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The development of a nomogram to determine the frequency of elevated risk for non-medical opioid use in cancer patients

Published online by Cambridge University Press:  30 July 2020

Sriram Yennurajalingam*
Affiliation:
Department of Palliative Care, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
Tonya Edwards
Affiliation:
Department of Palliative Care, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
Joseph Arthur
Affiliation:
Department of Palliative Care, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
Zhanni Lu
Affiliation:
Department of Palliative Care, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
Elif Erdogan
Affiliation:
Department of Palliative Care, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
Jimi S. Malik
Affiliation:
Department of Palliative Care, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
Syed Mujtaba Ali Naqvi
Affiliation:
Department of Palliative Care, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
Jimin Wu
Affiliation:
Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX
Diane D. Liu
Affiliation:
Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX
Janet L. Williams
Affiliation:
Department of Palliative Care, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
David Hui
Affiliation:
Department of Palliative Care, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
Suresh K. Reddy
Affiliation:
Department of Palliative Care, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
Eduardo Bruera
Affiliation:
Department of Palliative Care, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
*
Author for correspondence: Sriram Yennurajalingam, Department of Palliative Care, Rehabilitation, and Integrative Medicine, Unit 1414, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030, USA. E-mail: syennu@mdanderson.org

Abstract

Objective

Non-medical opioid use (NMOU) is a growing crisis. Cancer patients at elevated risk of NMOU (+risk) are frequently underdiagnosed. The aim of this paper was to develop a nomogram to predict the probability of +risk among cancer patients receiving outpatient supportive care consultation at a comprehensive cancer center.

Method

3,588 consecutive patients referred to a supportive care clinic were reviewed. All patients had a diagnosis of cancer and were on opioids for pain. All patients were assessed using the Edmonton Symptom Assessment Scale (ESAS), Screener and Opioid Assessment for Patients with Pain (SOAPP-14), and CAGE-AID (Cut Down-Annoyed-Guilty-Eye Opener) questionnaires. “+risk” was defined as an SOAPP-14 score of ≥7. A nomogram was devised based on the risk factors determined by the multivariate logistic regression model to estimate the probability of +risk.

Results

731/3,588 consults were +risk. +risk was significantly associated with gender, race, marital status, smoking status, depression, anxiety, financial distress, MEDD (morphine equivalent daily dose), and CAGE-AID score. The C-index was 0.8. A nomogram was developed and can be accessed at https://is.gd/soappnomogram. For example, for a male Hispanic patient, married, never smoked, with ESAS scores for depression = 3, anxiety = 3, financial distress = 7, a CAGE score of 0, and an MEDD score of 20, the total score is 9 + 9+0 + 0+6 + 10 + 23 + 0+1 = 58. A nomogram score of 58 indicates the probability of +risk of 0.1.

Significance of results

We established a practical nomogram to assess the +risk. The application of a nomogram based on routinely collected clinical data can help clinicians establish patients with +risk and positively impact care planning.

Type
Original Article
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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References

REFERENCES

Adams, LL, Gatchel, RJ, Robinson, RC, et al. (2004) Development of a self-report screening instrument for assessing potential opioid medication misuse in chronic pain patients. Journal of Pain and Symptom Management 27(5), 440459.CrossRefGoogle ScholarPubMed
Akbik, H, Butler, RC, Budman, SH, et al. (2006) Validation and clinical application of the Screener and Opioid Assessment for Patients with Pain (SOAPP). Journal of Pain and Symptom Management 32(3), 287293.CrossRefGoogle Scholar
Anghelescu, DL, Ehrentraut, JH and Faughnan, LG (2013) Opioid misuse and abuse: Risk assessment and management in patients with cancer pain. Journal of the National Comprehensive Cancer Network 11(8), 10231031.CrossRefGoogle ScholarPubMed
Arthur, J and Bruera, E (2019) Balancing opioid analgesia with the risk of nonmedical opioid use in patients with cancer. Nature Reviews Clinical Oncology 16(4), 213226.CrossRefGoogle ScholarPubMed
Belgrade, MJ, Schamber, CD and Lindgren, BR (2006) The DIRE score: Predicting outcomes of opioid prescribing for chronic pain. Journal of Pain 7(9), 671681.CrossRefGoogle ScholarPubMed
Bruera, E, Kuehn, N, Miller, MJ, 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.CrossRefGoogle ScholarPubMed
Bruera, E, Moyano, J, Seifert, L, et al. (1995) The frequency of alcoholism among patients with pain due to terminal cancer. Journal of Pain and Symptom Management 10(8), 599603.CrossRefGoogle ScholarPubMed
Butler, SF, Budman, SH, Fernandez, KC, et al. (2007) Development and validation of the current opioid misuse measure. Pain 130(1–2), 144156.CrossRefGoogle ScholarPubMed
Butler, SF, Fernandez, K, Benoit, C, et al. (2008) Validation of the revised screener and opioid assessment for patients with pain (SOAPP-R). The Journal of Pain: Official Journal of the American Pain Society 9(4), 360372.CrossRefGoogle Scholar
Carmichael, AN, Morgan, L and Del Fabbro, E (2016) Identifying and assessing the risk of opioid abuse in patients with cancer: An integrative review. Substance Abuse and Rehabilitation 7, 7179.Google Scholar
Cheatle, MD, Compton, PA and Dhingra, L (2019) Development of the revised opioid risk tool to predict opioid use disorder in patients with chronic nonmalignant pain. Journal of Pain 20(7), 842851.CrossRefGoogle ScholarPubMed
Childers, JW, King, LA and Arnold, RM (2015) Chronic pain and risk factors for opioid misuse in a palliative care clinic. American Journal of Hospice & Palliative Care 32(6), 654659.CrossRefGoogle Scholar
DelFabbro, E (2014) Assessment and management of chemical coping in patients with cancer. Journal of Clinical Oncology 32(16), 17341738.CrossRefGoogle Scholar
Drews, E and Zimmer, A (2010) Modulation of alcohol and nicotine responses through the endogenous opioid system. Progress in Neurobiology 90(1), 115.CrossRefGoogle ScholarPubMed
Ewing, JA (1984) Detecting alcoholism. The CAGE questionnaire. JAMA 252(14), 19051907.CrossRefGoogle ScholarPubMed
Gilson, AM and Kreis, PG (2009). The burden of the nonmedical use of prescription opioid analgesics. Pain Medicine 10(Suppl 2), S89–S100.CrossRefGoogle ScholarPubMed
Kim, YJ, Dev, R, Reddy, A, et al. (2016) Association between tobacco use, symptom expression, and alcohol and illicit drug use in advanced cancer patients. Journal of Pain and Symptom Management 51(4), 762768.CrossRefGoogle ScholarPubMed
Koyyalagunta, D, Bruera, E, Aigner, C, et al. (2013) Risk stratification of opioid misuse among patients with cancer pain using the SOAPP-SF. Pain Medicine 14(5), 667675.CrossRefGoogle ScholarPubMed
Manchikanti, L and Singh, A (2008). Therapeutic opioids: a ten-year perspective on the complexities and complications of the escalating use, abuse, and nonmedical use of opioids. Pain Physician 11(2 Suppl), S63S88.Google ScholarPubMed
Mayfield, D, McLeod, G and Hall, P (1974) The CAGE questionnaire: Validation of a new alcoholism screening instrument. American Journal of Psychiatry 131(10), 11211123.Google ScholarPubMed
Oken, MM, Creech, RH, Tormey, DC, et al. (1982) Toxicity and response criteria of the Eastern Cooperative Oncology Group. American Journal of Clinical Oncology 5(6), 649655.CrossRefGoogle ScholarPubMed
Parsons, HA, Delgado-Guay, MO, Osta, BE, et al. (2008) Alcoholism screening in patients with advanced cancer: Impact on symptom burden and opioid use. Journal of Palliative Medicine 11(7), 964968.CrossRefGoogle ScholarPubMed
Rauenzahn, S and Del Fabbro, E (2014) Opioid management of pain: the impact of the prescription opioid abuse epidemic. Current Opinion in Supportive and Palliative Care 8(3), 273278.CrossRefGoogle ScholarPubMed
Reyes-Gibby, CC, Anderson, KO and Todd, KH (2016) Risk for opioid misuse among emergency department cancer patients. Academic Emergency Medicine 23(2), 151158.CrossRefGoogle ScholarPubMed
Smith, SM, Paillard, F, McKeown, A, et al. (2015) Instruments to identify prescription medication misuse, abuse, and related events in clinical trials: An ACTTION systematic eeview. Journal of Pain 16(5), 389411.CrossRefGoogle Scholar
Webster, LR and Webster, RM (2005) Predicting aberrant behaviors in opioid-treated patients: Preliminary validation of the Opioid Risk Tool. Pain Medicine 6(6), 432442.CrossRefGoogle ScholarPubMed
Wu, SM, Compton, P, Bolus, R, et al. (2006) The addiction behaviors checklist: Validation of a new clinician-based measure of inappropriate opioid use in chronic pain. Journal of Pain and Symptom Management 32(4), 342351.CrossRefGoogle ScholarPubMed
Yennurajalingam, S, Edwards, T, Arthur, JA, et al. (2018) Predicting the risk for aberrant opioid use behavior in patients receiving outpatient supportive care consultation at a comprehensive cancer center. Cancer 124(19), 39423949.CrossRefGoogle Scholar