Extraction of Clinical Indicators That Are Associated with the Heat/Nonheat and Excess/Deficiency Patterns in Pattern Identifications for Stroke
Table 1
Demographic parameters of enrolled participants.
Characteristics
QD
YD
FH
313
207
440
Sex (M/F)
107/206
91/116
334/106
<0.0001
Age (year)
67.37 ± 11.53
69.27 ± 12.37
65.75 ± 11.98
0.0019
Smoking (none/stop/active)
41/40/232
40/32/135
170/107/163
<0.0001
Drinking (none/stop/active)
68/31/214
58/19/130
214/55/171
<0.0001
Weight (kg)
56.66 ± 9.19
56.97 ± 11.25
64.97 ± 10.78
<0.0001
BMI (kg/m2)
22.74 ± 2.99
22.87 ± 4.43
24.16 ± 3.0
<0.0001
Waist circumference (cm)
84.57 ± 8.81
82.77 ± 9.16
88.33 ± 9.34
<0.0001
WHR
0.93 ± 0.11
0.93 ± 0.15
0.95 ± 0.10
NS
TOAST classification
LAA
51
47
117
0.0073
CE
20
15
34
SVO
182
95
199
SOE
7
7
5
SUE
14
10
22
Medical history
TIA (, %)
26 (8.31)
20 (9.66)
35 (7.99)
NS
Hypertension (, %)
180 (57.51)
123 (59.42)
258 (58.77)
NS
Hyperlipidemia (, %)
35 (11.18)
18 (8.70)
54 (12.33)
NS
Diabetes (, %)
82 (26.20)
47 (22.71)
116 (26.48)
NS
Heart disease (, %)
17 (5.43)
12 (5.80)
26 (5.92)
NS
Data was expressed as frequencies for categorical variables and expressed as mean ± standard deviation for continuous variables. YD: Yin deficiency; QD: Qi deficiency; FH: fire-heat; NS: not significant. values were calculated by chi-square test or ANOVA.
