Development and validation of a predictive model for persistent opioid use in new opioid analgesic users via a nationwide claims database

BACKGROUND

Chronic opioid use is associated with problematic opioid use, such as opioid abuse. It is important to develop a prediction model for safe opioid use. In this study, we aimed to develop and validate a risk score model for chronic opioid use in opioid-naïve, noncancer patients, using data from a nationwide database.

METHODS

Data from the National Health Insurance Claims Database in the Republic of Korea from 2016 to 2018 were used, and adult, noncancer patients who were started on non-injectable opioid analgesics (NIOAs) were included. The risk score model was developed using the β coefficient of each variable in the multivariable logistic regression analysis.

RESULTS

Overall, 676,676 noncancer patients were started on NIOAs, of which 65,877 (9.7%) were prescribed NIOAs chronically. Age, baseline healthcare utilization, comorbidities, co-medications, and pattern of first NIOA prescription were identified as risk factors for chronic opioid use. The c-static for the performance of our risk score model was 0.754 (95% confidence interval, 0.750-0.758).

CONCLUSION

To our knowledge, this is the first tool that can predict chronic opioid use in the Korean population. The model can help physicians examine the risk of chronic opioid use by patients who are started on NIOA.

Chronic opioid users with dysphagia are indistinguishable from symptomatic nonusers on functional lumen imaging probe evaluation

BACKGROUND

Opioid-induced esophageal dysmotility (OIED) includes spastic esophageal motility disorders, increasingly recognized in the contemporary opioid epidemic. We assessed functional lumen imaging probe (FLIP) findings in diagnosing OIED.

METHODS

Symptomatic patients undergoing FLIP with no prior foregut surgery who completed validated questionnaires were identified and segregated into chronic opioid users and nonusers in this cohort study. Esophagogastric junction (EGJ) distensibility index (DI), EGJ diameter, and esophageal body contraction patterns were extracted. Symptom profiles were compared to FLIP findings between chronic opioid users and nonusers. Outcome was evaluated in a subset using the same validated questionnaires.

RESULTS

Over the 18-months study period, of 116 patients (median age 62 years, 70.7% female), 33 (28.4%) were chronic opioid users, with median morphine milligram equivalent of 30 mg. While presenting symptoms were similar, chronic opioid users reported higher perceptive symptoms (p = 0.008) and worse quality of life (p = 0.01) compared to nonusers. Median DI trended lower in chronic opioid users (p = 0.08), with more retrograde repetitive contractions (p < 0.001) and less absent contractility (p = 0.007), but final FLIP diagnoses were similar compared to nonusers. There was no correlation between opioid dose and FLIP metrics. In the subset with follow-up, perceptive symptoms trended higher in chronic opioid users (p = 0.08), but symptom improvement following therapy was similar in both groups.

CONCLUSIONS & INFERENCES

Symptomatic chronic opioid users have FLIP diagnoses that are similar to nonusers, despite higher perceptive symptoms and worse quality of life. Dominant symptoms improve both in chronic opioid users and nonusers following treatment directed by FLIP.

Association between long-term opioid use and cancer risk in patients with chronic pain: a propensity score-matched cohort study

BACKGROUND

Whether long-term opioid use is an independent risk factor for cancer progression remains unclear. Therefore, we conducted a propensity score-matched population-based cohort study to compare cancer incidence between patients with chronic pain with and without opioid use.

METHODS

Data from January 2008 to December 2019 were obtained from the Taiwan National Health Insurance Research Database. Patients were categorised into two groups according to the presence or absence of opioid use, and matched at a 4:1 ratio. The incidence rate ratios for specific cancers were determined.

RESULTS

Propensity score-matching yielded 63 610 patients: 50 888 with opioid use (the opioid group) and 12 722 without (the non-opioid group). In a multivariate Cox regression analysis, the adjusted hazard ratio (95% confidence interval) for cancers in the opioid group compared with the non-opioid group was 2.66 (1.44-2.94; P<0.001). The incidence rate ratios (95% confidence interval) for lung, hepatocellular, colorectal, breast, prostate, head and neck, pancreatic, gastric, oesophageal, and ovarian cancers for the opioid group were 1.87 (1.41-2.43), 1.97 (1.56-2.50), 2.39 (1.87-3.03), 2.43 (1.75-3.33), 2.00 (1.35-3.03), 1.79 (1.14-2.86), 1.87 (1.13-2.12), 2.43 (1.52-3.85), 1.82 (0.92-3.70), and 2.33 (1.01-5.55), respectively.

CONCLUSION

There was an association between long-term opioid use and development of cancer in patients with chronic pain, which should be confirmed in future studies.

Incidence and risk factors of chronic opioid use after sleep apnea surgery

STUDY OBJECTIVES

To assess the incidence and risk factors of chronic opioid use after OSA surgery.

METHODS

Using IBM MarketScan research database, adults (>18) who underwent a variety of sleep surgery procedures between 2007 and 2015, were identified. Subjects with one year of insurance coverage before and after the surgical procedure were included. Additional anesthesia event(s) in the year following the procedure of interest, and those who filled an opioid prescription within the year prior to surgery (not naïve) were excluded. Outcomes included rates of persistent opioid use (additional opioid prescriptions filled 90-180 days postoperatively), prolonged use (additional opioid prescriptions filled 181-365 days postoperatively) and inappropriate use (>100 MME). Evaluated variables include demographics, surgical procedures, and comorbidities.

RESULTS

A total of 10,766 surgical procedures met inclusion criteria. There was a trend of increased rates of perioperative opioid prescription. After multivariable logistic regression analysis, perioperative opioid prescription and smoking were independent risk factors for inappropriate opioid use (OR= 31.51, p<0.001; OR= 1.41, p=0.016 respectively). Opioid prescription and hypertension were independent risk factors for persistent opioid use (OR=37.8, p<0.001, OR=1.38, p=0.008). Perioperative opioid prescription, previous opioid dependence diagnosis, smoking and male gender were associated with continuous prolonged opioid use (OR=73.1, 8.13, 1.95, 1.55, respectively; p<0.001, 0.020, 0.024, 0.032, respectively).

CONCLUSIONS

While efforts by different societies are being implemented to control the opioid crisis, we found that perioperative opioid prescription for airway surgery targeting OSA is an independent risk factor for persistent, prolonged, and inappropriate opioid use.

Effect of Perioperative Opioid Use on Patients Undergoing Hip Arthroscopy

Background

Opioids are commonly used to treat postoperative pain; however, guidelines vary regarding safe opioid use after hip arthroscopy.

Purpose/Hypothesis

The purposes were to (1) identify risk factors for persistent opioid use, (2) assess the effect of opioid use on outcomes, and (3) describe common opioid prescribing patterns after hip arthroscopy. It was hypothesized that preoperative opioid use would affect complication rates and result in greater postoperative opioid use.

Study Design

Case-control study; Level of evidence 3.

Methods

The Utah State All Payer Claims Database was queried for patients who underwent hip arthroscopy between January 2013 and December 2017. Included were patients ≥14 years of age at index surgery with continuous insurance. Patients were separated into acute (<3 months) and chronic (≥3 months) postoperative opioid use groups. Primary outcomes included revision surgery, complications (infection, pulmonary embolism/deep venous thrombosis, death), emergency department (ED) visits, and hospital admissions. Multivariate logistic regression was utilized to identify factors associated with the outcomes.

Results

Included were 2835 patients (mean age, 47 years; range, 14-64 years), of whom 2544 were in the acute opioid use and 291 were in the chronic opioid use group. Notably, 91% of the patients in the chronic group took opioid medications preoperatively, and they were more than twice as likely to carry a mental health diagnosis (P < .01). Patients in the acute group had a significantly shorter initial prescription duration, took fewer opioid pills, and had fewer refills than those in the chronic group (P < .01 for all). Patients in the chronic group had a significantly higher risk of postoperative ED visits (odds ratio [OR], 2.76; P = .008), hospital admission (OR, 3.02; P = .002), and additional surgery (P = .003), as well as infection (OR, 2.55; P < .001) and hematoma (OR, 2.43; P = .030). Patients who had used opioids before hip arthroscopy were more likely to need more refills (P < .01). A formal opioid use disorder diagnosis correlated significantly with postoperative hospital admissions (OR, 3.83; P = .044) and revision hip arthroscopy (OR, 4.72; P = .003).

Conclusion

Mental health and substance use disorders were more common in patients with chronic postoperative opioid use, and chronic postoperative opioid use was associated with greater likelihood of postoperative complications. Preoperative opioid use was significantly correlated with chronic postoperative opioid use and with increased refill requests after index arthroscopy.

Trajectories of Prescription Opioid Utilization During Pregnancy Among Prepregnancy Chronic Users and Risk of Neonatal Opioid Withdrawal Syndrome

Little is known about the impact of dose, duration, and timing of prenatal prescription opioid exposure on the risk of neonatal opioid withdrawal syndrome (NOWS). Using a cohort of 18,869 prepregnancy chronic opioid users nested within the 2000-2014 Medicaid Analytic eXtract, we assessed average opioid dosage within biweekly gestational age intervals, created group-based trajectory models, and evaluated the association between trajectory groups and NOWS risk. Women were grouped into 6 distinct opioid use trajectories which, based on observed patterns, were categorized as 1) continuous very low-dose use, 2) continuous low-dose use, 3) initial moderate-dose use with a gradual decrease to very low-dose/no use, 4) initial high-dose use with a gradual decrease to very low-dose use, 5) continuous moderate-dose use, and 6) continuous high-dose use. Absolute risk of NOWS per 1,000 infants was 7.7 for group 1 (reference group), 28.8 for group 2 (relative risk (RR) = 3.7, 95% confidence interval (CI): 2.8, 5.0), 16.5 for group 3 (RR = 2.1, 95% CI: 1.5, 3.1), 64.9 for group 4 (RR = 8.4, 95% CI: 5.6, 12.6), 77.3 for group 5 (RR = 10.0, 95% CI: 7.5, 13.5), and 172.4 for group 6 (RR = 22.4, 95% CI: 16.1, 31.2). Trajectory models-which capture information on dose, duration, and timing of exposure-are useful for gaining insight into clinically relevant groupings to evaluate the risk of prenatal opioid exposure.

Physical therapists should play a greater role in managing patients with opioid use and opioid misuse

The U.S. opioid crisis necessitates that health care providers of all types work collaboratively to manage patients taking prescription opioid medications and manage those who may be misusing prescription opioids. Musculoskeletal conditions are the most common diagnoses associated with an opioid prescription. Physical therapists commonly manage patients with musculoskeletal conditions and chronic pain. Some patients who attend physical therapy for pain management take prescription opioid medications for pain and some of these patients may be misusing prescription opioids. Physical therapists who manage patients with musculoskeletal conditions are well-positioned to help address the opioid crisis. Historically, physical therapists have not been adequately engaged in efforts to manage persons with co-occurring musculoskeletal pain and opioid misuse or OUD. The American Physical Therapy Association (APTA) has emphasized physical therapy over the use of prescription opioids for the management of painful conditions. The APTA, however, does not highlight the important role that physical therapists could play in monitoring opioid use among patients receiving treatment for pain, nor the role that physical therapists should play in screening for opioid misuse. Such screening could facilitate referral of patients suspected misuse to an appropriate provider for formal assessment and treatment. This commentary presents simulated musculoskeletal patient presentations depicting 2 common opioid use states; chronic opioid use and opioid misuse. The cases highlight and interactions that physical therapists could have with these patients and actions that the physical therapist could take when working inter-disciplinarily. Recommendations are provided that aim to increase physical therapists' knowledge and skills related to managing patients taking prescription opioid medications for pain.

Long-Term Opioid Use in Post-Surgical Management of Patients With Head and Neck Cancer

OBJECTIVE

This study aims to identify clinical and socioeconomic factors associated with long-term, post-surgical opioid use in the head and neck cancer population.

METHODS

A single center retrospective study was conducted including patients diagnosed with head and neck cancer between January 1, 2014 and July 1, 2019 who underwent primary surgical management. The primary outcome measure was continued opioid use 6 months after treatment completion. Both demographic and cancer-related variables were recorded to determine what factors were associated with prolonged opioid use. Univariate analysis was performed using chi-squared test for categorical variables and 2-sample t-test for continuous variables. Multivariate analysis was performed using logistic regression.

RESULTS

A total of 359 patients received primary surgical management. Forty-five patients (12.53%) continued to take opioids 6 months after treatment completion. Using univariate analysis, patients less than 65 years of age (P = .0126), adjuvant chemoradiation (n = 25, P < .001), and overall length of hospital stay (8.60 ± 8.58 days, P = .0274) were significantly associated with long term opioid use. Multivariate logistic regression showed that adjuvant chemoradiation (OR = 3.446, 95% CI [1.742, 6.820], P = .0004) and overall length of hospital stay (OR = 0.949, 95% CI [0.903, 0.997], P = .0373) to be significantly associated with opioid use 6 months after head and neck cancer treatment.

CONCLUSION

Long-term postoperative opioid use in head and neck cancer patients is significantly associated with adjuvant chemoradiation, and patients with longer length of hospital stay. Therefore, future research should focus on interventions to better manage opioid use during the acute treatment period to decrease long-term use.

Chronic opioid use and complication risks in women with endometriosis: A cohort study in US administrative claims

Background

Women with endometriosis are prescribed opioids for pain relief but may be vulnerable to chronic opioid use given their comorbidity profile.

Methods

A cohort study was conducted in the Clinformatics™ DataMart database between 2006 and 2017 comparing women aged 18–50 years with endometriosis (N = 36 373) to those without (N = 2 172 936) in terms of risk of chronic opioid use, opioid dependence diagnosis, and opioid overdose. Chronic opioid use was defined as ≥120 days' supply dispensed or ≥10 fills of an opioid during any 365‐day interval. Among women with endometriosis, we evaluated factors associated with higher risk of chronic opioid use and quantified the risk of complications associated with the use of opioids.

Results

Women with endometriosis were at greater risk for chronic opioid use (OR: 3.76; 95%CI: 3.57–3.96), dependence (OR: 2.73, 95%CI: 2.38–3.13) and overdose (OR: 4.34, 95%CI: 3.06–6.15) compared to women without. Chronic users displayed dose escalation and increase in days supplied over time, as well as co‐prescribing with benzodiazepines and sedatives. Approximately 34% of chronic users developed constipation, 20% experienced falls, and 8% reported dizziness. Among endometriosis patients, women in younger age groups, those with other comorbidities associated with pain symptoms, as well as those with depression or anxiety were at a higher risk of developing chronic opioid use.

Conclusions

Women with endometriosis had a four times greater risk of chronic opioid use compared to women without. Multimorbidity among these patients was associated with the elevated risk of chronic opioid use and should be taken into account during treatment selection.

Drivers of in-hospital opioid consumption in patients undergoing lumbar fusion surgery

Background

With the current opioid crisis, as many as 38% of patients are still on opioids one year after elective spine surgery. Identifying drivers of in-hospital opioid consumption may decrease subsequent opioid dependence. We aimed to identify the drivers of in-hospital opioid consumption in patients undergoing 1-2-level instrumented lumbar fusions.

Methods

This is a retrospective cohort study. Electronic medical record analysts identified consecutive patients undergoing 1-2 level instrumented lumbar fusions for degenerative lumbar conditions from 2016 to 2018 from a single-center hospital administrative database. Oral, intravenous, and transdermal opioid dose administrations were converted to morphine milligram equivalents (MME). Linear regression analysis was used to determine associations between postoperative day (POD) 4 cumulative in-hospital MMEs and the patients' baseline characteristics including body mass index (BMI), race, American Society of Anesthesiologists (ASA) grade, smoking status, marital status, insurance type, zip code, number of fused levels, approach and preoperative opioid use.

Results

A total of 1,502 patients were included. The mean cumulative MMEs at POD 4 was 251.5. Linear regression analysis yielded four drivers including younger age, preoperative opioid use, current smokers and more levels fused. There were no associations with surgical approach, zip code, ASA grade, marital status, BMI, race or insurance type.

Conclusions

Use of preoperative opioids and smoking are modifiable risk factors for higher in-hospital opioid consumption and can be targets for intervention prior to surgery in order to decrease in-hospital opioid use.

Chronic opioid use is associated with early biologic discontinuation in inflammatory bowel disease

BACKGROUND

Chronic opioid use is associated with poorer clinical outcomes in inflammatory bowel disease.

AIMS

To investigate an association between chronic opioid use and persistence with biologic agents in management of inflammatory bowel disease.

METHODS

A total of 16 624 patients diagnosed with inflammatory bowel disease and receiving a first-time biologic prescription from 2011 to 2016 were identified retrospectively from the Truven MarketScan Database. A cohort of 1768 patients were identified as chronic opioid users utilising outpatient prescription claims. Utilisation patterns of biologic therapies were assessed from inpatient administration and outpatient claims data, including persistence calculations. Information on healthcare utilisation and common comorbidities was also collected. A Cox regression model was constructed to assess the hazard of chronic opioid use on early discontinuation of biologic therapy controlling for disease severity.

RESULTS

A mean 1.5 different biologic agents were utilised by inflammatory bowel disease patients with chronic opioid use (vs 1.37 in the comparator group; P < 0.0001). A lower proportion of the chronic opioid use cohort persisted on biologic therapies to the end of the study period (16.2% vs 33.5% P < 0.0001). Inflammatory bowel disease patients with chronic opioid use utilised more healthcare resources and had a higher rate of comorbidities than the reference cohort. Patients with chronic opioid use were 23% more likely (hazard ratio 1.23; 95% CI [1.16-1.31]) to be non-persistent with biologic therapy while accounting for relevant markers of disease acuity.

CONCLUSIONS

Chronic opioid use is associated with increased hazard of biologic discontinuation in inflammatory bowel disease. Symptoms of opioid withdrawal may mimic IBD flares thereby leading providers to inappropriately switch biologic therapies and compromise disease control.

Chronic Opioid Therapy: A Scoping Literature Review on Evolving Clinical and Scientific Definitions

The management of chronic noncancer pain (CNCP) with chronic opioid therapy (COT) is controversial. There is a lack of consensus on how COT is defined resulting in unclear clinical guidance. This scoping review identifies and evaluates evolving COT definitions throughout the published clinical and scientific literature. Databases searched included PubMed, Embase, and Web of Science. A total of 227 studies were identified from 8,866 studies published between January 2000 and July 2019. COT definitions were classified by pain population of application and specific dosage/duration definition parameters, with results reported according to PRISMA-ScR. Approximately half of studies defined COT as "days' supply duration >90 days" and 9.3% defined as ">120 days' supply," with other days' supply cut-off points (>30, >60, or >70) each appearing in <5% of total studies. COT was defined by number of prescriptions in 63 studies, with 16.3% and 11.0% using number of initiations or refills, respectively. Few studies explicitly distinguished acute treatment and COT. Episode duration/dosage criteria was used in 90 studies, with 7.5% by Morphine Milligram Equivalents + days' supply and 32.2% by other "episode" combination definitions. COT definitions were applied in musculoskeletal CNCP (60.8%) most often, and typically in adults aged 18 to 64 (69.6%). The usage of ">90 days' supply" COT definitions increased from 3.2 publications/year before 2016 to 20.7 publications/year after 2016. An increasing proportion of studies define COT as ">90 days' supply." The most recent literature trends toward shorter duration criteria, suggesting that contemporary COT definitions are increasingly conservative. PERSPECTIVE: This study summarized the most common, current definition criteria for chronic opioid therapy (COT) and recommends adoption of consistent definition criteria to be utilized in practice and research. The most recent literature trends toward shorter duration criteria overall, suggesting that COT definition criteria are increasingly stringent.

Perioperative Serum 25-Hydroxyvitamin D Levels as a Predictor of Postoperative Opioid Use and Opioid Use Disorder: a Cohort Study

IMPORTANCE

Vitamin D deficiency is associated with chronic pain syndromes and higher opioid use among cancer patients, but its association with opioid use among opioid-naïve subjects following a major surgical procedure with acute pain has not been explored.

OBJECTIVE

To determine the association between serum 25-hydroxyvitamin D (25(OH)D) levels, opioid use, and opioid use disorder.

METHODS

We identified commercially insured subjects aged 18-64 years with available perioperative serum 25-hydroxyvitamin D (25D) levels who underwent one of nine major surgical procedures in 2000-2014. Primary outcomes were dose and duration of opioid use measured using pharmacy claims. Secondary outcome was opioid use disorder captured using diagnosis codes. Multivariable negative binomial models with generalized estimating equations were performed examining the association between 25D levels and postoperative opioid use measures, adjusting for age, sex, race/ethnicity, Charlson score, education, income, latitude, and season of blood draw. Adjusted Cox regression was used to examine the association with opioid use disorder.

RESULTS

Among 5446 subjects, serum 25(OH)D was sufficient (≥ 20 ng/mL) among 4349 (79.9%) subjects, whereas 837 (15.4%) had insufficient (12 to < 20 ng/mL) and 260 (4.8%) had deficient (< 12 ng/mL) levels. On multivariable analysis, as compared with subjects with sufficient 25(OH)D levels, subjects with deficient 25(OH)D levels had 1.7 more days (95% CI 0.76, 2.58) of opioid use per year and had 98.7 higher morphine milligram equivalent dose (95% CI 55.7, 141.8) per year. Among 11,713 study cohort, subjects with deficient 25(OH)D levels were more likely to be diagnosed with opioid use disorders (HR 2.41; 95% CI 1.05, 5.52).

CONCLUSION

Patients undergoing common surgical procedures with deficient 25D levels are more likely to have higher opioid use and an increased risk of opioid use disorder compared to those with sufficient levels. Serum 25D levels may serve as a biomarker to identify subjects at increased risk of opioid misuse.

Increased Use of Intra-Articular Steroid Injection to Treat Osteoarthritis is Associated With Chronic Opioid Dependence After Later Total Knee Arthroplasty But Not Total Hip Arthroplasty

BACKGROUND

Intra-articular (IA) injections of corticosteroid (CO) and hyaluronic acid (HA) are commonly used for osteoarthritis. The efficacy of these interventions is controversial. Furthermore, research regarding the potential association of IA injection with later postoperative pain trajectories is lacking.

METHODS

We performed analysis on Truven Health MarketScan database (2012-2016) in total hip arthroplasty (THA) and total knee arthroplasty (TKA). Trends over time were assessed. Multivariable logistic regression analyses were executed to evaluate the impact of IA injections on postoperative chronic opioid use.

RESULTS

Preoperative CO and HA injections decreased throughout the study period in both THA and TKA. Preoperative CO and HA injections, regardless of frequency, had no significant impact on the odds of THA patients becoming chronic opioid users postoperatively. TKA patients who had 1 CO injection in the year before surgery experienced lower odds of postoperative chronic opioid use (odds ratio [OR], 0.89; 95% confidence interval [95% CI], 0.82-0.97), whereas patients who had 2 or more CO injections experienced significantly greater odds (OR, 1.14; 95% CI, 1.04-1.24). TKA patients who received 2 or more HA injections before surgery had significantly lower odds of chronic opioid use (OR, 0.90; 95% CI, 0.81-0.99).

CONCLUSION

The utilization of IA injections in patients with hip and knee osteoarthritis appears to be decreasing over time. TKA patients who received 2 or more preoperative CO injections experienced greater odds of chronic opioid utilization, whereas TKA patients with 2 or more HA injections in the year before surgery had decreased odds of chronic opioid use.

The Opioid-Tolerant Patient: Opioid Optimization

Chronic opioid use and abuse continue to plague our country despite efforts to curtail their use. Patients on chronic opioids (opioids tolerant) who undergo total joint arthroplasty have been clearly shown to have higher rates of complications, infection, and early revision compared to the opioid-naïve patients. The ability to successfully wean patients off of narcotics before surgery remains challenging and fragmented at best. The utilization of a multidisciplinary team that assists with not only preoperative opioids reduction but also postoperative opioids management is critical to the successful management of these patients. This symposium focuses on the opioid-tolerant patients and a comprehensive approach to opioids optimization.

Chronic opioid use in women following hysterectomy: Patterns and predictors

BACKGROUND

Most women are prescribed an opioid after hysterectomy. The goal of this study was to determine the association between initial opioid prescribing characteristics and chronic opioid use after hysterectomy.

METHODS

This study included women enrolled in a commercial health plan who had a hysterectomy between 1 July 2010 and 31 March 2015. We used trajectory models to define chronic opioid use as patients with the highest probability of having an opioid prescription filled during the 6 months post-surgery. A multivariable logistic regression was applied to examine the association between initial opioid dispensing (amount prescribed and duration of treatment) and chronic opioid use after adjusting for potential confounders.

RESULTS

A total of 693 of 50 127 (1.38%) opioid-naïve women met the criteria for chronic opioid use following hysterectomy. The baseline variables and initial opioid prescription characteristics predicted the pattern of long-term opioid use with moderate discrimination (c statistic = 0.70). Significant predictors of chronic opioid use included initial opioid daily dose (≥60 MME vs <40 MME, aOR: 1.43, 95% CI: 1.14-1.79) and days' supply (4-7 days vs 1-3 days, aOR: 1.28, 95% CI: 1.06-1.54; ≥8 days vs 1-3 days, aOR: 1.41, 95% CI: 1.05-1.89). Other significant baseline predictors included older age, abdominal or laparoscopic/robotic hysterectomy, tobacco use, psychiatric medication use, back pain, and headache.

CONCLUSION

Initial opioid prescribing characteristics are associated with the risk of chronic opioid use after hysterectomy. Prescribing lower daily doses and shorter days' supply of opioids to women after hysterectomy may result in lower risk of chronic opioid use.

Chronic Opioid Use after Laryngeal Cancer Treatment: A VA Study

OBJECTIVE

To investigate opioid utilization in veterans undergoing laryngeal cancer treatment and describe the risk of chronic use after treatment cessation.

STUDY DESIGN

A retrospective cohort study.

SETTING

A single Veterans Health Administration site.

SUBJECTS AND METHODS

Veterans with newly diagnosed and treated laryngeal cancer with attributable opioid use from 2005 to 2015. Milligram morphine equivalents (MMEs) were calculated from 90 days prior to diagnosis for up to 1 year. Adjuvant pain medications filled 30 days prior to and up to a year from the date of diagnosis were assessed.

RESULTS

Of 74 veterans with biopsy-proven laryngeal carcinoma, 73 (98.6%) were male and 71 (96%) were white. Forty-three (58%) patients were stage 0/I/II; 31 (42%) were III/IV. Eleven (14.9%) were treated with surgery alone, 35 (47.3%) with radiation alone, and 28 (38%) with multimodal therapy. Twenty-four (32.4%) patients had preexisting opioid use prior to cancer diagnosis. Patients who used opioids more than 30 days prior to date of diagnosis were found to be 10 times more likely to have persistent opioid use at 90 days (P = .0024) and 8 times more likely to have chronic use at 360 days (P = .0041). Maximum MMEs within 1 year of diagnosis were significantly associated with chronic use at 90 days (P = .00045) and chronic use at 360 days (P = .0006).

CONCLUSION

Preexisting opioid use and maximum MMEs are strongly associated with chronic opioid use among veterans treated for laryngeal carcinoma independent of stage and treatment type.

Stated Pain Levels, Opioid Prescription Volume, and Chronic Opioid Use Among United States Army Soldiers

INTRODUCTION

The use of opioids has increased drastically over the past few years and decades. As a result, concerns have mounted over serious outcomes associated with chronic opioid use (COU), including dependency and death. A greater understanding of the factors that are associated with COU will be critical if prescribers are to navigate potentially competing objectives to provide compassionate care, while reducing the overall opioid use problem. In this study, we study pain levels and opioid prescription volumes and their effects on the risk of COU.This study leveraged passive data sources that support automated decision support systems (DSSs) currently employed in a large military population. The models presented compute monthly, person-specific, adjusted probability of subsequent COT and could potentially provide critical decision support for clinicians engaged in pain management.

MATERIALS AND METHODS

The study population included all outpatient presentations at military medical facilities worldwide among active duty United States Army soldiers during July 2011 to September 2014 (17,664,006 encounters; population N = 552,193). We conducted a retrospective cohort study of this population and employed longitudinal data and a discrete time multivariable logistic regression model to compute COT probability scores. The contribution of pain scores and opioid prescription quantities to the probability of COT represented analytic foci.

RESULTS

There were 13,891 subjects (2.5%) who experienced incident COT during the observed time period. Statistically significant interactions between pain scores and prescription quantity were present, in addition to effects of multiple other control variables. Counts of monthly opioid prescriptions and maximum stated pain scores per month were each positively associated with COT. A wide range in individual COT risk scores was evident. The effect of prescription volume on the COT risk was larger than the effect of the pain score, and the combined effect of larger pain scores and increased prescription quantity was moderated by the interaction term.

CONCLUSIONS

The results verified that passive data on the US Army can support a robust COT risk computation in this population. The individual, adjusted risk level requires statistical analyses to be fully understood. Because the same data sources drive current military DSSs, this work provides the potential basis for new, evidence-based decision support resources for military clinicians. The strong, independent impact of increasing opioid prescription counts on the COT risk reinforces the importance of exploring alternatives to opioids in pain management planning. It suggests that changing provider behavior through enhanced decision support could help reduce COT rates.

New Persistent Opioid Use and Associated Risk Factors Following Treatment of Ankle Fractures

BACKGROUND

The aim of this study was to define the rate of new persistent opioid use and risk factors for persistent opioid use after operative and nonoperative treatment of ankle fractures.

METHODS

Using a nationwide insurance claims database, Clinformatics DataMart Database, we identified opioid-naïve patients who underwent surgical treatment of unstable ankle fracture patterns between January 2009 and June 2016. Patients who underwent closed treatment of a distal fibula fracture served as a comparative group. We evaluated peritreatment and posttreatment opioid prescription fills. The primary outcome, new persistent opioid use, was defined as opioid prescription fulfillment between 91 and 180 days after the procedure. Logistic regression was used to evaluate the effect of patient factors, and the differences of the effect were tested using Wald statistics. The adjusted persistent use rates were calculated. A total of 13 088 patients underwent treatment of an ankle fracture and filled a peritreatment opioid prescription.

RESULTS

When compared with closed treatment of a distal fibula fracture, only 2 surgical treatment subtypes demonstrated significantly increased rates of persistent use compared with the closed treatment group: open treatment of bimalleolar ankle fracture (adjusted odds ratio [aOR], 1.32; 95% CI, 1.10-1.58; P = .002) and open treatment of trimalleolar ankle fracture with fixation of posterior lip (aOR, 1.47; 95% CI, 1.04-2.07; P = .027). Rates were significantly increased (aOR, 1.56; 95% CI, 1.34-1.82; P < .001) among patients who received a total peritreatment opioid dose that was in the top 25th percentile of total oral morphine equivalents. Factors independently associated with new persistent opioid use included mental health disorders, comorbid conditions, tobacco use, and female sex.

CONCLUSION

All ankle fracture treatment groups demonstrated high rates of new persistent opioid use, and persistent use was not directly linked to injury severity. Instead, we identified patient factors that demonstrated increased risk of persistent opioid use. Limiting the peritreatment opioid dose was the largest modifiable risk factor related to new persistent opioid use in this privately insured cohort.

LEVEL OF EVIDENCE

Level III, retrospective cohort study.

Impact of Medical Marijuana Legalization on Opioid Use, Chronic Opioid Use, and High-risk Opioid Use

OBJECTIVE

To determine the association of medical marijuana legalization with prescription opioid utilization.

METHODS

A 10% sample of a nationally representative database of commercially insured population was used to gather information on opioid use, chronic opioid use, and high-risk opioid use for the years 2006-2014. Adults with pharmacy and medical benefits for the entire calendar year were included in the population for that year. Multilevel logistic regression analysis, controlling for patient, person-year, and state-level factors, were used to determine the impact of medical marijuana legalization on the three opioid use measures. Sub-group analysis among cancer-free adults and cancer-free adults with at least one chronic non-cancer pain condition in the particular year were conducted. Alternate regression models were used to test the robustness of our results including a fixed effects model, an alternate definition for start date for medical marijuana legalization, a person-level analysis, and a falsification test.

RESULTS

The final sample included a total of 4,840,562 persons translating into 15,705,562 person years. Medical marijuana legalization was found to be associated with a lower odds of any opioid use: OR = 0.95 (0.94-0.96), chronic opioid use: OR = 0.93 (0.91-0.95), and high-risk opioid use: OR = 0.96 (0.94-0.98). The findings were similar in both the sub-group analyses and all the sensitivity analyses. The falsification tests showed no association between medical marijuana legalization and prescriptions for antihyperlipidemics (OR = 1.00; CI 0.99-1.01) or antihypertensives (OR = 1.00; CI 0.99-1.01).

CONCLUSIONS

In states where marijuana is available through medical channels, a modestly lower rate of opioid and high-risk opioid prescribing was observed. Policy makers could consider medical marijuana legalization as a tool that may modestly reduce chronic and high-risk opioid use. However, further research assessing risk versus benefits of medical marijuana legalization and head to head comparisons of marijuana versus opioids for pain management is required.

Definition development and prevalence of new persistent opioid use following hysterectomy

BACKGROUND

Opioids used for postoperative pain control after surgery have been associated with an increased risk of chronic opioid use. Hysterectomy is the most common major gynecological procedure in the United States; however, we lack a data-driven definition of new persistent opioid use specific to hysterectomy.

OBJECTIVE

The objectives of the study were as follows: (1) determine a data-driven definition of new persistent opioid use among opioid naïve women undergoing hysterectomy and (2) determine the prevalence of and risk factors for new persistent opioid use.

STUDY DESIGN

We used data from Optum Clinformatics that include both medical and pharmacy data from a single national private health insurer. Hysterectomies performed from Jan. 1, 2011, to Dec. 31, 2014, were identified using current procedural terminology and International Classification of Diseases, ninth revision, codes. Inclusion criteria included the following: age ≤63 years at hysterectomy, no opioid fills for 8 months preceding (excluding the 30 days immediately prior), and no additional surgical procedures within 6 months after hysterectomy. The perioperative period was defined as 30 days prior to 14 days after hysterectomy. Number of opioid prescription fills, days supplied, and total oral morphine equivalents were analyzed to determine the distribution of opioid use in the perioperative and postoperative periods. We obtained demographics including age, race, educational level, and division of the country according to the US Census Bureau and used International Classification of Diseases, ninth revision, diagnosis codes to identify hysterectomy indications, surgical route, chronic pain disorders, depression/anxiety, and substance abuse. Bivariate analyses were used to compare persistent with nonpersistent opioid users. A hierarchical logistic regression model controlling for regional variation was used to determine factors associated with new persistent opioid use following hysterectomy.

RESULTS

A total of 24,331 women were included in the analysis. New persistent opioid use was defined as follows: ≥2 opioid fills within 6 months of hysterectomy with ≥1 fill every 3 months and either total oral morphine equivalent ≥1150 or days supplied ≥39. Based on this definition, the prevalence of new persistent opioid use was 0.5% (n = 122). Median perioperative oral morphine equivalents prescribed to those who became new persistent users was 437.5 mg (interquartile range, 200-750) compared with 225 mg (interquartile range, 150-300) for nonpersistent users (P < .0001). Factors independently associated with new persistent opioid use included the following: increasing age (adjusted odds ratio, 1.04, 95% confidence interval, 1.01-1.06, P = .006), African-American race (reference: white, adjusted odds ratio, 1.61 95% confidence interval, 1.02-2.55, P = .04), gynecological malignancy (adjusted odds ratio, 7.61, 95% confidence interval, 3.35-17.27, P < .0001), abdominal route (adjusted odds ratio, 3.61, 95% confidence interval, 2.03-6.43, P < .0001), depression/anxiety (adjusted odds ratio, 2.62, 95% confidence interval, 1.71-4.02, P < .0001), and preoperative opioid fill (adjusted odds ratio, 2.76, 95% confidence interval, 1.87-4.07, P < .0001). The C-statistic for this model is 0.74.

CONCLUSION

Based on our definition, the prevalence of new persistent opioid use among opioid-naïve women undergoing hysterectomy is low; however, 2 potentially modifiable risk factors are preoperative opioid prescription and abdominal route of surgery.

Predictors of Transitioning to Incident Chronic Opioid Therapy Among Working-Age Adults in the United States

BACKGROUND

Opioids have been prescribed and used for chronic noncancer pain at prolific rates in the United States during the past 2 decades. Patients who transition to incident chronic opioid therapy are at increased risk for significant negative health consequences, including cardiovascular risk, endocrine disorders, opioid use disorder, and death.

OBJECTIVE

To identify the leading predictors associated with transitioning to incident chronic opioid therapy among working-age adults without cancer.

METHOD

This retrospective observational cohort study is based on medical and pharmacy claims of a nationally representative sample of adults enrolled in commercial health insurance plans. Standard parametric (logistic regressions) and nonparametric methods based on a decision tree were used for prediction. To facilitate comparison with the available published literature, we also present adjusted odds ratios (AORs) and 95% confidence intervals (CIs). The 10% random sample of 491,442 patients included in the study who were working-age adults (age, 28-63 years) were insured in a commercial health plan, did not have cancer, and initiated opioid therapy between January 2007 and May 2015. Transition to incident chronic opioid therapy was defined as having claims for at least a 90-day supply of opioids within 120 days after the index date (ie, initiation of opioid therapy). Predictive models used for the analysis comprised a comprehensive list of factors available in the claims data, including opioid regimen characteristics, pain conditions, physical and mental health conditions, concomitant medications use (ie, benzodiazepine, stimulants, nonopioid analgesics, and polypharmacy), patient characteristics, and health insurance type.

RESULTS

In our sample, the transition to incident chronic opioid therapy was 1.3% and pain-specific diagnoses were documented for only one-third (31.7%) of patients. The 4 leading predictors of chronic opioid therapy were opioid duration of action (AOR, 12.28; 95% CI, 8.06-18.72), the parent opioid compound (eg, tramadol vs codeine; AOR, 7.26; 95% CI, 5.20-10.13), the presence of conditions that are very likely to cause chronic pain (AOR, 5.47; 95% CI, 3.89-7.68), and drug use disorders (AOR, 4.02; 95% CI, 2.53-6.40).

CONCLUSION

The initial opioid regimen's characteristics are powerful predictors of chronic opioid therapy. Predictive algorithms created from readily available claims data can be used to develop real-time predictions of the future risk for a patient's transition to chronic opioid use.

Preoperative Chronic Opioid Users in Total Knee Arthroplasty-Which Patients Persistently Abuse Opiates Following Surgery?

BACKGROUND

Chronic opioid users pose a unique challenge for orthopedic surgeons, as they often report suboptimal outcomes following total knee arthroplasty (TKA). We aim at identifying risk factors associated with patients who were preoperative chronic opioid users and continued to use 6 months following TKA.

METHODS

All preoperative chronic opioid users among 338 consecutive TKA cases performed at our institution between February and June 2016 were identified and divided into 2 cohorts: patients who (1) persistently used opioids and (2) discontinued use by the 6-month time point following surgery. Baseline characteristics were compared between cohorts in order to determine risk factors for persistent opioid use following TKA.

RESULTS

Of the 338 patients, 53 (15.7%) were identified as preoperative chronic opioid users. Of these, 23 (43.4%) continued chronic opioid use 6 months following surgery, whereas 14 (4.9%) previously nonchronic users were identified as new chronic users at 6 months. Characteristics that were predictive of persistent opioid use included male gender, prior injury or surgery to the ipsilateral knee, current tobacco smoking status, and a history of psychiatric disorder. Opioid dose consumption of ≥12 mg/d morphine-equivalents over the 3 months leading up to surgery had an increased risk of persistent chronic opioid use by a factor of 6.

CONCLUSION

TKA candidates who have complicated medical, social, and surgical histories are at an increased risk of chronic opioid abuse postoperatively. By better understanding the risk factors associated with persistent chronic opioid use, targeted opioid reduction programs may be appropriately implemented to manage this high-risk population.

Chronic Use of Opioids Before and After Total Knee Arthroplasty: A Retrospective Cohort Study

BACKGROUND

Opioids are commonly used for the management of preoperative and postoperative pain among patients undergoing total knee arthroplasty (TKA). There is limited literature on the chronic use of opioids pre-TKA and post-TKA. The aim of this study was to characterize the use of opioids in TKA patients before and after surgery and identify risk factors of chronic opioid use.

METHODS

Opioid use among 15,020 patients undergoing TKA (01/01/2001-31/12/2012) was examined. Generalized estimating equations assessed change in total oral morphine equivalents pre-TKA and post-TKA, and logistic regression estimated risk factors of chronic opioid use.

RESULTS

Of the total sample, 7782 (52.0%) patients had at least 1 opioid (38.6% pre-TKA and 34.4% post-TKA). The most commonly prescribed opioids were oxycodone, codeine + acetaminophen, and tramadol. Pre-TKA, 720 (4.8%) patients were chronic opioid users, of which 241 (33.5%) stopped being chronic users after surgery and 479 (66.5%) continued but had a 16% reduction (incidence rate ratio = 0.84; 95% confidence interval, 0.78-0.90) in total oral morphine equivalents. Of the 5077 (33.8%) occasional opioid user pre-TKA, 2407 (47.4%) stopped after surgery. Compared to nonopioid users, chronic users were younger, were female, had more comorbidity, and had longer hospital stays. Older age was associated with ceasing chronic opioid use post-TKA.

CONCLUSION

There was a reduction in opioid use following TKA. Almost 50% of occasional users and more than 30% of chronic users pre-TKA ceased opioids postoperatively. There was a reduction in use for those chronic users who continued to take opioids postsurgery.

Chronic opioid use emerging after bariatric surgery

PURPOSE

Little is known about opioid use after bariatric surgery among patients who did not use opioids chronically before surgery. Our purpose was to determine opioid use the year after bariatric surgery among patients who did not use opioids chronically pre-surgery and to identify pre-surgery characteristics associated with chronic opioid use after surgery.

METHODS

This retrospective cohort study across nine US health systems included 10 643 patients aged 21 years or older who underwent bariatric surgery and who were not chronic opioid users pre-surgery. The main outcome was chronic opioid use the post-surgery year (excluding 30 post-operative days) defined as ≥10 dispensings over ≥90 days or ≥120 total days' supply.

RESULTS

Overall, 4.0% (n = 421) of patients became chronic opioid users the post-surgery year. Pre-surgery opioid total days' supply was strongly associated with chronic use post-surgery (1-29 days adjusted odds ratio [OR] 1.89 [95%CI, 1.24-2.88]; 90-119 days OR, 14.29 [95%CI, 6.94-29.42] compared with no days). Other factors associated with increased likelihood of post-surgery chronic use included pre-surgery use of non-narcotic analgesics (OR, 2.22 [95%CI, 1.39-3.54]), antianxiety agents (OR, 1.67 [95%CI, 1.12-2.50]), and tobacco (OR, 1.44 [95%CI, 1.03-2.02]). Older age (OR, 0.84 [95%CI, 0.73-0.97] each decade) and a laparoscopic band procedure (OR, 0.42 [95%CI, 0.25-0.70] vs. laparoscopic bypass) were associated with decreased likelihood of chronic opioid use post-surgery.

CONCLUSIONS

Most patients who became chronic opioid users the year after bariatric surgery used opioids intermittently before surgery.

Adaptive servoventilation in patients with central or complex sleep apnea related to chronic opioid use and congestive heart failure

STUDY OBJECTIVES

Adaptive servoventilation (ASV) is often used to treat central sleep apnea (CSA) and complex sleep apnea syndrome (CompSAS). Both CompSAS and CSA may occur in the setting of CHF and with the use of chronic opioids. We hypothesized that ASV would be less successful in treatment of CSA and CompSAS secondary to opioid use than in CHF patients.

METHODS

Consecutive patients were studied between January and December 2009 who underwent ASV titration for CSA or CompSAS due to CHF (defined as EF < 45%, or > 50% with evidence for diastolic dysfunction on echocardiogram) and chronic opioid users (defined by the use of opioids > 6 months).

RESULTS

Study included one hundred and eight patients with 77 males (71.3%) and 31 females (28.7%). Subjects had severe sleep apnea at baseline (AHI 45.6 ± 27.4) and inadequate control of sleep disordered breathing on CPAP (AHI 50.0 ± 32.2, CAI 36.6 ± 32). No significant differences were found between the groups in overall ASV success, defined as AHI < 10/h (p = 0.236). ASV was successful in 28 (59.6%) of those in the opioid group, compared to 43 (70.5%) of those in the CHF group. When ASV success was defined as AHI < 5/h at optimum EEP, there was again no significant difference between the groups (p-value = 0.812). Logistic regression showed unit increases in BMI, unit increases in HCO(3), and presence of CSR were each associated with decreased likelihood of ASV success.

CONCLUSION

We did not find a statistically significant difference in the effectiveness of ASV between CHF patients and chronic opioid users, with the overall success rate approaching 70%, as defined by an AHI < 10/h.

COMMENTARY

A commentary on this article appears in this issue on page 577.