AI Article Synopsis

  • There's no current scoring system to predict cirrhosis in patients with acute-on-chronic liver failure (ACLF) without cirrhosis, which this study aims to address by developing a nomogram based on psoas muscle index (PMI).
  • The study included 274 non-cirrhotic HBV-ACLF patients, separating them into training and validation groups, and found that a higher PMI was linked to a lower risk of developing cirrhosis over 360 days.
  • The developed nomogram showed strong predictive accuracy in assessing cirrhosis risk, with AUROC values of 0.812 and 0.824 in the training and validation groups, respectively, and confirmed its effectiveness through

Article Abstract

There is a lack of scoring system to predict the occurrence of cirrhosis in individuals with acute-on-chronic liver failure (ACLF) in the absence of cirrhosis. The goal of this study was to develop a psoas muscle index (PMI)-based nomogram for cirrhosis risk in non-cirrhotic patients with HBV-related ACLF. We included 274 non-cirrhotic HBV-ACLF patients who were randomly assigned to training and validation groups. Logistic analyses were performed to identify risk factors for cirrhosis. A nomogram was then constructed. The predictive performance of the nomogram was assessed using the area under the receiver operating characteristic curve (AUROC), calibration curve, and decision curve analysis (DCA). During the 360-day follow-up, 44.5% (122/274) of non-cirrhotic HBV-ACLF patients developed cirrhosis. A higher PMI at the L3 level was correlated with a decreased risk of long-term cirrhosis occurrence (OR 0.677, 95% CI 0.518-0.885, P = 0.004). The nomogram incorporating PMI, age, neutrophil-to-lymphocyte ratio (NLR), and international normalized ratio (INR), indicated satisfactory predictive performance for cirrhosis risk stratification in ACLF population. The nomograms had an AUROC of 0.812 (95% CI 0.747-0.866) and 0.824 (95% CI 0.730-0.896) in the training and validation cohorts, respectively. The calibration curves displayed excellent predictive accuracy of the nomogram in both sets. In both cohorts, the DCA verified the nomogram's clinical efficacy. In non-cirrhotic HBV-ACLF patients, a greater PMI appears to protect against long-term cirrhosis occurrence. Strong predictive performance has been demonstrated by PMI-based nomograms in assessing the likelihood of 1-year cirrhosis in those with HBV-ACLF.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692120PMC
http://dx.doi.org/10.1038/s41598-023-47463-4DOI Listing

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