Abstract:
Background: Readmission to intensive care during the same hospital stay has been associated with a greater risk of in-hospital mortality and has been suggested as a marker of quality of care. There is lack of published research attempting to develop clinical prediction tools that individualise the risk of readmission to the intensive care unit during the same hospital stay. Objective: To develop a prediction model using an inception cohort of patients surviving an initial ICU stay. Design, setting and participants: The study was conducted at Liverpool Hospital, Sydney. An inception cohort of 14 952 patients aged 15 years or more surviving an initial ICU stay and transferred to general wards in the study hospital between 1 January 1997 and 31 December 2007 was used to develop the model. Binary logistic regression was used to develop the prediction model and a nomogram was derived to individualise the risk of readmission to the ICU during the same hospital stay. Main outcome measure: Readmission to the ICU during the same hospital stay.
