A review of patient-reported outcome measures used in uveitis.

We review patient-reported outcome measures (PROMs) used to evaluate the quality of life (QoL) in uveitis and provide a quality assessment of the psychometric properties of the PROMs, making it easier to choose the best questionnaire for uveitis. Our review included 158 articles. A total of 98 PROMs were used to measure QoL in uveitis and the National Eye Institute Visual Function Questionnaire 25 (NEI VFQ -25) was the most frequently used PROM in these studies. There were 5 uveitis-specific PROMs, but they were meant for either birdshot choroidopathy or cytomegalovirus retinitis or paediatric uveitis. There are no PROMs developed explicitly for the more common, anterior uveitis, intermediate uveitis, panuveitis, and chronic uveitis. The uveitis-specific PROMs performed better in our quality assessment criteria compared to other PROMs. However, these PROMs were constructed using traditional classical test theory and have not been assessed using the modern family of psychometric assessment methods such as Rasch analysis. As new therapeutic modalities for uveitis such as the new biological agents and steroid implants, continue to evolve, a comprehensive PROM will be increasingly valued in clinical trial settings to compare the effects of treatments from the patient's perspective.

Risk Factors and Prediction Models for Retinopathy of Prematurity.

OBJECTIVES: To develop a simple prediction model for the pre-screening of Retinopathy of Prematurity (ROP) among preterm babies. METHODS: This was a prospective study. The test dataset (January 2007 until December 2010) was used to construct risk prediction models, and the validation dataset (January 2011 until March 2012) was used to validate the models developed from the test dataset. Two prediction models were produced using the test dataset based on logistic regression equations in which the development of ROP was used as the outcome. RESULTS: The sensitivity and specificity for model 1 [gestational age (GA), birth weight (BW), intraventricular haemorrhage (IVH) and respiratory distress syndrome (RDS)] was 82 % and 81.7%, respectively; for model 2, (GA and BW) the sensitivity and specificity were 80.5% and 80.3%, respectively. CONCLUSION: Model 2 was preferable, as it only required two predictors (GA and BW). Our prediction model can be used for early detection of ROP to avoid poor outcomes.