Morbidity and mortality in antiphospholipid syndrome based on cluster analysis: a 10-year longitudinal cohort study

Rheumatology (Oxford). 2021 Mar 2;60(3):1331-1337. doi: 10.1093/rheumatology/keaa542.

Abstract

Objective: Using cluster analysis, to identify the subgroup of patients with APS with the poorest prognosis and clarify the characteristics of that subgroup.

Methods: This is a longitudinal retrospective cohort study of APS patients. Using clinical data and the profile of aPL, cluster analysis was performed to classify the patients into subgroups. Events were defined as thrombosis, severe bleeding, and mortality.

Results: A total of 168 patients with APS were included. Cluster analysis classified the patients into three subgroups; Cluster A (n = 61): secondary APS, Cluster B (n = 56): accumulation of cardiovascular risks and arterial thrombosis, Cluster C (n = 61): triple positivity of aPL and venous thrombosis. Cluster B showed significantly higher frequency of the events and higher mortality compared with the other clusters (P = 0.0112 for B vs A and P = 0.0471 for B vs C).

Conclusion: Using cluster analysis, we clarified the characteristics of the APS patients with the poorest prognosis. Risk factors for cardiovascular disease may further increase events in patients with APS.

Keywords: antiphospholipid syndrome (APS); cardiovascular risks; cluster analysis; history of arterial thrombosis; morbidity; mortality.

MeSH terms

  • Adult
  • Antiphospholipid Syndrome / complications
  • Antiphospholipid Syndrome / diagnosis
  • Antiphospholipid Syndrome / epidemiology*
  • Antiphospholipid Syndrome / mortality
  • Cluster Analysis
  • Female
  • Heart Disease Risk Factors
  • Humans
  • Japan / epidemiology
  • Kaplan-Meier Estimate
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Prognosis
  • Survival Analysis
  • Thrombosis / etiology
  • Thrombosis / mortality