Indian Journal of Palliative Care
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Year : 2020  |  Volume : 26  |  Issue : 4  |  Page : 523--527

To assess the prevalence and predictors of cancer-related fatigue and its impact on quality of life in advanced cancer patients receiving palliative care in a tertiary care hospital: A cross-sectional descriptive study

1 Departments of Onco-Anaesthesia and Palliative Medicine, Dr. BRAIRCH, All India Institute of Medical Sciences, New Delhi, India
2 Department of Biostatistics, AIIMS, New Delhi, India

Correspondence Address:
Rakesh Garg
Room No 139, Fist Floor, Department of Onco-Anaesthesia and Palliative Medicine, Dr. BRAIRCH, All India Institute of Medical Sciences, Ansari Nagar, New Delhi - 110 029
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/IJPC.IJPC_223_19

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Introduction: Cancer-related fatigue (CRF) is one of the adverse outcomes of cancer and its treatment. Despite its high prevalence; the data are scarce from the Indian population on the prevalence of CRF and its predictors in advanced cancer patients. Hence, we aim to find the prevalence of the fatigue, its impact of fatigue on quality of life (QOL), and possible predictors. Methods: This study was conducted after approval of the ethical committee in adult patients of advanced cancer receiving palliative care. The data collected included demographic details, nutritional status, any comorbidities involving cardiorespiratory, renal, pulmonary, and neurological system, type and stage of cancer, site of metastasis, any previous or ongoing chemotherapy or radiotherapy, history of drug intake, hemoglobin, and albumin. The study parameters included assessment of fatigue, QOL, and symptom assessment as per the validated tools. The primary objective of the study was to find the prevalence of fatigue in advanced cancer patients receiving palliative care. The secondary objectives were to find predictive factors of fatigue, its impact on QOL of patients, and the relation between the fatigue and QOL receiving palliative care. The correlation between fatigue score and QOL was analyzed using Pearson's correlation coefficient. Multiple linear regression analysis was performed for identifying the predictors of CRF. Results: The fatigue was observed in all 110 patients in this study. Of these, severe fatigue was seen in 97 patients (Functional Assessment of Chronic Illness Therapy [FACIT]-F < 30). The median (interquartile range [IQR]) FACIT-F score was 14 (8–23). The median (IQR) of the overall QOL was 16.66 (16.6–50).The correlation between the fatigue (FACIT-F) and QOL was + 0.64 (P < 0.001). The predictors of fatigue included pain, physical functioning, Eastern Cooperative Oncology Group, tiredness, and the level of albumin. Conclusion: We conclude that the prevalence of fatigue in Indian patients with advanced cancer receiving palliative care was high and it has a negative impact on QOL. Pain, physical functioning, performance status, and albumin were found to be independent predictors of CRF.


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