Evaluating the Effect of Artificial Liver Support on Acute-on-Chronic Liver Failure Using the Quantitative Difference Algorithm: Retrospective Study

• DOI: 10.2196/45395
• Publication Date: 2023-09-13T05:28:01Z
• Authors: Tinghuai Huang; Jianwei Huang; Timon Cheng-Yi Liu; Meng Li; Rui She; Liyu Liu; Hongguang Qu; Fei Liang; Yuanjing Cao; Yuanzheng Chen; Lu Tang
• Keywords: Alanine aminotransferase; Liver disease; Chronic liver disease

Liver failure, including acute-on-chronic liver failure (ACLF), occurs mainly in young adults and is associated with high mortality resource costs. The prognosis evaluation a crucial part of the ACLF treatment process should run through entire diagnosis process. As recently proposed novel algorithm, quantitative difference (QD) algorithm holds promise for enhancing ACLF.This study aims to examine whether QD exhibits comparable or superior performance compared Model End-Stage Disease (MELD) context evaluation.A total 27 patients were categorized into 2 groups based on their preferences: conventional (n=12) double plasma molecular absorption system (DPMAS) (n=15) groups. was performed by MELD scoring systems.A significant reduction observed alanine aminotransferase (P=.02), aspartate (P<.001), conjugated bilirubin (P=.002), both P values value (Lτ>1.69). A decrease hemoglobin (P=.01), red blood cell count (P=.02) DPMAS group, but this not (Lτ≤1.69). Furthermore, there association between (P<.001). Significant differences patients' outcomes. Additionally, can also demonstrate improvements patient fatigue. reduce aminotransferase, unconjugated bilirubin.As dynamic evaluate therapeutic effects ACLF, similar MELD. Nevertheless, surpasses incorporating broader range indicators considering variability.