Francesco Muratore, Chiara Marvisi, Pamela Mancuso, Federica Macaluso, Chiara Scelfo, Lucia Belloni, Luigi Boiardi, Mariagrazia Catanoso, Paolo Giorgi Rossi, Caterina Ricordi, Carlo Salvarani
EGPA prevalence in Northern Italy is among the highest reported in Europe, likely reflecting near-complete case ascertainment through integrated health data sources rather than true geographic variation.
OBJECTIVES: To estimate the prevalence and incidence of eosinophilic granulomatosis with polyangiitis (EGPA) in Northern Italy using multi-source capture-recapture methodology.
METHODS: We conducted a population-based study in Reggio Emilia area from 1991 to 2022. Cases fulfilling the 2022 ACR/EULAR classification criteria were identified through seven independent sources: outpatient vasculitis and asthma clinic records, centralized laboratory databases for ANCA testing, drug prescription records for IL-5 inhibitors, hospital discharge data, day service admissions database and the regional rare disease registry. Capture-recapture models were fitted to estimate the total number of cases, including those not identified by any source.
RESULTS: Forty patients with EGPA were identified (mean age 55 years, 75% female). On January 1, 2023, 36 prevalent cases were alive and resident. The best-fitting capture-recapture model estimated 0 missed cases (95% CI 0 to 2), yielding a crude prevalence of 68 per million inhabitants (95% CI 68-72). Between 2001 and 2022, 37 incident cases were identified. Capture-recapture analysis estimated complete case ascertainment in both periods 2001-2011 and 2012-2022 (0 missed cases in both periods, 95% CI 0-3 and 0-2, respectively). The age- and sex-standardized incidence was 3.31 per million inhabitants (95% CI 2.24-4.37), increasing from 2.83 (95% CI 1.39-4.27) in 2001-2011 to 3.59 (95% CI 2.08-5.09) in 2012-2022. Hospital discharge data identified only 25% of prevalent cases, while the exemption registry captured 86%.
CONCLUSIONS: EGPA prevalence in Northern Italy is among the highest reported in Europe, likely reflecting near-complete case ascertainment through integrated health data sources rather than true geographic variation.