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Table 1 Baseline characteristics of the subjects

From: Accuracy of the first interpretation of early brain CT images for predicting the prognosis of post-cardiac arrest syndrome patients at the emergency department

Variable Nagoya n = 48 Maebashi n = 58 Total n = 106
Demographics
 Age, years 64.0 (52.0–70.8) 64.0 (52.0–71.0) 64.0 (52.0–71.0)
 Sex, male, n (%) 41 (85.4) 46 (79.3) 87 (82.1)
 Length of stay in hospital, days 28.0 (19.0–51.0) 32.5 (19.3–57.8) 29.0 (19.0–54.0)
Condition of cardiac arrest
 Witness, n (%) 39 (81.3) 49 (84.5) 88 (83.0)
 Bystander, n (%) 29 (60.4) 32 (55.2) 61 (57.5)
 Initial rhythm, shockable, n (%) 27 (56.3) 39 (67.2) 66 (62.3)
Duration of resuscitation effort, min 18.0 (12.5–28.5) 18.0 (8.0–28.0) 18.0 (10.0–28.8)
Presumed cardiac etiology, n (%) 29 (60.4) 38 (65.5) 67 (63.2)
GCS, M ≥ 2, n (%)a 29 (61.7) 38 (66.7) 67 (64.4)
pHb 7.07 ± 0.03 7.14 ± 0.03 7.11 ± 0.02
Time to initiation of targeted temperature management, hours 2.5 (1.5–3.0) 2.5 (2.0–3.0) 2.5 (1.5–3.0)
Time to targeted setting temperature, hours 4.5 (3.4–6.0) 5.0 (3.0–9.0) 5.0 (3.0–7.0)
Outcome
 Good (CPC ≤ 2), n (%) 21 (43.8) 24 (41.4) 45 (42.5)
 Poor (CPC ≥ 3), n (%) 27 (56.2) 34 (58.6) 61 (57.5)
  1. Data are presented as the median and interquartile ranges (25–75% percentile) or as absolute frequencies with percentages. Data are presented as mean ± standard error, as the median and interquartile ranges (25–75% percentile) or as absolute frequencies with percentages
  2. Nagoya Nagoya University Hospital, Maebashi Japan Red Cross Maebashi Hospital, GCS Glasgow Coma Scale
  3. an = 2
  4. bn = 2