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The value of a two-armed Bayesian response adaptive randomization trial.

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Bayesian response adaptive randomization (RAR) effectively managed a pregnancy study on docosahexaenoic acid despite COVID-19 disruptions. This adaptive design shows promise for future clinical trials.

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Area of Science:

  • Obstetrics and Gynecology
  • Clinical Trial Design
  • Nutritional Science

Background:

  • Early preterm birth remains a significant concern in neonatal health.
  • Docosahexaenoic acid (DHA) supplementation during pregnancy is explored for its potential benefits.
  • Bayesian response adaptive randomization (RAR) offers a flexible approach to clinical trial design.

Purpose of the Study:

  • To evaluate the efficacy of high versus low doses of docosahexaenoic acid (DHA) in reducing early preterm birth rates.
  • To assess the practical application and value of a two-armed Bayesian response adaptive randomization (RAR) design in a real-world clinical setting.
  • To describe the execution of the study utilizing the RAR design amidst unforeseen challenges.

Main Methods:

  • A two-armed Bayesian response adaptive randomization (RAR) design was employed.
  • Recruitment targeted 1355 participants but was paused prematurely at 1100 due to the COVID-19 pandemic.
  • The study investigated early preterm birth rates in relation to high versus low doses of DHA during pregnancy.

Main Results:

  • The study was halted due to the COVID-19 pandemic impacting participant recruitment.
  • The difference in statistical power between the paused recruitment (87%) and planned recruitment (90%) was minimal.
  • The RAR design facilitated the study's execution despite the interruption.

Conclusions:

  • The Bayesian response adaptive randomization (RAR) design proved valuable and adaptable in managing the clinical trial.
  • Despite premature closure, the RAR methodology demonstrated its utility in two-armed studies.
  • The findings suggest that RAR designs hold significant promise for future clinical research, offering flexibility and efficiency.