Probiotic strains of lactobacilli are increasingly being used in clinical practice because of their many health benefits. Infections associated with probiotic strains of lactobacilli are extremely rare. We describe 2 patients who received probiotic lactobacilli and subsequently developed bacteremia and sepsis attributable to Lactobacillus species. Molecular DNA fingerprinting analysis showed that the Lactobacillus strain isolated from blood samples was indistinguishable from the probiotic strain ingested by the patients. This report indicates, for the first time, that invasive disease can be associated with probiotic lactobacilli. This report should not discourage the appropriate use of Lactobacillus or other probiotic agents but should serve as a reminder that these agents can cause invasive disease in certain populations.

Three consensus treatment plans were developed for pediatric patients with CNO refractory to NSAIDs and/or with active spinal lesions. Use of these CTPs will provide additional information on efficacy and will generate meaningful data for comparative effectiveness research in CNO.

Background Noninvasive estimation of the degree of inflammation seen on kidney biopsy with lupus nephritis (LN) remains difficult. The objective of this study was to develop a Renal Activity Index for Lupus (RAIL) that, based solely on laboratory measures, accurately reflects histological LN activity. Methods We assayed traditional LN laboratory tests and 16 urine biomarkers (UBMs) in children (n=47) at the time of kidney biopsy. Histological LN activity was measured by the NIH Activity Index (NIH-AI) and the Tubulointerstitial Activity Index (TIAI). High LN-activity status (vs. moderate/low) was defined as NIH-AI scores > 10 (vs. ≤ 10) or TIAI scores >5 (vs. ≤ 5). RAIL algorithms that predicted LN-activityNIH-AI and LN-activityTIAI status were derived by stepwise multivariate logistical regression, considering traditional biomarkers and UBMs as candidate components. The accuracy of the RAIL for discriminating by LN-activity status was determined. Results The differential excretion of six UBMs (NGAL, MCP-1, ceruloplasmin, adiponectin, hemopexin, KIM-1) standardized by urine creatinine was considered in the RAIL. These UBMs predicted LN-activityNIH-AI status with >92% accuracy and LN-activityTIAI status with >80% accuracy. RAIL accuracy was minimally influenced by concomitant LN damage. Accuracies between 71 and 85% were achieved without standardization of the UBMs. The strength of these UBMs to reflect LN-activity status was confirmed by principal component and linear discriminant analyses. Conclusion The RAIL is a robust and highly accurate noninvasive measure of LN-activity. The measurement properties of the RAIL, which reflect the degree of inflammatory changes as seen on kidney biopsy, will require independent validation.

Objective Develop response criteria for juvenile dermatomyositis (JDM). Methods We analyzed the performance of 312 definitions that used core set measures (CSM) from either the International Myositis Assessment and Clinical Studies Group (IMACS) or the Pediatric Rheumatology International Trials Organization (PRINTO) and were derived from natural history data and a conjoint-analysis survey. They were further validated in the PRINTO trial of prednisone alone compared to prednisone with methotrexate or cyclosporine and the Rituximab in Myositis trial. Experts considered 14 top-performing candidate criteria based on their performance characteristics and clinical face validity using nominal group technique at a consensus conference. Results Consensus was reached for a conjoint analysis–based continuous model with a Total Improvement Score of 0-100, using absolute percent change in CSM with thresholds for minimal (≥30 points), moderate (≥45), and major improvement (≥70). The same criteria were chosen for adult dermatomyositis/polymyositis with differing thresholds for improvement. The sensitivity and specificity were 89% and 91-98% for minimal, 92-94% and 94-99% for moderate, and 91-98% and 85-85% for major improvement, respectively, in JDM patient cohorts using the IMACS and PRINTO CSM. These criteria were validated in the PRINTO trial for differentiating between treatment arms for minimal and moderate improvement (P=0.009–0.057) and in the Rituximab trial for significantly differentiating the physician rating of improvement (P<0.006). Conclusion The response criteria for JDM was a conjoint analysis–based model using a continuous improvement score based on absolute percent change in CSM, with thresholds for minimal, moderate, and major improvement.

OBJECTIVES To characterize the epidemiology and clinical course of children with juvenile idiopathic arthritis-associated uveitis (JIA-U) in the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry and explore differences between African American (AA) and Non-Hispanic White (NHW) children. METHODS There were 3,967 NHW and AA children with JIA enrolled in the CARRA Registry. Demographic and disease-related data were collected from time of diagnosis to enrollment. Children with JIA alone were compared to those with JIA-U. Children with JIA-U were then compared by race. RESULTS Mean age of children with JIA-U was 11.4 years (±4.5), 76.9% were female and 2.8% were AA. Children with JIA-U were younger at arthritis onset, female, required more medications, had <5 joints involved, had oligoarticular JIA, and ANA (+), RF (−) and anti-CCP (−). AA children with JIA-U had decreased uveitis frequency, were older at arthritis onset and more frequently diagnosed with enthesitis-related JIA. Predictors of uveitis development include female gender, early age of arthritis onset, and oligoarticular persistent and extended JIA classification, whereas polyarticular RF-positive JIA was protective. CONCLUSIONS The prevalence of JIA-U in AA and NHW children is 11.6% in the CARRA registry. Known risk markers (ANA, age at arthritis onset, and oligoarticular JIA) were more frequent in our JIA-U cohort. AA children had a lower frequency of JIA-U. There were significant differences in age of arthritis onset and JIA subtype between NHW and AA children, although the ANA, RF and HLA-B27 were similar. Exploration of race as a risk factor should be considered.

BackgroundJuvenile idiopathic arthritis-associated uveitis (JIA-U) can lead to poor visual outcomes and impact a child’s quality of life (QOL) and function. Our aim is to identify risk markers of JIA-U and examine differences in the QOL of children with JIA and JIA-U.MethodsRheumatology and ophthalmology record reviews and questionnaires were completed every 4–6 months on 287 children with JIA. We collected arthritis, uveitis, and QOL data. We examined data through last study visit.ResultsThere were 52/287 (18 %) children with JIA-U who were younger at arthritis diagnosis, had oligoarticular persistent JIA, and ANA positive. Confirmed uveitis predictors were age at JIA diagnosis (OR = 0.86) and oligoarticular subtype (OR = 5.92). They had worse vision specific QOL and function, but similar general QOL. Blindness occurred in 17.5 % of children but was more common in African American children compared to non-Hispanic Caucasian children ((5/7 (71 %) vs. 2/29 (7 %), p <0.001) despite a similar uveitis prevalence (22 % vs. 16 %). Both races had similar complications, although band keratopathy was more frequent in African Americans (75 % vs. 15.6 %, p = 0.003).ConclusionsWe confirm young age at JIA diagnosis and the oligoarticular JIA subtype as predictors of uveitis development. Although we were unable to identify predictors of ocular complications or blindness, AA children appeared to have a more severe disease course manifested by increased ocular complications, vision loss and blindness. Potential causes that warrant additional study include underlying disease severity, access to medical care and referral bias. Further investigation of the risk factors for vision-compromising uveitis and its’ long-term effects should be conducted in a large racially diverse population.Electronic supplementary materialThe online version of this article (doi:10.1186/s12969-015-0018-8) contains supplementary material, which is available to authorized users.

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Serum S100 levels did not predict maintenance of CID or disease flare, with S100A12 levels only moderately correlating inversely with time to disease flare. This article is protected by copyright. All rights reserved.