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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