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Table 1 Basic information and risk factors of included participants

From: Identification of novel diagnostic panel for mild cognitive impairment and Alzheimer’s disease: findings based on urine proteomics and machine learning

 

AD (n = 57)

MCI (n = 43)

CN (n = 62)

p

Age (median, P25, P75)

79 (72.5, 82)

74 (68, 78)

70(63.75, 73.5)

< 0.001a

Gender (male/female)

27/30

14/29

22/40

0.253

Living alone (yes/no)

1/56

0/43

2/60

0.482

Education (median, P25, P75)

12 (9, 16)

12 (9, 15)

15 (11, 16)

0.054

Smoking (yes/no)

15/42

8/35

10/52

0.366

Hypertension (yes/no)

22/35

15/28

31/31

0.247

Diabetes (yes/no)

11/46

5/38

16/46

0.199

Hyperlipidemia (yes/no)

23/34

23/20

35/27

0.186

Heart diseases (yes/no)

16/41

10/33

10/52

0.288

Cerebrovascular diseases (yes/no)

14/43

8/35

11/51

0.618

Family history (yes/no)

10/47

7/36

13/49

0.808

APOE (ε4 carrier/non-carrier)

27/30

21/22

14/48

0.005ab

  1. aSignificant differences between AD and CN (Bonferroni-corrected p < 0.05)
  2. bSignificant differences between MCI and CN (Bonferroni-corrected p < 0.05)