The primary objective of this study was to describe and compare clinical and musculoskeletal (MS) ultrasound (US) features between psoriatic arthritis (PsA) patients treated with full and tapered dosage of biologic (b) disease-modified antirheumatic drugs (DMARDs). The secondary objective was to compare clinical and MSUS features between PsA patients treated with bDMARDs with and without concomitant synthetic (s) DMARDs. We evaluated 102 patients with PsA treated with bDMARDs. The bDMARD dosage tapering had been made in patients with a maintained remission or minimal disease activity (MDA) according to their attending rheumatologist and with the patient acceptance. The bDMARD tapering consisted of the following: increase the interval between doses for subcutaneous bDMARDs or reduction of the dose for intravenous bDMARDs. The clinical evaluation consisted of a dermatologic and rheumatologic assessment of disease activity. The presence of B-mode and Doppler synovitis, tenosynovitis, enthesopathy, and paratenonitis was investigated by a rheumatologist blinded to drug dosage, clinical assessments, and laboratory results. Seventy-four (72.5 %) patients received full dosage of bDMARDs and 28 (27.5 %) received tapered dosage. The duration with biologic therapy and with current biologic therapy was significantly higher in patients with tapered dosages (p = 0.008 and p = 0.001, respectively). We found no significant differences between clinical, laboratory, and US variables, both for BM and CD between patients with full and tapered dosage and between patients with and without concomitant sDMARD. Clinical assessment, MSUS variables, and MDA status are similar in patients receiving full and tapered dosage of bDMARDs.

Dose-reduction strategies would increase ustekinumab efficiency in patients that achieve PASI 75 without psoriatic arthritis, diabetes mellitus, previous BT and concomitant treatment with conventional systemic drugs.

The protocol helped to increase the efficiency of BT, with decreasing doses of BT without affecting treatment effectiveness.

Background Very few data are available on predictors of minimal disease activity (MDA) in patients with recent-onset psoriatic arthritis (PsA). Such data are crucial, since the therapeutic measures used to change the adverse course of PsA are more likely to succeed if we intervene early. In the present study, we used predictive models based on machine learning to detect variables associated with achieving MDA in patients with recent-onset PsA. Methods We performed a multicenter observational prospective study (2-year follow-up, regular annual visits). The study population comprised patients aged ≥18 years who fulfilled the CASPAR criteria and less than 2 years since the onset of symptoms. The dataset contained data for the independent variables from the baseline visit and from follow-up visit number 1. These were matched with the outcome measures from follow-up visits 1 and 2, respectively. We trained a random forest–type machine learning algorithm to analyze the association between the outcome measure and the variables selected in the bivariate analysis. In order to understand how the model uses the variables to make its predictions, we applied the SHAP technique. We used a confusion matrix to visualize the performance of the model. Results The sample comprised 158 patients. 55.5% and 58.3% of the patients had MDA at the first and second follow-up visit, respectively. In our model, the variables with the greatest predictive ability were global pain, impact of the disease (PsAID), patient global assessment of disease, and physical function (HAQ-Disability Index). The percentage of hits in the confusion matrix was 85.94%. Conclusions A key objective in the management of PsA should be control of pain, which is not always associated with inflammatory burden, and the establishment of measures to better control the various domains of PsA.

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