Table 1 The characteristics of participants.

From: Development and validation of CNN-MLP models for predicting anti-VEGF therapy outcomes in diabetic macular edema

Clinical Values

Total

(n = 272)

Training Set

(n = 217)

Validation Set

(n = 55)

Age, median(range), y

59(33–84)

59(33–84)

60(33–84)

Gender

Male, no. (%)

167(61.4%)

135(62.21%)

32(58.18%)

Female, no. (%)

105(38.6%)

82(37.79%)

23(41.82%)

Eye

Right, no. (%)

153(56.25%)

122(56.22%)

31(56.36%)

Left, no. (%)

119(43.75%)

95(43.78%)

24(43.64%)

IOP, mean (SD)

16.283(3.801)

16.456(4.081)

15.600(2.298)

Anti-VEGF drugs

Ranibizumab, no. (%)

60(22.06%)

50(23.04%)

10(18.18%)

Conbercept, no. (%)

182(66.91%)

141(64.98%)

41(74.55%)

Aflibercept, no. (%)

30(11.03%)

26(11.98%)

4(7.27%)

Follow-up time, mean (SD), d

31.658(20.472)

32.005(20.300)

30.291(21.272)

Pretherapy

BCVA, median (25%,75%)

0.699(0.398,1)

0.699(0.398,1)

0.699(0.460,1)

CST, mean (SD), µm

369.540(158.233)

362.917(149.169)

395.672 ± 189.139

CV, mean (SD), mm3

14.454(5.480)

14.207(5.394)

15.429 ± 5.756

CAT, mean (SD), µm

369.438(74.866)

366.259(74.280)

381.977 ± 76.535

Post-treatment

BCVA, median (25%,75%)

0.699(0.301,1)

0.699(0.301,1)

0.602(0.398,0.921)

CST, mean (SD), µm

309.648(124.630)

311.227(120.060)

303.416(142.278)

CV, mean (SD), mm3

12.982(3.012)

12.862(2.944)

13.460(3.248)

CAT, mean (SD), µm

350.625(66.037)

349.923(63.827)

353.395(74.697)

Prognosis (improved)

BCVA, no. (%)

131(48.16%)

99(45.62%)

32(58.18%)

CST, no. (%)

184(67.65%)

146(67.28%)

38(69.09%)

CV, no. (%)

193(70.96%)

150(69.12%)

43(78.18%)

CAT, no. (%)

191(70.22%)

149(68.66%)

42(76.36%)