Cox hazard regression analysis
In Cox multivariate regression model analysis, with ventilator weaning
as outcome, time was defined as the number of days of mechanical
respiratory assistance, the start time was the time of admission to the
ICU, and the follow-up time was 30 days. Regression modeling results are
shown in Table 3. In logistic regression analysis, PASP had not shown an
association with the outcome. However, based on our clinical experience,
PASP was closely related to clinical performance and pulmonary imaging
changes in patients; thus, we entered PASP into the Cox analysis (model
1). As described above, D-dimer and IVSd could be used as predictors of
ventilator weaning when added to the model respectively for correction
(models 2 & 3), but these models revealed no statistical significance.
Our Cox hazard regression analysis results demonstrated that PASP was a
critically important indicator, but had an independent effect on events
after adjusting for potential confounders, including time. The adjusted
hazard ratio (HR) for ventilator weaning for a 1-mmHg increase in PASP
was 0.94 (95% CI 0.90‒0.97)
(P<0.001).
Correlation of PASP
with