Long-term outcome of patients with liver cirrhosis admitted to a general intensive care unit
© The Author(s) 2017
Received: 12 September 2016
Accepted: 8 March 2017
Published: 4 April 2017
The prevalence of liver cirrhosis is increasing, and many patients have acute conditions requiring consideration of intensive care. This study aims to: (a) report the outcome at 12 months of patients with cirrhosis admitted to ICU, (b) identify factors predictive of long-term mortality and (c) evaluate the ability of scoring systems to predict long-term outcome.
Observational cohort study.
General adult critical care unit in a UK teaching hospital.
Eighty-four patients admitted to critical care between June 2012 and December 2013.
Primary outcome measures
Cumulative survival at ICU discharge, hospital discharge and 12 months.
Eighty-four patients with diagnosed cirrhosis were followed up at 12 months. Clinical variables collected at ICU admission were entered into a multivariate regression analysis for mortality and eight predetermined scoring systems calculated. Cumulative survival at ICU discharge, hospital discharge and 12 months was 64.8, 47.1 and 44.1%, respectively. Twelve months of cumulative survival in patients with Child–Pugh class A was 100%, class B was 50% and class C was 25% (log rank p = 0.002). Independent predictors of mortality at 12 months were lactate, bilirubin, PT ratio and age. The Child–Pugh + Lactate score was modified to produce an objective score comprising Albumin, Bilirubin and Clotting (PT ratio) added to serum lactate concentration in mmol L−1 (ABC + Lactate). This score was the best predictor of 12-month survival, with an AUC of 0.83. A proposed classification by ABC + Lactate score was highly significant (p = 0.001), with those in the highest class having ICU mortality of 75% and hospital and 12-month mortality of 93%.
Patients with cirrhosis admitted to ICU have high initial mortality but low mortality after hospital discharge. Child–Pugh class at ICU admission predicts outcome at 12 months. The ABC + Lactate classification system may be useful in identifying critically ill cirrhotic patients with very high long-term mortality.
Liver disease is the third most common cause of premature death in the United Kingdom (UK) , and patients with liver cirrhosis now comprise between 2.6 and 15% of admissions to intensive care units (ICUs) in the UK [2–5]. Though survival in this patient group has historically been very poor, with reported hospital mortality as high as 89% [6–8], it has recently demonstrated that short-term survival is now improving [9–11].
Whilst this population has been well-studied with respect to short-term outcome [3–5, 10–14], relatively few studies have reported on long-term outcomes of critically ill cirrhotic patients. A 2006 study from a Scottish transplant centre demonstrated 12-month mortality of 81% in ICU admissions with decompensated alcoholic cirrhosis ; other non-UK transplant centres have reported 6-month mortality of between 62 and 71% [15–17]. Long-term outcome data from cirrhotic patients admitted to general ICUs are also scarce, with one European centre reporting 6-month mortality of 60% amongst all admissions, another reporting 12-month mortality of 82% and one UK centre reporting 12-month mortality of 59% [3, 18, 19].
It is difficult to predict which patients will benefit from ICU admission, and the use of scoring systems has been proposed to inform clinical decision-making. The most widely used method for assessing patients with chronic liver disease is the Child–Pugh score; however, this has been found to poorly predict short-term outcome in cirrhotic patients admitted to ICU [5, 11, 12, 19–21]. Many studies have found general critical illness scores, such as Acute Physiology, Age and Chronic Health Evaluation II (APACHE II) and Sequential Organ Failure Assessment (SOFA) to be superior to liver-specific scores such as Child–Pugh, the Model for End-Stage Liver Disease (MELD) and the UK Model for End-Stage Liver Disease (UKELD) [5, 11, 15, 18, 21]. Novel scores have also been designed for the acutely ill cirrhotic population, such as the Royal Free Hospital (RFH) score  and the Chronic Liver Failure-Sequential Organ Failure Assessment (CLIF-SOFA) . Increased serum lactate has been widely found to predict short-term mortality in critically ill cirrhotic patients [5, 11, 12, 16, 23], leading to the development of scores incorporating lactate such as SOFA-Lactate . Child–Pugh + Lactate was also found to be the best performing score at predicting ICU mortality in a previous study from this centre .
Despite this significant body of research, none of these scores have been validated with respect to long-term outcomes of critically ill cirrhotic patients. The aims of our study were: (a) to report the 12-month outcome of cirrhotic patients admitted to a general ICU; (b) to identify any factors predictive of survival at 12 months; and (c) to compare the ability of scoring systems to predict long-term outcome in this population.
An observational cohort study of patients with liver cirrhosis admitted to the adult ICU at Glasgow Royal Infirmary was undertaken between June 2012 and December 2013. We have previously reported on the acute mortality of this population . This unit is a 20-bed mixed surgical and medical critical care unit within a university hospital which does not provide liver transplant services. Patients were enrolled if they had received ‘Level 3’ care in the unit, defined as multiple organ support and/or mechanical ventilation. A diagnosis of cirrhosis was made if the patient had a positive liver biopsy on record, or if they had clinical features of cirrhosis plus any of the following: evidence of portal hypertension, ascites, encephalopathy or signs of liver cirrhosis on ultrasound examination. Patients with all aetiologies of liver cirrhosis were included, and all diagnoses were validated by a second independent clinician. Patients who were considered eligible for acute liver transplantation were referred to the regional transplant centre.
Data were collected prospectively from the Philips Intellivue Clinical Information Portfolio (Philips Medical Systems, Eindhoven, the Netherlands) and WardWatcher (Critical Care Audit Ltd., Yorkshire, UK) computerised patient record systems at the time of ICU admission. Demographic data collected included: age, gender, postcode, indication for ICU admission and aetiology of cirrhosis. The postcode was used to calculate the Scottish Index of Multiple Deprivation (SIMD) quintile for each patient, with those in the lowest quintile considered socially deprived. Clinical data were taken from the first recorded value following the documented time of ICU admission and included sodium, potassium, urea, arterial lactate, bilirubin, albumin, creatinine, total white cell count, prothrombin time (PT) ratio, platelet count, ratio of arterial oxygen partial pressure to fraction of inspired oxygen (PaO2/FiO2 ratio), and ascites and encephalopathy grades. Encephalopathy was graded using the West Haven criteria prior to intubation or sedation.
Based on the previously described literature, several scoring systems were chosen for inclusion in this study and were calculated at admission as previously described by their authors. These comprised Child–Pugh , MELD, UKELD, APACHE II and SOFA [25–29]. In addition to these established systems, the novel RFH, CLIF-SOFA, SOFA-Lactate and Child–Pugh + Lactate were calculated [5, 11, 16, 22]. The Child–Pugh class was assigned retrospectively based on the score at admission.
Patient outcome data were obtained via electronic patient record systems which are linked to death notification records and by contacting patients’ primary care physicians to confirm survival if in doubt. Outcomes of interest were survival to ICU discharge, survival to hospital discharge and survival at 12 months post-hospital discharge. Ethical approval was granted by the West of Scotland Research Ethics Committee (REC reference; 12/WS/0039).
Parametric data were reported as mean and standard deviation and compared using Student’s t test. Nonparametric data were reported as median and interquartile range and compared using the Mann–Whitney U test. Proportions were compared using the Fisher’s exact test or Chi-squared test for association or trend, as appropriate. All p values calculated were two-sided, and the statistical significance threshold was <0.05.
All parameters which were under the significance threshold of <0.05 were entered into a stepwise, backward multivariate logistic regression analysis for mortality at 12 months. Receiver operating characteristic (ROC) curves were calculated for each scoring system, and the area under the curve (AUC) was determined. A threshold of AUC ≥ 0.8 for clinical utility was chosen in keeping with previous studies on this topic and statistical literature . Survival analysis was conducted using the Kaplan–Meier method, from which readmissions were excluded in order to not confound the analysis. In such cases, the patient’s initial ICU admission date was used in the Kaplan–Meier analysis. Where subgroups were analysed separately, the log-rank test was used to compare the survival curves, with correction for trend if appropriate. All statistical analysis was performed using SPSS version 21 (SPSS, Inc., IBM, Chicago, USA). Advice was sought from an independent statistician.
Clinical characteristics and predictors of 12-month mortality in 84 admissions to a general ICU with a diagnosis of cirrhosis
All admissions (n = 84)
12 m survivors (n = 43)
12 m nonsurvivors (n = 41)
Age (mean ± SD, range)*
50.2 ± 11.2
47.4 ± 10.1
53.1 ± 11.8
Male gender (n)
Social deprivationa (n)
Alcohol-related disease (n)
Ventilated on admission (n)
Readmission during same hospital stay*
ICU admission reason
Length of ICU stay
Sodium (mEq L−1)
Potassium (mEq L−1)
Urea (mmol L−1)
Lactate* (mmol L−1)
Bilirubin* (µmol L−1)
Creatinine* (µmol L−1)
White cell count (×10−9 L−1)
Albumin* (g L−1)
Platelet count* (×10−9 L−1)
PaO2/FiO2 ratio (kPa)
Glasgow coma score
The most common working diagnosis at ICU admission was pneumonia (n = 19, 22.6%) followed by gastrointestinal bleeding (n = 11, 13.1%), acute respiratory distress syndrome (ARDS) (n = 8, 9.5%), and systemic sepsis (n = 7, 8.3%), encephalopathy, gastrointestinal perforation and trauma, including burns (all n = 5, 6.0%), and decompensated cirrhosis and seizures (both n = 4, 4.8%).
Long-term outcome and survival analysis
Factors predictive of long-term mortality
Factors found to be predictive of mortality at 12 months in univariate analysis were increased age (p = 0.020), arterial lactate, serum bilirubin concentration, and PT ratio (all p < 0.001), serum albumin (p = 0.002), creatinine (p = 0.029) and platelet count (p = 0.005). Readmission during the same hospital stay was associated with increased long-term survival (p = 0.008). There was no significant effect observed of the presence of alcohol-related disease or levels of social deprivation on long-term survival, or any of the other clinical measurements (Table 1).
Factors predictive of mortality at 12 months post-ICU admission after a backwards stepwise multivariate logistic regression analysis
95% confidence interval
Lactate (mmol L−1)
Bilirubin (µmol L−1)
Proposed ABC + Lactate score for prediction of outcome in cirrhotic patients admitted to ICU
Clotting (PT ratio)
Discriminative ability of scoring systems
Utility of scoring systems at predicting 12-month outcome in patients with cirrhosis admitted to ICU
Area under ROC curve
95% confidence interval
Child–Pugh + Lactatea
ABC + Lactatea
Comparison of classification systems
Comparison of cumulative survival by Child–Pugh class and CLIF-SOFA organ failure grade in 68 cirrhotic patients admitted to a general ICU
Child–Pugh A (n = 6)
Child–Pugh B (n = 34)
Child–Pugh C (n = 28)
Alive at ICU discharge
Alive at hospital discharge
Alive 12 m post-admission
ABC + Lactate1 (n = 27)a
ABC + Lactate 2 (n = 24)a
ABC + Lactate 3 (n = 15)a
Alive at ICU discharge
Alive at hospital discharge
Alive 12 m post-admission
Our findings show that cirrhotic patients admitted to ICU have high initial mortality followed by a low mortality in those patients who survive to leave hospital. In comparison with other reports of cirrhotic patients from general ICUs, our 12-month cumulative mortality of 55.9% is comparable to the figure of 59% reported by Lewis et al. and the 6-month cumulative mortality of 60% reported by Filloux et al. [3, 18] It is, however, far lower than the 90-day mortality of 76% reported by Kavli et al.  though this may be explained by the fact that the latter study only enrolled patients with decompensated cirrhosis and the fact that the majority of our cohort were admitted with alcohol-related cirrhosis. Compared to the contemporary literature from specialist liver ICUs, the outcome of the population of cirrhotic patients admitted to general ICUs appears to be slightly better than those requiring treatment in a specialist centre [15, 16]. As with our findings, all of these studies demonstrated a similar reduction in mortality after hospital discharge strongly suggesting that those cirrhotic patients who survive hospital have good long-term outcomes [3, 15, 16, 19].
The independent predictors of mortality in this study were serum lactate, bilirubin, PT ratio and age. Increased lactate and bilirubin have both been widely found to predict short-term mortality in critically ill cirrhotic patients [5, 11, 12, 14, 16, 21, 23], but this is the first time they have been associated with poor long-term outcome. Whilst the odds ratio of 4.82 for PT ratio appears large, this ratio represents the increased risk of mortality associated with an increase in the PT ratio of 1, a significant clinical deterioration. Surprisingly, neither alcohol-related disease nor the presence of social deprivation was found to be associated with poorer outcome, although we may have underestimated a true population effect as the vast majority of the cohort had one or both of these risk factors. In contrast to a number of previous studies [2, 14, 15, 18], mechanical ventilation at ICU admission was not found to be associated with increased mortality. Notably, readmission to ICU was a significant predictor of survival, although this may reflect a bias where patients who were readmitted to ICU were those with the highest chance of survival.
We were unable to demonstrate a statistically significant difference between the scoring systems based on ROC curve analysis; however, MELD, Child–Pugh + Lactate and ABC + Lacate all achieved an AUC higher than the predetermined threshold. However, ROC curve analysis alone is unlikely to provide a true measure of a score’s clinical usefulness [24, 31]. A classification system with mortality rates for each class is far easier for clinicians to interpret and apply at the bedside, which a score alone does not permit.
A key finding of this study is that Child–Pugh class at ICU admission stratifies patients into three groups with different long-term prognosis (Fig. 3). However, the inherent limitations of this score must be realised when interpreting this finding. Our data demonstrate that patients presenting to ICU with Child–Pugh class A disease have excellent long-term outcome, but such patients form a small proportion of critically ill cirrhotic patients—data from this study and others indicate that the vast majority of cirrhotic patients who present to ICU are Child–Pugh class B or C [11, 12, 18]. Child–Pugh class alone is unable to identify which of these class B or C patients have a sufficiently high probability of short- and long-term death to influence a decision regarding ICU admission. This limitation of Child–Pugh has been previously identified by a number of authors and may be due to a ‘ceiling’ effect of its classification system . It is therefore clear that there remains a need for a bedside scoring system with the ability to identify patients with the highest risk of mortality. Whilst MELD did perform well on this cohort, it is limited by the lack of an easily accessible grading system to stratify patient into groups and hence identify patients with a high risk of mortality. Similarly, the RFH score, which has been validated for short-term outcome in both the specialist and general settings [11, 24], failed to perform as well in this long-term study. The Child–Pugh + Lactate score attempted to meet this need with the incorporation of a measure of acute illness correlated with poor short-term outcome . However, this score remains limited as both the ascites and encephalopathy components are subjective and difficult to assess in the acute setting [24, 31]. Previous work from this centre has demonstrated that the omission of encephalopathy scores from both Child–Pugh and Child–Pugh + Lactate did not affect the short-term predictive value , and so it is perhaps unsurprising that the ABC + Lactate score, which removes these components, performed better in this study.
Unlike Child–Pugh, MELD, RFH and Child–Pugh + Lactate, the ABC + Lactate score is entirely objective and can be calculated easily at the bedside; its similarity to the well-known Child–Pugh score may also promote easy understanding amongst clinicians. In this study, ABC + Lactate classification identified a large group of patients with good long-term prognosis, and a smaller but sizeable group of patients with almost universally poor outcome (Fig. 4). ABC + Lactate class 1 patients formed 41% of the cohort and had short- and long-term outcomes similar to the general ICU population , whereas class 3 patients (22% of the cohort) had an ICU mortality of 75% and hospital and 12-month mortality of 93%. Crucially, ABC + Lactate was able to identify a group of patients with very high long-term mortality (class 3), suggesting it may be useful as an adjunct to the Child–Pugh classification system to identify patients at very high risk of death in the critically ill cirrhotic population.
There were some limitations to this study. The sample size is sufficiently small that an overestimation of effect bias may have occurred, particularly with some of the subgroup analyses. It should also be noted that this is a single-centre study of all-cause general ICU admissions with cirrhosis, and therefore the conclusions may not be directly applicable to other populations of critically ill cirrhotic patients. The ABC + Lactate score would require validation for both short- and long-term outcome in an external cohort of patients before it could be adopted for use in this patient population. There were no data on the number of cirrhotic patients who were referred to ICU with a very poor prognosis and therefore not accepted for admission, or those cirrhotic patients who were critically ill but were not referred for critical care. Although in our centre the vast majority of such patients are indeed admitted to ICU, this may have led the study to underestimate the mortality of critically ill cirrhotic patients by excluding those who died prior to ICU admission. Similarly, we did not formally assess decompensation on admission and therefore cannot state surely the proportion of patients who were presenting with decompensated liver disease. Finally, whilst we have assessed long-term mortality in hospital survivors as a binary outcome, we have not been able to similarly assess ongoing morbidity. It is likely that many of these patients will have significant reductions in quality of life, which whilst an important endpoint was outside the scope of this study.
Patients with cirrhosis who become critically unwell should be considered for ICU admission, as whilst they have high initial mortality, those who leave hospital alive have good long-term outcomes. Child–Pugh class at ICU admission predicts outcome at 12 months but struggles to identify those patients at a very high risk of death. The novel ABC + Lactate classification system may be useful in identifying critically ill cirrhotic patients with very high long-term mortality.
AW collected follow-up data, performed data analysis and wrote the manuscript. Data collection was also performed by CS, JC, AP, TQ and JM. Expert statistical guidance was given by MS. CS and JM provided overall supervision of the study and assisted with revising the manuscript. JK contributed to the manuscript and provided expert guidance in the field of intensive care. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Availability of data and materials
Unfortunately, we do not have permissions to share this data. However, if individual research groups would like to access our raw data, we would be happy to collaborate with individual requests for this. Please contact the corresponding author for further information.
Ethical approval was granted by the West of Scotland Research Ethics Committee (REC reference; 12/WS/0039).
This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.
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- Williams R, Aspinall R, Bellis M, et al. Addressing liver disease in the UK: a blueprint for attaining excellence in health care and reducing premature mortality from lifestyle issues of excess consumption of alcohol, obesity, and viral hepatitis. Lancet. 2014;384:1953–97.View ArticlePubMedGoogle Scholar
- O’Brien AJ, Welch CA, Singer M, Harrison DA. Prevalence and outcome of cirrhosis patients admitted to UK intensive care: a comparison against dialysis-dependent chronic renal failure patients. Intensive Care Med. 2012;38:991–1000.View ArticlePubMedGoogle Scholar
- Lewis H, Reynolds T, Lillis A, Maitland K, Foster GR, Hadley J. Mortality and utility of prognostic scoring models in cirrhotic patients admitted to a tertiary non-transplant intensive care unit (ICU) in the UK. Gut. 2012;61(Suppl 2):A199.Google Scholar
- Mackle IJ, Swann DG, Cook B. One year outcome of intensive care patients with decompensated alcoholic liver disease. Br J Anaesth. 2006;97:496–8.View ArticlePubMedGoogle Scholar
- Emerson P, McPeake J, O’Neill A, et al. The utility of scoring systems in critically ill cirrhotic patients admitted to a general intensive care unit. J Crit Care. 2014;29(6):1131.e1–6.View ArticlePubMedGoogle Scholar
- Goldfarb G, Nouel O, Poynard T, Rueff B. Efficiency of respiratory assistance in cirrhotic patients with liver failure. Intensive Care Med. 1983;9:271–3.View ArticlePubMedGoogle Scholar
- Shellman RG, Fulkerson WJ, DeLong E, Piantadosi CA. Prognosis of patients with cirrhosis and chronic liver disease admitted to the medical intensive care unit. Crit Care Med. 1988;16:671–8.View ArticlePubMedGoogle Scholar
- Kress JP, Rubin A, Pohlman AS, Hall JB. Outcomes of critically ill patients denied consideration for liver transplantation. Am J Respir Crit Care Med. 2000;162:418–23.View ArticlePubMedGoogle Scholar
- Galbois A, Trompette ML, Das V, et al. Improvement in the prognosis of cirrhotic patients admitted to an intensive care unit, a retrospective study. Eur J Gastroenterol Hepatol. 2012;24:897–904.View ArticlePubMedGoogle Scholar
- Sauneuf B, Champigneulle B, Soummer A, et al. Increased survival of cirrhotic patients with septic shock. Crit Care. 2013;17:R78.View ArticlePubMedPubMed CentralGoogle Scholar
- Theocharidou E, Pieri G, Mohammad AO, et al. The Royal Free Hospital score: a calibrated prognostic model for patients with cirrhosis admitted to intensive care unit. Comparison with current models and CLIF-SOFA score. Am J Gastroenterol. 2014;109:554–62.View ArticlePubMedPubMed CentralGoogle Scholar
- Thomson SJ, Moran C, Cowan ML, et al. Outcomes of critically ill patients with cirrhosis admitted to intensive care: an important perspective from the non-transplant setting. Aliment Pharmacol Ther. 2010;32:233–43.View ArticlePubMedGoogle Scholar
- Rocco JR, Soares M. Outcome of patients with cirrhosis admitted to intensive care. Rev Bras Ter Intensiva. 2010;22:11–8.View ArticlePubMedGoogle Scholar
- Levesque E, Hoti E, Azoulay D, et al. Prospective evaluation of the prognostic scores for cirrhotic patients admitted to an intensive care unit. J Hepatol. 2012;56:95–102.View ArticlePubMedGoogle Scholar
- Das V, Boelle PY, Galbois A, et al. Cirrhotic patients in the medical intensive care unit: early prognosis and long-term survival. Crit Care Med. 2010;38:2108–16.View ArticlePubMedGoogle Scholar
- Frohlich S, Murphy N, Kong T, et al. Alcoholic liver disease in the intensive care unit: outcomes and predictors of prognosis. J Crit Care. 2014;29:1131.e7–13.View ArticlePubMedGoogle Scholar
- Gildea TR, Cook WC, Nelson DR, et al. Predictors of long-term mortality in patients with cirrhosis of the liver admitted to a medical ICU. Chest. 2004;126:1598–603.View ArticlePubMedGoogle Scholar
- Filloux B, Chagneau-Derrode C, Ragot S, et al. Short-term and long-term vital outcomes of cirrhotic patients admitted to an intensive care unit. Eur J Gastroenterol Hepatol. 2010;22:1474–80.PubMedGoogle Scholar
- Kavli M, Strom T, Carlsson M, Dahler-Eriksen B, Toft P. The outcome of critical illness in decompensated alcoholic liver cirrhosis. Acta Anaesthesiol Scand. 2012;56:987–94.View ArticlePubMedGoogle Scholar
- Cholongitas E, Senzolo M, Patch D, et al. Risk factors, sequential organ failure assessment and model for end-stage liver disease scores for predicting short term mortality in cirrhotic patients admitted to intensive care unit. Aliment Pharmacol Ther. 2006;23:883–93.View ArticlePubMedGoogle Scholar
- Levesque E, Saliba F, Ichai P, Samuel D. Outcome of patients with cirrhosis requiring mechanical ventilation in ICU. J Hepatol. 2014;60:570–8.View ArticlePubMedGoogle Scholar
- Moreau R, Jalan R, Gines P, et al. Acute-on-chronic liver failure is a distinct syndrome that develops in patients with acute decompensation of cirrhosis. Gastroenterology. 2013;144:1426–37, 1437.e1–9.Google Scholar
- Burroughs A, Garcovich M, Vemala V, Davenport A, Shaw S, O’Beirne J. Admission serum lactate is a strong predictor of outcome in cirrhotics admitted to intensive care unit, and when added to the liver-specific scores of model for end-stage liver disease or UK model for end-stage liver disease, improves their respective predictive value. Gut. 2010;59:A13.View ArticleGoogle Scholar
- Campbell J, McPeake J, Shaw M, et al. Validation of a prognostic scoring system for critically ill patients with cirrhosis admitted to ICU. Crit Care. 2015;19:364.View ArticlePubMedPubMed CentralGoogle Scholar
- Pugh RN, Murray-Lyon IM, Dawson JL, Pietroni MC, Williams R. Transection of the oesophagus for bleeding oesophageal varices. Br J Surg. 1973;60:646–9.View ArticlePubMedGoogle Scholar
- Kamath PS, Wiesner RH, Malinchoc M, et al. A model to predict survival in patients with end-stage liver disease. Hepatology. 2001;33:464–70.View ArticlePubMedGoogle Scholar
- Barber KM, Pioli SE, Blackwell JE, Collett D, Neuberger JM, Gimson AE. Development of a UK score for patients with end-stage liver disease. Hepatology. 2007;46:510A.Google Scholar
- Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med. 1985;13:818–29.View ArticlePubMedGoogle Scholar
- Vincent JL, de Mendonca A, Cantraine F, et al. Use of the SOFA score to assess the incidence of organ dysfunction/failure in intensive care units: results of a multicenter, prospective study. Working group on “sepsis-related problems” of the European Society of Intensive Care Medicine. Crit Care Med. 1998;26:1793–800.View ArticlePubMedGoogle Scholar
- Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology. 1983;148:839–43.View ArticlePubMedGoogle Scholar
- Cholongitas E, Papatheodoridis GV, Vangeli M, Terreni N, Patch D, Burroughs AK. Systematic review: the model for end-stage liver disease—should it replace Child–Pugh’s classification for assessing prognosis in cirrhosis? Aliment Pharmacol Ther. 2005;22:1079–89.View ArticlePubMedGoogle Scholar
- Cuthbertson BH, Roughton S, Jenkinson D, Maclennan G, Vale L. Quality of life in the five years after intensive care: a cohort study. Crit Care. 2010;14:R6.View ArticlePubMedPubMed CentralGoogle Scholar