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Table 2 Characteristics of the study participants according to conversion from MCI to AD

From: Exploring small non-coding RNAs as blood-based biomarkers to predict Alzheimer’s disease

Variable

AD non-converters

AD converters

P value

n

117

74

 

Age (years)

69.8 (62.4, 76.4)

77.7 (72.8, 80.6)

 < 0.001***

Women [N (%)]

59 (50.4)

34 (45.9)

0.546

Body mass index (kg/m2)

27.0 (24.0, 28.8)

25.5 (23.5, 28.7)

0.140

APOE ε4 carriers [N (%)]

26 (22.0)

46 (62.2)

 < 0.001***

Education (years)

8 (6, 12)

8 (6, 10)

0.143

Smoking [N (%)]

   

 Never

85 (72.6)

48 (64.9)

0.254

 Former

19 (16.2)

21 (28.4)

0.045*

 Current

13 (11.1)

5 (6.8)

0.316

Medication [N (%)]

   

 Antidepressant and anxiolytic

61 (52.1)

27 (36.5)

0.035*

 Antihypertensive

37 (31.6)

35 (47.3)

0.029*

 Statins

28 (23.9)

24 (32.4)

0.199

 Other lipid-lowering drugs

8 (6.8)

5 (6.8)

0.983

MMSE at baseline (score)

27 (25, 28)

25 (23, 27)

 < 0.001***

A [N (%)]

28 (23.7)

69 (93.2)

 < 0.001***

T [N (%)]

27 (22.9)

66 (89.2)

 < 0.001***

N [N (%)]

18 (15.3)

50 (67.6)

 < 0.001***

Follow-up (years)

3.1 (2.2, 3.8)

1.3 (1.0, 2.5)

 < 0.001***

  1. AD Alzheimer’s disease, MCI mild cognitive impairment, MMSE mini-mental state examination
  2. Continuous data are presented as median (interquartile range), and categorical variables are presented as number (%). The Mann–Whitney test was used for comparison of non-normally distributed continuous variables, and the X2 test was used for comparison of categorical variables. *P value < 0.05, **P value < 0.01, ***P value < 0.001