Assessing the applicability and outcomes of the COMPASS trial a large cohort of atherosclerotic disease patients
Notice bibliographique
Résumé
Abstract Background Atherosclerotic Cardiovascular disease (ASCVD) is the leading cause of morbidity and mortality worldwide with substantial impact on health care resources. Rivaroxaban 2.5 mg twice daily with low dose ASA reduced death, myocardial infarction and stroke compared to ASA alone in stable ASCVD patients studied in the COMPASS trial. Purpose To assess the applicability and potential outcomes of applying the COMPASS antithrombotic strategy in a population-based cohort of patients with ASCVD. Methods All patients with a new diagnosis of ASCVD identified during hospital admission or outpatient medical encounters using validated case definitions from 2008–2019 were included. We determined the proportion who met COMPASS eligibility criteria (Eligible), the proportion who met inclusion criteria but had exclusion criteria (Excluded), and the proportion who did not meet inclusion criteria (Ineligible). Primary outcomes of interest were CV death, myocardial infarction, and stroke (MACE), with secondary outcomes all cause death, CV hospitalization, PAD intervention, amputation, and all bleeding which were followed to end of study. Results Of 226,446 new ASCVD patients in the 11 years studied, 73% had coronary artery disease, 17% had peripheral artery disease including cerebral and peripheral vascular disease (PAD), and 10% had both. Of the 364,442 prevalent cases, 27% met COMPASS eligibility criteria, another 42% met inclusion criteria but would have been excluded and 31% were Ineligible. The main reasons for exclusion were high bleeding risk characteristics in 69% and concomitant medical therapy (CYP3A4 inducers 30%, oral anticoagulants 28%, and dual antiplatelet therapy 7%). The MACE event rates were approximately twice as high in the excluded group as those deemed COMPASS eligible (figures 1). COMPASS eligible patients in our cohort exhibited event rates similar to the ASA arm of COMPASS (figure 2). The other event rates per 100 person-years for Eligible, Excluded, and Ineligible patients respectively were: all-cause death 4.6, 10.6, 1.2,; CV hospitalization 4.8, 8.8, 3.0; PAD intervention 0.6, 0.6, 0.1; and all bleeding 1.9, 4.3, 1.1. If the COMPASS antithrombotic strategy of Rivaroxaban 2.5 twice daily with low dose ASA was given to patients deemed eligible in this population, there would have been a potential reduction of 87 MACE events, 34 CV death, 25 MI, 24 stroke, and 12 amputations per 10,000 patient years of treatment. Conclusion In a population of 4.4 million persons, there are approximately 20,000 incident ASCVD patients diagnosed yearly. Approximately 70% of patients with ASCVD in the real-world met COMPASS inclusion criteria, although more than half would be excluded due to high-bleed risk characteristics or concomitant medical therapy. Implementing the COMPASS antithrombotic strategy would result in substantial reduction in CV death and MACE events. Funding Acknowledgement Type of funding sources: Private company. Main funding source(s): Bayer MACE by COMPASS eligibilityEvent rates compared to COMPASS ASA
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,012 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».