Monitoring Neurological Injury by qEEG - Quantitative EEG Analysis Methods and Clinical Applications - page 186

0.8 0.8

0.7 0.7

Survivors (N=19)

0.6 0.6

0.5 0.5

0.4 0.4

0.3 0.3

0.2 0.2

Dead rats (N=5)

0.1 0.1

0 0

0.5 1 1.5 2 2.5 3 3.5 4

Time (hours postresuscitation)

Dead
(N=5)

Survivors
(N=19)

(a) (b)

1.2

Functional outcome
Good Bad

1

0.8 0.8

0.6

0.4

0.2

0

BL CA 30 min 1h 2h 4h 24h 48 h 72 h

Number of
rats:

24 24 24 24 24 21 21 20 19

(c)

100

60 minutes postresuscitation

80

60

40

20

0

0 20 40 60 80 100

100 specificity

(d)
Figure 7.11 Comparison of qEEG- IQ for (a) nonsurviving and surviving animals; rats that died
within 72-hour postresuscitation had lower IQ values over the 72-hour experiment than survivors. (b)
Rats that died prematurely showed significantly lower IQ during each 30-minute interval compared
with an average of the first 4 hours (0.60 ± 0.02). The black line is the MEAN and the shadow is the
SEM for survivors ( p

0.05). (c) Rats with a bad functional outcome (NDS < 60) had significantly
lower qEEG-IQ values over 72 hours than those with a good functional outcome (NDS = 60). (d) This
1-hour postresuscitation ROC curve demonstrates the IQ value ( x ) with optimal sensitivity and speci-
ficity for good neurological outcomes. A cutpoint of > 0.523 yielded 81.8% sensitivity and 100%
specificity for good outcomes, with an area under the ROC curve of 0.886. ( From: [63]. © 2008
Lippincott Williams & Wilkins. Reprinted with permission.)

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