Treatment with anakinra was associated with short-term improvements in large joint counts and laboratory parameters of active disease. Higher anakinra doses may be more efficacious in treating the systemic inflammatory response in systemic onset juvenile idiopathic arthritis patients. A subset of patients had periods of arthritis during treatment, and local side-effects were frequent. Our experience supports the continued use of interleukin-1 inhibition in systemic juvenile arthritis and the search for more effective and more tolerable forms of interleukin-1 inhibition.

Objectives Subtypes of juvenile idiopathic arthritis (JIA) share phenotypic features with other autoimmune disorders. We investigated several genetic variants associated with rheumatoid arthritis (RA) and other autoimmune disorders for association with JIA, to test the hypothesis that clinically distinct phenotypes share common genetic susceptibility factors. Methods Cases were 445 children with JIA, and controls were 643 healthy adults. Eight single nucleotide polymorphisms (SNPs) in 7 loci [TNFAIP3 (rs10499194 and rs6920220), RSBN1 (rs6679677), C12ORF30 (rs17696736), TRAF1 (rs3761847), IL2RA (rs2104286), PTPN2 (rs2542151), and STAT4 (rs7574865)] were genotyped by the TaqMan assay. Alleles and genotypes were analyzed for association with JIA and JIA subtypes. Odds ratios (OR) and 95% confidence intervals (95% CI) were calculated. Results The strongest associations were observed for TNFAIP3 variants rs10499194 (OR: 0.74 (0.61-0.91); p <0.004), and TNFAIP3 rs6920220 (OR: 1.3 (1.05-1.61); p <0.02). We also observed associations between JIA and STAT4 (OR: 1.24 (1.02-1.51); p <0.03) and C12ORF30 (OR: 1.2 (1.01-1.43); p <0.04) variants. The PTPN2 variant rs2542151 deviated from Hardy-Weinberg equilibrium and was excluded from analyses. Variants in IL2RA, TRAF1, and RSBN1 were not associated with JIA. After stratification by JIA subtype, TNFAIP3 and C12ORF30 variants were associated with oligoarticular JIA, while the STAT4 variant was associated primarily with polyarticular JIA. Conclusions We have demonstrated associations between JIA and variants in TNFAIP3, STAT4 and C12ORF30 regions that have previously shown associations with other autoimmune diseases, including RA and systemic lupus erythematosus. Our results suggest that clinically distinct autoimmune phenotypes share common genetic susceptibility factors.

Pressure injuries are key clinical indicators of care standard. In Australia, pressure injuries increase length of hospital stay by 4.31 and cost $285 million annually. This pilot study examined the effectiveness of sacral dressing in reducing the prevalence of pressure injuries in older, high-risk patients. A non randomised one-sample experimental design was used in this study comprising of four phases. Of the 51 patients recruited to the study, one patient developed a sacral pressure injury compared to six patients identified in a known group with similar demographics who were not approached to participate in the study. The results indicated that patients in the known group were 5.4 times more likely to develop a pressure injury than the intervention group. Findings suggest that applying a protective sacral dressing with a low shear backing as part of a simple standardised prevention injury prevention regime commencing in the Emergency Department was beneficial in the prevention of pressure injury in older 'at high risk' medical patients.

Objective. We previously demonstrated that there is familial aggregation of juvenile idiopathic arthritis (JIA). Using a large JIA cohort, we sought to identify additional clusters of JIA cases and to calculate robust estimates of the relative risk (RR) of JIA in the siblings and cousins of JIA probands. We also estimated the population attributable risk (PAR) of familial factors in JIA.Methods. A probabilistic record-linking analysis was performed by matching the records of 862 patients with JIA with the records of ϳ7 million individuals in the Utah Population Database (UPDB), a computerized genealogic database. For each patient, 5 control subjects matched for birth year and sex were selected from the UPDB. Specialized software was used to test for familial aggregation of disease, to estimate the magnitude of familial risks, and to identify families at high risk of disease.Results. We identified 22 founders who had significantly more descendants with JIA than expected (5-13 descendants; P values ranged from <0.0001 to <0.008). The PAR of familial factors for JIA was ϳ13%. The RR of JIA in the siblings of patients was significantly increased (11.6, 95% confidence interval [95% CI] 4.9-27.5, P < 2.59 ؋ 10 ؊8 ). The RR of JIA in first cousins was also increased (5.82, 95% CI 2.5-13.8, P < 6.07 ؋ 10 ؊5 ).Conclusion. We have identified the largest sets of JIA pedigrees described to date. Approximately 13% of cases of JIA can be attributed to familial factors. Siblings and first cousins of probands with JIA have an increased risk of JIA. The observed decline in the magnitude of risk between siblings and cousins suggests that JIA is influenced by shared genetic factors.

Serum levels of sCD154, IL1beta, IL6, IL8, sIL2R and TNFalpha are elevated in most JIA subtypes, suggesting a major role for sCD154, and these cytokines and cytokine receptors in the pathogenesis of JIA.