Persistently Increased Resting Energy Expenditure Predicts Short-Term Mortality in Patients with Acute-on-Chronic Liver Failure

Abstract

Objective: Hypermetabolism based on measurements of resting energy expenditure (REE) is suggested to be a potential biomarker for predicting the clinical outcomes of some diseases. We aimed to evaluate the potential value of hypermetabolism for predicting the short-term (28-day) mortality of patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF). Methods: A total of 105 HBV-ACLF patients, 30 chronic hepatitis B (CHB) patients and 30 healthy controls (HCs) were included in this study. The REE was measured using indirect calorimetry in the morning after 8–10 h of fasting. The predicted REE (REEHB) was determined using Harris-Benedict equation. Persistent hypermetabolism was defined as the REE:REEHB ratio > 1.20 at day 1 and day 7 after admission. The severity of liver disease was estimated using the Model for End-Stage Liver Disease (MELD). Clinical and biochemical variables were determined using blood samples ordered upon admission. These variables were compared between nonsurviving and surviving patients who were classified according to the 28-day mortality. Results: The frequency of hypermetabolism at baseline was significantly higher in ACLF patients than that in HCs and CHB patients. Forty-six (43.8%) ACLF patients died within follow-up of 28 days. Persistent hypermetabolism (OR 2.10; 95% CI 1.15–3.69; p = 0.002) and MELD score (OR 1.93; 95% CI 1.47–3.51; p = 0.012) were independent predictive indicators of 28-day mortality. Furthermore, the performance of the 2 variables (persistent hypermetabolism and MELD) together with the area under the receiver operating curve (AUROC: 0.819) was significantly better than that of MELD alone ­(AUROC: 0.694) for prediction of short-term mortality (p = 0.014). Conclusion: These findings indicate that persistent hypermetabolism is predictive of short-term mortality in this small population.