Sample Description
The demographics of each sample group (i.e. 39 cases from Hadassah Ein Keren Hospital and 24 from Barraquer Clinic) are detailed in Table 1.
Table 1. Demographics of the two studied groups
Group
|
Ethnicity
|
Mean Age
|
Gender
|
Laterality
|
N
|
Hadassah Ein Keren Hospital, Jerusalem, Israel
|
Jewish; Arabic
|
68.67 yo,
SD ± 10,25
Min: 43
Max: 85
|
Male: 43.85%
Female: 56.41%
|
Right: 58.97%
Left: 41.02%
|
39
|
Clínica Barraquer, Bogotá- Colombia
|
Latin American - Hispanic
|
60.41 yo,
SD ± 12,14
Min: 37
Max : 81
|
Male: 41.66 %
Female: 58.33%
|
Right: 66.6 %
Left: 33.3 %
|
24
|
|
|
|
|
|
Total = 63
|
yo: years old; SD: Standard Deviation; Min: Minimum; Max: Maximum, n: Number of eyes studied.
The pre and post-operative statuses of the assessed variables are summarized in Table 2.
Table 2. Variables included in the present study
Variable
|
Mean
|
Standard Deviation
|
Minimum
|
Maximum
|
PreOp VA (Logmar)
|
0.494
|
0.346
|
0.041
|
1.477
|
PostOp VA (Logmar)
|
0.101
|
0.1043
|
0
|
0.301
|
Flat K
|
42.99 D
|
1.61906832 D
|
39.38 D
|
46.81 D
|
Steep K
|
44.09 D
|
1.76891495 D
|
40.23 D
|
48.5 D
|
Mean K
|
43.54 D
|
1.62941283 D
|
40.08 D
|
47.2 D
|
L
|
26.94 mm
|
1.107 mm
|
25.22 mm
|
30.08 mm
|
PreOp: Preoperative; PostOp: Postoperative; VA: Visual acuity; K: Keratometry; L: Axial length; n = 63.
The target preoperative refraction had a mean of -1,171 (Min -5 Max: 0.68, SD 1.330). Whereas the postoperative refraction had a mean Sphere of -0,783 (Min -4,25 ; Max:1,5 ; SD 1.382) and a mean Cylinder of - 0,900 (Min -4 Max: 0 , SD 0.745).
Preoperative pathology was found in eight out of 63 eyes (12.69%): one case of uveitis (1.59%), one case of temporary diplopia (1.59%), one case of pseudo exfoliation syndrome (1.59%), one case with peripheral lesions requiring laser treatment (1.59%), and one case of extrafoveal choroidal neovascularization (1.59%). Three patients presented with atrophic macular changes outside the fovea (4.76%). Any pathology found was confirmed to be stable and not affecting visual acuity before cataract surgery took place, these cases were allowed in the analysis group provided that none of the changes was found to affect visual acuity.
Ranking of Formulas
Of the tested equations, the most accurate was the SRK/T formula (MedAE = 0.352), followed by T2 (MedAE = 0.381) and Holladay 1 (MedAE = 0.389) formulas (Table 3, Graph 1). Lin’s correlation12 factor was used to analyze the MedAE of the three methods (Table 4).
Table 3.0 Summary of the prediction error in the present study
Formula
|
MAE
|
Standard Deviation
|
Minimum
|
Maximum
|
MedAE
|
≤±0.50 D
|
≤±1.0 D
|
Sum of errors
≤±0.50 D +
≤±1.0 D
|
>2.00D
|
SRK/T
|
0.418
|
0.327
|
0.003
|
1.359
|
0.352
|
71.42%
|
20.63%
|
92,05%
|
7.93%
|
Holladay1
|
0.455
|
0.314
|
0.037
|
1.404
|
0.389
|
61.90%
|
31.74%
|
93,64%
|
6.35%
|
T2
|
0.435
|
0.328
|
0.014
|
1.389
|
0.381
|
69.84%
|
22.22%
|
92,06%
|
7.94%
|
MAE: Mean absolute error, MedAE: Median absolute error, T2: T2 formula, n = 63
Table 4.0 Lin’s correlation coefficient of the median absolute error of the methods used in the present study.
|
T2
|
HOLLADAY 1
|
SRK/T
|
ρc = 0.9829
95% CI = 0.9720 to 0.9896
|
ρc = 0.9537
95% CI = 0.9253 to 0.9715
|
T2
|
|
ρc = 0.9575
95% CI = 0.9311 to 0.9739
|
ρc: Lin’s concordance correlation coefficient, 95% CI: 95% confidence interval. n= 63
A substantial correlation was found between the T2 and SRK/T formulas. Correlations between the SRK/T and Holladay 1 formulas and between the Holladay 1 and T2 formulas were also substantial, but with only moderate lower limits of the confidence intervals.
Analysis of Calculation Methods
Since the main difference between the T2 and SRK/T formulas is the estimation of H, the behaviors of L and keratometry were analyzed respect to Corneal Height.
L is used without any modification in H2, while an adjusted L (LCOR) is required by the HSRK/T formula. A correlative analysis was performed between both H-calculation methods and L, with the results being a very low correlation between HSRK/T and L (Table 5) but a strong positive correlation between H2 and L (r = 0.808; p < 0.05).
Table 5.0 Correlation between different methods of Corneal Height estimation and associated variables.
|
Axial Length
|
Mean Keratometry
|
HSRKT
|
r = 0.224
p = 0.078
|
r = 0.805
p < 0.01
|
H2
|
r = 0.808
p < 0.01
|
r = 0.265
p < 0.05
|
H2.2
|
r = 0.425
p < 0.01
|
r = 0.695
p < 0.01
|
HSRK/T: Corneal height estimation using SRK/T, H2: Corneal height estimation using T2, H2.2: Corneal height estimation using the alternative T2 formula.
This finding is important for the following reasons: (1) it suggests that L has a strong effect on the estimation of H calculated with the method included in the T2 formula; (2) it might explain the higher MedAE seen in highly myopic eyes with the T2 formula; and (3) it indicates that LCOR may be why L has less impact when H is estimated with the SRK/T approach.
In summary, modifying the calculation of H in the T2 formula improves its accuracy, resulting in a lower MedAE in eyes with normal L. However, the benefit of this adjustment seems to be lost in longer eyes, probably due to the effect of L on the estimation of H. On the other hand, the SRK/T formula seems to be less affected by an extreme L, which could be associated with the inclusion of LCOR in its design.
The second variable needed to calculate H is the keratometry. The average keratometry was found to have a strong positive relationship with HSRK/T (r = 0.805, p < 0.05), but a negligible correlation with H2 (r = 0.265, p < 0.05).
Improvement Options
Corneal Height (H) The performed analyses suggested that the presence of LCOR reduces the impact of extreme AL values in the estimation of H. Therefore, including the corrected AL in the T2 formula might improve its behavior in long eyes. Therefore, a formula which might both, solve the SRK/T cusp problem and include LCOR was needed. The easiest way to complete this task was using the second regression formula described by Sheard et al. in the original paper on the T2 formula. This second regression formula was excluded from the final T2 method because of its slightly lower correlation.7 In the present study, this formula is named H2.2 and is calculated as follows:
H2.2 = -11.980+ 0.38626 × LCOR + 0.14177 × K
Estimations of H using the H2.2 formulas were compared with results obtained using the HSRK/T and H2 formulas (Graph No. 2, Table 6). The H2.2 method reduced the mean H value and the reported range of values.
Table 6.0 Corneal Height estimation using three methods
|
Minimum
|
Maximum
|
Mean
|
Standard Deviation
|
HSRKT
|
3.5101
|
6.6086
|
4.2713
|
±0.5490
|
H2
|
3.7947
|
5.4057
|
4.3567
|
±0.3503
|
H2.2
|
3.6395
|
4.7624
|
4.0631
|
±0.23624
|
HSRK/T: Corneal height estimation using SRK/T, H2: Corneal height estimation using T2, H2.2: Corneal height estimation using the alternative T2 formula, n = 63.
Statistically significant differences were found between the H2.2 and H2 formulas (p < 0.005), as well as between the H2.2 and HSRK/T formulas (p < 0.005). A moderate correlation was found between H2.2 and average keratometry (r = 0.695, p < 0.05), and a low correlation was found between L and H2.2 (r = 0.425, p < 0.05).
These results suggest that the H2.2 formula might improve H estimations, reducing the mean H, the range of extreme values, and the influence of very high keratometry and L values. When H2.2 was used to estimate IOL, the MAE and MedAE were respectively 0.433 and 0.3815 (Table 7).
Table 7. Prediction error applying T2 with the alternative corneal height estimation method and optimization of axial length
Formula
|
MAE
|
Standard Deviation
|
Minimum
|
Maximum
|
MedAE
|
≤±0.50 D
|
≤±1.0 D
|
Sum of errors
≤±0.50 D +
≤±1.0 D
|
>2.00D
|
T2 using H2.2 alone
|
0.433
|
±0,0117
|
0.0032
|
1.3856
|
0,3816
|
69,84%
|
22,22%
|
92.06
|
7,93%
|
T2 using H2.2 and optimized L
|
0,425
|
±0,3318
|
0,0025
|
1,382
|
0,3648
|
68.25%
|
23.81%
|
92.06
|
0%
|
H2.2= Corneal height estimation according to the alternative T2 formula, Optimized L: Adjustment of L according to Wang L et al. 13 n=63.
While these results are only slightly better than T2 formula, a better estimation of H in highly myopic patients is obtained.
Optimized Axial Length An additional approach to improve results of the T2 formula in highly myopic eyes is to optimize axial length. Since H2.2 includes LCOR, the method described by Wang L et al.13 for the SRK/T formula can be used directly. When this approach was tested, the MedAE and MAE were even lower than obtained with H2.2 alone (Table 7).