Logistic risk model for prolonged ventilation after adult cardiac surgery.

Background: The aim of this study was to develop a multivariate risk prediction model for prolonged ventilation after adult cardiac surgery.

Methods: This is a retrospective analysis of prospectively collected data on 12,662 consecutive patients undergoing adult cardiac surgery between April 1997 and March 2005. Data were randomly split into a development dataset (n = 6,000) and a validation dataset (n = 6,662).