Computational protocol: Obese trauma patients are at increased risk of early hypovolemic shock: a retrospective cohort analysis of 1,084 severely injured patients

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Protocol publication

[…] Univariate comparisons between groups were performed to detect differences between the four BMI groups; analysis of variance was used to detect differences in normally distributed continuous data, and the Kruskal-Wallis-test for non-normally distributed parameters. To compare nominal data, we utilized the Pearson chi-square test or the Fisher's exact test. To correct for multiple testing among different subgroups, these tests were followed by Bonferroni correction and significance was set at P < 0.0083. Data are presented as the median (range) or mean ± standard deviation, as appropriate. P values in the tables indicate comparison of all groups demonstrating an overall effect of BMI. Error bars in the figures indicate the standard error of the mean. Independent predictors for death were determined using a stepwise logistic regression analysis. For the logistic regression only, (severe) trauma to a distinct organ was defined by Abbreviated Injury Score ≥ 3.All statistical analyses were performed using IBM SPSS Statistics 18.0 software (SPSS Inc., Chicago, IL, USA). Graphical visualization was performed using SigmaPlot 9.0 (Systat Software Inc., Richmond, CA, USA). […]

Pipeline specifications

Software tools SPSS, SigmaPlot
Application Miscellaneous
Organisms Homo sapiens
Diseases Wounds and Injuries