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Table 1 Baseline Characteristics of the Learning and Validation Data Sets

From: A novel scoring system for predicting the neurologic prognosis prior to the initiation of induced hypothermia in cases of post-cardiac arrest syndrome: the CAST score

Variable

Learning data set

Validation data set

Nagoya n = 54

Chutouen n = 23

Komaki n = 10

Maebashi n = 64

Demographics

 Age, yr

62.5 (52.0-70.0)

67.0 (55.5-75.0)

47.0 (27.0-51.0)

61.0 (52.0-72.0)

 Length of stay in hospital, d

27.5 (17.0-52.3)

24.0 (9.0-52.0)

11.5 (5.8-52.5)

30.5 (18.0-67.5)

Condition of cardiac arrest

 Witness, n (%)

43 (79.6)

18 (78.3)

8 (80.0)

51 (79.7)

 Bystander, n (%)

28 (51.9)

15 (65.2)

4 (40.0)

36 (56.3)

 Initial rhythm, shockable, n (%)

30 (55.6)

8 (36.4)

4 (40.0)

45 (70.3)

Duration of resuscitation effort, min

20.0 (13.0-30.0)

20.5 (11.0-39.3)

24.0 (12.5-33.3)

15.0 (9.0-30.0)

Time to reach target temperature after cardiac arrest, hour

5.0 (3.5-6.0)

4.8 (4.0-6.8)

6.0 (4.0-8.0)

5.0 (3.0-8.0)

Outcome

 Good (CPC ≤ 2), n, (%)

23 (42.6)

11 (47.8)

3 (30.0)

27 (42.2)

 Poor (CPC ≥ 3), n, (%)

31 (57.4)

12 (52.2)

7 (70.0)

37 (57.8)

  1. Data are presented as the median and interquartile ranges (25–75% percentile) or as absolute frequencies with percentages. Nagoya Nagoya University Hospital, Chutouen Chutouen General Medical Center, Komaki Komaki City General Hospital, Maebashi Japan Red Cross Maebashi Hospital