Literature DB >> 26489972

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

Hiram G Bezerra1, Emile Mehanna1, George W Vetrovec2, Marco A Costa1, Giora Weisz3,4.   

Abstract

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.
© 2015, Wiley Periodicals, Inc.

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Year:  2015        PMID: 26489972     DOI: 10.1111/joic.12231

Source DB:  PubMed          Journal:  J Interv Cardiol        ISSN: 0896-4327            Impact factor:   2.279


  8 in total

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Authors:  Marcelo Antônio Cartaxo Queiroga Lopes; Gláucia Maria Moraes de Oliveira; Antonio Luiz Pinho Ribeiro; Fausto J Pinto; Helena Cramer Veiga Rey; Leandro Ioschpe Zimerman; Carlos Eduardo Rochitte; Fernando Bacal; Carisi Anne Polanczyk; Cidio Halperin; Edson Correia Araújo; Evandro Tinoco Mesquita; José Airton Arruda; Luis Eduardo Paim Rohde; Max Grinberg; Miguel Moretti; Paulo Ricardo Avancini Caramori; Roberto Vieira Botelho; Andréa Araújo Brandão; Ludhmila Abrahão Hajjar; Alexandre Fonseca Santos; Alexandre Siciliano Colafranceschi; Ana Paula Beck da Silva Etges; Bárbara Campos Abreu Marino; Bruna Stella Zanotto; Bruno Ramos Nascimento; Cesar Rocha Medeiros; Daniel Vitor de Vasconcelos Santos; Daniela Matos Arrowsmith Cook; Eduardo Antoniolli; Erito Marques de Souza Filho; Fábio Fernandes; Fabio Gandour; Francisco Fernandez; Germano Emilio Conceição Souza; Guilherme de Souza Weigert; Iran Castro; Jamil Ribeiro Cade; José Albuquerque de Figueiredo Neto; Juliano de Lara Fernandes; Marcelo Souza Hadlich; Marco Antonio Praça Oliveira; Maria Beatriz Alkmim; Maria Cristina da Paixão; Maurício Lopes Prudente; Miguel A S Aguiar Netto; Milena Soriano Marcolino; Monica Amorim de Oliveira; Osvaldo Simonelli; Pedro A Lemos Neto; Priscila Raupp da Rosa; Renato Minelli Figueira; Roberto Caldeira Cury; Rodrigo Coelho Almeida; Sandra Regina Franco Lima; Silvio Henrique Barberato; Thiago Inocêncio Constancio; Wladimir Fernandes de Rezende
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Review 8.  Robotic-Assisted Percutaneous Coronary Intervention: Rationale, Implementation, Case Selection and Limitations of Current Technology.

Authors:  Michael Ragosta; Kanwar P Singh
Journal:  J Clin Med       Date:  2018-01-30       Impact factor: 4.241

  8 in total

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