Clinical features and predictors of osteoarticular manifestations in common variable immunodeficiency

This study aimed to assess osteoarticular manifestations in patients with common variable immunodeficiency (CIVD) and to identify the predictive factors.

This was a retrospective and prognostic study conducted in the pediatrics: immuno-hematology and stem cell transplantation department, including patients who fit the definition of CVID. A Cox model analysis was used to identify predictive factors.

A total of 36 patients were enrolled. Osteoarticular involvement was noted in 15 patients (42%) with a cumulative incidence of 90% after a median follow-up of 25 years. Non-infectious manifestations were reported in 14 patients (39%). The cumulative risk of inflammatory or autoimmune osteoarticular etiology was 74%. Well-characterized rheumatic diseases were retained in six patients and unlabeled autoimmune or inflammatory mechanism in five cases. Bone mineral density revealed osteoporosis in six cases leading to a cumulative risk of degenerative complications of 72%. The cumulative incidence of infectious complications was 17%. In multivariate analysis, predictors of osteoarticular complications were low body weight (HR = 8.67, CI: 1.496-50.278, p = 0.01) and hepatomegaly at diagnosis (HR = 6.2, CI: 1.537-25.075, p = 0.01). Reduced CD4 cells rate < 600 cells/mm³ and hepatomegaly were predictors of autoimmune or inflammatory complications, while chronic diarrhea and iron deficiency were associated with degenerative manifestations.

Osteoarticular manifestations have emerged as a real health problem for CVID patients. Risk increases with low body weight, hepatomegaly, chronic diarrhea, iron deficiency, and CD4 cells rate under 600 cell/mm³. Elucidating the mechanisms of these complications in CVID is important for developing preventive strategies. Key Points • This retrospective and prognostic study described the clinical characteristics of osteoarticular manifestations in 36 patients with CVID to ensure better recognition and understanding of this association by clinicians. • Identification of predictive factors of osteoarticular complications according to its etiology is crucial to establish appropriate, optimal and early management of patients at risk.