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Purpose: Age-related macular degeneration (AMD) is a degenerative disease of the macula, often leading to progressive vision loss. The rate of disease progression can vary among individuals and has been associated with multiple risk factors. In this review, we provide an overview of the current literature investigating phenotypic, demographic, environmental, genetic, and molecular risk factors, and propose the most consistently identified risk factors for disease progression in AMD based on these studies. Finally, we describe the potential use of these risk factors for personalised healthcare., Recent Findings: While phenotypic risk factors such as drusen and pigment abnormalities become more important to predict disease progression during the course of the disease, demographic, environmental, genetic and molecular risk factors are more valuable at earlier disease stages. Demographic and environmental risk factors such as age and smoking are consistently reported to be related to disease progression, while other factors such as sex, body mass index (BMI) and education are less often associated. Of all known AMD variants, variants that are most consistently reported with disease progression are rs10922109 and rs570618 in CFH, rs116503776 in C2/CFB/SKIV2L, rs3750846 in ARMS2/HTRA1 and rs2230199 in C3. However, it seems likely that other AMD variants also contribute to disease progression but to a lesser extent. Rare variants have probably a large effect on disease progression in highly affected families. Furthermore, current prediction models do not include molecular risk factors, while these factors can be measured accurately in the blood. Possible promising molecular risk factors are High-Density Lipoprotein Cholesterol (HDL-C), Docosahexaenoic acid (DHA), eicosapentaenoic acid (EPA), zeaxanthin and lutein., Summary: Phenotypic, demographic, environmental, genetic and molecular risk factors can be combined in prediction models to predict disease progression, but the selection of the proper risk factors for personalised risk prediction will differ among individuals and is dependent on their current disease stage. Future prediction models should include a wider set of genetic variants to determine the genetic risk more accurately, and rare variants should be taken into account in highly affected families. In addition, adding molecular factors in prediction models may lead to preventive strategies and personalised advice., (© 2020 The Authors. Ophthalmic and Physiological Optics published by John Wiley & Sons Ltd on behalf of College of Optometrists.)

Purpose: Depression and anxiety are highly prevalent in older adults with vision impairment. Because symptoms of depression and anxiety appear to fluctuate, it is important to identify patients who are at risk of developing these symptoms for early diagnosis and treatment. Therefore, the aim of this study was to determine the incidence of subthreshold depression and anxiety, and to investigate predictors of developing symptoms of depression and anxiety in older adults with vision impairment who had no subthreshold depression or anxiety at baseline., Methods: A longitudinal prospective cohort study with a follow-up of 24 months in 540 older adults with vision impairment (mean age 75 years, 56% female, 48% macular degeneration, 15% glaucoma) from outpatient low-vision rehabilitation organisations was performed. The cumulative incidences of subthreshold depression and anxiety were calculated and linear mixed models with maximum likelihood estimation were used to determine two prediction models. Main outcome measures were: fluctuations in (i) depressive symptoms (Center for Epidemiologic Studies Depression Scale, CES-D) and (ii) anxiety symptoms (Hospital Anxiety and Depression Scale-Anxiety subscale, HADS-A)., Results: The annual cumulative incidences of subthreshold depression and anxiety were 21.3% (95% Confidence Interval (CI) 18.7-23.9%) and 9.5% (95% CI 7.4-11.6%), respectively. Risk factors for developing depressive symptoms were: living alone, having just enough money to cover expenses, having macular degeneration, having problems with adaptation to vision loss, reduced health related quality of life, and experiencing symptoms of anxiety. For developing anxiety symptoms, a relatively younger age, experiencing symptoms of depression, not living alone and experiencing hindrance at work proved to be risk factors., Conclusions: This study shows that the incidence of subthreshold depression and anxiety in older adults with vision impairment is twice as high compared with older adults in general and confirms that depression and anxiety symptoms fluctuate over time. It is of great importance that low vision rehabilitation staff monitor older adults with vision impairment who are most vulnerable for developing these symptoms, based on the risk factors that were found in this study, to be able to offer early interventions to prevent and treat mental health problems in this population., (© 2017 The Authors Ophthalmic & Physiological Optics © 2017 The College of Optometrists.)