Machine learning reveals the most important psychological and social variables predicting the differential diagnosis of rheumatic and musculoskeletal diseases.

There is an ongoing debate about the importance and the extent to which psychological and psychopathological factors, adverse childhood experiences, and socio-demographic characteristics are associated with the development of certain types of rheumatic disease. With the aim of contributing to knowledge on the subject, the present study uses machine learning modeling to determine the importance of 20 psychological and social variables in predicting two classes of rheumatic disease: inflammatory rheumatic and musculoskeletal diseases (RMD) (rheumatoid arthritis = RA, spondyloarthritis = SA, and Sjögren's syndrome = SS) versus non-inflammatory RMD, namely fibromyalgia = FM). A total of 165 French women with FM, RA, SA, and SS completed an inventory of personality traits, a psychopathology diagnosis questionnaire, and a fatigue/pain questionnaire.

A Comparative Study of Fibromyalgia, Rheumatoid Arthritis, Spondyloarthritis, and Sjögren's Syndrome; Impact of the Disease on Quality of Life, Psychological Adjustment, and Use of Coping Strategies.

Background: Fibromyalgia, rheumatoid arthritis, spondyloarthritis, and Sjögren's syndrome are chronic rheumatic diseases with very different clinical characteristics, but which share symptoms such as pain and fatigue. The aim of the study was to examine the impact of the disease on psychological adaptation in fibromyalgia compared with other rheumatic diseases (rheumatoid arthritis, spondyloarthritis, and Sjögren's syndrome).

Methods: In a multicenter study, 165 women with rheumatic diseases (48 with fibromyalgia, 47 with rheumatoid arthritis, 47 with spondyloarthritis, 23 with Sjögren's syndrome) completed the General Health Questionnaire-28 (emotional distress), Fatigue Severity Scale (fatigue), Fibromyalgia Impact Questionnaire (impact of the disease), Coping Strategies Questionnaire (coping), and Mini International Neuropsychiatric Interview (comorbidity with DSM IV axis-I disorders).

Comparison of the Big Five personality traits in fibromyalgia and other rheumatic diseases.

Introduction: The personality of patients with fibromyalgia is still under debate. Some studies found high neuroticism associated with low extraversion, while others found that these traits do not differ from the normal population. Personality factors intervene in the emotional regulation and modulation of pain.