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Table 1 Baseline characteristics

From: Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography

Variables

Non-event patients

n = 24,618

Cardiac arrest patients

n = 1054

P-value

Male, n (%)

13,072 (53.1)

558 (52.9)

0.888

Age, year (mean (sd))

60.67 (16.69)

72.37 (13.24)

< 0.001

Admission to ICU, n (%)

279 (1.1)

638 (60.5)

< 0.001

Emergent admission, n (%)

10,491 (42.6)

800 (75.9)

< 0.001

Admission division, n (%)

  

< 0.001

 Cardiovascular

13,836 (56.2)

760 (72.1)

 

 Cerebrovasclar

2474 (10.0)

142 (13.5)

 

 Respiratory disease

810 (3.3)

63 (6.0)

 

 Other internal medicines

2934 (11.9)

64 (6.1)

 

 Major surgery

4306 (17.5)

18 (1.7)

 

 Others

258 (1.0)

7 (0.7)

 

Length of stay, day (mean (sd))

9.34 (15.20)

54.35 (114.36)

< 0.001

Heart rate, bpm (mean (sd))

74.57 (17.76)

93.43 (27.91)

< 0.001

PR interval, msec (mean (sd))

172.03 (31.72)

170.65 (41.28)

0.262

QT interval, msec (mean (sd))

406.41 (47.17)

393.70 (71.65)

< 0.001

QTc (mean (sd))

445.79 (38.02)

474.27 (46.81)

< 0.001

QRS duration, msec (mean (sd))

97.25 (19.25)

107.62 (28.58)

< 0.001

P wave axis (mean (sd))

43.20 (31.26)

44.89 (47.43)

0.190

R wave axis (mean (sd))

36.14 (46.52)

39.15 (75.26)

0.046

T wave axis (mean (sd))

51.17 (59.34)

86.39 (92.21)

< 0.001