Purpose: Aim of the present study was to validate a statistical model to predict a severe course of anterior uveitis (AU) in patients with juvenile idiopathic arthritis (JIA). Methods: Consecutive patients with newly diagnosed uveitis have been followed for at least 1 year with a standardized protocol. For each patient, demographic, clinical and laboratory characteristics, including time interval between arthritis and uveitis onset, α 2-globulins level at arthritis onset, number of uveitis relapses/year, ocular complications and therapy and visual acuity, have reported. The validation procedure included the assessment of sensitivity, specificity and efficiency of previously published statistical model (Zulian et al. J Rheumatol 2002; 29: 2446-2453) in a new inception cohort of patients during a short length follow-up. Results: Sixty patients with JIA, followed at 14 paediatric rheumatology-ophthalmology centres in Italy, entered the study. The mean age at arthritis onset was 4.4 years (range 1.2-15.8 years), and the mean interval time between arthritis and uveitis onset was 1.8 years (range: 0.0-14.2 years). After the first AU, patients, followed for a mean of 3.2 years, had a mean of 2.9 uveitis relapses. Twenty-two patients (36.7%) presented at least one complication. Using a probability cut-off value = 0.7, the statistical model revealed 80% sensitivity, 58% specificity and 65% efficiency. Conclusion: The time interval between arthritis and uveitis onset resulted as the main predictor of severe course uveitis in JIA. The statistical model was able to predict the development of a severe course in 8 of 10 patients. © 2009 Acta Ophthalmol.

Timing of uveitis onset in oligoarticular juvenile idiopathic arthritis (JIA) is the main predictor of severe course uveitis

Martini G.;
2012-01-01

Abstract

Purpose: Aim of the present study was to validate a statistical model to predict a severe course of anterior uveitis (AU) in patients with juvenile idiopathic arthritis (JIA). Methods: Consecutive patients with newly diagnosed uveitis have been followed for at least 1 year with a standardized protocol. For each patient, demographic, clinical and laboratory characteristics, including time interval between arthritis and uveitis onset, α 2-globulins level at arthritis onset, number of uveitis relapses/year, ocular complications and therapy and visual acuity, have reported. The validation procedure included the assessment of sensitivity, specificity and efficiency of previously published statistical model (Zulian et al. J Rheumatol 2002; 29: 2446-2453) in a new inception cohort of patients during a short length follow-up. Results: Sixty patients with JIA, followed at 14 paediatric rheumatology-ophthalmology centres in Italy, entered the study. The mean age at arthritis onset was 4.4 years (range 1.2-15.8 years), and the mean interval time between arthritis and uveitis onset was 1.8 years (range: 0.0-14.2 years). After the first AU, patients, followed for a mean of 3.2 years, had a mean of 2.9 uveitis relapses. Twenty-two patients (36.7%) presented at least one complication. Using a probability cut-off value = 0.7, the statistical model revealed 80% sensitivity, 58% specificity and 65% efficiency. Conclusion: The time interval between arthritis and uveitis onset resulted as the main predictor of severe course uveitis in JIA. The statistical model was able to predict the development of a severe course in 8 of 10 patients. © 2009 Acta Ophthalmol.
File in questo prodotto:
File Dimensione Formato  
Acta Ophthalmologica 2012.pdf

non disponibili

Tipologia: Versione Editoriale (PDF)
Licenza: Non pubblico
Dimensione 212.97 kB
Formato Adobe PDF
212.97 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1296591
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 32
  • ???jsp.display-item.citation.isi??? 26
social impact