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. Author manuscript; available in PMC: 2022 Apr 1.
Published in final edited form as: J Rheumatol. 2020 Jun 15;48(4):567–574. doi: 10.3899/jrheum.200230

Inflammatory Bowel Disease in Children with Systemic Juvenile Idiopathic Arthritis

Justine Maller 1, Emily Fox 2, KT Park 3, Sarah Sertial Paul 4, Kevin Baszis 5, Charlotte Borocco 6, Sampath Prahalad 7, Pierre Quartier 8, Adam Reinhardt 9, Dieneke Schonenberg-Meinema 10, Lauren Shipman 11, Maria Teresa Terreri 12, Julia Simard 13, Idit Lavi 14, Elizabeth Chalom 15, Joyce Hsu 16, Devy Zisman 17,*, Elizabeth D Mellins 18,*; CARRA Legacy Registry Investigators
PMCID: PMC7736056  NIHMSID: NIHMS1599334  PMID: 32541073

Abstract

Objective.

The incidence of inflammatory bowel disease (IBD) in juvenile idiopathic arthritis (JIA) is higher than in the general pediatric population. However, reports of IBD in the systemic JIA (sJIA) subtype are limited. We sought to characterize sJIA patients diagnosed with IBD and to identify potential contributing risk factors.

Methods.

Using an internationally distributed survey, we identified 16 sJIA patients who were subsequently diagnosed with IBD (sJIA-IBD cohort). 522 sJIA patients without IBD were identified from the CARRA Legacy Registry and served as the sJIA-only cohort for comparison. Differences in demographic, clinical characteristics and therapy were assessed using chi-square test, Fisher’s exact test, t-test, and univariate and multivariate logistic regression as appropriate.

Results.

75% of sJIA-IBD patients had a persistent sJIA course; 25% had a history of MAS. sJIA-IBD subjects were older at sJIA diagnosis, more often non-White, had a higher rate of IBD family history, and were more frequently treated with etanercept or canakinumab compared to sJIA-only subjects. 69% of sJIA-IBD patients successfully discontinued sJIA medications following IBD diagnosis, and sJIA symptoms resolved in 9/12 patients treated with TNF-α inhibitors.

Conclusions.

IBD in the setting of sJIA is a rare occurrence. The favorable response of sJIA symptoms to therapeutic TNF-α inhibition suggests that the sJIA-IBD cohort may represent a mechanistically distinct sJIA subgroup. Our study highlights the importance of maintaining a high level of suspicion for IBD when gastrointestinal involvement occurs in sJIA patients and the likely broad benefit of TNF-α inhibition in those cases.

Keywords: Systemic Juvenile Idiopathic Arthritis, Inflammatory Bowel Disease, Autoinflammation, Cytokine Inhibitors, Pediatric Rheumatology

Introduction

Systemic juvenile idiopathic arthritis (sJIA) is a chronic inflammatory disease of childhood, observed worldwide. sJIA represents 10-20% of all JIA cases in North America and Europe, where the annual incidence is 0.4-0.9/100,000 and prevalence is 3.5/100,000 (1). sJIA is characterized by the combination of arthritis with a constellation of extraarticular features, including daily fevers, lymphadenopathy, hepatosplenomegaly, serositis (pericarditis and pleuritis), evanescent macular rash, and laboratory evidence of systemic inflammation. In addition to the clinical features unique to this JIA subtype, the genetic architecture of sJIA is distinct from other forms of JIA, even in the ~30% of sJIA patients who develop persistent polyarthritis (2). Treatment response also differs in sJIA, with therapeutic IL-1 or IL-6 blockade effective in the majority of patients (35), whereas other forms of JIA with DMARD-refractory disease typically improve with TNF-α inhibition (6). These findings argue that the pathophysiologic mechanisms driving sJIA significantly diverge from those underlying other forms of JIA.

Among all JIA patients, more than one-third report chronic gastrointestinal symptoms without associated bleeding (7). This relatively common extraarticular complaint has prompted deeper investigation into the significance of such symptoms. Findings thus far indicate that patients with JIA have an increased risk of immune-related gastrointestinal involvement, including Crohn’s disease and ulcerative colitis. Indeed, inflammatory bowel disease (IBD) incidence in JIA patients, analyzed as a whole, ranges from 20 to >40 times the IBD rates in the general pediatric population (810). However, relatively few patients with sJIA were included in the earlier studies, limiting the ability to perform subgroup analyses focused on sJIA. Thus, still unanswered is whether the sJIA subtype has a unique relationship with IBD susceptibility. In addition to considering the potential impact of therapeutic IL-1 blockade—a treatment strategy unique to the systemic-onset form of JIA—on IBD development, this is an appealing hypothesis because features of innate immune dysfunction are associated with both sJIA and IBD (1113).

To gain further insight into the relationship between sJIA and IBD, we collected a case series of 16 patients with sJIA who later were diagnosed with IBD. Here, we describe the clinical findings and treatment courses of these patients. Additionally, we compare features of this sJIA-IBD cohort to a larger cohort of sJIA patients without IBD to identify candidate factors associated with IBD in sJIA.

Materials and Methods

After approval by our institutional review board (IRB Registration #00006208, protocol #31469), we distributed an online survey to all members of Childhood Arthritis and Rheumatology Research Alliance (CARRA), a North American network of pediatric rheumatologists, and the international pediatric rheumatology listserv administered by McMaster University in Ontario, Canada. Together these instruments reach a wide, international audience, although the precise number of recipients was not determined in this survey-based study. 16 cases of sJIA patients, subsequently diagnosed with IBD between 2004 and 2014, were reported. Diagnoses were assigned by the treating physicians.

Survey respondents provided de-identified data through an online platform (SurveyMonkey; www.surverymonkey.com). Information collected included demographic parameters (age at sJIA and IBD diagnoses, gender, ethnicity and race) and the following clinical data: physical manifestations and laboratory findings at sJIA and IBD presentation, medication regimen and therapy response prior to and following IBD diagnosis, type of IBD as reported by the treating physician based on endoscopic and histopathologic evaluation, family history of IBD in a first- or second-degree relative, sJIA disease activity status (flare or quiescent) within three months preceding IBD diagnosis, development of macrophage activation syndrome (MAS) at or following sJIA diagnosis, and type of sJIA course (monocyclic, polycyclic, or persistent; respondents were asked to indicate whether subjects with persistent sJIA had a systemic- or polyarthritis-predominant course).

The cohort identified in this study, termed sJIA-IBD, was compared to the CARRA Legacy Registry (14) cohort of sJIA patients without IBD, termed sJIA-only. The CARRA Legacy Registry is a convenience registry, enrolling patients at any time during their disease course. The sJIA-only cohort comprised 522 sJIA patients with known age of sJIA onset, who were enrolled in the registry between 2010-2013. The cohort included 150 patients who did not meet ILAR criteria but were categorized as sJIA by their physician (15). 3 registry patients were excluded from the sJIA-only cohort due to a coexisting diagnosis of IBD.

Statistics:

Continuous variables were summarized with mean ± standard deviation (SD) and categorical variables presented as frequencies and proportions. To examine the association between categorical demographic, clinical, and treatment variables and IBD in sJIA, we used chi-square test or Fisher’s exact test for small samples. To compare the age of sJIA onset and illness duration between the two groups, we used the t-test. Univariate logistic regression with odds ratio (OR) and 95% confidence intervals (CI) was performed to study the relationship between clinical and demographic parameters of sJIA-IBD to sJIA-only subjects. Statistically significant variables were then used in multivariate logistic regression modelling to further identify patient characteristics and therapeutics distinguishing the sJIA-IBD cohort from the sJIA-only cohort. All p-values were two-sided and statistical significance was defined as p≤0.05. The data were analyzed with IBM SPSS version 23.

Results

We identified 16 patients with sJIA who subsequently developed IBD (8 female, 8 male). Mean age at sJIA diagnosis was 9.9 ± 3.9 years (range 1.5 - 16.1 years) and mean age at IBD diagnosis was 12.9 ± 3.2 years (range 7.5 - 18.8 years). Disease characteristics of this sJIA-IBD cohort are shown in Table 1. The most common clinical manifestations at sJIA diagnosis were arthritis (100%), fever (94%), and rash (69%), latter two of which were specifically attributable to sJIA per the case reporter. 25% of the sJIA-IBD cohort experienced macrophage activation syndrome (MAS), half at the time of sJIA diagnosis and the other half later in the sJIA disease course, but prior to IBD diagnosis. 75% of sJIA-IBD patients had a persistent course of sJIA, with 4/12 reported as persistent systemic and 5/12 as persistent arthritic (this information was not available for the other 3 subjects with persistent disease).

TABLE 1.

sJIA- and IBD-related characteristics of the sJIA-IBD cohort (N=16).

sJIA features Number (%) IBD features Number (%)
Clinical manifestations at sJIA diagnosis Clinical manifestations at IBD diagnosis
 Arthritis 16 (100)  Diarrhea 12 (75)
 Fever attributed to sJIA 15* (94)  Abdominal pain 11 (69)
 Rash attributed to sJIA 11 (69)  Weight loss 10 (63)
 Lymphadenopathy 4 (25)  Arthritis 8 (50)
 Hepato/splenomegaly 3 (19)  Hematochezia 7 (44)
 Weight loss 3 (19)  Fever 6 (38)
 Serositis 2 (13)  Oral ulcers 2 (13)
Myositis 1 (6)  Perianal disease 2 (13)
Presence of MAS  Failure to thrive 1 (6)
 At sJIA diagnosis 2 (13) Vomiting 1 (6)
 During sJIA treatment 2 (13)  Rash attributed to IBD 0 (0)
Course of sJIA disease Specific IBD diagnosis
 Monocyclic 3 (19)  Crohn’s disease 13 (81)
 Polycyclic 1 (6)  Ulcerative colitis 0
 Persistent 12 (75)  Indeterminate colitis 3 (19)
Laboratory parameters Laboratory parameters
 Leukocytosis 9/13 (69)  Leukocytosis 5/15 (33)
 Anemia 10/14 (71)  Anemia 9/16 (56)
 Thrombocytosis 10/13 (77)  Thrombocytosis 9/15 (60)
 Elevated AST and/or ALT 3/12 (25)  Elevated AST and/or ALT 1/14 (7)
 Hypoalbuminemia 4/8 (50)  Hypoalbuminemia 8/14 (57)
 Elevated ESR 12/12 (100)  Elevated ESR 10/14 (71)
 Elevated CRP 12/12 (100)  Elevated CRP 11/15 (73)
 Elevated ferritin 8/10 (80)  Elevated stool calprotectin 4/6 (67)

Features shown were queried in the survey, except for the two in italics, which were specified as additional features by respondents. Data on laboratory values were missing for several patients; the denominator for each variable indicates the number of patients for whom a response was provided.

*

In one patient, with a recent history of fever, fever was likely masked by medication at sJIA diagnosis, per the case reporter.

No patients developed MAS following IBD diagnosis.

Of the subjects with persistent sJIA, 4 were described as systemic-predominant and 5 as polyarthritis-predominant courses, per case reporters who responded to this follow-up question.

AST, aspartate aminotransferase; ALT, alanine aminotransferase; ESR, estimated sedimentation rate; CRP, C-reactive protein.

The most common clinical features present at IBD diagnosis were diarrhea (75%), abdominal pain (69%), and weight loss (63%). 81% of IBD cases were diagnosed as Crohn’s disease, which is the most common form of IBD across all JIA subtypes (810); the remaining patients had indeterminate colitis. CRP and ESR were elevated in the majority of patients at both sJIA and IBD diagnoses. No significant differences in the frequency of abnormal laboratory parameters were observed at sJIA diagnosis compared to IBD diagnosis. At IBD diagnosis, the mean duration of sJIA was 3 years (SD ± 2.3 years, range 1 - 9.5 years). Within the three months prior to IBD diagnosis, 9 patients (56%) were considered to have active sJIA and the remaining 7 had quiescent disease. No respondent reported features suggestive of active systemic disease (e.g. quotidian fever, sJIA rash) at IBD diagnosis, although this was not specifically queried.

We compared treatment regimens of the sJIA-IBD cohort in the six months before IBD diagnosis to those used after (Figure 1). Not surprisingly, the frequency of TNF-α inhibitor use significantly increased following IBD diagnosis (5/16 vs. 12/16, p=0.03). In the six months prior to IBD diagnosis, all 5 patients on therapeutic TNF-α blockade were treated with etanercept (one of these also received adalimumab). In contrast, following IBD diagnosis, all 12 patients treated with TNF-α inhibition received adalimumab and/or infliximab. 9 of these patients were also treated with a conventional DMARD. Of the 8 patients treated with an IL-1 inhibitor prior to IBD diagnosis, only 1 remained on this treatment after IBD was diagnosed (p=0.02). 1 of the 2 patients treated with tocilizumab, an IL-6 inhibitor, remained on this drug following IBD diagnosis.

FIGURE 1. Medication regimens of the sJIA-IBD cohort before and after IBD diagnosis.

FIGURE 1.

Bars reflect the number of patients receiving one or more class-specific therapy in the six months before IBD diagnosis (black) and after (gray). DMARDs used before IBD diagnosis included the following (number of patients indicated in parentheses): cyclosporine (1), methotrexate (7), and tacrolimus (2); DMARDs after IBD diagnosis included methotrexate (5), sulfasalazine (2), and azathioprine (4). TNF-α inhibitors used before IBD diagnosis included adalimumab (1) and etanercept (5); TNF-α inhibitors after IBD diagnosis included adalimumab (4) and infliximab (10). IL-1 inhibitors used before IBD diagnosis included anakinra (2) and canakinumab (6); one patient remained on canakinumab after IBD diagnosis. IL-6 inhibitor was tocilizumab. 2 subjects were treated with mesalamine monotherapy after IBD diagnosis. Regimens in the 6 months before IBD diagnosis do not necessarily reflect medications initiated within this timeframe; data on specific timing and duration of therapy were not collected. DMARD, disease-modifying anti-rheumatic drug; NSAID, non-steroidal anti-inflammatory drug.

To identify potential factors influencing the development of IBD among sJIA patients, we compared the demographic, clinical, and treatment-related features of patients in the sJIA-IBD cohort to a larger sJIA-only cohort (N=522, see Materials and Methods) from the CARRA Legacy Registry (Table 2). In the sJIA-IBD cohort, the average age at sJIA diagnosis was significantly higher than that in the sJIA-only cohort (9.9 vs. 6 years, p=0.0005). The gender distribution among the two cohorts was not significantly different. However, there was a statistically significant difference in racial distribution (p=0.007), most likely reflecting the greater proportion of White patients in the sJIA-only cohort (82%) compared to the sJIA-IBD cohort (44%). There was no significant difference between the groups in terms of ethnicity or clinical manifestations at sJIA diagnosis. However, significantly more patients in the sJIA-IBD cohort had a family history of IBD compared to the sJIA-only cohort (19% vs. 0.8%, p=0.001).

TABLE 2.

Comparison of sJIA-IBD cohort (N=16) with sJIA-only cohort (N=522).

sJIA-IBD (% of cohort) sJIA-only (% of cohort) p-value
Age of sJIA onset
 Mean years ± SD 9.9 ± 3.9 6.0 ± 4.4 0.0005
 Age range 1.5 - 16.1 0.2 - 16.6
 Mean disease duration (years) 3.0 ± 2.3 4.6 ± 4.2 NS
Gender NS
 Female 8 (50) 295 (57)
 Male 8 (50) 227 (43)
Race 0.007
 White 7 (44) 425 (82)
 Black 2 (13) 54 (10)
 Native American 0 (0) 5 (1)
 Asian 2 (13) 18 (4)
 Hawaiian/Pacific Islander 0 (0) 1 (0.2)
 Other 3 (19) 14 (3)
 Unknown 2 (13) 5 (1)
Ethnicity NS
 Hispanic 1 (6) 70 (13)
 Non-Hispanic 15 (94) 452 (87)
Family history of IBD 3 (19) 4 (0.8) 0.001
Treatment history
 Steroids 13 (81) 441 (85) NS
 NSAIDs 13 (81) 252 (48) 0.011
 Methotrexate 10 (63) 365 (70) NS
 Tacrolimus 2 (13) 8 (2) 0.032
 Cyclosporine 2 (13) 51 (10) NS
 Tocilizumab 4 (25) 51 (10) NS
One or more TNF-α inhibitor 8 (50) 195 (37) NS
 Adalimumab 3 (19) 58 (11) NS
 Etanercept 6 (38) 150 (29) NS
 Infliximab 3 (19) 61 (12) NS
One or more IL-1 inhibitor 10 (63) 203 (39) NS
 Anakinra 8 (50) 197 (38) NS
 Canakinumab 6 (38) 13 (2) <0.0001

Treatment history includes medications used at any time in sJIA course (prior to IBD diagnosis for sJIA-IBD subjects). Italicized rows indicate the number of patients who received one or more class-specific biologic. NS, not significant (p>0.05); NSAIDs, non-steroidal anti-inflammatory drugs.

Table 2 also lists the medications used to treat sJIA any time in the disease course prior to IBD diagnosis. Relative to the sJIA-only cohort, we identified statistically significant differences in the proportion of patients treated with NSAIDs, tacrolimus, and canakinumab. 25% of the sJIA-IBD cohort received tocilizumab compared to 10% in the sJIA-only cohort, but this difference did not reach statistical significance (p=0.07).

To further identify candidate factors associated with the development of IBD in sJIA, we compared the sJIA-only and sJIA-IBD cohorts using multivariate logistic regression modelling. As shown in Table 3, this approach revealed that older age at sJIA diagnosis, family history of IBD, non-White origin, treatment with etanercept, and treatment with canakinumab were all statistically significant risk factors for IBD in sJIA patients.

TABLE 3.

Risk factors for development of IBD in sJIA patients: comparison of sJIA-IBD and sJIA-only cohorts.

Variable OR 95% CI p-value
Older age at sJIA diagnosis 1.26 1.07 - 1.48 0.007
Non-White origin 5.52 1.29 - 23.62 0.02
Family history of IBD 108.39 11.88 - 988.91 <0.0001
Etanercept 5.49 1.13 - 26.63 0.035
Canakinumab 217.22 27.92 - 1689.74 <0.0001

OR, odds ratio; CI, confidence interval.

sJIA-IBD subjects were followed for a median of 2.3 years (range 1 - 6 years), and all 16 patients were followed for at least one year, after IBD diagnosis. 1 (6%) had concurrent flares of sJIA and IBD, 3 (19%) experienced sJIA flare while IBD was quiescent, and 8 (50%) had IBD flare while sJIA was quiescent. 4 patients (25%) maintained quiescence of both diseases; all of these received a monoclonal antibody TNF-α inhibitor, and remained off sJIA-specific therapy, after IBD was diagnosed. 11 subjects (69%) were able to stop sJIA treatment after IBD diagnosis, and only 2 of these experienced a subsequent sJIA flare (one while IBD was quiescent and the other with an IBD flare). The one patient who remained on IL-1 inhibition after IBD diagnosis maintained sJIA quiescence but experienced an IBD flare on sulfasalazine; this resolved with addition of oral steroids to the treatment regimen. Overall, sJIA activity did not closely correlate with IBD onset or flare, or with discontinuation of IL-1 inhibitors. Interestingly, however, respondents noted that sJIA symptoms were effectively treated in 9/12 (75%) patients whose IBD was treated with monoclonal antibody TNF-α inhibitors.

Discussion

Here we present 16 patients with sJIA who subsequently developed IBD. To our knowledge, this is the largest case series to date describing IBD in sJIA. In the only other case series examining IBD specifically in sJIA, IBD was diagnosed in 3 of 82 sJIA patients at a single center (16). 2 of the 3 patients had Crohn’s disease, which is comparable to our cohort (81% Crohn’s disease) and the predominant pathology observed in other studies of IBD in JIA. Notably, IBD-related arthritis is twice as likely in Crohn’s disease, compared to ulcerative colitis (17). Also similar to our cohort, the 3 sJIA patients in the single-center cohort were older at sJIA diagnosis (with mean age 12.5 years) compared to the more common younger age of sJIA onset (18,19). Interestingly, the majority of childhood-onset IBD is diagnosed in adolescence (20). Significantly fewer patients in the sJIA-IBD cohort were White, compared to the sJIA-only cohort. Overall, for the variables we collected, the demographic features of the sJIA-IBD cohort are similar to IBD worldwide (21). 19% of the sJIA-IBD cohort had a family history of IBD, which was significantly higher than in the sJIA-only cohort, and consistent with prior reports that up to 20% of pediatric IBD patients have an affected relative (20).

Our study revealed several other factors that may contribute to the risk of IBD in sJIA. Comparisons with the sJIA-only cohort found that etanercept treatment was associated with a significantly higher risk of IBD (OR 5.49, 95% CI=1.13-26.63, p=0.035). This is consistent with prior reports that have implicated etanercept as a risk factor for IBD in patients with all JIA subtypes (810). Similarly, in a nationwide cohort study of Danish patients with various autoimmune diseases, including rheumatoid arthritis, psoriasis, and psoriatic arthritis, investigators found that patients treated with etanercept, but not adalimumab or infliximab, had an increased risk of developing IBD during treatment (22). We suspect that physicians treating the sJIA-IBD subjects recognized this etanercept-specific association with IBD: prior to IBD diagnosis, the majority (75%) of patients treated with TNF-α inhibitors received etanercept. Once IBD diagnosis was established, however, either adalimumab or infliximab was chosen for 12/12 patients receiving TNF-α inhibition. The strong association of etanercept, but not the other TNF-α inhibitors, with IBD development may be explained by the fact that TNF-α inhibitors differ in their physiologic effects. Adalimumab and infliximab induce apoptosis in lamina propria T cells, whereas etanercept does not. In contrast, only etanercept can bind to and prolong the half-life of circulating TNF-α and can also increase levels of IFNɣ (2325).

More sJIA-IBD subjects were treated with IL-1 inhibitors compared to sJIA-only subjects (63% vs. 39%, p=0.07). This trend raises the possibility that therapeutic IL-1 blockade contributes to IBD development in sJIA. Our data show a statistically significant association of canakinumab and IBD in sJIA (OR 217.22, 95% CI=27.92-1689.74, p<0.0001), although not with anakinra. However, in the other case series describing IBD in sJIA, all 3 patients were receiving IL-1 inhibitors (2 with anakinra and 1 with canakinumab) when IBD symptoms developed (16). In a randomized clinical trial comparing response to one-month anakinra treatment versus placebo (n=12 sJIA patients per group), 1 patient in the anakinra treatment arm developed Crohn’s disease (26). Interestingly, IL-1 is thought to contribute to IBD pathogenesis. High levels of IL-1 are found in biopsies of IBD patients, and serum levels of the endogenous IL-1 inhibitor, IL-1RA, are elevated in patients with active IBD (27). A recent study demonstrated that IL-1RA-deficient mice, with elevated levels of IL-1α and IL-1β, spontaneously developed histologic features of IBD (28). A possible explanation for these apparent contradictions is that, in animal models of IBD, IL-1α and IL-1β play opposing roles, with IL-1α acting in a proinflammatory fashion, and IL-1β promoting healing and repair of colonic tissue (29). Anakinra, a recombinant form of IL-1RA, blocks the activity of both IL-1α and IL-1β, whereas canakinumab is a monoclonal antibody specifically targeting IL-1β. It is possible that either of these medications may alter the IL-1 signaling equilibrium required to maintain immune homeostasis within the gut.

The evolution of sJIA over time to a TH17-driven disease (30,31) may also contribute to IBD development (16), as TH17 cells are implicated in IBD (32). In a recent comparative analysis of gene regulation between IBD and JIA subtypes (sJIA, oligoarticular and polyarticular JIA), IBD most closely resembled sJIA (12). Patients with sJIA, ulcerative colitis, and Crohn’s disease significantly upregulated innate immunity gene expression compared to the other JIA subtypes, based on RNA-Seq analysis of whole blood. A rare mutation in LACC1, which encodes a central metabolic regulator for macrophages and other immune cells (33,34), was initially identified in monogenic forms of early-onset Crohn’s disease (35) and was later described in five consanguineous families with monogenic sJIA-like disease (36). Interestingly, LACC1 downregulates TNF and IL-17 production in mouse models of arthritis and inflammation, and LACC1-deficient mice have more severe colonic lesions compared to their wild-type counterparts (37). Further, in multiple studies, LACC1 single nucleotide polymorphisms represent strong genetic risk factors for Crohn’s disease, ulcerative colitis, and both systemic and non-systemic forms of JIA (3841).

Another possible biological overlap between sJIA and IBD in a subset of sJIA-IBD patients involves IFNɣ. 25% of the sJIA-IBD cohort had a history of overt MAS, a possible enrichment over the ~10% incidence of MAS reported in sJIA patients (42,43). Serum levels of IFNɣ and CXCL9, an IFNɣ-induced chemokine, are elevated in sJIA patients with MAS compared to sJIA patients without MAS (44), and IFNɣ is also strongly implicated in IBD pathogenesis (24,25).

Interestingly, sJIA symptoms resolved in 75% of the 12 sJIA-IBD subjects treated with TNF-α inhibitors for their IBD. This was an unexpected finding, as these medications do not typically confer improvement in sJIA (45). However, one study found that the small proportion of sJIA patients who favorably responded to anti-TNF therapy—11/45 (24%) of the subjects studied—had significantly less frequent systemic involvement at treatment initiation compared to the patients who did not achieve remission (18% vs. 56%, p=0.03) (46). In the sJIA-IBD cohort, 5/7 subjects discontinued IL-1 inhibition without sJIA flare, and no subject had an episode of MAS after IBD diagnosis. 75% of sJIA-IBD subjects had a persistent sJIA course, which is higher than the ~40% in reported sJIA cohorts (15,47,48). Though we were unable to ascertain further details for 3 of the 12 subjects with a persistent sJIA course, the collective data suggest relatively lower systemic disease activity in the sJIA-IBD cohort compared to patients with systemic feature–prominent sJIA. Taken together with the development of inflammatory bowel disease, these findings suggest unique biology in the sJIA-IBD cohort, possibly more akin to the chronic polyarthritis subset of sJIA patients (48), though clearly not as common (15). An alternative possibility is that sJIA-IBD subjects had a primary diagnosis of IBD that was initially misdiagnosed as sJIA, due to predominance of extraintestinal features and minimal gastrointestinal complaints. Indeed, 22% of pediatric IBD patients do present with extraintestinal complaints, such as arthritis and anemia, as the main initial features (20,49). However, arguing against this possibility, fever and rash, which have unique characteristics in sJIA (50), were described in 100% and 69% of the sJIA-IBD cohort, respectively, and were specifically attributed to sJIA at disease onset by case reporters.

There are several limitations to our study. The study is retrospective with small numbers. We did not collect data on timing or duration of therapy. These gaps in information limit our ability to analyze how these variables may influence susceptibility to IBD. However, in prior studies of IBD in JIA, therapy duration did not strongly correlate with IBD onset (810,16). The sJIA and IBD diagnoses were based on physician judgement, and our survey did not require that patients meet ILAR criteria for sJIA. The CARRA Legacy Registry included 150 patients who did not meet ILAR criteria but were categorized as sJIA by their physician (15). To be consistent in our comparisons, we included these subjects (together with 372 who met ILAR criteria) in the sJIA-only cohort. The CARRA Legacy sJIA-only cohort also matches our sJIA-IBD cohort for the time period during which cases occurred, providing a suitable group for comparison of medication use.

The true incidence of IBD in sJIA, and whether this incidence changes as sJIA treatment approaches evolve, will be of interest to determine. This information will have implications for the role of particular medications as triggers or contributors to pathogenesis. More work is also needed to better understand the biologic relationship between IBD and sJIA. More detailed clinical characterization, immunophenotyping, genetics, and responses to particular therapies may all shed light on this question.

As etanercept is associated with IBD development in all forms of JIA, preferential use of adalimumab or infliximab for active arthritis may be a prudent approach in JIA patients, especially for those with a family history of IBD. For sJIA patients who develop biopsy-proven IBD, a suggested strategy is discontinuation of IL-1 inhibitors and/or etanercept, consideration of treatment with other TNF-α inhibitors, and early collaboration with a gastroenterology specialist. Our findings on risk factors for IBD in sJIA patients will require confirmation in future studies, particularly as the size differences between the two cohorts limited the extent to which the odds ratio could be precisely determined. Nonetheless, our study highlights the importance of maintaining a high level of suspicion in sJIA patients with gastrointestinal symptoms so as not to miss the possibility of IBD.

Acknowledgement

We would like to thank all participants and hospital sites that recruited patients for the CARRA Registry. We also thank Rashmi Sinha for providing access and instruction for use of the SurveyMonkey website (www.surveymonkey.com) and Dr. Yuki Kimura for critical reading of the manuscript.

Sources of Support:

National Institutes of Health, USA (NIH grant T32AR050942-14) (JM)

Tashia and John Morgridge Endowed Postdoctoral Fellow Clinical Trainee Award, Stanford Maternal & Child Health Research Institute (JM)

The Marcus Foundation Inc., Atlanta, GA (SP)

Feldman Family Foundation Visiting Professors Program, Stanford University School of Medicine (DZ)

Arthritis Foundation Great Western Region Center of Excellence for Arthritis (EDM)

The Lucile Packard Foundation for Children’s Health (EDM)

The Childhood Arthritis and Rheumatology Research Alliance (CARRA) Legacy Registry was supported by a grant from National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institute of Health under award Number RC2AR058934. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The CARRA Legacy Registry was also supported by CARRA, Friends of CARRA, the Arthritis Foundation, and the Duke Clinical Research Institute.

Conflicts of Interest:

Research grants from Novartis and Codexis, Inc. (EDM)

Consultancies or speaking fees (<$10,000 USD) for Abbvie, BMS, Chugai-Roche, Lilly, Novartis, Novimmune and Swedish Orphan Biovitrum; participation on a data safety monitoring board for Sanofi (PQ); Novartis Macrophage Activation Syndrome Advisory Committee (SP)

Appendix 1.

The authors thank the following CARRA Registry site principal investigators and research coordinators: L. Abramson, E. Anderson, M. Andrew, N. Battle, M. Becker, H. Benham, T. Beukelman, J. Birmingham, P. Blier, A. Brown, H. Brunner, A. Cabrera, D. Canter, D. Carlton, B. Caruso, L. Ceracchio, E. Chalom, J. Chang, P. Charpentier, K. Clark, J. Dean, F. Dedeoglu, B. Feldman, P. Ferguson, M. Fox, K. Francis, M. Gervasini, D. Goldsmith, G. Gorton, B. Gottlieb, T. Graham, T. Griffin, H. Grosbein, S. Guppy, H. Haftel, D. Helfrich, G. Higgins, A. Hillard, J.R. Hollister, J. Hsu, A. Hudgins, C. Hung, A. Huttenlocher, N. Ilowite, A. Imlay, L. Imundo, C.J. Inman, J. Jaquith, R. Jerath, L. Jung, P. Kahn, A. Kapedani, D. Kingsbury, K. Klein, M. Klein-Gitelman, A. Kunkel, S. Lapidus, S. Layburn, T. Lehman, C. Lindsley, M. Macgregor-Hannah, M. Malloy, C. Mawhorter, D. McCurdy, K. Mims, N. Moorthy, D. Morus, E. Muscal, M. Natter, J. Olson, K. O’Neil, K. Onel, M. Orlando, J. Palmquist, M. Phillips, L. Ponder, S. Prahalad, M. Punaro, D. Puplava, S. Quinn, A. Quintero, C. Rabinovich, A. Reed, C. Reed, S. Ringold, M. Riordan, S. Roberson, A. Robinson, J. Rosette, D. Rothman, D. Russo, N. Ruth, K. Schikler, A. Sestak, B. Shaham, Y. Sherman, M. Simmons, N. Singer, S. Spalding, H. Stapp, R. Syed, E. Thomas, K. Torok, D. Trejo, J. Tress, W. Upton, R. Vehe, E. von Scheven, L. Walters, J. Weiss, P. Weiss, N. Welnick, A. White, J. Woo, J. Wootton, A. Yalcindag, C. Zapp, L. Zemel, and A. Zhu.

Contributor Information

Justine Maller, Department of Pediatrics, Division of Rheumatology, Stanford University School of Medicine.

Emily Fox, Department of Pediatrics, Division of Rheumatology, Stanford University School of Medicine; Department of Pediatrics, Division of Rheumatology, Children’s Mercy Hospital, University of Missouri–Kansas City.

KT Park, Department of Pediatrics, Division of Gastroenterology, Stanford University School of Medicine, Stanford, CA.

Sarah Sertial Paul, Department of Pediatrics, Goryeb Children’s Hospital, Morristown, NJ.

Kevin Baszis, Department of Pediatrics, Washington University School of Medicine, St Louis, MO.

Charlotte Borocco, Paris University, Imagine Institute and Pediatric Hematology-Immunology and Rheumatology Unit, Necker Hospital, Assistance Publique Hopitaux de Paris, Paris, France.

Sampath Prahalad, Department of Pediatrics and Department of Genetics, Emory University School of Medicine, Children’s Healthcare of Atlanta, Atlanta, GA.

Pierre Quartier, Paris University, Imagine Institute, RAISE Reference Centre and Pediatric Hematology-Immunology and Rheumatology Unit, Necker Hospital, Assistance Publique Hopitaux de Paris, Paris, France.

Adam Reinhardt, Department of Pediatrics, Boys Town National Research Hospital, Omaha, NE.

Dieneke Schonenberg-Meinema, Department of Pediatric Immunology, Rheumatology and Infectious Diseases, Amsterdam Universitair Medische Centra, Amsterdam, Netherlands.

Lauren Shipman, Department of Pediatrics, Division of Rheumatology, University of Alabama at Birmingham, Birmingham, AL.

Maria Teresa Terreri, Department of Pediatrics, Pediatric Rheumatology Unit, Universidade Federal de Sao Paulo, Sao Paulo, Brazil.

Julia Simard, Department of Health Research & Policy, Division of Epidemiology, and Department of Medicine, Division of Immunology & Rheumatology, Stanford University, Stanford, CA.

Idit Lavi, Department of Community Medicine and Epidemiology, Carmel Medical Center, Haifa, Israel.

Elizabeth Chalom, Department of Pediatrics, Saint Barnabas Medical Center, Livingston, NJ.

Joyce Hsu, Department of Pediatrics, Division of Allergy, Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA.

Devy Zisman, Carmel Medical Center, Rheumatology Unit, The Ruth and Bruce Rappaport Faculty of Medicine, Technion, Haifa, Israel.

Elizabeth D. Mellins, Department of Pediatrics, Division of Human Gene Therapy, Program in Immunology, Stanford University School of Medicine, Stanford, CA.

References

  • 1.Gurion R, Lehman TJA, Moorthy LN. Systemic arthritis in children: a review of clinical presentation and treatment. Int J Inflam 2012;2012:271569–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Ombrello MJ, Arthur VL, Remmers EF, Hinks A, Tachmazidou I, Grom AA, et al. Genetic architecture distinguishes systemic juvenile idiopathic arthritis from other forms of juvenile idiopathic arthritis: clinical and therapeutic implications. Ann Rheum Dis 2017;76:906–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Ruperto N, Brunner HI, Quartier P, Constantin T, Wulffraat N, Horneff G, et al. Two randomized trials of canakinumab in systemic juvenile idiopathic arthritis. N Engl J Med 2012;367:2396–406. [DOI] [PubMed] [Google Scholar]
  • 4.De Benedetti F, Brunner HI, Ruperto N, Kenwright A, Wright S, Calvo I, et al. Randomized trial of tocilizumab in systemic juvenile idiopathic arthritis. N Engl J Med 2012;367:2385–95. [DOI] [PubMed] [Google Scholar]
  • 5.Haar Ter NM, van Dijkhuizen EHP, Swart JF, van Royen-Kerkhof A, Idrissi El A, Leek AP, et al. Treat-to-target using first-line recombinant interleukin-1 receptor antagonist monotherapy in new-onset systemic juvenile idiopathic arthritis: results from a five year follow-up study. Arthritis Rheumatol 2019;71(7):1163–1173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Shenoi S, Wallace CA. Tumor necrosis factor inhibitors in the management of juvenile idiopathic arthritis: an evidence-based review. Paediatr Drugs 2010;12:367–77. [DOI] [PubMed] [Google Scholar]
  • 7.Weber P, Brune T, Ganser G, Zimmer KP. Gastrointestinal symptoms and permeability in patients with juvenile idiopathic arthritis. Clin Exp Rheumatol 2003;21:657–62. [PubMed] [Google Scholar]
  • 8.Dallocchio A, Canioni D, Ruemmele F, Duquesne A, Scoazec J-Y, Bouvier R, et al. Occurrence of inflammatory bowel disease during treatment of juvenile idiopathic arthritis with etanercept: a French retrospective study. Rheumatology 2010;49:1694–8. [DOI] [PubMed] [Google Scholar]
  • 9.van Dijken TD, Vastert SJ, Gerloni VM, Pontikaki I, Linnemann K, Girschick H, et al. Development of inflammatory bowel disease in patients with juvenile idiopathic arthritis treated with etanercept. J Rheumatol 2011;38:1441–6. [DOI] [PubMed] [Google Scholar]
  • 10.Barthel D, Ganser G, Kuester R-M, Onken N, Minden K, Girschick HJ, et al. Inflammatory Bowel Disease in Juvenile Idiopathic Arthritis Patients Treated with Biologics. J Rheumatol 2015;42:2160–5. [DOI] [PubMed] [Google Scholar]
  • 11.McGonagle D, Aziz A, Dickie LJ, McDermott MF. An Integrated Classification of Pediatric Inflammatory Diseases, Based on the Concepts of Autoinflammation and the Immunological Disease Continuum. Pediatr Res 2009;65:38–45. [DOI] [PubMed] [Google Scholar]
  • 12.Mo A, Marigorta UM, Arafat D, Chan LHK, Ponder L, Jang SR, et al. Disease-specific regulation of gene expression in a comparative analysis of juvenile idiopathic arthritis and inflammatory bowel disease. Genome Med 2018;10:48–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Kessel C, Hedrich CM, Foell D. Innately Adaptive or Truly Autoimmune: Is There Something Unique About Systemic Juvenile Idiopathic Arthritis? Arthritis Rheumatol 2020;72:210–9. [DOI] [PubMed] [Google Scholar]
  • 14.Beukelman T, Kimura Y, Ilowite NT, Mieszkalski K, Natter MD, Burrell G, et al. The new Childhood Arthritis and Rheumatology Research Alliance (CARRA) registry: design, rationale, and characteristics of patients enrolled in the first 12 months. Pediatr Rheumatol Online J 2017;15:30–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Janow G, Schanberg LE, Setoguchi S, Hasselblad V, Mellins ED, Schneider R, et al. The Systemic Juvenile Idiopathic Arthritis Cohort of the Childhood Arthritis and Rheumatology Research Alliance Registry: 2010-2013. J Rheumatol 2016;43:1755–62. [DOI] [PubMed] [Google Scholar]
  • 16.Hügle B, Speth F, Haas J-P. Inflammatory bowel disease following anti-interleukin-1-treatment in systemic juvenile idiopathic arthritis. Pediatr Rheumatol Online J 2017;15:16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Isene R, Bernklev T, H0ie O, Munkholm P, Tsianos E, Stockbrugger R, et al. Extraintestinal manifestations in Crohn’s disease and ulcerative colitis: results from a prospective, population-based European inception cohort. Scand J Gastroenterol 2015;50:300–5. [DOI] [PubMed] [Google Scholar]
  • 18.Ogilvie EM, Fife MS, Thompson SD, Twine N, Tsoras M, Moroldo M, et al. The −174G allele of the interleukin-6 gene confers susceptibility to systemic arthritis in children: A multicenter study using simplex and multiplex juvenile idiopathic arthritis families. Arthritis Rheum 2003;48:3202–6. [DOI] [PubMed] [Google Scholar]
  • 19.Klotsche J, Raab A, Niewerth M, Sengler C, Ganser G, Kallinich T, et al. Outcome and Trends in Treatment of Systemic Juvenile Idiopathic Arthritis in the German National Pediatric Rheumatologic Database, 2000–2013. Arthritis Rheumatol 2016;68:3023–34. [DOI] [PubMed] [Google Scholar]
  • 20.Rosen MJ, Dhawan A, Saeed SA. Inflammatory Bowel Disease in Children and Adolescents. JAMA Pediatr 2015;169:1053–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Ng SC, Shi HY, Hamidi N, Underwood FE, Tang W, Benchimol El, et al. Worldwide incidence and prevalence of inflammatory bowel disease in the 21st century: a systematic review of population-based studies. Lancet 2018;390:2769–78. [DOI] [PubMed] [Google Scholar]
  • 22.Korzenik J, Larsen MD, Nielsen J, Kjeldsen J, Norgard BM. Increased risk of developing Crohn’s disease or ulcerative colitis in 17 018 patients while under treatment with anti-TNFα agents, particularly etanercept, for autoimmune diseases other than inflammatory bowel disease. Aliment Pharmacol Ther 2019;50:289–94. [DOI] [PubMed] [Google Scholar]
  • 23.Fiorino G, Danese S, Pariente B, Allez M. Paradoxical immune-mediated inflammation in inflammatory bowel disease patients receiving anti-TNF-α agents. Autoimmun Rev 2014;13:15–9. [DOI] [PubMed] [Google Scholar]
  • 24.Neurath MF. Cytokines in inflammatory bowel disease. Nat Rev Immunol 2014;14:329–42. [DOI] [PubMed] [Google Scholar]
  • 25.Langer V, Vivi E, Regensburger D, Winkler TH, Waldner MJ, Rath T, et al. IFN-γ drives inflammatory bowel disease pathogenesis through VE-cadherin-directed vascular barrier disruption. J Clin Invest 2019;129:4691–707. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Guartier P, Allantaz F, Cimaz R, Pillet P, Messiaen C, Bardin C, et al. A multicentre, randomised, double-blind, placebo-controlled trial with the interleukin-1 receptor antagonist anakinra in patients with systemic-onset juvenile idiopathic arthritis (ANAJIS trial). Ann Rheum Dis 2011;70:747–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Kuboyama S Increased circulating levels of interleukin-1 receptor antagonist in patients with inflammatory bowel disease. Kurume Med J 1998;45:33–7. [DOI] [PubMed] [Google Scholar]
  • 28.Dosh RH, Jordan-Mahy N, Sammon C, Le Maitre C. Interleukin 1 is a key driver of inflammatory bowel disease-demonstration in a murine IL-1Ra knockout model. Oncotarget Impact Journals; 2019;10:3559–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.McEntee CP, Finlay CM, Lavelle EC. Divergent Roles for the IL-1 Family in Gastrointestinal Homeostasis and Inflammation. Front Immunol 2019; 10:1266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Mellins ED, Macaubas C, Grom AA. Pathogenesis of systemic juvenile idiopathic arthritis: some answers, more questions. Nat Rev Rheumatol 2011;7:416–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Henderson LA, Hoyt KJ, Lee PY, Rao DA, Jonsson AH, Nguyen JP, et al. Th17 reprogramming of T cells in systemic juvenile idiopathic arthritis. JCI Insight 2020;5:47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Jiang W, Su J, Zhang X, Cheng X, Zhou J, Shi R, et al. Elevated levels of Th17 cells and Th17-related cytokines are associated with disease activity in patients with inflammatory bowel disease. Inflamm Res 2014;63:943–50. [DOI] [PubMed] [Google Scholar]
  • 33.Assadi G, Vesterlund L, Bonfiglio F, Mazzurana L, Cordeddu L, Schepis D, et al. Functional Analyses of the Crohn’s Disease Risk Gene LACC1. PLoS ONE 2016;11:e0168276. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Cader MZ, Boroviak K, Zhang Q, Assadi G, Kempster SL, Sewell GW, et al. C13orf31 (FAMIN) is a central regulator of immunometabolic function. Nat Immunol 2016;17:1046–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Patel N, Mouzan El Ml, Al-Mayouf SM, Adly N, Mohamed JY, Mofarreh Al MA, et al. Study of Mendelian forms of Crohn’s disease in Saudi Arabia reveals novel risk loci and alleles. Gut 2014;63:1831–2. [DOI] [PubMed] [Google Scholar]
  • 36.Wakil SM, Monies DM, Abouelhoda M, Al-Tassan N, Al-Dusery H, Naim EA, et al. Association of a mutation in l_ACC1 with a monogenic form of systemic juvenile idiopathic arthritis. Arthritis Rheumatol 2015;67:288–95. [DOI] [PubMed] [Google Scholar]
  • 37.Skon-Hegg C, Zhang J, Wu X, Sagolla M, Ota N, Wuster A, et al. LACC1 Regulates TNF and IL-17 in Mouse Models of Arthritis and Inflammation. J Immunol 2019;202:183–93. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Franke A, McGovern DPB, Barrett JC, Wang K, Radford-Smith GL, Ahmad T, et al. Genome-wide meta-analysis increases to 71 the number of confirmed Crohn’s disease susceptibility loci. Nat Genet 2010;42:1118–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Jostins L, Ripke S, Weersma RK, Duerr RH, McGovern DP, Hui KY, et al. Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease. Nature 2012;491:119–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Liu JZ, van Sommeren S, Huang H, Ng SC, Alberts R, Takahashi A, et al. Association analyses identify 38 susceptibility loci for inflammatory bowel disease and highlight shared genetic risk across populations. Nat Genet 2015;47:979–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Assadi G, Saleh R, Hadizadeh F, Vesterlund L, Bonfiglio F, Halfvarson J, et al. LACC1 polymorphisms in inflammatory bowel disease and juvenile idiopathic arthritis. Genes Immun 2016;17:261–4. [DOI] [PubMed] [Google Scholar]
  • 42.Behrens EM, Beukelman T, Paessler M, Cron RQ. Occult macrophage activation syndrome in patients with systemic juvenile idiopathic arthritis. J Rheumatol 2007;34:1133–8. [PubMed] [Google Scholar]
  • 43.Ravelli A, Grom AA, Behrens EM, Cron RQ. Macrophage activation syndrome as part of systemic juvenile idiopathic arthritis: diagnosis, genetics, pathophysiology and treatment. Genes Immun 2012;13:289–98. [DOI] [PubMed] [Google Scholar]
  • 44.Bracaglia C, de Graaf K, Pires Marafon D, Guilhot F, Ferlin W, Prencipe G, et al. Elevated circulating levels of interferon-γ and interferon-Y-induced chemokines characterise patients with macrophage activation syndrome complicating systemic juvenile idiopathic arthritis. Ann Rheum Dis 2017;76:166–72. [DOI] [PubMed] [Google Scholar]
  • 45.Kimura Y, Pinho P, Walco G, Higgins G, Hummell D, Szer I, et al. Etanercept treatment in patients with refractory systemic onset juvenile rheumatoid arthritis. J Rheumatol 2005;32:935–42. [PubMed] [Google Scholar]
  • 46.Russo RAG, Katsicas MM. Clinical remission in patients with systemic juvenile idiopathic arthritis treated with anti-tumor necrosis factor agents. J Rheumatol 2009;36:1078–82. [DOI] [PubMed] [Google Scholar]
  • 47.Lovell DJ, Passo M, Giannini E, Brunner H. Systemic onset juvenile idiopathic arthritis: a retrospective study of 80 consecutive patients followed for 10 years. J Rheumatol 2001;28:220. [PubMed] [Google Scholar]
  • 48.Singh-Grewal D, Schneider R, Bayer N, Feldman BM. Predictors of disease course and remission in systemic juvenile idiopathic arthritis: significance of early clinical and laboratory features. Arthritis Rheum 2006;54:1595–601. [DOI] [PubMed] [Google Scholar]
  • 49.Griffiths AM. Specificities of inflammatory bowel disease in childhood. Best Pract Res Clin Gastroenterol 2004;18:509–23. [DOI] [PubMed] [Google Scholar]
  • 50.Petty RE, Southwood TR, Manners P, Baum J, Glass DN, Goldenberg J, et al. International League of Associations for Rheumatology classification of juvenile idiopathic arthritis: second revision, Edmonton, 2001. J Rheumatol 2004;31:390–2. [PubMed] [Google Scholar]

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