Table 2.
Three Logistic Regression Models with Group Status (Clinical vs. Control) as Dependent Variable
| n = 112 | Estimate | Odds ratio | p | AIC | Log odds ratio for classification of cases |
|---|---|---|---|---|---|
| Model 1 (HF) | 82.2 | 3.90 | |||
| ETCO2 | 6.36 | 578.54 | < .0001 | ||
| RR | 0.00 | 1.00 | .96 | ||
| HR | 0.11 | 1.12 | .004 | ||
| HF | 1.04 | 2.84 | .01 | ||
| Model 2 (LF) | 85.1 | 3.44 | |||
| ETCO2 | 6.34 | 566.90 | < .0001 | ||
| RR | 0.02 | 1.02 | .83 | ||
| HR | 0.08 | 1.09 | .02 | ||
| LF | 0.81 | 2.25 | .04 | ||
| Model 3 (SDNN) | 79.4 | 3.44 | |||
| ETCO2 | 6.30 | 546.30 | < .0001 | ||
| RR | 0.02 | 1.02 | .81 | ||
| HR | 0.12 | 1.13 | .002 | ||
| SDNN | 3.36 | 28.89 | .004 |
Note. The three models exchange heart rate variability (HRV) index as independent variable so that Model 1 includes HF; Model 2, LF; and Model 3, SDNN. End-tidal CO2 (ETCO2), respiratory rate (RR), and heart rate (HR) are included as independent measures in all models. Akaike information criterion (AIC) and log odds ratio for classification of cases are reported as measures of the relative quality of the models.