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Abstract Background In rheumatoid arthritis (RA), the activation of T and B cell clones specific for self-antigens leads to the chronic inflammation of the synovium. Here, we perform an in-depth quantitative analysis of the seven chains that comprise the adaptive immune receptor repertoire (AIRR) in RA. Results In comparison to controls, we show that RA patients have multiple and strong differences in the B cell receptor repertoire including reduced diversity as well as altered isotype, chain, and segment frequencies. We demonstrate that therapeutic tumor necrosis factor inhibition partially restores this alteration but find a profound difference in the underlying biochemical reactivities between responders and non-responders. Combining the AIRR with HLA typing, we identify the specific T cell receptor repertoire associated with disease risk variants. Integrating these features, we further develop a molecular classifier that shows the utility of the AIRR as a diagnostic tool. Conclusions Simultaneous sequencing of the seven chains of the human AIRR reveals novel features associated with the disease and clinically relevant phenotypes, including response to therapy. These findings show the unique potential of AIRR to address precision medicine in immune-related diseases.

Objective To assess organ damage, with emphasis on the cardiovascular system, over the different stages of the disease in a large SLE cohort.Methods Multicentre, longitudinal study of a cohort of 4219 patients with SLE enrolled in the Spanish Society of Rheumatology Lupus Registry. Organ damage was ascertained using the Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index (SDI). We longitudinally analysed SDI (globally and for each domain) over time only in the 1274 patients whose dates of damage events had been recorded.Results During the first year after diagnosis of SLE, 20% of the 1274 patients presented with new damage manifestations. At years 2 and 3, new damage was recorded in 11% and 9% of patients. The annual percentage of patients with new damage after year 5 decreased to 5%. In the first year with the disease, most damage was accumulated in the musculoskeletal, neuropsychiatric and renal systems; in later stages, most damage was in the musculoskeletal, ocular and cardiovascular systems. Considering ‘cerebrovascular accident’ and ‘claudication for 6 months’ as cardiovascular items, the cardiovascular system was the second most affected system during the early stages of SLE, with 19% of the patients who presented with damage affected at first year after diagnosis. During the late stages, 20–25% of the patients presenting with new damage did so in this modified cardiovascular domain of the SDI.Conclusions New damage occurs mainly during the first year following diagnosis of SLE. Cardiovascular damage is relevant in both the early and the late stages of the disease. Strategies to prevent cardiovascular damage should be implemented early after diagnosis of SLE.

Objective To evaluate cognitive function in patients with rheumatoid arthritis (RA) and inflammatory activity.Patients and methods We performed a cross-sectional study of a cohort of patients with RA initiating their first biological treatment due to moderate-to-high inflammation and a healthy control group (no inflammatory diseases) matched for age, sex and educational level. All participants underwent a comprehensive neuropsychological assessment, with cognitive impairment defined as a Montreal Cognitive Assessment (MoCA) score

Objective: To evaluate sleep disorders and associated factors in patients with rheumatoid-arthritis-associated interstitial lung disease (RA-ILD). Methods: We performed an observational study of 35 patients with RA-ILD (cases) and 35 age- and sex-matched RA patients without ILD (controls). We evaluated sleep disorders (Oviedo Sleep Questionnaire), positive psychological factors (resilience using the Wagnild and Young Resilience Scale, emotional intelligence using the 24-item Trait Meta-Mood Scale), anxiety and depression (Hospital Anxiety and Depression Scale), quality of life (36-item short-form survey), and fatigue (Functional Assessment of Chronic Illness Therapy Questionnaire). Other variables studied included the Charlson Comorbidity Index (CCI) and RA activity according to the DAS28-ESR. Results: Compared to the controls, the cases were characterized by poorer sleep quality with a higher prevalence of insomnia (42% vs. 20%; p = 0.039), greater severity of insomnia (p = 0.001), and lower sleep satisfaction (p = 0.033). They also had poorer resilience and emotional recovery and more severe anxiety and depression. A diagnosis of ILD was the only factor independently associated with the three dimensions of sleep quality. The predictors of poorer sleep satisfaction in patients with RA-ILD were age (β = −0.379), DAS28-ESR (β = −0.331), and usual interstitial pneumonia pattern (β = −0.438). The predictors of insomnia were DAS28-ESR (β = 0.294), resilience (β = −0.352), and CCI (β = 0.377). Conclusions: RA-ILD is associated with significant sleep disorders. RA-ILD seems to be an independent risk factor for sleep alterations, with a greater impact on insomnia. Age, disease activity, and comorbidity also play a role in sleep disorders in patients with RA-ILD.

Objective To develop an improved score for prediction of severe infection in patients with systemic lupus erythematosus (SLE), namely, the SLE Severe Infection Score-Revised (SLESIS-R) and to validate it in a large multicentre lupus cohort.Methods We used data from the prospective phase of RELESSER (RELESSER-PROS), the SLE register of the Spanish Society of Rheumatology. A multivariable logistic model was constructed taking into account the variables already forming the SLESIS score, plus all other potential predictors identified in a literature review. Performance was analysed using the C-statistic and the area under the receiver operating characteristic curve (AUROC). Internal validation was carried out using a 100-sample bootstrapping procedure. ORs were transformed into score items, and the AUROC was used to determine performance.Results A total of 1459 patients who had completed 1 year of follow-up were included in the development cohort (mean age, 49±13 years; 90% women). Twenty-five (1.7%) had experienced ≥1 severe infection. According to the adjusted multivariate model, severe infection could be predicted from four variables: age (years) ≥60, previous SLE-related hospitalisation, previous serious infection and glucocorticoid dose. A score was built from the best model, taking values from 0 to 17. The AUROC was 0.861 (0.777–0.946). The cut-off chosen was ≥6, which exhibited an accuracy of 85.9% and a positive likelihood ratio of 5.48.Conclusions SLESIS-R is an accurate and feasible instrument for predicting infections in patients with SLE. SLESIS-R could help to make informed decisions on the use of immunosuppressants and the implementation of preventive measures.

Objectives To describe the severity and impact of gastrointestinal involvement in patients with systemic sclerosis (SSc) and identify associated factors.Patients and methods Non-controlled cross-sectional study of patients with SSc (2013 American College of Rheumatology/European League Against Rheumatism criteria). The main variables were severity of gastrointestinal involvement according to the University of California, Los Angeles Scleroderma Clinical Trials Consortium Gastrointestinal Tract 2.0 instrument (UCLA SCTC GIT 2.0) and dysphagia according to the Eating Assessment Tool-10 (EAT-10). We evaluated reflux, distension, diarrhoea, faecal soilage, constipation, emotional well-being and social functioning, as well as dysphagia. Clinical and epidemiological data were collected using the Mini Nutritional Assessment Short Form (MNA-SF) and the EuroQol-5D-3L. The degree of skin fibrosis was assessed using the modified Rodnan skin score (mRSS). Multivariate models were constructed to analyse factors associated with gastrointestinal involvement and dysphagia.Results Of the 75 patients with SSc included, 58.7% had moderate, severe or very severe reflux, 57.4% had constipation according to UCLA SCTC GIT 2.0 and 49.7% had abdominal distension. Gastrointestinal symptoms interfered significantly with social functioning (42.7%) and emotional well-being (40.0%). Dysphagia (EAT-10≥3) was recorded in 52% of patients, and according to MNA-SF poor nutrition in 30.7%, and clear malnutrition requiring a nutritional intervention in 5.3%. Multivariate adjustment revealed an association between severity of gastrointestinal symptoms according to the mRSS (β=0.249; p=0.002) and Visual Analogue Scale 3-Level EuroQol-5D (VAS-EQ-5D-3L) (β=–0.302; p=0.001), whereas presence of dysphagia was associated with the mRSS (OR=2.794; p=0.015), VAS-EQ-5D-3L (OR=0.950; p=0.005) and malnutrition (MNA-SF≤7; OR=3.920; p=0.041).Conclusions Patients with SSc frequently present severe gastrointestinal symptoms. These are associated with poor quality of life, more severe skin involvement and malnutrition.

ObjectiveTo describe severe infection, foci of infection, microorganisms, associated factors, and impact on mortality in patients with rheumatoid arthritis–associated interstitial lung disease (RA-ILD).Patients and methodsThe study was based on a multicenter prospective cohort of patients with RA-ILD followed up from 2015 to 2023. The main outcome measures were incident severe infection and fatal infection. We evaluated infectious foci, etiologic agents, vaccination status, variables associated with lung function, and clinical-therapeutic variables in RA. The incidence rate (IR) for infection and mortality was calculated per 100 person-years, and 3 multivariate models were constructed to explore factors associated with infection.ResultsWe followed up 148 patients with RA-ILD for a median 56.7 months (699.3 person-years). During this period, 142 patients (96%) had at least 1 infection. A total of 368 infectious episodes were recorded, with an IR of 52.6 per 100 person-years. Of the 48 patients who died, 65% did so from infection. Respiratory infections were the most common first infection (74%), infection overall (74%), and fatal infection (80%) and were caused mostly by SARS CoV-2, Streptococcus pneumoniae, Pseudomonas aeruginosa, and influenza A virus. The factors associated with an increased risk of infection and death in patients with RA-ILD were age, inflammatory activity, and therapy with corticosteroids and immunosuppressants.ConclusionPatients with RA-ILD have a high risk of serious infection, especially respiratory infection. Infection develops early, is recurrent, and is frequently fatal. The presence of associated factors such as advanced age, joint inflammation, and treatment highlight the importance of integrated and preventive medical care.

Recent studies point to intestinal permeability as an important factor in the establishment and development of rheumatoid arthritis (RA). Tight junctions (TJs) play a major role in intestinal homeostasis. The alteration of this homeostasis is related to RA. Furthermore, RA patients present dysbiosis and a lower microbiota diversity compared to healthy individuals. A cross-sectional study including RA patients and sex- and age-matched healthy controls was performed. The quantification of TJ proteins was carried out by ELISA. Gut microbiota was evaluated by NGS platform Ion Torrent S. The inflammatory variables included were DAS28, CRP, inflammatory cytokines (IL-6, IL-1, TNF-α) and oxidised LDL. Claudin-1 levels showed significant differences between groups. Results evidenced a correlation between claudin-1 values and age (r: −0.293; p < 0.05), IL6 (r: −0.290; p < 0.05) and CRP (r: −0.327; p < 0.05), and between zonulin values and both age (r: 0.267; p < 0.05) and TNFα (r: 0.266; p < 0.05). Moreover, claudin-1 and CRP levels are related in RA patients (β: −0.619; p: 0.045), and in patients with high inflammatory activity, the abundance of the genus Veillonella is positively associated with claudin-1 levels (β: 39.000; p: 0.004).

Background: Spondyloarthritis (SpA) is a group of related but phenotypically distinct inflammatory disorders that include axial SpA (axSpA) and psoriatic arthritis (PsA). Information on the characteristics and management of these patients in the real world remains scarce. Objectives: To explore the characteristics and management [disease activity assessment and treatment with secukinumab (SEC) or other biologic disease-modifying antirheumatic drugs (bDMARDs)] of axSpA and PsA patients using natural language processing (NLP) in Electronic Health Records (EHRs). Design: National, multicenter, observational, and retrospective study. Methods: We analyzed free-text and structured clinical information from EHR at three hospitals. All adult patients with axSpA, PsA or non-classified SpA from 2018 to 2021 with minimum follow-up of three months were included when starting SEC or other bDMARDs. Clinical variables were extracted using EHRead ® technology based on Systemized Nomenclature of Medicine-Clinical Terms (SNOMED CT) terminology. Results: Out of 887,735 patients, 758 were included, of which 328 had axSpA [58.5% male; mean (SD) age of 50.7 (12.7) years], 365 PsA [54.8% female, 53.9 (12.4) years], and 65 non-classified SpA. Mean (SD) time since diagnosis was 36.8 (61.0) and 24.1 (35.2) months for axSpA and PsA, respectively. Only 116 axSpA patients (35.3%) had available Ankylosing Spondylitis Disease Activity Score (ASDAS) or Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) at bDMARD onset, of which 61 presented active disease. Disease Activity in PSoriatic Arthritis (DAPSA) or Disease Assessment Score - 28 joints (DAS-28) values at bDMARD onset were available for only 61 PsA (16.7%) patients, with 23 of them having active disease. The number of patients with available tender joint count or swollen joint count assessment was 68 (20.7%) and 59 (18%) for axSpA, and 115 (31.5%) and 119 (32.6%) for PsA, respectively. SEC was used in 63 (19.2%) axSpA patients and in 63 (17.3%) PsA patients. Conclusion: Using NLP, the study showed that around one-third of axSpA and one-sixth of PsA patients have disease activity assessments with ASDAS/BASDAI or DAPSA/DAS-28, respectively, highlighting an area of improvement in these patients’ management.

Objective: To analyze the intestinal microbiota of patients with rheumatoid arthritis (RA) and obesity and a higher percentage of fatty tissue. Methods: Nested case-control study of 80 RA patients and 80 age and sex-matched controls. Obesity was defined as a body mass index ≥ 30, and body composition using dual-energy x-ray absorptiometry. The gut microbiota was analyzed using 16 S rRNA gene sequencing; bioinformatics analysis was performed using QIIME2 and PICRUSt. Other variables included averaged 28-joint Disease Activity Score (DAS28-ESR), cytokines and adipokines. Two multivariate were constructed with obesity and fat mass index (FMI). Results: Obesity was more frequent in RA patients than in controls (36.3 % vs 25.1 %; p = 0.026), as was a higher FMI value (mean [SE]=11.6 [3.9] vs 10.2 [3.9]; p = 0.032). Alpha and beta diversity analysis revealed differences in gut microbiota between RA patients with and without obesity. Dialister and Odoribacter were more abundant in RA patients with obesity than in RA patients without obesity, while the genus Clostridium was more abundant in RA patients without obesity. The factors associated with obesity in RA patients were age (OR [95 % CI], 1.09 [1.02–1.17]), mean DAS28-ESR (OR [95 % CI], 1.46 [1.12–1.67]), leptin levels (OR [95 % CI], 1.06 [1.01–1.10]), the genus Dialister (OR [95 % CI], 1.03 [1.01–1.07]), and the genus Clostridium (OR [95 % CI], 0.013 [0.00–0.36]). The associations observed for FMI were similar. Conclusions: In patients with RA, obesity, and a higher percentage of fatty tissue, intestinal microbiota differed from that of controls and of the other patients. The genus Dialister was associated with obesity and FMI.

Objectives: To describe comorbid conditions in patients with rheumatoid arthritis–associated interstitial lung disease (RA-ILD) and to analyze factors associated with multimorbidity. Methods: Nested case-cohort study of 2 prospective cohorts: one with RA-ILD (cases) and another with RA but not ILD (controls). The cohorts were matched for age, sex, and time since diagnosis. Multimorbidity was defined as the co-occurrence of 2 or more chronic diseases, in addition to RA and ILD. We evaluated the comorbid conditions included in the Charlson Comorbidity Index, cardiovascular risk factors, neuropsychiatric conditions, and other frequent conditions in RA. We also recorded clinical-laboratory variables, inflammatory activity according to the 28-joint Disease Activity Score, C-reactive protein (CRP), physical function, and pulmonary function. We performed 2 multivariate analyses to identify factors associated with multimorbidity in RA and RA-ILD. Results: The final study population comprised 110 cases and 104 controls. Multimorbidity was more frequent among cases than controls (80 [72.7] vs 60 [57.7]; p = 0.021). In both groups, multimorbidity was associated with ILD (OR [95% CI] 1.92 [1.03–3.59]; p = 0.039), age (OR [95% CI] 1.05 [1.01–1.08]; p = 0.004), CRP (OR [95% CI] 1.16 [1.05–1.29]; p = 0.003), and erosions (OR [95% CI] 1.05 [1.01–1.08]; p = 0.004); in the cases, it was associated with CRP (OR [95% CI] 1.17 [1.01–1.35]; p = 0.027), anti–citrullinated peptide antibody (OR [95% CI] 1.23 [1.14–13.02]; p = 0.049), and forced vital capacity (OR [95% CI] 0.79 [0.96–0.99]; p = 0.036). Conclusion: In patients with RA, multimorbidity was associated with ILD, systemic inflammation, and advanced age.

ObjectivesTo describe the characteristics of patients between late-onset rheumatoid arthritis (LORA) with young-onset (YORA), and analyze their association with cumulative inflammatory burden.MethodsWe performed a nested cohort study in a prospective cohort comprising 110 patients with rheumatoid arthritis (RA) and 110 age- and sex-matched controls. The main variable was cumulative inflammatory activity according to the 28-joint Disease Activity Score with erythrocyte sedimentation rate (DAS28-ESR). High activity was defined as DAS28 ≥ 3.2 and low activity as DAS28 < 3.2. The other variables recorded were inflammatory cytokines, physical function, and comorbid conditions. Two multivariate models were run to identify factors associated with cumulative inflammatory activity.ResultsA total of 22/110 patients (20%) met the criteria for LORA (≥ 60 years). Patients with LORA more frequently had comorbid conditions than patients with YORA and controls. Compared with YORA patients, more LORA patients had cumulative high inflammatory activity from onset [13 (59%) vs. 28 (31%); p = 0.018] and high values for CRP (p = 0.039) and IL-6 (p = 0.045). Cumulative high inflammatory activity in patients with RA was associated with LORA [OR (95% CI) 4.69 (1.49–10.71); p = 0.008], smoking [OR (95% CI) 2.07 (1.13–3.78); p = 0.017], anti–citrullinated peptide antibody [OR (95% CI) 3.24 (1.15–9.13); p = 0.025], average Health Assessment Questionnaire (HAQ) score [OR (95% CI) 2.09 (1.03–14.23); p = 0.034], and physical activity [OR (95% CI) 0.99 (0.99–0.99); p = 0.010]. The second model revealed similar associations with inflammatory activity in patients with LORA.ConclusionControl of inflammation after diagnosis is poorer and comorbidity more frequent in patients with LORA than in YORA patients and healthy controls.

Objective: To analyze the gut microbiota of patients with rheumatoid arthritis (RA) according to disease activity. Methods: An observational cross-sectional study of 110 patients with RA and 110 age- and sex-matched controls was performed. Patients were classified according to the disease activity (DAS28 ≥3.2 or DAS28

Objective: To describe the frequency of malnutrition in older patients with rheumatoid arthritis (RA) and investigate associated risk factors. Methods: This multicenter, cross-sectional study included participants aged ≥65 years who met the 2010 ACR/EULAR criteria for RA. Nutritional status was assessed using the Mini Nutritional Assessment Short Form (MNA-SF) and based on variables, such as albumin level, the Geriatric Nutritional Risk Index (GNRI), and vitamin D. Data were also collected on epidemiological variables, inflammatory disease activity, quality of life, physical function, and frailty. Multivariate models were used to study factors associated with nutritional status. Results: The study population comprised 76 RA patients aged ≥65 years, of whom 68.4% had a normal nutritional status, and 31.5% had an impaired nutritional status: 28.9% were at risk of malnutrition, and 2.6% were malnourished. Additionally, 10% had albumin levels p = 0.035), DAS28-ESR (1.8 [1.0–3.2]; p = 0.024), and EuroQoL-5D-5L (0.9 [0.9–0.9]; p = 0.040). Furthermore, the GNRI was associated with the MNA score (0.06 [0.0–0.1]; p = 0.014). Conclusions: Approximately one-third of older patients with RA have impaired nutritional status. Older age, higher inflammatory disease activity, and decreased quality of life are associated with impaired nutritional status. The MNA and GNRI are valuable tools for assessing the nutritional status of patients with RA.

Summary: Background: Rheumatoid arthritis (RA) is a chronic, immune-mediated inflammatory disease of the joints that has been associated with variation in the peripheral blood methylome. In this study, we aim to identify epigenetic variation that is associated with the response to tumor necrosis factor inhibitor (TNFi) therapy. Methods: Peripheral blood genome-wide DNA methylation profiles were analyzed in a discovery cohort of 62 RA patients at baseline and at week 12 of TNFi therapy. DNA methylation of individual CpG sites and enrichment of biological pathways were evaluated for their association with drug response. Using a novel cell deconvolution approach, altered DNA methylation associated with TNFi response was also tested in the six main immune cell types in blood. Validation of the results was performed in an independent longitudinal cohort of 60 RA patients. Findings: Treatment with TNFi was associated with significant longitudinal peripheral blood methylation changes in biological pathways related to RA (FDR

Abstract Background Blocking of the Tumor Necrosis Factor (TNF) activity is a successful therapeutic approach for 50–60% of rheumatoid arthritis (RA) patients. However, there are yet no biomarkers to stratify patients for anti-TNF therapy. Rheumatoid factor (RF) and anti-cyclic-citrullinated antibodies (anti-CCP) have been evaluated as biomarkers of response but the results have shown limited consistency. Anti-carbamylated protein (anti-CarP) and anti-peptidylarginine deiminase type 4 (anti-PAD4) antibodies have been much less studied. Despite being linked to common immune processes, the interaction between these markers has not been evaluated yet. Our aim was to analyze the interaction between these four antibodies in relation to the response to anti-TNF therapy. Methods For this objective, a prospective cohort of n = 80 RA patients starting anti-TNF therapy was recruited. Serum determinations at baseline were performed for RF, anti-CCP, anti-CarP and anti-PAD4 antibodies using enzyme-linked immunosorbent assays (ELISA). The clinical response to anti-TNF therapy was determined at week 12 using the change in DAS28 score. Association was performed using multivariate linear regression adjusting for baseline DAS28, sex and age. Results The interaction between pairs of antibodies was tested by the addition of an interaction term. We found two highly significant antibody interactions associated with treatment response: anti-CarP with anti-PAD4 (p = 0.0062), and anti-CCP with RF (p = 0.00068). The latter antibody interaction was replicated in an independent retrospective cohort of RA patients (n = 199, p = 0.04). Conclusions The results of this study suggest that antibody interaction effects are important factors in the response to anti-TNF therapy in RA.

Objective: To describe the prevalence of sarcopenia in rheumatoid arthritis (RA) patients aged ≥65 years and identify the risk factors associated with sarcopenia. Methods: This is a multicenter, controlled, cross-sectional study of 76 RA patients and 76 age- and sex-matched healthy controls. Sarcopenia was defined according to the revised criteria of the European Working Group on Sarcopenia in Older People (EWGSOP2). Whole-body dual-energy X-ray absorptiometry (DXA) was performed. Binary regression was used to assess the relationship between sarcopenia and sex, age, duration of RA, Mini Nutritional Assessment (MNA) score, and Short Physical Performance Battery (SPPB) score in patients with RA. Results: Nearly 80% of participants were female, and the average age was >70 years. Patients with RA had lower muscle mass and greater adiposity (fat-to-muscle ratio mean [SD] 0.9 [0.2] vs. 0.8 [0.2]; p = 0.017) than controls, mainly in the central area (android/gynoid ratio, median [p25–p75]: 1.0 [0.9–1.2] vs. 0.9 [0.8–1.1]; p < 0.001). Twelve patients (15.8%) and three controls (3.9%) had confirmed sarcopenia (p = 0.014). Sarcopenic obesity was observed in 8/76 patients with RA (10.5%) and in 1/76 controls (1.3%) (p = 0.016). The factors associated with sarcopenia were male sex (OR [95% CI]: 9.3 [1.1–80.4]; p = 0.042), disease duration (OR [95% CI]: 1.1 [1.0–1.2]; p = 0.012), and nutritional status according to the MNA (OR [95% CI]: 0.7 [0.5–0.9]; p = 0.042). Conclusions: Our results suggest that patients with RA aged ≥65 years may be at increased risk for sarcopenia, adiposity, and malnutrition (especially male patients with long-standing disease) and have poor nutritional status.

This study aimed to identify inflammatory factors and soluble cytokines that act as biomarkers in the diagnosis and prognosis of rheumatoid arthritis-associated interstitial lung disease (RA-ILD). We performed a nested prospective observational case–control study of patients with RA-ILD matched by sex, age, and time since the diagnosis of RA. All participants underwent pulmonary function testing and high-resolution computed tomography. ILD was defined according to the criteria of the American Thoracic Society/European Respiratory Society; the progression of lung disease was defined as the worsening of FVC > 10% or DLCO > 15%. Inflammation-related variables included the inflammatory activity measured using the DAS28-ESR and a multiplex cytokine assay. Two Cox regression models were run to identify factors associated with ILD and the progression of ILD. The study population comprised 70 patients: 35 patients with RA-ILD (cases) and 35 RA patients without ILD (controls). A greater percentage of cases had higher DAS28-ESR (p = 0.032) and HAQ values (p = 0.003). The variables associated with RA-ILD in the Cox regression analysis were disease activity (DAS28) (HR [95% CI], 2.47 [1.17–5.22]; p = 0.017) and high levels of ACPA (HR [95% CI], 2.90 [1.24–6.78]; p = 0.014), IL-18 in pg/mL (HR [95% CI], 1.06 [1.00–1.12]; p = 0.044), MCP-1/CCL2 in pg/mL (HR [95% CI], 1.03 [1.00–1.06]; p = 0.049), and SDF-1 in pg/mL (HR [95% CI], 1.00 [1.00–1.00]; p = 0.010). The only variable associated with the progression of ILD was IL-18 in pg/mL (HR [95% CI], 1.25 [1.07–1.46]; p = 0.004). Our data support that the inflammatory activity was higher in patients with RA-ILD than RA patients without ILD. Some cytokines were associated with both diagnosis and poorer prognosis in patients with RA-ILD.