Safety and efficacy of a novel algorithm to guide decision-making in high-risk interventional coronary procedures.
Journal
International journal of cardiology
ISSN: 1874-1754
Titre abrégé: Int J Cardiol
Pays: Netherlands
ID NLM: 8200291
Informations de publication
Date de publication:
15 01 2020
15 01 2020
Historique:
received:
10
07
2019
accepted:
24
07
2019
pubmed:
6
8
2019
medline:
24
11
2020
entrez:
6
8
2019
Statut:
ppublish
Résumé
Patients with severe coronary artery disease (CAD), comorbidities, or impaired hemodynamics are at risk during percutaneous coronary interventions. The aim of the study was to investigate the safety and efficacy of a novel risk-stratification algorithm for high-risk coronary procedures. We prospectively screened 1189 patients with CAD requiring revascularization (period 07/2017-06/2018). The algorithm was designed to select high-risk procedures. Patients with elevated risk (n = 150) were classified into 3 risk groups (high-risk intervention [HRI] I-III) and procedural management was adjusted according to HRI group. Overall, 55 patients were categorized as HRI I, 52 as HRI II, and 43 as HRI III. With increasing HRI-level, SYNTAX score increased (HRI I:15 ± 5% vs. HRI II:24 ± 8% vs. HRI III:34 ± 7%; p < 0.001), and ejection-fraction decreased (HRI I:48 ± 10% vs. HRI II:49 ± 10% vs. HRI III:40 ± 11%; p < 0.001). The primary endpoint (hemodynamic compromise requiring mechanical circulatory support [MCS] [HRI I/II], unsuccessful weaning from MCS in the catheterization laboratory[HRI III], or periprocedural death[HRI I-III]) occurred in no case. The secondary endpoint of hemodynamic deterioration occurred in 26% (n = 39) but did not result in hemodynamic instability due to the risk-adjusted procedural management. The composite endpoint of in-hospital major adverse cardiac and cerebrovascular events (death, new myocardial infarction, cerebrovascular accident) occurred in 4 patients (3%). The novel algorithm is a safe team-based stratification method for the identification and management of patients undergoing high-risk coronary interventions.
Sections du résumé
BACKGROUND
Patients with severe coronary artery disease (CAD), comorbidities, or impaired hemodynamics are at risk during percutaneous coronary interventions. The aim of the study was to investigate the safety and efficacy of a novel risk-stratification algorithm for high-risk coronary procedures.
METHODS AND RESULTS
We prospectively screened 1189 patients with CAD requiring revascularization (period 07/2017-06/2018). The algorithm was designed to select high-risk procedures. Patients with elevated risk (n = 150) were classified into 3 risk groups (high-risk intervention [HRI] I-III) and procedural management was adjusted according to HRI group. Overall, 55 patients were categorized as HRI I, 52 as HRI II, and 43 as HRI III. With increasing HRI-level, SYNTAX score increased (HRI I:15 ± 5% vs. HRI II:24 ± 8% vs. HRI III:34 ± 7%; p < 0.001), and ejection-fraction decreased (HRI I:48 ± 10% vs. HRI II:49 ± 10% vs. HRI III:40 ± 11%; p < 0.001). The primary endpoint (hemodynamic compromise requiring mechanical circulatory support [MCS] [HRI I/II], unsuccessful weaning from MCS in the catheterization laboratory[HRI III], or periprocedural death[HRI I-III]) occurred in no case. The secondary endpoint of hemodynamic deterioration occurred in 26% (n = 39) but did not result in hemodynamic instability due to the risk-adjusted procedural management. The composite endpoint of in-hospital major adverse cardiac and cerebrovascular events (death, new myocardial infarction, cerebrovascular accident) occurred in 4 patients (3%).
CONCLUSIONS
The novel algorithm is a safe team-based stratification method for the identification and management of patients undergoing high-risk coronary interventions.
Identifiants
pubmed: 31378378
pii: S0167-5273(19)33521-1
doi: 10.1016/j.ijcard.2019.07.080
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
87-92Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2019 Elsevier B.V. All rights reserved.