Simon M. Schoenbuchner
Biomarker-guided duration of antibiotic treatment in children hospitalised with confirmed or suspected bacterial infection: statistical analysis plan for the BATCH trial and PRECISE sub-study
Schoenbuchner, Simon M.; Huang, Chao; Waldron, Cherry Ann; Thomas-Jones, Emma; Hood, Kerenza; Carrol, Enitan D.; Pallmann, Philip
Authors
Dr Chao Huang C.Huang@hull.ac.uk
Reader in Statistics
Cherry Ann Waldron
Emma Thomas-Jones
Kerenza Hood
Enitan D. Carrol
Philip Pallmann
Abstract
Introduction: The BATCH trial is a multi-centre randomised controlled trial to compare procalcitonin-guided management of severe bacterial infection in children with current management. PRECISE is a mechanistic sub-study embedded into the BATCH trial. This paper describes the statistical analysis plan for the BATCH trial and PRECISE sub-study. Methods: The BATCH trial will assess the effectiveness of an additional procalcitonin test in children (aged 72 h to 18 years) hospitalised with suspected or confirmed bacterial infection to guide antimicrobial prescribing decisions. Participants will be enrolled in the trial from randomisation until day 28 follow-up. The co-primary outcomes are duration of intravenous antibiotic use and a composite safety outcome. Target sample size is 1942 patients, based on detecting a 1-day reduction in intravenous antibiotic use (90% power, two-sided) and on a non-inferiority margin of 5% risk difference in the composite safety outcome (90% power, one-sided), while allowing for up to 10% loss to follow-up. Results: Baseline characteristics will be summarised overall, by trial arm, and by whether patients were recruited before or after the pause in recruitment due to the COVID-19 pandemic. In the primary analysis, duration of intravenous antibiotic use will be tested for superiority using Cox regression, and the composite safety outcome will be tested for non-inferiority using logistic regression. The intervention will be judged successful if it reduces the duration of intravenous antibiotic use without compromising safety. Secondary analyses will include sensitivity analyses, pre-specified subgroup analyses, and analysis of secondary outcomes. Two sub-studies, including PRECISE, involve additional pre-specified subgroup analyses. All analyses will be adjusted for the balancing factors used in the randomisation, namely centre and patient age. Conclusion: We describe the statistical analysis plan for the BATCH trial and PRECISE sub-study, including definitions of clinical outcomes, reporting guidelines, statistical principles, and analysis methods. The trial uses a design with co-primary superiority and non-inferiority endpoints. The analysis plan has been written prior to the completion of follow-up. Trial registration: BATCH: ISRCTN11369832, registered 20 September 2017, doi.org/10.1186/ISRCTN11369832. PRECISE: ISRCTN14945050, registered 17 December 2020, doi.org/10.1186/ISRCTN14945050.
Citation
Schoenbuchner, S. M., Huang, C., Waldron, C. A., Thomas-Jones, E., Hood, K., Carrol, E. D., & Pallmann, P. (2023). Biomarker-guided duration of antibiotic treatment in children hospitalised with confirmed or suspected bacterial infection: statistical analysis plan for the BATCH trial and PRECISE sub-study. Trials, 24(1), Article 364. https://doi.org/10.1186/s13063-022-06956-9
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 22, 2022 |
Online Publication Date | May 30, 2023 |
Publication Date | Dec 1, 2023 |
Deposit Date | Jul 30, 2023 |
Publicly Available Date | Jul 31, 2023 |
Journal | Trials |
Print ISSN | 1745-6215 |
Electronic ISSN | 1745-6215 |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
Volume | 24 |
Issue | 1 |
Article Number | 364 |
DOI | https://doi.org/10.1186/s13063-022-06956-9 |
Keywords | Antimicrobial stewardship; Procalcitonin; Severe bacterial infection; Hospitalised children; Randomised controlled trial; Statistical analysis plan |
Public URL | https://hull-repository.worktribe.com/output/4337549 |
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© The Author(s) 2023. .
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
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