Prospective study for an independent predictor of prognosis in liver cirrhosis based on the new sarcopenia criteria produced by the Japan Society of Hepatology

Kikuchi, Nahoko; Uojima, Haruki; Hidaka, Hiroyoshi; Iwasaki, Shigeo; Wada, Naohisa; Kubota, Kousuke; Nakazawa, Takahide; Shibuya, Akitaka; Fujikawa, Tomoaki; Kako, Makoto; Sato, Teruko; Koizumi, Wasaburo

doi:10.1111/hepr.13698

Cited by 16 publications

(20 citation statements)

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“…Lower BMI may represent poor global nutritional status and sarcopenia. Clinically and radiologically measured sarcopenia is associated with increased mortality in patients with cirrhosis [56] and HCC [57] and, therefore, may confound our findings.…”

Section: Discussionmentioning

confidence: 80%

Impact of body mass index in patients receiving atezolizumab plus bevacizumab for hepatocellular carcinoma

et al. 2023

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Background Atezolizumab plus bevacizumab (Atezo/Bev) is first line-treatment for unresectable hepatocellular carcinoma (HCC). Body mass index (BMI) has demonstrated predictive value for response to immunotherapy in non-HCC cancer types. Our study investigated the effect of BMI on safety and efficacy of real-life use of Atezo/Bev for unresectable HCC. Methods 191 consecutive patients from seven centres receiving Atezo/Bev were included in the retrospective study. Overall survival (OS), progression-free survival (PFS), overall response rate (ORR) and disease control rate (DCR) defined by RECIST v1.1 were measured in overweight (BMI ≥ 25) and non-overweight (BMI < 25) patients. Treatment-related adverse events (trAEs) were evaluated. Results Patients in the overweight cohort (n = 94) had higher rates of non-alcoholic fatty liver disease (NAFLD) and lower rates of Hepatitis B compared to non-overweight cohort (n = 97). Baseline Child–Pugh class and Barcelona Clinic Liver Cancer stage were similar between cohorts, with lower rates of extrahepatic spread in the overweight group. Overweight patients had similar OS compared to non-overweight (median OS 15.1 vs. 14.9 months; p = 0.99). BMI did not influence median PFS (7.1 vs. 6.1 months; p = 0.42), ORR (27.2% vs. 22.0%; p = 0.44) and DCR (74.1% vs. 71.9%; p = 0.46). There were higher rates of atezolizumab-related fatigue (22.3% vs. 10.3%; p = 0.02) and bevacizumab-related thrombosis (8.5% vs. 2.1%; p = 0.045) in the overweight patients, but overall trAEs and treatment discontinuation were comparable between cohorts. Conclusion Atezo/Bev has comparable efficacy in overweight HCC patients, with an increase in treatment-related fatigue and thrombosis. Combination therapy is safe and efficacious to use in overweight patients, including those with underlying NAFLD.

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Section: Discussionmentioning

confidence: 80%

Impact of body mass index in patients receiving atezolizumab plus bevacizumab for hepatocellular carcinoma

et al. 2023

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“…Each index in the index system is independent and interrelated. Indicators reflect different aspects of scientific research and innovation, and each indicator should not be repeated and crossed [11][12][13]; at the same time, each index element describes the same ability behavior together, so it is interrelated. Each index has its own unique connotation [14].…”

Section: Index Model and Characteristic Analysis Of The Effect Evalua...mentioning

confidence: 99%

“…In formulas (11) and ( 12), 􏽥 x ij � x max + x min − x ij represents registered uplink parameters, c 4 represents global optimization coefficient, e p stands for the deviation of the evaluation effect of art education in colleges and universities, e g represents the deviation between the current value and the current global optimal value, and thus, a statistical analysis model is constructed for the evaluation of the effect of fine arts education in colleges and universities.…”

Section: Analysis Of Characteristics Of Art Education Effect Evaluati...mentioning

confidence: 99%

Research on Evaluation of Art Education Effect in Colleges and Universities Based on Big Data Technology

Zhou¹

2022

Mathematical Problems in Engineering

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In order to improve the automatic evaluation ability of fine arts education effect in colleges and universities, this paper proposes the evaluation research of fine arts education effect based on big data technology. We build university fine arts education effect data analysis model, considering the characteristics of the college art education effect; can reflect the effect of art education in colleges and universities’ selected index system, with the effect of art education in colleges and universities of the decision about the elements of the decomposed into goals, standards, and plan level, such as university fine arts education effect evaluation of qualitative and quantitative analysis; find out the hidden representative university fine arts education effect evaluation factors; build fine arts education in colleges and universities’ effect-associated distribution rules of the data, through unsupervised learning method, the effect of art education in colleges and universities’ data feature extraction in the process of adaptive learning, by fuzzy comprehensive evaluation of big data; and realize the effect of art education in colleges and universities. The test results show that the fitness level of using this method to evaluate the effect of art education in colleges and universities is high, the score of the evaluation effect of art education in colleges and universities is significant, and it is in a good state in the evaluation index score table, indicating that the evaluation effect is accurate and reliable.

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“…Sarcopenia is characterized by low skeletal muscle mass and strength and impaired physical performance. 1 In patients with liver cirrhosis, the presence of sarcopenia worsens prognosis and reduces healthrelated quality of life (HRQOL), [2][3][4] therefore, making accurate diagnosis essential.…”

Section: Introductionmentioning

confidence: 99%

An improved method to assess skeletal muscle mass in patients with liver cirrhosis based on computed tomography images

Sugiyama

Ishizu

Ando

et al. 2022

Hepatology Research

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Aim Conventionally, the skeletal muscle area with computed tomography (CT) attenuation ranging from −29 to +150 Hounsfield unit (HU) divided by height squared (the conventional skeletal muscle index [SMI]) was used as an index of skeletal muscle mass. However, it includes fat‐infiltrated skeletal muscle, which is known to have poor function. This study aims to determine whether the low‐fat SMI, which uses skeletal muscle mass with CT attenuation ranging from +30 to +150 HU, or conventional SMI appropriately reflects the function of skeletal muscle. Methods We retrospectively analyzed 120 patients with cirrhosis whose handgrip strength was measured. Among them, 48 patients underwent a physical performance assessment such as liver frailty index (LFI) and short physical performance battery (SPPB), and 80 underwent quality of life (QOL) assessment. The relationships between each SMI and handgrip strength, LFI, SPPB, and QOL were evaluated. Results Low‐fat SMI was significantly correlated with handgrip strength (males, R = 0.393, p = 0.002; females, R = 0.423, p < 0.001) and LFI (males, R = −0.535, p = 0.035; females, R = −0.368, p = 0.039), whereas conventional SMI was not. When using low‐fat SMI, patients with low skeletal muscle mass had significantly low handgrip strength, LFI, SPPB, and physical and social‐related QOL score than those without. By contrast, no significant differences were found for any items when using conventional SMI. Conclusions Low‐fat SMI is a good index of skeletal muscle mass that appropriately reflects skeletal muscle function.

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Prospective study for an independent predictor of prognosis in liver cirrhosis based on the new sarcopenia criteria produced by the Japan Society of Hepatology

Cited by 16 publications

References 25 publications

Impact of body mass index in patients receiving atezolizumab plus bevacizumab for hepatocellular carcinoma

Impact of body mass index in patients receiving atezolizumab plus bevacizumab for hepatocellular carcinoma

Research on Evaluation of Art Education Effect in Colleges and Universities Based on Big Data Technology

An improved method to assess skeletal muscle mass in patients with liver cirrhosis based on computed tomography images

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