Posttraumatic Stress Disorder and Risk of Systemic Lupus Erythematosus Among Medicaid Recipients.

OBJECTIVE: We studied posttraumatic stress disorder (PTSD), a severe trauma-related mental disorder, and systemic lupus erythematosus (SLE) risk in a large, diverse population enrolled in Medicaid, a US government-sponsored health insurance program for low-income individuals. METHODS: We identified SLE cases and controls among patients ages 18-65 years enrolled in Medicaid for ≥12 months in the 29 most populated US states from 2007 to 2010. SLE and PTSD case statuses were defined based on validated patterns of International Classification of Diseases, Ninth Revision codes. Index date was the date of the first SLE code. Controls had no SLE codes but had another inpatient or outpatient code on the index date and were matched 1:10 to cases by age, sex, and race. Conditional logistic regressions calculated odds ratios (ORs) and 95% confidence intervals (95% CIs) for the association of PTSD with incident SLE, adjusting for smoking, obesity, oral contraceptive use, and other covariates. RESULTS: A total of 10,942 incident SLE cases were matched to 109,420 controls. The prevalence of PTSD was higher in SLE cases, at 10.74 cases of PTSD per 1,000 person-years (95% CI 9.37-12.31) versus 7.83 cases (95% CI 7.42-8.27) in controls. The multivariable-adjusted OR for SLE among those with PTSD was 2.00 (95% CI 1.64-2.46). CONCLUSION: In this large, racially and sociodemographically diverse US population, we found patients with a prior PTSD diagnosis had twice the odds of a subsequent diagnosis of SLE. Studies are necessary to clarify the mechanisms driving the observed association and to inform possible interventions.

Adenosine deaminase 2 as a biomarker of macrophage activation syndrome in systemic juvenile idiopathic arthritis.

OBJECTIVE: Macrophage activation syndrome (MAS) is a life-threatening complication of systemic juvenile idiopathic arthritis (sJIA) characterised by a vicious cycle of immune amplification that can culminate in overwhelming inflammation and multiorgan failure. The clinical features of MAS overlap with those of active sJIA, complicating early diagnosis and treatment. We evaluated adenosine deaminase 2 (ADA2), a protein of unknown function released principally by monocytes and macrophages, as a novel biomarker of MAS. METHODS: We established age-based normal ranges of peripheral blood ADA2 activity in 324 healthy children and adults. We compared these ranges with 173 children with inflammatory and immune-mediated diseases, including systemic and non-systemic JIA, Kawasaki disease, paediatric systemic lupus erythematosus and juvenile dermatomyositis. RESULTS: ADA2 elevation beyond the upper limit of normal in children was largely restricted to sJIA with concomitant MAS, a finding confirmed in a validation cohort of sJIA patients with inactive disease, active sJIA without MAS or sJIA with MAS. ADA2 activity strongly correlated with MAS biomarkers including ferritin, interleukin (IL)-18 and the interferon (IFN)-γ-inducible chemokine CXCL9 but displayed minimal association with the inflammatory markers C reactive protein and erythrocyte sedimentation rate. Correspondingly, ADA2 paralleled disease activity based on serial measurements in patients with recurrent MAS episodes. IL-18 and IFN-γ elicited ADA2 production by peripheral blood mononuclear cells, and ADA2 was abundant in MAS haemophagocytes. CONCLUSIONS: These findings collectively identify the utility of plasma ADA2 activity as a biomarker of MAS and lend further support to a pivotal role of macrophage activation in this condition.

Older Adults' Recognition of Trade-Offs in Healthcare Decision-Making.

OBJECTIVES: To examine older persons' understanding of healthcare decision-making involving trade-offs. DESIGN: Cross-sectional survey. SETTING: Primary care clinics. PARTICIPANTS: Community-living persons aged 65 and older (N = 50). MEASUREMENTS: After being primed to think about trade-offs with a focus on chronic disease management, participants were asked to describe a decision they had made in the past involving a trade-off. If they could not, they were asked to describe a decision they might face in the future and were then given an example of a decision. They were also asked about communication with their primary care provider about their priorities when faced with a trade-off. RESULTS: Forty-four participants (88%) were able to describe a healthcare decision involving a trade-off; 25 provided a decision in the past, 17 provided a decision they might face in the future, and two provided a future decision after hearing an example. One participant described a nonmedical decision, and two participants described goals without providing a trade-off. Of the healthcare decisions, 26 involved surgery, seven were end-of life decisions, seven involved treatment of chronic disease, and four involved chemotherapy. When asked whether their providers should know their health outcome priorities, 44 (88%) replied yes, and 35 (70%) believed their providers knew their priorities, but only 18 (36%) said that they had had a specific conversation about priorities. CONCLUSION: The majority of participants were able to recognize the trade-offs involved in healthcare decision-making and wanted their providers to know their priorities regarding the trade-offs. Despite being primed to think about the trade-offs involved in day-to-day treatment of chronic disease, participants most frequently described episodic, high-stakes decisions including surgery and end-of-life care.