REMAP Periop: a randomised, embedded, multifactorial adaptive platform trial protocol for perioperative medicine to determine the optimal enhanced recovery pathway components in complex abdominal surgery patients within a US healthcare system
Brian Williams,
Jennifer Holder-Murray,
Kathirvel Subramaniam,
Kert Viele,
Oscar C Marroquin,
Scott Berry,
Aman Mahajan,
Luca La Colla,
Charles Luke,
Alison R Althans,
Stephen A Esper,
Joshua Knight,
Joseph Derenzo,
Ryan Ball,
Shawn Beaman,
Nicholas Schott,
Elizabeth Lorenzi,
Lindsay R Berry,
Miranda Masters,
Katie A Meister,
Todd Wilkinson,
William Garrard
Affiliations
Brian Williams
Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Jennifer Holder-Murray
Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Kathirvel Subramaniam
Anesthesiology, UPMC, Pittsburgh, Pennsylvania, USA
Kert Viele
Berry Consultants Statistical Innovation, Austin, Texas, USA
Oscar C Marroquin
Clinical Analytics, UPMC, Pittsburgh, Pennsylvania, USA
Scott Berry
Berry Consultants Statistical Innovation, Austin, Texas, USA
Aman Mahajan
14 Department of Anesthesiology, David Geffen School of Medicine at University of California, Los Angeles, California, USA
Luca La Colla
Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Charles Luke
Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Alison R Althans
Department of Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, Pennsylvania, USA
Stephen A Esper
Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Joshua Knight
Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Joseph Derenzo
Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Ryan Ball
Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Shawn Beaman
Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Nicholas Schott
Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Elizabeth Lorenzi
Berry Consultants, Austin, Texas, USA
Lindsay R Berry
Berry Consultants, Austin, Texas, USA
Miranda Masters
Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Katie A Meister
Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Todd Wilkinson
Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
William Garrard
Clinical Analytics, UPMC, Pittsburgh, Pennsylvania, USA
Introduction Implementation of enhanced recovery pathways (ERPs) has resulted in improved patient-centred outcomes and decreased costs. However, there is a lack of high-level evidence for many ERP elements. We have designed a randomised, embedded, multifactorial, adaptive platform perioperative medicine (REMAP Periop) trial to evaluate the effectiveness of several perioperative therapies for patients undergoing complex abdominal surgery as part of an ERP. This trial will begin with two domains: postoperative nausea/vomiting (PONV) prophylaxis and regional/neuraxial analgesia. Patients enrolled in the trial will be randomised to arms within both domains, with the possibility of adding additional domains in the future.Methods and analysis In the PONV domain, patients are randomised to optimal versus supraoptimal prophylactic regimens. In the regional/neuraxial domain, patients are randomised to one of five different single-injection techniques/combination of techniques. The primary study endpoint is hospital-free days at 30 days, with additional domain-specific secondary endpoints of PONV incidence and postoperative opioid consumption. The efficacy of an intervention arm within a given domain will be evaluated at regular interim analyses using Bayesian statistical analysis. At the beginning of the trial, participants will have an equal probability of being allocated to any given intervention within a domain (ie, simple 1:1 randomisation), with response adaptive randomisation guiding changes to allocation ratios after interim analyses when applicable based on prespecified statistical triggers. Triggers met at interim analysis may also result in intervention dropping.Ethics and dissemination The core protocol and domain-specific appendices were approved by the University of Pittsburgh Institutional Review Board. A waiver of informed consent was obtained for this trial. Trial results will be announced to the public and healthcare providers once prespecified statistical triggers of interest are reached as described in the core protocol, and the most favourable interventions will then be implemented as a standardised institutional protocol.Trial registration number NCT04606264.