Table 4.
Multivariable logistic regression exploring the relationship of clinical variables with patient outcome.
| Model 1: Clinical Variables Only | |||
|---|---|---|---|
| Variable | Odds Ratio of good outcome |
95% Confidence Interval |
p-value |
| Arrest duration < 20 minutes | 6.1 | 1.7–22.2 | 0.006 |
| Dexmedetomidine infusion | 10.1 | 1.5–68.2 | 0.02 |
| Model 2: Clinical and EEG Variables | |||
|---|---|---|---|
| Variable | Odds Ratio of good outcome |
95% Confidence Interval |
p-value |
| Arrest duration < 20 minutes | 3.8 | 0.96–15.1 | 0.06 |
| Dexmedetomidine infusion at time of EEG |
8.2 | 1.2–57.1 | 0.03 |
| Normal/slow EEG background in first hour of EEG monitoring |
4.1 | 1.1–15.9 | 0.04 |
Model 1 notes:
1. Lorazepam administration was removed from the model due to perfect prediction of poor outcome.
2. Model characteristics: chi square with 2 degrees of freedom = 13.1, p=0.001; r2 = 0.25; ROC = 0.78; Pearson’s chi square goodness of fit p=0.02.
3. Classification table results: model correctly classified 75.9% of subjects.
Model 2 notes:
1. The following variables were removed from the model due to perfect prediction of poor outcome: (1) lorazepam infusion and (2) seizures within the first hour of EEG monitoring
2. Model characteristics: chi square with 3 degrees of freedom = 16.5, p=0.0009; r2 = 0.36; ROC = 0.81; Pearson’s chi square goodness of fit p=0.21.
3. Classification table results: model correctly classified 75.9% of subjects.