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Erschienen in: Supportive Care in Cancer 1/2022

07.07.2021 | Original Article

Correlates of fatigue severity in patients with chronic myeloid leukemia treated with targeted therapy

verfasst von: Laura B. Oswald, Kelly A. Hyland, Sarah L. Eisel, Aasha I. Hoogland, Hans Knoop, Ashley M. Nelson, Javier Pinilla-Ibarz, Kendra Sweet, Paul B. Jacobsen, Heather S. L. Jim

Erschienen in: Supportive Care in Cancer | Ausgabe 1/2022

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Abstract

Purpose

Tyrosine kinase inhibitors (TKIs) substantially improve survival for patients with chronic myeloid leukemia (CML), but fatigue associated with TKIs can negatively impact patients’ quality of life and adherence. This study sought to identify correlates of fatigue (e.g., sociodemographic characteristics, clinical characteristics, health behaviors) among patients with CML taking TKIs who reported moderate to severe fatigue.

Methods

Adults with CML experiencing at least moderate fatigue were recruited for a pilot trial of a cognitive behavioral intervention to improve fatigue. Data collected pre-intervention were used to explore concurrent correlates of fatigue in univariate and multivariable models.

Results

Participants (N = 44, 48% female) were M = 55.6 years old (SD = 12.6) and had been diagnosed with CML M = 5.2 years prior (SD = 5.3). Participants had been taking their current TKI for M = 2.5 years (SD = 2.7). Most participants (64%) had previously been treated with ≥ 1 other TKI. More than three-quarters of participants (77%) reported severe fatigue. In univariate models, worse fatigue was associated with higher BMI (r = -0.36, p = 0.018), prior treatment with other TKI(s) (r =  − 0.34, p = 0.024), worse sleep disturbance (r =  − 0.51, p < 0.001), and less physical activity (r = 0.31, p = 0.043). In a multivariable model, significant univariate correlates accounted for 39% of the variance in fatigue. Worse fatigue remained significantly correlated with higher BMI (β =  − 0.33, p = 0.009) and more disturbed sleep (β =  − 0.45, p < 0.001).

Conclusion

Results may inform future research aiming to identify fatigued patients with CML at risk for experiencing more severe fatigue during TKI therapy. Identifying predictors of fatigue severity could aid clinicians in identifying which patients will benefit from referrals to supportive therapy.
Trial registration: NCT02592447, October 30, 2015
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Metadaten
Titel
Correlates of fatigue severity in patients with chronic myeloid leukemia treated with targeted therapy
verfasst von
Laura B. Oswald
Kelly A. Hyland
Sarah L. Eisel
Aasha I. Hoogland
Hans Knoop
Ashley M. Nelson
Javier Pinilla-Ibarz
Kendra Sweet
Paul B. Jacobsen
Heather S. L. Jim
Publikationsdatum
07.07.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Supportive Care in Cancer / Ausgabe 1/2022
Print ISSN: 0941-4355
Elektronische ISSN: 1433-7339
DOI
https://doi.org/10.1007/s00520-021-06408-1

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