Could nutrition status predict fatigue one week before in patients with nasopharynx cancer undergoing radiotherapy?

Author:

Song Jihong12,Yang Xinru2,Wu Jieling2ORCID,Wu Zilan2,Zhuo Litao2,Hong Jinsheng345,Su Li345,Lyu Wenlong345,Ye Jinru345,Fang Yan6,Zhan Zhiying7,Zhang Hairong8,Li Xiaomei1

Affiliation:

1. School of Nursing Health Science Center, Xi'an Jiaotong University Xi'an China

2. School of Nursing Fujian Medical University Fuzhou China

3. Department of Radiotherapy Cancer Center, the First Affiliated Hospital of Fujian Medical University Fuzhou China

4. Department of Radiotherapy National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University Fuzhou China

5. Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, The First Affiliated Hospital, Fujian Medical University Fuzhou China

6. Nursing Department The First Affiliated Hospital of Fujian Medical University Fuzhou China

7. Department of Epidemiology and Health Statistics Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University Fuzhou China

8. Fujian Center for Disease Control and Prevention Fuzhou China

Abstract

AbstractBackgroundPatients with nasopharyngeal carcinoma (NPC) undergoing radiotherapy experience significant fatigue, which is frequently underestimated due to the lack of objective indicators for its evaluation. This study aimed to explore the longitudinal association between fatigue and nutrition status 1 week in advance.MethodsFrom January 2021 to June 2022, a total of 105 NPC patients who received intensity‐modulated radiation therapy were enrolled in the observational longitudinal study. The significant outcomes, including the Piper Fatigue Scale‐12 (PFS‐12), the Scored Patient‐Generated Subjective Global Assessment (PG‐SGA), four body composition indices, and the Hospital Anxiety and Depression Scale (HADS), were assessed weekly from pre‐treatment until the completion of radiotherapy (T0–T7) to explore their relationship.ResultsThe trajectories of PFS‐12 and all dimensions for 105 participants reached a peak during the fifth week. Sensory fatigue consistently received the highest scores (T0 = 1.60 ± 2.20, T5 = 6.15 ± 1.57), whereas behavior fatigue exhibited the fastest increase over time (T0 = 1.11 ± 1.86, T5 = 5.47 ± 1.70). Higher PG‐SGA scores were found to be weakly explainable for aggravating fatigue (β = 0.02 ~ 0.04). Unlike generalized additive mixed models, marginal structural models (MSM) produced larger effect values (β = 0.12 ~ 0.21). Additionally, body composition indices showed weakly negative relationships with fatigue in MSMs one week in advance.ConclusionsThe PG‐SGA may be a more accurate predictor of future‐week fatigue than individual body composition indicators, particularly when HADS is controlled for as a time‐dependent confounder.

Publisher

Wiley

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