Hypothesis testing will be performed where the documented NEWS will be divided into different timespans. Each timespan during the 24 hours will not be treated as repeated measures and will be executed with the Wilcoxon signed rank test. This test is chosen because the data is assumed to be non-parametric and the patients will be divided into two groups, one control group and one with the patients that suffered an IHCA. Another hypothesis testing will be performed where each documented NEWS on the same patient will be treated as repeated measures. Depending on the level of missing data and unequivalent time points between subjects, which could cause a biased result, the rANOVA or a generalized mixed models approach will be used. For the prediction of IHCA by using a specific parameter in the NEWS, a logistic regression analysis will be applied. All the documented NEWS will be divided into different time spans. Each time span will be considered as independent measures and entered separately into the regression analysis. This is motivated by the fact that each and every one of the documented NEWS was conducted in the preceding 24 hours of the IHCA. The variable mortality yes/no will be set as the dichotomous independent variable in the regression analysis. In order to select the parameters in the NEWS that is to be included in the regression analysis a non-parametric test (Mann-Whitney U-test) including all the parameters in the NEWS will be executed. The level of significance for this test will be set to p=0.2 2. Collinearity within the NEWS parameters that is to be included in the regression analysis will be tested. The level of collinearity that is accepted will be <+0,6 and >-0,6. A binomial logistic regression analysis will be executed with the selected parameters in the NEWS The outcome of the regression analysis will be presented as odds ratio (OR).