David Hui, MD, MSc, Eduardo Bruera, MD 

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The Edmonton Symptom Assessment System 25 Years Later: Past, Present, and Future Developments  David Hui, MD, MSc, Eduardo Bruera, MD  Journal of Pain and Symptom Management  Volume 53, Issue 3, Pages 630-643 (March 2017) DOI: 10.1016/j.jpainsymman.2016.10.370 Copyright © 2016 American Academy of Hospice and Palliative Medicine Terms and Conditions

Fig. 1 Edmonton Symptom Assessment System. The current version used at MD Anderson Cancer Center uses 24 hours as the time frame anchor for the 0–10 numeric rating scales. Journal of Pain and Symptom Management 2017 53, 630-643DOI: (10.1016/j.jpainsymman.2016.10.370) Copyright © 2016 American Academy of Hospice and Palliative Medicine Terms and Conditions

Fig. 2 Use of ESAS to trigger palliative care referral. Routine symptom assessment needs to be endorsed by clinicians and coupled with action plans to improve clinical outcomes. A recent international consensus identified severe symptom distress as a criterion for palliative care referral, although this threshold may need to be refined at each institution.77 ESAS = Edmonton Symptom Assessment System. Journal of Pain and Symptom Management 2017 53, 630-643DOI: (10.1016/j.jpainsymman.2016.10.370) Copyright © 2016 American Academy of Hospice and Palliative Medicine Terms and Conditions

Fig. 3 ESAS displays. ESAS can be graphically displayed, and the pattern of symptom expression can be highly informative. (a) Globally elevated symptom expression—this pattern may suggest the presence of symptom modulators such as depression or anxiety. These modulators would need to be properly addressed as part of the symptom management plan. (b) U-shape distribution—some patients may under-report their level of anxiety and depression, although they may be contributing to their high physical symptom expression. These patients may benefit from assessment of their emotional status even if they do not report any. (c) Solitary pain—some patients have very high pain expression, but no other associated symptoms, which is atypical. The clinician may want to carefully characterize the patient's pain history and ensure safe opioid use. (d) ESAS symptom expression array—each column represents one ESAS assessment for an individual patient, each row represents one ESAS symptom, and the color represents symptom intensity (green = none, red = worst). This novel display may be generated by a computer program to illustrate the ESAS symptoms for multiple patients at the same time, or for the same patient over time. The example here displays ESAS scores on admission for patients at an acute palliative care unit. Symptom clusters can be clearly detected (fatigue, appetite, drowsiness). Nausea had low expression. The expression of dyspnea was also associated with anxiety. ESAS = Edmonton Symptom Assessment System. Journal of Pain and Symptom Management 2017 53, 630-643DOI: (10.1016/j.jpainsymman.2016.10.370) Copyright © 2016 American Academy of Hospice and Palliative Medicine Terms and Conditions

Fig. 4 Symptom response criteria. (a) Distribution of PSG for 10 symptoms. Most patients reported a PSG of three or less. (b) Response rates differences by baseline symptom intensity and response criteria. We plotted the response rates by two criteria (MCID and PSG) according to baseline symptom intensity (i.e., mild 1–3, moderate 4–6, and severe 7–10). Using the MCID criteria, patients with higher baseline symptom intensity were more likely to achieve a response and vice versa; in contrast, the personalized symptom response criteria resulted in the opposite conclusion. P-values were computed based on the McNemar test (*P < 0.0001, †P < 0.001, ‡P < 0.05). Reprinted with permissions from the American Cancer Society.43 MCID = minimal clinically important difference; PSG = personalized symptom goal. Journal of Pain and Symptom Management 2017 53, 630-643DOI: (10.1016/j.jpainsymman.2016.10.370) Copyright © 2016 American Academy of Hospice and Palliative Medicine Terms and Conditions