Comparison of General and Liver-Specific Prognostic Scores in Their Ability to Predict Mortality in Cirrhotic Patients Admitted to the Intensive Care Unit

Pedro Paulo Costa E Silva, Liana Codes, Fernanda Ferreira Rios, Carolina Pedreira Esteve, Murilo Tavares Valverde Filho, Douglas Oliveira Carmo Lima, Geraldo Fernandes de Almeida Filho, Maria Clara Alves Morais, Bruno Calazans Lima, Paulo Bravo de Oliveira Chagas, Ney Boa-Sorte, Paulo Lisboa Bittencourt, Pedro Paulo Costa E Silva, Liana Codes, Fernanda Ferreira Rios, Carolina Pedreira Esteve, Murilo Tavares Valverde Filho, Douglas Oliveira Carmo Lima, Geraldo Fernandes de Almeida Filho, Maria Clara Alves Morais, Bruno Calazans Lima, Paulo Bravo de Oliveira Chagas, Ney Boa-Sorte, Paulo Lisboa Bittencourt

Abstract

Introduction: Acute Physiology and Chronic Health Evaluation (APACHE) II and III and Sequential Organ Failure Assessment (SOFA) are prognostic scores commonly used in the intensive care unit (ICU). Their accuracy in predicting mortality has not been adequately evaluated in comparison to prognostic scores commonly used in critically ill cirrhotic patients with acute decompensation (AD) or acute-on-chronic liver failure (ACLF).

Aims: This study was conducted to evaluate the performance of prognostic scores, including APACHE II, SOFA, Chronic Liver Failure Consortium (CLIF-C) SOFA, Child-Turcotte-Pugh (CPS), Model for End-Stage Liver Disease (MELD), MELD-Na, MELD to serum sodium ratio (MESO) index, CLIF-C organ failure (CLIF-C OF), CLIF-C ACLF, and CLIF-C AD scores, in predicting mortality of cirrhotic patients admitted to the ICU. Patients and Methods. A total of 382 patients (280 males, mean age 67.3 ± 10.6 years) with cirrhosis were retrospectively evaluated. All prognostic scores were calculated in the first 24 hours of ICU admission. Their ability to predict mortality was measured using the analysis of the area under the receiver operating characteristic curve (AUC).

Results: Mortality was observed in 31% of the patients. Analysis of AUC revealed that CLIF-C OF (0.807) and CLIF-SOFA (0.776) had the best ability to predict mortality in all patients, but CLIF-C OF (0.749) had higher prognostic accuracy in patients with ACLF. CLIF-SOFA, SOFA, and CLIF-C AD had the highest AUC values in patients with AD, with no statistical difference (p=0.971).

Conclusions: When compared to other general or liver-specific prognostic scores, CLIF-C OF, CLIF-SOFA, SOFA, and CLIF-C AD have good accuracy to predict mortality in critically ill patients with cirrhosis and patients with AD. According to the clinical scenario, different scores should be used to provide prognosis to patients with cirrhosis in the ICU.

Conflict of interest statement

The authors declare no conflicts of interest.

Copyright © 2021 Pedro Paulo Costa e Silva et al.

Figures

Figure 1
Figure 1
Mortality according to the number of organ failures defined by (a) CLIF-C and (b) NACSELD criteria. OF, organ failure; CLIF-C, Chronic Liver Failure Consortium; NACSELD, North American Consortium for the Study of End-Stage Liver Disease.
Figure 2
Figure 2
Comparison of the general and liver-specific prognostic scores to predict in-hospital mortality by AUROC in (a) patients with ACLF and (b) AD of cirrhosis. ACLF, acute-on-chronic liver failure; AD, acute decompensation; CLIF-C, Chronic Liver Failure Consortium; APACHE II, Acute Physiology and Chronic Health Evaluation II; MELD, Model for End-Stage Liver Disease; MELD-Na, sodium MELD; CTP, Child–Turcotte–Pugh; SOFA, Sequential Organ Failure Assessment; CLIF-SOFA, CLIF Sequential Organ Failure Assessment; CLIF-C OF, CLIF-C organ failure.
Figure 3
Figure 3
Comparison of general and liver-specific prognostic scores calculated on day 1 to predict in-hospital mortality by receiver operating characteristic curves in all patients either with ACLF or AD of cirrhosis. ACLF, acute-on-chronic liver failure; CLIF-C, Chronic Liver Failure Consortium; APACHE II, Acute Physiology and Chronic Health Evaluation II; MELD, Model for End-Stage Liver Disease; MELD-Na, sodium MELD; CTP, Child–Turcotte–Pugh; SOFA, Sequential Organ Failure Assessment; CLIF-SOFA, CLIF Sequential Organ Failure Assessment; CLIF-C OF, CLIF-C organ failure.
Figure 4
Figure 4
(a) Curves of sensibility and specificity relative to different cut-off values (TG-ROC curves) of the mortality prognostic scores and sensibility and specificity of the optimal cut-off point in 382 patients either with ACLF or AD of cirrhosis. (b) Curves of sensibility and specificity relative to different cut-off values (TG-ROC curves) of the mortality prognostic scores and sensibility and specificity of the optimal cut-off point in 178 patients with ACLF of cirrhosis. (c) Curves of sensibility and specificity relative to different cut-off values (TG-ROC curves) of the mortality prognostic scores and sensibility and specificity of the optimal cut-off point in 204 patients with AD of cirrhosis.

References

    1. Asrani S. K., Devarbhavi H., Eaton J., Kamath P. S. Burden of liver diseases in the world. Journal of Hepatology . 2019;70(1):151–171. doi: 10.1016/j.jhep.2018.09.014.
    1. D’Amico G., Pasta L., Morabito A., et al. Competing risks and prognostic stages of cirrhosis: a 25-year inception cohort study of 494 patients. Alimentary Pharmacology & Therapeutics . 2014;39:1180–1193.
    1. Garcia‐Tsao G., Abraldes J. G., Berzigotti A., Bosch J. Portal hypertensive bleeding in cirrhosis: risk stratification, diagnosis, and management: 2016 practice guidance by the American association for the study of liver diseases. Hepatology . 2017;65(1):310–335. doi: 10.1002/hep.28906.
    1. The European Association for the Study of the Liver. EASL clinical practice guidelines for the management of patients with decompensated cirrhosis. Journal of Hepatology . 2018;69:406–460.
    1. Arroyo V., Moreau R., Jalan R. Acute-on-chronic liver failure. New England Journal of Medicine . 2020;382(22):2137–2145. doi: 10.1056/NEJMra1914900.
    1. Nadim M. K., Durand F., Kellum J. A., et al. Management of the critically ill patient with cirrhosis: a multidisciplinary perspective. Journal of Hepatology . 2016;64(3):717–735. doi: 10.1016/j.jhep.2015.10.019.
    1. Weil D., Levesque E., McPhail M., et al. Prognosis of cirrhotic patients admitted to intensive care unit: a meta-analysis. Annals of Intensive Care . 2017;7(1):p. 33. doi: 10.1186/s13613-017-0249-6.
    1. Gustot T., Felleiter P., Pickkers P., et al. Impact of infection on the prognosis of critically ill cirrhotic patients: results from a large worldwide study. Liver International . 2014;34(10):1496–1503. doi: 10.1111/liv.12520.
    1. Cholangitas E., Senzolo M., Patch D., Shaw S., Hui C., Burroughs A. K. Review article: scoring systems for assessing prognosis in critically ill adult cirrhotics. Alimentary Pharmacology & Therapeutics . 2006;24:453–464.
    1. Wehler M., Kokoska J., Reulbach U., Hahn E. G., Strauss R. Short-term prognosis in critically ill patients with cirrhosis assessed by prognostic scoring systems. Hepatology . 2001;34:255–261. doi: 10.1053/jhep.2001.26522.
    1. Tu K. H., Jenq C. C., Tsai M. H., et al. Outcome scoring systems for short-term prognosis in critically ill cirrhotic patients. Shock . 2011;36(5):445–450. doi: 10.1097/SHK.0b013e31822fb7e2.
    1. Levesque E., Hoti E., Azoulay D., et al. Prospective evaluation of the prognostic scores for cirrhotic patients admitted to an intensive care unit. Journal of Hepatology . 2012;56:95–102. doi: 10.1016/j.jhep.2011.06.024.
    1. Olmez S., Gümürdülü Y., Tas A., Karakoc E., Kara B., Kidik A. Prognostic markers in cirrhotic patients requiring intensive care: a comparative prospective study. Annals of Hepatology . 2012;11(4):513–518. doi: 10.1016/s1665-2681(19)31465-6.
    1. Saliba F., Ichai P., Levesque E., Samuel D. Cirrhotic patients in the ICU: prognostic markers and outcome. Current Opinion in Critical Care . 2013;19(2):154–160. doi: 10.1097/MCC.0b013e32835f0c17.
    1. Michard B., Artzner T., Lebas B., et al. Liver transplantation in critically ill patients: preoperative predictive factors of post-transplant mortality to avoid futility. Clinical Transplantation . 2017;31(12) doi: 10.1111/ctr.13115.
    1. Engelmann C., Thomsen K. L., Zakeri N., et al. Validation of CLIF-C ACLF score to define a threshold for futility of intensive care support for patients with acute-on-chronic liver failure. Critical Care . 2018;22(1):p. 254. doi: 10.1186/s13054-018-2156-0.
    1. Vincent J. L., Moreno R. Clinical review: scoring systems in the critically ill. Critical Care . 2010;14:p. 207. doi: 10.1186/cc8204.
    1. Pugh R. N., Murray-Lyon I. M., Dawson J. L., Pietroni M. C., Williams R. Transection of the oesophagus for bleeding oesophageal varices. British Journal of Surgery . 1973;60:646–649. doi: 10.1002/bjs.1800600817.
    1. Kamath P. S., Wiesner R. H., Malinchoc M., et al. A model to predict survival in patients with end-stage liver disease. Hepatology . 2001;33:464–470. doi: 10.1053/jhep.2001.22172.
    1. Bittencourt P. L., Farias A. Q., Couto C. A. Liver transplantation in Brazil. Liver Transplantation . 2016;22(9):1254–1258. doi: 10.1002/lt.24487.
    1. Ruf A. E., Kremers W. K., Chavez L. L., Descalzi V. I., Podesta L. G., Villamil F. G. Addition of serum sodium into the MELD score predicts waiting list mortality better than MELD alone. Liver Transplantation . 2005;11:336–343. doi: 10.1002/lt.20329.
    1. Biggins S. W., Kim W. R., Terrault N. A., et al. Evidence-based incorporation of serum sodium concentration into MELD. Gastroenterology . 2006;130:1652–1660. doi: 10.1053/j.gastro.2006.02.010.
    1. Huo T. I., Wang Y. W., Yang Y. Y., et al. Model for end-stage liver disease score to serum sodium ratio index as a prognostic predictor and its correlation with portal pressure in patients with liver cirrhosis. Liver International . 2007;27:498–506. doi: 10.1111/j.1478-3231.2007.01445.x.
    1. Luca A., Angermayr B., Bertolini G., et al. An integrated MELD model including serum sodium and age improves the prediction of early mortality in patients with cirrhosis. Liver Transplantation . 2007;13:1174–1180. doi: 10.1002/lt.21197.
    1. Campbell J., McPeake J., Shaw M., et al. Validation of a prognostic scoring system for critically ill patients with cirrhosis admitted to ICU. Journal of Intensive Care Society . 2015;16(3):p. 240. doi: 10.1177/1751143715584779.
    1. Arroyo V., 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;144:1426–1437.
    1. Jalan R., Saliba F., Pavesi M., et al. Development and validation of a prognostic score to predict mortality in patients with acute-on-chronic liver failure. Journal of Hepatology . 2014;61:1038–1047. doi: 10.1016/j.jhep.2014.06.012.
    1. Jalan R., Pavesi M., Saliba F., et al. The CLIF consortium acute decompensation score (CLIF-C ADs) for prognosis of hospitalised cirrhotic patients without acute-on-chronic liver failure. Journal of Hepatology . 2015;62(4):831–840. doi: 10.1016/j.jhep.2014.11.012.
    1. Farias A. Q., Bittencourt P. L. Acute-on-chronic liver failure: which definition is appropriate in Latin America? Clinics in Liver Disease . 2020;16(3):114–116. doi: 10.1002/cld.945.
    1. Quan H., Li B., Couris C. M., et al. Updating and validating the charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. American Journal of Epidemiology . 2011;173(6):676–682. doi: 10.1093/aje/kwq433.
    1. Moreau R., Gines P., Jalan R., et al. Diagnosis, prevalence, and prognosis of acute-on-chronic liver failure (ACLF): results of the EASL-chronic liver failure (CLIF) consortium canonic study. Journal of Hepatology . 2012;56:S552–S553. doi: 10.1016/s0168-8278(12)61415-9.
    1. Angeli P., Ginès P., Wong F., et al. Diagnosis and management of acute kidney injury in patients with cirrhosis: revised consensus recommendations of the International club of ascites. Journal of Hepatology . 2015;62:968–974. doi: 10.1016/j.jhep.2014.12.029.
    1. Bajaj J. S., O’Leary J. G., Reddy K. R., et al. Survival in infection-related acute-on-chronic liver failure is defined by extrahepatic organ failures. Hepatology . 2014;60:250–256. doi: 10.1002/hep.27077.
    1. DeLong E. R., DeLong D. M., Clarke-Pearson D. L. Comparing the areas under two or more correlatedreceiver operating characteristic curves: a nonparametric approach. Biometrics . 1988;44:837–845. doi: 10.2307/2531595.
    1. Youden W. J. Index for rating diagnostic tests. Cancer . 1950;3:32–35.
    1. Dean A. G., Sullivan K. M., Soe M. M. OpenEpi: Open Source Epidemiologic Statistics for Public Health . 2013. .
    1. Arvaniti V., D’Amico G., Fede G., et al. Infections in patients with cirrhosis increase mortality four-fold and should be used in determining prognosis. Gastroenterology . 2010;139(4):1246.e5–1256.e5. doi: 10.1053/j.gastro.2010.06.019.
    1. Cordoba J., Ventura-Cots M., Simón-Talero M., et al. Characteristics, risk factors, and mortality of cirrhotic patients hospitalized for hepatic encephalopathy with and without acute-on-chronic liver failure (ACLF) Journal of Hepatology . 2014;60(2):275–281. doi: 10.1016/j.jhep.2013.10.004.
    1. Carvalho G. C., Regis Cde A., Kalil J. R., et al. Causes of renal failure in patients with decompensated cirrhosis and its impact in hospital mortality. Annals of Hepatology . 2012;11(1):90–95. doi: 10.1016/s1665-2681(19)31491-7.
    1. Theocharidou E., Pieri G., Mohammad A. O., 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. American Journal of Gastroenterology . 2014;109(4):554–562. doi: 10.1038/ajg.2013.466.
    1. Chen B. H., Tseng H. J., Chen W. T., et al. Comparing eight prognostic scores in predicting mortality of patients with acute-on-chronic liver failure who were admitted to an ICU: a single-center experience. Journal of Clinical Medicine . 2020;9(5):p. 1540. doi: 10.3390/jcm9051540.
    1. Das V., Boelle P. Y., Galbois A., et al. Cirrhotic patients in the medical intensive care unit: early prognosis and long-term survival. Critical Care Medicine . 2010;38:2108–2116. doi: 10.1097/ccm.0b013e3181f3dea9.
    1. Bittencourt P. L., Terra C., Parise E. R., et al. Intensive care management of patients with liver disease: proceedings of a single-topic conference sponsored by the Brazilian society of hepatology. Arquivos de Gastroenterologia . 2015;52(Suppl 1):55–72. doi: 10.1590/S0004-28032015000500004.
    1. Gines P., Fernandez J., Durand F., Saliba F. Management of critically-ill cirrhotic patients. Journal of Hepatology . 2012;56(Suppl 1):S13–S24. doi: 10.1016/s0168-8278(12)60003-8.
    1. Minne L., Abu-Hanna A., de Jonge E. Evaluation of SOFA-based models for predicting mortality in the ICU: a systematic review. Critical Care . 2008;12(6):p. R161. doi: 10.1186/cc7160.
    1. Sy E., Ronco J. J., Searle R., Karvellas C. J. Prognostication of critically ill patients with acute-on-chronic liver failure using the chronic liver failure-sequential organ failure assessment: a Canadian retrospective study. Journal of Critical Care . 2016;36:234–239. doi: 10.1016/j.jcrc.2016.08.003.
    1. 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. Journal of Critical Care . 2014;29(6):1131.e1–1136.e1. doi: 10.1016/j.jcrc.2014.06.027.
    1. Silva P. E., Fayad L., Lazzarotto C., et al. Single-centre validation of the EASL-CLIF consortium definition of acute-on-chronic liver failure and CLIF-SOFA for prediction of mortality in cirrhosis. Liver International . 2015;35(5):1516–1523. doi: 10.1111/liv.12597.
    1. Boone M. D., Celi L. A., Ho B. G., et al. Model for end-stage liver disease score predicts mortality in critically ill cirrhotic patients. Journal of Critical Care . 2014;29(5) doi: 10.1016/j.jcrc.2014.05.013.
    1. Picon R. V., Bertol F. S., Tovo C. V., de Mattos Â. Z. Chronic liver failure-consortium acute-on-chronic liver failure and acute decompensation scores predict mortality in Brazilian cirrhotic patients. World Journal of Gastroenterology . 2017;23(28):5237–5245. doi: 10.3748/wjg.v23.i28.5237.
    1. Karvellas C. J., Garcia-Lopez E., Fernandez J., et al. Dynamic prognostication in critically ill cirrhotic patients with multiorgan failure in ICUs in europe and North America: a multicenter analysis. Critical Care Medicine . 2018;46(11):1783–1791. doi: 10.1097/CCM.0000000000003369.
    1. Drolz A., Horvatits T., Rutter K., et al. Lactate improves prediction of short-term mortality in critically ill patients with cirrhosis: a multinational study. Hepatology . 2019;69(1):258–269. doi: 10.1002/hep.30151.
    1. Alexopoulou A., Vasilieva L., Mani I., Agiasotelli D., Pantelidaki H., Dourakis S. P. Single center validation of mortality scores in patients with acute decompensation of cirrhosis with and without acute-on-chronic liver failure. Scandinavian Journal of Gastroenterology . 201;52(12):1385–1390. doi: 10.1080/00365521.2017.1369560.
    1. Baldin C., Piedade J., Guimarães L., et al. CLIF-C AD score predicts development of acute decompensations and survival in hospitalized cirrhotic patients. Digestive Diseases and Sciences . 2021 doi: 10.1007/s10620-020-06791-5.
    1. Mahmud N., Asrani S. K., Kaplan D. E., et al. The predictive role of model for end-stage liver disease-lactate and lactate clearance for in-hospital mortality among a national cirrhosis cohort. Liver Transplantation . 2021;27(2):177–189. doi: 10.1002/lt.25913.
    1. Yang Y. Y., Hsu Y. C. Effectiveness of sepsis bundle application and outcomespredictors to cirrhotic patients with septicshockBMC. Information Display . 2021;21(1):p. 483. doi: 10.1186/s12879-021-06194-5.

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