Abstract
Acute-on-chronic liver failure (ACLF) implies high short-term mortality rates and usually requires intensive care unit (ICU) admission. Proper prognosis for these patients is crucial for early referral for liver transplantation. The superiority of CLIF-C ACLF score in Asian patients with ACLF admitted to an ICU remains inconclusive when compared to other scoring systems. The purpose of the study is (i) to compare the predictive performance of original MELD, MELD-Lactate, CLIF-C ACLF, CLIF-C ACLF-Lactate, and APACHE-II scores for short-term mortality assessment. (ii) to build and validate a novel scoring system and to compare its predictive performance to that of the original five scores. Two hundred sixty-five consecutive cirrhotic patients with ACLF who were admitted to our ICU were enrolled. The prognostic values for mortality were assessed by ROC analysis. A novel model was developed and internally validated using fivefold cross-validation. Alcohol abuse was identified as the primary etiology of cirrhosis. The AUROC of the five prognostic scores were not significantly superior to each other in predicting 1-month and 3-month mortality. The newly developed prognostic model, incorporating age, alveolar–arterial gradient (A-a gradient), BUN, total bilirubin level, INR, and HE grades, exhibited significantly improved performance in predicting 1-month and 3-month mortality with AUROC of 0.863 and 0.829, respectively, as compared to the original five prognostic scores. The novel ACLF model seems to be superior to the original five scores in predicting short-term mortality in ACLF patients admitted to an ICU. Further rigorous validation is required.
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References
Moreau R, Jalan R, Gines P et al (2013) Acute-on-chronic liver failure is a distinct syndrome that develops in patients with acute decompensation of cirrhosis. Gastroenterology 144(7):1426-37.e1–9
Sarin SK, Choudhury A (2016) Acute-on-chronic liver failure: terminology, mechanisms and management. Nat Rev Gastroenterol Hepatol 13(3):131–149
Arroyo V, Moreau R, Kamath PS et al (2016) Acute-on-chronic liver failure in cirrhosis. Nat Rev Dis Primers 2:16041
Sarin SK, Choudhury A, Sharma MK et al (2019) Acute-on-chronic liver failure: consensus recommendations of the Asian Pacific association for the study of the liver (APASL): an update. Hepatol Int 13(4):353–390
Arroyo V, Moreau R, Jalan R (2020) Acute-on-chronic liver failure. N Engl J Med 382(22):2137–2145
Karvellas CJ, Francoz C, Weiss E (2021) Liver transplantation in acute-on-chronic liver failure. Transplantation 105(7):1471–1481
Artru F, Louvet A, Ruiz I et al (2017) Liver transplantation in the most severely ill cirrhotic patients: a multicenter study in acute-on-chronic liver failure grade 3. J Hepatol 67(4):708–715
Zhang Y, Nie Y, Liu L, Zhu X (2020) Assessing the prognostic scores for the prediction of the mortality of patients with acute-on-chronic liver failure: a retrospective study. PeerJ 8:e9857
Vincent JL, Moreno R (2010) Clinical review: scoring systems in the critically ill. Crit Care 14(2):207
Keegan MT, Gajic O, Afessa B (2011) Severity of illness scoring systems in the intensive care unit. Crit Care Med 39(1):163–169
Kuo CC, Huang CH, Chang C et al (2021) Comparing CLIF-C ACLF, CLIF-C ACLF(lactate), and CLIF-C ACLF-D prognostic scores in acute-on-chronic liver failure patients by a single-center ICU experience. J Pers Med 11(2):79
Jalan R, Saliba F, Pavesi M et al (2014) Development and validation of a prognostic score to predict mortality in patients with acute-on-chronic liver failure. J Hepatol 61(5):1038–1047
Trebicka J, Fernandez J, Papp M et al (2020) The PREDICT study uncovers three clinical courses of acutely decompensated cirrhosis that have distinct pathophysiology. J Hepatol 73(4):842–854
Escarce JJ, Kelley MA (1990) Admission source to the medical intensive care unit predicts hospital death independent of APACHE II score. JAMA 264(18):2389–2394
Ho KM, Dobb GJ, Knuiman M, Finn J, Lee KY, Webb SAR (2005) A comparison of admission and worst 24-hour acute physiology and chronic health evaluation II scores in predicting hospital mortality: a retrospective cohort study. Crit Care 10(1):R4
Knaus WA, Wagner DP, Draper EA et al (1991) The APACHE III prognostic system: risk prediction of hospital mortality for critically III hospitalized adults. Chest 100(6):1619–1636
Kuzniewicz MW, Vasilevskis EE, Lane R et al (2008) Variation in ICU risk-adjusted mortality: impact of methods of assessment and potential confounders. Chest 133(6):1319–1327
Brown RS Jr, Kumar KS, Russo MW et al (2002) Model for end-stage liver disease and Child–Turcotte–Pugh score as predictors of pretransplantation disease severity, posttransplantation outcome, and resource utilization in United Network for Organ Sharing status 2A patients. Liver Transpl 8(3):278–284
Kamath PS, Kim WR, Advanced Liver Disease Study G (2007) The model for end-stage liver disease (MELD). Hepatology 45(3):797–805
Srikureja W, Kyulo NL, Runyon BA, Hu KQ (2005) MELD score is a better prognostic model than Child–Turcotte–Pugh score or discriminant function score in patients with alcoholic hepatitis. J Hepatol 42(5):700–706
Sarmast N, Ogola GO, Kouznetsova M et al (2020) Model for end-stage liver disease-lactate and prediction of inpatient mortality in patients with chronic liver disease. Hepatology 72(5):1747–1757
Nusrat S, Khan MS, Fazili J, Madhoun MF (2014) Cirrhosis and its complications: evidence based treatment. World J Gastroenterol 20(18):5442–5460
Tsochatzis EA, Bosch J, Burroughs AK (2014) Liver cirrhosis. Lancet 383(9930):1749–1761
Yeom SK, Lee CH, Cha SH, Park CM (2015) Prediction of liver cirrhosis, using diagnostic imaging tools. World J Hepatol 7(17):2069–2079
Kamath PS, Wiesner RH, Malinchoc M et al (2001) A model to predict survival in patients with end-stage liver disease. Hepatology 33(2):464–470
Drolz A, Horvatits T, Rutter K et al (2019) Lactate improves prediction of short-term mortality in critically ill patients with cirrhosis: a multinational study. Hepatology 69(1):258–269
Knaus WA, Draper EA, Wagner DP, Zimmerman JE (1985) APACHE II: a severity of disease classification system. Crit Care Med 13(10):818–829
Maldonado G, Greenland S (1993) Simulation study of confounder-selection strategies. Am J Epidemiol 138(11):923–936
Hanley JA, McNeil BJ (1982) The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143(1):29–36
Barosa R, Roque Ramos L, Patita M, Nunes G, Fonseca J (2017) CLIF-C ACLF score is a better mortality predictor than MELD, MELD-Na and CTP in patients with acute on chronic liver failure admitted to the ward. Rev Esp Enferm Dig 109(6):399–405
Engelmann C, Thomsen KL, Zakeri N et al (2018) Validation of CLIF-C ACLF score to define a threshold for futility of intensive care support for patients with acute-on-chronic liver failure. Crit Care. https://doi.org/10.1186/s13054-018-2156-0
Chen BH, Tseng HJ, Chen WT et al (2020) 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. J Clin Med 9(5):1540
Ramzan M, Iqbal A, Murtaza HG, Javed N, Rasheed G, Bano K (2020) Comparison of CLIF-C ACLF score and MELD score in predicting ICU mortality in patients with acute-on-chronic liver failure. Cureus 12(2):e7087
Cordoba J, Ventura-Cots M, Simon-Talero M et al (2014) Characteristics, risk factors, and mortality of cirrhotic patients hospitalized for hepatic encephalopathy with and without acute-on-chronic liver failure (ACLF). J Hepatol 60(2):275–281
Lee GH (2015) Hepatic encephalopathy in acute-on-chronic liver failure. Hepatol Int 9(4):520–526
Sussman NL, Kochar R, Fallon MB (2011) Pulmonary complications in cirrhosis. Curr Opin Organ Transplant 16(3):281–288
Cosarderelioglu C, Cosar AM, Gurakar M, Dagher NN, Gurakar A (2016) Hepatopulmonary syndrome and liver transplantation: a recent review of the literature. J Clin Transl Hepatol 4(1):47–53
Khatua CR, Panigrahi S, Mishra D et al (2018) Acute kidney injury at admission is a better predictor of mortality than its persistence at 48 h in patients with acute-on-chronic liver failure. J Clin Transl Hepatol 6(4):396–401
Khatua CR, Sahu SK, Meher D et al (2021) Admission serum urea is a better predictor of mortality than creatinine in patients with acute-on-chronic liver failure and acute kidney injury. J Clin Exp Hepatol 11(5):565–572
Beier K, Eppanapally S, Bazick HS et al (2011) Elevation of blood urea nitrogen is predictive of long-term mortality in critically ill patients independent of “normal” creatinine. Crit Care Med 39(2):305–313
Zhao R-H, Shi Y, Zhao H, Wu W, Sheng J-F (2018) Acute-on-chronic liver failure in chronic hepatitis B: an update. Expert Rev Gastroenterol Hepatol 12(4):341–350
Chien RN, Kao JH, Peng CY et al (2019) Taiwan consensus statement on the management of chronic hepatitis B. J Formos Med Assoc 118(1 Pt 1):7–38
Lucey MR (2019) Alcohol-associated cirrhosis. Clin Liver Dis 23(1):115–126
Axley PD, Richardson CT, Singal AK (2019) Epidemiology of alcohol consumption and societal burden of alcoholism and alcoholic liver disease. Clin Liver Dis 23(1):39–50
Katoonizadeh A, Laleman W, Verslype C et al (2010) Early features of acute-on-chronic alcoholic liver failure: a prospective cohort study. Gut 59(11):1561–1569
Gustot T, Jalan R (2019) Acute-on-chronic liver failure in patients with alcohol-related liver disease. J Hepatol 70(2):319–327
Marroni CA, Fleck AM Jr, Fernandes SA et al (2018) Liver transplantation and alcoholic liver disease: history, controversies, and considerations. World J Gastroenterol 24(26):2785–2805
Chan AC, Fan ST (2015) Criteria for liver transplantation in ACLF and outcome. Hepatol Int 9(3):355–359
Kim JE, Sinn DH, Choi GS et al (2021) Predictors and outcome of emergent Liver transplantation for patients with acute-on-chronic liver failure. Dig Liver Dis 53(8):1004–1010
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Thanks for all the medical staff who provided care to the patients included in this study.
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This study was supported by grants from Chang Gung Medical Research Project (Chang Gung Memorial Hospital) (CMRPG3K0401-0402, CMRPG3M1931).
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CHH and SHL designed the study, analyzed the results, and drafted the manuscript. WTC, MHT, WLK, YTL, SFW, and CHL contributed to the clinical portions of the study, including caring patients, data collection and literature review. CHH, LTL, and BHC designed and executed the data analysis plan. RNC supervised and provided comments on the study. All authors have read and approved the final manuscript.
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Lin, SH., Chen, WT., Tsai, MH. et al. A novel prognostic model to predict mortality in patients with acute-on-chronic liver failure in intensive care unit. Intern Emerg Med 19, 721–730 (2024). https://doi.org/10.1007/s11739-024-03536-4
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DOI: https://doi.org/10.1007/s11739-024-03536-4