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Enregistrement W3096113081 · doi:10.1182/blood-2020-136454

Cardiac Morbidity in Adolescents and Young Adult Survivors of Hodgkin Lymphoma

2020· article· en· W3096113081 sur OpenAlexaffabout
Kristin C. Marr, Jonathan Simkin, Andrea Lo, Joseph M. Connors, Alina S. Gerrie, Diego Villa, Ciara L. Freeman, David W. Scott, Greg Hapgood, Laurie H. Sehn, Ryan Woods, Kerry J. Savage

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueChemotherapy-induced cardiotoxicity and mitigation
Établissements canadiensSimon Fraser UniversityBC Children's HospitalSpinal Cord Injury BCUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésABVDMedicineDacarbazinePopulationInternal medicineCancer registryCancerVinblastinePediatricsCohortDiseaseIncidence (geometry)SurgeryChemotherapyVincristineCyclophosphamide

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION Adolescents and young adult (AYA) survivors of Hodgkin lymphoma (HL) are potentially at increased risk of cardiovascular (CV) disease due to anthracycline exposure, in addition to use of mediastinal radiotherapy (RT). Although the risk has been well described in the pediatric age-group, the impact in the AYA population has been less well characterized. Capturing the incidence of these late effects is challenging given that events can occur more than a decade after therapy completion. Using population-based administrative data, we evaluated the incidence of CV disease (combined heart failure (HF) and ischemic heart disease (IHD)) in a cohort of AYA survivors treated for classical HL (cHL) using ABVD (doxorubicin, bleomycin, vinblastine, dacarbazine) or equivalent chemotherapy. METHODS Patients with cHL aged 16-39 years (y), diagnosed between 1992-2013 and treated with an ABVD or equivalent therapy, were identified in the BC Cancer Lymphoid Cancer Database. Patients must have survived to an Index Date defined as 2 y from most recent HL event (primary diagnosis or if applicable, most recent relapse) and have had a minimum follow-up of 1 y beyond their Index Date. Patients were excluded if they had history of prior malignancy or HIV positivity. Limited stage disease was defined as stage IA, IB or IIA and absence of bulky disease (≥10cm); all others had advanced stage disease. Cases were linked with population-based databases of BC Cancer Registry; BC Radiation Oncology Database; and BC Ministry of Health (MOH) Chronic Disease Registry (CDR) that captures all BC residents registered with medical service plan coverage during the study period. The outcome variables, including HF and IHD, were defined by the BC MOH CDR using Standardized Case Definitions. To focus on late onset CV complications, only events that occurred after the Index Date were included in the analysis. A 10:1 individually-matched control population was identified from the CDR based on age, sex, and health authority region on the Index Date of the matched case. Controls were excluded if they had a pre-existing malignancy, HF, or IHD prior to the study window. Individual outcomes were collected from the Index Date of the matched case until December 31, 2015 or until an individual was censored due to loss to follow-up or death. Kaplan Meier (K-M) methodology and log-rank test was used to estimate cumulative incidence. A competing risk regression analysis was used to evaluate relative risk (RR) and p-values less than 0.05 were considered significant. RESULTS With a median follow-up time of 11 y (range 3-24 y) from most recent HL event, 764 AYA 2-y survivors were identified, aged 20 to 61 y (median 38 y) at the end of study period. The proportion of limited and advanced stage disease was 34.2% and 65.6%, respectively; and 49.9% were male. Eighty-eight patients (11.5%) had relapsed disease; eighty-six (11.3%) underwent high dose chemotherapy and autologous stem cell transplantation as part of their salvage therapy. In total, 268 patients (36.4%) were treated with mediastinal RT for primary therapy or for relapsed disease. Fifty-three percent received cumulative anthracycline dose ≥300 mg/m2. Survivors had a 3-fold increased risk of CV disease relative to controls (p<0.0001). The onset of CV disease in survivors occurred at median of 11.7 y after most recent treatment (range 2.2-19.2 y), and at a median age of 44.3 y (range 21 - 58 y). At 15 y, the estimated cumulative incidence of CV disease was 6.3% in survivors compared to 2.3% in controls (Figure A). In the 496 survivors that received chemotherapy only, the incidence of CV disease at 15 y was 4.6% vs 2.3% in controls, and those that received anthracyclines and mediastinal RT had significantly higher incidence at 8.6% (Figure B). The increase in risk was greatest for a diagnosis of HF (RR 6.92, p<0.0001): at 15 y, the cumulative incidence of HF was 2.2% vs 0.6% in controls. The RR of IHD was 2.63 (p<0.0001) with incidence of 5.1% in cases compared to 1.8% in controls. CONCLUSION Similar to the pediatric population, AYA cHL survivors are at increased risk of both HF and IHD after completion of treatment. The majority of patients had received ABVD alone and had a lower incidence of CV disease at 15 y when compared to those that received treatment that included mediastinal RT. These results will inform counseling regarding risk factor modification and aid in the development of surveillance guidelines for AYA survivors. Disclosures Gerrie: Sandoz: Consultancy; Roche: Research Funding; Janssen: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria, Research Funding; Astrazeneca: Consultancy, Research Funding. Villa:Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Roche: Consultancy, Honoraria, Research Funding; AZ: Consultancy, Honoraria, Research Funding; Kite/Gilead: Consultancy, Honoraria; Nano String: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Sandoz Canada: Consultancy, Honoraria; Immunovaccine: Consultancy, Honoraria; Purdue Pharma: Consultancy, Honoraria. Scott:NIH: Consultancy, Other: Co-inventor on a patent related to the MCL35 assay filed at the National Institutes of Health, United States of America.; Roche/Genentech: Research Funding; Celgene: Consultancy; NanoString: Patents & Royalties: Named inventor on a patent licensed to NanoString, Research Funding; Abbvie: Consultancy; AstraZeneca: Consultancy; Janssen: Consultancy, Research Funding. Sehn:AstraZeneca: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Kite: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Genentech, Inc.: Consultancy, Honoraria, Research Funding; Acerta: Consultancy, Honoraria; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Research Funding; MorphoSys: Consultancy, Honoraria; Merck: Consultancy, Honoraria; Lundbeck: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Teva: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria; Servier: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; Apobiologix: Consultancy, Honoraria; Verastem Oncology: Consultancy, Honoraria; TG therapeutics: Consultancy, Honoraria; Chugai: Consultancy, Honoraria. Savage:BeiGene: Other: Steering Committee; Roche (institutional): Research Funding; Merck, BMS, Seattle Genetics, Gilead, AstraZeneca, AbbVie, Servier: Consultancy; Merck, BMS, Seattle Genetics, Gilead, AstraZeneca, AbbVie: Honoraria.

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)0,000
score de la tête « metaresearch » (Gemma)0,001
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 enseignants0,008
Score d'incertitude au seuil0,015

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
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 Opus0,014
Tête enseignante GPT0,235
Écart entre enseignants0,221 · 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

Citations1
Publié2020
Routes d'admission2
Résumé présentoui

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