Characteristics of Cancer-Related Fatigue and an Efficient Model to Identify Patients with Gynecological Cancer Seeking Fatigue-Related Management.
Ying-Wen WangYu-Che OuHao LinKun-Siang HuangHung-Chun FuChen-Hsuan WuYing-Yi ChenSzu-Wei HuangHung-Pin TuChing-Chou TsaiPublished in: Cancers (2023)
Cancer-related fatigue (CRF) is the most common somatic discomfort in patients with gynecological cancers. CRF is often overlooked; however, it can impair the patients' quality of life considerably. This cross-sectional study aimed to identify the clinical characteristics of CRF in gynecological cancer patients. Questionnaires and the International Classification of Diseases 10th Revision (ICD-10) criteria were used to identify CRF. The enrolled patients were further categorized according to the amount of fatigue-related management received. Of the enrolled 190 patients, 40.0% had endometrial cancer, 28.9% had cervical cancer, and 31.1% had ovarian cancer. On the basis of the ICD-10 diagnostic criteria, 42.6% had non-cancer-related fatigue, 10% had CRF, and 51% had BFI-T questionnaire-based fatigue. Moreover, 77.9% of the study cohort had ever received fatigue-related management. Further analysis showed that patients with endometrial/cervical cancer, International Federation of Gynecology and Obstetrics stage >1, Eastern Cooperative Oncology Group performance status score ≥1, inadequate cancer treatment response, and receiving cancer treatment in the past week had a higher probability of receiving more fatigue-related management. The five-item predictive model developed from these factors may help physicians recognize patients seeking more fatigue-related management more efficiently. This is important as they may suffer from a more profound CRF.
Keyphrases
- end stage renal disease
- chronic kidney disease
- newly diagnosed
- ejection fraction
- sleep quality
- endometrial cancer
- gene expression
- peritoneal dialysis
- clinical trial
- total knee arthroplasty
- deep learning
- primary care
- intellectual disability
- prognostic factors
- dna methylation
- cross sectional
- mental health
- autism spectrum disorder
- south africa
- papillary thyroid
- depressive symptoms