"Inflammatory or non-inflammatory pain in inflammatory arthritis - How to differentiate it?"

Pain is a significant issue in rheumatoid arthritis (RA) and psoriatic arthritis (PSA) and can have a negative impact on patients' quality of life. Despite optimal control of inflammatory disease, residual chronic pain remains a major unmet medical need in RA. Pain in RA can be secondary to inflammation but can also generate neuroendocrine responses that initiate neurogenic inflammation and enhance cytokine release, leading to persistent hyperalgesia. In addition to well-known cytokines such as TNFα and IL-6, other cytokines and the JAK-STAT pathway play a role in pain modulation and inflammation. The development of chronic pain in RA involves processes beyond inflammation or structural damage. Residual pain is often observed in patients even after achieving remission or low disease activity, suggesting the involvement of non-inflammatory and central sensitization mechanisms. Moreover, fibromyalgia syndrome (FMS) is prevalent in RA patients and may contribute to persistent pain. Factors such as depression, sleep disturbance, and pro-inflammatory cytokines may contribute to the development of fibromyalgia in RA. It is essential to identify and diagnose concomitant FMS in RA patients to better manage their symptoms. Further research is needed to unravel the complexities of pain in RA. Finally, recent studies have shown that JAK inhibitors effectively reduce residual pain in RA patients, suggesting pain-reducing effects independent of their anti-inflammatory properties.

Assessment of Epidemiology and Clinical Profile of Psoriatic Arthritis Patients in India.

BACKGROUND: Psoriasis is an inflammatory skin disease associated with significant comorbidity. However, the characteristics of patients with psoriasis are not well documented in India, and a more detailed understanding is needed to delineate the epidemiologic profile at the regional level for better management of psoriasis. Herein, we reported the clinical profile and demographic pattern of psoriasis to further understand its burden in the Indian setting. METHODS: We conducted a retrospective observational study of patients diagnosed with psoriasis who fulfilled the classification criteria for psoriatic arthritis (CASPAR) criteria. Patients were included from the rheumatology outpatient department of Kokilaben Dhirubhai Ambani Hospital and Medical Research Institute in Mumbai, India. The outcomes included demographic and clinical profiles, patterns of joint involvement, and comorbidities associated with psoriasis. A p-value of <0.05 was considered significant. RESULTS: We enrolled 60 patients, with a mean age of 50.87 years and a higher proportion of females (62%). The majority of patients with less than five joints had associated comorbidities (40 out of 60). Psoriatic arthritis (PsA) occurred in 41 patients [mean ± standard deviation (SD) age of onset-38.88 ± 13.24 years], with the highest occurrence in the 30-50 years (53.3%). The majority of patients with PsA developed it within 2 to ≥5 years of psoriasis occurrence. We did not find any significant correlation between the occurrence of PsA and comorbidities, as well as the duration of PsA and the number of joints (p = 0.152). Pitting and enthesitis were the most common morphological changes noted in almost half of the patients. CONCLUSION: Our study provides an overview of the epidemiologic and clinical characteristics of psoriasis patients in India. These findings could be useful for early diagnosis of PsA and help clinicians in assessing the progression of psoriasis into PsA.

Comparative profiling of serum biomarkers and ATR-FTIR spectroscopy for differential diagnosis of patients with rheumatoid and psoriatic arthritis - a pilot study.

BACKGROUND: Rheumatoid arthritis (RA) and psoriatic arthritis (PsA) are chronic inflammatory diseases in which innate and adaptive responses of the immune system are induced. RA and PsA have complex signaling pathways. Despite the differences in their clinical presentation, there is a great demand for fast and accurate diagnosis of diseases to implement treatment and plan an individual therapeutic strategy quickly. In this report, we present the results of differential diagnosis of patients with RA and PsA and healthy subjects (C, control group), allowing for reliable differentiation of groups of rheumatoid patients based on biochemical parameters, attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectra, and combined data sets. MATERIALS AND METHODS: Biochemical analyses, ELISA (enzyme-linked immunosorbent assays), and multiplex assays were conducted for blood sera from patients with RA (n = 32), patients with PsA (n = 28), and the control group (n = 18). ATR-FTIR spectra were collected for lyophilized sera. RESULTS: The combination of six biochemical parameters (WBC, ESR, RF, CRP, HCC-4/CCL16, and HMGB1/HMGB) allowed the development of the partial least squares discriminant analysis (PLS-DA) model with an overall accuracy (OA) of 80% for test samples. The best separation between RA, PsA, and the control group was obtained utilizing spectral data. Using the interval PLS algorithm (iPLS) specific spectral ranges were selected and a classifier characterized by OA value for test set equal to 88% was obtained. This parameter, for the hybrid PLS-DA model constructed using selected biochemical parameters and a significantly reduced number of spectral variables, reached the level of 84%. CONCLUSIONS: PLS-DA models developed on the basis of spectral data enable effective differentiation of patients with RA, patients with PsA, and healthy subjects. They appeared to be insensitive to existing inflammation processes which opens interesting perspectives for new diagnostic tests and algorithms for identification of patients with RA and PsA.

Raftlin - a potential biomarker for axial spondyloarthritis and psoriatic arthritis: An observational study.

Our aim is to evaluate serum Raftlin levels as a biomarker for diagnosing and monitoring disease activity in patients with axial spondyloarthritis (axSpA) and Psoriatic arthritis (PsA). This trial included 40 axSpA patients, 40 PsA patients, and 40 healthy participants as the control group. Disease activity was assessed with Ankylosing Spondylitis Disease Activity Score for axSpA patients and The Disease Activity Index for Psoriatic Arthritis for PsA patients. The Spondyloarthritis Research Consortium of Canada index, health assessment questionnaire-disability index, and numeric rating scale were used to evaluate the enthesitis severity, disability, and pain status of all patients. Serum Raftlin levels were determined using the ELISA method. The 3 groups had no statistical differences regarding gender, age, weight, height, BMI, educational status, and exercise habits. The axSpA group had higher Raftlin levels than the PsA and control groups, and Raftlin levels were statistically significant in predicting the likelihood of axSpA. We found no statistically significant differences between the PsA and control groups. We found no statistically significant difference in Raftlin levels in HLA-B27 positive versus HLA-B27 negative patients in both axSpA and PsA groups. Our results also did not detect any correlation of Raftlin levels with Ankylosing Spondylitis Disease Activity Score, C-reactive protein, erythrocyte sedimentation rate, health assessment questionnaire-disability index, numeric rating scale, and Spondyloarthritis Research Consortium of Canada index in axSpA patients. Receiver operating characteristic analysis determined that Raftlin level ≥ 6.31 ng/mL discriminates axSpA from normal individuals with 92.5% sensitivity, 59% specificity, and an area under the curve of 0.738. Our results demonstrate that although serum Raftlin levels are elevated in axSpA patients, Raftlin cannot be used as an alone diagnostic marker for axSpA. Furthermore, it was not found to be related to the monitoring of disease activity, the level of pain, disability, or severity of enthesitis. This study is prospectively registered at www.clinicaltrials.gov (ID: NCT05771389).

[Clinical and instrumental characteristics of psoriatic arthritis in men and women. Data from a cohort observational study].

AIM: To study and compare the clinical and imaging characteristics of psoriatic arthritis (PsA) in men and women. MATERIALS AND METHODS: The study included 956 PsA patients observed in the Russian register, 411 (43%) men and 545 (57%) women. The average age of men/women was 46.0±16.50/50.7±17.20 years (p<0.001), the duration of PsA was 9.9±6.4/10.3±7.6 years (p>0.05), the age at the time of PsA establishment was 37.1±12.30/41.8±13.5 years (p<0.001). Rheumatological examination, X-ray of the pelvis, hands, feet were performed, the LEI, plantar fascia tenderness, body surface area (BSA), body mass index (BMI), CRP, HLA-B27 were determined. Patients filled out assessment scales of pain (Pain), disease activity (patient global assessment of disease activity - PGA), questionnaires HAQ-DI. The indices of Disease Activity in PSoriatic Arthritis (DAPSA), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), criteria of minimal disease activity (MDA) were evaluated. RESULTS: The following differences in the course of PsA in men/women were revealed: X-ray sacroiliitis was detected in 175 (42.6%)/153 (28.1%); p<0.001; the presence of erosions of the joints of the hands and feet - 138 (33.6%)/170 (31.2%); p=0.435; LEI≥3 - 34 (11.4%)/78 (20.9%); p=0.001; Pain - at 48.5±22.60/51.5±22.80 mm VAS; p=0.043; PGA - 50.2±23.07/54.0±21.91 mm VAS; p=0.010; moderate and severe functional disorders (HAQ-DI) were more often observed in women (p=0.002 and p<0.001, respectively); the average value of DAPSA is 26.4±16.8/31.9±22.58; p<0.001; average BASDAI value: 2.7±2.83/1.8±2.78; p<0.001; MDA was achieved in 13 (3.2%)/22 (4.1%); p=0.486; BSA>10% - 54 (13.1%)/102 (18.7%); p=0.021; comorbid diseases - 154 (37%)/277 (51%); p<0.001. At the time of inclusion in the register, the proportion of patients receiving biologic disease-modifying anti-rheumatic drugs was higher in the group of men. CONCLUSION: Our data, based on a large cohort study, demonstrate that PsA debuts in women at a later age than in men, the course of the disease is characterized by higher activity of peripheral arthritis, more pronounced functional disorders and a high prevalence of comorbid diseases. This creates a heavier burden of PsA in women and indicates that gender is an important characteristic of the patient that should be used to predict the course, therapeutic response and progression of the disease.

[Hypogonadism in men with inflammatory joint diseases: Frequency and clinical characteristics].

AIM: To study the frequency of hypogonadism (HG) in men with rheumatoid arthritis (RA), ankylosing spondylitis (AS) and psoriatic arthritis (PsA) and to evaluate the impact of HG on the course of RA and and concomitant diseases. MATERIALS AND METHODS: A single-stage continuous study included 170 men with RA, 57 men with AS and 85 men with PsA, who were hospitalized at the Nasonova Research Institute of Rheumatology. Patients were assessed for total testosterone (ТS) levels and subsequently divided into subgroups with normal (>12 nmol/l) and reduced levels. An intergroup comparison was carried out on the main indicators used in clinical rheumatological practice to assess the stage, activity and other medical and demographic characteristics of rheumatic disease, as well as on concomitant conditions. The second stage of the study involved a pairwise intergroup comparison among patients with HG with RA, AS and PsA. RESULTS: The incidence of ТS deficiency among patients with RA was 24.1%, among patients with AS - 17.5%, and with PsA - 31.8%. In patients with RA, HG was associated with a significantly higher mean body mass index, higher fasting blood glucose and uric acid, higher erythrocyte sedimentation rate and anemia. Patients with AS with HG had significantly lower hemoglobin levels and more frequent anemia, as well as higher levels of C-reactive protein and erythrocyte sedimentation rate. In PsA, older age was observed in the androgen deficiency group, as well as higher body mass index and fasting glucose levels; obesity was more common. An intergroup comparison of quantitative and qualitative indicators between patients with androgen deficiency in all three rheumatic diseases (RDs) did not reveal significant differences in the average concentrations of ТS, luteinizing hormone, sex hormone binding globulin, experience of RD, laboratory markers of inflammatory activity, as well as glucose and uric acid. A similar incidence of diabetes mellitus, obesity and anemia was noted for all three nosologies. CONCLUSION: ТS levels and the presence of HG were not associated with the stage and activity of RD, but ТS deficiency was accompanied by higher laboratory indicators of inflammatory activity, lower hemoglobin values, and metabolic disorders. Patients with HG, regardless of nosology, had similar levels of sex hormones and indicators reflecting RD and concomitant conditions.

Deep learning-based classification of erosion, synovitis and osteitis in hand MRI of patients with inflammatory arthritis.

OBJECTIVES: To train, test and validate the performance of a convolutional neural network (CNN)-based approach for the automated assessment of bone erosions, osteitis and synovitis in hand MRI of patients with inflammatory arthritis. METHODS: Hand MRIs (coronal T1-weighted, T2-weighted fat-suppressed, T1-weighted fat-suppressed contrast-enhanced) of rheumatoid arthritis (RA) and psoriatic arthritis (PsA) patients from the rheumatology department of the Erlangen University Hospital were assessed by two expert rheumatologists using the Outcome Measures in Rheumatology-validated RA MRI Scoring System and PsA MRI Scoring System scores and were used to train, validate and test CNNs to automatically score erosions, osteitis and synovitis. Scoring performance was compared with human annotations in terms of macro-area under the receiver operating characteristic curve (AUC) and balanced accuracy using fivefold cross-validation. Validation was performed on an independent dataset of MRIs from a second patient cohort. RESULTS: In total, 211 MRIs from 112 patients (14 906 region of interests (ROIs)) were included for training/internal validation using cross-validation and 220 MRIs from 75 patients (11 040 ROIs) for external validation of the networks. The networks achieved high mean (SD) macro-AUC of 92%±1% for erosions, 91%±2% for osteitis and 85%±2% for synovitis. Compared with human annotation, CNNs achieved a high mean Spearman correlation for erosions (90±2%), osteitis (78±8%) and synovitis (69±7%), which remained consistent in the validation dataset. CONCLUSIONS: We developed a CNN-based automated scoring system that allowed a rapid grading of erosions, osteitis and synovitis with good diagnostic accuracy and using less MRI sequences compared with conventional scoring. This CNN-based approach may help develop standardised cost-efficient and time-efficient assessments of hand MRIs for patients with arthritis.

Clinical Validation of Digitally Acquired Clinical Data and Machine Learning Models for Remote Measurement of Psoriasis and Psoriatic Arthritis: A Proof-of-Concept Study.

OBJECTIVE: Psoriatic disease remains underdiagnosed and undertreated. We developed and validated a suite of novel, sensor-based smartphone assessments (Psorcast app) that can be self-administered to measure cutaneous and musculoskeletal signs and symptoms of psoriatic disease. METHODS: Participants with psoriasis (PsO) or psoriatic arthritis (PsA) and healthy controls were recruited between June 5, 2019, and November 10, 2021, at 2 academic medical centers. Concordance and accuracy of digital measures and image-based machine learning models were compared to their analogous clinical measures from trained rheumatologists and dermatologists. RESULTS: Of 104 study participants, 51 (49%) were female and 53 (51%) were male, with a mean age of 42.3 years (SD 12.6). Seventy-nine (76%) participants had PsA, 16 (15.4%) had PsO, and 9 (8.7%) were healthy controls. Digital patient assessment of percent body surface area (BSA) affected with PsO demonstrated very strong concordance (Lin concordance correlation coefficient [CCC] 0.94 [95% CI 0.91-0.96]) with physician-assessed BSA. The in-clinic and remote target plaque physician global assessments showed fair-to-moderate concordance (CCCerythema 0.72 [0.59-0.85]; CCCinduration 0.72 [0.62-0.82]; CCCscaling 0.60 [0.48-0.72]). Machine learning models of hand photos taken by patients accurately identified clinically diagnosed nail PsO with an accuracy of 0.76. The Digital Jar Open assessment categorized physician-assessed upper extremity involvement, considering joint tenderness or enthesitis (AUROC 0.68 [0.47-0.85]). CONCLUSION: The Psorcast digital assessments achieved significant clinical validity, although they require further validation in larger cohorts before use in evidence-based medicine or clinical trial settings. The smartphone software and analysis pipelines from the Psorcast suite are open source and freely available.

Open Access Pan American League of Associations for Rheumatology recommendations for the treatment of psoriatic arthritis

Psoriatic arthritis (PsA) is chronic disease that compromises multiple domains and might be associated with progressive joint damage, increased mortality, functional limitation, and considerably impaired quality of life. Our objective was to generate evidence-based recommendations on the management of PsA in Pan American League of Associations for Rheumatology (PANLAR) countries. We used the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE)-ADOLOPMENT approach to adapt the 2019 recommendations of the European Alliance of Associations for Rheumatology. A working group consisting of rheumatologists from various countries in Latin America identified relevant topics for the treatment of PsA in the region. The methodology team updated the evidence and synthesized the information used to generate the final recommendations. These were then discussed and defined by a panel of 31 rheumatologists from 15 countries. Theses guidelines report 15 recommendations addressing therapeutic targets, use of antiinflammatory agents and corticosteroids, treatment with disease-modifying antirheumatic drugs (conventional synthetic, biologic, and targeted synthetic), therapeutic failure, optimization of biologic therapy, nonpharmacological interventions, assessment tools, and follow-up of patients with PsA. Here we present a set of recommendations to guide decision making in the treatment of PsA in Latin America, based on the best evidence available, considering resources, medical expertise, and the patient's values and preferences. The successful implementation of these recommendations should be based on clinical practice conditions, healthcare settings in each country, and a tailored evaluation of patients.

Natural language processing to identify and characterize spondyloarthritis in clinical practice.

OBJECTIVE: This study aims to use a novel technology based on natural language processing (NLP) to extract clinical information from electronic health records (EHRs) to characterise the clinical profile of patients diagnosed with spondyloarthritis (SpA) at a large-scale hospital. METHODS: An observational, retrospective analysis was conducted on EHR data from all patients with SpA (including psoriatic arthritis (PsA)) at Hospital Universitario La Paz, between 2020 and 2022. Data were collected using Savana Manager, an NLP-based system, enabling the extraction of information from unstructured, free-text EHRs. Variables analysed included demographic data, SpA subtypes, comorbidities and treatments. The performance of the technology in detecting SpA clinical entities was evaluated through precision, recall and F-1 score metrics. RESULTS: From a hospital population of 639 474 patients, 4337 (0.7%) patients had a diagnosis of SpA or their subtypes in their EHR. The population predominantly comprised men (55.3%) with a mean age of 50.9 years. Peripheral SpA (including PsA) was reported in 31.6%, axial SpA in 20.9%, both axial and peripheral SpA in 3.7%, while 43.7% of patients did not have the SpA subtype reported. Common comorbidities included hypertension (25.0%), dyslipidaemia (22.2%) and diabetes mellitus (15.5%). The use of conventional disease-modifying antirheumatic drugs (csDMARDs) and biological DMARDs (bDMARDs) was documented, with methotrexate (25.3% of patients) being the most used csDMARDs and adalimumab (10.6% of patients) the most used bDMARD. The NLP technology demonstrated high precision and recall, with all the assessed F-1 score values over 0.80, indicating reliable data extraction. CONCLUSION: The application of NLP technology facilitated the characterisation of the SpA patient profile, including demographics, clinical features, comorbidities and treatments. This study supports the utility of NLP in enhancing the understanding of SpA and suggests its potential for improving patient management by extracting meaningful information from unstructured EHR data.

Differences between psoriatic arthritis and psoriasis in multi-omics.

We aim to systemically review the genomics, transcriptomics, epigenetics, proteomics, metabonomics and microbiota of psoriatic arthritis and psoriasis, illustrating the differences of these two diseases, broadening our understanding of the pathogenesis of them and providing important clues for valuable biomarkers of earlier diagnosis and treatments. To our knowledge, this is the first study that combine all omics studies from genomics to microbiota and may serve as a reference for future studies to identify the key underlying pathways in psoriatic arthritis.

Safety and effectiveness of apremilast in Japanese patients with psoriatic disease: Results of a post-marketing surveillance study.

The safety and efficacy of apremilast in psoriatic disease has been demonstrated in clinical trials, including in Japanese patients. This post-marketing surveillance study was conducted after approval of apremalast in Japan in 2016 to evaluate the safety and effectiveness of the drug in Japanese patients with plaque psoriasis (PsO) and psoriatic arthritis (PsA) in routine clinical practice. Patients (enrolled between September 1, 2017, and August 31, 2019), were observed for 12 months after apremilast treatment initiation or until discontinuation or withdrawal. Safety was assessed by evaluating adverse reactions (ARs) and serious ARs. Effectiveness measures in PsO included the proportion of patients who achieved global improvement and Physician's Global Assessment (PGA) scores of 0/1 and the change from baseline in the Dermatology Life Quality Index (DLQI) after 6 and 12 months treatment. The safety analysis set included 1063 patients (PsO, n = 992; PsA, n = 127). ARs and serious ARs were reported in 29.4% and 0.7% of patients, respectively; most occurred <1 month after apremilast initiation. There were no reports of fatal ARs, serious infections, hypersensitivity, or vasculitis. No new safety signals were identified. Among the key survey items, gastrointestinal disorders were the most common ARs (21.3%). In patients with PsO, after 6 and 12 months of treatment, effectiveness rates of achieving highly effective or effective global improvement of were 90.9% and 93.8%; PGA 0/1 was achieved by 42.7% and 58.1% of patients; mean decrease from baseline in total DLQI score was 4.2 (p < 0.0001) and 5.7 (p < 0.0001), respectively. Effectiveness was evaluated in a small number of patients with PsA for some measures; after 6 and 12 months of treatment, improvements were observed in global improvement effectiveness rates, Disease Activity Score in 28 Joints score, Visual Analog Scale score, and DLQI score. We conclude that orally administered apremilast was well tolerated and effective in Japanese patients with PsO and/or PsA enrolled in this post-marketing surveillance study.

Missed opportunities for treatment of inflammatory arthritis and factors associated with non-treatment: An observational cohort study in United States Veterans with rheumatoid arthritis, psoriatic arthritis, or ankylosing spondylitis.

OBJECTIVE: To identify factors associated with non-treatment with biologic and non-biologic disease modifying anti-rheumatic drugs (DMARDs) during the 12 months after initial inflammatory arthritis (IA) diagnosis. METHODS: We identified Veterans with incident IA diagnosed in 2007-2019. We assessed time to treatment with Kaplan-Meier curves. We identified associations between non-treatment and factors relating to patients, providers, and the health system with multivariate Generalized Estimation Equation (GEE) log-Poisson. Subgroup analyses included IA subtypes (rheumatoid arthritis [RA], psoriatic arthritis [PsA], and ankylosing spondylitis [AS]) and timeframes of the initial IA diagnosis (2007-11, 2012-15, and 2016-19). RESULTS: Of 18,318 study patients, 40.7 % did not receive treatment within 12 months after diagnosis. In all patients, factors associated with non-treatment included Black race (hazard ratio, 95 % confidence interval: 1.13, 1.08-1.19), Hispanic ethnicity (1.14, 1.07-1.22), Charlson Comorbidity Index ≥2, (1.15, 1.11-1.20), and opiate use (1.09, 1.05-1.13). Factors associated with higher frequency of DMARD treatment included married status (0.86, 0.81-0.91); erosion in joint imaging report (HR: 0.86, 0.81-0.91); female diagnosing provider (0.90, CI: 0.85-0.96), gender concordance between patient and provider (0.91, CI: 0.86-0.97), and diagnosing provider specialty of rheumatology (0.53, CI: 0.49-0.56). CONCLUSION: A high proportion of Veterans with IA were not treated with a biologic or non-biologic DMARD within one year after their initial diagnosis. A wide range of factors were associated with non-treatment of IA that may represent missed opportunities for improving the quality of care through early initiation of DMARDs.

Association between allergic diseases and both psoriasis and psoriatic arthritis: a bidirectional 2-sample Mendelian randomization study.

Background An increasing body of observational studies has indicated a potential link between allergic diseases, namely atopic dermatitis (AD), allergic rhinitis (AR), allergic asthma (AA), and psoriasis (PSO) as well as psoriatic arthritis (PSA). However, the presence and causal direction of this association remain uncertain. Methods We conducted two-sample Mendelian randomization (TSMR) analyses utilizing summary statistics derived from genome-wide association studies (GWAS) consortia. The summary statistics were obtained from a substantial participant cohort, consisting of 116,000 individuals (21,000 AD cases and 95,000 controls), 462,933 individuals (26,107 AR cases and 436,826 controls), and 140,308 individuals (4859 AA cases and 135,449 controls). The summary statistics for PSO (9267 cases and 360,471 controls) and PSA (3186 cases and 240,862 controls) were sourced from the FinnGen database. The primary analytical approach employed inverse variance weighting (IVW) as the main method within TSMR. We validated our findings through a series of sensitivity analyses. Furthermore, we performed reverse TSMR analyses to evaluate the potential presence of reverse causality. Results Our investigation revealed a potential protective effect of AD against both PSO (OR = 0.922, 95% CI = 0.863-0.984, p = 0.015)and PSA(OR = 0.915, 95% CI = 0.843-0.993, p = 0.033). Moreover, employing inverse MR analysis, we obtained compelling evidence supporting the protective role of PSO in preventing AD (OR = 0.891, 95% CI = 0.829-0.958, p = 0.002), as well as AR (OR = 0.998, 95% CI = 0.996-0.999, p = 0.008), these associations remained statistically significant even after Bonferroni correction was applied to account for multiple comparisons. Furthermore, our findings did not reveal any substantial causal relationship between AA and either PSO or PSA. Conclusion Our study provides compelling evidence that PSO significantly confers protection against both AD and AR, while AD is likely to act as a protective factor for both PSO and PSA. Despite previous studies suggesting an association between allergic diseases and the incidence of PSO and PSA, our findings do not support this claim. To obtain more accurate and reliable conclusions regarding the causal mechanisms involved, larger sample sizes in randomized controlled trials or MR studies are warranted.

Prevalence of Fibromyalgia and Widespread Pain in Psoriatic Arthritis: Association With Disease Severity Assessment in a Large US Registry.

OBJECTIVE: The classic conception of pain etiology in rheumatologic disease is nociceptive pain-tissue injury and inflammation signaling through peripheral and central nerve fibers. But this can be mixed with other pain etiologies, including nociplastic, which is augmented pain experience due to central sensitization. The pain of fibromyalgia (FM) is nociplastic, occurs in 10% to 30% of patients with rheumatologic disease, and its presence can influence disease severity assessment. The objective of our study was to (1) ascertain the prevalence of FM and widespread pain (WP) in the CorEvitas psoriatic arthritis (PsA) registry as assessed by the Widespread Pain Index (WPI) and Symptom Severity Scale (SSS) questionnaires; (2) characterize the demographic and clinical factors associated with FM and WP; and (3) ascertain the association of FM and WP on the Clinical Disease Activity in Psoriatic Arthritis (cDAPSA) score and other disease activity measures. METHODS: PsA registry patients completing the WPI/SSS questionnaires since May 2020, at their most recent visit recorded in the registry, were analyzed. RESULTS: The analysis included 1,823 patients with PsA; 11.1% fulfilled the FM definition and 20.6% fulfilled the WP definition. Several factors were associated with the FM definition, including female sex, depression and/or anxiety, impaired function, increased body mass index, and increased number of comorbidities. cDAPSA, patient pain and global assessment, and tender joint count were twice as severe in patients with FM compared to those without. CONCLUSION: FM prevalence is elevated in PsA and is associated with elevated disease measures, confounding reliable disease assessment for treat-to-target goals. Identification of FM as an influential contextual factor in disease assessment is recommended.

Impact of disease, musculoskeletal symptoms and disease control in the CorEvitas Psoriasis Registry.

BACKGROUND: Early identification, diagnosis and symptom control of psoriatic arthritis (PsA) in patients with psoriasis remain unmet medical needs. OBJECTIVES: To compare the impact of disease and other characteristics between patients with psoriasis who screened positive for PsA using the Psoriasis Epidemiology Screening Tool (PEST) (screen-positive group) and patients who (i) have PsA (PsA group) or (ii) screened negative for PsA (screen-negative group). Also, to determine the proportion of patients at a patient-acceptable symptom state (PASS) in the screen-positive and PsA groups. METHODS: This was a cross-sectional analysis of the CorEvitas Psoriasis Registry. We included a convenience sample of patients with psoriasis from the screen-positive and PsA groups who completed the Psoriatic Arthritis Impact of Disease-12 (PsAID12), and a comparator screen-negative group who did not complete the PsAID12. We report descriptive summaries of demographics, comorbidities, psoriasis characteristics, patient-reported outcome measures and the proportion of patients at PASS (i.e. PsAID12 ≤ 4). RESULTS: The screen-positive, PsA and screen-negative groups included 369, 70 and 4724 patients, respectively. The screen-positive and PsA groups had a similar impact of disease, demographics, comorbidities and psoriasis characteristics (d < 0.337). Mean PsAID12 scores were 3.1 (SD 2.3) and 3.7 (SD 2.6) in the screen-positive and PsA groups, respectively. Compared with patients who screened negative for PsA, patients who screened positive exhibited higher rates of selected known predictors of PsA such as older age, longer psoriasis duration, nail disease and inverse psoriasis. The proportion of patients at PASS was 56% and 67% for the PsA and screen-positive groups, respectively. CONCLUSIONS: The similar profiles between screen-positive and PsA groups, in comparison with the screen-negative group, support observations of possible underdiagnosis of PsA and the increased impact of disease, especially musculoskeletal disease, among patients who screen positive for PsA. The high percentage of patients not at an acceptable symptom state in the PsA and screen-positive groups highlights the need to optimize care in PsA.