ICARUS score for predicting peri-procedural bleeding in patients undergoing percutaneous coronary intervention with cangrelor.

Bleeding Cangrelor High bleeding risk Percutaneous coronary intervention Score Stent thrombosis

Journal

International journal of cardiology
ISSN: 1874-1754
Titre abrégé: Int J Cardiol
Pays: Netherlands
ID NLM: 8200291

Informations de publication

Date de publication:
14 Sep 2024
Historique:
received: 09 07 2024
revised: 22 08 2024
accepted: 13 09 2024
medline: 17 9 2024
pubmed: 17 9 2024
entrez: 16 9 2024
Statut: aheadofprint

Résumé

Tools for precise prediction of bleeding risk in patients undergoing percutaneous coronary intervention (PCI) with cangrelor are lacking. Consecutive patients undergoing PCI and treated with cangrelor in 7 centers were retrospectively enrolled. The primary endpoint was Bleeding Academic Research Consortium (BARC) BARC 2, 3, or 5 bleeding 48 h after PCI. Predictors of BARC 2-5 bleeding were identified in a derivation cohort and combined into a numerical risk score. Discrimination and calibration were assessed in the derivation and validation cohorts. A threshold to define high bleeding risk (HBR) was identified and its diagnostic accuracy was compared with that of currently recommended bleeding risk scores. 1071 patients undergoing PCI with cangrelor were included. Fifty-four patients (5 %) experienced a BARC 2-5 bleeding, of whom 24 (44 %) from the access site. Age ≥ 75 years (odds ratio [OR] 2.58, 95 % confidence interval [CI] 1.21-5.48, p = 0.01), acute coronary syndrome at presentation (OR 8.14, 95 % CI 2.28-52, p = 0.01), and femoral access (OR 6.21, 95 % CI 2.71-14, p < 0.001) independently predicted BARC 2-5 bleeding at 48 h after PCI. The three items were combined to form a new risk score, the ICARUS score, showing good discrimination in both the derivation (area under the curve [AUC] 0.78) and internal validation (AUC 0.77) cohorts, and excellent calibration. An ICARUS score > 9 points accurately identified patients at HBR, showing better discrimination than other risk scores. A risk score based on age, clinical presentation and access site, predicts the risk of periprocedural bleeding in patients receiving cangrelor (ClinicalTrials.gov ID: NCT05505591).

Sections du résumé

BACKGROUND BACKGROUND
Tools for precise prediction of bleeding risk in patients undergoing percutaneous coronary intervention (PCI) with cangrelor are lacking.
METHODS METHODS
Consecutive patients undergoing PCI and treated with cangrelor in 7 centers were retrospectively enrolled. The primary endpoint was Bleeding Academic Research Consortium (BARC) BARC 2, 3, or 5 bleeding 48 h after PCI. Predictors of BARC 2-5 bleeding were identified in a derivation cohort and combined into a numerical risk score. Discrimination and calibration were assessed in the derivation and validation cohorts. A threshold to define high bleeding risk (HBR) was identified and its diagnostic accuracy was compared with that of currently recommended bleeding risk scores.
RESULTS RESULTS
1071 patients undergoing PCI with cangrelor were included. Fifty-four patients (5 %) experienced a BARC 2-5 bleeding, of whom 24 (44 %) from the access site. Age ≥ 75 years (odds ratio [OR] 2.58, 95 % confidence interval [CI] 1.21-5.48, p = 0.01), acute coronary syndrome at presentation (OR 8.14, 95 % CI 2.28-52, p = 0.01), and femoral access (OR 6.21, 95 % CI 2.71-14, p < 0.001) independently predicted BARC 2-5 bleeding at 48 h after PCI. The three items were combined to form a new risk score, the ICARUS score, showing good discrimination in both the derivation (area under the curve [AUC] 0.78) and internal validation (AUC 0.77) cohorts, and excellent calibration. An ICARUS score > 9 points accurately identified patients at HBR, showing better discrimination than other risk scores.
CONCLUSIONS CONCLUSIONS
A risk score based on age, clinical presentation and access site, predicts the risk of periprocedural bleeding in patients receiving cangrelor (ClinicalTrials.gov ID: NCT05505591).

Identifiants

pubmed: 39284439
pii: S0167-5273(24)01190-2
doi: 10.1016/j.ijcard.2024.132568
pii:
doi:

Banques de données

ClinicalTrials.gov
['NCT05505591']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

132568

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Auteurs

Stefano Benenati (S)

Department of Internal Medicine (Di.M.I.), University of Genoa, Genoa, Italy.

Felice Gragnano (F)

Department of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", Caserta, Italy; Division of Clinical Cardiology, Azienda Ospedaliera di Rilievo Nazionale "Sant'Anna e San Sebastiano", Caserta, Italy.

Riccardo Scalamera (R)

Department of Internal Medicine (Di.M.I.), University of Genoa, Genoa, Italy.

Vincenzo De Sio (V)

Department of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", Caserta, Italy; Division of Clinical Cardiology, Azienda Ospedaliera di Rilievo Nazionale "Sant'Anna e San Sebastiano", Caserta, Italy.

Antonio Capolongo (A)

Department of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", Caserta, Italy; Division of Clinical Cardiology, Azienda Ospedaliera di Rilievo Nazionale "Sant'Anna e San Sebastiano", Caserta, Italy.

Arturo Cesaro (A)

Department of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", Caserta, Italy; Division of Clinical Cardiology, Azienda Ospedaliera di Rilievo Nazionale "Sant'Anna e San Sebastiano", Caserta, Italy.

Gianmarco Annibali (G)

Dipartimento di Cardiologia, A.O. Ordine Mauriziano, Ospedale Umberto I, Turin, Italy.

Salvatore Campagnuolo (S)

Dipartimento di Cardiologia, AOU Città della Salute e della Scienza di Torino, Torino, Italy.

Angelo Silverio (A)

Dipartimento di Medicina, Chirurgia e Odontoiatria, Università di Salerno, Baronissi, Salerno, Italy.

Michele Bellino (M)

Dipartimento di Medicina, Chirurgia e Odontoiatria, Università di Salerno, Baronissi, Salerno, Italy.

Mario Centore (M)

Dipartimento di Medicina, Chirurgia e Odontoiatria, Università di Salerno, Baronissi, Salerno, Italy.

Matteo Schettino (M)

Department of Internal Medicine (Di.M.I.), University of Genoa, Genoa, Italy.

Edoardo Bertero (E)

Department of Internal Medicine (Di.M.I.), University of Genoa, Genoa, Italy.

Giorgio Caretta (G)

S.C. Cardiologia, Ospedale Sant'Andrea, ASL5 Liguria, La Spezia, Italy.

Marco Rezzaghi (M)

S.C. Cardiologia, Ospedale Sant'Andrea, ASL5 Liguria, La Spezia, Italy.

Francesco Veneziano (F)

Policlinico Universitario Tor Vergata, Roma, Italy.

Davide De Nardo (D)

Policlinico Universitario Tor Vergata, Roma, Italy.

Gennaro De Rosa (G)

Dipartimento di Scienze Biomediche Avanzate, Università di Napoli "Federico II", Italy.

Leonardo De Luca (L)

Dip. Scienze Cardio-Toraco-Vascolari, UO Cardiologia, San Camillo-Forlanini, Roma, Italy.

Gennaro Galasso (G)

Dipartimento di Medicina, Chirurgia e Odontoiatria, Università di Salerno, Baronissi, Salerno, Italy.

Alberto Menozzi (A)

S.C. Cardiologia, Ospedale Sant'Andrea, ASL5 Liguria, La Spezia, Italy.

Giuseppe Musumeci (G)

Dipartimento di Cardiologia, A.O. Ordine Mauriziano, Ospedale Umberto I, Turin, Italy.

Plinio Cirillo (P)

Dipartimento di Scienze Biomediche Avanzate, Università di Napoli "Federico II", Italy.

Paolo Calabrò (P)

Department of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", Caserta, Italy; Division of Clinical Cardiology, Azienda Ospedaliera di Rilievo Nazionale "Sant'Anna e San Sebastiano", Caserta, Italy.

Italo Porto (I)

Department of Internal Medicine (Di.M.I.), University of Genoa, Genoa, Italy; Cardiovascular Disease Unit, IRCCS Ospedale Policlinico San Martino, IRCCS Italian Cardiology Network, Genova, Italy. Electronic address: italo.porto@unige.it.

Classifications MeSH