Dataset Information

Algorithms for challenging scenarios encountered in transradial intervention.

ABSTRACT: Transradial intervention (TRI) was first introduced by Lucien Campeau in 1989 and since then has created a lasting impact in the field of interventional cardiology. Several studies have demonstrated that TRI is associated with fewer vascular site complications, offer earlier ambulation and greater post-procedural comfort. Patients presenting with ST Segment Elevation Myocardial Infarction (STEMI) have experienced survival benefit and higher quality-of-life metrics as well with TRI. While both the updated scientific statement by the American Heart Association and the 2017 European Society of Cardiology guidelines recommend a "radial first" approach there appears to be a lag in physicians adapting TRI as the preferred vascular access. We present a review focusing on identification and management of TRA related challenges and complications using a systematic algorithmic approach.

SUBMITTER: Sawant AC

PROVIDER: S-EPMC8065373 | biostudies-literature | 2021 Mar-Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Algorithms for challenging scenarios encountered in transradial intervention.

Sawant Abhishek C AC Rizik David G DG Rao Sunil V SV Pershad Ashish A

Indian heart journal 20200918 2

Transradial intervention (TRI) was first introduced by Lucien Campeau in 1989 and since then has created a lasting impact in the field of interventional cardiology. Several studies have demonstrated that TRI is associated with fewer vascular site complications, offer earlier ambulation and greater post-procedural comfort. Patients presenting with ST Segment Elevation Myocardial Infarction (STEMI) have experienced survival benefit and higher quality-of-life metrics as well with TRI. While both th ...[more]

PMID: 33865510

Similar Datasets

Project description:BackgroundA long recognized problem is the inference of the supertree S that amalgamates a given set {G(j)} of trees G(j), with leaves in each G(j) being assigned homologous elements. We ground on an approach to find the tree S by minimizing the total cost of mappings ?(j) of individual gene trees G(j) into S. Traditionally, this cost is defined basically as a sum of duplications and gaps in each ?(j). The classical problem is to minimize the total cost, where S runs over the set of all trees that contain an exhaustive non-redundant set of species from all input G(j).ResultsWe suggest a reformulation of the classical NP-hard problem of building a supertree in terms of the global minimization of the same cost functional but only over species trees S that consist of clades belonging to a fixed set P (e.g., an exhaustive set of clades in all G(j)). We developed a deterministic solving algorithm with a low degree polynomial (typically cubic) time complexity with respect to the size of input data. We define an extensive set of elementary evolutionary events and suggest an original definition of mapping ? of tree G into tree S. We introduce the cost functional c(G, S, f) and define the mapping ? as the global minimum of this functional with respect to the variable f, in which sense it is a generalization of classical mapping ?. We suggest a reformulation of the classical NP-hard mapping (reconciliation) problem by introducing time slices into the species tree S and present a cubic time solving algorithm to compute the mapping ?. We introduce two novel definitions of the evolutionary scenario based on mapping ? or a random process of gene evolution along a species tree.ConclusionsDeveloped algorithms are mathematically proved, which justifies the following statements. The supertree building algorithm finds exactly the global minimum of the total cost if only gene duplications and losses are allowed and the given sets of gene trees satisfies a certain condition. The mapping algorithm finds exactly the minimal mapping ?, the minimal total cost and the evolutionary scenario as a minimum over all possible distributions of elementary evolutionary events along the edges of tree S. The algorithms and their effective software implementations provide useful tools in many biological studies. They facilitate processing of voluminous tree data in acceptable time still largely avoiding heuristics. Performance of the tools is tested with artificial and prokaryotic tree data.ReviewersThis article was reviewed by Prof. Anthony Almudevar, Prof. Alexander Bolshoy (nominated by Prof. Peter Olofsson), and Prof. Marek Kimmel.

Dataset Information

Algorithms for challenging scenarios encountered in transradial intervention.

Publications

Algorithms for challenging scenarios encountered in transradial intervention.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets