Long-Term Longitudinal Patterns of Patient-Reported Fatigue After Breast Cancer: A Group-Based Trajectory Analysis - Sorbonne Université
Article Dans Une Revue Journal of Clinical Oncology Année : 2022

Long-Term Longitudinal Patterns of Patient-Reported Fatigue After Breast Cancer: A Group-Based Trajectory Analysis

Cecile Charles
  • Fonction : Auteur
Sibille Everhard
  • Fonction : Auteur
Anne-Laure Martin
  • Fonction : Auteur
Paul H. Cottu
  • Fonction : Auteur
Florence Lerebours
Sarah Dauchy
  • Fonction : Auteur
Nancy U. Lin
  • Fonction : Auteur
Patricia A. Ganz
  • Fonction : Auteur
Ann H. Partridge
  • Fonction : Auteur

Résumé

PURPOSE Fatigue is recognized as one of the most burdensome and long-lasting adverse effects of cancer and cancer treatment. We aimed to characterize long-term fatigue trajectories among breast cancer survivors. METHODS We performed a detailed longitudinal analysis of fatigue using a large ongoing national prospective clinical study (CANcer TOxicity, ClinicalTrials.gov identifier: NCT01993498 ) of patients with stage I-III breast cancer treated from 2012 to 2015. Fatigue was assessed at diagnosis and year 1, 2, and 4 postdiagnosis. Baseline clinical, sociodemographic, behavioral, tumor-related, and treatment-related characteristics were available. Trajectories of fatigue and risk factors of trajectory-group membership were identified by iterative estimates of group-based trajectory models. RESULTS Three trajectory groups were identified for severe global fatigue (n = 4,173). Twenty-one percent of patients were in the high-risk group, having risk estimates of severe global fatigue of 94.8% (95% CI, 86.6 to 100.0) at diagnosis and 64.6% (95% CI, 59.2 to 70.1) at year 4; 19% of patients clustered in the deteriorating group with risk estimates of severe global fatigue of 13.8% (95% CI, 6.7 to 20.9) at diagnosis and 64.5% (95% CI, 57.3 to 71.8) at year 4; 60% were in the low-risk group with risk estimates of 3.6% (95% CI, 2.5 to 4.7) at diagnosis and 9.6% (95% CI, 7.5 to 11.7) at year 4. The distinct dimensions of fatigue clustered in different trajectory groups than those identified by severe global fatigue, being differentially affected by sociodemographic, clinical, and treatment-related factors. CONCLUSION Our findings highlight the multidimensional nature of cancer-related fatigue and the complexity of its risk factors. This study helps to identify patients with increased risk of severe fatigue and to inform personalized interventions to ameliorate this problem.
Fichier principal
Vignette du fichier
qt88j3h9x7.pdf (548.65 Ko) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03871435 , version 1 (19-12-2023)

Identifiants

Citer

Ines Vaz-Luis, Antonio Di Meglio, Julie Havas, Mayssam El-Mouhebb, Pietro Lapidari, et al.. Long-Term Longitudinal Patterns of Patient-Reported Fatigue After Breast Cancer: A Group-Based Trajectory Analysis. Journal of Clinical Oncology, 2022, 40 (19), pp.2148--2162. ⟨10.1200/JCO.21.01958⟩. ⟨hal-03871435⟩
118 Consultations
14 Téléchargements

Altmetric

Partager

More