Dynamic evaluation based on acute-on-chronic liver failure predicts survival of patients after liver transplantation: a cohort study

Author:

Zhang Wei12,Jin Pingbo12,Liu Junfang12,Wu Yue12,Wang Rongrong3,Zhang Yuntao12,Shen Yan12,Zhang Min12,Bai Xueli12,Fung John4,Liang Tingbo1256

Affiliation:

1. Department of Hepatobiliary and Pancreatic Surgery

2. Liver Transplant Center

3. Department of Clinical Pharmacy

4. Transplantation Institute, Department of Surgery, University of Chicago, Chicago, Illinois, USA

5. Key Lab of Combined Multi-organ Transplantation of the Ministry of Health

6. Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China

Abstract

Background and aims: Dynamic evaluation of critically ill patients is the key to predicting their outcomes. Most scores based on the Model for End-stage Liver Disease (MELD) and acute-on-chronic liver failure (ACLF) utilize point-in-time assessment. This study mainly aimed to investigate the impact of dynamic clinical course change on post-liver transplantation (LT) survival. Methods: This study included 637 adults (overall cohort) with benign end-stage liver diseases. The authors compared the MELD scores and our ACLF-based dynamic evaluation scores. Patients enrolled or transplanted with ACLF-3 were defined as the ACLF-3 cohort (n=158). The primary outcome was 1-year mortality. ΔMELD and ΔCLIF-OF (Chronic Liver Failure-Organ Failure) represented the respective dynamic changes in liver transplant function. Discrimination was assessed using the area under the curve. A Cox regression analysis identified independent risk factors for specific organ failure and 1-year mortality. Results: Patients were grouped into three groups: the deterioration group (D), the stable group (S), and the improvement group (I). The deterioration group (ΔCLIF-OF ≥2) was more likely to receive national liver allocation (P=0.012) but experienced longer cold ischemia time (P=0.006) than other groups. The area under the curves for ΔCLIF-OF were 0.752 for the entire cohort and 0.767 for ACLF-3 cohorts, both superior to ΔMELD (P<0.001 for both). Compared to the improvement group, the 1-year mortality hazard ratios (HR) of the deterioration group were 12.57 (6.72–23.48) for the overall cohort and 7.00 (3.73–13.09) for the ACLF-3 cohort. Extrahepatic organs subscore change (HR=1.783 (1.266–2.512) for neurologic; 1.653 (1.205–2.269) for circulation; 1.906 (1.324–2.743) for respiration; 1.473 (1.097–1.976) for renal) were key to transplantation outcomes in the ACLF-3 cohort. CLIF-OF at LT (HR=1.193), ΔCLIF-OF (HR=1.354), and cold ischemia time (HR=1.077) were independent risk factors of mortality for the overall cohort, while ΔCLIF-OF (HR=1.384) was the only independent risk factor for the ACLF-3 cohort. Non-ACLF-3 patients showed a higher survival rate than patients with ACLF-3 in all groups (P=0.002 for I, P=0.005 for S, and P=0.001 for D). Conclusion: This was the first ACLF-based dynamic evaluation study. ΔCLIF-OF was a more powerful predictor of post-LT mortality than ΔMELD. Extrahepatic organ failures were core risk factors for ACLF-3 patients. CLIF-OF at LT, ΔCLIF-OF, and cold ischemia time were independent risk factors for post-LT mortality. Patients with a worse baseline condition and a deteriorating clinical course had the worst prognosis. Dynamic evaluation was important in risk stratification and recipient selection.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine,Surgery

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