Characteristics of Cancer-Related Fatigue and an Efficient Model to Identify Patients with Gynecological Cancer Seeking Fatigue-Related Management.

Simple Summary: Cancer-related fatigue (CRF) is a common somatic discomfort in gynecological cancer patients; however, it is usually overlooked by physicians. We aimed to explore the prevalence of CRF's and the clinical characteristics of gynecological cancer patients. The results showed that 77.9% of patients had received related CRF management. A five-item predictive model was developed from the identified risk factors contributing to CRF. The risk factors included (1) diagnosis of endometrial/cervical cancer, (2) International Federation of Gynecology and Obstetrics (FIGO) stage >1, (3) Eastern Cooperative Oncology Group (ECOG) status score ≥1, (4) inadequate treatment response, and (5) having received cancer treatment in the past 1 week. The predictive model may help physicians more promptly identify high-risk patients in clinical practice. 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. [ABSTRACT FROM AUTHOR]