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ABSTRACT: Background
Robotic-assisted percutaneous coronary intervention (R-PCI) is an efficacious and safe treatment option for coronary artery disease. However, predictors of manual support during R-PCI are unknown, which we aimed to investigate in a multi-center study.Methods
We utilized patient-level data from R-PCIs carried out from 2020 to 2022 at four sites in Germany. Manual support was defined as the combination of partial manual assistance, where the procedure is ultimately completed using robotic techniques, and manual conversion. A two-step selection process based on akaike information criteria was used to identify the ideal multivariable model predicting manual support.Results
In 210 patients (median age 69.0 years; 25.7% female), a total of 231 coronary lesions
SUBMITTER: Bay B
PROVIDER: S-EPMC12783154 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature