelirteç olarak rolü araştırılmıştır. Yöntem ve Gereçler: Çalışmaya HBS tanısı almış 108 hasta ve benzer demografik özelliklere sahip 106 sağlıklı kontrol grubu dahil edildi. Toplam kan sayımı (RDW, WBC, trombosit, nötrofil, lenfosit, platelekrit, nötrofil lenfosit oranı (NLO)), CRP, ESR, glukoz, kreatinin, ferritin ve B12 vitamini her iki grupta karşılaştırıldı. Demografik ve laboratuvar değerleri SPSS'ye kaydedildi.

Abstract

Introduction: While restless legs syndrome (RLS) pathophysiology is unclear, it is understood that inflammatory processes play a role. In this research, the role of red cell distribution width (RDW), plateletcrit, erythrocyte sedimentation rate (ESR), Creactive protein (CRP) as an inflammatory biomarker in the RLS was investigated. Methods: One hundred and eight patients diagnosed with RLS and one hundred and six healthy control group with similar demographic characteristics were included in this study. Total blood count (RDW, WBC, platelet, neutrophil, lymphocyte, plateletcrit, neutrophil lymphocyte ratio (NLR)), CRP, ESR, glucose, creatinine, ferritin, and vitamin B12 were compared in both groups. Demographic and laboratory values were recorded in SPSS. Results: RDW, plateletcrit, platelet and ESR results were statistically higher in the RLS group compared to the control group. Neutrophil, CRP and NLR were higher in the RLS group without significance. There was positive correlations between RDW and RLS group, CRP, ESR, platelet and NLR. In multivariate analysis, RDW was found as a significant independent predictor of RLS after adjusting for other risk factors (p=0.027). In a receiver operating characteristic curve analysis, an RDW value of 13.55% was identified as an effective cut-off RLS (area under curve=0.597, 95% CI=0.518–0.675, p=0.014). An RDW value of more than 13.55 % yielded a sensitivity of 60.2% and a specificity of 60.4%. Conclusion: Our study first investigated RDW and plateletcrit as an inflammatory biomarker in RLS patients and revealed that RDW is an independent predictor in RLS patients.