Abstract
Background: Polymyalgia rheumatica (PMR) has a multifaceted onset and course, and making a distinction between true PMR and so-called “polymyalgic syndrome” (that is, similar manifestations caused by different conditions) is far from easy in clinical practice. The existence of subsets within true PMR may further complicate the diagnostic question. Distinguishing PMR subsets from PMR-mimicking conditions does not just carry nomenclature value and speculative significance. Indeed, the correct diagnosis influences treatment, prognosis, epidemiological assessments, and health policies. Objectives: We aimed to (1) ascertain the presence of a definite and peculiar subset/subgroup/cluster of PMR in the scientific literature; (2) describe any possible subset/cluster/subgroup of PMR identified in at least two different studies. Methods: We performed a non-systematic (PRISMA protocol not followed) literature search on Embase and Medline (OVID interface). The following search terms were used: polymyalgia rheumatica, subset, cluster, subgroup, subclinical giant cell arteritis, mimicking conditions, polymyalgia rheumatica-like conditions, immunotherapy, checkpoint inhibitor, acute-phase reactants or acute-phase proteins, vaccination, infection, and calcium pyrophosphate deposition disease or chondrocalcinosis. Each paper’s reference list was scanned for additional publications meeting this study’s aim. Abstracts submitted at conferences or from non-peer-reviewed sources were not included. Results: The initial search yielded 2492 papers, of which 2389 articles were excluded based on title and abstract screening. A total of 103 articles underwent a full-length review, and 84 of them were finally assessed for eligibility. A total of seven large subsets of PMR could be identified: (1) PMR with normal acute-phase reactants; (2) PMR with an infection trigger; (3) PMR with a vaccination trigger; (4) PMR with subclinical giant cell arteritis (GCA); (5) PMR and calcium pyrophosphate deposition disease (CPPD); (6) PMR following immune checkpoint inhibitor (ICI) therapy; (7) PMR with peculiar clinical clusters (based on clinical or statistic clustering methods). Conclusions: PMR with normal baseline acute-phase reactants and PMR with an infection or a vaccination trigger could be categorized as subsets of disease. PMR with subclinical GCA and most cases of PMR/CPPD should be categorized as mimickers. Finally, further studies are required to better categorize some peculiar clinical subsets emerging from cluster analyses, and ICI-induced PMR.
1. Introduction
Polymyalgia rheumatica (PMR) is a common condition in the elderly, characterized by inflammation of the shoulders, neck, and pelvic girdle, often associated with systemic manifestations such as low-grade fever, weight and appetite loss, general malaise, and sleep disorders [1]. Diagnosis is clinical, but imaging tools like magnetic resonance imaging (MRI) and 18F-labeled fluorodeoxyglucose-positron emission tomography-computed tomography (18F-FDG PET-CT) have recently gained growing importance in characterizing this condition [2,3], whereas ultrasonography (US) has been included in 2012 ACR/EULAR provisional classification criteria [4]. These criteria were designed to discriminate between patients with PMR and those with PMR- mimicking conditions and are not meant for diagnostic purposes. To date, other imaging tools are still awaiting inclusion in validated diagnostic or classification criteria. On the other hand, some diagnostic criteria have been proposed, with the highest sensitivity (89%) for Bird et al.’s criteria [5]. Although there are validated diagnostic and classification criteria some investigators use local protocols.
At present, no laboratory test ha specificity for PMR diagnosis. Acute-phase reactants (APRs) such as erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) are usually raised at the onset of disease, but the diagnosis of PMR has been described even with normal ESR and CRP [6,7,8]. Alternative biomarkers—such as plasma fibrinogen or interleukin-6 (IL-6) serum concentrations—have been proposed. However, their usefulness and feasibility in everyday clinical practice are still awaiting confirmation in large case series [8]. Moreover, no definite clinical, laboratory or imaging findings can predict prognosis, different clinical courses of PMR [9,10] or the risk of disease relapse [11,12,13].
Therapy relies on glucocorticoids (GCs), which usually lead to a rapid reduction in both pain and stiffness, with progressive normalization of APRs. Nevertheless, PMR is associated with significant morbidity related to long-term GC side effects [14]. Moreover, relapses occur in up to half of PMR patients in GC standard therapy [12,13].
Because of the lack of specific diagnostic tests, PMR diagnosis requires the exclusion of other conditions with similar presentations, commonly defined as PMR-like conditions or PMR-mimicking diseases. Differential diagnosis is far from easy. Some patients with PMR-mimicking conditions can have a fast but transitory response to systemic GC. Changes in final diagnosis have been experienced in about half of patients with initial manifestations of PMR; in most cases, their diagnosis has been changed to chronic arthritis [15,16,17,18,19]. In at least 20% of patients, PMR can be associated with subclinical giant cell arteritis (GCA) [20,21,22], at onset or in the long-term. Moreover, several studies have reported an association of PMR with previous infections, vaccinations, or cancer treatment with immune checkpoint inhibitor (ICI) drugs, where differences with idiopathic PMR are anything but clear [23,24,25]. In addition, some PMR patients can experience a late diagnostic shift when subject to in-depth imaging [26,27,28].
Because of the disease’s multifaceted onset and course, making a distinction between true PMR and so-called “Polymyalgic Syndrome” (that is, similar manifestations caused by different diseases/conditions/disorders) is far from easy in clinical practice [18,19,29,30]. The existence of subsets within true PMR may further complicate the diagnostic question. In other words, does the patient suffer from a subset of true PMR or a PMR-mimicking disease?
Definitions of what a subset (or subgroup or cluster) of true PMR is and what a PMR-mimicking condition is are proposed by the authors after a discussion is held and a consensus is reached:
- (a)
- Subset or subgroup or cluster of true PMR: Patients with diagnosis of a PMR, fulfilling a set of diagnostic or classification criteria, and therefore having peculiar clinical and/or laboratory and/or imaging and/or outcome findings. The possibility that diagnosis was based on local protocols rather than on validated criteria was also accepted. Finally, the peculiar characteristics could also be defined by statistical methods (i.e., cluster analyses).
- (b)
- PMR-mimicking conditions: _Patients initially treated as having PMR who fulfil a validated set of criteria for another nosological entity (illness, disease) within a short or long follow-up.
Given this background, we performed a narrative review with the following as our primary objectives:
- (1)
- To ascertain the presence of a definite and peculiar subset/subgroup/cluster of PMR using wider case study of pure PMR diagnosed in accordance with clinical, diagnostic or classification criteria;
- (2)
- To describe any possible subset/cluster/subgroup of PMR identified in at least two different studies.
2. Materials and Methods
2.1. Search Strategy
On 2 December 2024, one of the authors (Isetta, M) performed a non-systematic (PRISMA protocol not followed) and comprehensive literature search on Embase and Medline (OVID interface). The following search terms were used: polymyalgia rheumatica AND subset OR cluster OR subgroup, subclinical giant cell arteritis, mimicking conditions, polymyalgia rheumatica-like conditions, immunotherapy, checkpoint inhibitor, acute-phase reactants, acute-phase proteins, vaccination, infection, calcium pyrophosphate deposition disease, and chondrocalcinosis—both MESH headings and free texts were searched. Searches were performed regardless of language and time of publication. Our review had no registration number.
Abstracts submitted at conferences and non-peer-reviewed papers were excluded. Additionally, the reference list for each of the selected articles was carefully read to identify any other articles of interest.
2.2. Data Extraction
A single author (Isetta, M) screened all titles of the identified articles against the above criteria, and subsequently, two of the authors (Falsetti, P and Manzo, C) independently screened their abstracts. After this step, data comparisons were conducted to ensure completeness and reliability, and reasons for exclusion were recorded. Where present, differences in opinion were discussed by all authors and resolved by consensus.
Finally, the full texts of all potentially relevant articles were sourced. Specifically, we considered all studies and case reports describing any subset, subgroup or cluster of PMR, and in which this subset/subgroup/cluster was compared with typical PMR (possibly within the same study).
3. Results
3.1. Description of Included Studies
The initial search yielded 2492 papers, of which 2389 articles were excluded based on title and abstract screening. A total of 103 articles underwent a full-length review, and 84 of them were finally assessed for eligibility.
A total of seven large groups of patients with PMR findings could be identified: (1) PMR patients with normal baseline acute-phase reactants (APR); (2) PMR patients with an infection trigger; (3) patients with PMR following vaccination; (4) PMR patients with subclinical giant cell arteritis (subGCA); (5) PMR and calcium pyrophosphate deposition (CPPD) disease patients; (6) patients with PMR following immune checkpoint inhibitor (ICI) therapy; (7) PMR patients with peculiar clinical subsets (possibly based on statistic clustering methods).
We resume each subset in both a different paragraph and table.
3.2. PMR with Normal Baseline Acute-Phase Reactants (APRs)
Three retrospective studies extensively assessed the characteristics of PMR patients without elevated baseline ESR and CRP (Table 1) [6,7,31]. In addition, isolated reports were present in two other articles. Specifically, Norwegian clinicians found both normal ESR and normal CRP in 1.2% of 178 PMR patients [32]. Additionally, only 1 patient amongst 177 had normal ESR and normal CRP in a prospective follow-up study conducted in two Italian secondary referral centers of rheumatology [33]. No alternative diagnosis to PMR was possible in all these reports.
Table 1.
Polymyalgia rheumatica with normal baseline acute-phase reactants.
Significantly different percentages of PMR patients with normal baseline ESR and CRP concentrations were reported in the studies listed in Table 1. Specifically, Manzo et al. [7] reported a very low percentage (1.52%) of patients compared to the percentages reported by Marsman et al. (13.6%) [6] and by Kara et al. (14.8%) [31]. Differences in inclusion and exclusion criteria, and very different follow-up times, could explain these differences. However, all three studies agreed on the need to utilize imaging (US assessment, primarily) as well as measurement of other biomarkers in all patients who have a clinical suspicion of PMR but not raised ESR and CRP, as already proposed in a 2018 editorial article [8]. Moreover, taking together all the data from these three studies, PMR with normal baseline APR should be categorized as a subset with an atypical presentation, milder systemic manifestations and longer average times for correct diagnosis. Specifically, the investigators considered milder systemic symptoms the consequence of a failure to increase IL-6 levels (with the result of normal baseline values of CRP and ESR, and an absence of anemia) [34]. Additionally, normal baseline values of ESR and CRP could in themselves justify the longer average times in correct diagnosis. Noticeably, no case of GCA was diagnosed during follow-ups.
3.3. PMR with Infection Trigger
Several infectious agents have been held responsible for PMR over time. Recently, reports on cases of PMR following COVID-19 disease have revived the role of infection as an etiological or triggering factor. However, no clear-cut association has yet been identified.
The possibility that PMR following infective triggers may be a different subset of disease has been discussed in the published literature (Table 2) [23,35,36]. Specifically, in a 2020 Italian retrospective study, three patients reported upper respiratory tract infection, five reported seasonal influenza, and one reported lower respiratory tract infection (pneumonia) before the onset of PMR. A correlation between infective triggers and higher CRP at diagnosis, faster response to therapy, and milder shoulder synovitis was found in these patients. No cases of GCA were identified during follow-up. According to the authors of this study, PMR triggered by infection could constitute a subset of disease. To the best of our knowledge, this is the only study reporting the possibility that PMR following infections can be considered a subset of disease [23].
Table 2.
Polymyalgia rheumatica with infection trigger.
Another Italian observational study was carried out on cases of inflammatory rheumatic diseases (IRDs) with an onset after SARS-CoV-2 infection or COVID-19 vaccine administration. PMR was diagnosed in 28/122 patients (22.9%) in the post-SARS-CoV-2 cohort. Of these 28 PMR patients, 1 was below 50 years of age. Concurrent GCA was excluded based on clinical features. GCs were effective in 100% of PMR patients. The data provided by the authors of this study, however, did not allow them to determine whether or not PMR following SARS-CoV-2 infection was a subset of disease [36].
More recently, a narrative review concluded that all data available in the published literature on the possible existence of a subset of PMR following infections are poorly assessable [37].
3.4. PMR Following Vaccination
Our literature search retrieved many case reports or case series of PMR following vaccination. Recently, reports based on pharmacovigilance databases developed after the COVID-19 pandemic and subsequent vaccination campaigns have been published. However, pharmacovigilance databases offer generic data about long-term outcomes.
In all the articles listed in Table 3 [23,36,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52], no changes in diagnosis or suggestions for mimicking conditions are reported. Generally speaking, scant data are available on the characteristics of PMR patients with post-vaccine onset with respect to idiopathic cases, and no significant differences in both presentation and outcome can be discerned among that different types of vaccines causing PMR. Many of the included articles did not show any clinical, definite subset of post-vaccinal-onset PMR [41,42,43,45,46,49]. Nevertheless, post-vaccine onset of PMR was more frequently described in females [45,47]; one study highlighted a mean age slightly inferior to that for idiopathic PMR [36], and French investigators reported on a self-limiting course in post-influenza-vaccination PMR [40].
Table 3.
Polymyalgia rheumatica following vaccination.
On the other hand, some studies suggested that post-vaccine PMR could be a subset of disease, characterized by better outcomes, with a shorter course of the disease [23,47,51], lower relapse rates [47,51], and lower GC cumulative dosages when compared to idiopathic PMR [48,51]. In addition, a prevalent, inflammatory involvement of the pelvic girdle on imaging was reported in two of these studies [23,48].
Lastly, all the studies listed in Table 3 include no suggestions for mimicking conditions, except for very few studies in which autoimmune/inflammatory syndrome induced by adjuvants (ASIA) is suspected [38,39].
3.5. PMR with Subclinical GCA (subGCA)
PMR with subGCA at onset has been described in several studies, with different modalities of diagnosing GCA [20,21,22]. In the last decade of the previous century, temporal artery biopsy (TAB) and clinical diagnosis of GCA were prevalent, whereas in recent years, PET/CT and CDUS have been the most commonly used technologies for the diagnosis of subGCA. Recently, classification criteria proposed for GCA [53] include vascular CDUS, among imaging criteria. The technologic improvements in imaging diagnostic tools included increased sensitivity and consequently produced a progressive increase in cases in which subGCA was recognized. In fact, subGCA frequency in patients with PMR rose from 2–8% in the oldest studies to 20–27% in a more recent meta-analysis. Moreover, these percentages increased to up to 66% when an in-depth imaging study (PET/CT) was applied to PMR that was resistant to therapy or relapsing [22,54,55,56].
The majority of the studies listed in Table 4 agreed on a more severe course and prognosis of PMR with subGCA, finally requiring more aggressive and/or prolonged therapy.
An older age at the time of PMR diagnosis was more frequently reported in the sub GCA group in various studies [57,58,59,60,61] except one [21]. Similarly, the majority of studies reported a significant difference in genders in patients with subGCA, with a prevalence of females [54,59,62,63,64,65]. Characteristically, all patients with PMR and late-onset GCA were females in one study [63].
Higher levels of ESR and/or CRP concentrations at onset [21,55,57,62,65,66,67,68], thrombocytosis [62,64], lower hemoglobin [62,64] and a more severe course [20,58,62,63,69] were common findings in many studies.
Differences in clinical presentation were reported in only a few studies. In particular, a recurrent clinical characteristic of PMR with subGCA could be a higher frequency of inflammatory low back pain or pelvic girdle inflammatory pain [21,60,61,64,66].
In the conclusions of various studies, the authors did not make a uniform judgement on the question of if PMR with subGCA could be a more severe subset of PMR disease in the spectrum of PMR/GCA diseases, or a more definite different diagnosis of LVV. However, PMR patients with subGCA usually had a more severe and relapsing course, so they required more aggressive and/or prolonged therapy in almost all of the studies [20,21,58,59,62,63,69].
Table 4.
Polymyalgia rheumatica with subclinical giant cell arteritis.
Table 4.
Polymyalgia rheumatica with subclinical giant cell arteritis.
| Reference | Study Design | Study Sample (Peculiar PMR Patients/Total Sample) | Diagnosis of PMR | Length of Follow-Up | Imaging | Presence of Definition of Subset/Subgroup/Cluster | Significant Characteristics of Subset/Subgroup/Cluster | Suggested PMR-like Condition/Other Nosologic Entity |
|---|---|---|---|---|---|---|---|---|
| Gonzalez-Gay et al. [62] | monocentric retrospective | 45 PMR with GCA in TAB vs. 117 pure PMR | ACR criteria for GCA | TAB | yes: PMR with subclinical GCA in TAB | pMR with subclinical GCA: predominantly women, longer disease duration, higher inflammation, PLT, constitutional symptoms, lower Hb, more severe course | no, but different prognosis | |
| Blockmans et al. [54] | monocentric retrospective | 69 PMR 25 GCA or PMR 12 TAB-PMR | Hunder and Healey criteria | 2 y | 18F-FDG PET-CT and TAB | PMR with subclinical LVV | predominantly females, no differences in inflammatory markers and age, | yes, PMR as an LVV |
| Schmidt et al. [57] | monocentric prospective | 102 pure active PMR 8% GCA | Bird and 1990 ACR GCA criteria | na | CDUS e TAB | PMR with subclinical GCA on CDUS | older, higher ESR | different diagnosis and treatment |
| Gonzalez-Gay et al. [58] | 89 severe PMR 8 (9%) subclinical GCA TAB 2% in overall PMR | na | 2 y | TAB | yes: severe PMR ESR > 80, constitutional symptoms | older, more severe course | probably different conditions, different therapies (GC dose) and different courses | |
| Cantini et al. [69] | monocentric retrospective | 76 pure PMR 12/76 subGCA | Healey criteria | 6 y | TAB | yes: subclinical GCA TAB | more severe course and cranial symptoms | no definitive conclusions, common genetic background |
| Cimmino et al. [55] | case series | 8 steroid-resistant PMR 3/8 LV-GCA | na | 64 months ±61.4 | 18F-FDG PET-CT and TAB | subclinical GCA: FDG uptake ≥2 in any vessel | subclinical LV-GCA: more frequent in females, higher CRP (146 vs. 44) and ESR (103 vs. 65) | possible different diagnosis, suggestion to treat with steroid-sparing drugs as GCA |
| Narvaez et al. [63] | monocentric retrospective | 18 PMR (11%) with late GCA | Healey and 1990 ACR GCA criteria | 3 m–4.5 y (mean 7 mo) | TAB | PMR with late GCA | all females, ischemic symptoms, more severe course | no, high-risk and not benign PMR subset |
| Lavado-Perez et al. [56] | monocentric prospective | 40 consecutive atypical PMR 26 (65%) subclinical LVV | na | na | 18F-FDG PET-CT | atypical PMR (lack of treatment response) | no difference between group LVV and no LVV | yes, diagnosis of LVV |
| do et al. [70] | monocentric retrospective | 54 PMR 4 subGCA (7.4%) | EULAR ACR criteria | na | 18F-FDG PET-CT | suclinical GCA in 18F-FDG PET-CT | na | yes, suggestion for different diagnosis |
| Liozon et al. [59] | multicentric retrospective | 67 PMR late GCA 65 pure PMR 130 pure GCA | GCA: ACR 1990 criteria PMR: clinical diagnosis and follow-up | 38.5 months (range 3–132) | 18F-FDG PET-CT, TAB, CT or US in selected cases | yes: subset of PMR with late development of GCA | PMR with late GCA: (after median 17 months), more frequent in females, older, subclinical aortitis (OR 6.42), fewer headache and fever | yes, possible subclinical GCA (suggestion to treat with steroid-sparing drugs as GCA has high risk for blindness) |
| Prieto-Peña et al. [66] | monocentric prospective | 84 classic PMR; 60.7% subGCA | ACR EULAR criteria | na | 18F-FDG PET-CT | yes: new onset PMR with subclinical LV-GCA | PMR with subclinical GCA: lower limb pain (OR 8.8), pelvic girdle pain (OR 4.9), inflammatory LBP (OR 4.7) | PMR and GCA as a spectrum of the same disease. No specific conclusions |
| van Sleen et al. [67] | monocentric prospective | 39 pure PMR 10 PMR GCA | Chuang criteria | 46 mo (0–76) 34 mo (3–69) | 18F-FDG PET-CT and TAB | PMR with concurrent GCA at diagnosis | PMR GCA: higher ESR, angiopoietin-2 | no, subset of PMR with unfavorable prognosis, requiring DMARD at onset |
| Hemmig et al. [64] | review |
| various criteria | 18F-FDG PET-CT | yes: new-onset PMR with subclinical GCA | PMR with subclinical GCA: inflammatory back pain (OR 2.73 and no lower limb pain (OR 2.35), in females (OR 2.31), with weight loss (1.83), fever (OR 1.83) thrombocytosis (OR 1.51); reduced OR (0.80) for higher hemoglobin levels | PMR and GCA as being on aspectrum of the same disease; no specific conclusions | |
| Camellino et al. [71] | prospective | 84 PMR 42 LVV subclinical (50%) | bird | na | 18F-FDG PET-CT | subclinical LVV in pure PMR | no clinical predictor of subclinical LVV | PMR and GCA as spectrum of the same disease |
| Nielsen et al. [22] | systematic review and meta-analysis | PMR with subGCA 6–66% point-prevalence 22% | various | |||||
| Colaci et al. [65] | retrospective monocentric | 17/80 | ACR/EULAR criteria | at least 1 year | 18F-FDG PET/CT | yes: PMR patients who underwent 18F-FDG-PET/CT because of a persistent increase in acute-phase reactants besides the steroid therapy | more frequent in females, higher CRP and ESR, higher grades of articular and periarticular inflammation (suggesting chronic arthritis), subclinical GCA in about a third of patients | Yes |
| Manzo et al. [68] | retrospective single-centre | 143 PMR 23/143 (16.1%) subGCA | ACR/EULAR criteria | na | US and CDUS | yes: patients with halo signs in at least one examined artery were considered to have subclinical GCA | PMR with subclinical GCA had shorter (<45 min) morning stiffness, higher ESR and CRP. | no |
| Burg et al. [21] | prospective monocentric | 60 PMR 28/60 GCA/PMR | ACR/EULAR criteria and ACR 1990 classification criteria for GCA | 6 months | US and CDUS | yes: patients with halo signs in at least one examined artery were considered to have subclinical GCA. | PMR with subclinical GCA (GCA/PMR = 46%): younger (69 vs. 74 y), shorter disease duration (10 vs. 16 w), higher CRP (cutoff 26.5 mg/dL), lower frequencies of effusions in shoulder and hips, but higher frequencies in hips. | yes: PMR patients with subclinical GCA were treated as having GCA |
| Hemmig et al. [72] | retrospective | 49/311 GCA had prior PMR (mean 30.5 months before) | ACR 1990 GCA criteria | 2006–2021 | CDUS | 51% of prior PMR patients had LVV, and lower ESR and cranial symptoms 44.9% received 9.5 mg GC (diagnosis PMR > 30 months before!) | possible different diagnoses, suggestion to treat with steroid-sparing drugs for GCA with LVV phenotype | |
| De Miguel et al. [60] | Prospective multicentric | 79/346 | ACR/EULAR criteria | US and CDUS | Yes: Patients with halo signs in at least one examined artery were considered to have subclinical GCA. | PMR with subclinical GCA: older, longer morning stiffness, more frequently reported hip pain | No | |
| De Miguel et al. [20] | Prospective multicentric | 50/150 | ACR/EULAR criteria | 2 years | US and CDUS | Yes: Patients with halo signs in at least one examined artery were considered to have subclinical GCA | PMR with subclinical GCA had higher number of relapses during follow-up, especially when treated with lower starting doses of GC | possible (suggestion to treat as GCA) |
| Moreel et al. [73] | retrospective monocentric | 337 PMR 31/337 (9%) subGCA | 12 months | 18F-FDG PET-CT | subclinical GCA: FDG uptake ≥2 in any vessel | PMR with subclinical GCA: higher doses GC in first 12 months, no differences in relapse rate and duration GC | GPSD (suggestion for possible different outcomes) | |
| Cowley et al. [61] | review and meta-analysis of two studies [20,21] | 107 PMR/subGCA 299 pure PMR | ACR/EULAR and 1990 ACR GCA criteria | max 2 yy | CDUS/US | yes: patients with halo signs in at least one examined artery were considered to have subclinical GCA | older age at the time of PMR diagnosis and higher incidence of hip girdle symptoms were more frequently reported in the subclinical GCA group | possible: the medium- term clinical outcome of subclinical GCA in PMR with a more severe phenotype was an increased rate of relapse and a higher GC and DMARDs; those who relapse on higher GC doses (≥10 mg) with subclinical GCA should be gconsidered for early DMARD |
PMR = polymyalgia rheumatica, GCA = giant cell arteritis, ACR/EULAR = European League Against Rheumatism/American College of Rheumatology, US = ultrasound, CDUS = color doppler ultrasound, GC = glucocorticoids, ESR = erythro-sedimentation rate, CRP = C-reactive protein, COVID-19 = coronavirus disease 2019. MRI = magnetic resonance imaging, 18F-FDG PET-CT = 18F-labeled fluorodeoxyglucose-positron emission tomography-computed tomography, TAB = temporal artery biopsy, US = ultrasound, GC = glucocorticoids, na = not assessed, OR = odds ratio, LVV = large-vessel vasculitis, LBP = low back pain, GPSD = GCA/PMR spectrum disease; subGCA = subclinical giant cell arteritis.
3.6. PMR with CPPD
The first description of CPPD in PMR patients by Dieppe [74] suggested either a chance association for the co-existence of the two pathologies or that the steroid treatment prescribed to patients with PMR features might predispose them to the development of chondrocalcinosis. All the studies reporting an association between PMR and CPPD (and/or chondrocalcinosis) are listed in Table 5 [17,18,19,74,75,76,77,78,79,80,81,82,83].
Table 5.
Polymyalgia rheumatica and calcium pyrophosphate deposition disease.
A few studies report the concurrent presence of CPPD (and/or chondrocalcinosis) in cohorts of patients with definite pure PMR [18,19,20,74,76,80,82,83]. It is noteworthy that only studies with an extensive use of imaging (particularly CR and US) described this subset, whereas studies with only clinical observations failed to demonstrate any significant presence of such association [15,84].
Several case report and case series describe so-called “crowned dens syndrome” (atlo-axial involvement of CPPD with calcification of the transverse ligament of the atlas) as a PMR mimicker [75,77,78,79,81].
All the more recent cohort studies agreed to propose a PMR/CPPD subset with recurrent characteristics with respect to pure PMR: older females, with lower levels of inflammatory markers at onset, a higher frequency of peripheral arthritis, lower exudation on the bursa sites of shoulders, and a presence of diffuse and typical deposits suggestive for chondrocalcinosis on imaging [17,18,19,76,80]. All the studies suggest that this subset usually requires shorter steroid therapy. One study also suggests a good response only to NSAID in PMR with concurrent CPPD [80]. Detection of CPPD in patients with suspected PMR seems relatively frequent, ranging between 8% and 48%. All the studies substantially agree on considering the subset PMR/CPPD as a different nosologic entity with respect to pure PMR, but diagnostic criteria for CPPD largely differ among the studies (conventional radiography or US evidence of CC, SFA, or not specified) [17,18,19,74,75,76,77,78,79,80,81,82,83].
3.7. PMR Following Immunotherapy with Immune Checkpoint Inhibitor (ICI) Drugs
All the studies reporting a diagnosis of PMR following immunotherapy with ICIs (ICI-PMR) and the main differences between ICI-PMR and pure, primary PMR are listed in Table 6 [25,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99]. The relationship between immunotherapy with ICIs and PMR is still debated [100,101] and Three articles should be more detailed to better understand the topic [25,94,99].
Table 6.
Polymyalgia rheumatica following immunotherapy with immune checkpoint inhibitor drugs.
In 2022, de Fremont et al. compared 14 ICI-PMR with 43 primary PMR patients and pointed out a high male-to-female ratio (6:1) and a great incidence of peripheral arthritis (28%) in the ICI-PMR cohort. In addition, about a quarter of ICI-PMR patients required DMARDs (methotrexate and tocilizumab, primarily) to effectively manage disease activity [94].
More recently, Vermeulen et al., comparing 15 patients with ICI-PMR against 37 patients with primary PMR, found other relevant differences between ICI-induced PMR and primary PMR patients [99]. Specifically, ICI-PMR patients presented the following: (1) milder clinical manifestations; (2) lower acute-phase reactant (APR) values; (3) less likely fulfilment of the 2012 EULAR/ACR classification criteria; (4) lower inflammation at 18F-FDG-PET/CT, (5) lower GC dosages, in comparison with those of patients with primary PMR.
Finally, based on an analysis of 38 studies, Hysa et al. identified 314 cases of ICI -PMR [25]. Interestingly, they found great variability in the PMR onset range (from one day to 53 months) after the initiation of ICI treatment, and in manifestations and outcomes. Specifically, APR values were in their normal ranges in some patients: in these patients, imaging—mainly via US and PET/CT scans—provided valuable insights for the correct final diagnosis. Many patients had a better clinical response to GCs, and yet 20% required additional DMARDs to manage their disease activity. Finally, many ICI-PMR patients experienced fewer relapses, with a rate of approximately 1.4%, which is significantly lower than the relapse rate reported in primary PMR.
3.8. PMR with Peculiar Clinical Subsets (From Clustering Methods or Clinical Observations)
All the studies reporting peculiar PMR subsets (derived from a clustering methodology or clinical observations) are listed in Table 7 [9,19,23,71,102,103,104,105,106,107].
Table 7.
Polymyalgia rheumatica with peculiar clinical subsets.
According to our literature search, only three studies [9,19,107] defined peculiar outcome subsets of PMR by cluster analysis based on the continuous variables available at the onset of the disease.
Specifically, Hayashi et al. described three clusters: one with severe inflammation and a worse outcome; another with lesser systemic and articular inflammation, with persistent PMR diagnosis and only GC; and the last with an arthritic evolution [106]. In a study by Muller et al., similar patterns recurred: a cluster with a higher clinical severity and poorer outcome; a cluster of older male patients with longer-lasting stiffness and persistent PMR diagnosis; a cluster with a possible diagnostic shift [9]. Lastly, Conticini et al. described a cluster of older male patients, with typical shoulder symptoms and lower systemic and articular inflammation, who had a persistent PMR diagnosis and GC therapy that lasted longer [19]. In other words, the subset characterized by the male sex, advanced age, longer-lasting stiffness, lower systemic and articular inflammation, and typical shoulder symptoms seemed to be better associated with persistent PMR diagnosis in the long term. In the studies where detailed US and/or MRI imaging was available, this subset of PMR patients showed lower joint synovitis in the shoulder, but higher extra- and periarticular pattern of inflammation in the shoulder and hip [19,23,71,105,106,107].
On the other hand, observations of a subset of younger female patients characterized by higher inflammation, more frequent peripheral synovitis, worse responses to GC and a need to use DMARDs were recurrent in various studies [9,71,103,105,106]. These patients were frequently diagnosed late as having subclinical GCA or chronic arthritis. Consequently, these characteristics should be regarded as a warning signal for a different diagnosis.
4. Discussion
Our literature search highlighted significant heterogeneity in the modes of PMR diagnosis and classification. Despite the validated diagnostic or classification criteria, some researchers used local protocols (for example: [6,31,41,46]) or did not report on how the PMR diagnosis was made ([47,48,49,56,74,75] among these).
We chose to analyze all the peer-reviewed studies in which a subgroup was described, independently from the diagnostic modalities. This approach could be useful to develop an initial idea of the heterogeneity of PMR, especially in diagnostic modalities.
PMR is estimated to be one of the most common inflammatory rheumatic diseases in the elderly. Nevertheless, its recognition is not always straightforward in everyday clinical practice. To determine if patients suffer from true PMR or mimicking conditions has significant consequences: for example, in patients with PMR-mimicking conditions, it is mandatory to treat the underlying disease. The same applies to prognosis. On the other hand, the PMR subset/subgroup/cluster is to be treated in accordance with existing PMR recommendations, although it may have atypical manifestations and a shorter course.
Nevertheless, only a few studies documented features that would warrant the diagnosis of a subset of the disease, at least in accordance with our entry definitions. This is certainly true for PMR with normal baseline APRs, as all the analyzed studies agree on excluding an alternative diagnosis [6,7,31].
With regards to PMR following infections, and PMR following vaccines, available data point in the direction of PMR subsets [23,47,48,51], except for very few studies in which ASIA syndrome is suspected [38,39]. However, the majority of studies listed in Table 2 and Table 3 are within small case series and—consequently—should be investigated in further ad hoc studies.
The relationship between immunotherapy with ICIs and PMR is still lacking a definite framework [100]. To date, many researchers have argued that ICI-PMR is a PMR-mimicking condition. However, the possibility that ICI-PMR can be a subset of disease cannot be categorically excluded. As a matter of fact, to date, ICI-PMR has not been described in ICI patients aged under 50 years, an age below which the diagnosis of primary PMR is very questionable, according to all the published and validated diagnostic and/or classification criteria. In addition, several cohort studies of ICI-treated patients agree that the incidence of ICI-PMR is up to 1%, an incidence rate much higher than the estimated incidence rate (0.1%/year) for primary PMR in age-appropriate populations. This is likely to be an underestimation if we accept the likelihood of underdiagnosis of PMR by oncologists. Finally, it is true that some ICI-PMR patients may have a self-limiting and monophasic course persisting for a far shorter duration than primary PMR. However, it is also possible that patients with ICI-PMR may have a chronic course similar to that of primary PMR [101].
To date, primary PMR is considered a macrophage-focused pathology. On the other hand, ICIs, by blocking checkpoint molecules such as CTLA -4, PD -1, and PD -L1, disturb the equilibrium of immune tolerance, possibly triggering an unregulated T-cell attack on self-antigens [108,109]. Given this background, primary PMR and ICI-PMR should be considered different diseases. However, the pathogenic path does not necessarily have to be dichotomous. Indeed, it could be hypothesized that in ICI-PMR, the first trigger is represented by an antigenic stimulus (potentially activated by the primary or metastatic tumor mass) recognized by the antigen-presenting macrophages. Subsequent activation of T-lymphocytes induced by ICIs could favor their infiltration in the anatomical sites where PMR starts [109].
Without a doubt, the lack of a validated definition of ICI-PMR can cause confusion in the categorization of this entity. Moreover, another methodological grey area could be the modality for assessing ICI-PMR as an adverse drug reaction (ADR). Specifically, applications of validated scales such as Naranjo’s scale for the identification of ICI-PMR as an ADR are still lacking in the published literature. Clinical judgement is still an unappealable criterion, with all the limitations that this may entail [110]. As recently confirmed by a EULAR/ACR task force, using the Naranjo scale may help to assess the causal link between rheumatologic immune-related adverse events (IRAEs) and ICI therapy [111].
Notably, no cases of GCA were diagnosed during the follow-ups of patients with ICI-PMR. Some authors reported on the low expression of some checkpoint inhibitors (specifically, PD-1 and PD-L1) within the temporal arteries of patients with GCA [112]. This apparent contradiction is still awaiting a convincing explanation.
Similarly, the relationship between PMR and CPPD disease is still being discussed. The study by Pego-Reigosa in 2005 proposed to include CPPD among the rheumatic diseases with which PMR can be confused. The authors suggested the so-called “pseudo-PMR pattern” of CPPD, defining a different diagnosis from that of pure PMR [76]. Most studies suggest a more favorable course for this subset of patients [17,18,19,76,80]. However, as the prevalence of CPPD increases with age, its random coexistence with PMR is possible, and some authors suggest to not definitively exclude PMR diagnosis despite the presence of chondrocalcinosis on imaging [74,82,113]. In clinical practice, a change in diagnosis from PMR to CPPD should probably depend on discerning if CPPD crystals can be considered responsible for the pathology and related symptoms. In this context, the recent EULAR recommendations on CPPD terminology and diagnosis [114] stated that a definitive diagnosis of CPPD relies on the identification of CPP crystals on SF (positively birefringent intra- or extracellular calcium crystals), whereas inflammatory symptoms and signs with concurrent CC are suggestive but not definitive of acute or chronic CPP crystal arthritis. On the other hand, Filippou and Sirotti suggest that the mere presence of “asymptomatic CPPD” should be regarded as a “preclinical stage of CPPD” or probably “early CPPD” without joint inflammation that permits an SFA, but with a typical US appearance on specific joints (at least triangular fibrocartilage of wrists and knees) [115].
Radiographic CC is not highly sensitive or specific, whereas ultrasonography (US) appears more useful for diagnosis [115,116]. Moreover, the recent ACR/EULAR CPPD classification criteria state that both the presence of either crowned dens syndrome or synovial fluid analysis demonstrating CPP crystals in a symptomatic joint is a sufficient criterion for CPPD classification [117]. On the other hand, in other cases with a polyarticular and rhizomelic PMR-like presentation, CPPD diagnosis and classification requires in-depth study of clinical history and imaging [118]. Considering the absence of natural history studies on CPPD, we cannot exclude that “asymptomatic chondrocalcinosis” or “preclinical CPPD” could have its first clinical presentation as a PMR syndrome with prevalent rhizomelic symptoms. At the same time, we have not determined the definite prevalence of axial involvement in asymptomatic CPPD, but it is possible that a milder form of CDS could be responsible for neck and shoulder stiffness in this peculiar subset.
Independently from the debate on if the co-existence of CPPD could be pathogenetic in polymyalgia syndrome, an interesting aspect should be underlined regarding the prognosis and clinical course of patients with PMR and CPPD. In fact, in all the studies on this topic, and in the long-term study by Conticini et al. [19], no patient with PMR/CPPD had a late diagnosis of GCA (at least within the follow-up window).
This remark leads to the final point of discussion: GCA was never diagnosed during the follow-ups of the patients falling into the PMR subsets/subgroups/clusters identified in our review. To date, a discussion on the role that triggering factors may have in the so-called “spectrum PMR/GCA disease” is highly speculative [119]. Should the working concept of the spectrum of PMR/GCA disease be applied only to classical PMR and not to subsets of PMR? What emerged from our literature search seems to be moving in this direction. In addition, when a patient first diagnosed or categorized as PMR also shows evidence of having subGCA, this patient should be managed according to the most severe condition. Consequently, a final diagnosis of GCA should be made and the case categorized as a PMR-mimicking condition.
Our literature search has limitations and strengths. To the best of our knowledge, this is the first review that takes into account all the data present in the published literature in a non-sectoral vision, in order to identify possible PMR subsets/subgroups/clusters and to differentiate them from PMR-mimicking conditions. The heterogeneity of the available data, use of local and not validated protocols, and lack of data on some topics were the significant limitations we found in the published literature.
5. Conclusions
Our narrative review provided an in-depth overview of everything present in the published literature about subsets of PMR and the most common PMR-mimicking conditions.
Recognizing PMR subsets or PMR-mimicking conditions does not just carry nomenclature value and speculative significance. Indeed, it can also have repercussions on epidemiological assessments, health policies, prognosis and therapeutic approach.
According to the entry definitions we proposed, PMR with normal baseline ESR and CRP concentrations, post-infection PMR and PMR following vaccination (with the exception of rare and questionable ASIA syndromes) should be categorized as subsets of disease. PMR/subclinical GCA and most cases of PMR/CPPD should be categorized as mimickers, but adequate and early imaging seems to be mandatory to define these conditions.
Lastly, the question of whether or not ICI-PMR should be categorized as a mimicker or as a subset of the disease is still awaiting a definitive answer., Moreover, further studies are required to better categorize the two clinical subsets emerging from cluster analyses (that is, younger patients/high inflammation and older patients/low inflammation).
Immune–histopathological studies are definitely needed to further enhance our current knowledge on this topic, favoring the more accurate categorization of all patients with PMR.
Finally, PMR was sometimes diagnosed using local protocols, without referring to internationally validated criteria. We hope that this methodological approach will be dismissed in the future, thus allowing for greater comparability among the data.
Author Contributions
Conceptualization, C.M. and P.F.; methodology, C.M., P.F. and M.I.; investigation, C.M., P.F. and M.I.; resources, P.F., C.M., A.C. and M.N.; data curation, C.M., P.F., F.P. and A.C.; writing—original draft, C.M. and P.F.; writing—review and editing, C.M., P.F., C.B. and E.C.; visualization, P.F., C.M. and F.P.; supervision, P.F., C.M. and B.F.; project administration, P.F., B.F. and C.M. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflicts of interest.
References
- Espígol-Frigolé, G.; Dejaco, C.; Mackie, S.L.; Salvarani, C.; Matteson, E.L.; Cid, M.C. Polymyalgia rheumatica. Lancet 2023, 402, 1459–1472. [Google Scholar] [CrossRef]
- Mackie, S.L.; Koduri, G.; Hill, C.L.; Wakefield, R.J.; Hutchings, R.; Loy, C.; Dasgupta, B.; Wyatt, J.C. Accuracy of musculoskeletal imaging for the diagnosis of polymyalgia rheumatica: Systematic review. RMD Open 2015, 1, e000100. [Google Scholar] [CrossRef] [PubMed][Green Version]
- Camellino, D.; Duftner, C.; Dejaco, C. New insights into the role of imaging in polymyalgia rheumatica. Rheumatology 2021, 60, 1016–1033. [Google Scholar] [CrossRef]
- Dasgupta, B.; Cimmino, M.A.; Kremers, H.M.; Schmidt, W.A.; Schirmer, M.; Salvarani, C.; Bachta, A.; Dejaco, C.; Duftner, C.; Jensen, H.S.; et al. 2012 Provisional classification criteria for polymyalgia rheumatica: A European League Against Rheumatism/American College of Rheumatology collaborative initiative. Arthritis Rheum. 2012, 64, 943–954. [Google Scholar] [CrossRef]
- Bird, H.A.; Leeb, B.F.; Montecucco, C.M.; Misiuniene, N.; Nesher, G.; Pai, S.; Pease, C.; Rovensky, J.; Rozman, B. A comparison of the sensitivity of diagnostic criteria for polymyalgia rheumatica. Ann. Rheum. Dis. 2005, 64, 626–629. [Google Scholar] [CrossRef]
- Marsman, D.E.; Broeder, N.D.; Boers, N.; Hoogen, F.H.v.D.; Broeder, A.A.D.; van der Maas, A. Polymyalgia rheumatica patients with and without elevated baseline acute phase reactants: Distinct subgroups of polymyalgia rheumatica? Clin. Exp. Rheumatol. 2021, 39, 32–37. [Google Scholar] [CrossRef]
- Manzo, C.; Milchert, M.; Natale, M.; Brzosko, M. Polymyalgia rheumatica with normal values of both erythrocyte sedimentation rate and C-reactive protein concentration at the time of diagnosis. Rheumatology 2019, 58, 921–923. [Google Scholar] [CrossRef]
- Manzo, C.; Milchert, M. Polymyalgia rheumatica with normal values of both erythrocyte sedimentation rate and C-reactive protein concentration at the time of diagnosis: A four-point guidance. Rheumatology 2018, 56, 1–2. [Google Scholar] [CrossRef]
- Muller, S.; Whittle, R.; Hider, S.L.; Belcher, J.; Helliwell, T.; Morton, C.; Hughes, E.; Lawton, S.A.; Mallen, C.D. Longitudinal clusters of pain and stiffness in polymyalgia rheumatica: 2-year results from the PMR Cohort Study. Rheumatology 2020, 59, 1906–1915. [Google Scholar] [CrossRef] [PubMed]
- Ayano, M.; Arinobu, Y.; Tsukamoto, H.; Ota, S.I.; Misaki, K.; Nishimura, K.; Kimoto, Y.; Mitoma, H.; Akahoshi, M.; Akashi, K.; et al. Shoulder ultrasound and serum lactate dehydrogenase predict inadequate response to glucocorticoid treatment in patients with polymyalgia rheumatica. Rheumatol. Int. 2020, 40, 1101–1109. [Google Scholar] [CrossRef] [PubMed]
- Miceli, M.C.; Zoli, A.; Peluso, G.; Bosello, S.; Gremese, E.; Ferraccioli, G. Baseline shoulder ultrasonography is not a predictive marker of response to glucocorticoids in patients with polymyalgia rheumatica: A 12-month followup study. J. Rheumatol. 2017, 44, 241–247. [Google Scholar] [CrossRef]
- Floris, A.; Piga, M.; Chessa, E.; Congia, M.; Erre, G.L.; Angioni, M.M.; Mathieu, A.; Cauli, A. Long-term glucocorticoid treatment and high relapse rate remain unresolved issues in the real-life management of polymyalgia rheumatica: A systematic literature review and meta-analysis. Clin. Rheumatol. 2022, 41, 19–31. [Google Scholar] [CrossRef] [PubMed]
- Nakamura, H.; Kamada, K.; Tarumi, M.; Tanimura, S.; Shibata, Y.; Horita, T. Gadolinium-enhanced magnetic resonance imaging in shoulders contributes accurate diagnosis and predicting recurrence to patients with polymyalgia rheumatica. Clin. Exp. Rheumatol. 2021, 39, 84–90. [Google Scholar] [CrossRef]
- Gabriel, S.E.; Sunku, J.; Salvarani, C.; O’Fallon, W.M.; Hunder, G.G. Adverse outcomes of antiinflammatory therapy among patients with polymyalgia rheumatica. Arthritis Rheum. 1997, 40, 1873–1878. [Google Scholar] [CrossRef]
- Hutchings, A.; Hollywood, J.; Lamping, D.L.; Pease, C.T.; Chakravarty, K.; Silverman, B.; Choy, E.H.S.; Scott, D.G.; Hazleman, B.L.; Bourke, B.; et al. Clinical outcomes, quality of life, and diagnostic uncertainty in the first year of polymyalgia rheumatica. Arthritis Rheum. 2007, 57, 803–809. [Google Scholar] [CrossRef]
- Pease, C.T.; Haugeberg, G.; Morgan, A.W.; Montague, B.; Hensor, E.M.A.; Bhakta, B.B. Diagnosing late onset rheumatoid arthritis, polymyalgia rheumatica, and temporal arteritis in patients presenting with polymyalgic symptoms. A prospective longterm evaluation. J. Rheumatol. 2005, 32, 1043–1046, Erratum in J. Rheumatol. 2005, 32, 1852. [Google Scholar]
- Ottaviani, S.; Goossens, J.; Demaria, L.; Forien, M.; Palazzo, E.; Dieude, P. Ultrasound shoulder assessment of calcium pyrophosphate disease with suspected polymyalgia rheumatica. Clin. Exp. Rheumatol. 2020, 38, 1170–1175. [Google Scholar]
- Falsetti, P.; Acciai, C.; Volpe, A.; Lenzi, L. Ultrasonography in early assessment of elderly patients with polymyalgic symptoms: A role in predicting diagnostic outcome? Scand. J. Rheumatol. 2021, 40, 57–63. [Google Scholar] [CrossRef]
- Conticini, E.; Falsetti, P.; D’alessandro, M.; Al Khayyat, S.G.; Grazzini, S.; Baldi, C.; Acciai, C.; Gentileschi, S.; D’alessandro, R.; Bellisai, F.; et al. Clinical, laboratory and ultrasonographic findings at baseline predict long-term outcome of polymyalgia rheumatica: A multicentric retrospective study: Polymyalgia rheumatica predicted by ultrasonographic findings polymyalgia rheumatica outcome predicted early by ultrasound. Intern. Emerg. Med. 2023, 18, 1929–1939. [Google Scholar] [CrossRef] [PubMed]
- De Miguel, E.; Karalilova, R.; Macchioni, P.; Ponte, C.; Conticini, E.; Cowley, S.; Tomelleri, A.; Monti, S.; Monjo, I.; Batalov, Z.; et al. Subclinical giant cell arteritis increases the risk of relapse in polymyalgia rheumatica. Ann. Rheum. Dis. 2024, 83, 335–341. [Google Scholar] [CrossRef]
- Burg, L.C.; Karakostas, P.; Behning, C.; Brossart, P.; Kermani, T.A.; Schäfer, V.S. Prevalence and characteristics of giant cell arteritis in patients with newly diagnosed polymyalgia rheumatica—A prospective cohort study. Ther. Adv. Musculoskelet. Dis. 2023, 15, 221149963. [Google Scholar] [CrossRef]
- Nielsen, A.W.; Frølund, L.L.; Våben, C.; Bonde, A.R.; Gormsen, L.C.; de Thurah, A.L.; Hauge, E.-M.; Keller, K.K. Concurrent baseline diagnosis of giant cell arteritis and polymyalgia rheumatica—A systematic review and meta-analysis. Semin. Arthritis Rheum. 2022, 56, 152069. [Google Scholar] [CrossRef]
- Falsetti, P.; Conticini, E.; Acciai, C.; Baldi, C.; Bardelli, M.; Gentileschi, S.; Cantarini, L.; Frediani, B. Polymyalgia rheumatica following infective triggersor vaccinations: A different subset of disease? Rheumatology 2020, 58, 76–80. [Google Scholar] [CrossRef]
- Manzo, C.; Isetta, M. Back to the future: Identification and classification of polymyalgia rheumatica and polymyalgia rheumatica-like syndromes following cancer immunotherapy with checkpoint inhibitors. Rheumatology 2021, 59, 62–63. [Google Scholar] [CrossRef]
- Hysa, E.; Casabella, A.; Gotelli, E.; Campitiello, R.; Schenone, C.; Genova, C.; Tanda, E.T.; Sulli, A.; Smith, V.; Cimmino, M.A.; et al. Polymyalgia rheumatica and giant cell arteritis induced by immune checkpoint inhibitors: A systematic literature review highlighting differences from the idiopathic forms. Autoimmun. Rev. 2024, 23, 103589. [Google Scholar] [CrossRef]
- Owen, C.E.; Nakos, O. Imaging findings in polymyalgia rheumatica. Rheumatology 2025, 64 (Suppl. 1), i59–i63. [Google Scholar] [CrossRef]
- Heras-Recuero, E.; Blázquez-Sánchez, T.; Landaeta-Kancev, L.C.; de Bourio-Allona, M.M.; Torres-Roselló, A.; Rengifo-García, F.; Caraballo-Salazar, C.; Largo, R.; Castañeda, S.; González-Gay, M.Á. Positron Emission Tomography/Computed Tomography in Polymyalgia Rheumatica: When and for What—A Critical Review. Diagnostics 2024, 14, 1539. [Google Scholar] [CrossRef]
- Partington, R.J.; Muller, S.; Helliwell, T.; Mallen, C.D.; Abdul, S.A. Incidence, prevalence and treatment burden of polymyalgia rheumatica in the UK over two decades: A population-based study. Ann. Rheum. Dis. 2018, 77, 1750–1756. [Google Scholar] [CrossRef]
- De Bandt, M. Current diagnosis and treatment of polymyalgia rheumatica. Jt. Bone Spine 2014, 81, 203–208. [Google Scholar] [CrossRef] [PubMed]
- Bond, M.; Dejaco, C. Polymyalgia rheumatica: Crafting the future of a simple (but not easy!) clinical syndrome. Ann. Rheum. Dis. 2024, 83, 271–273. [Google Scholar] [CrossRef]
- Kara, M.; Alp, G.; Koç, A.M. Diagnostic difficulties in polymyalgia rheumatica cases with normal erythrocyte sedimentation rate and C-reactive protein values. Medicine 2023, 102, e35385. [Google Scholar] [CrossRef] [PubMed]
- Myklebust, G.; Gran, J.T. A prospective study of 287 patients with polymyalgia rheumatica and temporal arteritis: Clinical and laboratory manifestations at onset of disease and at the time of diagnosis. Br. J. Rheumatol. 1996, 35, 1161–1168. [Google Scholar] [CrossRef]
- Cantini, F.; Salvarani, C.; Olivieri, I.; Macchioni, L.; Ranzi, A.; Niccoli, L.; Padula, A.; Boiardi, L. Erythrocyte sedimentation rate and C-reactive protein in the evaluation of disease activity and severity in polymyalgia rheumatica: A prospective follow-up study. Semin. Arthritis Rheum. 2000, 30, 17–24. [Google Scholar] [CrossRef]
- Manzo, C.; Milchert, M.; Natale, M.; Brzosko, M. Polymyalgia rheumatica with normal inflammatory indices at the time of diagnosis: Can we just move a step forward? Reumatologia. 2020, 58, 184–186. [Google Scholar] [CrossRef] [PubMed]
- Duarte-Salazar, C.; Vazquez-Meraz, J.E.; Ventura-Ríos, L.; Hernández-Díaz, C.; Arellano-Galindo, J. Polymyalgia Rheumatica Post-SARS-CoV-2 Infection. J. Case Rep. Immunol. 2024, 2024, 662652. [Google Scholar] [CrossRef]
- Ursini, F.; Ruscitti, P.; Addimanda, O.; Foti, R.; Raimondo, V.; Murdaca, G.; Caira, V.; Pigatto, E.; Cuomo, G.; Gullo, A.L.; et al. Inflammatory rheumatic diseases with onset after SARS-CoV-2 infection or COVID-19 vaccination: A report of 267 cases from the COVID-19 and ASD group. RMD Open 2023, 9, e003022. [Google Scholar] [CrossRef]
- Manzo, C.; Isetta, M.; Castagna, A. Infective agents and polymyalgia rheumatica: Key discussion points emerging from a narrative review of published literature. Rheumatology 2024, 62, 360–367. [Google Scholar] [CrossRef]
- Soriano, A.; Verrecchia, E.; Marinaro, A.; Giovinale, M.; Fonnesu, C.; Landolfi, R.; Manna, R. Giant cell arteritis and polymyalgia rheumatica after influenza vaccination: Report of 10 cases and review of the literature. Lupus 2012, 21, 153–157. [Google Scholar] [CrossRef]
- Bassendine, M.F.; Bridge, S.H. Relapse of polymyalgia rheumatica following adjuvanted influenza vaccine: A case-based review. Eur. J. Rheumatol. 2019, 7, 37–40. [Google Scholar] [CrossRef] [PubMed]
- Liozon, E.; Parreau, S.; Filloux, M.; Dumonteil, S.; Gondran, G.; Bezanahary, H.; Ly, K.; Fauchais, A.L. Giant cell arteritis or polymyalgia rheumatica after influenza vaccination: A study of 12 patients and a literature review. Autoimmun. Rev. 2021, 20, 102732. [Google Scholar] [CrossRef] [PubMed]
- Manzo, C.; Natale, M.; Castagna, A. Polymyalgia rheumatica as uncommon adverse event following immunization with COVID-19 vaccine: A case report and review of literature. Aging Med. 2021, 4, 234–238. [Google Scholar] [CrossRef] [PubMed]
- Liozon, E.; Filloux, M.; Parreau, S.; Gondran, G.; Bezanahary, H.; Ly, K.-H.; Fauchais, A.-L. Immune-Mediated Diseases Following COVID-19 Vaccination: Report of a Teaching Hospital-Based Case-Series. J. Clin. Med. 2022, 11, 7484. [Google Scholar] [CrossRef] [PubMed]
- Ottaviani, S.; Juge, P.-A.; Forien, M.; Ebstein, E.; Palazzo, E.; Dieudé, P. Polymyalgia rheumatica following COVID-19 vaccination: A case-series of ten patients. Jt. Bone Spine 2022, 89, 105334. [Google Scholar] [CrossRef]
- Mettler, C.; Jonville-Bera, A.-P.; Grandvuillemin, A.; Treluyer, J.-M.; Terrier, B.; Chouchana, L. Risk of giant cell arteritis and polymyalgia rheumatica following COVID-19 vaccination: A global pharmacovigilance study. Rheumatology 2022, 61, 865–867. [Google Scholar] [CrossRef]
- Rider, L.G.; Parks, C.G.; Wilkerson, J.; Schiffenbauer, A.I.; Kwok, R.K.; Farhadi, P.N.; Nazir, S.; Ritter, R.; Sirotich, E.; Kennedy, K.; et al. Baseline factors associated with self-reported disease flares following COVID-19 vaccination among adults with systemic rheumatic disease: Results from the COVID-19 global rheumatology alliance vaccine survey. Rheumatology 2022, 61, SI143–SI150. [Google Scholar] [CrossRef] [PubMed]
- Carubbi, F.; Alunno, A.; Santilli, J.; Natali, L.; Mancini, B.; Di Gregorio, N.; Del Pinto, R.; Viscido, A.; Grassi, D.; Ferri, C. Immune-mediated inflammatory diseases after anti-SARS-CoV-2 vaccines: New diagnoses and disease flares. RMD Open 2022, 8, e002460. [Google Scholar] [CrossRef]
- Bandinelli, F.; Pagano, M.; Vallecoccia, M.S. Post-COVID-19 and Post-COVID-19 Vaccine Arthritis, Polymyalgia Rheumatica and Horton’s Arteritis: A Single-Center Assessment of Clinical, Serological, Genetic, and Ultrasonographic Biomarkers. J. Clin. Med. 2023, 12, 7563. [Google Scholar] [CrossRef]
- Haruna, K.; Shirota, S.; Nishioka, H. Polymyalgia Rheumatica (PMR) Lacking Shoulder Pain Following COVID-19 Vaccination. Cureus 2023, 15, e34714. [Google Scholar] [CrossRef]
- Furr, T.; Garg, M. Rare Cases of Polymyalgia Rheumatica After Receiving COVID-19 Vaccinations. Cureus 2023, 15, e37782. [Google Scholar] [CrossRef]
- Oliveira, C.P.; Azevedo, S.F.; Vilafanha, C.; Prata, A.R.; Barcelos, A. Polymyalgia Rheumatica After COVID-19 Vaccination: Data from the EudraVigilance Database. Acta Med. Port. 2024, 37, 396–397. [Google Scholar] [CrossRef]
- Jarrot, P.-A.; Mirouse, A.; Ottaviani, S.; Cadiou, S.; Salmon, J.-H.; Liozon, E.; Parreau, S.; Michaud, M.; Terrier, B.; Gavand, P.-E.; et al. Polymyalgia rheumatica and giant cell arteritis following COVID-19 vaccination: Results from a nationwide survey. Hum. Vaccines Immunother. 2024, 20, 2334084. [Google Scholar] [CrossRef]
- Kim, S.; Bea, S.; Choe, S.-A.; Choi, N.-K.; Shin, J.-Y. Autoimmune disorders reported following COVID-19 vaccination: A disproportionality analysis using the WHO database. Eur. J. Clin. Pharmacol. 2024, 80, 445–453. [Google Scholar] [CrossRef]
- Ponte, C.; Grayson, P.C.; Robson, J.C.; Suppiah, R.; Gribbons, K.B.; Judge, A.; Craven, A.; Khalid, S.; Hutchings, A.; A Watts, R.; et al. 2022 American College of Rheumatology/EULAR classification criteria for giant cell arteritis. Ann. Rheum. Dis. 2022, 81, 1647–1653. [Google Scholar] [CrossRef]
- Blockmans, D.; Stroobants, S.; Maes, A.; Mortelmans, L. Positron emission tomography in giant cell arteritis and polymyalgia rheumatica: Evidence for inflammation of the aortic arch. Am. J. Med. 2000, 108, 246–249. [Google Scholar] [CrossRef]
- Cimmino, M.A.; Zampogna, G.; Parodi, M. Is FDG-PET useful in the evaluation of steroid-resistant PMR patients? Rheumatology 2008, 47, 926–927. [Google Scholar] [CrossRef]
- Lavado-Pérez, C.; Martínez-Rodríguez, I.; Martínez-Amador, N.; Banzo, I.; Quirce, R.; Jiménez-Bonilla, J.; De Arcocha-Torres, M.; Bravo-Ferrer, Z.; Jiménez-Alonso, M.; López-Defilló, J.; et al. 18F-FDG PET/CT for the detection of large vessel vasculitis in patients with polymyalgia rheumatica. Rev. Espanola Med. Nucl. Imagen Mol. 2015, 34, 275–281. [Google Scholar] [CrossRef]
- Schmidt, W.A.; Gromnica-Ihle, E. Incidence of temporal arteritis in patients with polymyalgia rheumatica: A prospective study using colour Doppler ultrasonography of the temporal arteries. Rheumatology 2002, 41, 46–52. [Google Scholar] [CrossRef]
- Gonzalez-Gay, M.A. Giant cell arteritis and polymyalgia rheumatica: Two different but often overlapping conditions. Semin. Arthritis Rheum. 2004, 33, 289–293. [Google Scholar] [CrossRef]
- Liozon, E.; de Boysson, H.; Dalmay, F.; Gondran, G.; Bezanahary, H.; Fauchais, A.-L.; Ly, K.-H. Development of Giant Cell Arteritis after Treating Polymyalgia or Peripheral Arthritis: A Retrospective Case-control Study. J. Rheumatol. 2018, 45, 678–685. [Google Scholar] [CrossRef]
- De Miguel, E.; Macchioni, P.; Conticini, E.; Campochiaro, C.; Karalilova, R.; Monti, S.; Ponte, C.; Klinowski, G.; Monjo-Henry, I.; Falsetti, P.; et al. Prevalence and characteristics of subclinical giant cell arteritis in polymyalgia rheumatica. Rheumatology 2024, 63, 158–164. [Google Scholar] [CrossRef]
- Cowley, S.; Harkins, P.; Kirby, C.; Conway, R.; Kane, D.J. Should all patients with polymyalgia rheumatica have a vascular ultrasound assessment? Ann. Rheum. Dis. 2024, 83, 961–964. [Google Scholar] [CrossRef] [PubMed]
- González-Gay, M.A.; García-Porrúa, C.; Vázquez-Caruncho, M. Polymyalgia rheumatica in biopsy proven giant cell arteritis does not constitute a different subset but differs from isolated polymyalgia rheumatica. J. Rheumatol. 1998, 25, 1750–1755, Erratum in J. Rheumatol. 1998, 25, 2483. [Google Scholar] [PubMed]
- Narváez, J.; Estrada, P.; López-Vives, L.; Ricse, M.; Zacarías, A.; Heredia, S.; Gómez-Vaquero, C.; Nolla, J.M. Prevalence of ischemic complications in patients with giant cell arteritis presenting with apparently isolated polymyalgia rheumatica. Semin. Arthritis Rheum. 2015, 45, 328–333. [Google Scholar] [CrossRef]
- Hemmig, A.K.; Gozzoli, D.; Werlen, L.; Ewald, H.; Aschwanden, M.; Blockmans, D.; Brouwer, E.; Buchanan, R.R.; Camellino, D.; Campochiaro, C.; et al. Subclinical giant cell arteritis in new onset polymyalgia rheumatica A systematic review and meta-analysis of individual patient data. Semin. Arthritis Rheum. 2022, 55, 152017. [Google Scholar] [CrossRef] [PubMed]
- Colaci, M.; Dichiara, J.; Aprile, M.L.; Ippolito, M.; Schinocca, C.; Guggino, G.; Malatino, L. Use of 18F-fluorodeoxyglucose positron emission tomography-computed tomography in patients affected by polymyalgia rheumatica and persistent increase of acute phase reactants. Front. Med. 2022, 9, 1042620. [Google Scholar] [CrossRef]
- Prieto-Peña, D.; Martínez-Rodríguez, I.; Loricera, J.; Banzo, I.; Calderón-Goercke, M.; Calvo-Río, V.; González-Vela, C.; Corrales, A.; Castañeda, S.; Blanco, R.; et al. Predictors of positive 18F-FDG PET/CT-scan for large vessel vasculitis in patients with persistent polymyalgia rheumatica. Semin. Arthritis Rheum. 2019, 48, 720–727. [Google Scholar] [CrossRef]
- van Sleen, Y.; Boots, A.M.H.; Abdulahad, W.H.; Bijzet, J.; Sandovici, M.; van der Geest, K.S.M.; Brouwer, E. High angiopoietin-2 levels associate with arterial inflammation and long-term glucocorticoid requirement in polymyalgia rheumatica. Rheumatology 2020, 59, 176–184. [Google Scholar] [CrossRef]
- Manzo, C.; Castagna, A.; Veronese, N.; Isetta, M. Presence of subclinical giant cell arteritis in patients with morning stiffness of duration less than 45 minutes at the time of diagnosis of polymyalgia rheumatica. Rheumatology 2023, 61, 432–438. [Google Scholar] [CrossRef]
- Cantini, F.; Niccoli, L.; Storri, L.; Nannini, C.; Olivieri, I.; Padula, A.; Boiardi, L.; Salvarani, C. Are polymyalgia rheumatica and giant cell arteritis the same disease? Semin. Arthritis Rheum. 2004, 33, 294–301. [Google Scholar] [CrossRef]
- Do, J.G.; Park, J.; Sung, D.H. Characteristics of Korean Patients with Polymyalgia Rheumatica: A Single Locomotive Pain Clinic Cohort Study. J. Korean Med. Sci. 2018, 33, e241. [Google Scholar] [CrossRef]
- Camellino, D.; Paparo, F.; Morbelli, S.D.; Pesce, G.; Bauckneht, M.; Bagnasco, M.; Cutolo, M.; Sambuceti, G.; Cimmino, M.A. Clinical and FDG-PET/CT correlates in patients with polymyalgia rheumatica. Clin. Exp. Rheumatol. 2022, 40, 78–85. [Google Scholar] [CrossRef] [PubMed]
- Hemmig, A.K.; Aschwanden, M.; Berger, C.T.; Kyburz, D.; Mensch, N.; Staub, D.; Stegert, M.; Imfeld, S.; Daikeler, T. Prior polymyalgia rheumatica is associated with sonographic vasculitic changes in newly diagnosed patients with giant cell arteritis. Rheumatology 2024, 63, 1523–1527. [Google Scholar] [CrossRef] [PubMed]
- Moreel, L.; Boeckxstaens, L.; Betrains, A.; Smans, T.; Molenberghs, G.; Van Laere, K.; De Langhe, E.; Vanderschueren, S.; Blockmans, D. Prevalence, characteristics, and outcome of subclinical vasculitis in polymyalgia rheumatica: A retrospective cohort study. Rheumatology 2024, 28, keae208. [Google Scholar] [CrossRef]
- Dieppe, P.; Alexander, G.; Jones, H.; Doherty, M.; Scott, D.; Manhire, A.; Watt, I. Pyrophosphate arthropathy: A clinical and radiological study of 105 cases. Ann. Rheum. Dis. 1982, 41, 371–376. [Google Scholar] [CrossRef] [PubMed]
- Aouba, A.; Vuillemin-Bodaghi, V.; Mutschler, C.; De Bandt, M. Crowned dens syndrome misdiagnosed as polymyalgia rheumatica, giant cell arteritis, meningitis or spondylitis: An analysis of eight cases. Rheumatology 2004, 43, 1508–1512. [Google Scholar] [CrossRef]
- Pego-Reigosa, J.M.; Rodriguez-Rodriguez, M.; Hurtado-Hernandez, Z.; Gromaz-Martin, J.; Taboas-Rodriguez, D.; Millan-Cachinero, C.; Hernandez-Rodriguez, I.; Gonzalez-Gay, M.A. Calcium pyrophosphate deposition disease mimicking polymyalgia rheumatica: A prospective followup study of predictive factors for this condition in patients presenting with polymyalgia symptoms. Arthritis Rheum. 2005, 53, 931–938. [Google Scholar] [CrossRef]
- Salaffi, F.; Carotti, M.; Guglielmi, G.; Passarini, G.; Grassi, W. The crowned dens syndrome as a cause of neck pain: Clinical and computed tomography study in patients with calcium pyrophosphate dihydrate deposition disease. Clin. Exp. Rheumatol. 2008, 26, 1040–1046. [Google Scholar]
- Yanai, H.; Yoshida, H.; Tada, N. Clinical, radiological, and biochemical characteristics in patients with diseases mimicking polymyalgia rheumatica. Clin. Interv. Aging 2009, 4, 391–395. [Google Scholar] [CrossRef]
- Siau, K.; Lee, M.; Laversuch, C.J. Acute pseudogout of the neck—The crowned dens syndrome: 2 case reports and review of the literature. Rheumatol. Int. 2011, 31, 85–88. [Google Scholar] [CrossRef]
- Ceccato, F.; Uña, C.; Regidor, M.; Rillo, O.; Babini, S.; Paira, S. Enfermedades que simulan polimialgia reumática [Conditions mimicking polymyalgia rheumatica]. Reum. Clin. 2011, 7, 156–160. [Google Scholar] [CrossRef]
- Oka, A.; Okazaki, K.; Takeno, A.; Kumanomido, S.; Kusunoki, R.; Sato, S.; Ishihara, S.; Kinoshita, Y.; Nishina, M. Crowned Dens Syndrome: Report of Three Cases and a Review of the Literature. J. Emerg. Med. 2015, 49, e9–e13. [Google Scholar] [CrossRef] [PubMed]
- Manzo, C.; Natale, M.; Traini, E. Diagnosis of polymyalgia rheumatica in primary health care: Favoring and confounding factors—A cohort study. Rheumatology 2018, 56, 131–139. [Google Scholar] [CrossRef] [PubMed]
- Ono, R.; Horibata, K. Four Cases of Calcium Pyrophosphate Deposition Disease Presenting with Polymyalgia-Like Symptoms and Chondrocalcinosis in the Shoulder and Hip Joints Identified on CT Imaging. Cureus 2025, 17, e76897. [Google Scholar] [CrossRef]
- Paltta, J.; Suuronen, S.; Pirilä, L.; Palomäki, A. Differential diagnostics of polymyalgia rheumatica in a university hospital in Finland. Scand. J. Rheumatol. 2023, 52, 689–695. [Google Scholar] [CrossRef]
- Belkhir, R.; Le Burel, S.; Dunogeant, L.; Marabelle, A.; Hollebecque, A.; Besse, B.; Leary, A.; Voisin, A.-L.; Pontoizeau, C.; Coutte, L.; et al. Rheumatoid arthritis and polymyalgia rheumatica occurring after immune checkpoint inhibitor treatment. Ann. Rheum. Dis. 2017, 76, 1747–1750. [Google Scholar] [CrossRef]
- Kuswanto, W.F.; MacFarlane, L.A.; Gedmintas, L.; Mulloy, A.; Choueiri, T.K.; Bermas, B.L. Rheumatologic symptoms in oncologic patients on PD-1 inhibitors. Semin. Arthritis Rheum. 2018, 47, 907–910. [Google Scholar] [CrossRef]
- Kostine, M.; Rouxel, L.; Barnetche, T.; Veillon, R.; Martin, F.; Dutriaux, C.; Dousset, L.; Pham-Ledard, A.; Prey, S.; Beylot-Barry, M.; et al. Rheumatic disorders associated with immune checkpoint inhibitors in patients with cancer—Clinical aspects and relationship with tumour response: A single-centre prospective cohort study. Ann. Rheum. Dis. 2018, 77, 393–398. [Google Scholar] [CrossRef]
- Leipe, J.; Christ, L.A.; Arnoldi, A.P.; Mille, E.; Berger, F.; Heppt, M.; Goldscheider, I.; Kauffmann-Guerrero, D.; Huber, R.M.; Dechant, C.; et al. Characteristics and treatment of new-onset arthritis after checkpoint inhibitor therapy. RMD Open 2018, 4, e000714. [Google Scholar] [CrossRef] [PubMed]
- Salem, J.-E.; Manouchehri, A.; Moey, M.; Lebrun-Vignes, B.; Bastarache, L.; Pariente, A.; Gobert, A.; Spano, J.-P.; Balko, J.M.; Bonaca, M.P.; et al. Cardiovascular toxicities associated with immune checkpoint inhibitors: An observational, retrospective, pharmacovigilance study. Lancet Oncol. 2018, 19, 1579–1589. [Google Scholar] [CrossRef]
- Calabrese, C.; Cappelli, L.C.; Kostine, M.; Kirchner, E.; Braaten, T.; Calabrese, L. Polymyalgia rheumatica-like syndrome from checkpoint inhibitor therapy: Case series and systematic review of the literature. RMD Open 2019, 5, e000906. [Google Scholar] [CrossRef]
- Richter, M.D.; Crowson, C.; Kottschade, L.A.; Finnes, H.D.; Markovic, S.N.; Thanarajasingam, U. Rheumatic Syndromes Associated with Immune Checkpoint Inhibitors: A Single-Center Cohort of Sixty-One Patients. Arthritis Rheumatol. 2019, 71, 468–475. [Google Scholar] [CrossRef]
- Roberts, J.; Ennis, D.; Hudson, M.; Ye, C.; Saltman, A.; Himmel, M.; Rottapel, R.; Pope, J.; Hoa, S.; Tisseverasinghe, A.; et al. Rheumatic immune-related adverse events associated with cancer immunotherapy: A nationwide multi-center cohort. Autoimmun. Rev. 2020, 19, 102595. [Google Scholar] [CrossRef] [PubMed]
- Allenbach, Y.; Anquetil, C.; Manouchehri, A.; Benveniste, O.; Lambotte, O.; Lebrun-Vignes, B.; Spano, J.-P.; Ederhy, S.; Klatzmann, D.; Rosenzwajg, M.; et al. Immune checkpoint inhibitor-induced myositis, the earliest and most lethal complication among rheumatic and musculoskeletal toxicities. Autoimmun. Rev. 2020, 19, 102586. [Google Scholar] [CrossRef] [PubMed]
- de Fremont, G.M.; Belkhir, R.; Henry, J.; Voisin, A.L.; Lambotte, O.; Besson, F.L.; Mariette, X.; Nocturne, G. Features of polymyalgia rheumatica–like syndrome after immune checkpoint inhibitor therapy. Ann. Rheum. Dis. 2022, 81, e52. [Google Scholar] [CrossRef]
- Gómez-Puerta, J.A.; Lobo-Prat, D.; Perez-García, C.; Ponce, A.; Frade-Sosa, B.; Arciniegas, A.M.M.; Ojeda, F.; Ruiz-Esquide, V.; Corominas, H. Clinical Patterns and Follow-Up of Inflammatory Arthritis and Other Immune-Related Adverse Events Induced by Checkpoint Inhibitors. A Multicenter Study. Front. Med. 2022, 9, 888377. [Google Scholar] [CrossRef]
- Ponce, A.; Frade-Sosa, B.; Sarmiento-Monroy, J.C.; Sapena, N.; Ramírez, J.; Azuaga, A.B.; Morlà, R.; Ruiz-Esquide, V.; Cañete, J.D.; Sanmartí, R.; et al. Imaging Findings in Patients with Immune Checkpoint Inhibitor-Induced Arthritis. Diagnostics 2022, 12, 1961. [Google Scholar] [CrossRef]
- Kato, K.; Mizuno, T.; Koseki, T.; Ito, Y.; Takahashi, K.; Tsuboi, N.; Yamada, S. Frequency of Immune Checkpoint Inhibitor-Induced Vasculitides: An Observational Study Using Data from the Japanese Adverse Drug Event Report Database. Front. Pharmacol. 2022, 13, 803706. [Google Scholar] [CrossRef]
- Ceccarelli, F.; Natalucci, F.; Picciariello, L.; Olivieri, G.; Cirillo, A.; Gelibter, A.; Picone, V.; Botticelli, A.; Conti, F. Rheumatic Diseases Development in Patients Treated by Anti-PD1 Immune Checkpoint Inhibitors: A Single-Centre Descriptive Study. Life 2023, 13, 877. [Google Scholar] [CrossRef] [PubMed]
- Vermeulen, O.C.B.; Brouwer, E.; Slart, R.H.J.A.; Sandovici, M.; Rutgers, A.; Hilterman, T.J.; Hiddinga, B.; Oosting, S.F.; Jalving, M.; de Heij, A.H.; et al. Immune checkpoint inhibitor-mediated polymyalgia rheumatica versus primary polymyalgia rheumatica: Comparison of disease characteristics and treatment requirement. Rheumatology 2024, 64, keae099. [Google Scholar] [CrossRef]
- Manzo, C.; Isetta, M.; Natale, M.; Castagna, A. Identification and Classification of Polymyalgia Rheumatica (PMR) and PMR-Like Syndromes Following Immune Checkpoint Inhibitors (ICIs) Therapy: Discussion Points and Grey Areas Emerging from a Systematic Review of Published Literature. Medicines 2020, 7, 68. [Google Scholar] [CrossRef]
- Liew, D.F.; Mackie, S.L.; Tison, A.; Sattui, S.E.; Yates, M.; Buchanan, R.R.; Owen, C.E. Immune Checkpoint Inhibitor-induced Polymyalgia Rheumatica. Rheum. Dis. Clin. N. Am. 2024, 50, 255–267. [Google Scholar] [CrossRef] [PubMed]
- González-Gay, M.A.; García-Porrúa, C.; Salvarani, C.; Olivieri, I.; Hunder, G.G. Polymyalgia manifestations in different conditions mimicking polymyalgia rheumatica. Clin. Exp. Rheumatol. 2000, 18, 755–759. [Google Scholar]
- Mackie, S.L.; Hensor, E.M.A.; Haugeberg, G.; Bhakta, B.; Pease, C.T. Can the prognosis of polymyalgia rheumatica be predicted at disease onset? Results from a 5-year prospective study. Rheumatology 2010, 49, 716–722. [Google Scholar] [CrossRef] [PubMed]
- Mackie, S.L.; Pease, C.T.; Fukuba, E.; Harris, E.; Emery, P.; Hodgson, R.; Freeston, J.; McGonagle, D. Whole-body MRI of patients with polymyalgia rheumatica identifies a distinct subset with complete patient-reported response to glucocorticoids. Ann. Rheum. Dis. 2015, 74, 2188–2192. [Google Scholar] [CrossRef]
- Quartuccio, L.; Gregoraci, G.; Isola, M.; De Vita, S. Retrospective analysis of the usefulness of a protocol with high-dose methotrexate in polymyalgia rheumatica: Results of a single-center cohort of 100 patients. Geriatr. Gerontol. Int. 2018, 18, 1410–1414. [Google Scholar] [CrossRef] [PubMed]
- Hayashi, K.; Ohashi, K.; Watanabe, H.; Sada, K.-E.; Shidahara, K.; Asano, Y.; Asano, S.H.; Yamamura, Y.; Miyawaki, Y.; Morishita, M.; et al. Thrombocytosis as a prognostic factor in polymyalgia rheumatica: Characteristics determined from cluster analysis. Ther. Adv. Musculoskelet. Dis. 2019, 11, 1759720X19864822. [Google Scholar] [CrossRef]
- Falsetti, P.; Conticini, E.; Baldi, C.; Bardelli, M.; Gentileschi, S.; D’alessandro, R.; Al Khayyat, S.G.; Cantarini, L.; Frediani, B. Polymyalgia Rheumatica: A syndrome with an enthesitic subset? Comment on: “Use of 18F FDG PET-CT to discriminate polymyalgia rheumatica and atypical spondylarthritis in clinical practice” by Marie Pean de Ponfilly–Sotier et al. Joint Bone Spine 2021;89:105325. Jt. Bone Spine 2022, 89, 105378. [Google Scholar] [CrossRef]
- Hysa, E.; Gotelli, E.; Sammorì, S.; Cimmino, M.A.; Paolino, S.; Pizzorni, C.; Sulli, A.; Smith, V.; Cutolo, M. Immune system activation in polymyalgia rheumatica: Which balance between autoinflammation and autoimmunity? A systematic review. Autoimmun. Rev. 2022, 21, 102995. [Google Scholar] [CrossRef]
- Manzo, C.; Natale, M.; Isetta, M.; Castagna, A. Comment on: Immune checkpoint inhibitor-mediated polymyalgia rheumatica versus primary polymyalgia rheumatica: Comparison of disease characteristics and treatment requirement. Rheumatology 2025, 64, 900–901. [Google Scholar] [CrossRef]
- Srinivasan, R.; Ramya, G. Adverse drug reaction—Causality assessment. Int. J. Res. Pharm. Chem. 2011, 1, 606–612. [Google Scholar]
- Kostine, M.; Finckh, A.; Bingham, C.O., 3rd; Visser, K.; Leipe, J.; Schulze-Koops, H.; Choy, E.H.; Benesova, K.; Radstake, T.; Cope, A.P.; et al. EULAR points to consider for the diagnosis and management of rheumatic immune-related adverse events due to cancer immunotherapy with checkpoint inhibitors. Ann. Rheum. Dis. 2020, 80, 36–48. [Google Scholar] [CrossRef] [PubMed]
- Zhang, H.; Watanabe, R.; Berry, G.J.; Vaglio, A.; Liao, Y.J.; Warrington, K.J.; Goronzy, J.J.; Weyand, C.M. Immunoinhibitory checkpoint deficiency in medium and large vessel vasculitis. Proc. Natl. Acad. Sci. USA 2017, 114, E970–E979. [Google Scholar] [CrossRef] [PubMed]
- Milchert, M.; Manzo, C.; Castagna, A.; Brzosko, M. Calcium pyrophosphate disease and polymyalgia reumatica: Association or coincidence? Comment on “Ultrasound shoulder assessment of calcium pyrophosphate disease with suspected polymyalgia rheumatica” Ottaviani et al. Clin. Exp. Rheumatol. 2021, 39, 920. [Google Scholar] [CrossRef]
- Zhang, W.; Doherty, M.; Bardin, T.; Barskova, V.; Guerne, P.-A.; Jansen, T.L.; Leeb, B.F.; Perez-Ruiz, F.; Pimentao, J.; Punzi, L.; et al. European League Against Rheumatism recommendations for calcium pyrophosphate deposition. Part I: Terminology and diagnosis. Ann. Rheum. Dis. 2011, 70, 563–570. [Google Scholar] [CrossRef]
- Filippou, G.; Sirotti, S. How can ultrasonography help in the management of CPPD? From diagnosis to clinical subset identification. Curr. Opin. Rheumatol. 2023, 35, 185–193. [Google Scholar] [CrossRef]
- Sirotti, S.; Terslev, L.; Filippucci, E.; Iagnocco, A.; Moller, I.; Naredo, E.; Vreju, F.A.; Adinolfi, A.; Becce, F.; Hammer, H.B.; et al. Development and validation of an OMERACT ultrasound scoring system for the extent of calcium pyrophosphate crystal deposition at the joint level and patient level. Lancet Rheumatol. 2023, 5, e474–e482. [Google Scholar] [CrossRef] [PubMed]
- Abhishek, A.; Tedeschi, S.K.; Pascart, T.; Latourte, A.; Dalbeth, N.; Neogi, T.; Fuller, A.; Rosenthal, A.; Becce, F.; Bardin, T.; et al. The 2023 ACR/EULAR classification criteria for calcium pyrophosphate deposition disease. Ann. Rheum. Dis. 2023, 82, 1248–1257. [Google Scholar] [CrossRef]
- Filippou, G.; Filippucci, E.; Mandl, P.; Abhishek, A. A critical review of the available evidence on the diagnosis and clinical features of CPPD: Do we really need imaging? Clin. Rheumatol. 2021, 40, 2581–2592. [Google Scholar] [CrossRef]
- Salvarani, C.; Padoan, R.; Iorio, L.; Tomelleri, A.; Terrier, B.; Muratore, F.; Dasgupta, B. Subclinical giant cell arteritis in polymyalgia rheumatica: Concurrent conditions or a common spectrum of inflammatory diseases? Autoimmun. Rev. 2024, 23, 103415. [Google Scholar] [CrossRef]
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