Myeloid-derived suppressor cells and T cell populations in children with Multisystem Inflammatory Syndrome.

BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) represents a hyperinflammatory state that can result in multi-organ dysfunction and death. Myeloid-derived suppressor cells (MDSC) are an immunosuppressive cell population that expands under inflammatory conditions and suppresses T cell function. We hypothesized that MDSC would be increased in children with MIS-C and that MDSC expansion would be associated with T cell lymphopenia. METHODS: We conducted a prospective, observational study. Initial blood samples were collected within 48 h of admission. Age-matched healthy controls underwent sampling once. MDSC and T cell populations were identified by flow cytometric methods. RESULTS: We enrolled 22 children with MIS-C (12 ICU, 10 ward) and 21 healthy controls (HC). Children with MIS-C demonstrated significantly higher MDSC compared to HC, and MDSC expansion persisted for >3 weeks in the ICU group. Children with MIS-C admitted to the ICU demonstrated significantly lower absolute numbers of T cells and natural killer cells. There were no significant associations between MDSC and cardiac dysfunction, duration of hospitalization, or vasoactive inotrope score. CONCLUSIONS: Our study suggests that children critically ill with MIS-C have expansion of MDSC and associated decreased T cell and NK cell populations. Our results did not demonstrate associations between MDSC and clinical outcomes. IMPACT: Multisystem inflammatory syndrome in children (MIS-C) is a dysregulated immune response occurring several weeks after SARS-CoV-2 infection that can result in multi-organ dysfunction and death. Children severely ill with MIS-C demonstrated increased myeloid-derived suppressor cells and decreased absolute numbers of CD4+ and CD8 + T cells and NK cells compared to healthy controls. There was no significant association between MDSC numbers and clinical outcomes; including cardiac dysfunction, length of stay, or requirement of vasoactive support, in children with MIS-C.

Referral Patterns and Diagnostic Concordance in Pediatric Skin Disorders.

IMPORTANCE: This study explores referral patterns in pediatric dermatology and assesses the diagnostic concordance between referring and dermatology providers. METHOD: This retrospective cross-sectional study utilized referrals to an outpatient pediatric dermatology clinic. The review included patients referred between July 1, 2018 and June 30, 2019. Only patients who completed a clinic visit were included in the diagnostic concordance. Referral and first visit diagnoses were compared to determine concordance. RESULTS: A total of 8,682 charts were reviewed, and 3,738 completed a clinic visit. The most common referral diagnoses included atopic dermatitis, rash, lesion, melanocytic nevus, and warts. Physicians (78.5%) and APRNs (18.1%) most frequently referred patients. The diagnostic concordance of physicians was 67.1% vs 66.3% for APRNs. CONCLUSION: Physicians and APRNs showed similar rates of diagnostic concordance, yet a large proportion of diagnoses were discordant. Primary care providers may benefit from focused education around the most commonly referred and missed diagnoses.

Quality Improvement to Eliminate Disparities in Developmental Screening for Patients Needing Interpreters.

Children from households with a preferred language other than English are less likely to receive timely identification and treatment for developmental delay than children of native English speakers. In dismantling this inequity, the role of primary care pediatrics is to establish equitable systems for screening and referral. This project, conducted in a network of twelve pediatric primary care centers, focused on eliminating a small but systematic disparity in developmental screening rates between families who did and did not require interpreters (86% versus 92%). The specific aim was to increase developmental screen completion among patients needing interpreters from 86% to 92% of age-appropriate well-child visits. Methods: Data were extracted from the electronic health record (EHR) to measure the proportion of 9-, 18-, 24-, and 30-month well-child visits at which developmental screens were completed, stratified by interpreter need (n = 31,461 visits; 7500 needing interpreters). One primary care center tested small changes to standardize processes, eliminate workarounds, and leverage EHR features using the Institute for Healthcare Improvement's Model for Improvement. The QI team plotted screen completion on control charts and spread successful changes to all 12 clinics. Statistical process control evaluated the significance of changes in screening rates. Results: For patients needing interpreters, screen completion rose across all clinics from 86% to 93% when the clinics implemented the new process. Screen completion for patients not needing interpreters remained at 92%. Conclusion: A standardized process supported by the EHR improved developmental screening among patients needing interpreters, eliminating disparities.