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AB0265 (2020)
REDUCTION OF APPENDICULAR SKELETAL MASS INDEX IS A PREDICTOR OF FRACTURE IN PATIENTS WITH RHEUMATOID ARTHRITIS BASED ON THE THREE-YEAR FOLLOW-UP DATA OF THE CHIKARA STUDY
M. Tada1, Y. Yamada2, K. Mandai3, N. Hidaka1
1Osaka City General Hospital, Orthopaedic Surgery, Osaka, Japan
2Osaka City University Medical School, Orthopaedic Surgery, Osaka, Japan
3Osaka Social Medical Center Hospital, Orthopaedic Surgery, Osaka, Japan

Background: Patients with rheumatoid arthritis (RA) have lower muscle mass 1 and a higher risk of fragility fracture 2 compared with healthy individuals. The predictors for fractures among baseline data and the chronological changes of disease activity, body composition, and muscle mass are unknown.


Objectives: The predictors for fractures were investigated over a 3-year period in a longitudinal study.


Methods: The 3-year follow-up data from a prospective observational study (CHIKARA study: Correlation researcH of sarcopenIa, sKeletal muscle and disease Activity in Rheumatoid Arthritis) were used. The patients’ fractures were counted, and correlations between fractures and disease activity, body composition, and sarcopenia were investigated. Muscle mass, body fat mass, total body water, bone mass, and basal metabolic rate were measured using a body composition analyzer. The fracture-free survival rate was calculated. The relationships between fractures and each parameter at baseline and the changes over the 3-year period (Δ) were investigated by univariate and multivariate analyses.


Results: A total of 100 patients (78 female, average age 68 years) were enrolled in this study; 12 patients (10 female and 2 male) had fractures during the 3-year follow-up, and the fracture-free survival rate was 86.9%. The Δmodified Health Assessment Questionnaire (mHAQ), Δweight, Δmuscle mass, Δestimated bone mass, Δbasal metabolic rate, and Δappendicular skeletal muscle index (ASMI) were predictors for fractures. On the other hand, body composition, disease activity, and sarcopenia at baseline were not correlated with fractures ( Table 1 ). The ΔASMI was an independent predictor for fractures on multivariate analysis (odds ratio:0.015, P=0.026). The estimated cut-off value of the ΔASMI was 0.14 kg/m 2 on receiver operating characteristic curve analysis (Figure). When the ΔASMI decrease was greater than or equal to 0.14 kg/m 2 for three years, the odds ratio of fractures was significantly increased 9.8-fold, compared to a ΔASMI decrease less than 0.14 kg/m 2 (P=0.001).

Predictors for fractures in patients with RA

Univariate
R value P value
Baseline
Age, year 0.172 0.087
DAS28-ESR -0.083 0.411
mHAQ 0.077 0.447
Weight, kg 0.021 0.837
Muscle mass, kg -0.0035 0.728
Estimated bone mass, kg -0.020 0.845
Sarcopenia -0.093 0.356
Change of 3-year period
ΔDAS28-ESR 0.187 0.088
ΔmHAQ 0.224 0.040
ΔWeight, kg -0.224 0.045
ΔMuscle mass, kg -0.253 0.023
ΔEstimated bone mass, kg -0.236 0.034
ΔBasal metabolic rate, kcal/day -0.248 0.025
ΔAppendicular skeletal muscle index, kg/m 2 -0.352 0.001

Conclusion: The fracture-free survival rate was 86.9% in this 3-year longitudinal study. It was difficult to predict future fractures from the baseline data. Reduction of the ASMI was an independent predictor for fractures. Alleviating muscle mass loss may prevent fractures.


REFERENCES:

[1]Inui K., Koike T., Tada M., et al. Sarcopenia is apparent in patients with rheumatoid arthritis, especially those with biologics -TOMORROW study-. EULAR 2015 abstract (AB0359).

[2]van Staa TP, Geusens P, Bijlsma JW, et al. Clinical assessment of the long-term risk of fracture in patients with rheumatoid arthritis. Arthritis Rheum. 2006; 54: 3104–12.


Disclosure of Interests: None declared


Citation: Ann Rheum Dis, volume 79, supplement 1, year 2020, page 1427
Session: Rheumatoid arthritis - comorbidity and clinical aspects (Abstracts Accepted for Publication)