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Updated: Feb 8, 2026

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
Implementing strategies for data collection in chronic rhinosinusitis
P Castelnuovo1, F Bandi2, A Preti3
1Department of Otorhinolaryngology, University of Insubria and ASST Sette Laghi, Ospedale di Circolo, Varese, Italy; Department of Biotechnology and Life Sciences (DBSV), University of Insubria, Varese, Italy.
Summary:
Chronic rhinosinusitis (CRS) is a debated topic in the international rhinologic literature because of its high prevalence, heterogeneity of clinical manifestations and unpredictability of disease course. Recently, the focus in CRS research has moved to identify biological subtypes that might explain its aetiology and clinical variability. However, these analyses are still expensive and limited to scientific purposes, so that they cannot be used on a large scale in daily practice. For this reason, we wondered if it was possible to define a risk stratification for CRS patients based only on first level investigations. The heterogeneity of the disease has given us a large amount of data compelling to find an additional storage system. Herein, we present the results of our work, the RhinoBank, as we believe that it is an easy-to-use tool for those professionals dealing with CRS and an effective system to exploit in clinical research.
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