Table 2.
Multivariable logistic regression analyses of driving pressure and in-hospital mortality.
| Variable | Crude model, n = 632 | P value | Minimally adjusted model, n = 632 | P value | Fully adjusted model, n = 603 | P value |
|---|---|---|---|---|---|---|
| Driving pressure (cmH2O) | 1.07 (1.02, 1.11) | 0.0022 | 1.09 (1.04, 1.14) | 0.0002 | 1.12 (1.06, 1.18) | <0.001 |
|
| ||||||
| Driving pressure tertials | ||||||
| Low | Reference | Reference | Reference | |||
| Mid | 0.72 (0.46, 1.12) | 0.1430 | 0.71 (0.45, 1.12) | 0.1376 | 0.74 (0.44, 1.23) | 0.242 |
| High | 1.65 (1.09, 2.49) | 0.0174 | 1.89 (1.23, 2.90) | 0.0039 | 2.26 (1.36, 3.77) | 0.002 |
| P for trend | 0.009 | 0.0019 | 0.002 | |||
Crude model: no other covariates were adjusted. Minimally adjusted model: we adjusted age and sex. Fully adjusted model: we adjusted age, sex, BMI, heart rate, MAP, WBC, hemoglobin, creatinine, CVP, NT-proBNP, PEEP, PH, PaO2, PaCO2, PF ratio, ventilation mode (CMV), VT/PBW, Elixhauser score, SOFA score, and SAPS score.