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Pediatric acute-onset neuropsychiatric syndrome (PANS) and Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcal Infections (PANDAS), represent an overlapping group of disorders which is characterized by acute-onset obsessive compulsive disorders, eating restriction, tics, cognitive and behavioral deterioration which typically follows a relapsing-remitting course but some patients have a primary or secondary persistent progress. This condition is likely caused by heterogeneous inflammatory mechanisms (autoantibodies, complement activation, pro-inflammatory cytokine production) involving the basal ganglia as evidenced by imaging studies (patients vs. controls), sleep studies that found movements and/or atonia during REM sleep, and neurological soft signs that go along with basal ganglia dysfunction. The condition causes significant psychiatric and behavioral symptoms, caregiver burden and sleep abnormalities. Autoantibodies resulting from molecular mimicry of infectious agents (namely group A Streptococcus) and neuronal autoantigens that map to the basal ganglia play also a subtle role. This narrative review aims to describe the key immunological features documented thus far and that likely play a role in the pathogenesis and clinical manifestations of this disorder. [ABSTRACT FROM AUTHOR]

Postinfectious neuroinflammation has been implicated in multiple models of acute-onset obsessive-compulsive disorder including Sydenham chorea (SC), pediatric acute-onset neuropsychiatric syndrome (PANS), and pediatric autoimmune neuropsychiatric disorders associated with streptococcal infection (PANDAS). These conditions are associated with a range of autoantibodies which are thought to be triggered by infections, most notably group A streptococci (GAS). Based on animal models using huma sera, these autoantibodies are thought to cross-react with neural antigens in the basal ganglia and modulate neuronal activity and behavior. As is true for many childhood neuroinflammatory diseases and rheumatological diseases, SC, PANS, and PANDAS lack clinically available, rigorous diagnostic biomarkers and randomized clinical trials. In this review article, we outline the accumulating evidence supporting the role neuroinflammation plays in these disorders. We describe work with animal models including patient-derived anti-neuronal autoantibodies, and we outline imaging studies that show alterations in the basal ganglia. In addition, we present research on metabolites, which are helpful in deciphering functional phenotypes, and on the implication of sleep in these disorders. Finally, we encourage future researchers to collaborate across medical specialties (e.g., pediatrics, psychiatry, rheumatology, immunology, and infectious disease) in order to further research on clinical syndromes presenting with neuropsychiatric manifestations. [ABSTRACT FROM AUTHOR]

Pediatric acute-onset neuropsychiatric syndrome (PANS) is an abrupt-onset neuropsychiatric disorder. PANS patients have an increased prevalence of comorbid autoimmune illness, most commonly arthritis. In addition, an estimated one-third of PANS patients present with low serum C4 protein, suggesting decreased production or increased consumption of C4 protein. To test the possibility that copy number (CN) variation contributes to risk of PANS illness, we compared mean total C4A and total C4B CN in ethnically matched subjects from PANS DNA samples and controls (192 cases and 182 controls). Longitudinal data from the Stanford PANS cohort (n = 121) were used to assess whether the time to juvenile idiopathic arthritis (JIA) or autoimmune disease (AI) onset was a function of total C4A or C4B CN. Lastly, we performed several hypothesis-generating analyses to explore the correlation between individual C4 gene variants, sex, specific genotypes, and age of PANS onset. Although the mean total C4A or C4B CN did not differ in PANS compared to controls, PANS patients with low C4B CN were at increased risk for subsequent JIA diagnosis (hazard ratio = 2.7, p value = 0.004). We also observed a possible increase in risk for AI in PANS patients and a possible correlation between lower C4B and PANS age of onset. An association between rheumatoid arthritis and low C4B CN has been reported previously. However, patients with PANS develop different types of JIA: enthesitis-related arthritis, spondyloarthritis, and psoriatic arthritis. This suggests that C4B plays a role that spans these arthritis types. [ABSTRACT FROM AUTHOR]

Pediatric acute-onset neuropsychiatric syndrome (PANS), pediatric autoimmune neuropsychiatric disorder associated with streptococcal infections, Sydenham chorea, and other postinfectious psychiatric deteriorations are thought to be caused by inflammatory/autoimmune mechanisms, likely involving the basal ganglia based on imaging studies. Patients have a relapsing-remitting course and some develop severe refractory psychiatric disease. We found that 55/193 (28%) of consecutive patients meeting PANS criteria developed chronic arthritis and 25/121 (21%) of those with related psychiatric deteriorations developed chronic arthritis. Here we describe 7 of these patients in detail and one sibling. Many of our patients often have "dry" arthritis (no effusions found on physical exam) but subtle effusions detected by imaging and features of spondyloarthritis, enthesitis, and synovitis. Joint capsule thickening, not previously reported in children, is a common finding in the presented cases and in psoriatic arthritis in adults. Due to the severity of psychiatric symptoms in some cases, which often overshadow joint symptoms, and concomitant sensory dysregulation (making the physical exam unreliable in the absence of effusions), we rely on imaging to improve sensitivity and specificity of the arthritis classification. We also report the immunomodulatory treatments of these 7 patients (initially nonsteroidal anti-inflammatory drugs and disease-modifying antirheumatic drugs with escalation to biologic medications) and note any coincidental changes to their arthritis and psychiatric symptoms while on immunomodulation. Patients with overlapping psychiatric syndromes and arthritis may have a unifying cause and pose unique challenges; a multi-disciplinary team can utilize imaging to tailor and coordinate treatment for this patient population. [ABSTRACT FROM AUTHOR]

Objective: Different classification criteria for systemic lupus erythematosus (SLE) have been proposed for many years. The most widely used and accepted criteria has been the 1997 American College of Rheumatology (ACR) criteria. In 2012, the Systemic Lupus International Collaborating Clinics (SLICC) criteria were published in an attempt to improve the clinical relevance of SLE criteria. In 2017, weighted criteria were proposed that included entry criteria, something the 1997 ACR and the 2012 SLICC criteria did not identify. The aim of the present study was to validate the 2017 weighted criteria, the 1997 ACR criteria, and the 2012 SLICC criteria and compare the sensitivities and specificities in pediatric SLE. Methods: For the past 15 years, retrospective chart review of patients diagnosed with SLE before age 19 years was conducted. The controls were patients referred for serologies positive for antinuclear antibodies but did not fulfill criteria for diagnosis of SLE at the initial visit or were diagnosed with another autoimmune disease. The 3 classification criteria sets were applied to these patients and compared against a gold standard of physician diagnosis. Results: A total of 156 patients were diagnosed with SLE. The sensitivity for the 2017 weighted criteria was 0.974 (95% confidence interval [95% CI] 0.936–0.993) and the specificity was 0.984 (95% CI 0.966–0.994). The sensitivity for the 1997 ACR criteria was 0.872 (95% CI 0.809–0.920) and the specificity was 1.00 (95% CI 0.990–1.000). The sensitivity for the 2012 SLICC criteria was 0.974 (95% CI 0.936–0.993) and the specificity was 0.997 (95% CI 0.985–1.000). Conclusion: The 2017 weighted criteria and the 2012 SLICC criteria were more sensitive than the 1997 ACR criteria. There were no significant differences in sensitivity and specificity between the 2012 SLICC and the 2017 weighted criteria. [ABSTRACT FROM AUTHOR]