Assessment of Functional Vision Score and Vision-Specific Quality of Life in Individuals With Retinitis Pigmentosa
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Purpose: To determine the relationship between the American Medical Association’s (AMA) functional vision score (FVS) and vision-specific quality of life in retinitis pigmentosa (RP) patients using the National Eye Institute’s Visual Functioning Questionnaire (NEI-VFQ 25). Methods: One hundred eight patients with RP participated in the study. We measured best-corrected visual acuity, conducted Goldmann perimetry, and collected the self-reported NEI-VFQ 25. The FVS was calculated using the functional field score (FFS) and the functional acuity score (FAS). The correlations of the VFQ composite scores to the FVS, FFS, and FAS were determined using correlation and regression analyses. Results: FVS was highly correlated to the BCVA (r=0.69, p<0.001), the FFS (r=0.86, p<0.001) and the FAS (r= 0.73, p<0.001). Significant correlations of the VFQ composite score to the BCVA (r=0.60, p<0.001), FFS (r=0.44, p<0.001), FAS (r=0.60, p<0.001), FVS (r=0.58, p<0.001) were also found. However, the correlation strengths of BCVA, FVS, FAS, and FFS to NEI-FVQ were not different. Conclusions: In RP patients, the vision-specific quality of life was correlated with the AMA guidelines’ FVS, FFS, and FAS. Their correlation degrees to NEI-FVQ were not different. This result suggests that vision-specific quality of life can be explained by both visual acuity and visual field in RP patients.
Abstract
Purpose: To determine the relationship between the American Medical Association’s (AMA) functional vision score (FVS) and vision-specific quality of life in retinitis pigmentosa (RP) patients using the National Eye Institute’s Visual Functioning Questionnaire (NEI-VFQ 25). Methods: One hundred eight patients with RP participated in the study. We measured best-corrected visual acuity, conducted Goldmann perimetry, and collected the self-reported NEI-VFQ 25. The FVS was calculated using the functional field score (FFS) and the functional acuity score (FAS). The correlations of the VFQ composite scores to the FVS, FFS, and FAS were determined using correlation and regression analyses. Results: FVS was highly correlated to the BCVA (r=0.69, p<0.001), the FFS (r=0.86, p<0.001) and the FAS (r= 0.73, p<0.001). Significant correlations of the VFQ composite score to the BCVA (r=0.60, p<0.001), FFS (r=0.44, p<0.001), FAS (r=0.60, p<0.001), FVS (r=0.58, p<0.001) were also found. However, the correlation strengths of BCVA, FVS, FAS, and FFS to NEI-FVQ were not different. Conclusions: In RP patients, the vision-specific quality of life was correlated with the AMA guidelines’ FVS, FFS, and FAS. Their correlation degrees to NEI-FVQ were not different. This result suggests that vision-specific quality of life can be explained by both visual acuity and visual field in RP patients.
참고문헌 (17)
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