Abbonarsi

Balance of benefit and risk of ticagrelor in patients with diabetes and stable coronary artery disease according to bleeding risk assessment with the CRUSADE score: Data from THEMIS and THEMIS PCI - 23/05/22

Doi : 10.1016/j.ahj.2022.03.008 
Gregory Ducrocq, MD, PhD a, Deepak L. Bhatt, MD, MPH b, Jane J. Lee, PhD c, Naishu Kui, MS c, Kim M. Fox, MD d, Robert A. Harrington, MD e, Lawrence A. Leiter, MD f, Shamir R. Mehta, MD g, Róbert Gábor Kiss, MD h, Stefan James, MD, PhD i, Dragos Vinereanu, MD, PhD j, Kurt Huber, MD k, Marielle Andersson, MSc l, Anders Himmelmann, MD, PhD l, Tabassome Simon, MD, PhD m, Ph. Gabriel Steg, MD a, d,
a Université de Paris, AP-HP, French Alliance for Cardiovascular Trials (FACT), INSERM U1148, Paris, France 
b Brigham and Women's Hospital Heart & Vascular Center and Harvard Medical School, Boston, MA 
c Baim Institute for Clinical Research, Boston, MA 
d Imperial College, Royal Brompton Hospital, London, UK 
e Stanford Center for Clinical Research, Department of Medicine, Stanford University, Stanford, CA 
f Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, Canada 
g Population Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada 
h Magyar Honvédség Egészségügyi Központ, Budapest, Hungary 
i Uppsala University, Uppsala, Sweden 
j University of Medicine and Pharmacy Carol Davila, University and Emergency Hospital, Bucharest, Romania 
k 3rd Department of Medicine, Cardiology and Intensive Care Medicine, Wilhelminenhospital and Sigmund Freud University, Medical Faculty, Vienna, Austria 
l AstraZeneca BioPharmaceuticals Research and Development, Gothenburg, Sweden 
m Sorbonne Université, APHP.SU, Department of Clinical Pharmacology and Clinical Research Platform of the East of Paris (URC-CRC-CRB), Hôpital St Antoine, FACT, Paris, France 

Reprint requests: Philippe Gabriel Steg, MD, Département de Cardiologie, AP-HP Hôpital Bichat, 46 Rue Henri Huchard, 75018, Paris, France.Département de CardiologieAP-HP Hôpital Bichat46 Rue Henri HuchardParis75018France

Riassunto

Background

The THEMIS trial demonstrated that in high-risk patients with stable coronary artery disease and diabetes without previous myocardial infarction or stroke, ticagrelor, in addition to aspirin, reduced the incidence of ischemic events but increased major bleeding. Identification of patients who could derive the greatest net benefit from the addition of ticagrelor appears important. We used the CRUSADE bleeding risk score to risk stratify the THEMIS population.

Methods

The population was divided into tertiles: score ≤22, 23 to 33, and ≥34. In each tertile, primary efficacy (composite of cardiovascular death, myocardial infarction, or stroke) and safety (TIMI major bleeding) outcomes were analyzed. NACE (net adverse clinical events) was defined as the irreversible harm composite, in which all-cause death, myocardial infarction, stroke, amputations, fatal bleeds, and intracranial hemorrhage were counted.

Results

Patients in the lower risk tertile experienced fewer ischemic events with ticagrelor than placebo, whereas there was no significant benefit from ticagrelor in the other tertiles (Pinteraction = .008). Bleeding rates were consistently increased with ticagrelor across all tertiles (Pinteraction = .79). Ticagrelor reduced NACE in the first tertile (HR = 0.74, 95% CI = 0.61-0.90) but not in the others (HR = 1.03, 95% CI = 0.86-1.23 and HR = 1.05, 95% CI = 0.91-1.22, respectively; Pinteraction = .012).

Conclusions

In patients with stable coronary artery disease and diabetes without a history of myocardial infarction or stroke, only those at the lower end of the bleeding risk spectrum according to the CRUSADE score derived net benefit from ticagrelor.

Il testo completo di questo articolo è disponibile in PDF.

Mappa


© 2022  Elsevier Inc. Tutti i diritti riservati.
Aggiungere alla mia biblioteca Togliere dalla mia biblioteca Stampare
Esportazione

    Citazioni Export

  • File

  • Contenuto

Vol 249

P. 23-33 - Luglio 2022 Ritorno al numero
Articolo precedente Articolo precedente
  • Variation in statin prescription among veterans with HIV and known atherosclerotic cardiovascular disease
  • Sebhat Erqou, Alexa Papaila, Christopher Halladay, Augustus Ge, Michael A. Liu, Lan Jiang, Michelle Lally, Anupama Menon, Nishant R. Shah, Edward Miech, Salim S. Virani, Andrew R. Zullo, Theresa I. Shireman, Christopher T. Longenecker, David Ross, Jennifer L. Sullivan, Wen-Chih Wu, James L. Rudolph
| Articolo seguente Articolo seguente
  • Preexisting frailty and outcomes in older patients with acute myocardial infarction
  • Jacob A. Udell, Di Lu, Akshay Bagai, John A. Dodson, Nihar R. Desai, Gregg C. Fonarow, Abhinav Goyal, Kirk N. Garratt, Joseph Lucas, William S. Weintraub, Daniel E. Forman, Matthew T. Roe, Karen P. Alexander

Benvenuto su EM|consulte, il riferimento dei professionisti della salute.
L'accesso al testo integrale di questo articolo richiede un abbonamento.

Già abbonato a @@106933@@ rivista ?

Il mio account


Dichiarazione CNIL

EM-CONSULTE.COM è registrato presso la CNIL, dichiarazione n. 1286925.

Ai sensi della legge n. 78-17 del 6 gennaio 1978 sull'informatica, sui file e sulle libertà, Lei puo' esercitare i diritti di opposizione (art.26 della legge), di accesso (art.34 a 38 Legge), e di rettifica (art.36 della legge) per i dati che La riguardano. Lei puo' cosi chiedere che siano rettificati, compeltati, chiariti, aggiornati o cancellati i suoi dati personali inesati, incompleti, equivoci, obsoleti o la cui raccolta o di uso o di conservazione sono vietati.
Le informazioni relative ai visitatori del nostro sito, compresa la loro identità, sono confidenziali.
Il responsabile del sito si impegna sull'onore a rispettare le condizioni legali di confidenzialità applicabili in Francia e a non divulgare tali informazioni a terzi.


Tutto il contenuto di questo sito: Copyright © 2025 Elsevier, i suoi licenziatari e contributori. Tutti i diritti sono riservati. Inclusi diritti per estrazione di testo e di dati, addestramento dell’intelligenza artificiale, e tecnologie simili. Per tutto il contenuto ‘open access’ sono applicati i termini della licenza Creative Commons.