A Correlative Study between Platelet Count, Mean Platelet Volume and Red Cell Distribution Width with the Disease Severity Index in Psoriasis Patients EC13-EC16
Dr. Rajesh Kanna Nandagopal Radha,
No-35. First Main Road, Lake Area, Nungambakkam-600034, Chennai, India.
Introduction: Platelet activation is presumed to play an important role in the immunoinflammatory reactions. Several recent studies on a variety of inflammatory disorders have used Mean Platelet Volume (MPV) as a marker for platelet activation.
Aim: To determine the relationship between haematological parameters and disease severity index in psoriasis patients.
Materials and Methods: A Case control study was carried out on 50 psoriatic patients and 50 healthy control subjects. Ten haematologic parameters were compared between patients and control subjects. These parameters were also correlated in patients with PASI (Psoriasis Area and Severity Index) score. The data was statistically analysed using IBM SPSS software (Version 21). Spearman Rank Correlation was used to find the correlation between PASI and haematological parameters.
Results: When all the patients were considered together, mean values for MPV, Platelet Count (PLT) and Red Cell Distribution Width (RDW) were significantly different between the two groups (Control and Patients). While MPV and RDW were raised, PLT was reduced in patients of both sexes when compared with controls. In Male patients the MPV and RDW showed statistically significant correlation with Psoriasis Area And Severity Index (PASI) (MPV <0.01; RDW<0.05), whereas PLT though reduced in both sexes when compared with controls, it showed significance in female patients alone (p <0.01).
Conclusion: The mean values for MPV and RDW were higher and mean platelet values were lower in patients than controls. The MPV values in male patients and Platelet counts in female patients showed strong positive and negative correlation respectively with the PASI score. It can be concluded that rising MPV and decreasing PLT could be good indicators of disease severity and progression. These indicators could also help in assessing the treatment course of the disease.