Structure, demography, and medico-social characteristics of articular syndrome in rheumatic diseases: a retrospective monocentric analysis of 2019-2021 data.

Abstract

Rheumatic diseases encompass a wide range of conditions characterised by joint inflammation and pain, significantly impacting individuals' quality of life. Articular syndrome, manifested through joint-related symptoms such as pain, swelling, and reduced mobility, is a common feature of rheumatic diseases. This study aimed to analyze articular syndrome's structure, demography, and medico-social characteristics in rheumatic diseases. We retrieved case notes of 370 patients examined in 2019-2021 at the Rheumatology Department of the Regional Clinical Hospital, Shymkent, Kazakhstan. We processed data on gender, age, place of residence, social status, clinical diagnosis, comorbid conditions, complications, and delays. The material was counted by frequency analysis. Statistical and mathematical data processing was performed using the SPSS application software package version 26.0 (IBM). The identified rheumatic diseases among the patients included rheumatoid arthritis (183), systemic lupus erythematosus (47), osteoarthritis (42), ankylosing spondylitis (31), systemic scleroderma (30), reactive arthritis (18), gouty arthritis (14), psoriatic arthritis (3), and dermatomyositis (2). The distribution of patients with articular syndrome varied across the study years, with 102 patients in 2019, 216 patients in 2020, and 52 patients in 2021. The study revealed the age distribution of patients, with an average age of 46 at the time of examination and an average age of disease onset at 39. The study further investigated the distribution of rheumatic diseases categorized by gender, place of residence (urban or rural), and disease duration. Additionally, the study examined the prevalence of comorbid conditions and complications related to the underlying rheumatic disease. By examining the structure, demography, and medico-social characteristics of the articular syndrome in patients with rheumatic diseases, this retrospective analysis provides valuable insights into the epidemiological aspects of these conditions. The findings may contribute to a better understanding of the burden of rheumatic diseases on individuals and society. Such knowledge can aid in developing targeted interventions, improving healthcare delivery, and enhancing patients' overall well-being.