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Statistical analysis plan for hemodynamic phenotype-based, capillary refill time-targeted resuscitation in early septic shock: the ANDROMEDA-SHOCK-2 randomized clinical trial

  • Nicolas Orozco
  • , Gustavo García-Gallardo
  • , ANDROMEDA-SHOCK-2 Investigators
  • , Alexandre Biasi Cavalcanti
  • , Tiago Mendonça Dos Santos
  • , Gustavo Ospina-Tascón
  • , Jan Bakker
  • , Sebastián Morales
  • , Karla Ramos
  • , Leyla Alegria
  • , Jean Louis Teboul
  • , Daniel De Backer
  • , Antoine Vieillard-Baron
  • , Liliana Vallecilla Fernandez
  • , Lucas Martins de Lima
  • , Lucas Petri Damiani
  • , Erica Ribeiro Sady
  • , Eliana Vieira Santucci
  • , Glenn Hernandez
  • , Eduardo Kattan*
  • *Corresponding author for this work
  • Fundación Valle del Lili
  • Universidade de São Paulo
  • Pontificia Universidad Católica de Chile
  • Université Paris-Saclay
  • Université libre de Bruxelles
  • Hôpital Ambroise Paré

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)
48 Downloads (Pure)

Abstract

Background: 

ANDROMEDA-SHOCK 2 is an international, multicenter, randomized controlled trial comparing hemodynamic phenotype-based, capillary refill time-targeted resuscitation in early septic shock to standard care resuscitation to test the hypothesis that the former is associated with lower morbidity and mortality in terms of hierarchal analysis of outcomes.

Objective: 

To report the statistical plan for the ANDROMEDA--SHOCK 2 randomized clinical trial. 

Methods: 

We briefly describe the trial design, patients, methods of randomization, interventions, outcomes, and sample size. We portray our planned statistical analysis for the hierarchical primary outcome using the stratified win ratio method, as well as the planned analysis for the secondary and tertiary outcomes. We also describe the subgroup and sensitivity analyses. Finally, we provide details for presenting our results, including mock tables, baseline characteristics, and the effects of treatments on outcomes. 

Conclusion: 

According to best trial practices, we report our statistical analysis plan and data management plan prior to locking the database and initiating the analyses. We anticipate that this practice will prevent analysis bias and improve the utility of the study’s reported results.

Original languageEnglish
Article numbere20250140
JournalCritical Care Science
Volume37
DOIs
Publication statusPublished - 2025

Bibliographical note

ClinicalTrials.gov identifier: NCT05057611
EudraCT number: 2021-005358-28

Publisher Copyright:
© 2025, Associacao de Medicina Intensiva Brasileira - AMIB. All rights reserved.

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