Cardio-oncology & otherCohort study
Predicting Long-Term Clinical Outcomes of Patients With Recurrent Pericarditis
- Retrospective cohort study
- prognostic model development
- machine learning survival models
- consecutive patients
Authors' conclusion
We developed a novel risk-stratification model for predicting CR in RP. Our model can also aid in stratifying patients, with high discriminative ability.
Study context
- Population
- Patients with recurrent pericarditis, 2012–2019
- Participants
- 365 consecutive patients
- Outcome
- Clinical remission (cessation of all anti-inflammatory therapy with complete resolution of symptoms)
- Follow-up
- Within 5 years
Main finding
As reported in the abstract
Prediction of clinical remission
Clinical remission (CR) achieved
118 (32%)
Model C-index on test set
0.800
Stratification into low-, intermediate- and high-risk groups (log-rank test)
P < 0.0001
Observational data: associations, not effects.
Original publication
Predicting Long-Term Clinical Outcomes of Patients With Recurrent Pericarditis. J Am Coll Cardiol. Published 31 August 2024. doi:10.1016/j.jacc.2024.05.072
Summarised from the published abstract; every number is checked against it