Alsayyar, Manal (0202) Using a novel questionnaire-based approach to detect agerelated macular degeneration in Lifelines, a large-scale population-based cohort. thesis, Medicine.
Full text available on request.Abstract
Purpose: The aim of this study is to develop a novel questionnaire-based approach to detect Age-related Macular Degeneration (AMD) in Caucasians in the North of the Netherlands. Design: Clinical cohort and population-based study (Lifelines). Methods: In this study, a visual questionnaire comprising of self-reported eye diseases and the National Eye Institute Visual Functioning Questionnaire-25 (NEI-VFQ-25), was administered to ~90,000 participants from Lifelines, a population-based cohort located in the North of the Netherlands, and to patients treated in the UMCG for wet AMD (clinical cohort). We compared NEI-VFQ-25 responses between AMD patients from the clinical cohort (n=93) and a subset of age- and gender-matched controls from Lifelines (n=1,860), using logistic regression. This yielded an AMD-specific visual complaint pattern. From this, a discriminatory equation was created to define “AMD suspects”. We calculated the agestratified and standardized prevalences of self-reported AMD and AMD suspects in the Lifelines cohort. Results: AMD participants reported a significantly poorer visual experience compared to ageand gender-matched controls in “distance”, “near”, “colour”, “low luminance” and “peripheral” visual subscales. In Lifelines we identified 597 self-reported AMD cases and 2,141 AMD suspects. The standardized prevalence (95% confidence interval) of combined self-reported AMD and AMD suspects in Lifelines participants aged 55+ was 13.47% (13.45- 13.50) . Conclusions: Subjective visual experience and self reported AMD status could be a novel method to estimate the prevalence of AMD in a population-based setting.
| Item Type: | Thesis (UNSPECIFIED) |
|---|---|
| Supervisor name: | Jansonius, Prof. Nomdo and Neustaeter, MSc, Anna |
| Faculty: | Medical Sciences |
| Date Deposited: | 31 Jul 2023 11:26 |
| Last Modified: | 31 Jul 2023 11:26 |
| URI: | https://umcg.studenttheses.ub.rug.nl/id/eprint/3604 |
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