Development and validation of a clinical risk prediction rule to identify inflammatory arthritis at the point of rheumatology triage.

ABSTRACT:

Objectives

To develop and validate a clinical prediction rule to identify inflammatory arthritis (IA) using routinely collected triage data, without ACPA.

Methods

Prospective observational data from 184 patients referred to a tertiary care rheumatology clinic for joint pain over a 9-month period and meeting inclusion criteria were used to derive a clinical risk prediction rule for the diagnosis of IA versus non-IA, utilizing penalized and stepwise logistic regression modelling, including age, sex, CRP and RF. Internal validation was performed using 5-fold cross-validation. A population within the UK Biobank with a diagnosis of incident IA or non-IA, within 180 days of baseline assessment (N = 2828), was used for broad external domain validation. Model performance was

SUBMITTER: Roberts JH 

PROVIDER: S-EPMC12910375 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature