Akademik Veri Yönetim Sistemi
Frontiers in Medicine, cilt.9, 2022 (SCI-Expanded)
Copyright © 2022 Sota, Vitale, Więsik-Szewczyk, Frassi, Lopalco, Emmi, Govoni, de Paulis, Marino, Gidaro, Monti, Opris-Belinski, Pereira, Jahnz-Rózyk, Gaggiano, Crisafulli, Iannone, Mattioli, Ruffilli, Mormile, Rybak, Caggiano, Airò, Tufan, Gentileschi, Ragab, Almaghlouth, Aboul-Fotouh Khalil, Cattalini, La Torre, Tarsia, Giardini, Ali Saad, Bocchia, Caroni, Giani, Cinotti, Ruscitti, Rubegni, Dagostin, Frediani, Guler, Della Casa, Maggio, Recke, von Bubnoff, Krause, Balistreri, Fabiani, Rigante and Cantarini.Objective: The present paper describes the design, development, and implementation of the AutoInflammatory Disease Alliance (AIDA) International Registry specifically dedicated to patients with Schnitzler's syndrome. Methods: This is a clinical physician-driven, population- and electronic-based registry implemented for the retrospective and prospective collection of real-life data from patients with Schnitzler's syndrome; the registry is based on the Research Electronic Data Capture (REDCap) tool, which is designed to collect standardized information for clinical research, and has been realized to change over time according to future scientific acquisitions and potentially communicate with other existing or future similar registries. Results: Since its launch, 113 centers from 23 countries in 4 continents have been involved. Fifty-seven have already obtained the approval from their local Ethics Committees. The platform counts 324 users (114 Principal Investigators, 205 Site Investigators, 2 Lead Investigators, and 3 data managers) at current (April 28th, 2022). The registry collects baseline and follow-up data using 3,924 fields organized into 25 instruments, including patient's demographics, history, clinical manifestations and symptoms, trigger/risk factors, laboratory, instrumental exams, therapies, socioeconomic information, and healthcare access. Conclusions: This International Registry for patients with Schnitzler's syndrome facilitates standardized data collection, enabling international collaborative projects through data sharing and dissemination of knowledge; in turn, it will shed light into many blind spots characterizing this complex autoinflammatory disorder.