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The routine use of the Edmonton Classification System for Cancer Pain in an outpatient supportive care center

Published online by Cambridge University Press:  14 October 2014

Joseph Arthur*
Affiliation:
Department of Palliative Care and Rehabilitation Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
Sriram Yennurajalingam
Affiliation:
Department of Palliative Care and Rehabilitation Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
Linh Nguyen
Affiliation:
Department of Palliative Care and Rehabilitation Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
Kimberson Tanco
Affiliation:
Department of Palliative Care and Rehabilitation Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
Gary Chisholm
Affiliation:
Department of Palliative Care and Rehabilitation Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
David Hui
Affiliation:
Department of Palliative Care and Rehabilitation Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
Eduardo Bruera
Affiliation:
Department of Palliative Care and Rehabilitation Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
*
Address correspondence and reprint requests to: Joseph Arthur, Department of Palliative Care and Rehabilitation Medicine, Unit 1414, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030. E-Mail: [email protected]

Abstract

Objective:

There is no standardized and universally accepted pain classification system for the assessment and management of cancer pain in both clinical practice and research studies. The Edmonton Classification System for Cancer Pain (ECS–CP) is an assessment tool that has demonstrated value in assessing pain characteristics and response. The purpose of our study was to determine the relationship between negative ECS–CP features and some pain-related variables like pain intensity and opioid use. We also explored whether the number of negative ECS–CP features was associated with higher pain intensity.

Method:

The electronic charts of 100 patients at an outpatient supportive care clinic in a comprehensive cancer center were reviewed for variables like patient characteristics, initial ECS–CP assessment, morphine equivalent daily dose (MEDD), opioid rotation, Edmonton Symptom Assessment Score (ESAS), and use of adjuvant analgesics.

Results:

Some 91 of the 100 charts were eligible for analysis. The most common primary cancer type was gastrointestinal (22.1%). The median pain intensity was 6, and the median MEDD was 45 mg. Neuropathic pain was associated with higher median pain intensity (7 vs. 5, p = 0.007) and median MEDD requirement (83 vs. 30, p = 0.013). Psychological distress was associated with higher median pain intensity (7 vs. 5, p = 0.042). Incident pain was also associated with a trend toward higher pain intensity (6 vs. 5, p = 0.06). A higher number of negative ECS–CP features was associated with higher pain intensity (p = 0.01).

Significance of Results:

The ECS–CP was successfully completed in the majority of patients, demonstrating its utility in routine clinical practice. Neuropathic pain and psychological distress were associated with higher pain intensity. Also, neuropathic pain was associated with a higher MEDD. A higher sum of negative ECS–CP features was associated with higher pain intensity. Further studies will be needed to verify and explore these observations.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2014 

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References

REFERENCES

Bakitas, M., Lyons, K.D., Hegel, M.T., et al. (2009). Effects of a palliative care intervention on clinical outcomes in patients with advanced cancer: The Project ENABLE II randomized controlled trial. The Journal of the American Medical Association, 302(7), 741749.Google Scholar
Breitbart, W., Rosenfeld, B., Roth, A, et al. (1997). The Memorial Delirium Assessment Scale. Journal of Pain and Symptom Management, 13(3), 128137.Google Scholar
Bruera, E., MacMillan, K., Hanson, J., et al. (1989). The Edmonton Staging System for cancer pain: Preliminary report. Pain, 37(2), 203209.Google Scholar
Bruera, E., Kuehn, N., Miller, M.J., et al. (1991). The Edmonton Symptom Assessment System (ESAS): A simple method for the assessment of palliative care patients. Journal of Palliative Care, 7(2), 69.Google Scholar
Bruera, E., Schoeller, T., Wenk, R., et al. (1995). A prospective multicenter assessment of the Edmonton staging system for cancer pain. Journal of Pain and Symptom Management, 10(5), 348355.Google Scholar
Bruera, E., Michaud, M., Vigano, A., et al. (2001). Multidisciplinary symptom control clinic in a cancer center: A retrospective study. Supportive Care in Cancer, 9(3), 162168.Google Scholar
Caraceni, A., Cherny, N., Fainsinger, R., et al. (2002). Pain measurement tools and methods in clinical research in palliative care: Recommendations of an expert working group of the European Association of Palliative Care. Journal of Pain and Symptom Management, 23(3), 239255.Google Scholar
Chang, V.T., Hwang, S.S. & Feuerman, M. (2000). Validation of the Edmonton Symptom Assessment Scale. Cancer, 88(9), 21642171.Google Scholar
Cleeland, C.S., Gonin, R., Hatfield, A.K., et al. (1994). Pain and its treatment in outpatients with metastatic cancer. The New England Journal of Medicine, 330(9), 592596.Google Scholar
Dev, R., Parsons, H.A., Palla, S., et al. (2011). Undocumented alcoholism and its correlation with tobacco and illegal drug use in advanced cancer patients. Cancer, 117(19), 45514556.Google Scholar
Fadul, N., Kaur, G., Zhang, T., et al. (2007). Evaluation of the Memorial Delirium Assessment Scale (MDAS) for the screening of delirium by means of simulated cases by palliative care health professionals. Supportive Care in Cancer, 15(11), 12711276.Google Scholar
Fainsinger, R.L & Nekolaichuk, C.L. (2008). A “TNM” classification system for cancer pain: The Edmonton Classification System for Cancer Pain (ECS–CP). Supportive Care in Cancer, 16(6), 547555.Google Scholar
Fainsinger, R.L., Nekolaichuk, C.L., Lawlor, P.G., et al. (2005). A multicenter study of the revised Edmonton Staging System for classifying cancer pain in advanced cancer patients. Journal of Pain and Symptom Management, 29(3), 224237.Google Scholar
Fainsinger, R.L., Nekolaichuk, C., Lawlor, P., et al. (2010). An international multicentre validation study of a pain classification system for cancer patients. European Journal of Cancer, 46(16), 28962904.CrossRefGoogle ScholarPubMed
Fainsinger, R., Nekolaichuk, C., Lawlor, P., et al. (2012). Edmonton Classification System for Cancer Pain (ECS–CP): Administration manual, 2nd ed. Available at http://www.palliative.org/newpc/_pdfs/tools/(ECS-CP)Edmonton%20Classification%20System%20for%20Cancer%20Pain%20Manual-Jan13.pdf.Google Scholar
Follwell, M., Burman, D., Le, L.W., et al. (2009). Phase II study of an outpatient palliative care intervention in patients with metastatic cancer. Journal of Clinical Oncology, 27(2), 206213.Google Scholar
Gustorff, B., Dorner, T., Likar, R., et al. (2008). Prevalence of self-reported neuropathic pain and impact on quality of life: A prospective representative survey. Acta Anaesthesiologica Scandinavica, 52(1), 132136.Google Scholar
Hagen, N.A., Klepstad, P. & Hjermstad, M.J. (2008). Lofoten seminar: The pain sessions. Palliative Medicine, 22(8), 891894.Google Scholar
Holtan, A., Aass, N., Nordoy, T., et al. (2007). Prevalence of pain in hospitalized cancer patients in Norway: A national survey. Palliative Medicine, 21(1), 713.CrossRefGoogle ScholarPubMed
Hosie, A., Davidson, P.M., Agar, M., et al. (2013). Delirium prevalence, incidence, and implications for screening in specialist palliative care inpatient settings: A systematic review. Palliative Medicine, 27(6), 486498.Google Scholar
Knudsen, A.K., Aass, N., Fainsinger, R., et al. (2009). Classification of pain in cancer patients: A systematic literature review. Palliative Medicine, 23(4), 295308.CrossRefGoogle ScholarPubMed
Kuriya, M., Yennurajalingam, S., de la Cruz, M.G., et al. (2014). Frequency and factors associated with falls in patients with advanced cancer presenting to an outpatient supportive care clinic. Palliative & Supportive Care, 13, 15.Google Scholar
Kwon, J.H., Hui, D., Chisholm, G., et al. (2013). Predictors of long-term opioid treatment among patients who receive chemoradiation for head and neck cancer. The Oncologist, 18(6), 768774.Google Scholar
Lavigne, G.L., McMillan, D. & Zucconi, M. (2005). Pain and sleep. In Principles and practice of sleep medicine, 4th ed. Kryger, M.H., Roth, T. & Dement, W.C. (eds.), pp. 12461255. Philadelphia: Elsevier Saunders.Google Scholar
Nekolaichuk, C.L., Fainsinger, R.L. & Lawlor, P.G. (2005). A validation study of a pain classification system for advanced cancer patients using content experts: The Edmonton Classification System for Cancer Pain. Palliative Medicine, 19(6), 466476.Google Scholar
Parsons, H.A., Delgado-Guay, M.O., El Osta, B., et al. (2008). Alcoholism screening in patients with advanced cancer: Impact on symptom burden and opioid use. Journal of Palliative Medicine, 11(7), 964968.Google Scholar
Philip, J., Smith, W.B., Craft, P., et al. (1998). Concurrent validity of the modified Edmonton Symptom Assessment System with the Rotterdam Symptom Checklist and the Brief Pain Inventory. Supportive Care in Cancer, 6(6), 539541.Google Scholar
Portenoy, R.K. & Lesage, P. (1999). Management of cancer pain. Lancet, 353(9165), 16951700.Google Scholar
Roehrs, T., Hyde, M., Blaisdell, B., et al. (2006). Sleep loss and REM sleep loss are hyperalgesic. Sleep, 29(2), 145151.Google Scholar
Strasser, F., Sweeney, C., Willey, J., et al. (2004). Impact of a half-day multidisciplinary symptom control and palliative care outpatient clinic in a comprehensive cancer center on recommendations, symptom intensity, and patient satisfaction: A retrospective descriptive study. Journal of Pain and Symptom Management, 27(6), 481491.Google Scholar
Yennu, S., Urbauer, D.L. & Bruera, E. (2012). Factors associated with the severity and improvement of fatigue in patients with advanced cancer presenting to an outpatient palliative care clinic. BMC Palliative Care, 11, 16.Google Scholar
Zelman, D.C., Brandenburg, N.A. & Gore, M. (2006). Sleep impairment in patients with painful diabetic peripheral neuropathy. The Clinical Journal of Pain, 22(8), 681685.Google Scholar