Spondyloarthritis & psoriatic arthritis

Derivation of a Multivariable Psoriatic Arthritis Risk Estimation Tool ( PRESTO ): A Step Towards Prevention

Arthritis RheumatolPublished Prospective cohort study

Authors' conclusion

The development of PsA within clinically meaningful time frames can be predicted with reasonable accuracy for psoriasis patients using readily available clinical variables.

Study context

Population
Psoriasis patients without psoriatic arthritis (PsA) at enrollment, prospective cohort
Participants
635 patients
Outcome
Development of PsA (risk prediction model performance by AUC and calibration)
Follow-up
1 and 5 years
Methodological detailsprediction model derivation, penalized binary regression, adjusted for psoriasis duration, annual rheumatologist assessment
  • Prediction model derivation
  • Penalized binary regression
  • Adjusted for psoriasis duration
  • Annual rheumatologist assessment

Main finding

As reported in the abstract

Development of PsA, prediction model performance

Developed PsA within 1 year

51

Developed PsA within 5 years

71

1-year model AUC (younger age, male sex, family history of psoriasis, back stiffness, nail pitting, joint stiffness, biologic use, patient global health, pain severity)

72.3

5-year model AUC (morning stiffness, psoriatic nail lesion, psoriasis severity, fatigue, pain, systemic nonbiologic medication or phototherapy)

74.9

Observational data: associations, not effects.

Original publication

Derivation of a Multivariable Psoriatic Arthritis Risk Estimation Tool ( PRESTO ): A Step Towards Prevention. Arthritis Rheumatol. Published 24 October 2023. doi:10.1002/art.42661

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

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