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Catering to the Era of Gene Therapy: An Objective Staging Strategy for Bietti Crystalline Dystrophy using Principal
Chenyue Hang1, Ting Zhang2, Zhixuan Chen1
1From the Department of Ophthalmology (C.H., T.Z., Z.C., T.Z., J.S., T.L., X.W., Y.G., S.Y., H.J., J.C., X.S.), Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University, School of Medicine, Shanghai, China; Shanghai Key Laboratory of Fundus Diseases (C.H., T.Z., Z.C., T.Z., J.S., T.L., X.W., Y.G., S.Y., H.J., J.C., X.S.), Shanghai, China.
Purpose:
To devise a novel and objective staging strategy of Bietti crystalline dystrophy (BCD) for gene therapy.
Design:
Development and validation of severity and staging assessments.
Methods:
We screened out 127 BCD patients from a cohort of 2146 patients with inherited retinal diseases (IRDs). Our study analyzed 6 critical indicators: age, LogMAR BCVA, absent autofluorescence (AF) area, mottled AF area, and average retinal thickness in ETDRS 1 mm circle and 3 mm ring. Using Principal Component Regression (PCR), we developed a quantitative model termed the Bietti Crystalline Dystrophy Score for Severity Assessment (BCD-SA Score), integrating indicators for disease severity. Additionally, a corresponding staging system (BCD-SA Stage) was derived from this model. We assessed the efficacy of the BCD-SA Stage, comparing it to the traditional staging strategy through a paired-sample t-test and Cohen's Kappa (κ) for agreement evaluation.
Results:
The patients' mean age was 47.96 ± 10.1 years. Spearman correlation analysis and univariate linear regression demonstrated a strong correlation between all indicators and the disease stages defined by the traditional method (P < .001). Principal Component Analysis (PCA) addressed the multicollinearity among indicators, extracting 2 linear uncorrelated principal components (PCs, Factor 1 and Factor 2). These PCs were then used in a multiple linear regression model to develop the BCD-SA Score. Subsequently, a novel and objective staging system (BCD-SA Stage) was created, providing a more precise disease delineation.
Conclusions:
We developed an innovative and objective scoring and staging strategy for BCD by integrating 6 variables and utilizing the PCR approach. This strategy advances BCD assessment and serves as a benchmark for the natural history evaluation and staging of other IRDs.
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