The correlation between the intercellular distribution of TERT expression and various clinical and pathological characteristics were analyzed using the chi-square test, Fisher's exact test, or Mann-Whitney U test, as appropriate. The following clinical and pathological characteristics were examined: Patient age (years), sex (male/female), HBsAg (positive/negative), HCVAb (positive/negative), Child-Pugh class (B/A), liver cirrhosis (yes/no), poor tumor differentiation (yes/no), serum levels of AFP (ng/ml) and PIVKA-II (mAU/ml), size of the largest tumor nodule (cm), tumor number (≥2/1), portal vein invasion (yes/no), tumor-node-metastasis (TNM) stage in accordance with the Union for International Cancer Control (UICC) classification, 8th edition (21 ), and DNA-PKcs expression (positive/negative). The Kaplan-Meier method and the log-rank test were performed to investigate the relationship between TERT expression and the postoperative outcomes of HCC patients. All the statistical analyses were performed using IBM SPSS statistics version 25.0 software for Windows (IBM Co.). P<0.05 was considered to indicate a statistically significant difference.
Spss statistics version 25.0 software for windows
Manufactured by IBM
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SPSS Statistics version 25.0 is a software package for statistical analysis. It provides tools for data management, statistical modeling, and analysis. The software is designed to run on Windows operating systems.
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Lab products found in correlation
4 protocols using spss statistics version 25.0 software for windows
1
TERT Expression and HCC Clinicopathological Characteristics
2
TERT Expression and Clinicopathological Correlates in HCC
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The correlation between the intercellular distribution of TERT expression and various clinical and pathological characteristics were analyzed using the chi-square or Mann-Whitney U test, as appropriate. The following clinical and pathological characteristics were examined: patient age (years), sex (male/female), HBsAg (positive/negative), HCVAb (positive/negative), Child-Pugh class (B/A), liver cirrhosis (yes/no), poor tumor differentiation (yes/no), serum levels of AFP (ng/mL) and PIVKA-II (mAU/mL), size of the largest tumor nodule (cm), tumor number (≥2/1), portal vein invasion (yes/no), tumor-node-metastasis (TNM) stage in accordance with the Union for International Cancer Control (UICC) classi cation, 8th edition, 28 and DNA-PKcs expression (positive/negative). The Kaplan-Meier method and the log-rank test were performed to investigate the relationship between TERT expression and the postoperative outcomes of HCC patients. All the statistical analyses were performed using IBM SPSS statistics version 25.0 software for Windows (IBM Co., New York, NY, USA), and differences with P values of < 0.05 were considered as being statistically signi cant.
3
Statistical Analysis of Delirium Assessments
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Descriptive statistics were calculated for all data. For associations between numerical variables of the ordinal data type, Spearman’s correlation was used. Mann-Whitney U-tests were used for comparisons between the groups with respect to numerical variables, and the Chi-square test was used for comparisons with respect to categorical variables. In five patients, the assessments of delirium with the 4AT did not yield a distinct and unitary diagnosis. These data were handled as indeterminate and removed from the diagnostic accuracy analysis, except for the analysis of interrater reliability. A p-value of 0.05 (2-tailed) was considered statistically significant. The 95% confidence interval was reported for the estimates. All statistical analyses were carried out using the SPSS Statistics software, Version 25.0 for Windows (IBM Corp, Armonk, New York, USA).
4
Mortality Risk Factors in Critical Illness
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Categorical variables were presented as number and relative frequency, and their group differences were compared using the Chi-square test or Fisher’s exact test, as appropriate. Continuous variables were presented as mean ± standard deviation or median (25th to 75th percentiles), and differences were compared using Student’s t-test or Wilcoxon rank-sum test when applicable. Cumulative incidences of mortality were calculated by Kaplan-Meier estimates and compared using a log-rank test. To estimate odd ratios for in-hospital mortality, we used a logistic regression model. Variables included in the univariable analysis were age, sex, body weight, comorbidities, smoking, and utilization of organ support modalities such as mechanical ventilator, continuous renal replacement therapy (CRRT), and vasopressors. Variables with p < 0.2 in univariable analysis and those thought to be clinically relevant were included in multivariable logistic regression. We also computed odds ratios with 95 % confidence interval (CI). Statistical analyses were performed with IBM SPSS Statistics software Version 25.0 for Windows (IBM, Armonk, NY, USA), GraphPad Prism 8 (GraphPad Software, San Diego, CA, USA), and MedCalc 19.2.0. (MedCalc Software, Ostend, Belgium). All tests were two-tailed, and p < 0.05 was considered statistically significant.
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