Table 3.
Crude and Adjusted Poisson Regression Model to Assess the Parameters Associated with Extubation Failure in COVID-19 Mechanically Ventilated Patients.
Extubation Failure | ||
---|---|---|
CPR (95% CI) | APR# (95% CI) | |
Age, years | p = 0.083* | p = 0.016* |
15-50 | 1.00 | 1.00 |
51-65 | 2.09 (0.60-7.32) | 4.49 (1.15-17.67) |
≥ 66 | 2.76 (0.80-9.49) | 5.12 (1.35-19.46) |
Time of symptoms (days) | p = 0.001* | p = 0.016* |
5-15 | 1.00 | 1.00 |
16-30 | 3.16 (0.40-24.78) | 1.71 (1.14-21.40) |
≥31 | 10.53 (1.47-75.5) | 5.45 (0.48-62.19) |
Days of mechanical ventilation | p = 0.054 | p = 0.387 |
1-7 | 1.00 | 1.00 |
8-14 | 1.72 (0.57-5.21) | 2.13 (0.44-10.39) |
≥15 | 3.87 (1.22-12.3) | 2.53 (0.66-9.65) |
Dialysis | p < 0.001 | p = 0.001 |
No | 1.00 | 1.00 |
Yes | 4.43 (2.28-8.60) | 5.10 (2.00-13.00) |
PaO2/FiO2 | p = 0.031* | p = 0.005* |
<200 | 1.00 | 1.00 |
200-300 | 0.89 (0.38-2.07) | 0.69 (0.27-1.72) |
>300 | 0.25 (0.06-1.08) | 0.14 (0.04-0.55) |
CPR, crude prevalence ratio; APR, adjusted prevalence ratio; (95% CI), 95% confidence interval.
Adjusted for age, sex, time of symptoms, days of mechanical ventilation, dialysis, and PaO2/FiO2.
*Trend test.