Data analyses were performed using R software, version 4.2.0 (R foundation, Vienna, Austria). Baseline characteristics are shown as mean ± SD for normally distributed continuous variables or median (interquartile range) for those with a skewed distribution. Discrete variables are shown as counts (percentages). Differences between groups were evaluated using t-test or continuous variables and Pearson’s chi-square test or Fisher’s exact test for categorical data.
The cumulative overall survival (OS) rate was estimated using the Kaplan–Meier method and significant differences in survival distributions were tested by the log-rank test. Vital status (death or alive) was obtained from the civil registry up to December 31, 2021. Survival time was defined as the interval between the first TACE session for HCC and death or December 31, 2021 if the patient was alive.
A scatter plot was used to show the correlation between SMD and SMI. The degree of correlation was quantified with the correlation coefficient (R2). The association between myosteatosis or sarcopenia and mortality was assessed in multivariable Cox regression models. Adjusted variables included age, chronic lung disease, and chronic kidney disease since these variables had prognostic impact on mortality and were associated with myosteatosis and sarcopenia19 (link)–23 (link). Multivariable logistic regression analysis was used to determine the association between myosteatosis or sarcopenia and TACE response (response versus no response). The adjusted variables in the logistic regression model were the variables used in the adjusted Cox model. P values less than 0.05 were considered to be statistically significant.
The cumulative overall survival (OS) rate was estimated using the Kaplan–Meier method and significant differences in survival distributions were tested by the log-rank test. Vital status (death or alive) was obtained from the civil registry up to December 31, 2021. Survival time was defined as the interval between the first TACE session for HCC and death or December 31, 2021 if the patient was alive.
A scatter plot was used to show the correlation between SMD and SMI. The degree of correlation was quantified with the correlation coefficient (R2). The association between myosteatosis or sarcopenia and mortality was assessed in multivariable Cox regression models. Adjusted variables included age, chronic lung disease, and chronic kidney disease since these variables had prognostic impact on mortality and were associated with myosteatosis and sarcopenia19 (link)–23 (link). Multivariable logistic regression analysis was used to determine the association between myosteatosis or sarcopenia and TACE response (response versus no response). The adjusted variables in the logistic regression model were the variables used in the adjusted Cox model. P values less than 0.05 were considered to be statistically significant.
Free full text: Click here
