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*** |