Table 1 Baseline characteristics of the participants.

From: Deep phenotype unsupervised machine learning revealed the significance of pachychoroid features in etiology and visual prognosis of age-related macular degeneration

Number of patients

537

Male (%)

387 (72.1%)

Female (%)

150 (27.9%)

Age (years)

73.11 ± 8.43

History of CSC (%)

28 (5.2%)

LogMAR BCVA in CNV-affected eye

0.322 ± 0.363

Axial length in CNV-affected eye (mm)

23.62 ± 1.09

Retinal thickness in CNV-affected eye (μm)

402.80 ± 208.10

Choroidal thickness in CNV-affected eye (μm)

259.15 ± 108.94

Choroidal thickness in fellow eye (μm)

255.94 ± 104.79

CVH (+) in either eye (%)

125 (23.3%)

Polypoidal region (+) in CNV-affected eye

254 (47.3%)

Choroidal vessel dilation (+) in either eye

293 (54.6%)

Reduced fundus tessellation (+) in either eye

233 (43.4%)

Pseudodrusen (+) in either eye

29 (5.4%)

Type A drusen (+) in either eye

93 (17.3%)

Type B or C drusen (+) in either eye

337 (62.8%)

  1. All values are shown as mean ± standard deviation and compared using Wilcoxon test. Fisher’s exact test was used to evaluate every 2 × 2 table.
  2. CSC central serous chorioretinopathy, MAR minimum angle resolution, BCVA best-corrected visual acuity, CNV choroidal neovascularization, CVH choroidal vascular hyperpermeability.
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