Seshadri C Mudumbai1, Elizabeth M Oliva2, Eleanor T Lewis2, Jodie Trafton2, Daniel Posner3, Edward R Mariano4, Randall S Stafford5, Todd Wagner5, J David Clark4. 1. *Anesthesiology and Perioperative Care Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, California Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, California mudumbai@stanford.edu. 2. Program Evaluation and Resource Center; and Center for Innovation to Implementation, Veterans Affairs Palo Alto Health Care System, Palo Alto, California. 3. Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts. 4. *Anesthesiology and Perioperative Care Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, California Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, California. 5. Department of Medicine, Stanford University School of Medicine, Stanford, California, Health Economics Resource Center, Menlo Park, California; Center for Innovation to Implementation, Veterans Affairs Palo Alto Health Care System, Palo Alto, California; and Department of Health Research and Policy, Stanford University, Stanford, California, USA.
Abstract
OBJECTIVE: This study aims to determine 1) the epidemiology of perioperative opioid use; and 2) the association between patterns of preoperative opioid use and time-to-cessation of postoperative opioids. DESIGN: Retrospective, cohort study. SETTING: National, population-level study of Veterans Healthcare Administration (VHA) electronic clinical data. SUBJECTS: All VHA patients (n = 64,391) who underwent surgery in 2011, discharged after stays of ≥1 day, and receiving ≥1 opioid prescription within 90 days of discharge. METHODS: Patients' preoperative opioid use were categorized as 1) no opioids, 2) tramadol only, 3) short-acting (SA) acute/intermittent (≤ 90 days fill), 4) SA chronic (> 90 days fill), or 5) any long-acting (LA). After defining cessation as 90 consecutive, opioid-free days, the authors calculated time-to-opioid-cessation (in days), from day 1 to day 365, after hospital discharge. The authors developed extended Cox regression models with a priori identified predictors. Sensitivity analyses used alternative cessation definitions (30 or 180 consecutive days). RESULTS: Almost 60% of the patients received preoperative opioids: tramadol (7.5%), SA acute/intermittent (24.1%), SA chronic (17.5%), and LA (5.2%). For patients opioid-free preoperatively, median time-to-cessation of opioids postoperatively was 15 days. The SA acute/intermittent cohort (HR =1.96; 95% CI =1.92-2.00) had greater risk for prolonged time-to-cessation than those opioid-free (reference), but lower risk than those taking tramadol only, SA chronic (HR = 9.09; 95% CI = 8.33-9.09), or LA opioids (HR = 9.09; 95% CI = 8.33-10.00). Diagnoses of chronic pain, substance-use, or affective disorders were weaker positive predictors. Sensitivity analyses maintained findings. CONCLUSION: Greater preoperative levels of opioid use were associated with progressively longer time-to-cessation postoperatively. Published by Oxford University Press on behalf of the American Academy of Pain Medicine. 2016. This work is written by US Government employees and is in the public domain in the US.
OBJECTIVE: This study aims to determine 1) the epidemiology of perioperative opioid use; and 2) the association between patterns of preoperative opioid use and time-to-cessation of postoperative opioids. DESIGN: Retrospective, cohort study. SETTING: National, population-level study of Veterans Healthcare Administration (VHA) electronic clinical data. SUBJECTS: All VHA patients (n = 64,391) who underwent surgery in 2011, discharged after stays of ≥1 day, and receiving ≥1 opioid prescription within 90 days of discharge. METHODS:Patients' preoperative opioid use were categorized as 1) no opioids, 2) tramadol only, 3) short-acting (SA) acute/intermittent (≤ 90 days fill), 4) SA chronic (> 90 days fill), or 5) any long-acting (LA). After defining cessation as 90 consecutive, opioid-free days, the authors calculated time-to-opioid-cessation (in days), from day 1 to day 365, after hospital discharge. The authors developed extended Cox regression models with a priori identified predictors. Sensitivity analyses used alternative cessation definitions (30 or 180 consecutive days). RESULTS: Almost 60% of the patients received preoperative opioids: tramadol (7.5%), SA acute/intermittent (24.1%), SA chronic (17.5%), and LA (5.2%). For patients opioid-free preoperatively, median time-to-cessation of opioids postoperatively was 15 days. The SA acute/intermittent cohort (HR =1.96; 95% CI =1.92-2.00) had greater risk for prolonged time-to-cessation than those opioid-free (reference), but lower risk than those taking tramadol only, SA chronic (HR = 9.09; 95% CI = 8.33-9.09), or LA opioids (HR = 9.09; 95% CI = 8.33-10.00). Diagnoses of chronic pain, substance-use, or affective disorders were weaker positive predictors. Sensitivity analyses maintained findings. CONCLUSION: Greater preoperative levels of opioid use were associated with progressively longer time-to-cessation postoperatively. Published by Oxford University Press on behalf of the American Academy of Pain Medicine. 2016. This work is written by US Government employees and is in the public domain in the US.
Entities:
Keywords:
Cessation; Long-Acting Opioids; Perioperative; Pharmacoepidemiology; Short-Acting Opioids; Surgery
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