Diagnostic Delay in Psoriatic Arthritis: A Population-based Study

Bibliometric analysis and description of research trends in the treatment of psoriasis with biologic agents in the past two decades (2004-2023)

BACKGROUND

Biologics are essential in treating psoriasis. In recent years, the pathogenesis exploration and development of new target drugs have provided a more complete evidence-based foundation for the biological treatment of psoriasis. This study aims to use bibliometrics to analyze the research status and development trends of biologics in psoriasis.

METHODS

The bibliometric analysis of publications related to biologics in psoriasis from 2004 to 2023 was conducted using the Web of Science Core Collection (WoSCC) database as the search data source. To perform the bibliometric analysis and create visual knowledge graphs, CiteSpace, the Bibliometrix R package, and VOSviewers were utilized.

RESULTS

The study included a total of 3800 articles. The United States had the highest number of publications. The leading authors and institutions were Steven R. Feldman and the University of Manchester, respectively, in the global partnership. The cluster plot divided all keywords into 11 categories. Currently, Secukinumab and Guselkumab are representative biological agents being studied due to their considerable efficacy and long-term safety.

CONCLUSIONS

Targeted therapy has emerged as a significant trend in the current treatment of psoriasis. Early and active use of biologics can effectively control disease progression, prevent or delay the occurrence of comorbidities, and may even alter the natural course of psoriasis. However, further investigation is required to fully understand the specific mechanisms of psoriasis and the use of biological agents.

A novel nomogram to predict psoriatic arthritis in patients with plaque psoriasis

OBJECTIVE

To construct a predictive model for Psoriatic Arthritis (PsA) based on clinical and ultrasonic characteristics in patients with plaque psoriasis (PsP).

PATIENTS AND METHODS

Demographic, clinical, and ultrasound data were collected from patients with PsP and PsA between May 2019 and December 2022.

RESULTS

A total of 212 patients with PsP and 123 with PsA in the training cohort, whereas the validation cohort comprised 91 patients with PsP and 49 with PsA. The multivariate logistic regression identified nail psoriasis (odds ratio [OR] 1.88, 95% CI: 1.07-3.29), synovitis (OR 18.23, 95% CI: 4.04-82.33), enthesitis (OR 3.71, 95% CI: 1.05-13.14), and bone erosion (OR 11.39, 95% CI: 3.05-42.63) as effective predictors for PsA. The area under the curve was 0.750 (95% CI, 0.691-0.806) and 0.804 (95% CI, 0.723-0.886) for the training and validation cohorts, respectively. The Hosmer-Lemeshow goodness-of-fit test showed good consistency for both the training cohort (p  =  0.970) and the validation cohort (p  =  0.967). Calibration curves also indicated good calibration for both cohorts. The DCA revealed that the predictive model had good clinical utility.

CONCLUSIONS

We have developed a quantitative, intuitive, and convenient predictive model based on nail psoriasis, synovitis, enthesitis, and bone erosion to assess the risk of PsA in patients with plaque psoriasis.

Diagnostic Delay of Psoriatic Arthritis of More Than Six Months Contributes to Poor Patient-Reported Outcome Measures in Depression, Social Ability, and Disease Impact: A Cross-sectional Study

Objective

We sought to correlate the time lag between psoriatic arthritis (PsA) symptom onset and diagnosis to the likelihood and severity of depression, social impairment, and disease impact on quality of life.

Methods

This cross-sectional study conducted by the National Psoriasis Foundation (NPF) surveyed individuals with PsA using patient-reported outcome measures.

Results

The analysis cohort comprised 2,196 patients with PsA. Likelihood of depression progressively increased when time between PsA symptom onset and diagnosis was beyond six months (28.6% <6 months; 29.6% 7-12 months; 38.1% 13-24 months; 35.4% >2 years; p<0.01). Individuals with more than six months delay reported increasingly higher rates of experiencing moderate limitation in social participation (22.9% <6 months; 29.2% 7-12 months; 34.0% 13-24 months; 35.3% >2 years; p<0.001). Unacceptable PsA symptom rates (PsAID score >4) increased with time between PsA symptom onset and diagnosis (74.7% <6 months; 76.4% 7-12 months; 80.8% 13-24 months; 81.6% >2 years; p<0.05). These relationships persisted in body mass index (BMI) and age adjusted models.

Limitations

The study only includes participants who were active members of the NPF, and all data was self-reported.

Conclusion

Our results demonstrate that delays between PsA symptom onset and diagnosis that are greater than six months lead to increased likelihoods of depression, social disengagement, and impaired quality of life, and that longer delays lead to increasingly worse outcomes in these domains.

Early psoriatic arthritis: clinical and therapeutic challenges

INTRODUCTION

Psoriatic arthritis (PsA) is a chronic immunoinflammatory disease of the enthesis and adjacent synovium, skin, and nail, which early diagnosis may be crucial for starting a prompt therapeutic intervention. Theoretically, early treatment offers the advantage of acting on the reduction of the articular damage progression since initial phases of the disease.

AREAS COVERED

This review explores the challenges of clinical-diagnostic aspects and the underlying pathophysiology of early PsA phases, as well as the evidence evaluating the impact of early intervention on disease outcomes.

EXPERT OPINION

Main instruments for early PsA diagnosis include recognizing synovial-entheseal inflammatory signs at onset, improving screening PsA high-risk subjects, and increasing disease knowledge of physicians and patients with psoriasis or familial history. PsA continues to significantly impact on the Quality of Life of patients affected by the disease, making necessary to deeply study clinical manifestations, risk factors, and underlying immunoinflammatory mechanisms, as well as to identify biomarkers for early identification. Additionally, it remains a need to increase more evidence on understanding how early treatment of PsA and of psoriasis might influence the course of the disease.

What Clinical Factors Affect Length of Transition to Psoriatic Arthritis in Patients With Psoriasis?

OBJECTIVE

We aimed to identify clinical and demographic features associated with the interval between psoriasis (PsO) and psoriatic arthritis (PsA).

METHODS

We identified patients with PsO and PsA diagnoses from our tertiary care psoriatic disease biorepository: a longitudinal, real-world database including clinical information and patient-reported outcomes. We used a multivariable a zero-inflated negative binomial model to evaluate several clinical and demographic features that may be associated with the time between PsO and PsA onset.

RESULTS

A total of 384 patients were included, of whom 52.2% were female. The mean age of PsO onset was 31.5 years. Advanced age at PsO onset was associated with a shorter interval between PsO and PsA. Based on our model, patients with PsO onset at age 42.6 years (upper end of the interquartile range [IQR]) had a 62% shorter expected interval compared with patients with PsO onset at age 18.9 years (lower end of IQR) (P < 0.001) and were more likely to have concurrent (onset within 6 months) diagnoses (odds ratio 4.56; 95% confidence interval 2.9-7.17). Patients with a body mass index (BMI) of 34 compared with a BMI of 26 had a 10% shorter interval between PsO and PsA, which trended toward statistical significance (P = 0.053).

CONCLUSION

Our study demonstrated that patients with a diagnosis of PsO at an older age have a shorter interval between PsO and PsA diagnoses and are more likely to have concurrent diagnoses compared with patients with an onset of PsO at a younger age. These results suggest that patients with a later onset of PsO may benefit from earlier PsA screening.

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.

The ATTRACT study: screening for the early identification of axial psoriatic arthritis in a cohort of Italian psoriatic patients

OBJECTIVE

There is growing interest in the early identification of patients with axial PsA (axPsA). We aimed to evaluate whether a dermatology-based screening strategy could help to identify axPsA patients.

METHODS

The dermatologist-centred screening (DCS) questionnaire was administrated by dermatologists to consecutive patients fulfilling the inclusion criteria [(i) age ≥18 years and (ii) clinical diagnosis of psoriasis made by a dermatologist] to identify patients eligible (affirmative answers 1-3c of the DCS) for rheumatological evaluation. Clinical, laboratory, genetic and imaging data were collected from all referred patients.

RESULTS

Among the 365 patients screened, 265 fulfilled the inclusion criteria and 124/265 (46.8%) were eligible for rheumatological referral. Diagnosis of axPsA, with or without peripheral PsA (pPsA), was made in 36/124 (29.0%) patients; pPsA without axial involvement was found in 21/124 (16.9%) patients. Back pain at screening was recorded in 174 (66%) patients, with 158 (60%) reporting a back pain duration longer than 3 months and 140 (53%) reporting back pain onset before the age of 45 years. Active inflammatory and/or structural post-inflammatory changes in the sacroiliac joints and/or spine were observed in all axPsA patients. Patients with PsA showed a numerically longer duration of back pain and higher CRP levels in comparison with patients with psoriasis without PsA.

CONCLUSION

The DCS tool proved to be a valuable screening strategy for detecting and characterizing patients with axPsA in a real-life cohort of psoriasis patients in a dermatological setting and helped to identify a substantial number of patients affected by undiagnosed pPsA.

Early psoriatic arthritis: when is the right time to start advanced therapy?

Despite significant advances in the treatment of psoriatic arthritis (PsA) in the last two decades, remission remains elusive and there is no cure. Evidence from rheumatoid arthritis (RA) confirming enhanced response and outcome from earlier treatment intervention suggests the plausibility of the window of opportunity in the pathogenesis of RA. Yet, data are lacking in PsA. Although treatment response may be enhanced in shorter disease duration, it is unknown how this early intervention may impact long-term outcomes. Furthermore, it remains to be demonstrated whether there is a best treatment strategy and time of intervention. Crucially, the main hurdle when aiming for early treatment intervention is the ability to achieve a timely diagnosis that highlights the need to focus research efforts on characterizing the very early disease stages including the transition to PsA in the at-risk psoriasis population.

From Psoriasis to Psoriatic Arthritis: Ultrasound Insights Connecting Psoriasis with Subclinical Musculoskeletal Inflammation and the Path to Psoriatic Arthritis

PURPOSE OF REVIEW

This review summarizes the literature about the transition from psoriasis to psoriatic arthritis (PsA), focusing on musculoskeletal ultrasound (MSUS) for detecting subclinical inflammation and its role in diagnosis and triage of high-risk patients.

RECENT FINDINGS

MSUS effectively detects subclinical musculoskeletal inflammation in patients with psoriasis; however, some of these lesions are non-specific and can be found in healthy individuals. Preliminary evidence suggest that subclinical sonographic findings may predict progression to PsA in psoriasis patients. MSUS can also improve referrals' accuracy and its integration in the PsA classification criteria may improve early PsA detection. MSUS is a valuable tool for detecting subclinical abnormalities in psoriasis patients, which indicate an increased likelihood of progressing to PsA. Its integration into referral protocols and clinical use could improve PsA diagnosis. We propose an MSUS-inclusive algorithm for PsA referrals and triage, which requires validation. The potential of early intervention in reducing PsA progression in psoriasis patients with subclinical inflammation remains to be established.

Real-World Treatment Patterns, Clinical Outcomes, and Symptom Burden in Patients With Psoriatic Arthritis Prescribed Ixekizumab in the United States

OBJECTIVE

The objective of this study was to describe the real-world characteristics and clinical status of patients with psoriatic arthritis (PsA) currently prescribed ixekizumab.

METHODS

Data were drawn from the Adelphi PsA Plus Disease Specific Programme (DSP), a cross-sectional survey conducted in the United States between September 2021 and March 2022. Rheumatologists provided data for their next five consulting patients currently receiving ixekizumab, including demographic and clinical characteristics, disease severity, treatment history, reasons for treatment choice, satisfaction with current treatment, and current and historic symptom burden. Patients voluntarily completed questionnaires, providing perceptional data on symptom burden and satisfaction with current treatment.

RESULTS

Overall, 68 rheumatologists provided data on 275 patients with PsA, 90 of whom completed the voluntary questionnaire. Patients had been prescribed ixekizumab for a mean of 11.7 (SD 10.6) months. Clinical characteristics, disease severity, and symptom burden of patients with PsA improved significantly from ixekizumab initiation to the most recent consultation, including symptom burden, tender and swollen joint counts, and body surface area affected by psoriasis (all P < 0.001). Both rheumatologists and patients were satisfied with ixekizumab treatment and reported improvements in pain and fatigue. Improvements were noted after more than three months of ixekizumab treatment duration and regardless of whether the patients had prior exposure to an advanced therapy or were treatment naïve.

CONCLUSION

Our results indicate that ixekizumab was efficacious in the treatment of PsA in real-world clinical practice, complementing efficacy data from randomized controlled clinical trials. The results of this study may assist rheumatologists and their patients in making informed treatment choices.

Diagnostic delay in psoriatic arthritis: insights from a nationwide multicenter study

This study aimed to investigate the duration of diagnostic delay in patients with psoriatic arthritis (PsA) and identify potential contributing factors using a comprehensive, population-based approach. Data were obtained from the Turkish League Against Rheumatism (TLAR)-Network, involving patients who met the CASPAR criteria. Diagnostic delay was defined as time interval from symptom onset to PsA diagnosis, categorized as ≤ 2 years and > 2 years. Temporal trends were assessed by grouping patients based on the year of diagnosis. Various factors including demographics, clinical characteristics, disease activity, quality of life, physical function, disability, fatigue, and well-being were examined. Logistic regression models were used to identify factors associated with diagnostic delay. Among 1,134 PsA patients, mean diagnostic delay was 35.1 months (median: 12). Approximately 39.15% were diagnosed within 3 months, and 67.02% were diagnosed within 24 months. Patients experiencing longer delays had higher scores in Psoriatic Arthritis Quality of Life Questionnaire (PsAQoL), Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-Fatigue), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), patient's global assessment (PtGA) and physician's global assessment (PhGA). Diagnostic delay has decreased over time, with median delay falling from 60 to 24 months throughout pre-2010 and 2015-2019 terms. Several factors were identified as significant contributors to delayed diagnosis, including lower levels of education (OR = 2.63), arthritis symptoms preceding skin manifestations (OR = 1.72), low back pain at first visit (OR = 1.60), symptom onset age (OR = 0.96), and psoriasis subtype (OR = 0.25). Timely diagnosis of PsA is crucial for effective management and improved outcomes. Despite recent improvements, about one-third of PsA patients still experience delays exceeding 2 years. By identifying influential factors such as education level, arthritis symptoms preceding skin manifestations, initial visit symptoms, age of symptom onset, and psoriasis subtype, healthcare practitioners may create specific techniques to help in early detection and intervention.

Evaluation of diagnostic and therapeutic delay in patients with rheumatoid arthritis and psoriatic arthritis

OBJECTIVE

A monocentric cross-sectional study recruiting rheumatoid arthritis (RA) and psoriatic arthritis (PsA) patients residing in the Lazio region, Italy, to assess factors related to diagnostic delay and treatment accessibility.

METHODS

Clinical/serological data, including the time between symptom onset, diagnosis, and the beginning of treatment, were collected. Residence, referral to a rheumatologic center, physician who made the diagnosis, and previous misdiagnosis were also evaluated.

RESULTS

A higher diagnostic delay (p=0.003), and time between symptom onset and the start of I-line therapy (p=0.006) were observed in PsA compared to RA. A delayed start of II-line therapy was observed in RA compared to PsA (p=0.0007). Higher diagnostic delay (p=0.02), and time between symptom onset and the start of conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) (p=0.02) were observed among residents of small-medium cities for both groups. Patients who have been diagnosed by another physician rather than a rheumatologist had a longer diagnostic delay (p=0.034) and a delayed start of I-line therapy (p=0.019). Patients who received a different previous diagnosis experienced greater diagnostic delay (p=0.03 and p=0.003) and time of start of csDMARDs (p=0.05 and p=0.01) compared with those receiving RA or PsA as the first diagnosis. PsA had a delay in starting targeted synthetic disease-modifying anti-rheumatic drugs (p=0.0004) compared to RA. Seronegative RA had delayed diagnosis (p=0.02) and beginning of therapies (p=0.03; p=0.04) compared to seropositive ones.

CONCLUSIONS

According to our results, greater diagnostic delay was found in PsA compared to RA, in patients living in small-medium cities, in those who did not receive the diagnosis from a rheumatologist, in those who were previously misdiagnosed, and in seronegative RA.

Multimorbidity in Psoriasis as a Risk Factor for Psoriatic Arthritis: A Population-Based Study

OBJECTIVES

To examine multimorbidity in psoriasis and its association with the development of PsA.

METHODS

A retrospective cohort study was performed using the Rochester Epidemiology Project. Population-based incidence (2000-2009) and prevalence (Jan 1, 2010) cohorts of psoriasis were identified by manual chart review. A cohort of individuals without psoriasis (comparators) were identified (1:1 matched on age, sex, and county). Morbidities were defined using ≥2 Clinical Classification Software codes ≥30 days apart within prior five years. PsA was defined using ClASsification of Psoriatic ARthritis (CASPAR) criteria. χ2 and rank-sum tests were used to compare morbidities, and age-, sex-, and race-adjusted Cox models to examine the association of baseline morbidities in psoriasis with development of PsA.

RESULTS

Among 817 incident psoriasis patients, the mean age was 45.2 years with 52.0% females, and 82.0% moderate/severe psoriasis. No multimorbidity differences were found between incident psoriasis patients and comparators. However, in the 1,088 prevalent psoriasis patients, multimorbidity was significantly more common compared with 1,086 comparators (OR : 1.35 and OR : 1.48 for ≥2 and ≥5 morbidities, respectively). Over a median 13.3-year follow-up, 23 patients (cumulative incidence: 2.9% by 15 years) developed PsA. Multimorbidity (≥2 morbidities) was associated with a 3-fold higher risk of developing PsA.

CONCLUSION

Multimorbidity was more common in the prevalent but not incident cohort of psoriasis compared with the general population, suggesting patients with psoriasis may experience accelerated development of multimorbidity. Moreover, multimorbidity at psoriasis onset significantly increased the risk of developing PsA, highlighting the importance of monitoring multimorbid psoriasis patients for the development of PsA.

Evaluation of a machine learning tool for the early identification of patients with undiagnosed psoriatic arthritis - A retrospective population-based study

Background

Psoriatic arthritis (PsA), an immune-mediated chronic inflammatory skin and joint disease, affects approximately 0.27% of the adult population, and 20% of patients with psoriasis. Up to 10% of psoriasis patients are estimated for having undiagnosed PsA. Early diagnosis and treatment can prevent irreversible joint damage, disability and deformity. Questionnaires for screening to identify undiagnosed PsA patients require patient and physician involvement.

Objective

To evaluate a proprietary machine learning tool (PredictAI™) developed for identification of undiagnosed PsA patients 1-4 years prior to the first time that they were suspected of having PsA (reference event).

Methods

This retrospective study analyzed data of the adult population from Maccabi Healthcare Service between 2008 and 2020. We created 2 cohorts: The general adult population ("GP Cohort") including patients with and without psoriasis and the Psoriasis cohort ("PsO Cohort") including psoriasis patients only. Each cohort was divided into two non-overlapping train and test sets. The PredictAI™ model was trained and evaluated with 3 years of data predating the reference event by at least one year. Receiver operating characteristic (ROC) analysis was used to investigate the performance of the model, built using gradient boosted trees, at different specificity levels.

Results

Overall, 2096 patients met the criteria for PsA. Undiagnosed PsA patients in the PsO cohort were identified with a specificity of 90% one and four years before the reference event, with a sensitivity of 51% and 38%, and a PPV of 36.1% and 29.6%, respectively. In the GP cohort and with a specificity of 99% and for the same time windows, the model achieved a sensitivity of 43% and 32% and a PPV of 10.6% and 8.1%, respectively.

Conclusions

The presented machine learning tool may aid in the early identification of undiagnosed PsA patients, and thereby promote earlier intervention and improve patient outcomes.

Racial and Ethnic Disparities in Treatment Initiation Among Patients with Newly Diagnosed Psoriatic Arthritis: A Retrospective Medicaid Claims Database Study

INTRODUCTION

In patients with psoriatic arthritis (PsA), potential differences in care by race/ethnicity have not been well studied.

METHODS

This retrospective, observational cohort analysis utilized the IBM MarketScan® Multi-State Medicaid database. Patients aged ≥ 18 years with two or more PsA-related claims between January 1, 2010 and December 31, 2019, and ≥ 12 months of continuous enrollment before the first diagnosis of PsA (index date) were included. Outcomes evaluated were the use of disease-modifying antirheumatic drugs (DMARDs) overall and by type (conventional synthetic, biologic, targeted synthetic) within 12 months following initial PsA diagnosis, as well as the time to DMARD initiation after initial PsA diagnosis, stratified by race/ethnicity. Multivariate Cox proportional hazards models were used to assess potential associations between patient baseline characteristics and time to DMARD initiation.

RESULTS

Among patients with newly diagnosed PsA (N = 3432), the mean age was 44.4 years, 69.9% were female, 77.4% were White, and 10.1% were Black. Of the 2993 patients with at least 12 months of follow-up, fewer Black patients received any DMARD therapy compared with White patients (68.4 vs. 76.4%, respectively, p = 0.002), and, specifically, a lower percentage of Black patients received biologic DMARDs compared with White patients (33.6 vs. 42.6%, respectively, p = 0.003). After adjusting for baseline characteristics, Black patients had significantly longer time to initiation of any DMARD (HR [95% CI] 0.82 [0.71-0.94]) and biologic DMARD (0.84 [0.71-0.99]) compared with White patients. Other baseline variables such as older age, anxiety, and hepatitis C were also significantly associated with longer time to any DMARD initiation after initial PsA diagnosis.

CONCLUSIONS

Time to treatment initiation was significantly longer in Black patients compared with White patients with newly diagnosed PsA. These findings suggest care delivery disparities in patients with PsA and highlight the need for future studies to understand factors that drive the observed differences in drug therapy by race/ethnicity.

Application of clinical and molecular profiling data to improve patient outcomes in psoriatic arthritis

Achieving a good outcome for a person with Psoriatic Arthritis (PsA) is made difficult by late diagnosis, heterogenous clinical disease expression and in many cases, failure to adequately suppress inflammatory disease features. Single-centre studies have certainly contributed to our understanding of disease pathogenesis, but to adequately address the major areas of unmet need, multi-partner, collaborative research programmes are now required. HIPPOCRATES is a 5-year, Innovative Medicines Initiative (IMI) programme which includes 17 European academic centres experienced in PsA research, 5 pharmaceutical industry partners, 3 small-/medium-sized industry partners and 2 patient-representative organizations. In this review, the ambitious programme of work to be undertaken by HIPPOCRATES is outlined and common approaches and challenges are identified. It is expected that, when completed, the results will ultimately allow for changes in the approaches to diagnosing, managing and treating PsA allowing for better short-term and long-term outcomes.

The Impact of Spondyloarthritis on Health-Related Quality of Life and Healthcare Resource Utilization in Saudi Arabia: A Narrative Review and Directions for Future Research

Spondylarthritis (SpA) is an umbrella term that encompasses a wide range of rheumatological disorders. Several studies demonstrated that SpA is associated with increased healthcare resource utilization (HCRU) and a lower health-related quality of life (HRQoL). This review aimed to summarize the current literature regarding the multidimensional impact of SpA on HRQoL and HCRU in Saudi Arabia and explore the correlation of the extent of severity of SpA with HRQoL and HCRU. Although the prevalence of SpA varies across different populations and is correlated with HLA-B27 prevalence, the magnitude of SpA in the Saudi population has not been extensively evaluated. Few studies have investigated the impact of SpA on HRQoL and HCRU in Saudi Arabia and the Middle East. There is a need to study the cost-effectiveness of various SpA treatment strategies, including biologic disease-modifying anti-rheumatic drugs (bDMARDs), to prioritize healthcare spending in the Saudi healthcare system. Data on SpA in Saudi Arabia and the Middle East region are mainly based on expert views, with few population-based studies compared to other regions. Therefore, there is an imperative need to develop high-quality, national-level epidemiological studies that assess the following: (1) more accurate estimates of the current prevalence of SpA in Saudi Arabia, including the prevalence of axial SpA and psoriatic arthritis; (2) the phenotypes/clinical characteristics of SpA, including disease severity and extra-articular involvement; (3) the impact of SpA on the HRQoL of the patients and the factors that can predict the extent of impaired HRQoL in such population, which can represent the first step in developing psychological interventions that should be personalized to this patient population; (4) the impact of implementing formal assessment of disease activity on the management of the patients and, subsequently, their HRQoL; and (5) the HCRU and costs for patients with SpA, and how treatment patterns can affect this cost.

Living with Psoriasis Vulgaris and Multi-Treatment Failure: A Patient and Dermatologist Perspective

Psoriasis vulgaris is a systemic, chronic inflammatory disease affecting 2-3% of the population. Recent advances in the understanding of the pathophysiology of psoriatic disease have facilitated the development of novel therapeutic options with improved safety and efficacy. This article is coauthored by a patient with a lifelong history of psoriasis who experienced multiple treatment failures. He details his diagnosis and treatment experiences, as well as the physical, mental, and social ramifications of his skin condition. He then goes on to elaborate how evolutions in the treatment of psoriatic disease have impacted his life. This case is then discussed from the perspective of a dermatologist specializing in inflammatory skin disorders. We highlight the clinical features of psoriasis, its medical and psychosocial comorbidities, and the current landscape of psoriatic disease treatments.

Periods of psoriatic arthritis onset and diagnosis in Russian patients with moderate to severe psoriasis (according to psoriasis patient registry)

Background: Early detection of psoriatic arthritis in patients with psoriasis remains an unmet medical need. Early diagnosis and treatment initiation in patients with psoriatic arthritis decreases the risk of adverse outcomes and improves patients quality of life. Aims: to describe a period between psoriasis and psoriatic arthritis onset and a period between psoriatic arthritis onset and diagnosis in Russian patients with moderate to severe psoriasis. Materials and methods: analysis of data from the psoriasis patient registry. Patients aged 18 years and older with an established diagnosis of psoriasis and psoriatic arthritis were included in the analysis. Exclusion criteria: no data on timing of psoriatic arthritis onset or diagnosis. Results: sample size for the descriptive characteristic of period between psoriasis and psoriatic arthritis onset was 891 patients; sample size for the descriptive characteristic of period between psoriatic arthritis onset and diagnosis was 849 patients. Psoriatic arthritis onset preceeded cutaneous manifestation of psoriasis in 2.5% of patients. Concurrent onset of cutaneous psoriasis and psoriatic arthritis (within one year) had 10.7% of patients. In 86.8% of patients, cutaneous manifestation of psoriasis preceded manifestation of psoriatic arthritis. Exclusively of patients with psoriatic arthritis developed before or concurrently with cutaneous manifestation of psoriasis, the mean duration of period between psoriasis and psoriatic arthritis onset was 13.7 10.3 years, the median [IQR] 12 [6-19] years. In 24% of patients with psoriatic arthritis the was 1 year or more after its onset. On average, in this subgroup of patients, psoriatic arthritis was diagnosed 3.95.0 years after the signs and/or symptoms onset. Median [IQR] of period between psoriatic arthritis onset and diagnosis was 2 [1-4.5] years. Conclusions: a diagnostic delay in 24% Russian patients with psoriatic arthritis is one year or more. The average delay in diagnosis of psoriatic arthritis is about 4 years.

The Psoriatic Arthritis Experience in Saudi Arabia from the Rheumatologist and Patient Perspectives

BACKGROUND

Psoriatic arthritis (PsA) is a musculoskeletal disease that adversely affects physical mobility and quality of life. It is challenging to manage because of the heterogeneous nature of the symptoms and the current treatment options.

PURPOSE

To explore the patient and rheumatologist perspectives of PsA to help improve understanding of the disease experience and improve disease management.

METHODS

A descriptive, observational cross-sectional study of Saudi Arabian dermatologists and rheumatologists and patients with psoriasis or PsA was conducted. Questionnaire data were collected from 31 dermatologists, 34 rheumatologists, 90 patients with psoriasis, and 98 patients with PsA and analysed using descriptive statistics. Here, data from rheumatologists and patients with PsA are presented.

RESULTS

The results revealed similarities and differences in the rheumatologist and patient perspectives of PsA. Rheumatologists and patients agreed on the impact that PsA had on patients' quality of life and that more education was needed. However, they differed on several aspects of disease management. Rheumatologists estimated the time to diagnosis as four times shorter than what patients experienced. Patients accepted their diagnosis more than rheumatologists perceived them to; rheumatologists perceived patients to be worried or fearful. Patients perceived joint pain as their most severe symptom, in contrast to rheumatologists, who presumed skin appearance was the most severe symptom. Reported input into PsA treatment goals differed significantly. More than half of the rheumatologists reported equal patient-physician input into goal development as opposed to <10% of patients reporting the same. Almost half of patients reported no input into the development of their treatment goals.

CONCLUSION

The management of PsA could benefit from enhanced screening and re-evaluation of what PsA outcomes have the most value to patients and rheumatologists. A multidisciplinary approach is recommended with increased patient involvement in disease management and individualized treatment options.

Importance of quick attainment of minimal disease activity for a positive impact on lives of patients with psoriatic arthritis

OBJECTIVE

To compare patient-reported outcomes (PROs) from the first year to the third year between patients with psoriatic arthritis (PsA) who achieved minimal disease activity (MDA) in the first year after diagnosis and those who did not.

METHODS

Consecutive, newly diagnosed, patients with DMARD naïve PsA with oligoarthritis or polyarthritis were selected from the Dutch southwest Early PsA cohoRt. Patients were categorised in three groups: (1) Patients who were in MDA at both 9 months and 12 months after diagnosis (sustained MDA); (2) Patients who achieved MDA in the first year but in whom it was not sustained at both 9 months and 12 months (non-sustained MDA); (3) Patients who did not achieve MDA in the first year (no MDA). PROs were compared between groups from the first year to the third year after diagnosis using a linear mixed model.

RESULTS

240 patients were selected; 104 (43%) were classified as sustained MDA, 60 (25%) as non-sustained MDA and 76 (32%) as no MDA. Patients who did not achieve MDA in the first year experienced remarkably lower PROs during follow-up, compared with the sustained MDA group: health status (European Quality of life 5-Dimensions 5-Levels) was 0.23 units lower (95% CI -0.28 to -0.18), functional impairment (Health Assessment Questionnaire-Disability Index) was 0.81 units higher (95% CI 0.70 to 0.92), pain (Visual Analogue Scale) was 35.38 mm higher (95% CI 30.57 to 40.18), fatigue (Bristol Rheumatoid Arthritis Fatigue-Multidimensional Questionnaire) was 17.88 units higher (95% CI 14.60 to 21.16), and anxiety and depression (Hospital Anxiety and Depression Scale) were, respectively, 3.26 units (95% CI 2.25 to 4.27) and 4.04 units higher (95% CI 3.10 to 4.99).

CONCLUSION

Failure to achieve MDA in the first year after PsA diagnosis was associated with worse PROs that persisted over the years.

Prospective cohort study of psoriatic arthritis risk in patients with psoriasis in a real-world psoriasis registry

BACKGROUND

The characteristics that predict the onset of psoriatic arthritis (PsA) among patients with psoriasis (PsO) may inform diagnosis and treatment.

OBJECTIVE

To develop a model to predict the 2-year risk of developing PsA among patients with PsO.

METHODS

This was a prospective cohort study of patients in the CorEvitas Psoriasis Registry without PsA at enrollment and with 24-month follow-up. Unregularized and regularized logistic regression models were developed and tested using descriptive variables to predict dermatologist-identified PsA at 24 months. Model performance was compared using the area under the receiver operating characteristic curve (AUC), sensitivity, and specificity.

RESULTS

A total of 1489 patients were included. Nine unique predictive models were developed and tested. The optimal model, including Psoriasis Epidemiology Screening Tool (PEST), body mass index (BMI), modified Rheumatic Disease Comorbidity Index, work status, alcohol use, and patient-reported fatigue, predicted the onset of PsA within 24 months (AUC = 68.9%, sensitivity = 82.9%, specificity = 48.8%). A parsimonious model including PEST and BMI had similar performance (AUC = 68.8%; sensitivity = 92.7%, specificity = 36.5%).

LIMITATIONS

PsA misclassification bias by dermatologists.

CONCLUSION

PEST and BMI were important factors in predicting the development of PsA in patients with PsO over 2 years and thereby foundational for future PsA risk model development.

Drug Retention and Safety of Secukinumab in a Real-World Cohort of Ankylosing Spondylitis and Psoriatic Arthritis Patients

Real-life data that support effectiveness of secukinumab (SEC), an interleukin 17A inhibitor, in Poland are few. We aimed to evaluate SEC effectiveness based on drug retention and safety measures reported in electronic medical records (EMRs) of patients with psoriatic arthritis (PsA) and ankylosing spondylitis (AS) from two tertiary-care centers in the region of Lesser Poland. A total one-hundred eighty seven (127 PsA and 60 AS) first (n = 112), second (n = 59) and third-line SEC users were enrolled. The mean (SD) age of the sample was 45.7 (12.9), and 48% were male. All patients were classified with active and severe disease prior to initiation. Administrative delays for SEC users last a median 2 weeks. Median delay from symptom onset to diagnosis was 4 years (IQR 8), and differed by predominant disease subtype. The inefficacy rate was 10.7% and 18.6% for first and second-line users with median (IQR) drug maintenance estimated at 1.22 years (1.46) and 1.51 (1.38), respectively. First-year drug loss defined as drug switch due to inefficacy or adverse event was rare, with median estimates of 0.91 (95% CI; 0.85, 0.97) and 0.86 (95% CI; 0.77, 0.95) for first and second-line, respectively.

A consensus-based approach on the management of patients with both psoriasis and psoriatic arthritis in the dermatological and rheumatological settings in Italy: The ADOI PSO-Amore Project

Psoriasis is a complex disease often needing a multidisciplinary approach. In particular, the collaboration between dermatologist and rheumatologist is crucial for the management of patients suffering from both psoriasis (PSO) and psoriatic arthritis (PsA). Here we report a series of recommendations from a group of experts, as a result of a Consensus Conference, defining the circumstances in which it is preferable or even mandatory, depending on the available settings, to rely on the opinion of the two specialists, jointly or in a deferred manner. Indications are given on how to organize a 3^rd level joint Dermatology- Rheumatology care unit, in connection with 1^st and 2^nd level clinicians of both specialties, GPs, and other specialists involved in the management of psoriasis. A potential patient journey is suggested, that can be used as a basis for future design and validation of national and/or local diagnostic therapeutic and assistance pathways.

Assessment of four screening tools and retrieval of key questions to detect undiagnosed psoriatic arthritis in Chinese patients with psoriasis: A multicenter study

Several screening tools have been developed to facilitate early diagnosis of psoriatic arthritis (PsA); however, their performance varied greatly across different studies. In this study, we validated and compared the performance of four screening tools in detecting undiagnosed PsA Chinese patients with psoriasis, and determined the key questions and their weights. The four screening tools were the Early Arthritis for Psoriatic Patients (EARP) questionnaire, Psoriatic Arthritis Screening and Evaluation (PASE) questionnaire, Psoriasis and Arthritis Screening Questionnaire (PASQ), and Psoriasis Epidemiology Screening Tool (PEST). The receiver-operator curve (ROC) with area under curve (AUC) was used to determine sensitivity, specificity, and accuracy. Least absolute shrinkage and selection operator and logistic regression were utilized to retrieve key questions, and a nomogram was utilized to visualize their weights. Of 482 psoriasis patients from dermatology clinics, 77 were newly diagnosed with PsA. Another 68 patients with newly diagnosed PsA from rheumatology clinics were incorporated in the analysis. ROC analysis indicated that the optimal cut-off values for EARP, PASE, PASQ, and PEST were 3, 40, 7, and 3, with corresponding sensitivities of 91.4%, 88.6%, 86.2%, and 88.5%, and specificities of 88.6%, 75.2%, 80.2%, and 83.6%, respectively. The AUC of EARP (0.925) was higher than those of PASE (0.885), PASQ (0.905), and PEST (0.827). However, none of them were sufficiently sensitive to identify pure axial PsA (sensitivities of EARP, PASQ, and PASE were 25.0%, 36.8%, and 42.1%, respectively). Twelve key questions were retrieved from these four tools to establish a nomogram with a high discrimination (C-index = 0.993) and a good calibration (mean absolute error = 0.014). In conclusion, to screen undiagnosed PsA, EARP has slightly better balanced sensitivity and specificity, and higher accuracy. The retrieval of key questions and nomogram signify the necessity of attributing different scores to differently weighted questions when developing a new screening tool to make it function more efficiently.

Time to transition from psoriasis to psoriatic arthritis: A population-based study

OBJECTIVE

To identify demographic and clinical characteristics associated with time between psoriasis and psoriatic arthritis (PsA).

METHODS

A retrospective, population-based cohort of incident PsA patients ≥18 years (2000-17) from Olmsted County, MN was identified. PsA patients were divided into two groups: patients with concurrent psoriasis and PsA (within 1 year), and patients with psoriasis before PsA (>1 year). Patients with PsA prior to psoriasis were excluded. Age- and sex-adjusted logistic regression models were used to examine factors associated with the time between psoriasis and PsA diagnosis.

RESULTS

Among 164 patients with incident PsA, 158 had a current or personal history of psoriasis. The mean (SD) age at PsA diagnosis was 46.3 (12.0) years, and 46% were females. The median (interquartile range) time from psoriasis to PsA was 35.5 (0.8-153.4) months. 64 patients (41%) patients had concurrent psoriasis and PsA while 94 (59%) had onset of psoriasis before PsA. The estimated age at onset of psoriasis symptom (OR per 10-year decrease = 1.63, 95% CI: 1.26-2.11) and psoriasis severity (OR = 3.65, 95% CI: 1.18-11.32 for severe vs. mild) were associated with having a psoriasis diagnosis more than one year prior to incident PsA.

CONCLUSION

In this population-based study, approximately 60% of the patients had psoriasis before PsA, and the rest had concurrent psoriasis and PsA. Patients with lower age at psoriasis onset or severe psoriasis were more likely to have a longer time to transition from psoriasis to PsA.

Improving Imaging Modalities in Early Psoriatic Arthritis: The Role of Ultrasound in Early Diagnosis of Psoriatic Arthritis

Objective: Despite recent advances, early diagnosis of psoriatic arthritis (PsA) remains a challenge in clinical practice. Ultrasound (US) could be a useful tool for the diagnosis and management of PsA. The objective of this review was to determine the role of US in early diagnosis of PsA.

Methods: We have performed a literature review aiming to evaluate studies on US findings in psoriasis and their predictive value of progression to PsA, as well as studies on US features specific for PsA in comparison with other conditions.

Results: A total of 40 studies were included. Sixteen studies assessed US findings in psoriasis, of which only 3 prospectively evaluated the role of US in predicting progression to PsA. Patients with PsA had a greater frequency of US abnormalities, in particular enthesitis and Power Doppler(PD) signal compared to patients with psoriasis only. In the longitudinal studies, psoriatic patients with higher enthesopathy scores at baseline were more likely to progress to PsA. Twenty-four studies evaluated US abnormalities in PsA and compared them to other conditions. Most specific US features that distinguish PsA from psoriasis were PD signal and erosions in joints and entheses. Extra-synovial changes, including peri-tendinous dermal soft tissue oedema with associated PD signal and flexor tendon enthesopathy, as well as thickening of the pulleys in the flexor tendons were highly characteristic for PsA, as they were frequently found in PsA patients, but in none of the RA patients. US-detected entheseal abnormalities in particular erosions and PD signal were more frequent in patients with PsA compared to fibromyalgia.

Conclusion: Despite the wide use of US in PsA, more research is needed to identify predictive factors of progression to PsA in patients with psoriasis, as well as to determine most specific US features that differentiate PsA from other conditions.

Perceptions of Rheumatologists on Diagnosis of Psoriatic Arthritis in China

Objective

High prevalence of undiagnosed psoriatic arthritis (PsA) and prolonged diagnostic delay are key troubles in the appropriate management of PsA. To analyze the possible causes for this phenomenon, a web-based nationwide survey was conducted to investigate rheumatologists’ perceptions on PsA diagnosis in China.

Methods

The electronic questionnaire consisting of 38 questions were designed by an expert panel and distributed with the online survey tool Sojump, which is a professional online survey platform. The completed questionnaires by real-name rheumatologists were collected.

Results

A total of 1594 valid questionnaires were included. More than half of Chinese rheumatologists reported it was challenging to make a diagnosis of PsA. The four major challenges were “Difficulties in identification of atypical or hidden psoriasis”, “Absence of diagnostic biomarkers”, “No active self-report of history or family history of psoriasis” and “Various musculoskeletal manifestations”. In diagnosing PsA, minor participants had incorrect knowledge of inflammatory arthropathy (13.7%), acute phase reactant (23.8%), and rheumatoid factor (28.7%). There were no significant differences in the knowledge of PsA and practice habits in diagnosing PsA between modern western medicine (WM)- and traditional Chinese medicine (TCM)-rheumatologists. The part-time rheumatologists were not as good as full-time rheumatologists in diagnosing PsA.

Conclusions

About three quarters of Chinese rheumatologists are familiar with the elements in PsA diagnosis and have good practice habits in diagnosing PsA. Four main challenges in making PsA diagnosis are revealed. There was no significant difference in the knowledge of PsA between WM- and TCM-rheumatologists.

The Digital Way to Intercept Psoriatic Arthritis

Psoriasis (PsO) and Psoriatic Arthritis (PsA) are chronic, immune-mediated diseases that share common etiopathogenetic pathways. Up to 30% of PsO patient may later develop PsA. In nearly 75% of cases, skin psoriatic lesions precede arthritic symptoms, typically 10 years prior to the onset of joint symptoms, while PsO diagnosis occurring after the onset of arthritis is described only in 15% of cases. Therefore, skin involvement offers to the rheumatologist a unique opportunity to study PsA in a very early phase, having a cohort of psoriatic “risk patients” that may develop the disease and may benefit from preventive treatment. Progression from PsO to PsA is often characterized by non-specific musculoskeletal symptoms, subclinical synovio-entheseal inflammation, and occasionally asymptomatic digital swelling such as painless toe dactylitis, that frequently go unnoticed, leading to diagnostic delay. The early diagnosis of PsA is crucial for initiating a treatment prior the development of significant and permanent joint damage. With the ongoing development of pharmacological treatments, early interception of PsA has become a priority, but many obstacles have been reported in daily routine. The introduction of digital technology in rheumatology may fill the gap in the physician-patient relationship, allowing more targeted monitoring of PsO patients. Digital technology includes telemedicine, virtual visits, electronic health record, wearable technology, mobile health, artificial intelligence, and machine learning. Overall, this digital revolution could lead to earlier PsA diagnosis, improved follow-up and disease control as well as maximizing the referral capacity of rheumatic centers.

Clinical Burden of Concomitant Joint Disease in Psoriasis: A US-Linked Claims and Electronic Health Records Database Analysis

BACKGROUND

Few studies have evaluated the clinical burden of concomitant joint disease in patients with psoriasis (PSO). The objective of this study was to assess comorbidity rates in patients with psoriatic arthritis (PsA) compared with PSO alone.

METHODS

This was a retrospective study of US patients with prevalent PSO. Linked medical claims and electronic health records (EHR) in Optum's de-identified Integrated Claims-Clinical dataset were analyzed from 2007 to 2018. Patients were followed for up to 5 years after the first claim/diagnostic code for PSO (index date). Baseline comorbidity prevalence and follow-up rates (cases per 1000 person-years) were assessed using descriptive statistics. Comorbidity rate analysis included patients with the respective comorbidity at baseline.

RESULTS

Baseline demographics and comorbidity prevalence were numerically similar between patients with concomitant joint disease (PSO-PsA) and those with PSO alone (PSO-only). During follow-up, comorbidity rates were higher in patients in the PSO-PsA group than patients in the PSO-only group. Ratios of PSO-PsA comorbidity rates relative to PSO-only ranged from 1.1 for allergies and infections to 1.7 for fatigue, diabetes, and obesity. Comorbidity rate ratios increased from year 1 to year 5 for hypertension (1.05-1.34), hyperlipidemia (0.94-1.13), diabetes (1.00-1.49), cardiovascular disease (1.03-1.66), depression (0.97-1.19), and anxiety (0.87-0.98).

CONCLUSIONS

Patients with PsA have a larger clinical burden, characterized by higher comorbidity rates, than those with PSO. Future research should explore PsA risk factors and how physicians can monitor and treat patients with PSO to reduce the risk of PsA and the associated clinical burden.