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Table 1 Baseline demographic and clinical characteristics of the sample included

From: Machine learning and optical coherence tomography-derived radiomics analysis to predict persistent diabetic macular edema in patients undergoing anti-VEGF intravitreal therapy

Characteristic

  

Eye level

 

N = 113

Laterality

Right (%)

58 (51.33)

 

Left (%)

55 (48.67)

Classification

PDME (%)

38 (33.63)

 

NPDME (%)

75 (66.37)

CST, µm

Mean (SD)

478 (172)

 

Median (IQR)

443 (205)

Interval between 1st and 3rd treatments, days

Mean (SD)

98.17 (44.57)

Median (IQR)

76 (56)

Participant level

 

N = 82

Sex

Male (%)

56 (68.29)

 

Female (%)

26 (31.71)

Age, years

Mean (SD)

54 (10)

 

Median (IQR)

55 (11.00)

HbA1c, %

Mean (SD)

7.60 (1.28)

 

Median (IQR)

7.35 (1.76)

Eye involvement

Unilateral (%)

51 (62.20)

 

Bilateral (%)

31 (37.80)

  1. Abbreviations: CST, central subfield thickness; HbA1c, glycated haemoglobin; IQR, interquartile range; NPDME, non-persistent diabetic macular edema; PDME, persistent diabetic macular edema; SD, standard deviation