Background
Non-infectious juvenile uveitis is an inflammatory ocular disease that can lead to visual disability if not adequately controlled. Uveitis occurs as a primary disease (idiopathic uveitis) but can also be associated with systemic disease, typically juvenile idiopathic arthritis (JIA). In the pediatric population, uveitis remains a diagnostic challenge because children may not report symptoms until substantial visual damage has accrued. Rapid and effective control of the disease is essential because prolonged ocular inflammation is associated with higher rates of ocular complications and vision loss [
1‐
3]. Unfortunately, there is no uniform approach to the evaluation and treatment of juvenile uveitis. In part, the lack of standardization is due to the limited number of clinical studies in this condition. Current treatment strategies for juvenile uveitis are mostly extrapolated from small, retrospective case series and there have been no randomized controlled trials in this patient population. In addition, few studies have examined treatment practice patterns in the care of juvenile uveitis, and these patterns may also vary between pediatric rheumatology and ophthalmology providers. Improved understanding of current practice may help inform future decisions regarding optimal care of these patients.
Glucocorticoids (oral and/or topical) are often the first step in treatment of anterior, non-infectious uveitis in children but long term use is discouraged due to side effects [
4,
5]. Methotrexate is the most commonly prescribed steroid-sparing medication, and its therapeutic efficacy has been documented in several small case series [
4,
6‐
10]. Methotrexate can be given either orally or subcutaneously. Subcutaneous administration has greater bioavailability compared to oral, which can be quite variable [
11,
12]. However, for many patients, especially children, oral dosing is preferred. Other disease-modifying anti-rheumatic drugs (DMARDs) such as cyclosporine, tacrolimus, azathioprine, and mycophenolate mofetil are also used to treat uveitis, although most published reports have focused on adult, rather than pediatric, patients [
13‐
23]. More recently, reports describe successful use of the TNF inhibitors infliximab and adalimumab in both JIA-associated and idiopathic uveitis [
24‐
27]. In refractory cases of JIA associated uveitis, tociluzumab, abatacept, and rituximab have also been used [
28‐
30].
Several groups have proposed guidelines for the treatment of JIA-associated uveitis based on literature review and expert opinion [
31‐
33]. There is consensus among these treatment guidelines that topical steroids should be used first, followed by methotrexate for refractory disease. However, they differ in their recommendations on the use of systemic glucocorticoids, preferred route of methotrexate administration, and choice of second-line steroids sparing agents. Further, they have not yet been validated prospectively and it is unknown how closely providers adhere to these recommendations.
Comparative effectiveness research (CER) represents an alternative approach to the establishment of treatment guidelines by expert opinion. CER methodologies are well suited to study diseases such as juvenile uveitis that are relatively uncommon, making randomized controlled trials with large cohorts less feasible [
34,
35]. Consensus Treatment Plans (CTPs), in which patients are treated according to one of several algorithms, are intended to help standardize care, while at the same time collecting information on outcomes that will allow comparison of different treatment practices. The implementation of CTPs and subsequent analysis of outcome data represent a form of CER. This approach has been trialed for multiple pediatric rheumatologic conditions, though not juvenile uveitis [
36‐
39].
In this study, we examined data from CARRAnet, a large registry of North American pediatric rheumatology patients, in order to characterize current practice patterns in the treatment of juvenile uveitis. Better understanding of the factors influencing selection of steroid-sparing medications is necessary to inform the development of standardized treatment regimens and CTPs.
Methods
CARRAnet registry
CARRAnet was developed by the Childhood Arthritis and Rheumatology Research Alliance (CARRA) and is a multicenter registry of children with rare pediatric rheumatologic conditions (“CARRA registry” on
https://clinicaltrials.gov). Over 50 pediatric rheumatology research centers in the United States and Canada have enrolled over 9000 children into the registry since its inception. Children were eligible to participate if they had 1 of 12 specified rheumatologic diseases that were being studied in the registry. The primary diagnosis at enrollment was determined by the child’s treating rheumatologist. The registry opened with recruitment of children with JIA in May 2010; recruitment of children idiopathic uveitis began in February 2012, at which time collection of detailed information on uveitis presentation and treatment was also introduced to the registry. Demographic and clinical data, including information on prior medication use and disease complications, were gathered by family interview, medical record review, and/or provider recall and subsequently entered into a secure online database. Consent/assent was obtained from all study participants.
Uveitis data
After Institutional Review Board approval, we obtained de-identified enrollment data from children with JIA-associated and idiopathic uveitis who participated in the CARRA registry from June 2010 to September 2013. Although the registry was developed for prospective data collection, at the time of our inquiry, only data from a single, baseline registry enrollment visit was available for most patients. Data collected included uveitis type, number of affected eyes,duration of current episode (if active uveitis present), history of ocular complications, and current and prior medication use. Possible ocular complications listed included increased intraocular pressure, keratic precipitates, posterior synechiae, cataracts, macular edema, epiretinal membrane, snowbanks, snowballs, retinal vasculitis, macular atrophy, hypopyon, iris nodules, band keratopathy, and history of eye surgery. Information on topical therapies (steroid, mydriatic, and anti-glaucoma drops), systemic glucocorticoids, intra-ocular steroids, intravenous immunoglobulin, non-biologic disease-modifying antirheumatic drugs (DMARDs), and biologic agents were included in the registry. Long-term steroid use was defined as a history of systemic glucocorticoid treatment for > 1 month. Drug use was categorized as “current,” “past,” “never,” or “unknown.” For this analysis, “ever drug use” was defined as past and/or current use. Information on medication dose and dates of drug initiation/cessation were not included in the registry. Thus, while some longitudinal information regarding treatment could be inferred based on current and past use of medications, details such as duration of therapy were not available. For JIA patients, the indication for a systemic medication (arthritis vs. uveitis) was not recorded. Finally, data collection also included “ANA status,” where a positive response was defined as a history of testing positive for anti-nuclear antibody (ANA). Date of ANA testing was not included in the registry.
Statistical analysis
Demographic differences between JIA-associated and idiopathic uveitis groups were compared with Mann-Whitney U and chi-square tests. Univariate analysis was performed between first-use of oral MTX and subcutaneous MTX, and between biologic and non-biologic groups, using the Mann-Whitney U-test for median age and Fisher’s exact test for percentages. Multivariable logistic regression (backward selection) was applied to identify predictive factors, with the likelihood ratio test used to assess significance of the independent predictors [
40]. Odds ratios and 95 % confidence intervals (CI) were derived for significant multivariable predictors of route of MTX administration and for use of biologics.
In these univariate and multivariate analyses, Caucasian race included both Hispanic and non-Hispanic ethnicities. Due to the small number of subjects endorsing racial categories other than Caucasian/white and black/African American, racial categories were collapsed into Caucasian and non-Caucasian to allow sufficient patient numbers for statistical analysis. Statistical analysis was performed using IBM/SPSS Statistics (version 22.0, IBM, Armonk, NY). Two-tailed P < 0.05 were considered statistically significant.
Discussion
Optimization of care for children with uveitis remains a challenging goal without better comparative effectiveness studies. These types of studies are particularly challenging to conduct in children given the rarity of uveitis and the practical considerations regarding therapeutic trials in children. In this study, we sought to present a preliminary overview of current practice patterns in the treatment of pediatric uveitis, using a large North American patient registry. This analysis includes description of one of the largest cohorts of pediatric idiopathic uveitis patients published to date. A total of 26 contributing centers were represented within this cohort.
We first examined steroid use in these patients. Somewhat surprisingly, nearly all patients had been treated with systemic glucocorticoids; indeed, more patients reported using systemic glucocorticoids than topical steroids. About a third of patients reported long-term use of systemic glucocorticoids, and several patients had received intravenous glucocorticoid pulses. In contrast to the pattern of steroid use documented in our cohort of patients, published treatment guidelines for JIA-associated uveitis reserve systemic glucocorticoids for patients with severe ocular inflammation (grades 3+ or 4+) or impending vision loss [
31,
32]. The discrepancy between systemic glucocorticoid use in our cohort compared to the treatment guidelines may represent a point where current treatment practices deviate from expert opinion. It is possible that this deviation is due to differences in treatment approaches between idiopathic and JIA-associated uveitis. Alternatively, the high rate of systemic glucocorticoiduse in our cohort could be explained by higher disease severity, a possibility that is difficult to assess as the CARRAnet registry did not include information about grade of inflammation. However, the overall rate of ocular complications in our cohort (80 %) is within the range of prior reports in juvenile uveitis [
1,
2,
41].
The use of steroid-sparing medications in idiopathic uveitis was then evaluated. Most patients had received methotrexate, in either oral or subcutaneous form. Subcutaneous methotrexate has higher bioavailability than oral dosing, but use of subcutaneous methotrexate for initial therapy is not clearly standard among providers. We found that idiopathic uveitis patients in our study were evenly divided between oral and subcutaneous dosing. Univariate and multivariate analysis demonstrated that subcutaneous administration was used more frequently for non-Caucasians than Caucasians. A possible explanation could be that non-Caucasians had, or were at least perceived to have, more severe disease. However, other characteristics such as complication rate, age of onset, gender, and ANA status were not different between patients who were treated with oral versus subcutaneous methotrexate. There is limited literature on the role of race and ethnicity in juvenile uveitis. In one study of JIA-associated uveitis, African-American children tended to have worse physician global assessment scores [
42]. Another study has also suggested that African-American patients may have more severe disease [
43]. In contrast, white race was a predictor of remission in one study of JIA-associated uveitis, but race was not a factor affecting development of complications [
44]. Whether these findings are applicable to idiopathic uveitis patients is less clear. Other factors that may influence medication selection were not able to be captured in our study; these include patient preference, concerns about medication compliance, and regional availability of injectable methotrexate due to drug shortages [
45].
More than half of our idiopathic uveitis cohort received biologic therapy, all in the form of TNF inhibitors. Infliximab was used twice as frequently as adalimumab, which was interesting given that recent literature seems to have favored adalimumab over infliximab in some analyses [
46,
47]. One explanation for this may be the earlier availability of infliximab. However, our patients were first enrolled beginning in 2010; adalimumab use in juvenile uveitis was reported as early as 2006 [
48]. There were no racial differences between patients who had or had not received TNF inhibitor therapy. However, patients treated with TNF inhibitors were more likely to be ANA positive and to have cataracts, again suggesting that these patients either had, or were perceived to have, more severe disease. Unfortunately, the design of the registry did not allow the ability to capture whether ANA positivity and cataract development preceded or followed TNF inhibitor administration. Several studies have identified ANA positivity as a risk factor for ocular complications and visual acuity loss in JIA-associated uveitis; however, other studies have not replicated this finding [
2,
49‐
51]. There is, thus, no clear explanation of the association between ANA positivity and TNF inhibitor use in our cohort apart from the possible perception of increased disease severity.
Cataract development may be secondary to disease activity or chronic steroid use. In our cohort, patients with cataracts had higher frequencies of other ocular complications but similar rates of glucocorticoiduse compared to children without cataracts. Thus, differences in disease severity more likely explain the association between cataract development and the use of TNF inhibitors. Further understanding of this relationship is limited by the available data, which in this registry database did not specify the timing of TNF inhibitor initiation with regard to cataract formation.
Limitations
Although the size of our idiopathic uveitis pediatric cohort was relatively large, interpretation of the impact of specific medications on patient outcome is limited by the lack of follow up. This was a relatively early cross-sectional look at enrollment data, but collection of data from follow up visits remains ongoing. We hope that over time, further analyses will allow more detailed examination of the factors that influence the selection of medications, as well as their efficacy.
The CARRAnet database did not include data on the indication for medication use in JIA uveitis patients. Therefore, it was not possible to determine if a medication was used for active arthritis and/or uveitis. Thus, we limited the majority of our analysis to idiopathic uveitis patients. It is unclear if our findings are applicable to JIA uveitis patients, given the differences in race, gender, and ANA status in both groups which may be associated with differences in disease severity, and subsequently medication use. The database also did not collect information on medication dosage, which can also vary greatly from provider to provider and also influence the decision for whether to move on to another agent. Future iterations of this database will hopefully allow more granular analysis of medication dosage.
Finally, our cohort may be influenced by selection bias, as these patients were all under the care of a pediatric rheumatologist. Patients with milder disease may be managed solely by ophthalmologists without coming to the attention of a rheumatology provider.
Acknowledgements
We would also like to thank all participants and hospital sites that recruited patients for the CARRA Registry. 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. Jaqith, 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. Rossette, 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.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
LAH participated in conceptualization of the study, data organization, interpretation of results, and manuscript preparation. Statistical analysis was performed by DZ. The study design and manuscript preparation was overseen by MSL, with significant contributions and insight from SAH, CER, and AL. All authors read and approved the final manuscript.