Rheumatoid arthritis

Early prediction of bone destruction in rheumatoid arthritis through machine learning analysis of plasma metabolites

Arthritis Res TherPublished Prognostic model development study

Performance · Rapid radiographic progressionResult — go to the resultOdds ratio 0.01 95% CI 0.01–0.03

Authors' conclusion

The CjBM was developed for early prediction of bone destruction in patients with RA, and the evaluation of BERS emphasizes the significance of metabolite features.

Study context

Population
Patients with rheumatoid arthritis (RA); baseline plasma metabolites by liquid chromatograph-mass spectrometer
Participants
60 patients
Comparison
High vs low bone erosion risk score (BERS); CjBM vs reported prediction models
Outcome
Radiographic progression (bone destruction) by van der Heijde-modified total Sharp score (mTSS)
Follow-up
one-year follow-up
Methodological detailsmachine learning, prospective cohort, 1-year follow-up
  • Machine learning
  • Prospective cohort
  • 1-year follow-up

Performance

Rapid radiographic progression

Odds ratio

0.01

95% CI 0.01–0.03

P = 0.003

High BERSvs Lower BERS
OR 0.01 (95% CI 0.01–0.03); P = 0.003

As reported in the abstract

CjBM (BERS + MTX and CRP) AUC
0.800
Adding BERS improves discrimination of original reported model
PDeLong=0.035

Further findings

mTSS change over 1-year follow-up · one-year follow-up

Median increase in mTSS
3.50

Plasma metabolites and BERS for rapid radiographic progression

Metabolites detected
774
Metabolites differing between patients with different outcomes
77
Core metabolites identified by Gaussian Naive Bayes: mangiferic acid, O-acetyl-L-carnitine, an eicosatrienoic acid and 16-methylheptadecanoic acid; BERS built on these features

Comparison with reported prediction models

Adding BERS improved discrimination of the original reported model
PDeLong=0.035
CjBM vs reported models in identifying rapid radiographic progression: near statistical significance

Original publication

Early prediction of bone destruction in rheumatoid arthritis through machine learning analysis of plasma metabolites. Arthritis Res Ther. Published 21 May 2025. doi:10.1186/s13075-025-03576-x

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.