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Table 4 Comparison of median absolute error and percentage of eyes that achieved a postoperative refractive prediction error within ±0.25 D by the Haigis formula between the Akreos AO and Softec HD™ groups in Monte Carlo simulation

From: Comparative evaluation of refractive outcomes after implantation of two types of intraocular lenses with different diopter intervals (0.25 diopter versus 0.50 diopter)

 

Akreos AO

(n = 40)

Softec HD™

(n = 40)

P-value

Simulation 1

MedAE, Da

0.21 (0.08: 0.27)

0.06 (0.02: 0.09)

<  0.001b

RE < ± 0.25 D, n (%)

28 (70.0)

40 (100.0)

<  0.001c

Simulation 2

MedAE, Da

0.24 (0.09: 0.35)

0.06 (0.03: 0.10)

<  0.001b

RE < ± 0.25 D, n (%)

22 (55.0)

40 (100.0)

<  0.001c

Simulation 3

MedAE, Da

0.14 (0.08: 0.29)

0.06 (0.04: 0.09)

<  0.001b

RE < ± 0.25 D, n (%)

29 (72.5)

40 (100.0)

<  0.001c

Simulation 4

MedAE, Da

0.18 (0.11: 0.33)

0.05 (0.02: 0.07)

<  0.001b

RE < ± 0.25 D, n (%)

26 (65.0)

40 (100.0)

<  0.001c

Simulation 5

MedAE, Da

0.23 (0.09: 0.33)

0.05 (0.03: 0.10)

<  0.001b

RE < ± 0.25 D, n (%)

22 (55.0)

39 (97.5)

<  0.001c

Simulation 6

MedAE, Da

0.27 (0.13: 0.37)

0.05 (0.04: 0.08)

<  0.001b

RE < ± 0.25 D, n (%)

18 (45.0)

40 (100.0)

<  0.001c

Simulation 7

MedAE, Da

0.22 (0.12: 0.39)

0.06 (0.04: 0.11)

<  0.001b

RE < ± 0.25 D, n (%)

23 (57.5)

39 (97.5)

<  0.001c

Simulation 8

MedAE, Da

0.18 (0.06: 0.31)

0.06 (0.03: 0.10)

<  0.001b

RE < ± 0.25 D, n (%)

24 (60.0)

40 (100.0)

<  0.001c

Simulation 9

MedAE, Da

0.24 (0.11: 0.34)

0.05 (0.02: 0.10)

<  0.001b

RE < ± 0.25 D, n (%)

23 (57.5)

40 (100.0)

<  0.001c

Simulation 10

MedAE, Da

0.19 (0.11: 0.35)

0.04 (0.02: 0.09)

<  0.001b

RE < ± 0.25 D, n (%)

23 (57.5)

40 (100.0)

<  0.001c

  1. MedAE Median absolute error, D Diopters, RE Mean refractive prediction error
  2. aValues are presented as median (interquartile range)
  3. bMann–Whitney U test
  4. cChi-square test