Tina Ristau1, Lebriz Ersoy1, Moritz Hahn2, Anneke I den Hollander3, Bernd Kirchhof1, Sandra Liakopoulos1, Sascha Fauser1. 1. Department of Ophthalmology, University Hospital of Cologne, Cologne, Germany. 2. Institute of Medical Statistics, Informatics and Epidemiology, University of Cologne, Cologne, Germany. 3. Department of Ophthalmology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands.
Abstract
PURPOSE: To create a risk model for neovascular age-related macular degeneration (nAMD) based on nongenetic factors. METHODS: In this case-control study, 1459 individuals were included, 445 patients showed nAMD and 1014 were healthy controls. Participants were randomly assigned into a training set (containing two-thirds of individuals) and a validation set. Stepwise logistic regression analysis was performed for 25 environmental risk factors in the training set. The risk model with the remaining factors was then validated in the validation set using receiver operating characteristics (ROC) curve and Hosmer-Lemeshow-Test. Additionally, a genetic risk model including variants in the complement factor H gene (CFH, rs1061170) and the age-related maculopathy susceptibility 2 gene (ARMS2, rs10490924) was generated. RESULTS: The environmental risk model with the factors age, alcohol use, allergy, education, sunlight exposure, fish consumption, and physical exercise showed an AUC of 0.80 (95% confidence interval [CI] 0.76-0.84) in the training set. Validation of the model showed adequate calibration (Hosmer-Lemeshow P = 0.81). The AUC for the genetic model was 0.77 (95% CI 0.730-0.808), for the combined environmental and genetic model 0.92 (95% CI 0.887-0.947). CONCLUSIONS: Seven nongenetic factors are able to provide equivalent discrimination between nAMD patients and controls to genetic risk models. Most of them are modifiable and give the opportunity for counseling patients. Copyright 2014 The Association for Research in Vision and Ophthalmology, Inc.
RCT Entities:
PURPOSE: To create a risk model for neovascular age-related macular degeneration (nAMD) based on nongenetic factors. METHODS: In this case-control study, 1459 individuals were included, 445 patients showed nAMD and 1014 were healthy controls. Participants were randomly assigned into a training set (containing two-thirds of individuals) and a validation set. Stepwise logistic regression analysis was performed for 25 environmental risk factors in the training set. The risk model with the remaining factors was then validated in the validation set using receiver operating characteristics (ROC) curve and Hosmer-Lemeshow-Test. Additionally, a genetic risk model including variants in the complement factor H gene (CFH, rs1061170) and the age-related maculopathy susceptibility 2 gene (ARMS2, rs10490924) was generated. RESULTS: The environmental risk model with the factors age, alcohol use, allergy, education, sunlight exposure, fish consumption, and physical exercise showed an AUC of 0.80 (95% confidence interval [CI] 0.76-0.84) in the training set. Validation of the model showed adequate calibration (Hosmer-Lemeshow P = 0.81). The AUC for the genetic model was 0.77 (95% CI 0.730-0.808), for the combined environmental and genetic model 0.92 (95% CI 0.887-0.947). CONCLUSIONS: Seven nongenetic factors are able to provide equivalent discrimination between nAMD patients and controls to genetic risk models. Most of them are modifiable and give the opportunity for counseling patients. Copyright 2014 The Association for Research in Vision and Ophthalmology, Inc.
Authors: Friederike Schaub; Werner Adler; Meike C Koenig; Philip Enders; Rafael S Grajewski; Claus Cursiefen; Ludwig M Heindl Journal: Graefes Arch Clin Exp Ophthalmol Date: 2016-08-24 Impact factor: 3.117
Authors: Se Joon Woo; Jeeyun Ahn; Margaux A Morrison; So Yeon Ahn; Jaebong Lee; Ki Woong Kim; Margaret M DeAngelis; Kyu Hyung Park Journal: PLoS One Date: 2015-07-14 Impact factor: 3.240
Authors: Lebriz Altay; Xavier Subiras; Laura Lorés de Motta; Tina Schick; Aileen Berghold; Carel B Hoyng; Anneke I den Hollander; Sascha Fauser; Srinivas R Sadda; Sandra Liakopoulos Journal: Mol Vis Date: 2020-10-04 Impact factor: 2.367