Defining the severity of liver dysfunction in patients with hepatocellular carcinoma by the model for end-stage liver disease-derived systems.
ABSTRACT The model for end-stage liver disease (MELD) and serum sodium (Na) are important markers for liver functional reserve in patients with hepatocellular carcinoma. We aimed to determine the best model to define the severity of liver dysfunction in terms of outcome prediction among the 4 currently used systems (MELD, MELDNa, MELD-Na and ReFit MELDNa).
A total of 2308 prospectively enrolled patients with hepatocellular carcinoma were analysed. The prognostic ability was compared by the Akaike information criterion.
MELDNa had the best prognostic accuracy overall, and for patients receiving curative and non-curative treatments, followed by MELD-Na, MELD and ReFit MELDNa. When patients were categorized into <8, 8-12, 12-16, 16-20 and >20, the adjusted risk ratios for MELDNa were 1.065 (p=0.46), 0.996 (p=0.973), 1.38 (p=0.048) and 1.563 (p=0.003) for the scores of 8-12, 12-16, 16-20 and >20, respectively, compared to the group with scores <8. The adjusted risk ratio for MELDNa was 1.014 (95% confidence interval, 1.001-1.027; p=0.034) per unit score increment in the Cox model.
The MELDNa is the best marker to define the severity of liver dysfunction in hepatocellular carcinoma patients independent of treatment strategy. The ReFit MELDNa does not enhance the predictive accuracy of the MELD.
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ABSTRACT: Many liver staging systems that include the tumor stage and the extent of liver function have been developed. However, prognosis assessment for hepatocellular carcinoma (HCC) remains controversial. In this study, the performances of 7 staging systems were compared in a cohort of patients with HCC who underwent non-surgical treatment. A total of 196 consecutive patients with HCC who underwent non-surgical treatment seen between January 1, 2004, and December 31, 2007, were included. Performances of TNM sixth edition, Okuda, Barcelona Clinic Liver Cancer (BCLC), Cancer of the Liver Italian Program (CLIP), Chinese University Prognostic Index (CUPI), Japan Integrated Staging (JIS), and China integrated score (CIS) have been compared and ranked using concordance index (c-index). Predictors of survival were identified using univariate and multivariate Cox model analyses. The median survival time for the cohort was 7.6 months (95% CI 5.6-9.7). The independent predictors of survival were performance status (P<.001), serum sodium (P<.001), alkaline phosphatase (P<.001), tumor diameter greater than 5 cm (P = .001), portal vein invasion (P<.001), lymph node metastasis (P = .025), and distant metastasis (P = .004). CUPI staging system had the best independent predictive power for survival when compared with the other six prognostic systems. Performance status and serum sodium improved the discriminatory ability of CUPI. In our selected patient population whose main etiology is hepatitis B, CUPI was the most suitable staging system in predicting survival in patients with unresectable HCC. BCLC was the second top-ranking staging system. CLIP, JIS, CIS, and TNM sixth edition were not helpful in predicting survival outcome, and their use is not supported by our data.PLoS ONE 03/2014; 9(3):e88182. · 3.53 Impact Factor
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ABSTRACT: Although intraperitoneal surgery is a major operation associated with postoperative acute kidney injury (AKI), the incidence, risk factors, and long-term renal outcome are not well known. We aimed to determine the risk factors and 6 months renal outcome in patients with clinical or subclinical AKI after hepatobiliary surgery. We also assessed the validity of urine neutrophil gelatinase-associated lipocalin (NGAL) in the early detection of AKI or prediction of renal outcome.BMC Nephrology 10/2014; 15(1):169. · 1.52 Impact Factor
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ABSTRACT: Majority of patients with hepatocellular carcinoma (HCC) belonged to Child-Turcotte-Pugh (CTP) class A. We aimed to identify a new class of patients with very well-preserved liver function and analyze its impact on outcome prediction, tumor staging and treatment allocation.PLoS ONE 06/2014; 9(6):e99115. · 3.53 Impact Factor