Direct comparison of predictive performance of PRECISE-DAPT versus PARIS versus CREDO-Kyoto: a subanalysis of the ReCre8 trial.

Bleeding Coronary artery disease Percutaneous coronary intervention Risk stratification Thrombosis

Journal

Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation
ISSN: 1568-5888
Titre abrégé: Neth Heart J
Pays: Netherlands
ID NLM: 101095458

Informations de publication

Date de publication:
Apr 2021
Historique:
pubmed: 22 9 2020
medline: 22 9 2020
entrez: 21 9 2020
Statut: ppublish

Résumé

Multiple scores have been proposed to guide risk stratification after percutaneous coronary intervention. This study assessed the performance of the PRECISE-DAPT, PARIS and CREDO-Kyoto risk scores to predict post-discharge ischaemic or bleeding events. A total of 1491 patients treated with latest-generation drug-eluting stent implantation were evaluated. Risk scores for post-discharge ischaemic or bleeding events were calculated and directly compared. Prognostic performance of both risk scores was assessed with calibration, Harrell's c‑statistics net reclassification index and decision curve analyses. Post-discharge ischaemic events occurred in 56 patients (3.8%) and post-discharge bleeding events in 34 patients (2.3%) within the first year after the invasive procedure. C‑statistics for the PARIS ischaemic risk score was marginal (0.59, 95% confidence interval (CI) 0.51-0.68), whereas the CREDO-Kyoto ischaemic risk score was moderate (0.68, 95% CI 0.60-0.75). With regard to post-discharge bleeding events, CREDO-Kyoto displayed moderate discrimination (c-statistic 0.67, 95% CI 0.56-0.77), whereas PRECISE-DAPT (0.59, 95% CI 0.48-0.69) and PARIS (0.55, 95% CI 0.44-0.65) had a marginal discriminative capacity. Net reclassification index and decision curve analysis favoured CREDO-Kyoto-derived bleeding risk assessment. In this contemporary all-comer population, PARIS and PRECISE-DAPT risk scores were not resilient to independent testing for post-discharge bleeding events. CREDO-Kyoto-derived risk stratification was associated with a moderate predictive capability for post-discharge ischaemic or bleeding events. Future studies are warranted to improve risk stratification with more focus on robustness and rigorous testing.

Sections du résumé

BACKGROUND BACKGROUND
Multiple scores have been proposed to guide risk stratification after percutaneous coronary intervention. This study assessed the performance of the PRECISE-DAPT, PARIS and CREDO-Kyoto risk scores to predict post-discharge ischaemic or bleeding events.
METHODS METHODS
A total of 1491 patients treated with latest-generation drug-eluting stent implantation were evaluated. Risk scores for post-discharge ischaemic or bleeding events were calculated and directly compared. Prognostic performance of both risk scores was assessed with calibration, Harrell's c‑statistics net reclassification index and decision curve analyses.
RESULTS RESULTS
Post-discharge ischaemic events occurred in 56 patients (3.8%) and post-discharge bleeding events in 34 patients (2.3%) within the first year after the invasive procedure. C‑statistics for the PARIS ischaemic risk score was marginal (0.59, 95% confidence interval (CI) 0.51-0.68), whereas the CREDO-Kyoto ischaemic risk score was moderate (0.68, 95% CI 0.60-0.75). With regard to post-discharge bleeding events, CREDO-Kyoto displayed moderate discrimination (c-statistic 0.67, 95% CI 0.56-0.77), whereas PRECISE-DAPT (0.59, 95% CI 0.48-0.69) and PARIS (0.55, 95% CI 0.44-0.65) had a marginal discriminative capacity. Net reclassification index and decision curve analysis favoured CREDO-Kyoto-derived bleeding risk assessment.
CONCLUSION CONCLUSIONS
In this contemporary all-comer population, PARIS and PRECISE-DAPT risk scores were not resilient to independent testing for post-discharge bleeding events. CREDO-Kyoto-derived risk stratification was associated with a moderate predictive capability for post-discharge ischaemic or bleeding events. Future studies are warranted to improve risk stratification with more focus on robustness and rigorous testing.

Identifiants

pubmed: 32955703
doi: 10.1007/s12471-020-01486-y
pii: 10.1007/s12471-020-01486-y
pmc: PMC7991032
doi:

Types de publication

Journal Article

Langues

eng

Pagination

201-214

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Auteurs

R Rozemeijer (R)

Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands. r.rozemeijer@umcutrecht.nl.

W P van Bezouwen (WP)

Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.

N D van Hemert (ND)

Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.

J A Damen (JA)

Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.

S Koudstaal (S)

Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Farr Institute of Health Informatics, University College London, London, UK.

M Stein (M)

Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Department of Cardiology, Zuyderland Medical Center, Heerlen, The Netherlands.

G E Leenders (GE)

Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.

L Timmers (L)

Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
St. Antonius Hospital, Nieuwegein, The Netherlands.

A O Kraaijeveld (AO)

Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.

K Roes (K)

Department of Biostatistics and Research Support, University Medical Center Utrecht, Utrecht, The Netherlands.

P Agostoni (P)

Department of Cardiology, Hartcentrum, Ziekenhuis Netwerk Antwerpen Middelheim, Antwerp, Belgium.

P A Doevendans (PA)

Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Netherlands Heart Institute, Utrecht, The Netherlands.
Central Military Hospital, Utrecht, The Netherlands.

P R Stella (PR)

Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.

M Voskuil (M)

Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.

Classifications MeSH