Methods
Clinical trial
The design and results of EBC MAIN have been published.1 4 The study hypothesis was that left main coronary bifurcation lesions are best treated with a planned single-stent strategy rather than a planned dual-stent strategy, with respect to death, target lesion revascularisation and myocardial infarction at 1 year. The primary study endpoint was a composite of death, myocardial infarction and target lesion revascularisation at 12 months. Secondary endpoints were: death, myocardial infarctions and target lesion revascularisation, each at 12 months; angina status, stent thrombosis, death, myocardial infarction, target lesion revascularisation at 3-year and 5-year clinical follow-up.
The study protocol was registered in the ClinicalTrials.gov registry (NCT02497014). The study was supported by an unrestricted educational grant from Medtronic. The trial was administered and overseen by a Clinical Research Organisation (Cardiovascular European Research Center, CERC, Massy, France) and the endpoints related events were adjudicated by a Clinical Events Committee and a Data and Safety Monitoring Board. An independent CoreLab analysed the procedural angiograms and all revascularisation procedures. The study protocol, clinical investigation plan and the statistical analysis plan were developed by CERC, the economic evaluation was preplanned.4 In summary, 467 with true left main stem bifurcation lesions requiring intervention recruited in 11 European countries were randomly allocated to the stepwise layered provisional strategy (n=230) or the systematic dual stent strategy (n=237). The primary endpoint (a composite of death, myocardial infarction, and target lesion revascularisation at 12 months) occurred in 14.7% of the stepwise provisional group versus 17.7% of the systematic dual stent group (HR 0.8, 95% CI 0.5–1.3; p value=0.34).
Cost-effectiveness analysis
The primary endpoint for the effectiveness was the primary clinical composite outcome of EBC MAIN defined as the composite of all-cause death, non-fatal myocardial infarction and target lesion revascularisation (MACE), at 1 year between the stepwise provisional group and the systematic dual stenting group, calculated as the total number of events in each group divided by the total population. A within-trial cost utility analysis was not possible since no quality of life data had been collected during the trial.
The endpoint of the economic evaluation was the 12-month ICER expressed as the difference in costs divided by the difference in MACE. Total costs were estimated from the date of recruitment until the earliest of death, withdrawal and 12 months. Measures of within-trial use of hospital resources were based on routine hospital data via patient-level information and costing systems, and entries in case report forms (CRFs) for devices. The cost analysis was undertaken from a hospital perspective in the French and English settings. We selected these countries with close practice patterns because of the known negative correlation between unit costs and volume of hospital resources. We did a fully pooled analysis for resource utilisation and clinical outcomes and valued resource use at country prices. We followed the Consolidated Health Economic Evaluation Reporting Standards reporting guidelines.5
Costs for each strategy included:
Usage data for hospital resources were obtained from discharge summaries for the index admission. Repeat hospital admissions were identified from the study electronic CRF (eCRF) for adverse events. We took into account only events labelled as relevant by the clinical event committee.
The cost of the index admission were calculated based on the severity—adjusted diagnosis related groups (DRGs) obtained from the national hospital cost study6 for costs in France and from the National Cost Collection for costs in the UK.7 We estimated for each DRG the procedure related costs and the length of stay related costs based on the average national values, and recalculated each for the trial patients using the actual procedure duration, number of guides, stents and balloons and length of stay reported in the CRF.
Repeat hospital admissions were identified from the study eCRF for adverse events. When multiple MACE occurred in a cluster, we assigned to each the relevant DRG and its associated costs and selected the DRG associated with the highest activity. Deaths that were not associated with a cluster of other MACE were not valued.
All unit costs for supplies and DRGs are presented in online supplemental table 1. All costs were valued at 2021 prices. UK pounds were converted into euros using the Organisation for Economic Co-operation and Development purchasing parity power £1=€1.07.8 Both costs and outcomes were undiscounted because of the short time horizon. The ICER, defined as the difference in cost between the two strategies divided by the difference in effectiveness, was reported in cost per MACE averted.
Statistical analysis
The statistical analyses were performed on the intention-to-treat (ITT) and per-protocol (PP) populations.9 Multivariate imputation by chained equations was used to process missing data.10 11 Imputed datasets were generated using predictive mean matching from a set of imputation models constructed from all potential prognostic factors: sex, age, site, country, time spent in the trial and by intervention group.
Cost and efficacy data were expressed as mean±SD. The cost differences between groups were compared with a sampled permutation test with 1000 replications. Group differences in MACE and repeat hospital admissions were compared with a Poisson model or a negative binomial regression. Poisson regressions assume that the variance of the distribution is equal to its mean. If this assumption was not met, we used negative binomial regression. Other quantitative data were compared by treatment group using: (1) the standard Student’s t-test, when the assumptions of homogeneity (equal variances between groups) and normality were met, (2) the Welch’s t-test, a parametric alternative to the t-test, when the assumption of homogeneity was not met, (3) the Mann-Whitney U test, a non-parametric test, when the dependent variable was not normally distributed.
The uncertainty of the results was analysed using a non-parametric bootstrap, which provided multiple estimates of the ICER by randomly resampling the patient population 1000 times. Results were presented as a scatter plot of 1000 ICERs on the cost-effectiveness plane and transformed into a cost-effectiveness acceptability curve based on the decision-makers’ willingness to pay for an additional quality-adjusted life year. All the 95% CIs were estimated with non-parametric bootstrap. A p value less than 0.05 was considered significant.
All health economic analyses were performed using the following packages in R: Tidyverse, Boot, Janitor, Coin and Mice packages in R.12