Individualised risk prediction model for exacerbations in patients with severe asthma: protocol for a multicentre real-world risk modelling study.

ABSTRACT:

Introduction

Severe asthma is associated with a disproportionally high disease burden, including the risk of severe exacerbations. Accurate prediction of the risk of severe exacerbations may enable clinicians to tailor treatment plans to an individual patient. This study aims to develop and validate a novel risk prediction model for severe exacerbations in patients with severe asthma, and to examine the potential clinical utility of this tool.

Methods and analysis

The target population is patients aged 18 years or older with severe asthma. Based on the data from the International Severe Asthma Registry (n=8925), a prediction model will be developed using a penalised, zero-inflated count model that predicts the rate or risk of exacerbation in the next 12 months. The risk pred

SUBMITTER: Lee TY 

PROVIDER: S-EPMC10008482 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature