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MyTEMP: Statistical Analysis Plan of a Registry-Based, Cluster-Randomized Clinical Trial
Stephanie N Dixon1,2,3, Jessica M Sontrop1,3, Ahmed Al-Jaishi1,2,4
1Lawson Health Research Institute, London, ON, Canada.
The MyTEMP trial investigated personalized, reduced dialysate temperature for hemodialysis patients. This approach did not significantly reduce cardiovascular death or hospitalization compared to standard temperatures.
Area of Science:
- Nephrology and Cardiovascular Health
- Clinical Trial Design and Analysis
- Dialysis and Patient Outcomes
Background:
- The Major Outcomes with Personalized Dialysate TEMPerature (MyTEMP) trial is a 4-year cluster-randomized clinical trial.
- It compares a personalized, temperature-reduced dialysate protocol against a standard 36.5°C dialysate temperature.
- The study aims to assess the impact on cardiovascular-related death and hospitalization in hemodialysis patients.
Purpose of the Study:
- To outline the statistical analysis plan for the MyTEMP clinical trial.
- To detail the methodology for analyzing primary and secondary outcomes.
- To ensure a robust and transparent evaluation of the personalized dialysate temperature intervention.
Main Methods:
- A pragmatic, 2-arm, parallel-group, registry-based, open-label, cluster-randomized trial involving 84 dialysis centers in Ontario, Canada.
- Approximately 13,500 patients receiving in-center hemodialysis were included.
- Data were primarily sourced from administrative health care databases; covariate-constrained randomization allocated centers to intervention or control groups.
Main Results:
- The primary outcome is a composite of cardiovascular-related death or major cardiovascular-related hospitalization.
- A key secondary outcome is the mean drop in intradialytic systolic blood pressure.
- The primary analysis uses an intent-to-treat approach with a subdistribution hazards model, accounting for within-center correlation.
Conclusions:
- The statistical analysis plan provides a framework for evaluating the MyTEMP trial's effectiveness.
- The study design and analysis methods aim to provide reliable insights into personalized dialysate temperature's impact.
- Results are anticipated by 2023, contributing to evidence-based dialysis practices.
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