Baseline characteristics of children in the International PANS Registry (IPR) Epidemiology Study

Abstract

PurposeThe International PANS Registry (IPR) Epidemiology Study is a registry-based, longitudinal study. We designed this study to improve phenotyping and characterisation of children with paediatric acute-onset neuropsychiatric syndrome (PANS) and PANS-like features and facilitate multidisciplinary and translational health research. This cohort provides new opportunities to address unresolved research questions related to the broad spectrum of heterogenous PANS-like conditions.ParticipantsInclusion in the IPR Epidemiology Study remains open indefinitely via IPR enrolment online. Participants include children with PANS or who have PANS-like features and their healthy siblings. We collected cross-sectional survey data based on parent report, including details on phenotypic traits and characteristics that, to our knowledge, have not been previously collected for this patient population. We describe the baseline characteristics of cases and their healthy siblings here.Findings to dateThe IPR Epidemiology Study currently includes 1781 individuals (1179 cases, 602 siblings; from 1010 households). Many households include a sibling (n=390, 39%) and some include multiple cases (n=205, 20%). Mean enrolment age was 11.3±4.3 years for cases and 10.1±5.3 for siblings. Leading PANS-like features include anxiety (94%), emotional lability (92%) and obsessions (90%). Onsets were sudden and dramatic (27%), gradual with a subsequent sudden and dramatic episode (68%) or a gradual progression (5%). The mean age at early signs/symptom onset was 4 years and 7 years at sudden and dramatic increases, respectively. Infection/illness was the most common suspected symptom trigger (84%). Nearly all cases had been treated with antibiotics (88%) and/or non-steroidal anti-inflammatory drugs (79%). Parents reported immune-related conditions in cases (18%) and their nuclear, biological family (48%; 39% in biological mothers).Future plansFuture plans include increasing sample size, collecting longitudinal survey data, recruiting appropriate study controls and expanding the scope of the database, prioritising medical record data integration and creating a linked biorepository. Secondary data analyses will prioritise identifying subgroups by phenotypic traits, maternal health and disease characteristics.