Частота и факторы риска падений у пациентов с ревматоидным артритом

Abstract

Study Objective: To identify the prevalence and risk factors (RFs) of falls in patients with rheumatoid arthritis (RA). Study Design: A three-year prospective study. Materials and Methods. The study included 122 patients with RA (mean age: 60 [55; 67] years old). We undertook a clinical and laboratory examination and assessed RA, physical activity, and muscle strength in hands. In order to predict falls, we used a multifactorial logistic regression analysis. Study Results. During the prospective observation, 60% of RA patients had falls, and 25% of them had 2 and more falls. The single-factor regressive analysis showed that the prevalence of falls in patients with RA was impacted by the age (p = 0.0041), smoking (p = 0.032), history of falls (p = 0.032), and presence of aseptic joint necrosis (p = 0.046). The RFs were used to construct a prediction model for RA patients with the sensitivity of 74.2% and specificity 83.7%. Conclusion. High prevalence of falls and associated low-energy fractures in RA patients necessitate creation of a strategic prevention program. Our prediction model possesses good prognostic value and can be used to identify a high risk of falls in patients with RA. Keywords: rheumatoid arthritis, falls, risk factors, prevalence of falls.