Arq. Bras. Cardiol. 2020; 115(4): 613-619

Patients’ Preferences after Recurrent Coronary Narrowing: Discrete Choice Experiments

Carlos Alberto da Silva Magliano , Andrea Liborio Monteiro , Amanda Rebeca de Oliveira Rebelo, Giovanna Francisconi Santos, Claudia Cristina de Aguiar Pereira , Nikolas Krucien, Roberto Magalhães Saraiva

DOI: 10.36660/abc.20190305

Abstract

Background:

Selecting the optimal treatment strategy for coronary revascularization is challenging. A crucial endpoint to be considered when making this choice is the necessity to repeat revascularization since it is much more frequent after percutaneous coronary intervention (PCI) than after coronary artery bypass grafting (CABG).

Objective:

This study intends to provide insights on patients’ preferences for revascularization, strategies in the perspective of patients who had to repeat revascularization.

Methods:

We selected a sample of patients who had undergone PCI and were hospitalized to repeat coronary revascularization and elicited their preferences for a new PCI or CABG. Perioperative death, long-term death, myocardial infarction, and repeat revascularization were used to design scenarios describing hypothetical treatments that were labeled as PCI or CABG. PCI was always presented as the option with lower perioperative death risk and a higher necessity to repeat procedure. A conditional logit model was used to analyze patients’ choices using R software. A p value < 0.05 was considered statistically significant.

Results:

A total of 144 patients participated, most of them (73.7%) preferred CABG over PCI (p < 0.001). The regression coefficients were statistically significant for PCI label, PCI long-term death, CABG perioperative death, CABG long-term death and repeat CABG. The PCI label was the most important parameter (p < 0.05).

Conclusion:

Most patients who face the necessity to repeat coronary revascularization reject a new PCI, considering realistic levels of risks and benefits. Incorporating patients’ preferences into benefit-risk calculation and treatment recommendations could enhance patient-centered care.