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Prediction of radial crossover in acute coronary syndromes

Authors :
Giuseppe Sangiorgi
Felice Gragnano
Luigi Fimiani
Giovanni Esposito
Salvatore Chianese
Shamir R. Mehta
Marco Valgimigli
Sergio Leonardi
Mattia Branca
Enrico Romagnoli
Dik Heg
Emanuele Monda
Pascal Vranckx
David van Klaveren
Giuseppe Gargiulo
Giuseppe Biondi-Zoccai
Paolo Calabrò
Vincenzo Fioretti
Giuseppe Andò
Stephan Windecker
Enrico Frigoli
Dario Di Maio
Sanjit S. Jolly
Gragnano, F.
Jolly, S. S.
Mehta, S.
Branca, M.
van Klaveren, D.
Frigoli, E.
Gargiulo, G.
Leonardi, S.
Vranckx, P.
Di Maio, D.
Monda, E.
Fimiani, L.
Fioretti, V.
Chianese, S.
Ando, G.
Esposito, G.
Sangiorgi, G. M.
Biondi-Zoccai, G.
Heg, D.
Calabrò, Paolo
Windecker, S.
Romagnoli, E.
Valgimigli, M.
Public Health
Source :
EuroIntervention, EuroIntervention, 17(12), E971-E980. EuroPCR
Publication Year :
2021

Abstract

BACKGROUND The radial artery is recommended by international guidelines as the default vascular access in patients with acute coronary syndromes (ACS) managed invasively. However, crossover from radial to femoral access is required in 4-10% of cases and has been associated with worse outcomes. No standardised algorithm exists to predict the risk of radial crossover. AIMS We sought to derive and externally validate a risk score to predict radial crossover in patients with ACS managed invasively. METHODS The derivation cohort consisted of 4,197 patients with ACS undergoing invasive management via the randomly allocated radial access from the MATRIX trial. Using logistic regression, we selected predictors of radial crossover and developed a numerical risk score. External validation was accomplished among 3,451 and 491 ACS patients managed invasively and randomised to radial access from the RIVAL and RIFLE-STEACS trials, respectively. RESULTS The MATRIX score (age, height, smoking, renal failure, prior coronary artery bypass grafting, ST-segment elevation myocardial infarction, Killip class, radial expertise) showed a c-index for radial crossover of 0.71 (95% CI: 0.67-0.75) in the derivation cohort. Discrimination ability was modest in the RIVAL (c-index: 0.64; 95% CI: 0.59-0.67) and RIFLE-STEACS (c-index: 0.66; 95% CI: 0.57-0.75) cohorts. A cut-off of ≥41 points was selected to identify patients at high risk of radial crossover. CONCLUSIONS The MATRIX score is a simple eight-item risk score which provides a standardised tool for the prediction of radial crossover among patients with ACS managed invasively. This tool can assist operators in anticipating and better addressing difficulties related to transradial procedures, potentially improving outcomes.

Details

Language :
English
ISSN :
1774024X
Volume :
17
Issue :
12
Database :
OpenAIRE
Journal :
EuroIntervention
Accession number :
edsair.doi.dedup.....fc2bc228c1a8441064da2c6deb3dd095
Full Text :
https://doi.org/10.4244/eij-d-21-00441