Table 1 Comparison of demographics and clinical features between patients with and without pathologic myopia.

From: Machine learning prediction of pathologic myopia using tomographic elevation of the posterior sclera

Variables

Overall

Healthy myopia eyes

Pathologic myopia eyes

P value

No. of eyes (%)

860 (100)

728 (84.65)

132 (15.34)

 

Age (years old)

52.43 ± 14.14

51.80 ± 13.83

55.89 ± 15.31

0.004

Male, n (%)

510 (59.30)

451 (61.95)

59 (44.70)

 < 0.001

Axial length (mm)

26.00 ± 1.61

25.68 ± 1.23

27.75 ± 2.25

 < 0.001

BCVA (logMAR units)

0.09 ± 0.16

0.06 ± 0.11

0.22 ± 0.28

 < 0.001

Classification of staphyloma, n (%)

Type 1, n (%)

16 (1.86)

0

16 (1.86)

 

Type 2, n (%)

26 (3.02)

0

26 (3.02)

 

Type 3, n (%)

25 (2.91)

0

25 (2.91)

 

Type 4, n (%)

6 (0.70)

0

6 (0.70)

 

Type 5, n (%)

25 (2.91)

0

25 (2.91)

 

Others, n (%)

7 (0.81)

0

7 (0.81)

 

Modified myopic maculopathy according to META-PM study, n (%)

Category 0 (no maculopathy)

687 (79.88)

663 (91.07)

24 (18.18)

 

Category 1 (tessellated fundus)

131 (15.23)

65 (8.93)

66 (50.0)

 

Category 2 (diffuse atrophy)

28 (3.26)

0

28 (21.21)

 

Category 3 (patchy atrophy)

8 (0.93)

0

8 (6.06)

 

Category 4 (macular atrophy)

6 (0.70)

0

6 (4.55)

 

Myopic CNV

23 (2.67)

0

23 (17.42)

 

Lacquer cracks

17 (1.97)

0

17 (12.89)

 
  1. BCVA best corrected visual acuity, CNV choroidal neovascularization, No. number.
  2. Data are presented as mean ± standard deviation unless otherwise indicated.
  3. Independent t-test for continuous variables.
  4. χ2 test for categorical variables.
  5. §statistically significant values (P < 0.05) are shown in bold.