Polymyalgia rheumatica.

Polymyalgia rheumatica is an inflammatory disease producing pain and stiffness, mainly in the shoulders and pelvic girdle, in people older than 50 years. Elevation of acute phase reactants is common due to the inflammatory nature of the disease. Since there are no specific diagnostic tests, diagnosis requires the exclusion of other diseases with similar presentations. Imaging has helped to identify the pathological substrate of polymyalgia rheumatica and it is increasingly used to support clinical diagnosis or to detect coexistent giant cell arteritis. Although polymyalgia rheumatica does not clearly impair survival or organ function, it can have a detrimental effect on quality of life. Glucocorticoids at 12·5-25·0 mg prednisone per day are effective in inducing remission in most individuals but, when tapered, relapses occur in 40-60% of those affected and side-effects are common. Assessment of disease activity can be difficult because pain related to common comorbidities such as osteoarthritis and tendinopathies, can return when glucocorticoids are reduced, and acute phase reactants are increased less during flares in individuals undergoing treatment or might increase for other reasons. The role of imaging in assessing disease activity is not yet completely defined. In the search for more efficient and safer therapies, tocilizumab and sarilumab have shown efficacy in randomised controlled trials and additional targeted therapies are emerging. However, judicious risk-benefit balance is essential in applying therapeutic innovations to people with polymyalgia rheumatica.

Validation of a new glucocorticoid-specific Patient-Reported Outcome Questionnaire (the Steroid PRO).

OBJECTIVES: Glucocorticoids used in the treatment of inflammatory rheumatic conditions can impact on health-related quality of life. An underpinning qualitative study developed a long-list of candidate items for a treatment-specific patient-reported outcome (PRO) measure. The objective of this paper is to determine scale structure and psychometric properties of the Steroid PRO. METHODS: A cross-sectional survey of adults from the UK, USA, Australia and New Zealand, taking glucocorticoids for a rheumatic disease. Initial survey collected demographics, clinical information, 40 Steroid PRO candidate items and EuroQol-5 Dimensions- 5 levels (EQ-5D-5L). Follow-up, 3-5 days later, collected Steroid PRO candidate items and a condition-change ('transition') question. Analysis included Rasch measurement model, exploratory factor analysis (EFA), and hypothesis testing for discriminative validity, convergence validity and test-retest reliability. RESULTS: Total responses 946: UK n=743 (79%); USA n=139 (15%); Australia/New Zealand n=64 (7%); mean age 57.6 (SD=13.6); 833 (88%) women. Participants with inflammatory arthritis n=197 (21%), connective tissue disease and/or vasculitis n=402 (42%), giant cell arteritis and/or polymyalgia rheumatica n=347 (37%). Twenty-five items were removed due to lack of fit to Rasch model. Of the remaining items, EFA suggested four subscales: Social impact (4 items); Impact on appearance (3 items); Psychological impact (5 items); Treatment concerns (3 items). Rasch modelling supported a four-subscale structure and total score, confirming construct validity and reliability. Hypothesis testing confirmed discriminant and convergence validity. Intraclass correlation coefficient (total score) was 0.809 demonstrating excellent (test-retest) reliability. CONCLUSIONS: The Steroid PRO is a 15-item, valid and reliable scale for measuring the impact of glucocorticoid therapy in people with rheumatic diseases.

Polymyalgia rheumatica shows metabolomic alterations that are further altered by glucocorticoid treatment: Identification of metabolic correlates of fatigue.

OBJECTIVE: In polymyalgia rheumatica (PMR), glucocorticoids (GCs) relieve pain and stiffness, but fatigue may persist. We aimed to explore the effect of disease, GCs and PMR symptoms in the metabolite signatures of peripheral blood from patients with PMR or the related disease, giant cell arteritis (GCA). METHODS: Nuclear magnetic resonance spectroscopy was performed on serum from 40 patients with untreated PMR, 84 with new-onset confirmed GCA, and 53 with suspected GCA who later were clinically confirmed non-GCA, and 39 age-matched controls. Further samples from PMR patients were taken one and six months into glucocorticoid therapy to explore relationship of metabolites to persistent fatigue. 100 metabolites were identified using Chenomx and statistical analysis performed in SIMCA-P to examine the relationship between metabolic profiles and, disease, GC treatment or symptoms. RESULTS: The metabolite signature of patients with PMR and GCA differed from that of age-matched non-inflammatory controls (R2 > 0.7). There was a smaller separation between patients with clinically confirmed GCA and those with suspected GCA who later were clinically confirmed non-GCA (R2 = 0.135). In PMR, metabolite signatures were further altered with glucocorticoid treatment (R2 = 0.42) but did not return to that seen in controls. Metabolites correlated with CRP, pain, stiffness, and fatigue (R2 ≥ 0.39). CRP, pain, and stiffness declined with treatment and were associated with 3-hydroxybutyrate and acetoacetate, but fatigue did not. Metabolites differentiated patients with high and low fatigue both before and after treatment (R2 > 0.9). Low serum glutamine was predictive of high fatigue at both time points (0.79-fold change). CONCLUSION: PMR and GCA alter the metabolite signature. In PMR, this is further altered by glucocorticoid therapy. Treatment-induced metabolite changes were linked to measures of inflammation (CRP, pain and stiffness), but not to fatigue. Furthermore, metabolite signatures distinguished patients with high or low fatigue.

Modifiable risk factors and inflammation-related proteins in polymyalgia rheumatica: genome-wide meta-analysis and Mendelian randomisation.

OBJECTIVE: Polymyalgia rheumatica (PMR) is an age-related inflammatory disease of unknown cause. We aimed to identify potentially modifiable risk factors and therapeutic targets for preventing or treating PMR. METHODS: We meta-analysed genetic association data from 8,156 cases of PMR (defined using diagnostic codes and self-report) and 416,495 controls of European ancestry from the UK Biobank and FinnGen. We then performed Mendelian randomization analyses to estimate the association between eight modifiable risk factors (using data from up to 1.2 million individuals) and 65 inflammation-related circulating proteins (up to 55,792 individuals), using the inverse variance weighted and pleiotropy robust methods. RESULTS: We identified three novel genome-wide significant loci in the IL1R1, NEK6 and CCDC88B genes and confirmation of previously described associations with HLA-DRB1 and ANKRD55. Genetically predicted smoking intensity (OR 1.32; 95%CI 1.08-1.60; p = 0.006) and visceral adiposity (OR 1.22; 95%CI 1.10-1.37; p = 3.10x10-4) were associated with PMR susceptibility. Multiple circulating proteins related to IL-1 family signaling were associated with PMR. IL-1 receptor-like 2, also known as IL-36 receptor (OR 1.25; p = 1.89x10-32), serum amyloid A2 (OR 1.06, 9.91x10-10) and CXCL6 (OR 1.09, p = 4.85x10-7) retained significance after correction for multiple testing. CONCLUSION: Reducing smoking and visceral adiposity at a population level might reduce incidence of PMR. We identified proteins that may play causal roles in PMR, potentially suggesting new therapeutic opportunities. Further research is needed before these findings are applied to clinical practice.

Estimating overdiagnosis in giant cell arteritis diagnostic pathways using genetic data: genetic association study.

OBJECTIVES: Giant cell arteritis (GCA) may be confirmed by temporal artery biopsy (TAB) but false negatives can occur. GCA may be overdiagnosed in TAB-negative cases, or if neither TAB nor imaging is done. We used Human Leucocyte Antigen (HLA) genetic association of TAB-positive GCA as an "unbiased umpire" test to estimate historic overdiagnosis of GCA. METHODS: Patients diagnosed with GCA between 1990-2014 were genotyped. During this era, vascular imaging alone was rarely used to diagnose GCA. HLA region variants were jointly imputed from genome-wide genotypic data of cases and controls. Per-allele frequencies across all HLA variants with p< 1.0x1 0 -5 were compared with population control data to estimate overdiagnosis rates in cases without a positive TAB. RESULTS: Genetic data from 663 GCA patients were compared with data from 2619 population controls. TAB-negative GCA (n = 147) and GCA without TAB result (n = 160) had variant frequencies intermediate between TAB-positive GCA (n = 356) and population controls. For example, the allele frequency of HLA-DRB1*04 was 32% for TAB-positive GCA, 29% for GCA without TAB result, 27% for TAB-negative GCA and 20% in population controls. Making several strong assumptions, we estimated that around two-thirds of TAB-negative cases and one-third of cases without TAB result may have been overdiagnosed. From these data, TAB sensitivity is estimated as 88%. CONCLUSIONS: Conservatively assuming 95% specificity, TAB has a negative likelihood ratio of around 0.12. Our method for utilising standard genotyping data as an "unbiased umpire" might be used as a way of comparing the accuracy of different diagnostic pathways.

Angiotensin receptor blockade is associated with increased risk of giant cell arteritis.

OBJECTIVES: Angiotensin II is implicated in GCA pathology. We examined whether the use of angiotensin receptor blockers (ARBs) is associated with GCA risk compared with angiotensin-converting enzyme inhibitors (ACEis) or other antihypertensives. METHODS: We performed a matched cohort study including adults who were initiators of antihypertensives in UK primary care data between 1995 and 2019. Treatment-naïve individuals without prior GCA or PMR were categorized into three groups-ARB initiators, ACEi initiators, or other antihypertensive initiators (beta-blockers, calcium channel blockers, diuretics or alpha-adrenoceptor blockers)-and followed for up to 5 years. Incident GCA was defined using validated Read codes, with age of onset ≥50 years and two or more glucocorticoid prescriptions. Inverse probability-weighted Cox models were used to model outcome risk, adjusting for lifestyle parameters, comorbidities and comedications. RESULTS: Among >1 million new starters of antihypertensives (81 780 ARBs, 422 940 ACEis and 873 066 other antihypertensives), the incidence rate of GCA per 10 000 patient-years was 2.73 (95% CI 2.12, 3.50) in the ARB group, 1.76 (95% CI 1.25, 2.39) in the ACEi group and 1.90 (95% CI 1.37, 2.56) in the other antihypertensives group. The hazard of GCA was higher in ARB initiators [hazard ratio (HR) 1.55; 95% CI 1.16, 2.06] than initiators of ACEis, but similar between initiators of other antihypertensives and ACEis (HR 1.08; 95% CI 0.87, 1.35). CONCLUSIONS: Initiation of ARBs is associated with a higher risk of GCA compared with ACEis or other antihypertensives. Mechanistic studies of angiotensin receptor biology will provide further clarity for our findings.

Does the halo count on temporal and axillary ultrasound predict time to relapse in giant cell arteritis?

OBJECTIVES: To determine whether the halo count (HC) on temporal and axillary artery US (TAUS) predicts time to relapse in giant cell arteritis (GCA). METHODS: We conducted a single-centre retrospective study of GCA patients. HC, the number of vessels with non-compressible halo on the TAUS at diagnosis, was determined by retrospective review of the US report and images. Relapse was defined as increase in GCA disease activity requiring treatment escalation. Cox proportional hazard regression was used to identify predictors of time to relapse. RESULTS: A total of 72 patients with confirmed GCA were followed up for a median of 20.9 months. Thirty-seven of 72 (51.4%) relapsed during follow-up, at a median prednisolone dose of 9 mg (range 0-40 mg). Large-vessel (axillary artery) involvement did not predict relapse. On univariable analysis, a higher HC was associated with shorter time to relapse (per-halo hazard ratio 1.15, 95% CI 1.02, 1.30; P = 0.028). However, statistical significance was lost when the 10 GCA patients with an HC of zero were excluded from analysis. CONCLUSION: In this real-world setting, relapse occurred at a wide range of glucocorticoid doses and was not predicted by axillary artery involvement. GCA patients with a higher HC at diagnosis were significantly more likely to relapse, but significance was lost on excluding those with HC of zero. HC is feasible in routine care and may be worth incorporating into future prognostic scores. Further research is required to determine whether confirmed GCA patients with negative TAUS represent a qualitatively different subphenotype within the GCA disease spectrum.

Micro-RNA content of circulating extracellular vesicles in early rheumatoid arthritis as biomarkers and mediators of methotrexate efficacy.

OBJECTIVES: Extracellular vesicles (EVs) are abundant in body fluids, contributing to intercellular signalling by transferring cargo that includes microRNAs (miRs) - themselves implicated in pathobiology. For the first time we evaluated the potential of EV miRs to contribute diagnostic information in early RA, predict methotrexate (MTX) efficacy or shed light on the drug's mechanism of action. METHODS: 798 miRs isolated from serum-derived EVs of 46 patients with untreated RA, 23 with untreated polymyalgia rheumatica (PMR; inflammatory disease control group) and 12 in whom significant inflammatory disease had been excluded (non-inflammatory controls; NICs) were profiled (Nanostring); the same measurements were made for RA patients after 6 months' MTX treatment. Analyses took multiple testing into account. RESULTS: 28 EV miRs were robustly differentially expressed between early RA (but not PMR) patients and NICs after correction for age and sex, suggesting discriminatory value. Cross-validated partial least squared-discriminant analysis also indicated the predictive potential of a distinct baseline EV miR signature with respect to MTX-induced remission at 6 months. The change in expression of 13 miRs over the course of MTX treatment differed significantly between responders and non-responders, and four of those exhibiting increased relative abundance amongst responders have known roles in regulating the pathogenic potential of synovial fibroblasts, namely miR-212-3p, miR-338-5p, miR-410-3p, and miR-537. CONCLUSION: Our data highlight the potential of serum EV miRs as diagnostic and therapeutic biomarkers, highlighting a novel potential mechanism via which MTX may exert its therapeutic effect in early RA that warrants further investigation.

Measuring the impact of steroid therapy on health-related quality of life in patients with rheumatic diseases: international development of a glucocorticoid treatment-specific patient-reported outcome measure.

OBJECTIVES: Glucocorticoids (GCs) ('steroids') are used to treat rheumatic diseases but adverse effects are common. We aimed to explore the impact of GC therapy on health-related quality of life (HRQoL), to inform the development of a treatment-specific patient-reported outcome measure (PROM) for use in clinical trials and practice. METHODS: Semi-structured qualitative interviews were conducted with patients from the UK, USA and Australia, treated for a rheumatic condition with GCs in the last 2 years. Purposive sampling was used to select participants with a range of demographic and disease features. An initial conceptual framework informed interview prompts and cues. Interviews elicited GC-related physical and psychological symptoms and salient aspects of HRQoL in relation to GC therapy. Interview data were analysed inductively to develop initial individual themes and domains. Candidate questionnaire items were developed and refined. RESULTS: Sixty semi-structured qualitative interviews were conducted (UK n = 34, USA n = 10, Australia n = 16). The mean age was 58 years; 39/60 were female; and 18 rheumatic diseases were represented. Some 126 individual themes were identified and organized into six domains: physical symptoms; psychological symptoms; psychological impact of steroids; impact of steroids on participation; impact of steroids on relationships; and benefits of steroids. Candidate questionnaire items were tested and refined by piloting with patient research partners, iterative rounds of cognitive interviews and linguistic translatability assessment, informing a draft questionnaire. CONCLUSION: We describe an international qualitative study to develop candidate items for a treatment-specific PROM for patients with rheumatic diseases. A future survey will enable the validation of a final version of the PROM.

Relapse after cessation of weekly tocilizumab for giant cell arteritis: a multicentre service evaluation in England.

OBJECTIVES: The National Health Service in England funds 12 months of weekly subcutaneous tocilizumab (qwTCZ) for patients with relapsing or refractory giant cell arteritis (GCA). During the COVID-19 pandemic, some patients were allowed longer treatment. We sought to describe what happened to patients after cessation of qwTCZ. METHODS: Multicentre service evaluation of relapse after stopping qwTCZ for GCA. The log-rank test was used to identify significant differences in time to relapse. RESULTS: 336 GCA patients were analysed from 40 centres, treated with qwTCZ for a median (interquartile range, IQR) of 12 (12-17) months. At time of stopping qwTCZ, median (IQR) prednisolone dose was 2 (0-5) mg/day. By 6, 12 and 24 months after stopping qwTCZ, 21.4%, 35.4% and 48.6% respectively had relapsed, requiring an increase in prednisolone dose to a median (IQR) of 20 (10-40) mg/day. 33.6% of relapsers had a major relapse as defined by EULAR. Time to relapse was shorter in those that had previously also relapsed during qwTCZ treatment (P = 0.0017); in those not in remission at qwTCZ cessation (P = 0.0036); and in those with large vessel involvement on imaging (P = 0.0296). Age ≥65, gender, GCA-related sight loss, qwTCZ treatment duration, TCZ taper, prednisolone dosing, and conventional synthetic DMARD use were not associated with time to relapse. CONCLUSION: Up to half our patients with GCA relapsed after stopping qwTCZ, often requiring a substantial increase in prednisolone dose. One third of relapsers had a major relapse. Extended use of TCZ or repeat treatment for relapse should be considered for these patients.

Developing consensus in Histopathology: the role of the Delphi method.

The Delphi method is a well-established research tool, used for consensus building across a number of fields. Despite its widespread use, and popularity in many medical specialities, there is a paucity of literature on the use of the Delphi method in Histopathology. This literature review seeks to critique the Delphi methodology and explore its potential applications to histopathology-based clinical and research questions. We review those published studies that have utilized the Delphi methodology in Histopathology settings and specifically outline the advantages and limitations of this technique, highlighting situations where its application can be most effective.

A methodological framework for AI-assisted diagnosis of active aortitis using radiomic analysis of FDG PET-CT images: Initial analysis.

BACKGROUND: The aim of this study was to explore the feasibility of assisted diagnosis of active (peri-)aortitis using radiomic imaging biomarkers derived from [18F]-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography (FDG PET-CT) images. METHODS: The aorta was manually segmented on FDG PET-CT in 50 patients with aortitis and 25 controls. Radiomic features (RF) (n = 107), including SUV (Standardized Uptake Value) metrics, were extracted from the segmented data and harmonized using the ComBat technique. Individual RFs and groups of RFs (i.e., signatures) were used as input in Machine Learning classifiers. The diagnostic utility of these classifiers was evaluated with area under the receiver operating characteristic curve (AUC) and accuracy using the clinical diagnosis as the ground truth. RESULTS: Several RFs had high accuracy, 84% to 86%, and AUC scores 0.83 to 0.97 when used individually. Radiomic signatures performed similarly, AUC 0.80 to 1.00. CONCLUSION: A methodological framework for a radiomic-based approach to support diagnosis of aortitis was outlined. Selected RFs, individually or in combination, showed similar performance to the current standard of qualitative assessment in terms of AUC for identifying active aortitis. This framework could support development of a clinical decision-making tool for a more objective and standardized assessment of aortitis.

The Patients' Perspective of Important Glucocorticoid Effects: A Nominal Group Study Among Patients With Systemic Lupus Erythematosus and Myositis.

BACKGROUND/OBJECTIVE: The objective of this cohort study was to understand the positive and negative effects of glucocorticoids (GCs) in patients with systemic lupus erythematosus and myositis from the patients' perspective with the aim of developing a patient-reported outcome measure. METHODS: Included patients were asked to participate in 1 of 5 nominal groups where demographic information and a quality-of-life questionnaire were collected. Patients were asked 2 open-ended questions on (1) benefits and (2) harms related to GC use. We used the Nominal Group Technique, a highly structured consensus method in which responses are generated, shared, and ranked. Descriptive statistics were used to summarize the results. Nominal group sessions took place from April to May 2019. RESULTS: Of 206 patients who were approached, 21 patients participated, 17 with systemic lupus erythematosus and 4 with myositis, predominantly women with more than 10 years of steroid use. The domains ranked highest for GC benefits were disease control (55 votes), fast onset of action (30 votes), increased energy (10 votes), and pain relief (10 votes). The highest-ranked negative effects were bone loss (38 votes) and weight gain (16 votes); psychological effects and damaged internal organs each received 12 votes. CONCLUSIONS: The top-ranked GC effects-both benefits and harms-among patients with systemic rheumatic disease are consistent with the top domains associated with GC use reported with other inflammatory diseases. This study informs the development of a comprehensive patient-reported outcome measure that can be used across inflammatory diseases.

A Genome-wide Association Study Identifies Risk Alleles in Plasminogen and P4HA2 Associated with Giant Cell Arteritis.

Giant cell arteritis (GCA) is the most common form of vasculitis in individuals older than 50 years in Western countries. To shed light onto the genetic background influencing susceptibility for GCA, we performed a genome-wide association screening in a well-powered study cohort. After imputation, 1,844,133 genetic variants were analyzed in 2,134 case subjects and 9,125 unaffected individuals from ten independent populations of European ancestry. Our data confirmed HLA class II as the strongest associated region (independent signals: rs9268905, p = 1.94 × 10-54, per-allele OR = 1.79; and rs9275592, p = 1.14 × 10-40, OR = 2.08). Additionally, PLG and P4HA2 were identified as GCA risk genes at the genome-wide level of significance (rs4252134, p = 1.23 × 10-10, OR = 1.28; and rs128738, p = 4.60 × 10-9, OR = 1.32, respectively). Interestingly, we observed that the association peaks overlapped with different regulatory elements related to cell types and tissues involved in the pathophysiology of GCA. PLG and P4HA2 are involved in vascular remodelling and angiogenesis, suggesting a high relevance of these processes for the pathogenic mechanisms underlying this type of vasculitis.

Cardiovascular risk factors associated with polymyalgia rheumatica and giant cell arteritis in a prospective cohort: EPIC-Norfolk Study.

OBJECTIVES: PMR and GCA are associated with increased risk of vascular disease. However, it remains unclear whether this relationship is causal or reflects a common underlying propensity. The aim of this study was to identify whether known cardiovascular risk factors increase the risk of PMR and GCA. METHODS: Clinical records were examined using key word searches to identify cases of PMR and GCA, applying current classification criteria in a population-based cohort. Associations between cardiovascular risk factors and incident PMR and GCA were analysed using Cox proportional hazards. RESULTS: In 315 022 person years of follow-up, there were 395 incident diagnoses of PMR and 118 incident diagnoses of GCA that met the clinical definition. Raised diastolic blood pressure (>90 mmHg) at baseline/recruitment was associated with subsequent incident PMR [hazard ratio=1.35 (95% CI 1.01, 1.80) P=0.045], and ever-smoking was associated with incident GCA [hazard ratio=2.01 (95% CI 1.26, 3.20) P=0.003]. Estimates were similar when the analysis was restricted to individuals whose diagnoses satisfied the current classification criteria sets. CONCLUSION: PMR and GCA shares common risk factors with vascular disease onset, suggesting a common underlying propensity. This may indicate a potential for disease prevention strategies through modifying cardiovascular risk.

A probability score to aid the diagnosis of suspected giant cell arteritis.

OBJECTIVES: We propose a GCA probability score intended to help to risk-stratify patients referred by general practitioners with suspected GCA into those with high probability of GCA versus low probability of GCA. In this pilot study we evaluated the diagnostic accuracy of this proposed scoring system. METHODS: A scoring system was proposed based on clinical experience. Retrospective analysis was conducted from clinical notes of consecutive patients presenting to a Fast Track Pathway clinic between August 2016 and August 2017. The GCA Probability Score was calculated for each patient and receiver operating characteristic (ROC) curve plotted. RESULTS: Of 122 consecutive patients, full data were available for calculation of GCA probability score in all patients except one (excluded from this analysis). The area under the ROC curve was 0.953 (95% confidence interval: 0.911, 0.994). The ROC curve showed an optimal cut point of 9.5 out of a possible score of 32. At this cut-point there was a sensitivity of 95.7% and specificity 86.7%, and 88.4% of cases were correctly classified. CONCLUSIONS: The GCA Probability Score is a promising and feasible tool for risk stratification of patients referred by general practitioners with suspected GCA. In a fast track clinic setting this aids exclusion of GCA in low probability cases and confirmation of disease in high probability disease. Refinement and subsequent external validation of this score is required.

Characteristics of patients with giant cell arteritis who experience visual symptoms.

Permanent vision loss is one of the most serious complications of giant cell arteritis (GCA) and therefore prompt diagnosis is paramount. However, diagnosis of GCA remains challenging due to its frequently non-specific presentation. Our aim was to identify differences in the characteristics of GCA patients with, and without, current visual symptoms. A cross-sectional survey was mailed to patients with a GCA Read code entered in their GP electronic medical record. Responders were categorised as those currently reporting a visual symptom or not. We compared general and GCA-specific characteristics in these two groups. The association of diagnostic delay with subsequent experience of visual symptoms was examined using unadjusted and adjusted linear regression analysis. 318 GCA patients responded to the survey (59.6%). Responders were predominantly female (69.8%), with a mean age of 73.7 years (SD 8.2). 28% reported current visual symptoms. There was no statistically significant difference in the general characteristics between those with and without visual symptoms. Of GCA-specific characteristics, pre-GCA diagnosis of diplopia (p = 0.018), temporary (p ≤ 0.001) or permanent visual problems (p = 0.001) and hoarseness (p = 0.004) were more common among those reporting current visual symptoms. There was no association between the extent of diagnostic delay and reporting of current visual symptoms. Though we found few characteristics to distinguish between GCA patients with or without current visual symptoms, diagnostic delay was not associated with current visual symptoms. Our findings highlighted the continued difficulty for clinicians to identify GCA patients at the highest risk of visual complications.

A large-scale genetic analysis reveals a strong contribution of the HLA class II region to giant cell arteritis susceptibility.

We conducted a large-scale genetic analysis on giant cell arteritis (GCA), a polygenic immune-mediated vasculitis. A case-control cohort, comprising 1,651 case subjects with GCA and 15,306 unrelated control subjects from six different countries of European ancestry, was genotyped by the Immunochip array. We also imputed HLA data with a previously validated imputation method to perform a more comprehensive analysis of this genomic region. The strongest association signals were observed in the HLA region, with rs477515 representing the highest peak (p = 4.05 × 10(-40), OR = 1.73). A multivariate model including class II amino acids of HLA-DRß1 and HLA-DQα1 and one class I amino acid of HLA-B explained most of the HLA association with GCA, consistent with previously reported associations of classical HLA alleles like HLA-DRB1(∗)04. An omnibus test on polymorphic amino acid positions highlighted DRß1 13 (p = 4.08 × 10(-43)) and HLA-DQα1 47 (p = 4.02 × 10(-46)), 56, and 76 (both p = 1.84 × 10(-45)) as relevant positions for disease susceptibility. Outside the HLA region, the most significant loci included PTPN22 (rs2476601, p = 1.73 × 10(-6), OR = 1.38), LRRC32 (rs10160518, p = 4.39 × 10(-6), OR = 1.20), and REL (rs115674477, p = 1.10 × 10(-5), OR = 1.63). Our study provides evidence of a strong contribution of HLA class I and II molecules to susceptibility to GCA. In the non-HLA region, we confirmed a key role for the functional PTPN22 rs2476601 variant and proposed other putative risk loci for GCA involved in Th1, Th17, and Treg cell function.

Diagnostic delay for giant cell arteritis - a systematic review and meta-analysis.

BACKGROUND: Giant cell arteritis (GCA), if untreated, can lead to blindness and stroke. The study's objectives were to (1) determine a new evidence-based benchmark of the extent of diagnostic delay for GCA and (2) examine the role of GCA-specific characteristics on diagnostic delay. METHODS: Medical literature databases were searched from inception to November 2015. Articles were included if reporting a time-period of diagnostic delay between onset of GCA symptoms and diagnosis. Two reviewers assessed the quality of the final articles and extracted data from these. Random-effects meta-analysis was used to pool the mean time-period (95% confidence interval (CI)) between GCA symptom onset and diagnosis, and the delay observed for GCA-specific characteristics. Heterogeneity was assessed by I 2 and by 95% prediction interval (PI). RESULTS: Of 4128 articles initially identified, 16 provided data for meta-analysis. Mean diagnostic delay was 9.0 weeks (95% CI, 6.5 to 11.4) between symptom onset and GCA diagnosis (I 2 = 96.0%; P < 0.001; 95% PI, 0 to 19.2 weeks). Patients with a cranial presentation of GCA received a diagnosis after 7.7 (95% CI, 2.7 to 12.8) weeks (I 2 = 98.4%; P < 0.001; 95% PI, 0 to 27.6 weeks) and those with non-cranial GCA after 17.6 (95% CI, 9.7 to 25.5) weeks (I 2 = 96.6%; P < 0.001; 95% PI, 0 to 46.1 weeks). CONCLUSIONS: The mean delay from symptom onset to GCA diagnosis was 9 weeks, or longer when cranial symptoms were absent. Our research provides an evidence-based benchmark for diagnostic delay of GCA and supports the need for improved public awareness and fast-track diagnostic pathways.