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Enregistrement W4405049187 · doi:10.1182/blood-2024-211439

Real-World Experience of Asciminib Treatment and Its Clinical Outcomes Including Cardiovascular (CV) Event-Free, Failure-Free Survival Associated with CV Comorbidity and Framingham CV Risk Score in Patients with Chronic Myeloid Leukemia

2024· article· en· W4405049187 sur OpenAlexaff
Mohammad Alwadi, May Chiu, Gopila Gupta, María Agustina Perusini, Dong Hwan Kim

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensPrincess Margaret Cancer CentreUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicineFramingham Risk ScoreTolerabilityNilotinibBlood pressureMyocardial infarctionHazard ratioCoronary artery diseaseMyeloid leukemiaDiseaseAdverse effectImatinibConfidence interval

Résumé

récupéré en direct d'OpenAlex

Introduction Tyrosine kinase inhibitors (TKIs) have revolutionized the treatment landscape for chronic myeloid leukemia (CML). However, a significant limitation of long-term TKI use comes mainly from the risk of cardiovascular (CV) events (CVEs) mainly related to 2nd generation TKI (2G-TKI). Asciminib (ASC), a novel TKI with a distinctive mechanism of action targeting the ABL myristoyl pocket, has shown superior efficacy and excellent tolerability in clinical trials. A real-world data suggest that ASC may not elevate the risk of CVEs (Khadadah, 2023), even in patients (pts) with pre-existing CV risk factors or a history of CVEs such as myocardial infarction (MI), coronary artery disease (CAD), or stroke. The analysis considering the CV risk factors would help to clarify the implication of ASC on CVE risk. The present study attempted to assess the CV risk profiles of the pts, including their baseline Framingham Risk Scores (FRS), and to analyze its effect on the risk of CVEs during ASC treatment. Patients and method A total of 54 CML pts who were treated with ASC were reviewed retrospectively. ASC was started at 40mg twice daily or 80mg once daily in the case of non-T315I mutated CML (n=50) and at a higher dose for T315I mutated CML pts (n=4). Prior to ASC's start, the CV risk profile was captured, including past history of CVE, lipid profile, blood pressure, HbA1c level, body mass index, creatinine and GFR, and smoking/alcohol history. The pts were monitored for vital signs and blood work, including blood sugar, every visit. The CVE was captured prospectively during their clinic follow-up. The CVEs were defined as 1) acute coronary syndrome and hospitalization for unstable angina; 2) myocardial infarction; 3) angina pectoris or coronary artery disease (CAD) confirmed by angiography or the need for revascularization; 4) heart failure event; 5) symptomatic peripheral arterial occlusive disease proved anatomically or stroke; and 6) death related to CV or cerebrovascular accident. CVE-free, event free survival (CVEFS) was defined from ASC start date to the date of CVE episode, discontinuation of ASC due to intolerance, failure by ELN2020 criteria or death of any cause. Incidence of CVE was calculated considering competing events including discontinuation of ASC due to intolerance, failure by ELN2020 criteria or death of any cause. Result Out of overall 54 pts, 31 (57%) pts were male with a median age of 62. Thirty-six (66%) pts had Hypertension; 11(20%), diabetes mellitus (DM); 31 (57%), dyslipidemia; 16 (30%), history of smoking, 23 (44%), obesity; and 19 (35 %) had a previous history of CV or cerebrovascular events. According to the baseline FRS, the pts were divided into low (n=11, 26%), moderate (n=10, 20%) or high FRS group (n=27, 54%). The median follow-up duration was 18 months, with a total of 85 person-year exposure to ASC. ASC was used as a third-line therapy in 30 patients (56%), as a fourth-line or later therapy in 18 patients (33%), and as an early-line therapy in 6 patients (11%). The reason for using ASC was intolerance to the previous line of therapy (n=35, 65%), followed by treatment failure (n=11, 20%) or others (n=9, 15%). The proportion of pts who achieved MR2, MR3 and MR4 at last follow-up was 84.3% (n=43/51), 66.7% (n=34/51), 35.3% (n=18/51), respectively. The failure-free survival rate was 80.5% (61.2-90.9%), while the OS rate of 93.5% (75.9-98.4%) at 18 months. During the follow-up of ASC treatment, we observed only 1 patient with a CVE who experienced stroke and stopped ASC therapy after this event. Accordingly, the incidence of CVE was calculated as 2.4% at 18 months (0.2-11.2%). Out of 85 person-years of ASC exposure, 1 CVE case was observed, thus resulting in 1.17 CVE per 100 person-year. Four patients died during the treatment, 2 (50%) were related to disease progression and 2 (50%) due to other malignancy progression, no case related to ASC toxicity observed. The 18 months' CVEFS rate was 70.7% (52.7-82.9%) and there is no association of CVEFS with the FRS group (p=0.382). We have analyzed the risk factors for CVEFS including the clinical factors for CV comorbidity and FRS. The only clinical factor identified to be significant was presence of DM (HR, 3.589 [1.112, 11.59], p=0.03). Conclusion Based on the present real-world experience study, ASC can be used safely without any alarming signals for increased risk of CVE, and can provide comparable treatment outcomes regardless of CV comorbidities risk based on the FRS.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,033
Tête enseignante GPT0,300
Écart entre enseignants0,267 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2024
Routes d'admission1
Résumé présentoui

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