2.7 Data Analysis
Continuous variables were expressed as means with standard deviation and
95% confidence interval. Categorical variables were expressed as
frequencies (percentages) with 95% confidence interval. Where
appropriate, the t-test and chi-square test (Fisher’s exact test where
required) were used to compare the differences between the survival and
death groups. Single-factor logistic analysis was used to explore the
risk factors associated with hospital deaths. If the number of events
was too small to calculate the odds ratio or there was collinearity
between the variables, the variable was excluded from the univariate
logistic analysis. P < 0.05 was considered statistically
significant unless otherwise stated.