Table 1 Discovery cohort clinical and demographic characteristics

From: Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke

 

Control (n=24)

AIS (n=39)

Statistic (df)

P

Age (mean±s.d.)

59.9±9.7

73.1±14.0

t=−4.40 (61)

>0.001*

Female n (%)

14 (58.3)

22 (56.4)

χ2=0.12 (1)

0.731

NIHSS (mean±s.d.)

0±0.0

5.3±6.4

t=5.17 (38)

>0.001*

Family history of stroke n (%)

4 (16.7)

15 (38.5)

χ2=7.02 (1)

0.008*

Hypertension n (%)

7 (29.2)

25 (64.1)

χ2=11.2 (1)

0.001*

Dyslipidaemia n (%)

0 (0.00)

18 (46.2)

χ2=15.5 (1)

>0.001*

Diabetes n (%)

2 (8.30)

11 (28.2)

χ2=3.58 (1)

0.058

Previous stroke n (%)

2 (8.30)

6 (15.4)

χ2=0.67 (1)

0.414

Atrial fibrillation n (%)

0 (0.00)

6 (15.4)

χ2=4.08 (1)

0.043*

Myocardial infarction n (%)

0 (0.00)

6 (15.4)

χ2=4.08 (1)

0.043*

Hypertension medication n (%)

8 (33.3)

29 (74.4)

χ2=10.3 (1)

0.001*

Diabetes medication n (%)

1 (4.20)

7 (17.9)

χ2=2.55 (1)

0.111

Cholesterol medication n (%)

5 (20.8)

17 (43.6)

χ2=3.39 (1)

0.066

Anticoagulant or antiplatelet n (%)

1 (4.20)

20 (51.3)

χ2=14.9 (1)

>0.001*

rtPA n (%)

0 (0.00)

9 (23.1)

χ2=6.46 (1)

0.011*

Current smoker n (%)

2 (8.30)

2 (5.13)

χ2=0.26 (1)

0.612

  1. Abbreviations: AIS, acute ischaemic stroke; df, degrees of freedom; NIHSS, National Institutes of Health stroke scale; rtPA, recombinant tissue plasminogen activator.
  2. *Indicates statistically significant values.