The Systemic Immune Inflammation Index (SII) Combined with the Creatinine-to-Cystatin C Ratio (Cre/CysC) Predicts Sarcopenia in Patients with Liver Cirrhosis Complicated with Primary Hepatocellular Carcinoma.

BACKGROUND: Sarcopenia is a risk factor for poor cancer prognosis. Early identification and timely intervention of sarcopenia can improve patient prognosis. METHODS: A total of 91 patients with liver cirrhosis complicated with primary hepatocellular carcinoma were retrospectively analyzed. Based on the results of multivariable logistic regression analysis, a nomogram was developed. Moreover, 50 patients were enrolled for external validation. The predictive efficacy of the nomogram was evaluated using the receiver operating characteristic curve (ROC). RESULTS: According to the logistic regression analysis results, age, body mass index (BMI), creatinine-to-cystatin C ratio (Cre/CysC), and systemic immune inflammation index (SII) were independent risk factors of sarcopenia in patients with cirrhosis complicated with primary hepatocellular carcinoma (HCC) (all p < 0.05). The ABCS nomogram model was established, and the area under the ROC curve (AUC) was 0.896 (84.7% sensitivity, 81.2% specificity). The calibration curve of the nomogram was close to the ideal diagonal line. The predictive efficacy of the nomogram was verified through the external validation. CONCLUSION: The ABCS model based on SII and Cre/CysC can be used to identify high-risk sarcopenia in patients with cirrhosis complicated with HCC in the early stage.

Establishment of a prognostic model for hospitalized cirrhotic patients with infection based on lumbar muscle mass.

Background: Sarcopenia frequently complicates cirrhosis and leads to substantial mortality. Infection is a complication of cirrhosis that results in high mortality. Both sarcopenia and infection are accompanied by systemic inflammation and adversely affect the prognosis of cirrhosis. This article was designed to decipher the association of sarcopenia with infection occurrence, and to ascertain the risk factors for the 90-day death rate in hospitalized cirrhotic patients with infection. Methods: A total of 808 cirrhotic patients (373 with infection and 435 without) who had undergone abdominal CT from 2017 to 2021 were recruited for this retrospective single-center research. The skeletal muscle index was assessed at the level of the third lumbar vertebra (L3 SMI). The optimal cutoff value of the CAIL3 model (CTP score, AKI, INR, and L3 SMI) for the prediction of the 90-day death rate was authenticated with receiver operating characteristic (ROC) analysis. Results: L3 SMI was considered to be the independent risk factor for infection in cirrhotic patients and 90-day death rate in these patients with infection (HR 2.840 95% CI 2.076-3.886, p < 0.001 for infection and HR 2.097 95% CI 1.142-3.850, p = 0.017 for 90-day death rate, respectively). CAIL3 had an area under the ROC curve of 0.840, and a cutoff value of 0.21 for predicting the poor outcome (sensitivity 77.22% and specificity 76.53%, respectively). Conclusion: L3 SMI is an essential factor associated with infection and 90-day death rate in cirrhotic patients. CAIL3 may be a novel model for the prediction of the 90-day death risk in cirrhotic patients with infections.