Platelet Mass Index and Other Platelet Parameters in the Assessment of Inflammatory Bowel Diseases Activity

Abstract

Different qualitative and quantitative changes in platelets are involved in the pathophysiological processes in inflammatory bowel diseases (IBD): ulcerative colitis (UC) and Crohn's disease (CD). The aim of the study was to determine the diagnostic accuracy of Platelet mass Index (PMI) and other platelet parameters in assessment disease activity in patients with UC and CD. A cross-sectional, observational study consisted of 60 IBD patients (30 UC and 30 CD) and 30 healthy subjects (Control group). Patients were grouped according to disease activity into active and inactive (remission). Platelet count (PLC), Plateletcrit (PCT), Mean Platelet Volume (MPV), Platelet Distribution Width (PDW) and PMI were determined for all study participants. Receiver operating characteristic (ROC) curve and their corresponding areas under the curve (AUC) were used to determine diagnostic accuracy. Although PLC had the highest AUC (0.756) compared to PCT (AUC: 0.731), PDW (AUC: 0.722) and PMI (AUC: 0.724), they all had fair diagnostic accuracy in distinguishing active and inactive UC patients. Discriminatory accuracy of PLC was excellent (AUC: 0.909), PCT and PMI good to excellent (AUC: 0.809 and AUC: 0.893, respectively) and PDW fair (AUC: 0.789) in classifying CD patients as active and inactive. Platelet parameters are simple, routinely available biomarkers more useful for assessing disease activity for patients with CD than for patients with UC. Our results indicate, for the first time, that PMI may serve as a novel and simple marker in identifying whether IBD patients are in the active or inactive phase of the disease.

Keywords: Inflammatory bowel disease; Platelet mass index; Platelet parameters.

Figure 1

(A) Receiver operating characteristic (ROC) curve of PLC for differentiation between active and inactive UC patients (B) Receiver operating characteristic (ROC) curve of PCT for differentiation between active and inactive UC patients (C) Receiver operating characteristic (ROC) curve of PDW for differentiation between active and inactive UC patients (D) Receiver operating characteristic (ROC) curve of PMI for differentiation between active and inactive UC patients

Figure 2

(A) Receiver operating characteristic (ROC) curve of PLC for differentiation between active and inactive CD patients (B) Receiver operating characteristic (ROC) curve of PCT for differentiation between active and inactive CD patients (C) Receiver operating characteristic (ROC) curve of PDW for differentiation between active and inactive CD patients (D) Receiver operating characteristic (ROC) curve of PMI for differentiation between active and inactive CD patients