Opioid Overdose Risk in Patients Returning to the Emergency Department for Pain. Issue 9 (9th February 2021)

• Record Type: Journal Article
• Authors: Sheikh, Sophia; Booth-Norse, Ashley; Holden, David; Henson, Morgan; Dodd, Caroline; Edgerton, Eric; James, Divya; Kalynych, Colleen; Smotherman, Carmen; Hendry, Phyllis
• Is Part Of: Pain medicine. Volume 22:Issue 9(2021)
• Page Start: 2100
• Page End: 2105
• Publication Date: 2021-02-09
• Subjects: Opioid -- Overdose -- Emergency Department -- RIOSORD; Pain -- Periodicals; Pain -- Treatment -- Periodicals; Analgesics -- Periodicals; Pain -- Periodicals; Pain Management -- Periodicals; Douleur -- Périodiques; Douleur -- Traitement -- Périodiques; Analgésiques -- Périodiques; Analgésique; Soulagement de la douleur; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.047205
• DOI: 10.1093/pm/pnab047
• Languages: English
• ISSNs: 1526-2375

Abstract

Abstract: Objective: Using the Risk Index for Overdose or Serious Opioid-induced Respiratory Depression (CIP-RIOSORD) in patients returning to the emergency department (ED) for pain and discharged with an opioid prescription, we assessed overall opioid overdose risk and compared risk in opioid naive patients to those who are non-opioid naive. Design: This was a secondary analysis from a prospective observational study of patients ≥ 18 years old returning to the ED within 30 days. Data were collected from patient interviews and chart reviews. Patients were categorized as Group 1 (not using prescription opioids) or Group 2 (consuming prescription opioids). Statistical analyses were performed using Fisher's exact and Wilcoxon's rank sum tests. Risk class and probability of overdose was determined using Risk Index for Overdose or Serious Opioid-induced Respiratory Depression (CIP-RIOSORD). Results: Of the 389 enrollees who returned to the ED due to pain within 30 days of an initial visit, 67 (17%) were prescribed opioids. The majority of these patients were in Group 1 (60%). Both Group 1 (n = 40) and Group 2 (n = 27) held an average CIP-RIOSORD risk class of 3. Race significantly differed between groups; the majority of Group 1 self-identified as African American (80%) ( P = .0267). There were no differences in age, gender, or CIP-RIOSORD risk class between groups. However, Group 2 had nearly double the number of predictive factors (median = 1.93) as Group 1 (median = 1.18) ( P = .0267). Conclusions: A substantial proportion of patients (25%) were high risk for opioid overdose. CIP-RIOSORD may prove beneficial in risk stratification of patients discharged with prescription opioids from the ED.