Comparison of mean platelet volume (MPV) and red blood cell distribution width (RDW) between psoriasis patients and controls: A systematic review and meta-analysis

PLoS One. 2022 Feb 25;17(2):e0264504. doi: 10.1371/journal.pone.0264504. eCollection 2022.

Abstract

Background: The predictive role of hematological indexes of mean platelet volume (MPV) and red cell distribution width (RDW) has been demonstrated in cardiovascular disease concomitant with psoriasis. This meta-analysis is intended to assess whether MPV and RDW can also serve as biomarkers for the early diagnosis and disease severity assessment of psoriasis.

Material and methods: 13 studies which enrolled 1331 psoriasis patients and 919 healthy volunteers were included after screening the search results from PubMed, Embase and the Cochrane Library since inception to Mar 14, 2020. MPV of psoriasis participants and their counterparts was assessed in 10 studies, and RDW was evaluated in 4 studies, while the disease severity was measured by the Psoriasis Area and Severity Index (PASI) in 11 studies. Random-effect model analysis was applied to calculate pooled standard mean difference (SMD) with 95% confidence interval (95% CI).

Results: Associations of MPV and RDW with the presence of psoriasis were demonstrated (MPV: SMD = 0.503, 95% CI: 0.242-0.765; RDW: SMD = 0.522, 95% CI: 0.228-0.817), but no statistically significant correlation of MPV and disease severity of psoriasis was found in meta-regression analysis (p = 0.208). Subgroup analysis revealed that the diagnosis value of MPV and RDW was consistent regardless of PASI and study type. Heterogeneity analysis between studies was implemented by chi-squared test and I2 statistics. Begg's and Egger's test were utilized for the evaluation of publication bias. The sensitivity analysis revealed no significant alteration no matter which study was excluded.

Conclusion: MPV and RDW could serve as promising predictive diagnostic biomarkers of psoriasis.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Systematic Review

MeSH terms

  • Biomarkers / blood
  • Case-Control Studies
  • Databases, Factual
  • Erythrocyte Indices*
  • Humans
  • Mean Platelet Volume*
  • Psoriasis / pathology*
  • Severity of Illness Index

Substances

  • Biomarkers

Grants and funding

This work was supported by the Hunan Talent Young Investigator (No. 2019RS2012), Hunan Outstanding Young Investigator (No. 2020JJ2055), National Natural Science Foundation of China (No. 81960565, No. 81560275), Hainan Province Clinical Medical Center, Innovation Research Team Project of Natural Science Foundation of Hainan Province (No. 2018CXTD350) and the Key R&D Projects in Hainan Province (No. ZDYF2020147).