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Journal of interventional cardiology · 2015

Longitudinal Geographic Miss (LGM) in Robotic Assisted Versus Manual Percutaneous Coronary Interventions.

Клиническое исследованиеСтатьяМногоцентровое исследованиеНазвание и аннотация: Перевод пока не подготовлен
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Bezerra Hiram G, Mehanna Emile, W Vetrovec George, A Costa Marco, Weisz Giora

Аннотация

OBJECTIVES: To evaluate the impact of robotic-assisted percutaneous coronary intervention (RA-PCI) versus manual PCI (M-PCI) on the incidence of Longitudinal Geographic Miss (LGM).

BACKGROUND: The safety and feasibility of RA-PCI has been established in preclinical animal trials and human clinical trials. Patients with LGM have been shown to have worse clinical outcomes including significantly increased incidences of MACE.

METHODS: Patients with significant coronary artery disease underwent RA-PCI in the PRECISE study (n=164) and standard M-PCI in the STLLR trial (n = 1,509). Longitudinal geographic miss was defined as cases where the entire length of the injured or stenotic segment was not fully covered by the total length of the stent. The incidence of LGM was compared between RA-PCI and M-PCI cohorts.

RESULTS: The RA-PCI cohort had a significantly greater prevalence of previous MI, previous coronary revascularization, and unstable angina. The robotic cohort exhibited a lower incidence of LGM when compared to the M-PCI patients, 12.2% to 43.1%, respectively (P < 0.0001). To account for the differences in baseline characteristics between the two studies, a propensity score analysis was conducted. The propensity modeling showed similar rates of LGM in both a larger group of patients that met key PRECISE study inclusion/exclusion criteria adjusted for propensity score (9.3% vs 55.0%; P < 0.0001) and in a smaller, matched on propensity score, subset of patients (10.3% vs 64.1%; P < 0.0001).

CONCLUSION: Robotic-assisted PCI had significantly lower incidence of LGM compared to standard M-PCI. Reducing LGM potentially improves long-term clinical outcomes through reduction in MACE.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты