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Critical Care

Open Access

Patients with prolonged stay on ICUs and the risk of mortality within 1-year of cardiac surgery

  • A Grayson1,
  • N Coulson1 and
  • N Scawn1
Critical Care201418(Suppl 1):P53

Published: 17 March 2014


The aim of this study was to determine an appropriate risk model to identify patients at high risk of prolonged ICU stay and to aid patient consent prior to cardiac surgery.


Data were prospectively collected on 5,440 consecutive cardiac surgery cases between April 2009 and March 2012. The primary outcome measure was the combined outcome of prolonged ICU stay (length of stay greater than 20 days) and/or in-hospital mortality. Logistic regression was performed to assess the predictability of logistic EuroSCORE against the primary outcome. Low-risk, medium- risk and high-risk groups were identified and subsequent risk of 1-year mortality assessed. Survival status was determined at 1 year.


A total of 192 (3.5%) patients had a prolonged ICU stay and 187 (3.4%) in-hospital deaths occurred, resulting in a combined primary outcome of 349 (6.4%). At 1 year, 371 (6.8%) deaths occurred. The risk of death in-hospital and at 1 year was significantly higher in patients with prolonged ICU stay (in-hospital mortality, 15.6% vs. 3.0%; P < 0.001/1 year, 27.6% vs. 6.1%; P < 0.001). The mean logistic EuroSCORE for all patients was 10.9. Patients with prolonged ICU stay had a significantly higher logistic EuroSCORE (20.3 vs. 10.6; P < 0.001). The logistic EuroSCORE was a reasonable predictor of prolonged ICU/ in-hospital mortality (OR 1.04, 95% CI 1.04 to 1.05, P < 0.001) with a receiver operating characteristic (ROC) curve of 0.72. The relationship between a patient's logistic EuroSCORE and predicted risk of prolonged ICU is shown in the figure; including low-risk, medium-risk and high risk groups. Around 50% of the entire cohort of patients had a logistic EuroSCORE of 10 or less and an associated risk of prolonged ICU stay of 5% or less. See Figure 1.
Figure 1

Risk of long stay versus 1-year mortality.


Using an existing risk prediction model, a patient's risk of prolonged ICU stay can be calculated using contemporaneous data. This information could be relevant for aiding in providing informed consent for cardiac surgery patients.

Authors’ Affiliations

The Liverpool Heart and Chest Hospital, Liverpool, UK


© Grayson et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.