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. 2023 Nov 4;13(1):161–178. doi: 10.1007/s40123-023-00829-3

Table 1.

Baseline demographics and disease characteristics

Treatment-naïve (n = 1478) Previously treated (n = 384)
Patient demographics
 Age, years 61.9 ± 10.5 62.9 ± 9.3
 Female, n (%) 723 (48.9) 222 (57.8)
Race, n (%)a
 Asian 515 (40.8) 35 (9.1)
 Black 8 (0.6) 0
 White 736 (58.4) 346 (90.3)
 Multiple 2 (0.2) 2 (0.5)
 Missing, nb 217 1
Time from DME diagnosis to first IVT-AFL treatment, months
 Meanc 9.0 ± 29.8 24.8 ± 31.5
 Median 0.9 15.7
Visual characteristics
 VA, letters 56.0 ± 19.8 50.8 ± 19.5
 Missing, n 67 6
VA categories, n (%)a
 < 35 letters 163 (11.6) 54 (14.3)
 35–69 letters 791 (56.1) 244 (64.6)
 ≥ 70 letters 457 (32.4) 80 (21.2)
Anatomic characteristics
 CRT, µm 437 ± 140 465 ± 148
 Missing, n 186 24
 SRF present, n (%)a 340/1011 (33.6) 106/299 (35.5)
 Missing, n 467 85
 IRF present, n (%)a 939/1019 (92.1) 287/299 (96.0)
 Missing, n 459 85

Data are mean ± standard deviation unless otherwise stated

CRT, central retinal thickness; DME, diabetic macular edema; IRF, intraretinal fluid; IVT-AFL, intravitreal aflibercept; SRF, subretinal fluid; VA, visual acuity

aProportions calculated based on the number of patients with data available at baseline

bFrance does not allow the collection of race data in clinical studies

cThe median is considered to be a more accurate reflection of the time from DME diagnosis to first IVT-AFL treatment, due to the effect of outliers on the mean value