Skip to main content

Table 1 Baseline data for the total population and for both groups

From: Machine learning is an effective method to predict the 90-day prognosis of patients with transient ischemic attack and minor stroke

 

Total

N=10967

mRS(0-2)

N=10234(93.32)

mRS(3-6)

N=733(6.68)

P value

Demographics

 Female, n (%)

3365(30.68)

3077(30.07)

288(39.29)

<0.0001

 Age, mean (SD)

61.77±11.18

61.38±11.03

67.21±11 .79

<0.0001

Family income/monthly, n (%)

   

0.0108

 <700 Yuan

565(5.15)

525(5.13)

40(5.46)

 

 700~1500Yuan

1511(13.78)

1424(13.91)

87(11.87)

 

 1501~2300Yuan

2344(21.37)

2181(21.31)

163(22.24)

 

 >2300Yuan

3894(35.51)

3657(35.73)

237(32.33)

 

 Unknown

2653(24.19)

2447(23.91)

206(28.10)

 

Education level, n (%)

   

0.0264

 college or above

1021(9.31)

967(9.45)

54(7.37)

 

 high school

2242(20.44)

2100(20.52)

142(19.37)

 

 junior school

3229(29.44)

3061(29.91)

168(22.92)

 

 primary school

2175(19.83)

2017(19.71)

158(21.56)

 

 illiteracy

730(6.66)

643(6.28)

87(11.87)

 

 Unknown

1570(14.32)

1446(14.13)

124(16.92)

 

smoking history, n (%)

3509(32.00)

3346(32.69)

163(22.24)

<0.0001

Drinking history(≥20g/day), n (%)

1558(14.21)

1485(14.51)

73(9.96)

0.0007

Physiological data, mean (SD)

 Systolic blood pressure

149.67±21.87

149.43±21.75

153.00±23.22

<0.0001

 Heart rate

75.24±11.19

75.12±11.16

76.91±11.49

<0.0001

medical history, n (%)

 Stroke

2317(21.13)

2085(20.37)

232(31.65)

<0.0001

 Hypertension

6865(62.60)

6366(62.20)

499(68.08)

0.0015

 Diabetes

2532(23.09)

2323(22.70)

209(28.51)

0.0003

 Heart disease

1383(12.61)

1267(12.38)

116(15.83)

0.0067

secondary prevention treatment, n (%)

 Anti-platelet

10637 (97.61)

9938(97.73)

699(95.88)

0.0019

 Anticoagulation

905(8.30)

805(7.92)

100(13.72)

<0.0001

 Antidiabetic

2721(24.97)

4767(46.88)

355(48.70)

0.0014

 Expansion treatment

1526(14.01)

1400(13.77)

126(17.28)

0.0081

swallowing function, n (%)

273(2.84)

208(2.32)

65(9.73)

<0.0001

Limb rehabilitation, n (%)

7466(68.08)

6913(67.55)

553(75.44)

<0.0001

Laboratory data, mean (SD)

 FBG

6.34±2.53

6.31±2.51

6.73±2.76

0.0002

 Creatinine

73.01±29.79

72.80±28.57

75.91±43.27

0.0091

 D-dimer

1.39±2.37

1.36±2.29

1.89±3.24

<0.0001

 C-reactive protein

5.84±21.96

5.47±21.26

10.99±29.49

<0.0001

 Triglycerides

1.69±2.83

1.70±2.91

1.655±1.09

0.0069

Neurological severity

 admission NIHSS score, median (IQR)

2(1-4)

2(0-4)

3(2-4)

<0.0001

 Discharge NIHSS score, mean (IQR)

1(0-2)

1(0-2)

3(1-6)

<0.0001

Admission mRS, mean (IQR)

1(1-2)

1(1-2)

2(1-3)

<0.0001

Discharge mRS, mean (IQR)

1(0-1)

1(0-1)

3(1-4)

<0.0001

TOAST classification, n (%)

   

<0.0001

 LAA, n (%)

2509(22.88)

2268(22.16)

241(32.88)

 

 CE, n (%)

573(5.22)

520(5.08)

53(7.23)

 

 SAO, n (%)

2561(23.35)

2458(24.02)

103(14.05)

 

 ODC, n (%)

128(1.17)

117(1.14)

11(1.50)

 

 UND, n (%)

5196(47.38)

4871(47.60)

325(44.34)

 
  1. Abbreviations: NIHSS National Institutes of Health Stroke Scale, FBG Fasting blood glucose, TOAST The Trial of Org 10172 in Acute Stroke Treatment (TOAST) criteria, LAA Large-artery atherosclerosis, CE Cardioembolism, SAO Small-vessel occlusion, ODC Stroke of other determined etiology; and UND:stroke of undermined etiology [17], IQR Interquartile range, SD Standard deviation
Back to article page

BMC Medical Research Methodology

ISSN: 1471-2288

Contact us