Table 1 Characteristics of the patients included in the analyses.

From: Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction

MGD level

N (female/male)

Age (years)

OSDI

FBUT (s)

Schirmer (mm)

ME

MQ

MG dropout

2

31 (23/8)

51.9 (17.0)

32.0 (24.7)

5.1 (4.1)

15.5 (10.2)

1.5 (0.7)

6.0 (2.4)

2.1 (1.0)

3

126 (88/38)

54.3 (17.8)

27.4 (16.4)

4.5 (3.6)

14.7 (10.5)

2.0 (0.5)

8.3 (3.6)

2.4 (0.9)

4

76 (59/17)

55.8 (17.9)

34.3 (22.0)

3.3 (2.7)

14.4 (9.3)

2.7 (0.5)

11.1 (6.7)

2.8 (0.9)

Total

233 (170/63)

54.5 (17.7)

30.3 (19.8)

4.2 (3.5)

14.7 (10.1)

2.2 (0.6)

8.9 (5.0)

2.5 (1.0 )

  1. Values are reported as mean with standard deviations in parentheses. Dry eye test results are for the left eye. ME, meibum expressibility; MQ, meibum quality; N, number of observations; OSDI, ocular surface disease index score.
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