Quality of life trajectories during the first three years after diagnosis of breast cancer: the NEON-BC study.


Journal

Journal of public health (Oxford, England)
ISSN: 1741-3850
Titre abrégé: J Public Health (Oxf)
Pays: England
ID NLM: 101188638

Informations de publication

Date de publication:
22 09 2021
Historique:
pubmed: 29 12 2019
medline: 25 2 2023
entrez: 29 12 2019
Statut: ppublish

Résumé

We aimed to identify and characterize quality of life trajectories up to 3 years after breast cancer diagnosis. A total of 460 patients were evaluated at baseline (before treatments), and after 1- and 3-years. Patient-reported outcomes, including quality of life (European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30, QLQ-C30), anxiety, depression and sleep quality, were assessed in all evaluations. Model-based clustering was used to identify quality of life trajectories. We identified four trajectories without intersection during 3 years. The two trajectories characterized by better quality of life depicted relatively stable scores; in the other trajectories, quality of life worsened until 1 year, though in one of them the score at 3 years improved. Sociodemographic and clinical characteristics at baseline did not differ between trajectories, except for mastectomy, which was higher in the worst trajectory. Anxiety, depression and poor sleep quality increased from the best to the worst trajectory. The type of surgery and the variation of other patient-reported outcomes were associated with the course of quality of life over 3 years. More research to understand the heterogeneity of individual trajectories within these major patterns of variation is needed.

Sections du résumé

BACKGROUND
We aimed to identify and characterize quality of life trajectories up to 3 years after breast cancer diagnosis.
METHODS
A total of 460 patients were evaluated at baseline (before treatments), and after 1- and 3-years. Patient-reported outcomes, including quality of life (European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30, QLQ-C30), anxiety, depression and sleep quality, were assessed in all evaluations. Model-based clustering was used to identify quality of life trajectories.
RESULTS
We identified four trajectories without intersection during 3 years. The two trajectories characterized by better quality of life depicted relatively stable scores; in the other trajectories, quality of life worsened until 1 year, though in one of them the score at 3 years improved. Sociodemographic and clinical characteristics at baseline did not differ between trajectories, except for mastectomy, which was higher in the worst trajectory. Anxiety, depression and poor sleep quality increased from the best to the worst trajectory.
CONCLUSIONS
The type of surgery and the variation of other patient-reported outcomes were associated with the course of quality of life over 3 years. More research to understand the heterogeneity of individual trajectories within these major patterns of variation is needed.

Identifiants

pubmed: 31883015
pii: 5688175
doi: 10.1093/pubmed/fdz159
doi:

Substances chimiques

Neon 4VB4Y46AHD

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

521-531

Subventions

Organisme : FEDER
Organisme : Operational Programme Competitiveness and Internationalization and national
Organisme : Foundation for Science and Technology
ID : POCI-01-0145-FEDER-016867
Organisme : Unidade de Investigação em Epidemiologia-Instituto de Saúde Pública da Universidade do Porto
ID : POCI-01-0145-FEDER-006862
Organisme : NEON-PC - Neuro-oncological complications of prostate cancer: longitudinal study of cognitive decline
ID : POCI01-0145-FEDER-032358
Organisme : NA
ID : SFRH/BD/119390/2016
Organisme : FF
ID : SFRH/BD/92630/2013
Organisme : FCT
Organisme : Programa Operacional Capital Humano

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Luisa Lopes-Conceição (L)

EPIUnit-Instituto de Saúde Pública, Universidade do Porto, 4050-600 Porto, Portugal.
Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal.

Mariana Brandão (M)

EPIUnit-Instituto de Saúde Pública, Universidade do Porto, 4050-600 Porto, Portugal.
Academic Promoting Team, Institut Jules Bordet, 1000 Brussels, Belgium.

Natália Araújo (N)

EPIUnit-Instituto de Saúde Pública, Universidade do Porto, 4050-600 Porto, Portugal.
Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal.

Milton Severo (M)

EPIUnit-Instituto de Saúde Pública, Universidade do Porto, 4050-600 Porto, Portugal.
Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal.

Teresa Dias (T)

Instituto Português de Oncologia do Porto, Rua Dr. António Bernardino de Almeida, 4200-075 Porto, Portugal.

Bárbara Peleteiro (B)

EPIUnit-Instituto de Saúde Pública, Universidade do Porto, 4050-600 Porto, Portugal.
Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal.

Filipa Fontes (F)

EPIUnit-Instituto de Saúde Pública, Universidade do Porto, 4050-600 Porto, Portugal.
Instituto Português de Oncologia do Porto, Rua Dr. António Bernardino de Almeida, 4200-075 Porto, Portugal.

Susana Pereira (S)

EPIUnit-Instituto de Saúde Pública, Universidade do Porto, 4050-600 Porto, Portugal.
Instituto Português de Oncologia do Porto, Rua Dr. António Bernardino de Almeida, 4200-075 Porto, Portugal.

Nuno Lunet (N)

EPIUnit-Instituto de Saúde Pública, Universidade do Porto, 4050-600 Porto, Portugal.
Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal.

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Classifications MeSH