Predictors of successful weaning off ECMO support after ECPR
Univariate logistic regression was used to detect variables that affect successful weaning off ECMO support (Table 3). Age, CPR duration, ECMO complications, and loss of pulse pressure were identified as risk factors. Two models were designed for multivariate logistic regression analysis (Figure 1). One model consisted of only four variables, which were significantly identified by univariate logistic regression analysis. The other model included variables of out-of-hospital cardiac arrest (OHCA), left heart decompression, and procedure complications in addition to these four variables. Loss of pulse pressure and long CPR duration remained independent predictive factors of unsuccessfully weaning from ECMO after ECPR according to both models (Figure 1).