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. 2015 Dec 15;8(12):22440–22449.

Table 1.

Characteristics distribution of subjects

Total valid N No MACE (n=171) MACE (n=31) P-value
Age (years) 202 62.87±10.81 64.29±10.34 0.499
Gender 202 0.366
    Female 37 (21.64%) 9 (29.03%)
    Male 134 (78.36%) 22 (70.97%)
proBNP 195 161.25 (67.71-524.23) 234.1 (82.18-634.1) 0.119
LDL 182 2.76 (2.14-3.47) 2.64 (2.22-3.02) 0.389
SBP (mmHg) 202 130 (117-140) 128 (116-135) 0.554
DBP (mmHg) 202 75 (67-82) 78 (64-89) 0.76
HR 202 75 (68-80) 78 (68-83) 0.294
BMI (kg/m2) 202 24.42±2.86 25.44±3.81 0.164
Anterior MI 201 0.376
    No 133 (78.24%) 22 (70.97%)
    Yes 37 (21.76%) 9 (29.03%)
Killip gradea 202 0.061
    I 160 (93.57%) 26 (83.87%)
    II 8 (4.68%) 3 (9.68%)
    III 3 (1.75%) 1 (3.23%)
    IV 0 (0%) 1 (3.23%)
Smoker 200 0.801
    No 75 (44.38%) 13 (41.94%)
    Yes 94 (55.62%) 18 (58.06%)
ACEI/ARB 202 0.198
    No 37 (21.64%) 10 (32.26%)
    Yes 134 (78.36%) 21 (67.74%)
β-blocker 202 0.034
    No 22 (12.87%) 0 (0%)
    Yes 149 (87.13%) 31 (100%)
Statinsa 202 1
    No 3 (1.75%) 0 (0%)
    Yes 168 (98.25%) 31 (100%)
Hypertension 202 0.022
    No 70 (40.94%) 6 (19.35%)
    Yes 101 (59.06%) 25 (80.65%)
Diabetes 202 0.378
    No 119 (69.59%) 24 (77.42%)
    Yes 52 (30.41%) 7 (22.58%)
HRT-TO 110 -1.08 (-2.48-0) -0.84 (-1.24-1.04) 0.2
HRT-TS 110 5.05 (2.45-8.08) 5.3 (2.35-8.03) 0.943
HRV (SDNN) 167 108.64±30.54 93.68±31.17 0.034
TWA 99 45.5 (39-66.75) 59 (48-64) 0.184
VLP 151 < 0.001
    Negative 121 (70.76%) 8 (25.81%)
    Positive 14 (8.19%) 8 (25.81%)
VLP-fQRSd 151 87 (80-92) 92.5 (82-117.75) 0.031
VLP-RMS (40) 151 28.9 (23.7-39.85) 27.95 (18.03-36.1) 0.269
VLP-LAS (40) 151 30 (24-34) 32.5 (26.75-45.5) 0.039
LVEF (admission status) 178 61 (57-64) 59 (55.75-63) 0.24
LVEF (follow-up) 180 62 (59-64) 56 (51-64) 0.002
a

Analyzed by Fisher exact test for group comparison.

Continuous variables without normal distribution are presented as median and inter-quartile range (IQR), and Mann-Whitney tests used for group comparisons; continuous variables with normal distribution are presented as mean and standard deviation (SD) and independent t tests used for group comparisons. Categorical variables are presented as counts and percentages. Chi-square tests or Fisher exact tests were applied for comparisons.