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Table 2 Electroencephalography patterns and findings of the study patients according to electroencephalography timing

From: Background frequency can enhance the prognostication power of EEG patterns categories in comatose cardiac arrest survivors: a prospective, multicenter, observational cohort study

EEG findings

Total (N = 489)

Patients with EEG < 72 h

(N = 353)

Patients with EEG of 72 h to 7 days

(N = 136)

P value

EEG background frequency

   

0.220

 Predominant alpha waves

106 (21.7%)

84 (23.8%)

22 (16.2%)

 

 Predominant theta waves

127 (26.0%)

87 (24.6%)

40 (29.4%)

 

 Predominant delta waves

90 (18.4%)

67 (19.0%)

23 (16.9%)

 

 Undetermined

166 (33.9%)

115 (32.6%)

51 (37.5%)

 

Categorization

   

0.934

 Highly malignant pattern

199 (40.7%)

144 (40.8%)

55 (40.4%)

 

 Malignant pattern

124 (25.4%)

88 (24.9%)

36 (26.5%)

 

 Benign

166 (33.9%)

121 (34.3%)

45 (33.1%)

 

Highly malignant pattern

    

 Suppressed background without discharges

154 (31.5%)

106 (30.0%)

48 (35.3%)

0.261

 Suppressed background with continuous periodic discharges

10 (2.0%)

8 (2.3%)

2 (1.5%)

0.733

 Burst-suppression

35 (7.2%)

30 (8.5%)

5 (3.7%)

0.064

Malignant rhythmic or periodic features

67 (13.7%)

44 (12.5%)

23 (16.9%)

0.2

 Periodic discharges (≥ 50%)

30 (6.1%)

19 (5.4%)

11 (8.1%)

0.264

 Rhythmic spike-and-wave (≥ 50%)

28 (5.7%)

21 (5.9%)

7 (5.1%)

0.732

 Unequivocal seizures or status epilepticus

53 (10.8%)

37 (10.5%)

16 (11.8%)

0.683

Malignant background

85 (17.4%)

64 (18.1%)

21 (15.4%)

0.527

 Discontinuous (> 10% suppression)

16 (3.3%)

10 (2.8%)

6 (4.4%)

0.399

 Low voltage (< 20 μV)

61 (12.5%)

47 (13.3%)

14 (10.3%)

0.365

 Reversed anteroposterior gradient

14 (2.9%)

11 (3.1%)

3 (2.2%)

0.766

  1. Values are expressed as number (%)
  2. EEG, electroencephalography