Main outcome
REGRESSION
To assess the effect of actual exposure to the POINCARE-2 strategy on vital status at Day60, two different analyses were carried out: (1) a “naive” logistic regression model adjusted for potential confounders (model 1); and (2) a logistic regression model with the addition of an instrumental variable using the two-stage residual inclusion (2SRI) method [To identify potential confounders in the association between exposure to the strategy and outcomes, we compared patients’ characteristics at admission according to the exposure to the strategy, using logistic regression models adjusted for both ICU and group. Patients’ characteristics that were associated with both the outcome of interest and the score of exposure to POINCARE-2 strategy with a Hypotheses of log-linearity and absence of multiple colinearity were verified before implementation of the regression models, using the Hosmer–Lemeshow test [In order to meet the assumptions of relevance, independence, and exclusion restriction, we chose the group (strategy Finally, we used the Durbin-Wu-Hausman [We handled missing data using multiple imputation (MI), with the number of imputation datasets defined according to the rule of the percentage of missing observations [