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

Cardiac Morbidity in Adolescents and Young Adult Survivors of Hodgkin Lymphoma

2020· article· en· W3096113081 on 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

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldMedicine
TopicChemotherapy-induced cardiotoxicity and mitigation
Canadian institutionsSimon Fraser UniversityBC Children's HospitalSpinal Cord Injury BCUniversity of British Columbia
Fundersnot available
KeywordsABVDMedicineDacarbazinePopulationInternal medicineCancer registryCancerVinblastinePediatricsCohortDiseaseIncidence (geometry)SurgeryChemotherapyVincristineCyclophosphamide

Abstract

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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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.235
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2020
Admission routes2
Has abstractyes

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