Dejaco, Christian

Abstract Objectives Polymyalgia rheumatica (PMR) is the second most frequent inflammatory rheumatic disease in older adults, after rheumatoid arthritis. Recommendations for the management of PMR, developed by the German, Austrian and Swiss societies of rheumatology and other organizations were published in 2018. Methods These recommendations are now updated based on a systematic literature search that covered the evidence published between July 2016 and January 2024 on therapeutic interventions and prognostic factors for PMR. The search string followed that used in the original recommendations, with an extension for targeted synthetic disease-modifying antirheumatic drugs (DMARDs). Based on evidence and expert opinions, the task force (12 physicians, two healthcare professionals and two patients from three countries) developed a set of four overarching principles and seven specific recommendations. Results The current update reiterates previous guideline recommendations for glucocorticoids (15–25 mg prednisone equivalents per day) as initial treatment for PMR once diagnosis has been confirmed, with subsequent tapering over 4–12 months (depending on whether a glucocorticoid sparing agent is used), with monitoring of disease activity and treatment-related adverse effects. Interleukin-6 receptor blocking agents should be considered in addition to glucocorticoids in patients with relapsing disease and can be considered in patients with new-onset PMR at high risk for glucocorticoid-related adverse events. Methotrexate or rituximab may be alternatives. Older and frail patients should also be offered an individualized exercise program. Conclusion These updated recommendations should serve as an aid to evidence-based decisions ensuring high-quality care for all patients with PMR.

ObjectiveA dysregulated immune response is involved in the pathogenesis of polymyalgia rheumatica (PMR) and giant cell arteritis (GCA). These diseases have been reported as immune‐related adverse events in patients with cancer treated with immune checkpoints inhibitors. In this cross‐sectional study, the relationship between soluble immune checkpoint molecules (sICMs) and clinical/imaging features of PMR and GCA was investigated.MethodsConsecutive patients with PMR diagnosed according to the criteria by Bird et al were compared with age‐ and sex‐matched healthy controls. Patients with PMR and overlapping GCA had to also satisfy the 1990 ACR classification criteria for GCA. All patients underwent standardized clinical, laboratory examination, and 18F‐fluorodeoxyglucose positron emission tomography/computed tomography scans. The sICM anticytotoxic T Ly‐4, the programmed cell death protein 1 (PD‐1), and PD‐1 ligands PD‐L1 and PD‐L2 were measured by enzyme‐linked immunosorbent assay.ResultsForty patients (80% women, mean age 76 years, and mean disease duration 88 days) were assessed. Of these, 30 had isolated PMR and 10 had PMR with GCA. Patients showed significantly higher concentrations of all sICMs compared with controls (P < 0.001). Conditional logistic regression revealed the strong discriminative capacity of these molecules between patients and healthy controls, with PD‐1 showing complete separation among groups (effect size = 0.78) and PD‐L1 (odds ratio [OR] 134.33, P < 0.001) and PD‐L2 (OR 63.00, P < 0.001) demonstrating the strongest ability to distinguish patients from controls. Correlations between sICM levels and clinical features were generally weak or absent, with no significant differences based on disease phenotype or glucocorticoid exposure. Results were similar in glucocorticoid‐naive patients.ConclusionsICMs are significantly elevated in PMR and GCA and strongly differentiate patients from healthy controls. Although they do not correlate with clinical or imaging features, their consistent elevation in active disease might suggest a complex interplay between innate and adaptive immunity.image

Abstract Objectives To explore current management practices for PMR by general practitioners (GPs) and rheumatologists including implications for clinical trial recruitment. Methods An English language questionnaire was constructed by a working group of rheumatologists and GPs from six countries. The questionnaire focused on: 1: Respondent characteristics; 2: Referral practices; 3: Treatment with glucocorticoids; 4: Diagnostics; 5: Comorbidities; and 6: Barriers to research. The questionnaire was distributed to rheumatologists and GPs worldwide via members of the International PMR/Giant Cell Arteritis Study Group. Results In total, 394 GPs and 937 rheumatologists responded to the survey. GPs referred a median of 25% of their suspected PMR patients for diagnosis and 50% of these were returned to their GP for management. In general, 39% of rheumatologists evaluated patients with suspected PMR &gt;2 weeks after referral, and a median of 50% of patients had started prednisolone before rheumatologist evaluation. Direct comparison of initial treatment showed that the percentage prescribing &gt;25 mg prednisolone daily for patients was 30% for GPs and 12% for rheumatologists. Diagnostic imaging was rarely used. More than half (56%) of rheumatologists experienced difficulties recruiting people with PMR to clinical trials. Conclusion This large international survey indicates that a large proportion of people with PMR are not referred for diagnosis, and that the proportion of treatment-naive patients declined with increasing time from referral to assessment. Strategies are needed to change referral and management of people with PMR, to improve clinical practice and facilitate recruitment to clinical trials.

Although great improvements have been achieved in the fields of diagnosing and treating patients with giant-cell arteritis (GCA) in the last decades, several questions remain unanswered. The progressive increase in the number of older people, together with growing awareness of the disease and use of advanced diagnostic tools by healthcare professionals, foretells a possible increase in both prevalence and number of newly diagnosed patients with GCA in the coming years. A thorough clarification of pathogenetic mechanisms and a better definition of clinical subsets are the first steps toward a better understanding of the disease and, subsequently, toward a better use of existing and future therapeutic options. Examination of the role of different imaging techniques for GCA diagnosing and monitoring, optimization, and personalization of glucocorticoids and other immunosuppressive agents, further development and introduction of novel drugs, identification of prognostic factors for long-term outcomes and management of treatment discontinuation will be the central topics of the research agenda in years to come.

Background: Glucocorticoids (GCs) can cause osteoporosis (OP). Prior observational research on bone density and the effects of GCs in polymyalgia rheumatica (PMR) and vasculitides is scarce and inconclusive. Methods: Rh-GIOP is a prospective cohort study of bone health in patients with inflammatory rheumatic diseases. In this cross-sectional baseline analysis, we focused on patients with PMR and different forms of vasculitides. Multivariable linear regression was used to model the effect of current and cumulative GC intake on the minimum T-score at any site (mTs; at either lumbar spine or hip), with comprehensive adjustment for confounders. In separate models, GCs were modelled both as continuous and categorical predictors. Sensitivity analyses, stratifying by measurement site and disease, were conducted. Results: A total of 198 patients, with a mean age of 67.7 ± 11.4 years and a mean disease duration of 5.3 ± 6.3 years, were included. Most patients suffered from PMR (36%), giant cell arteritis (26%) or granulomatosis with polyangiitis (17%). Women comprised 66.7% of the patients, and 87.4% were currently taking GCs. The mean CRP was 13.2 ± 26.1 mg/L. OP diagnosed by dual energy X-ray absorptiometry (DXA) (T-score ≤ −2.5) was present in 19.7% of the patients. While 88% were taking vitamin D supplements, calcium supplementation (4%) and treatment with anti-resorptive agents (17%) were relatively infrequent. Only 7% had a vitamin D deficit. Neither current (β(continuous model) = −0.01, 97.5% CI –0.02 to 0.01; p(all models) ≥ 0.49) nor cumulative (β(continuous model) = 0.01, 97.5% CI −0.04 to 0.07; p(all models) ≥ 0.35) GC doses were associated with mTs in any model. CRP was not associated with mTs in any model (p(all models) ≥ 0.56), and no interaction between CRP and GC intake was observed (p for interaction(all models) ≥ 0.32). Across all analyses, lower body mass index (p(all models) ≤ 0.01), history of vertebral fractures (p(all models) ≤ 0.02) and proton-pump inhibitor intake (p(all models) ≤ 0.04) were associated with bone loss. Sensitivity analyses with femoral neck and lumbar spine T-scores as dependent variables led to similar results as the analysis that excluded patients with PMR. Conclusions: In this cohort of PMR and vasculitides, we found a similar prevalence of OP by DXA to the overall elderly German population. Vitamin D supplementation was very common, and vitamin D insufficiency was less frequent than expected in Germans. There was no association between current or cumulative GC intake, CRP and impaired bone density. Proton-pump inhibitors seem to be a major, but somewhat neglected, risk factor for OP and should be given more attention. Our findings require confirmation from longitudinal analyses of the Rh-GIOP and other cohorts.

Objective To summarise the available information on physician workforce modelling, to develop a rheumatology workforce prediction risk of bias tool and to apply it to existing studies in rheumatology. Methods A systematic literature review (SLR) was performed in key electronic databases (1946–2017) comprising an update of an SLR in rheumatology and a hierarchical SLR in other medical fields. Data on the type of workforce prediction models and the factors considered in the models were extracted. Key general as well as specific need/demand and supply factors for workforce calculation in rheumatology were identified. The workforce prediction risk of bias tool was developed and applied to existing workforce studies in rheumatology. Results In total, 14 studies in rheumatology and 10 studies in other medical fields were included. Studies used a variety of prediction models based on a heterogeneous set of need/demand and/or supply factors. Only two studies attempted empirical validation of the prediction quality of the model. Based on evidence and consensus, the newly developed risk of bias tool includes 21 factors (general, need/demand and supply). The majority of studies revealed high or moderate risk of bias for most of the factors. Conclusions The existing evidence on workforce prediction in rheumatology is scarce, heterogeneous and at moderate or high risk of bias. The new risk of bias tool should enable future evaluation of workforce prediction studies. This review informs the European League Against Rheumatism points to consider for the conduction of workforce requirement studies in rheumatology.