Related Experiment Video
Updated: Jun 25, 2026

Technical Refinement of a Bilateral Renal Ischemia-Reperfusion Mouse Model for Acute Kidney Injury Research
Published on: November 3, 2023
The Danish Out-of-Hospital Cardiac Arrest Trial: A Statistical Analysis Plan
Simon Mølstrøm1,2, Jacob E Møller2,3,4, Henrik Schmidt1,2
1Department of Anesthesiology and Intensive Care, Odense University Hospital, Odense, Denmark.
The Danish Out-of-Hospital Cardiac Arrest (DANOHCA) trial statistical analysis plan details interventions for post-cardiac arrest care. This plan ensures transparent reporting of outcomes for improving patient survival and recovery.
Area of Science:
- Critical Care Medicine
- Clinical Trials Methodology
- Cardiology
Background:
- Optimal post-cardiac arrest care strategies remain uncertain for reducing morbidity and mortality.
- The Danish Out-of-Hospital Cardiac Arrest (DANOHCA) trial investigates four interventions: high-dose dexamethasone, prophylactic olanzapine, elevated backrest, and early wakeup.
- This manuscript outlines the statistical analysis plan for these interventions in a factorial trial.
Purpose of the Study:
- To present the complete statistical analysis plan for the DANOHCA trial.
- To define primary and secondary outcomes, covariate adjustment, and data handling procedures.
- To ensure a transparent and rigorous framework for analyzing intervention effects.
Main Methods:
- A 2x2x2x2 factorial randomized clinical trial enrolling comatose adult out-of-hospital cardiac arrest patients.
- Co-randomization to dexamethasone vs. placebo, olanzapine vs. placebo, backrest elevation (35° vs. 5°), and early vs. late wakeup.
- Intention-to-treat principle for primary analyses, with finalized plan before randomization completion.
Main Results:
- Primary outcomes include 90-day mortality (dexamethasone, backrest) and 30-day days alive outside hospital (olanzapine, wakeup).
- Secondary endpoints encompass later mortality, neurological function, quality of life, organ function, and safety.
- Statistical methods include mixed-effects regression, Cox regression, and nonparametric tests with sensitivity analyses.
Conclusions:
- This statistical analysis plan provides a detailed and transparent framework for the DANOHCA trial.
- It guides the primary analyses and reporting of intervention effects.
- Ensures methodological rigor and comparability across interventions.
Related Concept Videos
Cardiopulmonary Resuscitation IV: Pharmacological Management
Comparing the Survival Analysis of Two or More Groups
Cardiopulmonary Resuscitation III: AED Use
Cancer Survival Analysis
Hazard Ratio
For example, in a clinical trial evaluating a...

