| Autor: |
Karuntu, J. S., Nguyen, X. T., Boon, C. J. F. |
| Předmět: |
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| Zdroj: |
Acta Ophthalmologica (1755375X); Aug2024, Vol. 102 Issue 5, p555-563, 9p |
| Abstrakt: |
Purpose: To validate the use of best‐corrected visual acuity (BCVA), low‐luminance visual acuity (LLVA), low‐luminance deficit (LLD; the difference between BCVA and LLVA), mean macular sensitivity and fixation stability as parameters of vision‐related quality of life based on the novel Michigan Retinal Degeneration Questionnaire (MRDQ) in retinitis pigmentosa (RP) patients. Methods: In this prospective cross sectional study, 30 patients with RP (47% female) were included with a median age of 41.0 years (interquartile range: 24.1–58.3 years). BCVA, LLVA and LLD were measured with Early Treatment Diabetic Retinopathy Study (ETDRS) charts. Mesopic microperimetry was performed to measure mean macular sensitivity and fixation stability. Patients completed a Dutch translation of the MRDQ which results in an experienced disability (Θ‐)score of seven domains. Spearman's rank correlation was used. Results: BCVA correlated significantly to the MRDQ domain of central vision (r = 0.657; p < 0.001) and colour vision (r = 0.524; p = 0.003). Lower LLVA significantly correlated to higher experienced disability in the MRDQ domains for central vision (=0.550; p = 0.002) and contrast sensitivity (r = 0.502; p = 0.005). LLD was significantly correlated to the MRDQ domains of scotopic function (r = −0.484; p = 0.007) and mesopic peripheral function (r = −0.533; p = 0.002). Lower mean macular sensitivity was significantly associated with high experienced disability in all domains except for photosensitivity. Conclusions: The majority of the MRDQ domains is strongly associated with visual function parameters. These findings show that visual function measurements, especially LLVA, LLD and mean macular sensitivity on microperimetry, reflect vision‐related quality of life and can be used as relevant outcome measures in clinical trials for RP. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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