Literature DB >> 30347337

Intensive treatment and trial participation in elderly acute myeloid leukemia patients: A population-based analysis in The Netherlands.

Burak Kalin1, Esther N Pijnappel2, Michel van Gelder2, Otto Visser3, Arjan A van de Loosdrecht4, Gert J Ossenkoppele4, Jan J Cornelissen1, Avinash G Dinmohamed5, Mojca Jongen-Lavrencic6.   

Abstract

BACKGROUND: The paucity of population-based research indicates that the application of intensive chemotherapy (ICT) among elderly acute myeloid leukemia (AML) patients, as well as their accrual to randomized controlled trials (RCTs) remains low for several decades. Therefore, a contemporary, comprehensive apprehension on patient-, disease-, and treatment-specific characteristics of elderly AML patients at the population level can inform treatment choices and facilitate increased patient accrual in upcoming RCTs.
OBJECTIVES: In this population-based study, we investigated patient- and disease-specific characteristics in elderly AML patients, and their association with treatment and survival.
METHODS: We retrospectively obtained data on all over 65-year-old AML patients diagnosed between 2010-2013 in the referral area of two university hospitals in the Netherlands. Multivariable analyses were performed to assess factors associated with treatment choice and overall survival.
RESULTS: Of all 356 patients, 77% received non-intensive therapy (NIT), and 15% and 8% received ICT within and outside a RCT, respectively. Cytogenetic (74%) and molecular (93%) analyses were not performed in most NIT recipients. Age and comorbidity were independently associated with NIT, whereas only comorbidity was associated with decreased trial participation. The adjusted risk of mortality among ICT recipients was not influenced by trial participation status.
CONCLUSION: The application of ICT and accrual to RCTs remains staggeringly low in an elderly AML population. Since survival of ICT-treated patients was not affected by trial participation status, exclusion criteria might be relaxed in upcoming RCTs. Furthermore, appropriate management strategies can be accomplished by comprehensive comorbidity assessment and augmented genetic prognostication.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Acute myeloid leukemia; Clinical trials; Comorbidity; Epidemiology; Prognostication; Therapy

Mesh:

Substances:

Year:  2018        PMID: 30347337     DOI: 10.1016/j.canep.2018.09.007

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  4 in total

1.  Decitabine induction with myeloablative conditioning and allogeneic hematopoietic stem cell transplantation in high-risk patients with myeloid malignancies is associated with a high rate of infectious complications.

Authors:  Christopher R D'Angelo; Aric Hall; Kaitlin M Woo; KyungMann Kim; Walter Longo; Peiman Hematti; Natalie Callander; Vaishalee P Kenkre; Ryan Mattison; Mark Juckett
Journal:  Leuk Res       Date:  2020-07-08       Impact factor: 3.156

Review 2.  Impact of age, functional status, and comorbidities on quality of life and outcomes in elderly patients with AML: review.

Authors:  Kamel Laribi; Mohamad Sobh; David Ghez; Alix Baugier de Materre
Journal:  Ann Hematol       Date:  2021-04-02       Impact factor: 3.673

3.  Survival of Older Adults With Newly Diagnosed Acute Myeloid Leukemia: Effect of Using Multiagent Versus Single-agent Chemotherapy.

Authors:  Vijaya R Bhatt; Valerie Shostrom; Sarah A Holstein; Zaid S Al-Kadhimi; Lori J Maness; Ann Berger; James O Armitage; Krishna Gundabolu
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2020-02-04

4.  Evolving treatment patterns and outcomes in older patients (≥60 years) with AML: changing everything to change nothing?

Authors:  David Martínez-Cuadrón; Josefina Serrano; Cristina Gil; Mar Tormo; Pilar Martínez-Sánchez; José A Pérez-Simón; Raimundo García-Boyero; Carlos Rodríguez-Medina; María López-Pavía; Celina Benavente; Juan Bergua; Esperanza Lavilla-Rubira; María L Amigo; Pilar Herrera; Juan M Alonso-Domínguez; Teresa Bernal; Mercedes Colorado; María J Sayas; Lorenzo Algarra; María B Vidriales; Gabriela Rodríguez-Macías; Susana Vives; Manuel M Pérez-Encinas; Aurelio López; Víctor Noriega; María García-Fortes; Fernando Ramos; Juan I Rodríguez-Gutiérrez; Lisette Costilla-Barriga; Jorge Labrador; Blanca Boluda; Rebeca Rodríguez-Veiga; Joaquín Martínez-López; Miguel A Sanz; Pau Montesinos
Journal:  Leukemia       Date:  2020-10-19       Impact factor: 11.528

  4 in total

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