An Elevated Platelet Count Increases the Risk of Relapse in Ulcerative Colitis Patients with Mucosal Healing

Gut Liver. 2018 Jul 15;12(4):420-425. doi: 10.5009/gnl17236.

Abstract

Background/aims: Although mucosal healing (MH) has been considered a treatment goal for patients with ulcerative colitis (UC), the risk factors predictive of relapse in patients who achieve MH are unknown. Because the platelet count has been shown to be a marker of inflammation in inflammatory bowel diseases, this study aimed to assess whether the platelet count could predict relapse in UC patients with MH.

Methods: A prospective observational study was performed. UC patients with MH were consecutively enrolled in the study and monitored for at least 2 years or until relapse. The correlation between the incidence of relapse and the platelet count at the time of study enrollment was examined.

Results: In total, 43 patients were enrolled, and 14 patients (33%) relapsed. The median platelet count at the time of enrollment in the patients who relapsed significantly differed from that in the patients who did not relapse (27.2×10⁴/μL vs 23.8×10⁴/μL, respectively; p=0.016). A platelet count >25.0×10⁴/μL was a significant risk factor for relapse based on a multivariate analysis (hazard ratio, 4.85; 95% confidence interval, 1.07 to 25.28), and according to the Kaplan-Meier analysis, this cutoff could identify patients susceptible to relapse (p=0.041, log-rank test).

Conclusions: The platelet count could be used as a predictor of relapse in UC patients with MH.

Keywords: Colitis, ulcerative; Mucosal healing; Platelet count; Recurrence.

Publication types

  • Observational Study

MeSH terms

  • Adult
  • Biomarkers / blood
  • Chronic Disease
  • Colitis, Ulcerative / blood*
  • Colitis, Ulcerative / pathology
  • Female
  • Humans
  • Inflammation / blood
  • Intestinal Mucosa*
  • Kaplan-Meier Estimate
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Platelet Count / statistics & numerical data*
  • Predictive Value of Tests
  • Proportional Hazards Models
  • Prospective Studies
  • Recurrence
  • Risk Factors

Substances

  • Biomarkers