Progression of Stargardt Disease as Determined by Fundus Autofluorescence Over a 24-Month Period (ProgStar Report No. 17).
Progression of Stargardt Disease as Determined by Fundus Autofluorescence Over a 24-Month Period (ProgStar Report No. 17).
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通过眼底自发荧光确定的 Stargardt 病在 24 个月内的进展情况(ProgStar 报告第 17 号)。
DOI:
10.1016/j.ajo.2023.02.003
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发表时间:
2023
影响因子:
4.2
通讯作者:
ProgstarStud
中科院分区:
文献类型:
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作者:
Strauss,RupertW;Ho,Alexander;Jha,Anamika;Fujinami,Kaoru;Michaelides,Michel;Cideciyan,ArturV;Audo,Isabelle;Birch,DavidG;Sadda,Srinivas;Ip,Michael;West,Sheila;Schönbach,EtienneM;Kong,Xiangrong;Scholl,HendrikPN;ProgstarStud
PURPOSETo estimate the progression rate of atrophic lesions in Stargardt disease derived from fundus autofluorescence (FAF).DESIGNInternational, multicenter, prospective cohort study.METHODSA total of 259 participants aged≥ 6 years with disease-causing variants in the ABCA4 gene were enrolled from 9 centers and followed over a 24-month period. FAF images were obtained every 6 months, and areas of definitely decreased autofluorescence (DDAF) and decreased autofluorescence (DAF) were quantified. Progression rates were estimated from linear mixed models with time as the independent variable.RESULTSA total of 488 study eyes of 259 participants (88.8% with both eyes) were enrolled and images from 432 eyes were followed for 24 months. The overall estimated progression of DDAF was 0.74 mm 2/y (95% CI 0.64-0.85, P<. 0001) and that of DAF was 0.64 mm 2/y (95% CI 0.57-0.71) over a 24-month period in univariate analysis. Growth rates were strongly dependent on baseline lesion area. After square root transformation, the DDAF growth rate was not dependent on baseline lesion radius (P=. 11), whereas the DAF growth rate was dependent (P<. 0001). Genotype was not found to significantly impact the growth rate of DDAF or DAF lesions.CONCLUSIONSFAF may serve as a convenient monitoring tool and suitable end point for interventional clinical trials that aim to slow disease progression. DDAF and DAF lesion sizes at baseline are strong predicting factors for lesion area growth and can be partially accounted for by square root transformation.