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Table 3 Comparison of basic characteristics between the two groups

From: Application of machine learning to predict the occurrence of arrhythmia after acute myocardial infarction

Characteristics

Arrhythmia

No (n = 1224)

Yes (n = 860)

P value

Demographics and history

Age, years

57.97 ± 11.38

61.68 ± 10.81

 < 0.001**

Sex (male), n (%)

942 (76.96)

611 (71.05)

0.002**

Prior MI, n (%)

86 (7.03)

81 (9.42)

0.048*

At admission

Heart rate, beats/min

75 (66, 86)

72 (62, 85)

 < 0.001**

SBP, mmHg

130 (117 ~ 150)

127 (112 ~ 144)

 < 0.001**

DBP, mmHg

83.84 ± 15.86

79.59 ± 16.68

 < 0.001**

Laboratory values

Pro-BNP (pg/mL)

1003.5 (420.0, 2207.0)

1202.0 (482.0, 2641.5)

0.003**

TNI (μg/L)

19.810 (1.1, 50.0)

30.785 (2.0, 54.0)

0.001**

CK-MB (μg/L)

74.0 (25.4, 161.6)

91.5 (33.7, 190.6)

0.001**

TG (mmol/L)

1.95 ± 1.15

1.82 ± 1.10

0.014*

Cr (μmol/L)

75.88 ± 37.08

79.88 ± 42.88

0.027*

Findings on ECG

BBB, n (%)

  

 < 0.001**

 LAFB, n (%)

214 (17.48)

175 (20.35)

 

 LBBB, n (%)

22 (1.80)

19 (2.21)

 

 LPFB, n (%)

49 (4.00)

35 (4.07)

 

 RBBB, n (%)

25 (2.04)

51 (5.93)

 

 LAFB + RBBB, n (%)

13 (1.06)

27 (3.14)

 

Q-Tc (ms)

439 (418, 462)

442 (418, 469)

0.014*

  1. * means P < 0.05, ** means P < 0.01