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. Author manuscript; available in PMC: 2013 Dec 13.
Published in final edited form as: Neuroscience. 2012 Sep 15;226:197–207. doi: 10.1016/j.neuroscience.2012.08.049

Table 3.

Logistic regression analysis of single markers in different anesthetic groups.

Anesthesia Flow parameters Range Discrimination point Lower border Upper border Ratio of CPA to total number
ISO CBF % 9–74 62 12 112 26/32
No. of PIFTs 1–12 2.8 −1.2 6.8 27/32
Reperfusion % 65–302 75 6 144 26/32
Amplitude % 4–39 41 −15 98 25/32

HALO CBF % 17–76 56 −36 149 14/23
No. of PIFTs 2–10 5.1 2.6 7.6 20/23
Reperfusion % 67–196 103 21 186 17/23
Amplitude % 5–37 20 −9 49 15/23

ISO+HALO CBF % 9–76 59 0 118 41/55
No. of PIFTs 1–12 3.8 0.2 7.4 45/55
Reperfusion % 65–302 85 −1 171 41/55
Amplitude % 4–39 31 −18 80 36/55

Discrimination point distinguishes between animals with and without severe cortical infarct. Borders are parameter values beyond which the model would predict an animal with at least 95% certainty. CBF, amplitude and reperfusion are expressed as percent of pre-ischemic baseline. CPA=correctly predicted animals.