Systematic assessment of heart valves and cardiac function by echocardiography in axial spondyloarthritis: A systematic review and meta-analysis.

OBJECTIVES: Axial Spondyloarthritis (ax-SpA) is associated with increased risk of cardiovascular disease (CVD)-specific deaths. We aimed to assess the prevalence of left ventricular (LV) systolic and diastolic dysfunction and valvular heart disease (VHD) by transthoracic echocardiography (TTE) in ax-SpA patients without history of CVD. METHODS: A systematic literature review was performed in PUBMED, Embase, Cochrane Library databases published before April 2020. We included all controlled studies assessing myocardial function and heart valve by TTE in ax-SpA without history of CVD. A meta-analysis was performed with random or fixed effects model estimating mean differences (MD) and odds ratio (OR). RESULTS: Literature search selected 189 abstracts and 28 articles were included (1471 ax-SpA and 1115 controls). ax-SpA had a statistically slight alteration of LV ejection fraction (MD=0.64%, 95%CI: 0.14-1.14). ax-SpA had more frequently LV diastolic dysfunction (OR=3.43, 95%CI: 1.78-6.59) and an alteration of E/A ratio (MD=0.15, 95%CI: 0.08-0.21), deceleration time (MD=13.07ms, 95%CI: 7.75-18.40), isovolumetric relaxation time (MD=7.90ms, 95%CI: 4.50-11.30), left-ventricular end diastolic (MD=0.57mm, 95%CI: 0.19-0.95) and systolic (MD=0.77mm, 95%CI: 0.36-1.17) diameters. Three studies (15%) used a combination of TTE parameters to diagnose LV diastolic dysfunction. Prevalence of mitral regurgitation and aortic regurgitation were similar in ax-SpA patients and healthy individuals. CONCLUSION: ax-SpA have a non-clinically relevant alteration of LV ejection fraction and similar prevalence of VHD compared to healthy individuals. LV diastolic TTE parameters are altered in ax-SpA. However, most studies do not combine set of parameters to recognize diastolic dysfunction. The clinical relevance of diastolic dysfunction observed by TTE remains to be determined in future longitudinal studies.

Efficacy of a tight-control and treat-to-target strategy in axial spondyloarthritis: results of the open-label, pragmatic, cluster-randomised TICOSPA trial.

OBJECTIVES: To compare the benefits of a tight-control/treat-to-target strategy (TC/T2T) in axial spondyloarthritis (axSpA) with those of usual care (UC). METHODS: Pragmatic, prospective, cluster-randomised, controlled, open, 1-year trial (NCT03043846). 18 centres were randomised (1:1). Patients met Axial Spondylo Arthritis International Society (ASAS) criteria for axSpA, had an Ankylosing Spondylitis Disease Activity Score (ASDAS) ≥2.1, received non-optimal treatment by non-steroidal anti-inflammatory drugs and were biologic-naive. INTERVENTIONS: (1) TC/T2T: visits every 4 weeks and prespecified strategy based on treatment intensification until achieving target (ie, ASDAS <2.1); (2) UC: visits every 12 weeks and treatment at the rheumatologist's discretion. MAIN OUTCOME: Percentage of patients with a ≥30% improvement on the ASAS-Health Index (ASAS-HI). Other efficacy outcomes and adverse events were recorded. A health economic evaluation was performed. STATISTICAL ANALYSIS: Two-level mixed models were used to estimate efficacy outcomes. Cost-effectiveness was assessed by the incremental cost per quality-adjusted life-year (QALY) gained for TC/T2T versus UC. RESULTS: 160 patients were included (80/group). Mean (SD) age was 37.9 (11.0) years and disease duration was 3.7 (6.2) years; 51.2% were men. ASDAS at inclusion was 3.0 (0.7), and ASAS-HI was 8.6 (3.7). ASAS-HI improved by ≥30% in 47.3% of the TC/T2T arm and in 36.1% of those receiving UC (non-significant). All secondary efficacy outcomes were more frequent in the TC/T2T arm, although not all statistically significant. Safety was similar in both arms. From a societal perspective, TC/T2T resulted in an additional 0.04 QALY, and saved €472 compared with UC. CONCLUSION: TC/T2T was not significantly superior to UC for the primary outcome, while many secondary efficacy outcomes favoured it, had a similar safety profile and was favourable from a societal health economic perspective. TRIAL REGISTRATION NUMBER: NCT03043846.

Efficacy, safety and cost-effectiveness of a web-based platform delivering the results of a biomarker-based predictive model of biotherapy response for rheumatoid arthritis patients: a protocol for a randomized multicenter single-blind active controlled clinical trial (PREDIRA).

BACKGROUND: Rheumatoid arthritis (RA) is one of the leading chronic inflammatory rheumatism. First-line therapy with synthetic disease-modifying antirheumatic drugs (sDMARD) is insufficiently effective in 40% of cases and these patients are treated with biotherapies. The increased use of these drugs each year is becoming a public health issue with considerable economic burden. This cost is 20 times higher than that of sDMARD. However, among patients treated with biotherapies, clinical practice shows that about one third will not respond to the selected drug. In nonresponse cases, practitioners currently have no choice but to perform an empirical switching between different treatments, because no tool capable of predicting the response or nonresponse to these molecules is currently available. METHODS: The study is a prospective, phase III, controlled, multicenter, and randomized, single-blind (patient) clinical trial, including RA patients with a previous failure to anti-TNF therapies. The main objective is the analysis of the clinical and pharmacoeconomic impact after 6 months of treatment. Intervention arm: prescription of biotherapy (rituximab, adalimumab, abatacept) using SinnoTest® software, a prediction software based on proteomic biomarkers. Control arm: prescription of biotherapy based on current practice, without the SinnoTest® software (any biotherapy). In addition, a substudy will be carried out within this trial to generate a biobank and further analyze the proteomic profile of the patients and their modification throughout the study. DISCUSSION: This clinical trial study will be the first validation study of a biotherapy response prediction software, bringing personalized medicine into the management of RA. We expect that the findings from this study will bring several benefits for the patient and the Health Care System. TRIAL REGISTRATION: ClincalTrials.gov NCT04147026 . Registered on 31 October, 2019.