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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