Development and Validation of Risk Prediction Models for Coronary Heart Disease and Heart Failure After Treatment for Hodgkin Lymphoma.


Journal

Journal of clinical oncology : official journal of the American Society of Clinical Oncology
ISSN: 1527-7755
Titre abrégé: J Clin Oncol
Pays: United States
ID NLM: 8309333

Informations de publication

Date de publication:
01 01 2023
Historique:
pubmed: 11 8 2022
medline: 27 12 2022
entrez: 10 8 2022
Statut: ppublish

Résumé

Previous efforts to predict absolute risk of treatment-related cardiovascular diseases (CVDs) have mostly focused on childhood cancer survivors. We aimed to develop prediction models for risk of coronary heart disease (CHD) and heart failure (HF) for survivors of adolescent/adult Hodgkin lymphoma (HL). For model development, we used a multicenter cohort including 1,433 5-year HL survivors treated between 1965 and 2000 and age 18-50 years at HL diagnosis, with complete data on administered chemotherapy regimens, radiotherapy volumes and doses, and cardiovascular follow-up. Using cause-specific hazard models, covariate-adjusted cumulative incidences for CHD and HF were estimated in the presence of competing risks of death because of other causes than CHD and HF. Age at HL diagnosis, sex, smoking status, radiotherapy, and anthracycline treatment were included as predictors. External validation for the CHD model was performed using a Canadian cohort of 708 HL survivors treated between 1988 and 2004 and age 18-50 years at HL diagnosis. After a median follow-up of 24 years, 341 survivors had developed CHD and 102 had HF. We were able to predict CHD and HF risk at 20 and 30 years after treatment with moderate to good overall calibration and moderate discrimination (areas under the curve: 0.68-0.74), which was confirmed by external validation for the CHD model (areas under the curve: 0.73-0.74). On the basis of our model including prescribed mediastinal radiation dose, 30-year risks ranged from 4% to 78% for CHD and 3% to 46% for HF, depending on risk factors. We developed and validated prediction models for CHD and HF with good overall calibration and moderate discrimination. These models can be used to identify HL survivors who might benefit from targeted screening for CVD and early treatment for CVD risk factors.

Identifiants

pubmed: 35947813
doi: 10.1200/JCO.21.02613
doi:

Types de publication

Multicenter Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

86-95

Auteurs

Simone de Vries (S)

Department of Epidemiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.

Miriam L Haaksma (ML)

Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands.

Katarzyna Jóźwiak (K)

Institute of Biostatistics and Registry Research, Brandenburg Medical School Theodor Fontane, Neuruppin, Germany.

Michael Schaapveld (M)

Department of Epidemiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.

David C Hodgson (DC)

Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, Canada.

Pieternella J Lugtenburg (PJ)

Department of Hematology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, the Netherlands.

Augustinus D G Krol (ADG)

Department of Radiation Oncology, Leiden University Medical Center, Leiden, the Netherlands.

Eefke J Petersen (EJ)

Department of Hematology, University Medical Center Utrecht, Utrecht, the Netherlands.

Dick Johan van Spronsen (DJ)

Department of Hematology, Radboud University Medical Center Nijmegen, Nijmegen, the Netherlands.

Sameera Ahmed (S)

Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, Canada.

Michael Hauptmann (M)

Institute of Biostatistics and Registry Research, Brandenburg Medical School Theodor Fontane, Neuruppin, Germany.

Berthe M P Aleman (BMP)

Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.

Flora E van Leeuwen (FE)

Department of Epidemiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.

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