ABSTRACT
INTRODUCTION: This study aimed to assess osteoarticular manifestations in patients with common variable immunodeficiency (CIVD) and to identify the predictive factors. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
