OBJECTIVE: AURA was an observational study that monitored visual acuity outcomes following ranibizumab use in neovascular age-related macular degeneration patients over 2 years. The aim of this analysis was to identify factors that were predictive of visual acuity outcomes in AURA. METHODS: The correlation between the baseline characteristics, the use of resources and the visual acuity outcomes in AURA was explored using principal component analysis (PCA) and partial least-squares-discriminant analysis (PLS-DA). The response variables analysed were mean change in visual acuity over 2 years (analysed via PCA) and no decline in visual acuity at 2 years compared with baseline (analysed via PLS-DA). RESULTS: The AURA dataset comprised 2,227 patients and 132 variables. Using PCA and PLS-DA, we found that the number of ranibizumab injections, clinic and monitoring visits, number of optical coherence tomography scans and ophthalmoscopies correlated with a change in visual acuity at Years 1 and 2, and are therefore key drivers of treatment success. CONCLUSION: This is a novel approach to graphically explore relationships between multiple correlated covariates and outcomes in real-life ophthalmology studies. It identified a number of variables that are positively linked with treatment outcomes.
OBJECTIVE: AURA was an observational study that monitored visual acuity outcomes following ranibizumab use in neovascular age-related macular degeneration patients over 2 years. The aim of this analysis was to identify factors that were predictive of visual acuity outcomes in AURA. METHODS: The correlation between the baseline characteristics, the use of resources and the visual acuity outcomes in AURA was explored using principal component analysis (PCA) and partial least-squares-discriminant analysis (PLS-DA). The response variables analysed were mean change in visual acuity over 2 years (analysed via PCA) and no decline in visual acuity at 2 years compared with baseline (analysed via PLS-DA). RESULTS: The AURA dataset comprised 2,227 patients and 132 variables. Using PCA and PLS-DA, we found that the number of ranibizumab injections, clinic and monitoring visits, number of optical coherence tomography scans and ophthalmoscopies correlated with a change in visual acuity at Years 1 and 2, and are therefore key drivers of treatment success. CONCLUSION: This is a novel approach to graphically explore relationships between multiple correlated covariates and outcomes in real-life ophthalmology studies. It identified a number of variables that are positively linked with treatment outcomes.
Authors: Laura Lorés-Motta; Moeen Riaz; Michelle Grunin; Jordi Corominas; Freekje van Asten; Marc Pauper; Mathieu Leenders; Andrea J Richardson; Philipp Muether; Angela J Cree; Helen L Griffiths; Connie Pham; Marie-Claude Belanger; Magda A Meester-Smoor; Manir Ali; Iris M Heid; Lars G Fritsche; Usha Chakravarthy; Richard Gale; Martin McKibbin; Chris F Inglehearn; Reinier O Schlingemann; Amer Omar; John Chen; Robert K Koenekoop; Sascha Fauser; Robyn H Guymer; Carel B Hoyng; Eiko K de Jong; Andrew J Lotery; Paul Mitchell; Anneke I den Hollander; Paul N Baird; Itay Chowers Journal: JAMA Ophthalmol Date: 2018-08-01 Impact factor: 7.389
Authors: Richard P Gale; Ian Pearce; Nicole Eter; Faruque Ghanchi; Frank G Holz; Steffen Schmitz-Valckenberg; Konstantinos Balaskas; Ben J L Burton; Susan M Downes; Haralabos Eleftheriadis; Sheena George; David Gilmour; Robin Hamilton; Andrew J Lotery; Nishal Patel; Priya Prakash; Cynthia Santiago; Saju Thomas; Deepali Varma; Gavin Walters; Michael Williams; Armin Wolf; Rosina H Zakri; Franklin Igwe; Filis Ayan Journal: Br J Ophthalmol Date: 2019-08-05 Impact factor: 4.638