Abstract
Sacroiliac joint involvement is one of the earliest manifestations of psoriatic arthritis (PsA). Magnetic resonance imaging (MRI) is a useful tool in the early diagnosis of axial disease due to its sensitivity for detecting acute and chronic changes associated with sacroiliitis. In this study, we evaluated the prevalence of sacroiliitis, acute and structural image changes on MRI in PsA patients and identified predictive clinical, laboratory and disease activity factors. Cross-sectional study on PsA patients submitted to MRI of the sacroiliac joints. The scans were evaluated by two blinded radiologists and the level of agreement was calculated (kappa). Clinical, disease activity and quality-of-life indices (DAS28, BASDAI, PASI, MASES, HAQ, CRP, ESR) were estimated. The sample consisted of 45 PsA patients with a mean age of 50.1 ± 11.5 years. The prevalence of sacroiliitis was 37.8% (n = 17), 47% of which was unilateral. The kappa coefficient was 0.64. Only 5 (29.4%) of the 17 patients with sacroiliitis on MRI had back pain. The most prevalent acute and chronic changes on MRI were, respectively, subchondral bone edema (26.7%) and enthesitis (20%), periarticular erosions (26.7%) and fat metaplasia (13.3%). CRP levels were higher among sacroiliitis patients (p = 0.028), and time of psoriasis was positively associated with chronic lesions (p = 0.006). Sacroiliitis on MRI was highly prevalent in our sample of PsA patients. Raised CRP levels were significantly associated with sacroiliitis, and longer time of psoriasis was predictive of chronic sacroiliitis lesions. Most sacroiliitis patients displayed no clinical symptoms.
Subject terms: Medical research, Psoriatic arthritis
Introduction
Psoriatic arthritis (PsA) is an immune-mediated chronic inflammatory joint pathology, one of several spondyloarthropathies. Potentially destructive and progressive, it affects 20–30% of patients with cutaneous psoriasis. The clinical spectrum of PsA includes peripheral arthritis, axial disease, enthesitis or dactylitis, and skin and/or nail involvement1–3. According to clinical or radiographic evidence, the prevalence of axial disease is 25–70% in patients with peripheral PsA4,5 and 7–17% in patients without peripheral involvement6.
Magnetic resonance imaging (MRI) is an excellent diagnostic tool for axial disease in spondyloarthropathies due to its sensitivity for detecting inflammatory lesions. It is currently used with the Assessment of Spondyloarthritis International Society (ASAS) classification criteria for axial spondyloarthritis, identifying the acute and chronic changes of sacroiliitis, and plays an important role in the follow-up of patients treated with immunobiological drugs. According to some authors, radiological involvement of the sacroiliac joint is one of the earliest signs of PsA, preceding clinical manifestations in approximately 30% of patients7. Another study revealed associations between radiological sacroiliitis and clinical PsA patterns and concluded that 25% of the patients had radiological sacroiliitis (asymmetric 73%, clinical history of back pain 100%). Sacroiliitis was significantly associated with peripheral joint erosion (p = 0.043), high psoriasis activity and severity scores (PASI) (p = 0.041) and early onset of PsA (p ≤ 0.001)2. However, only little has been published on MRI-detected changes of sacroiliitis in PsA patients or on factors predictive of sacroiliitis in this population8.
Thus, in this study we evaluated the prevalence of sacroiliitis, acute and structural image changes on MRI in patients with PsA and identified predictive clinical, laboratory and disease activity factors.
Materials and methods
Study approval
In this observational, cross-sectional and quantitative study, semi-structured questionnaires were administered to patients attending the rheumatology service of the General Hospital of Fortaleza (HGF), Brazil, between August and October 2018. Submitted through an online national research database (Plataforma Brasil), the study protocol was approved by the research ethics committee of the HGF and filed under entry #2837133. All patients gave their written informed consent, and all study activities were conducted in accordance with the approved protocols and guidelines.
Patients
The inclusion criteria were: diagnosis of PsA according to the CASPAR classification9, availability of MRI scans of the sacroiliac joints, age over 18 years, and compliance with follow-up at the outpatient rheumatology service.
Data collection
Information was collected on sociodemographic and clinical variables, and the MRI scans were analyzed by two independent radiologists blinded to all clinical and laboratory data. The MRI scans were performed during the study period, regardless of the presence of low back pain symptoms. The sociodemographic variables included sex, age (years), level of schooling, city of origin, address, and household income. The clinical variables included the use of NSAIDs, disease-modifying anti-rheumatic drugs and immunobiological products. The patients were also scored with the disease activity score of 28 joints (DAS28)10, PASI10, the Maastricht ankylosing spondylitis enthesis score (MASES)10 and the Bath ankylosing spondylitis disease activity index (BASDAI)10. In addition, the health assessment questionnaire (HAQ)10 was administered. DAS28 was based on CRP. Three ranges of DAS28 were considered: low (2.6–3.1), moderate (> 3.2–5.0) and high (> 5.1). PASI (range 0–72) was calculated using GRAPPA for IOS and Android, whereas MASES (range 0–13) was determined by summing up points. BASDAI was dichotomized into inactive (< 4) and active (≥ 4), while HAQ was calculated for 8 domains, each with a range of 0–3, with higher scores indicating greater deficiency.
Blood drawn from the patients was submitted to determination of erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP). HLA-B27 was performed whenever available.
All patients were submitted to MRI (Philips Achieva 1.5T) of the sacroiliac joints, with or without endovenous administration of paramagnetic contrast agents (gadolinium), in the oblique coronal plane (parallel to the long axis of the sacrum) and axial plane in the following sequence: T1-weighted in turbo spin-echo (TSE) (TR/TE, 600/minimum), STIR (TR/TE, 4.000/60), T2-weighted with fat suppression (TR/TE, 4000/50), and enhanced T1-weighted in TSE (TR/TE, 600/minimum) with fat suppression. The latter images were obtained after endovenous administration of 0.1 mmol gadobenate dimeglumine per kg of body weight. The equipment was configured to 20 cm field of view, 4 mm slice thickness and 2 excitations. Imaging lasted 7 min (STIR), 4 min (fat-suppressed T2 TSE), 6 min (T1 TSE) or 6 min (fat-suppressed enhanced T1 TSE).
Sacroiliitis was classified as symmetric or asymmetric. The sacroiliac joints were evaluated for signs of involvement of the joint space, surrounding bone, bone marrow adjacent to the joint in each image sequence, enhancement, subchondral bone marrow edema, synovitis, enthesitis, capsulitis, cartilage abnormalities, periarticular erosions, fat infiltration of the subchondral bone marrow, and ankylosis. Chronic disease was suspected based on low-signal changes in T1 and T2-weighted images, periarticular erosions, subchondral bone sclerosis, joint space narrowing, bone bridges, and ankylosis. Active inflammatory disease was diagnosed based on high-signal erosions in STIR and fat-suppressed T2-weighted images, subchondral edema, synovitis, enthesitis, capsulitis and enhancement inside or adjacent to the joint.
In our evaluation of the MRI images we employed the definition of sacroiliitis in axial spondyloarthritis given by the ASAS/OMERACT MRI group11, according to which active inflammatory lesions in sacroiliac joints are described as bone marrow edema (STIR images) or osteitis (post-gadolinium T1 images)11.
Statistical analysis
All analyses were performed with the software IBM SPSS Statistics v. 23.0. The data and results were managed with Excel 2018 spreadsheets and graphs. Qualitative variables were expressed as absolute and relative frequencies, while quantitative variables were expressed as mean values ± standard deviation or median values (1st–3rd interquartile range). The normality of the quantitative data was verified with the Shapiro–Wilk test, while the binomial test was used to evaluate differences in the prevalence of sacroiliitis between our study and the literature. In the bivariate analysis, quantitative variables were compared using the Mann–Whitney test, while qualitative variables were compared with the chi-squared test or Fisher’s exact test. We also calculated the percentage variation between the groups (duration of arthritis and psoriasis with acute and chronic changes in sacroiliitis). The inter-examiner agreement was determined by calculating kappa coefficients (weak 0–0.2, acceptable 0.21–0.40, moderate 0.41–0.60, strong 0.61–0.80, almost perfect 0.81–0.99, and perfect 1.00)12. The strength of the observed associations was expressed as prevalence ratios and their respective confidence intervals (95% CI). The level of statistical significance was set at 5% (p < 0.05).
Results
Clinical-epidemiological aspects of PsA patients
The sample consisted of 45 PsA patients aged 50.1 ± 11.5 years on the average who met the inclusion criteria. The two sexes were nearly equally represented (female 51.1% vs. male 48.9%), the vast majority were classified as non-white (95.6%), the predominant monthly income bracket (53.3%) was 0–3 minimum wages (at the time of writing, the Brazilian minimum wage corresponded to USD ~ 270), and the average time of schooling was 9.5 ± 3.8 years. (Table 1). No significant association was found between the prevalence of sacroiliitis on MRI and any age range or sociodemographic variable (Table 2).
Table 1.
Variables | Patients (n = 45) |
---|---|
Epidemiological variables | |
Age, years | 50.1 ± 11.5 |
Female/male sex, n (%) | 23 (51.1)/22 (48.9) |
White race, n (%) | 2 (4.4) |
Non-white race, n (%) | 43 (95.6) |
Household income of 1–3 minimum wages/month* (%) | 24 (53.3) |
Formal schooling, years | 9.5 ± 3.8 |
Clinical variables | |
Symmetric polyarticular, n (%) | 31 (68.9) |
Nail involvement, n (%) | 31 (68.9) |
Enthesitis, n (%) | 23 (51.1) |
Dactylitis, n (%) | 18 (40.0) |
Oligoasymmetric, n (%) | 10 (22.2) |
Spondylitis, n (%) | 10 (22.2) |
Mutilating, n (%) | 3 (6.7) |
Uveitis, n (%) | 2 (4.4) |
Disease activity indices | |
DAS28-CRP | 3.4 ± 1.6 |
DAS28-ESR | 2.91 ± 2.0 |
BASDAI | 3.22 ± 2.1 |
HAQ | 1.06 ± 0.7 |
PASI | 2.0 ± 2.9 |
MASES | 1.9 ± 3.2 |
Source: the authors (2019).
Results expressed as mean values ± standard deviation, absolute numbers and percentages.
DAS28-CRP: disease activity score 28-joint count with C reactive protein; DAS28-ESR: disease activity score 28-joint count with erythrocyte sedimentation rate; BASDAI: Bath ankylosing spondylitis activity index; HAQ: health assessment questionnaire; PASI: psoriatic arthritis skin index; MASES: Maastricht ankylosing spondylitis enthesitis score.
*At the time of writing, the monthly Brazilian minimum wage corresponded to USD ~ 270.
Table 2.
Variables | With sacroiliitis (n = 17) |
Without sacroiliitis (n = 28) |
p-value |
---|---|---|---|
Demographic variables | |||
Age groups | 0.315b | ||
25–39 years | 1 (16.7) | 5 (83.3) | |
40–49 years | 7 (53.8) | 6 (46.2) | |
50–59 years | 5 (27.8) | 13 (72.5) | |
≥ 60 years | 4 (50) | 4 (50) | |
Sex | 0.299a | ||
Female | 7 (30.4) | 16 (69.6) | |
Male | 10 (45.5) | 12 (54.5) | |
Racial type | 1.000b | ||
White | 1 (50) | 1 (50) | |
Non-white | 16 (37.2) | 27 (62.8) | |
Household income* | 1.000b | ||
< 1 minimum wage/month | 5 (38.5) | 8 (61.5) | |
1–3 minimum wages/month | 9 (37.5) | 15 (62.5) | |
> 3 minimum wages/month | 3 (37.5) | 5 (62.5) | |
Years of formal schooling | 0.437b | ||
≤ 5 | 3 (21.4) | 11 (78.6) | |
6–9 | 4 (50) | 4 (50) | |
10–12 | 8 (47.1) | 9 (52.9) | |
> 12 | 2 (33.3) | 4 (66.7) | |
Clinical presentations | |||
Symmetric polyarticular, n (%) | 11 (35.5) | 20 (64.5) | 0.637a |
Nail involvement, n (%) | 10 (32.3) | 21 (67.7) | 0.256a |
Enthesitis, n (%) | 9 (39.1) | 14 (60.9) | 0.848a |
Dactylitis, n (%) | 5 (27.8) | 13 (72.2) | 0.259a |
Oligoasymmetric, n (%) | 4 (40) | 6 (60) | 1.000b |
Spondilitis, n (%) | 5 (50) | 5 (50) | 0.467b |
Mutilating, n (%) | 2 (66.7) | 1 (33.3) | 0.547b |
Uveitis, n (%) | 1 (50) | 1 (50) | 1.000b |
Disease activity indices | |||
DAS28-CRP | 3.6 (1.96–5.4) | 3.1 (2.2–4.21) | 0.358c |
DAS28-ESR | 2.13 (2.09–5.6) | 1.6 (1.25–2.7) | 0.251c |
BASDAI | 2 (1.5–3.2) | 3.9 (1.9–6.3) | 0.389c |
HAQ | 1.44 (0.62–1.69) | 0.88 (0.25–1.62) | 0.420c |
PASI | 1.7 (0–2.8) | 0.4 (0–2.6) | 0.495c |
MASES | 1 (0–3.5) | 0 (0–2) | 0.341c |
Time of disease and laboratory markers | |||
Time of disease (arthritis) | 6.0 (4.0–15.0) | 6.5 (5.0–11.5) | 0.823a |
Time of disease (psoriasis) | 15.0 (5.0–18.0) | 9.0 (6.0–15.0) | 0.511a |
CRP | 6.59 (3.11–10.4) | 3.11 (1.64–4.33) | 0.028a |
ESR | 9.5 (6.00–16.00) | 12.00 (8.00–18.00) | 0.494a |
HLA-B27-positive | 2 (28.6%) | – | 0.154b |
Source: the authors (2019).
Results expressed as median values (1st–3rd quartile).
DAS28-CRP: disease activity score 28-joint count with C reactive protein; DAS28-ESR: disease activity score 28-joint count with erythrocyte sedimentation rate; BASDAI: Bath ankylosing spondylitis activity index; HAQ: health assessment questionnaire; PASI: psoriatic arthritis skin index; MASES: Maastricht ankylosing spondylitis enthesitis score; HLA-B27: Human leukocyte antigen B27.
*At the time of writing, the monthly Brazilian minimum wage corresponded to USD ~ 270.
aChi-squared test; bFisher’s exact test; cMann-Whitney test.
The prevalence of the different forms of joint involvement was 68.9% (n = 31) for symmetric polyarticular arthritis, 22% (n = 10) for asymmetric oligoarthritis, and 22.2% (n = 10) for spondylitis. Among other clinical manifestations, the most prevalent was nail involvement (n = 31; 68.9%), followed by enthesitis (51.1%; n = 23), dactylitis (40%; n = 18) and uveitis (4.4%; n = 2) (Table 1). No significant association was found between the prevalence of sacroiliitis on MRI and any of the clinical spectra (Table 2).
Clinical, disease activity and quality-of-life indices in PsA patients
The following mean PsA activity scores were observed: DAS28-CRP 3.40 ± 1.6, DAS28-ESR 2.91 ± 2.0, and BASDAI 3.22 ± 2.1. Most patients had low HAQ (1.06 ± 0.7), PASI (2.00 ± 2.9) and MASES (1.90 ± 3.2) scores (Table 1). PsA patients with and without sacroiliitis on MRI did not differ significantly with regard to clinical, disease activity or quality-of-life indices (Table 2).
Treatment
With regard to the use of medication at the time of the evaluation, most patients used no drugs, while 26.7% (n = 12) used NSAIDs, 35.6% (n = 16) received immunobiologicals, and 8.9% (n = 4) used corticoids. Historically, 73.3% (n = 33) had never used corticoids.
Evaluation of sacroiliitis on MRI
In our sample of 45 PsA patients, the prevalence of sacroiliitis on MRI was 37.8% (n = 17), 47.0% (n = 8) of which was unilateral. Only one fifth (22%; n = 10) presented symptoms of inflammatory lumbar pain. Low back pain was observed in 29.4% (n = 5) of the patients with sacroiliitis. The most prevalent acute structural change observed on MRI was subchondral bone edema (26.7%; n = 12), followed by enthesitis (20%; n = 9), capsulitis (17.8%; n = 8) and synovitis (8.8%; n = 4) (Fig. 1, Table 3). The most prevalent chronic structural change was periarticular erosion (26.7%; n = 12), followed by fat metaplasia (13.3%; n = 6), bone sclerosis (11.1%; n = 5) and bone bridge/ankylosis (2.2%; n = 1) (Fig. 2, Table 3). The agreement between the two radiologists regarding the diagnosis of sacroiliitis was strong (kappa = 0.640).
Table 3.
Changes | n | % |
---|---|---|
Acute | ||
Subchondral bone edema | 12 | 26.7 |
Enthesitis | 9 | 20.0 |
Capsulitis | 8 | 17.8 |
Synovitis | 4 | 8.8 |
Chronic | ||
Periarticular erosions | 12 | 26.7 |
Fat metaplasia | 6 | 13.3 |
Bone sclerosis | 5 | 11.1 |
Bone bridge/ankylosis | 1 | 2.2 |
Source: the authors (2019).
Time of disease (psoriasis and arthritis) in patients with and without sacroiliitis on MRI
The time of disease in arthritis patients was 4–12 years (median 6). The corresponding value for psoriasis patients was 6–17 years (median 9). A significant association was observed between time of psoriasis and acute and chronic changes of sacroiliitis (Table 4). The median time of arthritis differed between the groups (acute vs chronic) by 41.7%, while the median time of psoriasis differed by 260% between acute and chronic changes in sacroiliitis.
Table 4.
Time of disease | Acute | Chronic | ∆% | p value |
---|---|---|---|---|
Arthritis | 6.0 (4.0–12.0) | 8.5 (4.0–16.0) | 41.7 | 0.322 |
Psoriasis | 5.0 (0.0–11.0) | 18.0 (15.0–28.0) | 260.0 | 0.006 |
Source: the authors (2019).
∆%: percentage variation.
Inflammatory markers and HLA-B27 in PsA patients
All patients were tested for CRP and ESR. Sacroiliitis and non-sacroiliitis patients differed significantly with regard to CRP, but not with respect to ESR (Table 2).
Discussion
To our knowledge, this is the first Brazilian study to evaluate the prevalence of sacroiliitis on MRI in PsA patients and correlate positivity for sacroiliitis with acute and chronic changes and clinical, laboratory and epidemiological variables. The joint analysis of these variables made it possible to identify predictors of sacroiliitis in our sample. Early diagnosis of axial involvement on MRI, prior to the emergence of structural damage (which is diagnosed with an average delay of 8–11 years13–15), can help prevent loss of quality of life from limited physical function, psychological distress and inability to perform daily activities due to pain and discomfort associated with joint and skin symptoms16,17. Loss of quality of life can also be prevented with emerging biological therapy18.
Sociodemographically, our sample was similar to that of another Brazilian cohort of 175 PsA patients19 with regard to age and male/female ratio, however the proportion of the non-white racial type was much higher in our study (95.6% vs. 28%). A similar discrepancy was observed in relation to a recent study from the US involving 1,567 patients of which only 9% were non-white20. This may be explained by differences in sample size or by regional differences (e.g., Southeastern vs. Midwestern Brazil). The broad demographic spectrum of the Brazilian population is the most likely explanation for the particularly non-white ethnic composition of our sample.
The prevalence of sacroiliitis on MRI in our sample of PsA patients (37.8%) matches studies reporting prevalences of axial disease in PsA between 25 and 50%2, but is somewhat higher than the prevalence of sacroiliitis in PsA patients reported in another Brazilian study (24.4%)19. The higher prevalence observed in the current study may be explained by our recruitment from a referral center for patients with more advanced and long-standing disease, or by regional, genetic and environmental factors.
Interestingly, inflammatory lumbar pain was only observed in 29.4% of the patients with sacroiliitis and the most prevalent findings on MRI were subchondral bone edema and enthesitis (acute changes) and periarticular erosions and fat metaplasia (chronic changes), proving that changes on MRI may occur in the absence of clinical symptoms, and reinforcing the role of MRI in the prevention of distant structural damage and in the evaluation of therapy for axial spondyloarthritis. Despite the regional and ethnic peculiarities of our sample, our results are supported by the literature showing that patients with sacroiliitis do in fact display early structural damage in the sacroiliac joints on MRI before the emergence of clinical symptoms21–23. In fact, another study documented clinical features of sacroiliitis in 14 (33%) of 42 patients with normal MRI scans and in 10 (38%) of 26 patients with abnormal scans (normal vs abnormal scans, p = 0.7). Moreover, the presence of sacroiliitis on MRI was associated with restricted spinal movements (p = 0.004) and the duration of PsA (p = 0.04), but no association between sacroiliitis on MRI and BASDAI or BASFI or HLA-B27 was observed, leading the authors to conclude that clinical assessment of sacroiliitis and HLA-B27 are poor predictors of sacroiliitis diagnosed by MRI in PsA patients24. Finally, a study using MRI reported inflammatory and chronic changes to defined areas in the sacroiliac joints in patients with early-stage versus late-stage PsA and concluded that whereas the iliac and the sacral side of the sacroiliac joints are almost equally affected, the dorsocaudal synovial part of the joint is involved significantly more often than the ventral part, especially in early disease. Sacroiliac enthesitis is not a special feature of early sacroiliac inflammation25.
In our sample, the time of psoriasis (12.5 ± 9.6 years) was significantly associated with the presence of chronic sacroiliitis damage (p = 0.006), matching the results of another Brazilian study reporting a mean psoriasis duration of 15.4 ± 11.7 years26. In a controlled study involving patients with cutaneous psoriasis but no arthritis or spondylitis, the evidence of subclinical axial disease with sacroiliac involvement on MRI was limited. The authors admitted their findings were insufficient to warrant routine MRI screening of patients with long-standing psoriasis27.
A relevant finding of this study was the non-significance of sacroiliac involvement (53.0% displayed bilateral sacroiliitis), in disagreement with the literature. Thus, two studies evaluating the type and frequency of sacroiliitis in psoriasis patients found, respectively, that 26% of 133 psoriasis patients presented sacroiliac involvement, more than half of which was bilateral27, and that 25% of 70 psoriasis patients had sacroiliitis, less than half of which was bilateral2.
Moreover, the presence of sacroiliitis was not significantly associated with oligoarthritis, mutilating arthritis, dactylitis, nail involvement or enthesitis. However, an earlier study found a higher prevalence of uveitis in patients with than without sacroiliitis (8.5% vs. 1.4%, p = 0.003), contrasting with our findings (50% vs. 50%, p = 1.000)2.
In this study, the increased CRP levels resulting from disease activity were significantly associated with the presence of sacroiliitis (p = 0.028). An earlier study2 also found significant correlations between CRP and sacroiliitis in PsA patients (p = 0.006), but no other disease activity index was significantly associated with sacroiliitis (DAS28-CRP p = 0.358, DAS28-ESR p = 0.251, BASDAI p = 0.389). The same was true for the quality-of-life index (HAQ p = 0.420) and clinical scores (PASI p = 0.495, MASES p = 0.341). Likewise, current PASI values were non-significant (p = 0.495), matching the literature (p = 0.23)2.
Approximately 15% of patients with peripheral PsA may be expected to develop axial disease in the course of 10 years. The possible risk factors include severe peripheral arthritis, early-onset arthritis, increased ESR, presence of HLA-B27, severe ungual dystrophy and inflammatory bowel disease28,29. Sacroiliitis has been shown to be significantly associated with severe peripheral arthritis (presence of erosions) and early-onset arthritis2. On the other hand, the risk factors for sacroiliac involvement also include severe psoriasis associated with HLA-B0801 positivity and reduced HLA-B27 frequency, suggesting HLA-B27 is a less important predictor of sacroiliitis. In our study, sacroiliitis was not associated with ESR (p = 0.494) or with clinical predictors such as joint involvement pattern (p > 0.05) and enthesitis (p = 0.848). A similar lack of correlation between sacroiliitis and enthesitis was reported in another recent study30.
Our study has some limitations: (i) the relatively small sample of patients recruited from a single center, (ii) the unavailability of HLA-B27 testing in some cases, (iii) the cross-sectional study design, making it more difficult to draw conclusions regarding the ability of the selected clinical and laboratory variables to predict sacroiliitis in PsA patients, and (iv) the absence of analysis of the possible impact of racial type on PsA diagnosis, therapy and outcome.
Sacroiliitis on MRI was highly prevalent in our sample of PsA patients, but most sacroiliitis patients displayed no clinical symptoms. Raised CRP levels were significantly associated with sacroiliitis, and the time of psoriasis was predictive of chronic sacroiliitis lesions. Prospective studies on larger samples, including HLA-B27 testing, are necessary to identify predictive clinical, laboratory and image changes on MRI in PsA patients.
Acknowledgements
This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.
Author contributions
All authors were involved in drafting the article or revising it critically for important intellectual content, and all authors approved the final version to be submitted for publication. C.E.M.R. had full access to all study data and takes responsibility for the integrity of the data. Study conception and design: M.V.B., L.M.A.R., C.E.M.R. Acquisition of data: M.V.B., J.R.L., C.L.M.F., C.E.M.R. Analysis and interpretation of data: M.V.B., S.C.O., A.H.C.V., C.E.M.R.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Lee MP, et al. Patterns of systemic treatment for psoriatic arthritis in the US: 2004–2015. Arthritis Care Res. 2018;70:791–796. doi: 10.1002/acr.23337. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Haroon M, et al. Clinical and genetic associations of radiographic sacroiliitis and its different patterns in psoriatic arthritis. Clin Exp Rheumatol. 2017;35:270–276. [PubMed] [Google Scholar]
- 3.Huynh DQ, Kavanaugh A. Psoriatic arthritis: Current therapy and future approaches. Rheumatology (Oxford) 2014;54:20–28. doi: 10.1093/rheumatology/keu237. [DOI] [PubMed] [Google Scholar]
- 4.Queiro R, et al. Patients with psoriatic arthritis may show differences in their clinical and genetic profiles depending on their age at psoriasis onset. Clin. Exp. Rheumatol. 2012;30:476–480. [PubMed] [Google Scholar]
- 5.Chandran V, et al. Axial psoriatic arthritis: Update on a longterm prospective study. J. Rheumatol. 2019;36:2744–2750. doi: 10.3899/jrheum.090412. [DOI] [PubMed] [Google Scholar]
- 6.Niccoli L, et al. Frequency of iridocyclitis in patients with early psoriatic arthritis: A prospective, follow up study. Int. J. Rheum. Dis. 2012;15:414–418. doi: 10.1111/j.1756-185X.2012.01736.x. [DOI] [PubMed] [Google Scholar]
- 7.Baraliakos X, Coates LC, Braun J. The involvement of the spine in psoriatic arthritis. Clin. Exp. Rheumatol. 2015;33:31–35. [PubMed] [Google Scholar]
- 8.McQueen F, Lassere M, Østergaard M. Magnetic resonance imaging in psoriatic arthritis: A review of the literature. Arthritis Res. Ther. 2006;8:207. doi: 10.1186/ar1934. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Taylor W, et al. Classification criteria for psoriatic arthritis: Development of new criteria from a large international study. Arthritis Rheum. 2006;54:2665–2673. doi: 10.1002/art.21972. [DOI] [PubMed] [Google Scholar]
- 10.Mease PJ. Measures of psoriatic arthritis. Arthritis Care Res. 2011;63:64–85. doi: 10.1002/acr.20577. [DOI] [PubMed] [Google Scholar]
- 11.Rudwaleit M, et al. The development of Assessment of SpondyloArthritis international Society classification criteria for axial spondyloarthritis (part II): Validation and final selection. Ann Rheum Dis. 2009;68:777–783. doi: 10.1136/ard.2009.108233. [DOI] [PubMed] [Google Scholar]
- 12.McHugh ML. Interrater reliability: The kappa statistic. Biochem. Med. (Zagreb) 2012;22:26–282. [PMC free article] [PubMed] [Google Scholar]
- 13.McHugh ML, Lambert RGW, Østergaard M, Jaremko JL. Magnetic resonance imaging in rheumatology. Magn. Reson. Imaging Clin. N. Am. 2018;26:599–613. doi: 10.1016/j.mric.2018.06.008. [DOI] [PubMed] [Google Scholar]
- 14.Sengupta R, et al. Short-term repeat magnetic resonance imaging scans in suspected early axial spondyloarthritis are clinically relevant only in HLA-B27-positive male subjects. J. Rheumatol. 2018;45:202–205. doi: 10.3899/jrheum.170171. [DOI] [PubMed] [Google Scholar]
- 15.Hayashi M, et al. Superiority of magnetic resonance imaging over conventional radiography in the early diagnosis of psoriatic arthritis. J. Dermatol. 2017;44:e232–e233. doi: 10.1111/1346-8138.13918. [DOI] [PubMed] [Google Scholar]
- 16.Koo J. Population-based epidemiologic study of psoriasis with emphasis on quality of life assessment. Dermatol. Clin. 1996;14:485–496. doi: 10.1016/S0733-8635(05)70376-4. [DOI] [PubMed] [Google Scholar]
- 17.Walsh JA, et al. Work productivity loss and fatigue inpsoriatic arthritis. J Rheumatol. 2004;41:1670–1674. doi: 10.3899/jrheum.140259. [DOI] [PubMed] [Google Scholar]
- 18.Siba P, et al. Management of psoriatic arthritis: Early diagnosis, monitoring of disease severity and cutting edge therapies. J. Autoimmun. 2017;76:21–37. doi: 10.1016/j.jaut.2016.10.009. [DOI] [PubMed] [Google Scholar]
- 19.Ranza R, et al. Prevalence of psoriatic arthritis in a large cohort of Brazilian patients with psoriasis. J. Rheumatol. 2015;42:829–834. doi: 10.3899/jrheum.140474. [DOI] [PubMed] [Google Scholar]
- 20.Mease PJ, et al. Clinical characteristics, disease activity, and patient-reported outcomes in psoriatic arthritis patients with dactylitis or enthesitis: Results from the corrona psoriatic arthritis/spondyloarthritis registry. Arthritis Care Res. 2017;69:1692–1699. doi: 10.1002/acr.23249. [DOI] [PubMed] [Google Scholar]
- 21.Eshed I, Hermann KGA, Zejden A, Sudoł-Szopińska I. Imaging to differentiate the various forms of seronegative arthritis. Semin. Musculoskelet. Radiol. 2018;22:189–196. doi: 10.1055/s-0038-1639467. [DOI] [PubMed] [Google Scholar]
- 22.Sahin N, et al. Is there a role for DWI in the diagnosis of sacroiliitis based on ASAS criteria? Int. J. Clin. Exp. Med. 2015;8:7544–7552. [PMC free article] [PubMed] [Google Scholar]
- 23.Bredella MA, et al. MRI of the sacroiliac joints in patients with moderate to severe ankylosing spondylitis. Am. J. Roentgenol. 2006;187:1420–1426. doi: 10.2214/AJR.05.1423. [DOI] [PubMed] [Google Scholar]
- 24.Williamsonn L, et al. Clinical assessment of sacroiliitis and HLA-B27 are poor predictors of sacroiliiitis diagnosed by magnetic resonance imaging in psoriatic arthritis. Rheumatology (Oxford) 2004;43:85–88. doi: 10.1093/rheumatology/keg475. [DOI] [PubMed] [Google Scholar]
- 25.Muche B, Bollow M, François RJ, Sieper J, Hamm B, Braun J. Anatomic structures involved in early- and late-stage sacroiliitis in spondylarthritis: A detailed analysis by contrast-enhanced magnetic resonance imaging. Arthritis Rheum. 2003;48:1374–1384. doi: 10.1002/art.10934. [DOI] [PubMed] [Google Scholar]
- 26.Bratu VA, et al. Do patients with skin psoriasis show subclinical axial inflammation on MRI of the sacroiliac joints and entire spine? Arthritis Care Res. (Hoboken) 2019;71:1109–1118. doi: 10.1002/acr.23767. [DOI] [PubMed] [Google Scholar]
- 27.Kaçar C, Sezer I, Kocabaş H, et al. Sacroiliac joint involvement in psoriasis. Rheumatol. Int. 2010;30:1263–1266. doi: 10.1007/s00296-010-1440-3. [DOI] [PubMed] [Google Scholar]
- 28.Gladman DD. Clinical features and diagnostic considerations in psoriatic arthritis. Rheum. Dis. Clin. North Am. 2015;41:569–579. doi: 10.1016/j.rdc.2015.07.003. [DOI] [PubMed] [Google Scholar]
- 29.Chandran V, Tolusso DC, Cook RJ, Gladman DD. Risk factors for axial inflammatory arthritis in patients with psoriatic arthritis. J. Rheumatol. 2010;37:809–815. doi: 10.3899/jrheum.091059. [DOI] [PubMed] [Google Scholar]
- 30.Moshrif A, et al. (2017) Subclinical enthesopathy in patients with psoriasis and its association with other disease parameters: A power Doppler ultrasonographic study. Eur. J. Rheumatol. 2017;4:24–28. doi: 10.5152/eurjrheum.2017.16049. [DOI] [PMC free article] [PubMed] [Google Scholar]