Performances of five risk algorithms in predicting cardiovascular events in patients with Psoriatic Arthritis: An Italian bicentric study

Pain catastrophizing negatively impacts drug retention rate in patients with Psoriatic Arthritis and axial Spondyloarthritis: results from a 2-years perspective multicenter GIRRCS (Gruppo Italiano di Ricerca in Reumatologia Clinica) study

BACKGROUND

Chronic pain and inflammation are common features of rheumatic conditions such as Psoriatic Arthritis (PsA) and Axial Spondyloarthritis (axSpA), often needing prolonged medication treatment for effective management. Maintaining drug retention is essential for both achieving disease control and improving patients' quality of life. This study investigates the influence of pain catastrophizing, a psychological response to pain, on the drug retention rates of PsA and axSpA patients.

METHODS

A two-year prospective multicenter observational study involved 135 PsA and 71 axSpA patients. Pain Catastrophizing Scale (PCS) was employed to assess pain catastrophizing. Univariable and multivariable regression analyses were utilized to identify factors associated with drug retention.

RESULTS

In the PsA group, patients early discontinuing therapy showed higher baseline disease activity as well as higher incidence of comorbid fibromyalgia. Notably, pain catastrophizing, specifically the domains of Helplessness, Magnification, and Rumination, were significantly elevated in PsA patients who interrupted the treatment. Multivariable analysis confirmed pain catastrophizing as an independent predictor of drug suspension within two years. In axSpA, drug discontinuation was associated with female gender, shorter disease duration, higher baseline disease activity as well as elevated levels of pain catastrophizing. Univariable analysis supported the role of pain catastrophizing, including its domains, as predictors of treatment interruption. However, limited events in axSpA patients precluded a multivariate analysis.

CONCLUSION

This prospective study emphasizes the impact of pain catastrophizing on drug retention in patients with PsA and axSpA.

The role of bDMARDs in the prevention and treatment of inflammatory-related comorbidities in Psoriatic Arthritis

INTRODUCTION

Psoriatic arthritis (PsA) is an immune-inflammatory disease that affects both joints and entheses, and with diverse extra-articular manifestations (psoriasis, inflammatory bowel disease (IBD), and uveitis). A wide range of comorbid conditions, including cardiovascular diseases, obesity, metabolic syndrome (MetS), nonalcoholic fatty liver disease (NAFLD), mental health disorders (depression/anxiety), and osteoporosis are highly prevalent in course of PsA.Biological DMARDs (bDMARD), including TNF-inhibitors (TNFi), Interleukin (IL-17i) and IL-23i represent the cornerstone of the management of active disease. The use of these therapies obviously requires considering comorbidities presence, safety aspects and contraindications.

AREAS COVERED

The aim of this review is to describe the inflammatory mechanisms behind PsA comorbidities, and the role of bDMARDs in the prevention and treatment of these conditions in course of PsA.

EXPERT OPINION

Tailoring therapeutic strategies to the individual characteristics of each PsA patient can be an effective approach to manage comorbidities, maximizing the efficacy of bDMARDs, and reducing the incidence of AEs. Identifying targets within disease pathways can guide research into therapeutics that address both PsA and comorbidities simultaneously, but more studies are advocated for clarifying the potential prevention and management of bDMARDs used for PsA.

Use of risk chart algorithms for the identification of psoriatic arthritis patients at high risk for cardiovascular disease: findings derived from the project CARMA cohort after a 7.5-year follow-up period

OBJECTIVE

To assess the predictive value of four cardiovascular (CV) risk algorithms for identifying high-risk psoriatic arthritis (PsA) patients.

METHODS

Evaluation of patients with PsA enrolled in the Spanish prospective project CARdiovascular in RheuMAtology. Baseline data of 669 PsA patients with no history of CV events at the baseline visit, who were followed in rheumatology outpatient clinics at tertiary centres for 7.5 years, were retrospectively analysed to test the performance of the Systematic Coronary Risk Assessment (SCORE), the modified version (mSCORE) European Alliance of Rheumatology Associations (EULAR) 2015/2016, the SCORE2 algorithm (the updated and improved version of SCORE) and the QRESEARCH risk estimator version 3 (QRISK3).

RESULTS

Over 4790 years of follow-up, there were 34 CV events, resulting in a linearised rate of 7.10 per 1000 person-years (95% CI 4.92 to 9.92). The four CV risk scales showed strong correlations and all showed significant associations with CV events (p<0.001). SCORE, mSCORE EULAR 2015/2016 and QRISK3 effectively differentiated between low and high CV risk patients, although the cumulative rate of CV events observed over 7.5 years was lower than expected based on the frequency predicted by these risk scales. Additionally, model improvement was observed when combining QRISK3 with any other scale, particularly the combination of QRISK3 and SCORE2, which yielded the lowest Akaike information criterion (411.15) and Bayesian information criterion (420.10), making it the best predictive model.

CONCLUSIONS

Risk chart algorithms are very useful for discriminating PsA at low and high CV risk. An integrated model featuring QRISK3 and SCORE2 yielded the optimal synergy of QRISK3's discrimination ability and SCORE2's calibration accuracy.

Autonomic dysfunction and cardiovascular risk in psoriatic arthritis

Psoriatic arthritis (PsA) is an inflammatory disease with a high prevalence of cardiovascular (CV) events due to traditional cardiovascular risk factors and increased systemic inflammation. In this review, our objectives were to (i) evaluate the cardiovascular events and risk factors and (ii) investigate the relationship between autonomic dysfunction and CV diseases in PsA. A systematic review of the literature was done on the Medline/PubMed, Scopus, and the Directory of Open Access Journals databases between January 2017 and July 2022. After screening and exclusions, 73 studies were included for the final review. Patients with PsA have a greater risk of CV diseases and increased traditional CV risk factors, including hypertension, diabetes mellitus, obesity, metabolic syndrome, and dyslipidemia. Although autonomic dysfunction is more common in PsA than in the general population, its relationship with increased CV diseases in these patients is still unclear. Limitations in explaining CV risk in these patient groups complicate patient assessment as cardiovascular risk factors are linked to the morbidity and mortality of PsA, and it is essential to improve an optimal screening and management strategy for CV disease. All CV risk scoring systems cannot fully assess the CV risk in these patients, so in addition to scoring systems, carotid ultrasound evaluation may be a part of the CV evaluation.

Evidence supporting the choice of a new cardiovascular risk equation for Australia

This article reviews the risk equations recommended for use in international cardiovascular disease (CVD) primary prevention guidelines and assesses their suitability for use in Australia against a set of a priori defined selection criteria. The review and assessment were commissioned by the National Heart Foundation of Australia on behalf of the Australian Chronic Disease Prevention Alliance to inform recommendations on CVD risk estimation as part of the 2023 update of the Australian CVD risk assessment and management guidelines. Selected international risk equations were assessed against eight selection criteria: development using contemporary data; inclusion of established cardiovascular risk factors; inclusion of ethnicity and deprivation measures; prediction of a broad selection of fatal and non-fatal CVD outcomes; population representativeness; model performance; external validation in an Australian dataset; and the ability to be recalibrated or modified. Of the ten risk prediction equations reviewed, the New Zealand PREDICT equation met seven of the eight selection criteria, and met additional usability criteria aimed at assessing the ability to apply the risk equation in practice in Australia.

High inflammatory burden predicts cardiovascular events in patients with axial spondyloarthritis: a long-term follow-up study

Background

Axial spondyloarthritis (axSpA) patients are at higher risk of cardiovascular (CV) disease (CVD) than the general population, partly due to consequences of inflammation or its treatment. But relationship between inflammation in axSpA and cardiovascular events (CVE) is unknown.

Objectives

To examine whether inflammatory burden over time can predict CVE independent of baseline CV risk factors in axSpA patients.

Design

A cohort analysis was performed in patients who had been recruited since January 2001. The primary outcome was a first CVE occurring between January 2001 and December 2020.

Methods

Three CVD risk scores were computed at baseline. The performance of the original and modified (*1.5 multiplication factor) CV risk algorithms were assessed. Time-varying Cox proportional hazard models and Kaplan-Meier survival analysis were used to assess whether inflammatory burden (Bath ankylosing spondylitis disease activity index [BASDAI] and inflammatory markers), nonsteroidal anti-inflammatory drugs (NSAIDs) and disease modifying antirheumatic drugs (DMARDs) can predict the development of first CVE.

Results

463 patients (35 [26-45] years, male: 360 [77.8%]) were recruited. After a median follow-up of 12 (7-19) years, 61 patients (13.2%) experienced a first CVE. Traditional/modified CV risk scores underestimated CV risk. Erythrocyte sedimentation rate (ESR) ⩾ 20 mm/h was associated with a significantly higher risk of CVE during follow-up (HR: 2.07, 95%CI [1.10, 3.98], p = 0.008). Active disease as indicated by a rising BASDAI also showed positive trend towards a higher risk of developing CVE over time. After adjusting for CV risk scores in the multivariable models, high ESR level (ESR ⩾ 20 mm/h) over time remained significantly associated with a higher risk of developing CV events.

Conclusion

Increased inflammatory burden as reflected by elevated ESR levels (ESR ⩾ 20) was associated with increased risk of CVE, while the use of NSAIDs and DMARDs were not.

Increased Cardiovascular Risk in Psoriatic Arthritis: Results From a Case-Control Monocentric Study

Background

Psoriatic arthritis (PsA) is associated with increased cardiovascular morbidity and mortality. The aims of our real-life study were to compare the prevalence of cardiovascular risk factors (CVRFs) and cardiovascular events (CVEs) among patients with PsA with a control population, to evaluate the impact of correcting factors in equations that assess cardiovascular risk (CVR) in PsA, and to determine the percentage of patients who reach the LDLc target as indicated by the European guidelines.

Methods

In this observational cross-sectional monocentric case-control study, we used a standardized procedure to systematically assess patients with PsA aged 25–85 years who met the Classification for Psoriatic Arthritis (CASPAR) criteria. Controls were extracted from the MOnitoring NAtionaL du rISque Artériel (MONALISA) study. We compared the prevalence of CVRFs, CVEs, the CVR, and the percentage of patients reaching recommended LDLc target in both populations. The CVR was first assessed using SCORE and QRISK2 equations. Then, the SCORE equation was corrected by applying a 1.5 multiplication factor, as recommended by EULAR for rheumatoid arthritis (SCORE-PsA), and the QRISK2 was corrected using the “rheumatoid arthritis” item (QRISK2-PsA).

Results

A total of 207 PsA and 414 controls were included. CVRFs and CVEs were more frequent in the PsA group. After controlling for age and gender, atherothrombotic disease was increased in the PsA population (SCORE p = 0.002, QRISK2 p = 0.001). Using the SCORE-PsA increased the percentage of patients with a high or very high CVR from 39.3 to 45.3% in the PsA group. Similarly, using the QRISK2-PsA increased the percentage of patients with a CVR ≥ 10% from 44.9 to 53.2%. The percentages of patients with PsA with high LDLc in the high and very high CVR groups were not significantly different from controls, despite a trend in favor of patients with PsA. Of the 83 PsA with a QRISK2 ≥ 10%, only 22.9% were treated with statin vs. 35.8% of the 134 controls. The QRISK2-PsA score did not alter these results.

Conclusion

In real-life, patients with PsA have a higher prevalence of CVRFs, as well as a higher prevalence of CVEs compared to the general population. The CVR is higher in the PsA population than in the controls either using the SCORE and QRISK2 equations or using the corrected SCORE- PsA and QRISK2-PsA equations.

The Management of Cardiovascular Disease Risk in Patients with Rheumatoid Arthritis

INTRODUCTION

Rheumatoid Arthritis (RA) is a chronic inflammatory disorder associated with an increased incidence and prevalence of cardiovascular disease (CVD), including myocardial infarction and heart failure. In addition to traditional risk factors, evidence suggests inflammation is critical to the pathophysiology of both conditions. Despite the association being well-recognised, challenges remain in managing cardiovascular risk in RA.

AREAS COVERED

This manuscript analyses the association between CVD and RA andexplores the limitations in evaluating cardiovascular risk in RA with available risk assessment tools. The authors review and discuss the optimal management of traditional risk factors such as hypertension and dyslipidaemia and contemporary risk factors such as inflammation and analyse the cardiovascular impact of RA medications.

EXPERT OPINION

Analysis points to the critical role of inflammation in the pathogenesis of RA and CVD. It is well established that conventional disease-modifying anti-rheumatic drugs (DMARDs) improve cardiovascular outcomes; however, underlying risk often remains underappreciated. The authors suggest there remains an opportunity to improve mortality and morbidity with the early recognition and identification of at-risk populations and the timely initiation of appropriate cardiovascular and anti-inflammatory medications. More research is necessary into the role that imaging may play in stratifying risk and in the longer-term cardiovascular impact of biological DMARDs.

Cardiovascular risk prediction: from classical statistical methods to machine learning approaches

Nowadays, cardiovascular risk prediction scores are commonly used in primary prevention settings. Estimating the cardiovascular individual risk is of crucial importance for effective patient management and optimal therapy identification, with relevant consequences on secondary prevention settings. To reach this goal, a plethora of risk scores have been developed in the past, most of them assuming that each cardiovascular risk factor is linearly dependent on the outcome. However, the overall accuracy of these methods often remains insufficient to solve the problem at hand. In this scenario, machine learning techniques have repeatedly proved successful in improving cardiovascular risk predictions, being able to capture the non-linearity present in the data. In this concern, we present a detailed discussion concerning the application of classical versus machine learning-based cardiovascular risk scores in the clinical setting. This review aimed to give an overview of the current risk scores based on classical statistical approaches and machine learning techniques applied to predict the risk of several cardiovascular diseases, comparing them, discussing their similarities and differences, and highlighting their main drawbacks to aid the physician having a more critical understanding of these tools.

Estimated 10-year cardiovascular risk in a large Italian cohort of rheumatoid arthritis patients: Data from the Cardiovascular Obesity and Rheumatic DISease (CORDIS) Study Group

BACKGROUND

Several cardiovascular (CV) risk algorithms are available to predict CV events in the general population. However, their performance in patients with rheumatoid arthritis (RA) might differ from the general population. This cross-sectional multicentre study aimed to estimate the 10-year CV risk using two different algorithms in a large RA cohort and in patients with osteoarthritis (OA).

METHODS

In a consecutive series of RA patients and matched OA controls without prior CV events, clinical and serologic data and traditional CV risk factors were recorded. The 10-year CV risk was assessed with the Systematic COronary Risk Evaluation (SCORE) and the "Progetto Cuore" algorithms.

RESULTS

1,467 RA patients and 342 OA subjects were included. RA patients were more frequently diabetic (9.9% vs 6.4%; p=0.04) and smokers (20.4% vs 12.5%; p=0.002) but had lower prevalence of obesity (15% vs 21%; p=0.003). Dyslipidaemia was more prevalent in OA (32.5% vs 21.7%; p<0.0001). The 10-year estimated CV risk was 1.6% (95%CI 1.3-1.9) in RA and 1.4% (95%CI 1.3-1.6) in OA (p=0.002) according to SCORE and 6.5% (95%CI 6.1-6.9) in RA and 4.4% (95%CI 3.9-5.1) in OA (p<0.001) according to "Progetto Cuore". Regardless of the score used, RA patients had a 3- to-4-fold increased 10-year risk of CV events compared to OA subjects.

CONCLUSION

RA patients have a significantly higher 10-year risk of CV events than OA subjects. In addition to effective disease control and joint damage prevention, specific protective measures targeting modifiable traditional CV risk factors should be implemented in RA.

Monitoring and Managing Cardiovascular Risk in Immune Mediated Inflammatory Diseases

Cardiovascular disease (CVD) is common in immune-mediated inflammatory diseases (IMIDs) and it is predominately attributed to the interplay between chronic inflammation and traditional CVD risk factors. CVD has significant impact on the survival of patients with IMIDs as it is associated with increased morbidity and mortality. Despite recommendations for monitoring and managing CVD in patients with IMIDs, the individual CVD risk assessment remains problematic as CVD risk calculators for the general population consistently underestimate the risk in patients with IMIDs. Application of new technologies utilizing artificial intelligence techniques have shown promising potential for tailoring predictive medicine to the individual patient, but further validation of their role in clinical decision-making is warranted. In the meantime, individuals with IMIDs should be encouraged to adopt behavioral interventions targeting at modifiable lifestyle CVD risk factors, whereas rheumatologists need to be well aware of the unfavorable effects of antirheumatic medication on various CVD risk factors and outcomes. In the current paper, we aim to provide an overview of current and emerging strategies for mitigating CVD risk in patients with IMIDs, based on a practical approach.

Depression and Endothelial Dysfunction in Psoriatic Arthritis: Is There Any Possible Relationship?

Background: Cardiovascular events (CVEs) are the first cause of death in patients with psoriatic arthritis (PsA). Depression is a recognized risk factor in cardiovascular events and is frequently associated with PsA. Flow-mediated dilatation (FMD) is a widely used method for assessing endothelial dysfunction, a parameter with strong prognostic implications for CVEs. The study aims to explore the relationship between FMD, depressive symptoms and serum cytokines in a cohort of patients with PsA. Patients and Methods: FMD was assessed in 50 consecutive PsA patients aged between 30 and 75 years without known cerebrovascular and coronary heart disease or diabetes. Depressive symptoms were reported using the related subscale of the Hospital Anxiety and Depression Scale (HDS). Disease features, activity indexes, and adjusted Framingham risk score (aFRS) were calculated. Serum level of IL-6, TNF-α, and IL-17A were also assessed. Results: In PsA patients (age 50.7 ± 10.2 years, male 42%, disease duration 5.9 ± 3.3 years, Disease Activity in PSoriatic Arthritis (DAPSA) score 14.0 ± 9.4) FMD inversely correlated with the severity of depressive symptoms according to HDS (ρ = -0.339, p = 0.016), age (ρ = -0.507, p = 0.001), aFRS (rs = -0.453, p < 0.001), duration of PsA (ρ = -0.507, p = 0.001), intensity of pain (ρ = -0.507, p = 0.001), and DAPSA (ρ = -0.507, p = 0.001). No statistically significant correlation was found between FMD or HDS and serum cytokines concentrations. HDS predicted FMD in a model adjusted for age, aFRS, PsA duration, and pain intensity (β = -0.271, p = 0.008), with depressive symptoms contributing directly to 6.4% of the variance. Conclusions: Depressive symptoms correlate with endothelial dysfunction with an exposure-response pattern in our cohort of PsA patients.

Psoriasis and Cardiovascular Disease: A Narrative Review

Psoriasis is a chronic, autoimmune, and inflammatory disease that affects 2% of the world's population. In recent years, it has been demonstrated that psoriasis confers a 25% increase in relative risk of cardiovascular disease, independent of factors such as hyperlipidemia, smoking, and obesity. The objective of this review was to analyze and describe the association between psoriasis and cardiovascular disease. In this review, we describe the epidemiological association of psoriasis and cardiovascular disease, pathophysiology, mechanisms, and its association with the well-known cardiovascular risk calculators. In addition, we describe diagnostic tools, such as imaging techniques and novel biomarkers, that are useful in the evaluation of atherosclerotic cardiovascular disease. Finally, we present different systemic therapies that are used in patients with psoriasis and their effect on atherosclerotic cardiovascular disease. This article provides an overview of the current literature on psoriasis and cardiovascular risk, which can be useful for primary care physicians in their daily clinical practice.

Visceral adiposity in patients with psoriatic arthritis and psoriasis alone and its relationship with metabolic and cardiovascular risk

BACKGROUND

Fat mass distribution, especially in the abdominal visceral region, has been rarely evaluated in patients with PsA or psoriasis (PsO).

METHODS

Patients with PsA and patients with PsO alone were evaluated and compared with control subjects (1:1 ratio in each patient group) matched for age, sex and BMI category. Body composition and fat distribution (android and visceral fat) were evaluated by DXA. Anthropometric measurements, disease activity and the systematic coronary risk evaluation (SCORE) cardiovascular risk were assessed. Metabolic parameters (insulin, homeostasis model assessment for insulin resistance), serum adipokines [total and high-molecular-weight adiponectin, leptin, resistin and retinol-binding protein-4 (RBP4)] were measured.

RESULTS

Data for 52 patients with PsA and 52 patients with PsO and their respective paired controls were analysed. Android fat and visceral fat were found to be significantly higher in patients with PsO compared with their controls, while these measurements did not differ between patients with PsA and their controls. By multivariate analysis, after adjusting for age, sex and BMI, visceral fat was higher in PsO patients compared with PsA patients (P = 0.0004) and the whole group of controls (P = 0.0013). Insulin levels and HOMA-IR were increased in both PsA and PsO groups. High-molecular-weight/total adiponectin ratio was decreased in patients with PsO. RBP4 was significantly higher in both PsA and PsO patients. In patients with PsO, visceral fat strongly correlated with SCORE (r = 0.61).

CONCLUSION

Visceral fat accumulates more in PsO alone than in PsA. Visceral adiposity may be a more pressing concern in PsO relative to PsA.

TRIAL REGISTRATION

The ADIPSO study (Évaluation du tissu ADIpeux et des adipokines dans le PSOriasis et le rhumatisme psoriasique et analyse de ses relations avec le risque cardiovasculaire) is a case-control study conducted in Besançon, France, and is registered on ClinicalTrials.gov under the number NCT02849795.

Psoriatic arthritis and the association with cardiometabolic disease: a narrative review

Psoriatic arthritis (PsA) is associated with a higher burden of cardiometabolic disorders, such as hypertension, dyslipidemia, diabetes, obesity, and cardiovascular disease (CVD), compared with the general population. These comorbidities are associated with the severity of disease, and adversely affect treatment outcomes in PsA. Comorbidities lead to increased physician visits and medications for patients and make the selection and maintenance of therapies challenging for physicians. Moreover, CVD is a leading cause of mortality in PsA. Therefore, optimal management of PsA should include not only treating the skin and joint disease, but also identifying comorbidities early, and managing them to improve long-term outcomes. Further studies are needed to understand the complex mechanisms, interactions, and trajectories of cardiometabolic comorbidities in psoriatic disease.

Increased short-term risk of cardiovascular events in inflammatory rheumatic diseases: results from a population-based cohort

Cardiovascular diseases represent the first cause of death globally. Inflammatory rheumatic disease (IRMD) patients, due to their lifelong inflammatory status, are at increased risk of developing premature cardiovascular disease. We aimed to assess the risk for cardiovascular events (CVE) in a population-based study. We followed 10,153 adults from the EpiDoC Cohort, a large Portuguese population-based prospective study (2011-2016). IRMD patients were identified at baseline and followed during 5 years. CVE were defined as a composite of self-reported myocardial infarction or angina pectoris, arrhythmias, valvular disease, stroke or transient ischemic attack and peripheral artery disease. Statistical analysis was performed by utilizing multivariate logistic regression and goodness-of-fit and area under ROC curve. At baseline, IRMD patients had similar age as the non-IRMD participants (mean age 55 vs 53 years-old; 72.1% female); dyslipidaemia and sedentary lifestyle were more common (40.7% vs 31.4%, p = 0.033; 87.3% vs 67%, p = 0.016, respectively). During an average follow-up of 2.6 years, 26 CVE were reported among IRMD patients. IRMD patients had higher odd of CVE (OR 1.64, 95% CI 1.04-2.58; p = 0.03), despite comparable mortality rates (1.7% vs 0.7%, p = 0.806). A stepwise approach attained that gender, age, history of hypertension, body mass index, IRMD and follow-up time are the most important predictive variables of CVE (AUC 0.80). IRMD patients, at community level, have an increased short-term risk of major CVE when compared to non-IRMD, and that highlights the potential benefit of a systematic screening and more aggressive cardiovascular risk assessment and management of these patients.

Cardiovascular Risk in Rheumatoid Arthritis and Mechanistic Links: From Pathophysiology to Treatment

Rheumatoid arthritis (RA) is an autoimmune inflammatory arthritis. Inflammation, however, can spread beyond the joints to involve other organs. During the past few years, it has been well recognized that RA associates with increased risk for cardiovascular (CV) disease (CVD) compared with the general population. This seems to be due not only to the increased occurrence in RA of classical CVD risk factors and comorbidities like smoking, obesity, hypertension, diabetes, metabolic syndrome, and others but also to the inflammatory burden that RA itself carries. This is not unexpected given the strong links between inflammation and atherosclerosis and CVD. It has been shown that inflammatory cytokines which are present in abundance in RA play a significant role in every step of plaque formation and rupture. Most of the therapeutic regimes used in RA treatment seem to offer significant benefits to that end. However, more studies are needed to clarify the effect of these drugs on various parameters, including the lipid profile. Of note, although pharmacological intervention significantly helps reduce the inflammatory burden and therefore the CVD risk, control of the so-called classical risk factors is equally important. Herein, we review the current evidence for the underlying pathogenic mechanisms linking inflammation with CVD in the context of RA and reflect on the possible impact of treatments used in RA.

Cardiovascular Risk Prediction in Ankylosing Spondylitis: From Traditional Scores to Machine Learning Assessment

INTRODUCTION

The performance of seven cardiovascular (CV) risk algorithms is evaluated in a multicentric cohort of ankylosing spondylitis (AS) patients. Performance and calibration of traditional CV predictors have been compared with the novel paradigm of machine learning (ML).

METHODS

A retrospective analysis of prospectively collected data from an AS cohort has been performed. The primary outcome was the first CV event. The discriminatory ability of the algorithms was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC), which is like the concordance-statistic (c-statistic). Three ML techniques were considered to calculate the CV risk: support vector machine (SVM), random forest (RF), and k-nearest neighbor (KNN).

RESULTS

Of 133 AS patients enrolled, 18 had a CV event. c-statistic scores of 0.71, 0.61, 0.66, 0.68, 0.66, 0.72, and 0.67 were found, respectively, for SCORE, CUORE, FRS, QRISK2, QRISK3, RRS, and ASSIGN. AUC values for the ML algorithms were: 0.70 for SVM, 0.73 for RF, and 0.64 for KNN. Feature analysis showed that C-reactive protein (CRP) has the highest importance, while SBP and hypertension treatment have lower importance.

CONCLUSIONS

All of the evaluated CV risk algorithms exhibit a poor discriminative ability, except for RRS and SCORE, which showed a fair performance. For the first time, we demonstrated that AS patients do not show the traditional ones used by CV scores and that the most important variable is CRP. The present study contributes to a deeper understanding of CV risk in AS, allowing the development of innovative CV risk patient-specific models.

Experimental and Investigational Pharmacotherapy for Psoriatic Arthritis: Drugs of the Future

In recent years, different studies have shown in psoriatic arthritis (PsA), the pathogenetic role of multiple cytokines other than tumor necrosis factor-α, such as interleukin-17 (IL-17), and IL-23 and dysfunction of Janus kinase (JAK)-signal family pathway. These molecules also represent the target of recently developed biologic (bDMARDs) and targeted synthetic disease modifying antirheumatic drugs (DMARDs) (tsDMARDs) currently investigated in several Phase II and III randomized controlled trials (RCTs). This review examines the therapeutic efficacy and safety of most recent developed IL-17, IL-23 and JAK inhibitors and highlights how these new PsA therapies are going to revolutionize the management of PsA in the next few years. Ongoing RCTs of these molecules in PsA are also described. Available literature on new anti-IL-17 and anti-IL-23 agents and JAK inhibitors demonstrates the potential role of these molecules as effective therapeutic strategies across multiple PsA clinical domains, along with an acceptable tolerability and safety profile, thus expanding the treatment options available for PsA patients. Of note, other molecules are under investigation, and among those, potential therapeutic strategies seem to be represented by single antibodies blocking simultaneously two cytokines, the agents inhibiting mammalian target of rapamycin (mTOR), receptor retinoic acid receptor-related orphan receptor gamma (RORγt), A3 adenosine receptor (A3 AR), and K⁺ channel voltage channel inhibitors. Remarkable progress has been made in PsA pharmacotherapy, and novel bDMARDs targeting IL17A and tsDMARDs (JAK-inhibitors) represent promising therapies. More clinical trials are needed to better characterize the efficacy and safety profile of these therapeutic agents in PsA treatment.

Clinicians' perspectives of shared care of psoriatic arthritis and psoriasis between rheumatology and dermatology: an interview study

OBJECTIVE

Shared care between rheumatologists and dermatologists is advocated for patients with psoriasis and psoriatic arthritis, but care provided by rheumatologists and dermatologists is often siloed, leading to inconsistencies in patient care and outcomes. This study aimed to describe rheumatologists' and dermatologists' perspectives on shared care.

METHODS

Face-to-face semi-structured interviews were conducted with 15 rheumatologists and 12 dermatologists across 27 centers in Australia. Transcripts were thematically analyzed.

RESULTS

Five themes were identified: uncertainties in disciplinary tensions (lacking expertise to make diagnosis, hesitation managing outside of scope, doubting screening tools, defaulting to own disciplinary priorities, hampered by lack of evidence), working in fragmented care (frustration with working in silos, striving to coordinate with primary care, persevering despite inequities in access to care, overwhelmed by managing comorbidities, under-resourced for complexity), building trusting relationships (establishing a culture of collaboration, seeking reliable cross-specialty help, depending on unique skills), prioritizing efficiency (minimizing burden for patients, avoiding resource overuse, deferring to pragmatic decisions), and strengthened by integrated care models (improving the timeliness and accuracy of care, centering on patient goals and understanding, enhancing cross-specialty partnerships, providing opportunities for education and training).

CONCLUSIONS

Rheumatologists and dermatologists endeavor to provide comprehensive care to their patients in disjointed healthcare settings but are hampered by a lack of training and a sense of feeling overburdened in the management of comorbidities. Interdisciplinary models are perceived to improve the care of patients but are limited by financial barriers to implementation and concerns about wasting health resources and improperly burdening patients. Key Points • Rheumatologists and dermatologists perceive that shared care models improve the care for their patients with psoriatic arthritis and psoriasis by improving the timeliness and accuracy of management, making the patient the center of care, and enhancing shared care relationships between specialties. • Screening tools to detect psoriatic arthritis may be under-utilized by dermatologists due to doubt about the accuracy of instruments and competing priorities in time-limited consultations. • Management of comorbid disease is challenging for rheumatologists and dermatologists due to a need to prioritize their specialty area and a sense of feeling overburdened while working in fragmented healthcare systems.

DAPSA, carotid plaque and cardiovascular events in psoriatic arthritis: a longitudinal study

OBJECTIVE

To examine whether Disease Activity in Psoriatic Arthritis (DAPSA) reflecting the inflammatory component of psoriatic arthritis (PsA) can predict cardiovascular (CV) events independent of traditional CV risk factors and subclinical carotid atherosclerosis.

METHODS

A cohort analysis was performed in patients with PsA who had been followed since 2006. The outcome of interest was first CV event. Four different CV disease (CVD) risk scores and DAPSA were computed at baseline. The presence of carotid plaque (CP) and carotid intima-media thickness (CIMT) was also determined in a subgroup of patients using high-resolution ultrasound. The association between DAPSA, CVD risk scores, CP, CIMT and the occurrence of CV events was assessed using Cox proportional hazard models.

RESULTS

189 patients with PsA (mean age: 48.9 years; male: 104 (55.0%)) were recruited. After a median follow-up of 9.9 years, 27 (14.3%) patients developed a CV event. Higher DAPSA was significantly associated with an increased risk of developing CV events (HR: 1.04, 95% CI (1.01 to 1.08), p=0.009). The association remained significant after adjusting for all CV risk scores in the multivariable models. In the subgroup analysis, 154 patients underwent carotid ultrasound assessment and 23 (14.9%) of them experienced a CV event. CP was associated with increased risk of developing CV events after adjusting for three CV risk scores and DAPSA, with HR ranging from 2.35 to 3.42.

CONCLUSION

Higher DAPSA and the presence of CP could independently predict CVD events in addition to traditional CV risk scores in patients with PsA.

Beyond skin deep: addressing comorbidities in psoriasis

Psoriasis is a chronic inflammatory disease that is commonly encountered in primary care and is associated with significant morbidity that extends beyond the skin manifestations. Psoriasis is associated with an elevated risk of psoriatic arthritis, cardiovascular disease, obesity, insulin resistance, mental health disorders, certain types of malignancy, inflammatory bowel disease and other immune-related disorders, and hepatic and renal disease. Enhanced recognition of these comorbidities may lead to earlier diagnosis and potentially better overall health outcomes. Psoriatic nail involvement, severe skin disease and obesity are associated with a greater risk of psoriatic arthritis. Individuals with psoriasis should be routinely screened for psoriatic arthritis to allow for early intervention to improve long term prognosis. Life expectancy is reduced in people with psoriasis due to a variety of causes, with cardiovascular disease and malignancy being the most common aetiologies. Psoriasis affects several factors that contribute to worsened quality of life and increased risk of depression and anxiety. Effective therapies are now available that have been shown to concurrently improve skin disease, quality of life and psychiatric symptoms. As the concordance between psychosocial impact and objective disease severity does not always correlate, it is essential to tailor management strategies specifically to the needs of each individual. Cigarette smoking and excess alcohol consumption are among the most important modifiable risk factors that increase the likelihood of psoriasis development and severity of skin disease. This provides a compelling rationale for smoking cessation and limiting alcohol intake in people with psoriasis beyond their traditional harmful health consequences.

Metabolic Syndrome and psoriatic arthritis: considerations for the clinician

Introduction: Metabolic Syndrome (MetS) is strictly interconnected with systemic inflammation, and increased evidence has described a close link between this condition and Psoriatic Arthritis (PsA).Areas covered: This review summarizes main studies exploring clinical aspects and prevalence of MetS in PsA cohorts. Further, there is accumulating evidence showing shared inflammatory pathways between MetS, its components, and PsA.Expert opinion: The high prevalence of MetS in PsA highlights the need for screening, evaluation, and close monitoring of MetS and its components (namely, diabetes mellitus, obesity, hypertension, and dyslipidemia) in psoriatic patients.Further studies should focus on the pathogenetic link between MetS and PsA. More studies are required to identify appropriate algorithms for the assessment and management of MetS in PsA patients.

Predictive Utility of Cardiovascular Risk Prediction Algorithms in Inflammatory Rheumatic Diseases: A Systematic Review

Objective.

We performed a systematic review of the literature to describe current knowledge of cardiovascular (CV) risk prediction algorithms in rheumatic diseases.

Methods.

A systematic search of MEDLINE, EMBASE, and Cochrane Central databases was performed. The search was restricted to original publications in English, had to include clinical CV events as study outcomes, assess the predictive properties of at least 1 CV risk prediction algorithm, and include patients with rheumatoid arthritis (RA), ankylosing spondylitis (AS), systemic lupus erythematosus (SLE), psoriatic arthritis (PsA), or psoriasis. By design, only cohort studies that followed participants for CV events were selected.

Results.

Eleven of 146 identified manuscripts were included. Studies evaluated the predictive performance of the Framingham Risk Score, QRISK2, Systematic Coronary Risk Evaluation (SCORE), Reynolds Risk Score, American College of Cardiology/American Heart Association Pooled Cohort Equations (PCE), Expanded Cardiovascular Risk Prediction Score for Rheumatoid Arthritis (ERS-RA), and the Italian Progetto CUORE score. Approaches to improve predictive performance of general risk algorithms in patients with RA included the use of multipliers, biomarkers, disease-specific variables, or a combination of these to modify or develop an algorithm. In both SLE and PsA patients, multipliers were applied to general risk algorithms. In studies of RA and SLE patients, efforts to include nontraditional risk factors, disease-related variables, multipliers, and biomarkers largely failed to substantially improve risk estimates.

Conclusion.

Our study confirmed that general risk algorithms mostly underestimate and at times overestimate CV risk in rheumatic patients. We did not find studies that evaluated models for psoriasis or AS, which further demonstrates a need for research in these populations.