Cross-sectional characteristics of pediatric-onset discoid lupus erythematosus: Results of a multicenter, retrospective cohort study.

BACKGROUND: The incidence of systemic lupus in children with discoid lupus is unknown. OBJECTIVE: This study assessed the baseline characteristics of patients with pediatric discoid lupus erythematosus (pDLE). METHODS: Medical records at 17 sites were reviewed for pediatric dermatology and rheumatology patients with discoid lupus erythematosus. The inclusion criteria were clinical and/or histopathologic diagnosis of discoid lupus erythematosus with an age at onset of <18 years. Baseline data were collected at the first documented visit. Outcomes included diagnosis of systemic lupus erythematosus (SLE) at the baseline visit using the 1997 American College of Rheumatology (primary) and the 2012 Systemic Lupus International Collaborating Clinics (secondary) criteria. RESULTS: Of the >1500 charts reviewed, 438 patients met the inclusion criteria. The cohort was predominantly female (72%) and racially/ethnically diverse. A diagnosis of SLE at the baseline visit (pDLE + SLE) was rendered in 162 (37%) patients using the American College of Rheumatology and in 181 (41%) patients using the Systemic Lupus International Collaborating Clinics criteria. Patients with pDLE + SLE were older at the time of rash onset (median, 12.9 vs 8.9 years; P < .001), with shorter time from discoid lupus erythematosus onset to diagnosis, compared with patients with pDLE-only (median, 2 vs 7 months; P < .001). Patients with pDLE + SLE were more likely to be female (P = .004), with generalized discoid lupus erythematosus and clinically aggressive disease, including end-organ involvement, positive serologies, and higher- titer levels of antinuclear antibodies (P < .001). LIMITATIONS: Retrospective study. CONCLUSION: A diagnosis of discoid lupus erythematosus in adolescence should prompt thorough screening for SLE.

Employment outcomes among survivors of common cancers: the Symptom Outcomes and Practice Patterns (SOAPP) study.

INTRODUCTION: Risk factors for employment difficulties after cancer diagnosis are incompletely understood, and interventions to improve post-cancer employment remain few. New targets for intervention are needed. METHODS: We assessed a cohort of 530 nonmetastatic cancer patients (aged ≤ 65 years, >6 months from diagnosis, off chemo- or radiotherapy) from the observational multi-site Symptom Outcomes and Practice Patterns study. Participants reported employment change, current employment, and symptoms. Groups were based on employment at survey (working full- or part-time versus not working) and whether there had been a change due to illness (yes versus no). The predictive power of symptom interference with work was evaluated for employment group (working stably versus no longer working). Race/ethnicity, gender, cancer type, therapy, and time since diagnosis were also assessed. Association between employment group and specific symptoms was examined. RESULTS: The cohort was largely non-Hispanic white (76 %), female (85 %), and diagnosed with breast cancer (75 %); 24 % reported a change in employment. On multivariable analysis, participants with at least moderate symptom interference were more likely to report no longer working than their less effected counterparts (odds ratio (OR) = 8.0, 95 % CI, 4.2-15.4), as were minority participants compared with their non-Hispanic white counterparts (OR = 3.2, 95 % CI, 1.8-5.6). Results from the multiple regression model indicated the combination of fatigue (OR = 2.3, 95 % CI, 1.1-4.7), distress (OR = 3.9, 95 % CI, 1.7-9.0), and dry mouth (OR = 2.6, 95 % CI, 1.1-6.2) together with race/ethnicity and time since diagnosis adequately accounted for employment group. CONCLUSIONS: Our findings support the hypothesis that residual symptom burden is related to post-cancer employment: Residual symptoms may be targets for intervention to improve work outcomes among cancer survivors. IMPLICATIONS FOR CANCER SURVIVORS: This analysis examines whether increased symptom burden is associated with a change to not working following a cancer diagnosis. We also examined individual symptoms to assess which symptoms were most strongly associated with not working after a cancer diagnosis. Our hope is that we will be able to use this information to both screen survivors post-active treatment as well as target high-risk symptoms for further and more aggressive intervention, in an attempt to improve post-cancer work outcomes.