This editorial, “Sarcopenia: a hidden comorbidity of established rheumatoid arthritis” emphasizes the critical role of addressing comorbidities in rheumatoid arthritis (RA) management, focusing particularly on the clinical impact of sarcopenia. The first section highlights how advances in treating immune-mediated rheumatic diseases have improved RA management but also underscore the increasing necessity to integrate comorbidity management to enhance patient outcomes. The second part focused into sarcopenia as a significant yet overlooked comorbidity in RA, discussing its prevalence, impact on life quality, and the complexities of its diagnosis and management. The editorial advocates for a multidisciplinary approach involving rheumatologists, nurses, and primary care physicians to effectively tackle this issue. A call to action from scientific societies is suggested to raise awareness among healthcare professionals about sarcopenia, aiming to improve care for RA patients.

Rheumatoid arthritis (RA) is a prevalent chronic disease that is associated with numerous comorbidities. Accurate assessment of these coexisting conditions, as reported by clinicians, is critical for an improved understanding of the impact of the disease and patient care. This perspective aims to evaluate the utility of real-world data (RWD) for enhancing the understanding of comorbidities in RA and to assess its potential in reshaping clinical management. RWD approaches, specifically the use of structured databases or data extracted from electronic health records, offer promising alternatives to overcome the limitations of traditional methodologies. Structured databases provide a systematic approach to data analysis, utilizing diagnosis codes to study large patient cohorts, revealing the prevalence of conditions, and demonstrating the potential for long-term disease trend analysis. Meanwhile, natural language processing (NLP) and artificial intelligence (AI) image analysis can bridge the gap between structured and unstructured data, by extracting meaningful information from unstructured fields such as free text or imaging. NLP has proven effective in the identification of RA patients and research outcomes, while AI image analysis has enabled the discovery of hidden findings in cardiovascular assessments, establishing a basis for the assessment of comorbidities in RA. However, while the benefits of using RWD are substantial, challenges remain. Ensuring comprehensive data capture, managing missing data, and improving data detection are key areas requiring attention. The involvement of clinicians and researchers in rheumatology is crucial in unlocking the potential of RWD studies, offering the promise of significant improvements in disease characterization and patient health outcomes.

Rheumatoid arthritis (RA) is the most common rheumatologic disease characterized by inflammation with a definite relationship with heart disease. Impaired immunity, chronic inflammation, genetic susceptibility, autonomic nervous system (ANS) dysfunction, altered metabolic profile have been blamed for ischemic and non-ischemic heart diseases in RA patients. Medications used in RA treatment can also modify the risk of heart diseases by different mechanisms. Understanding the pathogenesis is essential to prevent early cardiac dysfunction in RA patients. Fundamental cellular and molecular mechanisms of pathogenesis await further elucidation. Disease management is of great importance since the cardiovascular (CV) events are known to be reduced with low disease activity. Discovery of new mechanisms will pave the way for the development of novel treatment modalities. This review highlights the epidemiology, pathogenesis, risk factors, diagnosis and screening methods and management of CV comorbidities in RA patients. Besides impact of RA medications and exercise on CV risk are summarized.

Rheumatoid arthritis (RA) is an inflammatory arthritis that affects synovial joints, and it is not surprising that the temporomandibular joint (TMJ), a synovial joint, is also affected. However, TMJ is rarely the first affected joint in the course of RA. Often, RA patients come to the physician with more focus on complaints in other peripheral joints. Therefore, asking TMJ complaints and symptoms, and TMJ examination in RA patients is often neglected by doctors too, because they focus more on other joints. This neglect may cause serious damage to the joints and cause disability. Examination of TMJs, which is a crucial component of vital activities such as nutrition and speech, should be added to the routine. Also, further studies may be focused on adding TMJ assessment to disease activity scales and health assessment questionnaires.

Rheumatoid arthritis (RA) is a chronic immune-mediated inflammatory disease of unknown origin. Although it mainly affects joints, it can have extra-articular manifestations, with the lung being one of the most affected organs. The estimated incidence of diffuse interstitial lung disease (ILD) is 4 cases to 4.5 cases/1000 patient-years. The most common forms are usual interstitial pneumonia (UIP) and nonspecific interstitial pneumonia (NSIP; 44–46% and 33–44%, respectively), although there have been reports of cases involving all the histopathologic forms described for the disease. RA-ILD is associated with specific risk factors, such as male sex, older age, smoking, and positive rheumatoid factor (RF) and anti-citrullinated peptide antibody (ACPA) levels. The clinical course of ILD ranges from asymptomatic forms to rapidly progressive disease in a minority of cases. It has been estimated that the risk of death is up to 3-fold higher in patients with RA-ILD than in those without ILD, making RA-ILD the second most common cause of death after cardiovascular disease. Treatment of RA has improved considerably in recent years with the advent of biologics; however, the use of these agents has been restricted in patients with ILD owing to safety concerns. Many doubts continue to surround the treatment of patients with RA-ILD. Therefore, the objective of this review is to examine the current management of affected patients in terms of diagnosis, treatment, and follow-up.