[Clinical analysis of FRAX in the assessment of fracture risk in patients with rheumatic disease in three medical center].

ABSTRACT

Objective: The aim is to analyze the fracture risk in rheumatic patients by fracture risk assessment tool (FRAX), which is recommended by World Health Organization (WHO), so that we can prevent the occurrence of osteoporotic fracture earlier. Methods: Totally 617 participants, 204 out-patients with rheumatism, 204 in-patients with rheumatism and 209 healthy controls, from March to October in 2018 of Fourth Medical Center of PLA General Hospital, Jishuitan Hospital and China-Japan Friendship Hospital, were enrolled in this study. The probability of hip fracture (PHF) and major osteoporotic fracture (PMOF) in 10 years with FRAX were compared, and the differences between taking sleroids or not and with or without bone mass density (BMD) of femoral neck were evaluated. Correlation analysis was conducted between PHF, PMOF and clinical information, including age, disease duration, gender, steroid usage, osteocalcin, P1NP and ß-crosslaps. Results: There was no significant difference in PMOF within 10 years (3.455±2.690 vs 2.973±2.149 vs 3.323±1.828) among the three groups (P>0.05), but the PHF (0.986±1.619 vs 0.515±0.873 vs 0.149±0.311) was different (P<0.05). PHF and PMOF increased gradually with age. PMOF of patients without glucocorticoid therapy in 10 years was lower than that of patients with glucocorticoid (3.554±2.584 vs 2.857±2.238, P<0.05). There is no difference between the results of FRAX calculated with BMD or not (3.012±2.231 vs 3.207±2.601, P>0.05). PHF and PMOF were positively correlated with age, course of disease, glucocorticoid use and osteocalcin level, while PHF was negatively correlated with TP1NP among in-patients. Conclusion: The prevalence of 10-year hip fracture calculated by FRAX in rheumatism patients is higher than that of healthy group. FRAX can be used to calculate fracture risk without BMD. Combination of FRAX and bone turnover markers may be more effective in prediction of osteoporotic fracture in rheumatic patients.