Abstract
Background Fatigue is one of the most common symptoms found in patients with advanced cancer. There is interplay between fatigue and other symptoms. AimTo examine the factors associated with fatigue in patients with advanced cancer and the impact of symptom control on improvement in fatigue. Design Prospective observational study. Patients were assessed for symptom burden using the Edmonton Symptom Assessment Scale (ESAS). All the study patients received standard palliative care. They were followed up 15–30 days after the first consult. Analysis of the results was performed using descriptive statistics, correlation, multiple linear regressions and logistic regression of fatigue with other variables. CTRI registration number REF/2014/02/006537. Setting/participantsPalliative Care clinic of a tertiary cancer care hospital, from January to June 2014. Patients had advanced cancer, were registered with the clinic, had ECOG ≤ 3, and ESAS fatigue score ≥ 1. Results 500 subjects enrolled at baseline. 402 completed the planned follow-up (median age, 52 years; 51.6% male). Significant improvement in the fatigue score was observed (p < 0.001) at follow-up. Haemoglobin, albumin levels, type of cancer, sites of metastasis, ECOG score, body weight, all items on ESAS scale (except drowsiness) were found to be significantly associated with fatigue at baseline (p < 0.05). The logistic regression model showed that improvement in haemoglobin and albumin levels and in severity of pain and dyspnoea, significantly improved fatigue scores at follow up. Conclusions Fatigue improved with the standard palliative care delivered at our specialty Palliative Care clinic. Certain clinical, biochemical factors and symptoms were associated with fatigue severity at baseline, improvement of which lead to lesser fatigue at follow up.
| Original language | English |
|---|---|
| Pages (from-to) | 63-74 |
| Number of pages | 12 |
| Journal | Progress in Palliative Care |
| Volume | 25 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 04-03-2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- General Nursing
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