Red cell distribution width is a potential predictor of early relapse in polymyalgia rheumatica

D Soddu1, D Sola2, M Bellan3

  • 1Department of Translational Medicine, University of Piemonte Orientale UPO, Novara; Division of Internal Medicine, Immunorheumatology Unit, "Maggiore della Carità" Hospital, Novara. daniele.soddu88@gmail.com.

Reumatismo
|August 3, 2021
PubMed

Insights

Red blood cell distribution width (RDW) can predict early relapse in polymyalgia rheumatica (PMR) patients. Higher RDW levels indicate a greater risk of relapse within six months, independent of other factors.

Area of Science:

  • Rheumatology
  • Clinical Medicine
  • Hematology

Background:

  • Red blood cell distribution width (RDW) is a recognized prognostic biomarker in chronic inflammatory diseases.
  • Polymyalgia rheumatica (PMR) is characterized by inflammation, and early relapse is a significant clinical concern.

Purpose of the Study:

  • To investigate the potential of RDW as a predictive biomarker for early relapse in PMR patients.
  • To correlate baseline RDW with the risk of relapse in the first six months of PMR diagnosis.

Main Methods:

  • Retrospective review of clinical records for 44 PMR patients diagnosed using 2012 ACR/EULAR criteria.
  • Analysis of baseline clinical and laboratory data, focusing on RDW variation coefficient.
  • Correlation of RDW with relapse risk and relapse-free survival using statistical models.

Main Results:

  • Nine out of 44 patients experienced early relapse.
  • Patients with early relapse exhibited a significantly higher median RDW compared to those without relapse (13.7% vs 13.5%, p=0.04).
  • Higher RDW levels were associated with shorter relapse-free survival (p<0.03) and independently predicted 6-month relapse risk (p=0.01).

Conclusions:

  • RDW serves as an independent biomarker for predicting early relapse in polymyalgia rheumatica.
  • RDW is a potentially valuable and accessible predictive marker for managing PMR patients.
  • Further research can explore RDW's role in tailoring PMR treatment strategies.