Literature DB >> 32729447

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

Sriram Yennurajalingam1, Tonya Edwards1, Joseph Arthur1, Zhanni Lu1, Elif Erdogan1, Jimi S Malik1, Syed Mujtaba Ali Naqvi1, Jimin Wu2, Diane D Liu2, Janet L Williams1, David Hui1, Suresh K Reddy1, Eduardo Bruera1.   

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.

Entities:  

Keywords:  Alcoholism; cancer pain; drug abuse; nomogram; non-medical opioid use; opioids; risk of aberrant opioid behavior; smoking; symptoms

Year:  2021        PMID: 32729447     DOI: 10.1017/S1478951520000322

Source DB:  PubMed          Journal:  Palliat Support Care        ISSN: 1478-9515


  4 in total

1.  When treatment algorithms fail: A response to the development of a nomogram to determine the frequency of elevated risk for non-medical opioid use in cancer patients.

Authors:  Katie Fitzgerald Jones; Zachary Sager; Richard E Leiter; Justin J Sanders
Journal:  Palliat Support Care       Date:  2021-10

2.  Fighting racism in research.

Authors:  Gil Goldzweig; Allison Applebaum; Gian Domenico Borasio; Juhee Cho; Harvey Max Chochinov; Mayumi Ishida; Matthew Loscalzo; William Breitbart
Journal:  Palliat Support Care       Date:  2021-10

3.  Management of pain in the cancer patient.

Authors:  Shalini Dalal; Eduardo Bruera
Journal:  Front Pain Res (Lausanne)       Date:  2022-08-08

Review 4.  Prevalence of Opioid Use Disorder among Patients with Cancer-Related Pain: A Systematic Review.

Authors:  Céline Preux; Marion Bertin; Andréa Tarot; Nicolas Authier; Nathalie Pinol; David Brugnon; Bruno Pereira; Virginie Guastella
Journal:  J Clin Med       Date:  2022-03-14       Impact factor: 4.241

  4 in total

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