Persistent Postoperative Opioid Use: A Systematic Literature Search of Definitions and Population-based Cohort Study

Long-term Outcomes of Persistent Postoperative Opioid Use: A Retrospective Cohort Study

OBJECTIVE

To determine the association between PPOU and the long-term risk of OUD and opioid overdose.

SUMMARY BACKGROUND DATA

PPOU is a commonly used outcome in the surgical literature; its incidence and risk factors have been well described. However, its association to long term outcomes, including OUD and opioid overdose, is unknown.

METHODS

A retrospective cohort study utilizing the Veterans Health Administration corporate data warehouse. Patients undergoing any surgery between January 1, 2008 and December 31, 2018 were included and followed until December 31, 2020. Univariate and multivariate survival analysis were used to determine the association between PPOU and OUD and overdose. Sensitivity analyses were conducted to determine the impact of different definitions of persistent opioid use and the effect of preoperative opioid use.

RESULTS

A total of 344,745 patients undergoing surgery were included and followed for a median of 6.18 years (IQR 3.53-9.12). PPOU was associated with an increased hazard of developing both OUD (HR = 1.88, CI: 1.81-1.95, P < 0.001) and overdose (HR = 1.83, CI: 1.72-1.94, P < 0.001). This association remained consistent after adjustment for comorbidities and across all sensitivity analyses.

CONCLUSIONS

Surgical patients who develop PPOU are at increased risk of both OUD and overdose as compared to surgical patients who do not develop persistent use.

Persistent opioid use after hospital admission due to trauma: a population-based cohort study

ABSTRACT

Persistent opioid use (POU) is a common marker of harm related to opioid use after trauma. This study determined the incidence and risk factors for POU after hospitalisation due to trauma in New Zealand, among opioid-naïve patients. This was a population-based, retrospective cohort study, using linked data, involving all trauma patients of any age admitted to all NZ hospitals between 2007 and 2019. We included all patients who received opioids after discharge and were considered opioid naïve, defined as not having received opioids or not having a prior diagnosis of opioid-use disorder up to 365 days preceding the discharge date. The primary outcome was the incidence of POU defined as opioid use after discharge between 91 and 365 days. We used a multivariable logistic regression to identify independent risk factors for POU. A total of 177,200 patients were included in this study. Of these, 15.3% (n = 27,060) developed POU based on criteria used for the primary analysis, with sensitivity analyses showing POU incidence ranging from 14.3% to 0.8%. The opioid exposure risk factors associated with POU included switching between different opioids (adjusted odds ratio [aOR] 2.62; 95% confidence interval [CI] 2.51-2.73), prescribed multiple opioids (vs codeine, aOR 1.44; 95% CI 1.37-1.53), slow-release opioid formulations (aOR 1.32; 95% CI 1.26-1.39), and dispensed higher total doses of on the initial discharge prescription (aOR 1.26; 95% CI 1.20-1.33). Overall, 1 in 7 opioid-naïve patients who were exposed to opioids after trauma developed POU. Our findings highlight clinicians should be aware of these factors when continuing opioids on discharge.

Effectiveness of Interventions to Reduce Opioid Use After Orthopaedic Surgery: A Systematic Review of Randomised Controlled Trials

BACKGROUND

The prescribing of opioids to patients for postoperative pain can lead to persistent opioid use. This review investigated the effectiveness of interventions aimed at reducing opioid use in patients after orthopaedic surgery.

METHODS

Electronic databases were searched from inception to November 2023. We included randomised controlled trials investigating interventions aimed at reducing opioid use after orthopaedic surgery. Two reviewers conducted the screening and data extraction and assessed the risk of bias (Cochrane Risk of Bias tool) and certainty of evidence (GRADE). The primary outcome was the mean daily dose of opioid analgesic medications in the medium term (1-3 months after randomisation). Results were pooled in a meta-analysis using a random-effects model where appropriate (e.g. I2 < 50%) or summarised narratively.

RESULTS

The search yielded 17,471 records, of which 39 trials were included. High heterogeneity meant that most comparisons could not be pooled. The mean daily dose was lower with multimodal analgesia interventions than with placebo/no intervention/usual care or active control in the medium term. No between-group differences were found between other pharmacological or non-pharmacological interventions and either placebo/no intervention/usual care or active control at the medium-term time point. The certainty of evidence ranged from low to moderate.

CONCLUSIONS

Multimodal analgesic interventions may reduce opioid use compared with placebo/no intervention/usual care or active control in the medium term. However, the high heterogeneity and low certainty of evidence means it is uncertain which interventions are effective in reducing opioid use after orthopaedic surgery.

Persistent and chronic opioid use after ambulatory surgery in US veterans (2011-2018)

BACKGROUND

Opioid use beyond the perioperative period is a recognized adverse outcome, primarily studied in inpatients after complex major surgeries. Our goals are to determine the risk after ambulatory surgery and identify risk factors associated with long-term opioid prescriptions.

METHODS

Our ambulatory surgery cohort included 1,393,332 veterans from October 1, 2011, to September 30, 2018 (fiscal year [FY] 12-18). Data included age, sex, race, rurality of patient residence and facility, body mass index, tobacco use, Charlson Comorbidity Index, psychiatric disorder, pain score at surgery, substance use, and medications (benzodiazepine, tricyclics and/or selective serotonin reuptake inhibitor and opioids in the 12 months previous).

RESULTS

In aggregate, 9.6% had 1 or more prescriptions in the 90-180 days after surgery ("Persistent prescription[s]") and 1.8% had more than 180 days of opioids in the 31-366 days after surgery ("Chronic prescriptions"). For persistent prescription(s), trends over time decreased from 12.5% in FY12 to 7.1% by FY18 (P < .001). Similarly chronic prescriptions decreased from 2.9% in FY12 to 0.8% in FY18 (P < .001). The strongest independent association for persistent and chronic prescriptions after ambulatory surgery was previous prescription opioids, with 2.8 times increased risk for persistent prescriptions (adjusted odds ratio, 2.8; 95% confidence interval, 2.8-2.9; P < .001) and 3.3 times increased risk for chronic opioid prescriptions (adjusted odds ratio, 3.3; 95% confidence interval, 3.2-3.4; P < .001).

CONCLUSIONS

Rates of persistent and chronic opioid prescriptions after ambulatory surgery in the Veterans Health Administration are small and decreasing over time. Providers and patients should have informed discussions regarding risks of opioid postoperative pain management strategies.

Prevalence of and risk factors associated with chronic opioid use after traumatic injury: A historical cohort study using the Korean National Health Insurance Service sample cohort data

Chronic opioid use (COU) after traumatic injuries is a global health concern. COU after trauma delays recovery and increases the risk of long-term drug dependence. However, the population-prevalence and factors associated with COU after traumatic injury in South Korea remain unclear. We aimed to estimate the prevalence of COU and associated risk factors in patients after trauma in South Korea. A historical cohort study using the population-representative database including 1,103,405 South Korean subjects, patients admitted due to a newly diagnosed trauma (n = 65,444) or nontraumatic etiologies (n = 338,321) from January 1, 2003, to June 30, 2015, were analyzed. COU was defined as the prescription of opioid in the first 3 to 6 months from the index date. Prevalence of COU was summarized. A multivariable logistic regression analysis was conducted to investigate association of COU with traumatic injuries, accounting for a priori sociodemographic and clinical risk factors. A total of 13.5% and 12.6% of patients were found to be chronic opioid users in the trauma and the control group, respectively. The adjusted odds ratio (aOR) (95% CI) of COU in the injured compared to the noninjured was 1.13 (1.01 to 1.16), when controlling for age group, sex, calendar year, area of residence, previous opioid use, comorbidity, surgery during the index admission and intensive care unit care. Risk factors included being aged 65 to 74 years (aOR = 2.87; 95% CI = 2.73 to 3.01), aged ≥ 75 years (aOR = 2.48; 95% CI = 2.35 to 2.62), and history of previous opioid use (aOR = 3.27; 95% CI = 3.21 to 3.34) were the most significant risk factors of COU, independent of injury. COU was prevalent both in the injured and noninjured patients, with slightly increased risk of COU in those sustaining traumatic injury compared to those who were noninjured. Further stud y to address prevalent COU in South Korea is required to avoid opioid-related harms.

Predicting Extent of Opioid Use Following Cardiac Surgery: A Pilot Study

OBJECTIVES

This study was designed to test whether a negative affect phenotype reflecting depression, anxiety, anger, and pain catastrophizing predicts inpatient and outpatient opioid use outcomes following cardiac surgery.

DESIGN

In a single-center prospective observational pilot study, the authors obtained validated measures of negative affect and opioid-related phenotype preoperatively and collected opioid use and opioid misuse-related outcomes at 30-day postoperative follow-up.

SETTING

Quaternary medical center.

PARTICIPANTS

The final dataset included 30 adult patients undergoing elective cardiac surgery procedures between August 19, 2022, and August 29, 2023.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Opioid outcomes included: (1) total inpatient postoperative opioid use (in milligram morphine equivalents), (2) self-reported number of days that prescribed outpatient opioids were used during the 30-day follow-up period (Timeline Followback method), and (3) number of opioid misuse-related behaviors (Current Opioid Misuse Measure-9) at 30-day follow-up. Generalized linear model analyses using a Poisson distribution indicated that greater preoperative depression, anxiety, anger, pain catastrophizing, and opioid misuse risk (indexed by the Screener and Opioid Assessment for Patients with Pain- Revised) were all significantly (p < 0.002) associated with greater inpatient and outpatient postoperative opioid use, as well as more opioid misuse-related behaviors at 30-day follow-up (p < 0.001).

CONCLUSIONS

Patients with higher preoperative levels of negative affect (depression, anxiety, anger, and pain catastrophizing) use more inpatient and outpatient opioid analgesics following cardiac surgery, a pattern similar to noncardiac surgery populations. Results support further study of patient-specific approaches to opioid prescribing to reduce the risk for opioid use disorder post-cardiac surgery.

Chronic Opioid Prescribing After Common Otolaryngology Procedures in Adults

OBJECTIVE

(1) Describe short and long-term opioid prescribing patterns and variation after common otolaryngologic procedures and (2) assess risk factors for chronic opioid use in this cohort.

STUDY DESIGN

Retrospective cohort.

SETTING

Optum's deidentified Integrated Claims-Clinical data set.

METHODS

An adult cohort of patients undergoing common otolaryngology procedures from 2010 to 2017 was identified. Associations between procedure and other covariates with any initial opioid prescription and continuous opioid prescriptions were assessed with multivariable modeling. Opioid use was defined as continuous if a new prescription was filled within 30 days of the previous prescription. A time-to-event analysis assessed continuous prescriptions from the index procedure to end of the last continuous opioid prescription.

RESULTS

Among a cohort of 19,819 patients undergoing predominately laryngoscopy procedures (12,721, 64.2%), 2585 (13.0%) received an opioid prescription with variation in receiving a prescription, daily dose, and total initially prescribed dose varying by procedure, patient demographics, provider characteristics, and facility type. Opioids were prescribed most frequently after tonsillectomy (45.4%) and least frequently after laryngoscopy with interventions (3.9%), which persisted in the multivariable models. Overall rates of continuous use at 180 and 360 days were 0.48% and 0.27%, respectively. Among patients receiving an initial opioid prescription, maintaining continuous prescriptions was associated with tonsillectomy procedures, age (adjusted hazard ratio [aHR]: 0.997 per year, 95% confidence interval [CI]: 0.993-0.999), opioid prescriptions 6 months preprocedure (aHR: 0.42, 95% CI: 0.37-0.47), and nonotolaryngology initial prescribers (aHRs: <1, P < .05).

CONCLUSION

There is substantial variation in initial prescribing practices and continuous opioid prescriptions after common Otolaryngology procedures, but the overall rate of maintaining a continuous prescription starting after these procedures is very low.

LEVEL OF EVIDENCE

Level 3.

Opioid Prescription Trends Among Sleep Surgeons in the United States

OBJECTIVE

This study aimed to describe trends in opioid prescriptions among US sleep surgeons between 2013 and 2021 via a retrospective analysis conducted using publicly available data.

METHODS

Utilizing the CMS part D database, we analyzed data from 82 sleep surgeons, focusing on metrics including number of opioid beneficiaries and claims, opioid cost, and opioid day supply per beneficiary. We employed statistical methods including ANOVA, t-tests, Fisher's exact test with Monte Carlo Simulation, and regression models.

RESULTS

There were no significant changes in the number of opioid claims (p = 0.782) or beneficiaries per provider (p = 0.590) nor was there a decrease in opioid day supply per beneficiary (p = 0.489) over time. Surgeons who graduated residency before 2000 prescribed significantly more opioids over the course of the study period compared to those graduating after 2000 with higher opioid day supply per beneficiary (13.34 vs. 7.42, p < 0.001), higher opioid beneficiaries per provider (21.62 vs. 19.36, p = 0.028), and higher opioid claims per provider (30.30 vs. 21.78, p < 0.001). A significant annual decrease in opioid cost per beneficiary (ANOVA, p = 0.006) was noted.

CONCLUSIONS

This study illuminates a significant impact of provider years in practice on opioid prescribing trends, alongside a decreasing trend in opioid cost per beneficiary. Despite the evolving paradigm emphasizing opioid reduction and evidence of decreasing opioid prescriptions in other otolaryngology subspecialties, our findings depict that opioid prescriptions among sleep surgeons remained stable from 2013 to 2021.

LEVEL OF EVIDENCE

3 Laryngoscope, 134:4810-4817, 2024.

Persistent Opioid Use After Hospital Admission From Surgery in New Zealand: A Population-Based Study

BACKGROUND

Persistent opioid use (POU) is common after surgery and is associated with an increased risk of mortality and morbidity. There have been no population-based studies exploring POU in opioid-naïve surgical patients in New Zealand (NZ). This study aimed to determine the incidence and risk factors for POU in opioid-naïve patients undergoing surgery in all NZ hospitals.

METHOD

We included all opioid-naïve patients who underwent surgery without a concomitant trauma diagnosis and received opioids after discharge from any NZ hospital between January 2007 and December 2019. Patients were considered opioid naïve if no opioids had been dispensed to them or if they did not have a prior diagnosis of an opioid-use disorder up to 365 days preceding the index date. The primary outcome was the incidence of POU, defined a priori as opioid use after discharge between 91 and 365 days. We used a multivariable logistic regression to identify risk factors for POU.

RESULTS

We identified 1789,407 patients undergoing surgery with no concomitant diagnosis of trauma; 377,144 (21.1%) were dispensed opioids and 260,726 patients were eligible and included in the analysis. Of those included in the final sample, 23,656 (9.1%; 95% confidence interval [CI], 9.0%-9.2%) developed POU. Risk factors related to how opioids were prescribed included: changing to different opioid(s) after discharge (adjusted odds ratio [aOR], 3.21; 95% CI, 3.04-3.38), receiving multiple opioids on discharge (aOR, 1.37; 95% CI, 1.29-1.45), and higher total oral morphine equivalents (>400 mg) (aOR, 1.23; 95% CI, 1.23-1.45). Conversely, patients who were coprescribed nonopioid analgesics on discharge had lower odds of POU (aOR, 0.91; 95% CI, 0.87-0.95). Only small differences were observed between different ethnicities. Other risk factors associated with increased risk of POU included undergoing neurosurgery (aOR, 2.02; 95% CI, 1.83-2.24), higher comorbidity burden (aOR, 1.90; 95% CI, 1.75-2.07), preoperative nonopioid analgesic use (aOR, 1.65; 95% CI, 1.60-1.71), smoking (aOR, 1.44; 95% CI, 1.35-1.54), and preoperative hypnotics use (aOR, 1.35; 95% CI, 1.28-1.42).

CONCLUSIONS

Approximately 1 in 11 opioid-naïve patients who were dispensed opioids on surgical discharge, developed POU. Potentially modifiable risk factors for POU, related to how opioids were prescribed included changing opioids after discharge, receiving multiple opioids, and higher total dose of opioids given on discharge. Clinicians should discuss the possibility of developing POU with patients before and after surgery and consider potentially modifiable risk factors for POU when prescribing analgesia on discharge after surgery.

Risk factors for persistent postoperative opioid use: an entity distinct from chronic postsurgical pain

Despite a decline in opioid prescriptions over the past decade, patients commonly receive opioid analgesics as a treatment for postoperative pain in the USA. One complication that patients may experience after surgery is persistent postoperative opioid use (PPOU), or opioid use beyond the typical recovery period. Often defined as beyond 3 months postsurgery, PPOU is frequently conflated with chronic postsurgical pain (CPSP), where pain persists well after the expected healing time following surgery. This narrative review explores the distinct risk factors for each condition, their interrelation, and potential future research directions.For PPOU, major risk factors include the risky use of substances including misuse and use disorders; depression and other mental health disorders; a history of chronic pain before surgery including back pain; and certain surgical types (ie, total knee arthropathy, open cholecystectomy, total hip arthropathy). Conversely, CPSP risk factors include the type of surgery (ie, thoracic and breast surgeries), mental health conditions (particularly catastrophizing), and pain in both the preoperative and postoperative phases. Despite the overlap of some factors, studies typically employ different frameworks when examining PPOU and CPSP, with a biopsychosocial model applied for CPSP and little emphasis on an individual's social environment employed for PPOU. Additionally, existing studies predominantly rely on retrospective insurance claims data, which may not capture the full scope of risk factors.To fill gaps in understanding, investigations may prospectively assess and analyze patient-reported outcomes, implement similar frameworks, and concurrently measure both conditions to advance the scientific understanding of PPOU and CPSP.

Impact of a Transitional Pain Service on postoperative opioid trajectories: a retrospective cohort study

INTRODUCTION

It has been well described that a small but significant proportion of patients continue to use opioids months after surgical discharge. We sought to evaluate postdischarge opioid use of patients who were seen by a Transitional Pain Service compared with controls.

METHODS

We conducted a retrospective cohort study using administrative data of individuals who underwent surgery in Ontario, Canada from 2014 to 2018. Matched cohort pairs were created by matching Transitional Pain Service patients to patients of other academic hospitals in Ontario who were not enrolled in a Transitional Pain Service. Segmented regression was performed to assess changes in monthly mean daily opioid dosage.

RESULTS

A total of 209 Transitional Pain Service patients were matched to 209 patients who underwent surgery at other academic centers. Over the 12 months after surgery, the mean daily dose decreased by an estimated 3.53 morphine milligram equivalents (95% CI 2.67 to 4.39, p<0.001) per month for the Transitional Pain Service group, compared with a decline of only 1.05 morphine milligram equivalents (95% CI 0.43 to 1.66, p<0.001) for the controls. The difference-in-difference change in opioid use for the Transitional Pain Service group versus the control group was -2.48 morphine milligram equivalents per month (95% CI -3.54 to -1.43, p=0.003).

DISCUSSION

Patients enrolled in the Transitional Pain Service were able to achieve opioid dose reduction faster than in the control cohorts. The difficulty in finding an appropriate control group for this retrospective study highlights the need for future randomized controlled trials to determine efficacy.

Predicting Persistent Opioid Use after Hand Surgery: A Machine Learning Approach

BACKGROUND

The aim of this study was to evaluate the use of machine learning to predict persistent opioid use after hand surgery.

METHODS

The authors trained 2 algorithms to predict persistent opioid use, first using a general surgery data set and then using a hand surgery data set, resulting in 4 trained models. Next, the authors tested each model's performance using hand surgery data. Participants included adult surgery patients enrolled in a cohort study at an academic center from 2015 to 2018. The first algorithm (Michigan Genomics Initiative model) was designed to accommodate patient-reported data and patients with or without prior opioid use. The second algorithm (claims model) was designed for insurance claims data from patients who were opioid-naive only. The main outcome was model discrimination, measured by area under the receiver operating curve (AUC).

RESULTS

Of 889 hand surgery patients, 49% were opioid-naive and 21% developed persistent opioid use. Most patients underwent soft-tissue procedures (55%) or fracture repair (20%). The Michigan Genomics Initiative model had AUCs of 0.84 when trained only on hand surgery data, and 0.85 when trained on the full cohort of surgery patients. The claims model had AUCs of 0.69 when trained only on hand surgery data, and 0.52 when trained on the opioid-naive cohort of surgery patients.

CONCLUSIONS

Opioid use is common after hand surgery. Machine learning has the potential to facilitate identification of patients who are at risk for prolonged opioid use, which can promote early interventions to prevent addiction.

Long-term prescribed opioid use after hospitalization or emergency department presentation among opioid naïve adults (2014-2020)-A population-based descriptive cohort study

AIMS

The aim of this work is to describe opioid initiation and long-term use after emergency department (ED) visits or hospitalizations in New South Wales, Australia, by patient, admission and clinical characteristics.

METHODS

This is a population-based cohort study, including all hospitalizations and ED visits between 2014 and 2020, linked to medicine dispensings, deaths and cancer registrations (Medicines Intelligence Data Platform), among adults with no opioid dispensings in the previous year. Outcome measures were opioid initiations (dispensed within 7 days of discharge) and long-term use (90 days of continuous exposure, 90-270 days after initiation).

RESULTS

The cohort included 16 153 096 admissions by 4.2 million opioid-naïve adults; 39.0% were ED presentations without hospital admission, 16.8% hospital admissions via ED and 44.2% direct hospital admissions. Opioids were initiated post-discharge for 6.2% of ED, 8.3% of hospital via ED and 10.0% of direct hospital admissions; of these 1.0%, 2.5% and 0.5% progressed to long-term opioid use, respectively. Initiation was lowest in obstetric admissions without surgery (1.0%), and highest among trauma admissions (25.4%), obstetric admissions with surgical intervention (19.8%) and non-trauma surgical admissions (12.0%). Long-term use was highest among medical admissions via ED (3.5%), trauma admissions (2.3%) and ED alone (1.0%). From 2014 to 2020, overall opioid initiations decreased 16% from 8.7% to 7.2%, and long-term opioid use decreased 33% from 1.3% to 0.8%.

CONCLUSIONS

Both opioid initiation and long-term use decreased over time; however, the higher rates of long-term use following trauma, and medical admissions via ED, warrant further surveillance. Strategies supporting appropriate prescribing and access to multidisciplinary pain services will facilitate best practice care.

Perioperative N-acetylcysteine: evidence and indications

Nonopioid analgesics serve to improve analgesia and limit side effects and risks of perioperative opioids. N-acetylcysteine (NAC), the primary treatment of acetaminophen toxicity, may have perioperative indications, including analgesia. NAC impacts glutathione synthesis, oxidant scavenging, glutamate receptor modulation and neuroinflammation. Potential perioperative benefits include arrhythmia prevention after cardiac surgery, decreased contrast-induced nephropathy, improved post-transplant liver function and superior pulmonary outcomes with general anesthesia. NAC may improve perioperative analgesia, with some studies displaying a reduction in postoperative opioid use. NAC is generally well tolerated with an established safety profile. NAC administration may predispose to gastrointestinal effects, while parenteral administration may carry a risk of anaphylactoid reactions, including bronchospasm. Larger randomized trials may clarify the impact of NAC on perioperative analgesic outcomes.

Perioperative opioid prescribing and iatrogenic opioid use disorder and overdose: a state-of-the-art narrative review

BACKGROUND/IMPORTANCE

Considerable attention has been paid to identifying and mitigating perioperative opioid-related harms. However, rates of postsurgical opioid use disorder (OUD) and overdose, along with associated risk factors, have not been clearly defined.

OBJECTIVE

Evaluate the evidence connecting perioperative opioid prescribing with postoperative OUD and overdose, compare these data with evidence from the addiction literature, discuss the clinical impact of these conditions, and make recommendations for further study.

EVIDENCE REVIEW

State-of-the-art narrative review.

FINDINGS

Nearly all evidence is from large retrospective studies of insurance claims and Veterans Health Administration (VHA) data. Incidence rates of new OUD within the first year after surgery ranged from 0.1% to 0.8%, while rates of overdose events ranged from 0.01% to 0.8%. Higher rates were seen among VHA patients, which may reflect differences in data completeness and/or risk factors. Identified risk factors included those related to substance use (preoperative opioid use; non-opioid substance use disorders; preoperative sedative, anxiolytic, antidepressant, and gabapentinoid use; and postoperative new persistent opioid use (NPOU)); demographic attributes (chiefly male sex, younger age, white race, and Medicaid or no insurance coverage); psychiatric comorbidities such as depression, bipolar disorder, and PTSD; and certain medical and surgical factors. Several challenges related to the use of administrative claims data were identified; there is a need for more granular retrospective studies and, ideally, prospective cohorts to assess postoperative OUD and overdose incidence with greater accuracy.

CONCLUSIONS

Retrospective data suggest an incidence of new postoperative OUD and overdose of up to 0.8% during the first year after surgery, but prospective studies are lacking.

Incidence and risk factors of new persistent opioid use after surgery and trauma: A systematic review

BACKGROUND

Persistent opioid use (POU) can occur with opioid use after surgery or trauma. Current systematic reviews include patients with previous exposure to opioids, meaning their findings may not be relevant to patients who are opioid naïve (i.e. Most recent exposure was from surgery or trauma). The aim of this review was to synthesise narratively the evidence relating to the incidence of, and risk factors for POU in opioid-naïve surgical or trauma patients.

METHOD

Structured searches of Embase, Medline, CINAHL, Web of Science, and Scopus were conducted, with final search performed on the 17th of July 2023. Searches were limited to human participants to identify studies that assessed POU following hospital admission due to surgery or trauma. Search terms relating to 'opioid', 'analgesics', 'surgery', 'injury', 'trauma' and 'opioid-related disorder' were combined. The Newcastle-Ottawa Scale for cohort studies was used to assess the risk of bias for studies.

RESULTS

In total, 22 studies (20 surgical and two trauma) were included in the analysis. Of these, 20 studies were conducted in the United States (US). The incidence of POU for surgical patients 18 and over ranged between 3.9% to 14.0%, and for those under 18, the incidence was 2.0%. In trauma studies, the incidence was 8.1% to 10.5% among patients 18 and over. Significant risk factors identified across surgical and trauma studies in opioid-naïve patients were: higher comorbidity burden, having pre-existing mental health or chronic pain disorders, increased length of hospital stay during the surgery/trauma event, or increased doses of opioid exposure after the surgical or trauma event. Significant heterogeneity of study design precluded meta-analysis.

CONCLUSION

The quality of the studies was generally of good quality; however, most studies were of US origin and used medico-administrative data. Several risk factors for POU were consistently and independently associated with increased odds of POU, primarily for surgical patients. Awareness of these risk factors may help prescribers recognise the risk of POU after surgery or trauma, when considering continuing opioids after hospitalisation. The review found gaps in the literature on trauma patients, which represents an opportunity for future research.

TRIAL REGISTRATION

PROSPERO registration: CRD42023397186.

Opioid and non-opioid analgesic regimens after fracture and risk of serious opioid-related events

Background

Non-opioid analgesics are prescribed in combination with opioids among patients with long bone fracture to reduce opioid prescribing needs, yet evidence is limited on whether they reduce the risk of serious opioid-related events (SOREs). We compared the risk of SOREs among hospitalized patients with long bone fracture discharged with filled opioid prescriptions, with and without non-opioid analgesics.

Design

We identified a retrospective cohort of analgesic-naïve adult patients with a long bone fracture hospitalization using the Merative MarketScan Commercial Database (2013-2020). The exposure was opioid and non-opioid analgesic (gabapentinoids, muscle relaxants, non-steroidal anti-inflammatory drugs, acetaminophen) prescriptions filled in the 3 days before through 42 days after discharge. The outcome was the development of new persistent opioid use or opioid use disorder during follow-up (day 43 through day 408 after discharge). We used Cox proportional hazards regression with inverse probability of treatment weighting with overlap trimming to compare outcomes among those that filled an opioid and a non-opioid analgesic to those that filled only an opioid analgesic. In secondary analyses, we used separate models to compare those that filled a prescription for each specific non-opioid analgesic type with opioids to those that filled only opioids.

Results

Of 29 489 patients, most filled an opioid prescription alone (58.4%) or an opioid and non-opioid (22.0%). In the weighted proportional hazards regression model accounting for relevant covariates and total MME, filling both a non-opioid analgesic and an opioid analgesic was associated with 1.63 times increased risk of SOREs compared with filling an opioid analgesic only (95% CI 1.41 to 1.89). Filling a gabapentin prescription in combination with an opioid was associated with an increased risk of SOREs compared with those that filled an opioid only (adjusted HR: 1.84 (95% CI1.48 to 2.27)).

Conclusions

Filling a non-opioid analgesic in combination with an opioid was associated with an increased risk of SOREs after long bone fracture.

Level of evidence

Level III, prognostic/epidemiological.

Study type

Retrospective cohort study.

Preoperative vs Postoperative Opioid Prescriptions and Prolonged Opioid Refills Among US Youths

Importance

High-risk practices, including dispensing an opioid prescription before surgery when not recommended, remain poorly characterized among US youths and may contribute to new persistent opioid use.

Objective

To characterize changes in preoperative, postoperative, and refill opioid prescriptions up to 180 days after surgery.

Design, Setting, and Participants

This retrospective cohort study was performed using national claims data to determine opioid prescribing practices among a cohort of opioid-naive youths aged 11 to 20 years undergoing 22 inpatient and outpatient surgical procedures between 2015 and 2020. Statistical analysis was performed from June 2023 to April 2024.

Main Outcomes and Measures

The primary outcome was the percentage of initial opioid prescriptions filled up to 14 days prior to vs 7 days after a procedure. Secondary outcomes included the likelihood of a refill up to 180 days after surgery, including refills at 91 to 180 days, as a proxy for new persistent opioid use, and the opioid quantity dispensed in the initial and refill prescriptions in morphine milligram equivalents (MME). Exposures included patient and prescriber characteristics. Multivariable logistic regression models were used to estimate the association between prescription timing and prolonged refills.

Results

Among 100 026 opioid-naive youths (median [IQR] age, 16.0 [14.0-18.0] years) undergoing a surgical procedure, 46 951 (46.9%) filled an initial prescription, of which 7587 (16.2%) were dispensed 1 to 14 days before surgery. The mean quantity dispensed was 227 (95% CI, 225-229) MME; 6467 youths (13.8%) filled a second prescription (mean MME, 239 [95% CI, 231-246]) up to 30 days after surgery, and 1216 (3.0%) refilled a prescription 91 to 180 days after surgery. Preoperative prescriptions, increasing age, and procedures not typically associated with severe pain were most strongly associated with new persistent opioid use.

Conclusions and Relevance

In this retrospective study of youths undergoing surgical procedures, of which, many are typically not painful enough to require opioid use, opioid dispensing declined, but approximately 1 in 6 prescriptions were filled before surgery, and 1 in 33 adolescents filled prescriptions 91 to 180 days after surgery, consistent with new persistent opioid use. These findings should be addressed by policymakers and communicated by professional societies to clinicians who prescribe opioids.

Association of peri-operative prescription of non-steroidal anti-inflammatory drugs with continued prescription of opioids after total knee arthroplasty: a retrospective claims-based cohort study

Non-steroidal anti-inflammatory drugs (NSAIDs) are one of the mainstays of multimodal pain management. While effective for acute pain control, recent pre-clinical evidence has raised concerns regarding an association between NSAIDs and chronic pain and potential opioid use. Our objective was to explore the association between peri-operative use of prescription NSAIDs and the need for continued opioid prescriptions lasting 90-180 days in previously opioid-naïve patients undergoing total knee arthroplasty. A database of health claims in the USA was used to identify all opioid-naïve adult patients who underwent primary knee arthroplasty between January 2010 and October 2021. We evaluated the magnitude of association between peri-operative prescription NSAID claims and claims for opioids at 90 days postoperatively using multivariable logistic regression models. Secondary outcomes included: the magnitude of association between peri-operative NSAID prescription and claims for opioids at 180 days postoperatively; and identifying other potential factors associated with opioid claims at 90 days postoperatively. After risk adjustment using multivariable logistic regression models in the 789,736-patient cohort, the adjusted odds ratio (95%CI) for a continuous claim of opioids at 90 and 180 days postoperatively among patients with a peri-operative NSAID prescription within 30 days was 1.32 (1.30-1.35), p < 0.001; and 1.12 (1.10-1.15), p < 0.001, respectively. This estimate of effect remained robust at 90 days after accounting for known potential confounders, including pre-existing knee pain and acute postoperative pain severity. Similar analysis of other pain medications (e.g. paracetamol) did not detect such an association. This population-based cohort study suggests that peri-operative prescription NSAID use may be associated with continued opioid prescription claims at 90 and 180 days after knee arthroplasty, even after adjusting for other observed covariates for continuous opioid claims. These novel findings can inform clinical decision-making for post-surgical pain management, risk-benefit discussions with patients and future research.

The use of opioids nine months after surgery for Crohn's disease - a nationwide cohort study

BACKGROUND

The risk of chronic opioid use after surgery for Crohn's disease (CD) is not known.

AIM

The aim of this study is to examine the chronic opioid use after surgery according to age at time of surgery and to opioid use prior to surgery.

METHODS

This nationwide cohort study included patients with a first surgery for CD (January 1, 1996 through 2021). We examined prescribed opioids 9 months after surgery and estimated adjusted odds ratios (OR) for chronic opioid use in elderly (≥60 years), adults (≥40 and <60 years), and young adults (≥18 and <40 years) according to opioid use prior to surgery. Chronic opioid use was defined as prescriptions in at least two of three consecutive quarters.

RESULTS

A total of 797 patients had surgery as elderly, 1603 as adults, and 2786 as young adults. Across all age groups, 18%-38% received opioid prescriptions throughout 9 months after surgery, if opioids were prescribed prior to surgery. If opioids were not prescribed prior to surgery, the corresponding proportions were 2%-5%. If patients were prescribed opioids (≥1) prior to surgery, the adjusted ORs (95% CIs) for their chronic use after surgery in elderly, adults, and young adults were 10.37 (6.77-15.88), 10.48 (7.74-14.19), and 6.55 (4.93-8.72), respectively.

CONCLUSION

Clinicians should be aware that in patients with a need for opioids before surgery, the surgery may not change the need for opioids. Future research should examine effective analgesic strategies that help minimise opioid use in this population.

Experiences and perspectives of adults on using opioids for pain management in the postoperative period: A scoping review

BACKGROUND

Opioids play an important role in peri-operative pain management. However, opioid use is challenging for healthcare practitioners and patients because of concerns related to opioid crises, addiction and side effects.

OBJECTIVE

This review aimed to identify and synthesise the existing evidence related to adults' experiences of opioid use in postoperative pain management.

DESIGN

Systematic scoping review of qualitative studies. Inductive content analysis and the Theoretical Domains Framework (TDF) were applied to analyse and report the findings and to identify unexplored gaps in the literature.

DATA SOURCES

Ovid MEDLINE, PsycInfo, Embase, CINAHL (EBSCO), Cochrane Library and Google Scholar.

ELIGIBILITY CRITERIA

All qualitative and mixed-method studies, in English, that not only used a qualitative approach that explored adults' opinions or concerns about opioids and/or opioid reduction, and adults' experience related to opioid use for postoperative pain control, including satisfaction, but also aspects of overall quality of a person's life (physical, mental and social well being).

RESULTS

Ten studies were included; nine were qualitative ( n  = 9) and one used mixed methods. The studies were primarily conducted in Europe and North America. Concerns about opioid dependence, adverse effects, stigmatisation, gender roles, trust and shared decision-making between clinicians and patients appeared repeatedly throughout the studies. The TDF analysis showed that many peri-operative factors formed people's perceptions and experiences of opioids, driven by the following eight domains: Knowledge, Emotion, Beliefs about consequences, Beliefs about capabilities, Self-confidence, Environmental Context and Resources, Social influences and Decision Processes/Goals. Adults have diverse pain management goals, which can be categorised as proactive and positive goals, such as individualised pain management care, as well as avoidance goals, aimed at sidestepping issues such as addiction and opioid-related side effects.

CONCLUSION

It is desirable to understand the complexity of adults' experiences of pain management especially with opioid use and to support adults in achieving their pain management goals by implementing an individualised approach, effective communication and patient-clinician relationships. However, there is a dearth of studies that examine patients' experiences of postoperative opioid use and their involvement in opioid usage decision-making. A summary is provided regarding adults' experiences of peri-operative opioid use, which may inform future researchers, healthcare providers and guideline development by considering these factors when improving patient care and experiences.

Risk Factors for Persistent Postoperative Opioid Use After Surgery for IBD: An Observational Cohort Study

BACKGROUND

Patients with IBD are at increased risk of persistent opioid use, wherein surgery plays an important role.

OBJECTIVE

Identify risk factors for persistent postoperative opioid use in patients with IBD undergoing GI surgery and describe in-hospital postoperative opioid treatment.

DESIGN

This was a retrospective observational cohort study. ORs for persistent postoperative opioid use were calculated using preoperative and in-hospital characteristics, and in-hospital opioid use was described using oral morphine equivalents.

SETTING

This study was conducted at a university hospital with a dedicated IBD surgery unit.

PATIENTS

Patients who underwent surgery for IBD from 2017 to 2022 were included.

MAIN OUTCOME MEASURES

Our main outcome measure was persistent postoperative opioid use (1 or more opioid prescriptions filled 3-9 months postoperatively).

RESULTS

We included 384 patients, of whom 36 (9.4%) had persistent postoperative opioid use, but only 11 (2.9%) of these patients were opioid naive preoperatively. We identified World Health Organization performance status >1 (OR 8.21; 95% CI, 1.19-48.68), preoperative daily opioid use (OR 12.84; 95% CI, 4.78-35.36), psychiatric comorbidity (OR 3.89; 95% CI, 1.29-11.43) and in-hospital mean daily opioid use (per 10 oral morphine equivalent increase; OR 1.22; 95% CI, 1.12-1.34) as risk factors for persistent postoperative opioid use using multivariable regression analysis.

LIMITATIONS

Our observational study design and limited sample size because of it being a single-center study resulted in wide CIs.

CONCLUSIONS

We identified risk factors for persistent postoperative opioid use in patients undergoing surgery for IBD. Results indicate a need for optimization of pain treatment in patients with IBD both before and after surgery. These patients might benefit from additional opioid-sparing measures. See Video Abstract.

FACTORES DE RIESGO EN LA ADMINISTRACION DURADERA DE OPIOIDES EN EL POSTOPERATORIO EN CASOS DE CIRUGA POR ENFERMEDAD INFLAMATORIA INTESTINAL ESTUDIO OBSERVACIONAL DE COHORTES

ANTECEDENTES:Los pacientes con enfermedad inflamatoria intestinal (EII) tienen un mayor riesgo de recibir opioides de manera duradera, casos donde la cirugía juega un papel importante.OBJETIVO:Identificar los factores de riesgo en la administración duradera de opioides en el post-operatorio de cirugía gastrointestinal en casos de EII y describir el tratamiento intra-hospitalario con los mismos.DISEÑO:Estudio observacional retrospectivo de cohortes. La relación de probabilidades (odds ratio - OR) en la adminstracion duradera de opioides post-operatorios fué calculada utilizando las características pré-operatorias y hospitalarias, donde la administración de opioides intra-hospitalarios fué descrita con la utilización de equivalentes de morfina oral.AMBIENTE:Estudio realizado en un hospital universitario con una unidad de cirugía dedicada a la EII.PACIENTES:Se incluyeron todos los pacientes sometidos a cirugía por EII entre 2017 y 2022.PRINCIPALES MEDIDAS DE RESULTADO:Nuestra principal medida de resultado fué la administración post-operatoria duradera de opioides (≥1 receta completa de opioides entre 3 y 9 meses después de la operación).RESULTADOS:Incluimos 384 pacientes, de los cuales 36 (9,4%) recibieron opioides de manera duradera en el post-operatorio, de los cuales solamente 11 pacientes (2,9%) no habían recibido opioides antes de la operación. Identificamos el estado funcional de la OMS > 1 (OR 8,21, IC 95% 1,19-48,68), el uso diario de opioides pré-operatorios (OR 12,84, IC 95% 4,78-35,36), los casos de comorbilidad psiquiátrica (OR 3,89, IC 95% 1,29-11,43) y el uso medio diario de opioides en el hospital (por cada aumento de 10 equivalentes de morfina oral) (OR 1,22, IC del 95%: 1,12-1,34 como factores de riesgo para la administración de opioides de manera duradera en el post-operatorio mediante el análisis de regresión multivariable.LIMITACIONES:Nuestro diseño de estudio observacional y el tamaño de la muestra limitada debido a que fue un estudio en un solo centro, dando como resultado intervalos de confianza muy amplios.CONCLUSIONES:Se identificaron los factores de riesgo en la administración duradera de opioides en el post-operatorio de cirugía gastrointestinal en casos de EII. Los resultados demuestran la necesidad de optimizar el tratamiento del dolor en pacientes con EII, tanto antes como después de la cirugía. Estos pacientes podrían beneficiarse de medidas adicionales de ahorro de opioides. (Traducción-Dr. Xavier Delgadillo).

Intravenous Opioid Administration During Mechanical Ventilation and Use After Hospital Discharge

Importance

Guidelines recommend an analgesia-first strategy for sedation during mechanical ventilation, but associations between opioids provided during mechanical ventilation and posthospitalization opioid-related outcomes are unclear.

Objective

To evaluate associations between an intravenous opioid dose received during mechanical ventilation and postdischarge opioid-related outcomes in medical (nonsurgical) patients.

Design, Setting, and Participants

This retrospective cohort study evaluated adults receiving mechanical ventilation lasting 24 hours or more for acute respiratory failure and surviving hospitalization. Participants from 21 Kaiser Permanente Northern California hospitals from January 1, 2012, to December 31, 2019, were included. Data were analyzed from October 1, 2020, to October 31, 2023.

Exposures

Terciles of median daily intravenous fentanyl equivalents during mechanical ventilation.

Main Outcomes and Measures

The primary outcome was the first filled opioid prescription in 1 year after discharge. Secondary outcomes included persistent opioid use and opioid-associated complications. Secondary analyses tested for interaction between opioid doses during mechanical ventilation, prior opioid use, and posthospitalization opioid use. Estimates were based on multivariable-adjusted time-to-event analyses, with death as a competing risk, and censored for hospice or palliative care referral, rehospitalization with receipt of opioid, or loss of Kaiser Permanente plan membership.

Results

The study included 6746 patients across 21 hospitals (median age, 67 years [IQR, 57-76 years]; 53.0% male). Of the participants, 3114 (46.2%) filled an opioid prescription in the year prior to admission. The median daily fentanyl equivalent during mechanical ventilation was 200 μg (IQR, 40-1000 μg), with terciles of 0 to 67 μg, more than 67 to 700 μg, and more than 700 μg. Compared with patients who did not receive opioids during mechanical ventilation (n = 1013), a higher daily opioid dose was associated with opioid prescriptions in the year after discharge (n = 2942 outcomes; tercile 1: adjusted hazard ratio [AHR], 1.00 [95% CI, 0.85-1.17], tercile 2: AHR, 1.20 [95% CI, 1.03-1.40], and tercile 3: AHR, 1.25 [95% CI, 1.07-1.47]). Higher doses of opioids during mechanical ventilation were also associated with persistent opioid use after hospitalization (n = 1410 outcomes; tercile 3 vs no opioids: odds ratio, 1.44 [95% CI, 1.14-1.83]). No interaction was observed between opioid dose during mechanical ventilation, prior opioid use, and posthospitalization opioid use.

Conclusions and Relevance

In this retrospective cohort study of patients receiving mechanical ventilation, opioids administered during mechanical ventilation were associated with opioid prescriptions following hospital discharge. Additional studies to evaluate risks and benefits of strategies using lower opioid doses are warranted.

Predicting Postoperative Pain and Opioid Use with Machine Learning Applied to Longitudinal Electronic Health Record and Wearable Data

BACKGROUND

 Managing acute postoperative pain and minimizing chronic opioid use are crucial for patient recovery and long-term well-being.

OBJECTIVES

 This study explored using preoperative electronic health record (EHR) and wearable device data for machine-learning models that predict postoperative acute pain and chronic opioid use.

METHODS

 The study cohort consisted of approximately 347 All of Us Research Program participants who underwent one of eight surgical procedures and shared EHR and wearable device data. We developed four machine learning models and used the Shapley additive explanations (SHAP) technique to identify the most relevant predictors of acute pain and chronic opioid use.

RESULTS

 The stacking ensemble model achieved the highest accuracy in predicting acute pain (0.68) and chronic opioid use (0.89). The area under the curve score for severe pain versus other pain was highest (0.88) when predicting acute postoperative pain. Values of logistic regression, random forest, extreme gradient boosting, and stacking ensemble ranged from 0.74 to 0.90 when predicting postoperative chronic opioid use. Variables from wearable devices played a prominent role in predicting both outcomes.

CONCLUSION

 SHAP detection of individual risk factors for severe pain can help health care providers tailor pain management plans. Accurate prediction of postoperative chronic opioid use before surgery can help mitigate the risk for the outcomes we studied. Prediction can also reduce the chances of opioid overuse and dependence. Such mitigation can promote safer and more effective pain control for patients during their recovery.

Predictive Models to Assess Risk of Persistent Opioid Use, Opioid Use Disorder, and Overdose

BACKGROUND

This systematic review summarizes the development, accuracy, quality, and clinical utility of predictive models to assess the risk of opioid use disorder (OUD), persistent opioid use, and opioid overdose.

METHODS

In accordance with Preferred Reporting Items for a Systematic Review and Meta-analysis guidelines, 8 electronic databases were searched for studies on predictive models and OUD, overdose, or persistent use in adults until June 25, 2023. Study selection and data extraction were completed independently by 2 reviewers. Risk of bias of included studies was assessed independently by 2 reviewers using the Prediction model Risk of Bias ASsessment Tool (PROBAST).

RESULTS

The literature search yielded 3130 reports; after removing 199 duplicates, excluding 2685 studies after abstract review, and excluding 204 studies after full-text review, the final sample consisted of 41 studies that developed more than 160 predictive models. Primary outcomes included opioid overdose (31.6% of studies), OUD (41.4%), and persistent opioid use (17%). The most common modeling approach was regression modeling, and the most common predictors included age, sex, mental health diagnosis history, and substance use disorder history. Most studies reported model performance via the c statistic, ranging from 0.507 to 0.959; gradient boosting tree models and neural network models performed well in the context of their own study. One study deployed a model in real time. Risk of bias was predominantly high; concerns regarding applicability were predominantly low.

CONCLUSIONS

Models to predict opioid-related risks are developed using diverse data sources and predictors, with a wide and heterogenous range of accuracy metrics. There is a need for further research to improve their accuracy and implementation.

Intraoperative pharmacologic opioid minimisation strategies and patient-centred outcomes after surgery: a scoping review

BACKGROUND

Postoperative patient-centred outcome measures are essential to capture the patient's experience after surgery. Although a large number of pharmacologic opioid minimisation strategies (i.e. opioid alternatives) are used for patients undergoing surgery, it remains unclear which strategies are most promising in terms of patient-centred outcome improvements. This scoping review had two main objectives: (1) to map and describe evidence from clinical trials assessing the patient-centred effectiveness of pharmacologic intraoperative opioid minimisation strategies in adult surgical patients, and (2) to identify promising pharmacologic opioid minimisation strategies.

METHODS

We searched MEDLINE, Embase, CENTRAL, Web of Science, and CINAHL databases from inception to February 2023. We included trials investigating the use of opioid minimisation strategies in adult surgical patients and reporting at least one patient-centred outcome. Study screening and data extraction were conducted independently by at least two reviewers.

RESULTS

Of 24,842 citations screened for eligibility, 2803 trials assessed the effectiveness of intraoperative opioid minimisation strategies. Of these, 457 trials (67,060 participants) met eligibility criteria, reporting at least one patient-centred outcome. In the 107 trials that included a patient-centred primary outcome, patient wellbeing was the most frequently used domain (55 trials). Based on aggregate findings, dexmedetomidine, systemic lidocaine, and COX-2 inhibitors were promising strategies, while paracetamol, ketamine, and gabapentinoids were less promising. Almost half of the trials (253 trials) did not report a protocol or registration number.

CONCLUSIONS

Researchers should prioritise and include patient-centred outcomes in the assessment of opioid minimisation strategy effectiveness. We identified three potentially promising pharmacologic intraoperative opioid minimisation strategies that should be further assessed through systematic reviews and multicentre trials. Findings from our scoping review may be influenced by selective outcome reporting bias.

STUDY REGISTRATION

OSF - https://osf.io/7kea3.

Perioperative Intravenous Dexamethasone Significantly Reduces Postoperative Opioid Requirement and Nausea After Unilateral Elective Hip Arthroscopy: A Randomized Double-blinded Placebo-controlled Trial

BACKGROUND

Previous studies have shown that dexamethasone has a positive effect on postoperative pain control, opioid consumption, nausea, and vomiting and length of hospital stay after arthroplasty surgery.

PURPOSE/HYPOTHESIS

The purpose of this study was to assess whether adding perioperative dexamethasone to our current pain regimen after hip arthroscopy is more effective than a placebo. It was hypothesized that dexamethasone would reduce postoperative pain, reduce opioid consumption, improve subjective pain and nausea scores, and reduce the number of vomiting events.

STUDY DESIGN

Randomized controlled trial; Level of evidence, 1.

METHODS

A total of 50 patients requiring unilateral elective hip arthroscopy were randomized to receive intravenous dexamethasone immediately before induction of anesthesia and at 8 am on the first postoperative day (2 ×12 mg) or a placebo (sodium chloride 0.9%). The patient, the surgeons, the treating anesthesiologist, and the involved nursing and physical therapy personnel were blinded to group assignment. The primary outcome was postoperative pain, and secondary outcomes were opioid consumption and nausea scores-assessed using a translated revised version of the American Pain Society Patient Outcome Questionnaire 6 hours postoperatively and on days 1 and 2-and vomiting events. A clinical follow-up was performed 12 weeks postoperatively to assess adverse events.

RESULTS

The mean age at inclusion was 29 years in both groups. Postoperative pain levels did not differ significantly in most instances. Opioid requirements during the hospitalization in the dexamethasone group were significantly lower than those in the placebo group (31.96 ± 20.56 mg vs 51.43 ± 38 mg; P = .014). Significantly fewer vomiting events were noted in the dexamethasone group (0.15 ± 0.59 vs 0.65 ± 0.91; P = .034). Descriptive data and surgical parameters did not differ significantly.

CONCLUSION

Perioperative intravenous dexamethasone significantly reduced postoperative opioid consumption by 40% without compromising pain level and safety, as no corticosteroid-related side effects were observed. Dexamethasone may be a valuable adjuvant to a multimodal systemic pain regimen after hip arthroscopy.

REGISTRATION

NCT04610398 (ClinicalTrials.gov identifier).

The risk of opioid use disorder among women undergoing obstetric-related procedures: Results from the Cerner Real-World Database

Introduction

While the relationship between various obstetric procedures and the onset of opioid use disorder (OUD) remains ambiguous, this study aims to elucidate the immediate and prolonged risks of OUD in women who have undergone procedures such as vaginal and cesarean deliveries, induced abortions, and treatments related to miscarriages and ectopic pregnancies.

Methods

Retrospective data (n = 632,872) from the Cerner Real-World Data™ for pregnant females (age 15-44) between January 2010 and March 2020 were used. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were used to compare odds of OUD for each obstetric outcome to normal vaginal delivery using multivariable logistic regression. New opioid prescriptions and persistent opioid prescriptions were secondary outcomes for which modified Poisson regression models were used.

Results

Compared to patients with a vaginal delivery, those with an ectopic pregnancy, a cesarean delivery, miscarriage, and an induced abortion had 84%, 46%, 119%, and 131% significantly higher odds of OUD (aOR [95% CI]: 1.84 [1.36, 2.48], 1.46 [1.29, 1.65], 2.19 [1.94, 2.47], and 2.31 [1.80, 2.96]) respectively. Among opioid naïve patients, all other obstetric procedure groups (besides miscarriage) had significantly higher risk of being prescribed new opioids than those with a vaginal delivery. Among those newly prescribed opioids, patients from all other obstetric procedure groups demonstrated a significantly higher risk of persistent opioid prescription compared to those who had a vaginal delivery.

Conclusion

The association between specific obstetric outcomes, notably miscarriage and induced abortions, and opioid use patterns should inform safer and more effective pain management in a maternal population.

Trajectories of pain and opioid use up to one year after surgery: analysis of a European registry

BACKGROUND

Long-term opioid use after surgery is a crucial healthcare problem in North America. Data from European hospitals are scarce and differentiation of chronic pain has rarely been considered.

METHODS

In a mixed surgical cohort of the PAIN OUT registry, opioid use and chronic pain were evaluated before surgery, and 6 and 12 months after surgery (M6/M12). Subgroups with or without opioid medication and pre-existing chronic pain were analysed. M12-chronic pain was categorised as chronic postsurgical pain (CPSP) meeting the ICD-11 definition, chronic pain related to surgery not meeting the ICD-11 definition, and chronic pain unrelated to surgery. Primary endpoint was the rate of M12 opioid users. Variables associated with M12 opioid use and patient-reported outcomes were evaluated.

RESULTS

Of 2326 patients, 5.5% were preoperative opioid users; 4.4% and 3.5% took opioids at M6 and M12 (P<0.001). Chronic pain before operation and at M6/M12 was reported by 41.2%, 41.8%, and 34.7% of patients, respectively (P<0.001). The rate of M12 opioid users was highest in group unrelated (22.3%; related 8.3%, CPSP 1.5%; P<0.001). New opioid users were 1.1% (unrelated 7.1%, related 2.3%, CPSP 0.7%; P<0.001). M12 opioid users reported more pain, pain-related physical and affective interference, and needed more opioids than non-users. The predominant variable associated with M12 opioids was preoperative opioid use (estimated odds ratio [95% confidence interval]: 28.3 [14.1-56.7], P<0.001).

CONCLUSIONS

Opioid use was low in patients with CPSP, and more problematic in patients with chronic pain unrelated to surgery. A detailed assessment of chronic pain unrelated or related to surgery or CPSP is necessary.

CLINICAL TRIAL REGISTRATION

NCT02083835.

Pre-emptive paracetamol reduces intra-operative opioid use in patients undergoing day-case oncologic breast surgery

Minimization of intra-operative opioid use is an area of ongoing research interest with several potential benefits to the patient. Pre-emptive analgesia, defined as the administration of an analgesic before surgery to prevent establishment of central sensitization of pain, is one avenue that has been explored to achieve this. A retrospective observational study was undertaken to examine the effect of pre-emptive paracetamol on intra-operative opioid requirements. The medical and operative data of 156 patients who underwent day-case wide local excision and sentinel lymph node biopsy with and without regional block surgery at our center between October 2019 and May 2022 was carried out. Data were collected on demographics, total intra-operative and immediate post-operative opioid consumption. 57 patients did not receive pre-emptive paracetamol while 90 did. Baseline characteristics were similar. Our results showed a statistically significant reduction in morphine (p <0.029) and remifentanil (p <0.007) consumption in patients who received a regional block and pre-emptive paracetamol. Those who did not receive a regional block and were given pre-emptive paracetamol had a decrease in OxyNorm (p <0.022) requirements. A combination of general anesthesia (GA), regional block and pre-emptive paracetamol reduced intra-operative consumption of Fentanyl, OxyNorm, diclofenac, dexketoprofen, and clonidine (P <0.001) when compared to just GA alone. Use of pre-emptive paracetamol in reduction of intra-operative opioid requirements showed promising results but larger studies may strengthen the evidence for this association. A multimodal analgesic approach that utilizes pre-emptive paracetamol can be a viable method to decrease intra-operative of analgesic requirements.

Opioid reduction and enhanced recovery in orthopaedic surgery (OREOS): a protocol for a feasibility randomised controlled trial in patients undergoing total knee arthroplasty

BACKGROUND

Knee arthritis is a leading cause of limited function and long-term disability in older adults. Despite a technically successful total knee arthroplasty (TKA), around 20% of patients continue to have persisting pain with reduced function, and low quality of life. Many of them continue using opioids for pain control, which puts them at risk for potential long-term adverse effects such as dependence, overdose and risk of falls. Although persisting pain and opioid use after TKA have been recognised to be important issues, individual strategies to decrease their burden have limitations and multi-component interventions, despite their potential, have not been well studied. In this study, we propose a multi-component pathway including personalized pain management, facilitated by a pain management coordinator. The objectives of this pilot trial are to evaluate feasibility (recruitment, retention, and adherence), along with opioid-free pain control at 8 weeks after TKA.

METHODS

This is a protocol for a multicentre pilot randomised controlled trial using a 2-arm parallel group design. Adult participants undergoing unilateral total knee arthroplasty will be considered for inclusion and randomised to control and intervention groups. Participants in the intervention group will receive support from a pain management coordinator who will facilitate a multicomponent pain management pathway including (1) preoperative education on pain and opioid use, (2) preoperative risk identification and mitigation, (3) personalized post-discharge analgesic prescriptions and (4) continued support for pain control and recovery up to 8 weeks post-op. Participants in the control group will undergo usual care. The primary outcomes of this pilot trial are to assess the feasibility of participant recruitment, retention, and adherence to the interventions, and key secondary outcomes are persisting pain and opioid use.

DISCUSSION

The results of this trial will determine the feasibility of conducting a definitive trial for the implementation of a multicomponent pain pathway to improve pain control and reduce harms using a coordinated approach, while keeping an emphasis on patient centred care and shared decision making.

TRIAL REGISTRATION

Prospectively registered in Clinicaltrials.gov (NCT04968132).

Persistent long-term opioid use after trauma: Incidence and risk factors

BACKGROUND

The opioid epidemic in the United States continues to lead to a substantial number of preventable deaths and disability. The development of opioid dependence has been strongly linked to previous opioid exposure. Trauma patients are at particular risk since opioids are frequently required to control pain after injury. The purpose to this study was to examine the prevalence of opioid use before and after injury and to identify risk factors for persistent long-term opioid use after trauma.

METHODS

Records for all patients admitted to a Level 1 trauma center over a 1-year period were analyzed. Demographics, injury characteristics, and hospital course were recorded. A multistate Prescription Drug Monitoring Program database was queried to obtain records of all controlled substances prescribed from 6 months before the date of injury to 12 months after hospital discharge. Patients still receiving narcotics at 1 year were defined as persistent long-term users and were compared against those who were not.

RESULTS

A total of 2,992 patients were analyzed. Of all patients, 20.4% had filled a narcotic prescription within the 6 months before injury, 53.5% received opioids at hospital discharge, and 12.5% had persistent long-term use after trauma with the majority demonstrating preinjury use. Univariate risk factors for long-term use included female sex, longer length of stay, higher Injury Severity Score, anxiety, depression, orthopedic surgeries, spine injuries, multiple surgical locations, discharge to acute inpatient rehab, and preinjury opioid use. On multivariate analysis, the only significant predictors of persistent long-term prescription opioid use were preinjury use and a much smaller effect associated with use at discharge.

CONCLUSION

During a sustained opioid epidemic, concerns and caution are warranted in the use of prescription narcotics for trauma patients. However, persistent long-term opioid use among opioid-naive patients is rare and difficult to predict after trauma.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level III.

New Persistent Opioid Use After Childbirth

OBJECTIVE

To examine factors associated with new persistent opioid use after childbirth.

METHODS

We conducted a population-based cohort study of individuals who initiated opioid therapy within 7 days of discharge from hospital after delivery between September 1, 2013, and September 30, 2021. The primary outcome was new persistent opioid use , which was defined as one or more prescriptions for an opioid within 90 days of the first postpartum prescription and one or more subsequent opioid prescriptions in the 91-365 days afterward. We used multivariable logistic regression to assess patient-, pregnancy-, and prescription-related factors associated with new persistent opioid use after delivery.

RESULTS

We identified 118,694 unique deliveries after which opioids were initiated, including 99,399 cesarean (83.7%) and 19,295 vaginal (16.3%) deliveries. Among mothers who initiated an opioid after delivery, 1,282 (10.8/1,000 deliveries) met our definition of new persistent opioid use in the subsequent year. Rates of new persistent opioid use were appreciably higher after vaginal (16.0/1,000) compared with cesarean (9.8/1,000) deliveries. Each additional 30 morphine milligram equivalents in the initial opioid prescription was associated with an increased risk of new persistent use after cesarean (adjusted odds ratio [aOR] 1.06, 95% CI 1.04-1.08) and vaginal (aOR 1.05, 95% CI 1.02-1.08) delivery. A concomitant benzodiazepine prescription after cesarean delivery was associated with a markedly increased risk of persistent opioid use (aOR 2.69, 95% CI 1.60-4.52).

CONCLUSION

Among people who filled an opioid prescription after delivery, about 1% displayed evidence of persistent opioid use in the subsequent year. Initial prescriptions for large quantities of opioids and a concurrent benzodiazepine prescription may be important modifiable risk factors to prevent new persistent opioid use after delivery.

Patients' experiences of subacute pain management following total hip or knee arthroplasty: A qualitative study

BACKGROUND

Total hip and knee arthroplasties are common surgeries performed worldwide, but the management of pain during the subacute period (defined as hospital discharge to 3 months postoperatively) is poorly understood. This study aimed to determine patients' experiences, facilitators and barriers to subacute pain management following total hip or knee arthroplasty.

METHODS

Semi-structured interviews with a purposive sample of patients following total hip or knee arthroplasty were conducted between June and August 2022. Participants were recruited from two tertiary metropolitan hospitals. Interviews were audio-recorded and transcribed verbatim. Data were analysed using an inductive thematic approach to identify common themes.

RESULTS

In total, 30 interviews were conducted with patients following hip or knee arthroplasty. Four main themes were identified: (i) Physical constitution before surgery (joint condition, analgesic use, age, and hearing); (ii) Attitude and knowledge (motivation, outlook on life, attitude towards taking medications, individual benchmarking, and knowledge); (iii) Socio-ethno-cultural factors (family and community connection, language, and religion), and (iv) Health-system support (health-professional delivered education, medications, services, staff, and costs).

CONCLUSIONS

Participants' experiences of subacute pain following hip or knee arthroplasty were shaped by multidimensional factors. Strategies to empower patients through increased education and support during postoperative opioid tapering as well as a shift to a biopsychosocial approach to pain management during the subacute period may improve patient and health-system outcomes.

Opioids Prescribing Among Patients with Zoster-Related Pain in Real-Life: A Retrospective, Cohort Study Based on the Clinical Database

Purpose

The aim of this study was to analysis of the opioid use of opioid native zoster-related pain (ZRP) patients to evaluate the impact of opioid use on pain control and quality of life improvement based on the clinical database.

Patients and Methods

We conducted a retrospective cohort study to identify opioid native patients who were hospitalized in the pain department between May 1, 2020, and May 1, 2021. The primary outcomes were persistent opioid use after discharge, visual analogue scale (VAS) at the admission, VAS remission rate during hospitalization, VAS score and quality of life at follow-up. Then, we assessed patient-level risk factors for persistent opioid use after the discharge.

Results

A total of 350 patients met the inclusion criteria. Of those patients, 255 (72.9%) were administered with opioid during hospitalization, and 95 (27.1%) patients were not. Opioid prescription during hospitalization was independently associated with increased odds of persistent use after the discharge (adjusted odds ratio, 20.74; 95% CI, 4.504-95.474; P < 0.01). In the two groups, the VAS score at admission and the VAS score at follow-up were different. In the group with opioids during hospitalization, the persistent opioid use after discharge was more common (38% vs 2.1%) compared to patients without opioids, and VAS remission rate during hospitalization was less, restrictions on daily life, work or housework, and social activities were more common, and mood, diet and sleep were worse, respectively.

Conclusion

Opioids prescription during hospitalization might increase the risk of chronic opioid use in opioid native ZRP patients, and it has limited benefits in pain control and quality of life improvement. Even though PHN was painful and intractable, the use of opioids should also be more cautious, and strict follow-up, management in this population.

Temporal trends and patterns in initial opioid prescriptions after hospital discharge following colectomy in England over 10 years

BACKGROUND

While opioid analgesics are often necessary for the management of acute postoperative pain, appropriate prescribing practices are crucial to avoid harm. The aim was to investigate the changes in the proportion of people receiving initial opioid prescriptions after hospital discharge following colectomy, and describe trends and patterns in prescription characteristics.

METHODS

This was a retrospective cohort study. Patients undergoing colectomy in England between 2010 and 2019 were included using electronic health record data from linked primary (Clinical Practice Research Datalink Aurum) and secondary (Hospital Episode Statistics) care. The proportion of patients having an initial opioid prescription issued in primary care within 90 days of hospital discharge was calculated. Prescription characteristics of opioid type and formulation were described.

RESULTS

Of 95 155 individuals undergoing colectomy, 15 503 (16.3%) received opioid prescriptions. There was a downward trend in the proportion of patients with no prior opioid exposure (opioid naive) who had a postdischarge opioid prescription (P <0.001), from 11.4% in 2010 to 6.7% in 2019 (-41.3%, P <0.001), whereas the proportions remained stable for those prescribed opioids prior to surgery, from 57.5% in 2010 to 58.3% in 2019 (P = 0.637). Codeine represented 44.5% of all prescriptions and prescribing increased by 14.5% between 2010 and 2019. Prescriptions for morphine and oxycodone rose significantly by 76.6% and 31.0% respectively, while tramadol prescribing dropped by 48.0%. The most commonly prescribed opioid formulations were immediate release (83.9%), followed by modified release (5.8%) and transdermal (3.2%). There was a modest decrease in the prescribing of immediate-release formulations from 86.0% in 2010 to 82.0% in 2019 (P <0.001).

CONCLUSION

Over the 10 years studied, there was a changing pattern of opioid prescribing following colectomy, with a decrease in the proportion of opioid-naive patients prescribed postdischarge opioids.

Healthcare delivery gaps in pain management within the first 3 months after discharge from inpatient noncardiac surgeries: a scoping review

BACKGROUND

Poor pain control during the postoperative period has negative implications for recovery, and is a critical risk factor for development of persistent postsurgical pain. The aim of this scoping review is to identify gaps in healthcare delivery that patients undergoing inpatient noncardiac surgeries experience in pain management while recovering at home.

METHODS

Searches were conducted by a medical librarian in PubMed, MEDLINE, EMBASE, EBSCO CINAHL, Web of Science, and Cochrane Database of Systematic Reviews for articles published between 2016 and 2022. Inclusion criteria were adults (≥18 yr), English language, inpatient noncardiac surgery, and included at least one gap in care for acute and/or persistent pain management after surgery within the first 3 months of recovery at home. Two reviewers independently screened articles for inclusion and extracted data. Quotations from each article related to gaps in care were synthesised using thematic analysis.

RESULTS

There were 4794 results from databases and grey literature, of which 38 articles met inclusion criteria. From these, 23 gaps were extracted, encompassing all six domains of healthcare delivery (capacity, organisational structure, finances, patients, care processes and infrastructure, and culture). Identified gaps were synthesised into five overarching themes: education (22 studies), provision of continuity of care (21 studies), individualised management (10 studies), support for specific populations (11 studies), and research and knowledge translation (10 studies).

CONCLUSIONS

This scoping review identified health delivery gaps during a critical period in postoperative pain management. These gaps represent potential targets for quality improvement and future research to improve perioperative care and longer-term patient-centred outcomes.

SCOPING REVIEW PROTOCOL

Open Science Framework (https://osf.io/cq5m6/).

Persistent opioid and benzodiazepine use after radical cystectomy in enhanced recovery after surgery (ERAS) patients

OBJECTIVES

Opioid use, misuse, and diversion is of paramount concern in the United States. Radical cystectomy is typically managed with some component of opioid pain control. We evaluated persistent opioid and benzodiazepine use after radical cystectomy and assessed the impact of their preoperative use on this outcome. We also explored associations between preoperative use and perioperative outcomes.

METHODS AND MATERIALS

We used prospectively maintained data from our enhanced recovery after surgery (ERAS) cystectomy database and the Prescription Reporting with Immediate Medication Utilization Mapping (PRIMUM) database to identify controlled substance prescriptions for radical cystectomy patients. We separated patients by frequency of preoperative opioid and/or benzodiazepine prescriptions (0, 1, 2+) and used these cohorts to explore persistent use (prescription 3-12 months after surgery) alongside perioperative outcomes.

RESULTS

Our cohort included 257 patients undergoing cystectomy at a single institution from 2017 to 2021. Preoperative opioid and benzodiazepine prescriptions were documented for 120 (46.7%) and 26 (10.1%) patients, respectively. Persistent opioid use was observed in 20 (14.6%) of opioid-naive patients (no prescriptions in 9 months prior to surgery) while 13 (19.7%) patients with 1 preoperative prescription and 28 (51.9%) patients with 2 or more preoperative prescriptions demonstrated persistent use. New persistent benzodiazepine use occurred in 6 (2.6%) patients. Overall persistent benzodiazepine use was present in 11 (4.3%) patients. In a multivariable model, preoperative opioid and benzodiazepine prescriptions were associated with persistent opioid use (P < 0.001; P = 0.027 respectively). No association was identified between preoperative opioid or benzodiazepine usage and perioperative outcomes including length of stay, return of bowel function, inpatient opioid usage, inpatient or discharge complications, readmissions, or emergency department visits. Inpatient pain scores were noted to be higher in patients with ≥ 2 preoperative opioid prescriptions (P = 0.037).

CONCLUSIONS

Persistent opioid use was present in 23.7% of patients, with a new persistent use rate of 14.6%. Benzodiazepine use was less frequent than opioids, with a small number demonstrating new persistent use. Preoperative opioid and benzodiazepine use is associated with persistent opioid use postoperatively. Preoperative opioid and benzodiazepine use did not affect perioperative outcomes in our cohort.

Predictors of persistent postoperative opioid use following colectomy: a population-based cohort study from England

This retrospective cohort study on adults undergoing colectomy from 2010 to 2019 used linked primary (Clinical Practice Research Datalink), and secondary (Hospital Episode Statistics) care data to determine the prevalence of persistent postoperative opioid use following colectomy, stratified by pre-admission opioid exposure, and identify associated predictors. Based on pre-admission opioid exposure, patients were categorised as opioid-naïve, currently exposed (opioid prescription 0-6 months before admission) and previously exposed (opioid prescription within 7-12 months before admission). Persistent postoperative opioid use was defined as requiring an opioid prescription within 90 days of discharge, along with one or more opioid prescriptions 91-180 days after hospital discharge. Multivariable logistic regression analyses were conducted to obtain odds ratios for predictors of persistent postoperative opioid use. Among the 93,262 patients, 15,081 (16.2%) were issued at least one opioid prescription within 90 days of discharge. Of these, 6791 (45.0%) were opioid-naïve, 7528 (49.9%) were currently exposed and 762 (5.0%) were previously exposed. From the whole cohort, 7540 (8.1%) developed persistent postoperative opioid use. Patients with pre-operative opioid exposure had the highest persistent use: 5317 (40.4%) from the currently exposed group; 305 (9.8%) from the previously exposed group; and 1918 (2.5%) from the opioid-naïve group. The odds of developing persistent opioid use were higher among individuals who used long-acting opioid formulations in the 180 days before colectomy than those who used short-acting formulations (odds ratio 3.41 (95%CI 3.07-3.77)). Predictors of persistent opioid use included: previous opioid exposure; high deprivation index; multiple comorbidities; use of long-acting opioids; white race; and open surgery. Minimally invasive surgical approaches were associated with lower odds of persistent opioid use and may represent a modifiable risk factor.

Discharge of postoperative patients with an opioid prescription is associated with increased persistent opioid use, healthcare expenditures and mortality: a retrospective cohort study

BACKGROUND

The risk factors for persistent opioid use after surgical discharge and the association between opioid prescription at discharge and postoperative emergency department visits, readmission, and mortality are unclear.

METHODS

This population-based retrospective cohort study involved opioid-naive patients who underwent surgical procedures from January 1, 2000 to November 30, 2020. The data source was Hong Kong Hospital Authority Clinical Management System electronic health record. The primary outcome was the incidence of new persistent opioid use. Other study outcomes included 30-day emergency department visits, 30-day readmission, and 30-day all-cause mortality. Multivariable logistic regression models were used to estimate the association between opioid prescription at discharge and persistent opioid use, emergency department visits, readmission, and all-cause mortality.

RESULTS

Over a median follow-up of 1 month with 36 104 person-years, 438 128 patients (opioid prescription: 32 932, no opioid prescription: 405 196) who underwent surgical procedures were analysed, of whom 15 112 (3.45%) had persistent opioid use after discharge. Prescribing opioids on discharge was associated with increased risks of developing persistent opioid use (odds ratio [OR]: 2.30, 95% confidence interval [CI]: 2.19-2.40, P<0.001), 30-day emergency department visits (OR: 1.28, 95% CI: 1.23-1.33, P<0.001), 30-day readmission (OR: 1.17, 95% CI: 1.13-1.20, P<0.001), and 30-day all-cause mortality (OR: 1.68, 95% CI: 1.53-1.86, P<0.001).

CONCLUSIONS

In this large cohort of patients undergoing surgery, an opioid prescription on discharge was associated with a higher chance of persistent opioid use and increased risks of postoperative emergency department visits, readmission, and mortality. Minimising opioid prescriptions on discharge could improve perioperative patient outcomes.

Postoperative opioid prescribing patients with diabetes: Opportunities for personalized pain management

BACKGROUND

Opioids are commonly prescribed for postoperative pain, but may lead to prolonged use and addiction. Diabetes impairs nerve function, complicates pain management, and makes opioid prescribing particularly challenging.

METHODS

This retrospective observational study included a cohort of postoperative patients from a multisite academic health system to assess the relationship between diabetes, pain, and prolonged opioid use (POU), 2008-2019. POU was defined as a new opioid prescription 3-6 months after discharge. The odds that a patient had POU was assessed using multivariate logistic regression controlling for patient factors (e.g., demographic and clinical factors, as well as prior pain and opiate use).

FINDINGS

A total of 43,654 patients were included, 12.4% with diabetes. Patients with diabetes had higher preoperative pain scores (2.1 vs 1.9, p<0.001) and lower opioid naïve rates (58.7% vs 68.6%, p<0.001). Following surgery, patients with diabetes had higher rates of POU (17.7% vs 12.7%, p<0.001) despite receiving similar opioid prescriptions at discharge. Patients with Type I diabetes were more likely to have POU compared to other patients (Odds Ratio [OR]: 2.22; 95% Confidence Interval [CI]:1.69-2.90 and OR:1.44, CI: 1.33-1.56, respectively).

INTERPRETATION

In conclusion, surgical patients with diabetes are at increased risk for POU even after controlling for likely covariates, yet they receive similar postoperative opiate therapy. The results suggest a more tailored approach to diabetic postoperative pain management is warranted.

Evidence-Based Opioid Prescribing Guidelines and New Persistent Opioid Use After Surgery

OBJECTIVE

Evaluate the association of evidence-based opioid prescribing guidelines with new persistent opioid use after surgery.

SUMMARY BACKGROUND DATA

Patients exposed to opioids after surgery are at risk of new persistent opioid use, which is associated with opioid use disorder and overdose. It is unknown whether evidence-based opioid prescribing guidelines mitigate this risk.

METHODS

Using Medicare claims, we performed a difference-in-differences study of opioid-naive patients who underwent 1 of 6 common surgical procedures for which evidence-based postoperative opioid prescribing guidelines were released and disseminated through a statewide quality collaborative in Michigan in October 2017. The primary outcome was the incidence of new persistent opioid use, and the secondary outcome was total postoperative opioid prescription quantity in oral morphine equivalents (OME).

RESULTS

We identified 24,908 patients who underwent surgery in Michigan and 118,665 patients who underwent surgery outside of Michigan. Following the release of prescribing guidelines in Michigan, the adjusted incidence of new persistent opioid use decreased from 3.29% (95% CI 3.15-3.43%) to 2.51% (95% CI 2.35-2.67%) in Michigan, which was an additional 0.53 (95% CI 0.36-0.69) percentage point decrease compared with patients outside of Michigan. Simultaneously, adjusted opioid prescription quantity decreased from 199.5 (95% CI 198.3-200.6) mg OME to 88.6 (95% CI 78.7-98.5) mg OME in Michigan, which was an additional 55.7 (95% CI 46.5-65.4) mg OME decrease compared with patients outside of Michigan.

CONCLUSIONS

Evidence-based opioid prescribing guidelines were associated with a significant reduction in the incidence of new persistent opioid use and the quantity of opioids prescribed after surgery.

Five-Year Trajectories of Prescription Opioid Use

Importance

There are known risks of using opioids for extended periods. However, less is known about the long-term trajectories of opioid use following initiation.

Objective

To identify 5-year trajectories of prescription opioid use, and to examine the characteristics of each trajectory group.

Design, Setting, and Participants

This population-based cohort study conducted in New South Wales, Australia, linked national pharmaceutical claims data to 10 national and state data sets to determine sociodemographic characteristics, clinical characteristics, drug use, and health services use. The cohort included adult residents (aged ≥18 years) of New South Wales who initiated a prescription opioid between July 1, 2003, and December 31, 2018. Statistical analyses were conducted from February to September 2022.

Exposure

Dispensing of a prescription opioid, with no evidence of opioid dispensing in the preceding 365 days, identified from pharmaceutical claims data.

Main Outcomes and Measures

The main outcome was the trajectories of monthly opioid use over 60 months from opioid initiation. Group-based trajectory modeling was used to classify these trajectories. Linked health care data sets were used to examine characteristics of individuals in different trajectory groups.

Results

Among 3 474 490 individuals who initiated a prescription opioid (1 831 230 females [52.7%]; mean [SD] age, 49.7 [19.3] years), 5 trajectories of long-term opioid use were identified: very low use (75.4%), low use (16.6%), moderate decreasing to low use (2.6%), low increasing to moderate use (2.6%), and sustained use (2.8%). Compared with individuals in the very low use trajectory group, those in the sustained use trajectory group were older (age ≥65 years: 22.0% vs 58.4%); had more comorbidities, including cancer (4.1% vs 22.2%); had increased health services contact, including hospital admissions (36.9% vs 51.6%); had higher use of psychotropic (16.4% vs 42.4%) and other analgesic drugs (22.9% vs 47.3%) prior to opioid initiation, and were initiated on stronger opioids (20.0% vs 50.2%).

Conclusions and relevance

Results of this cohort study suggest that most individuals commencing treatment with prescription opioids had relatively low and time-limited exposure to opioids over a 5-year period. The small proportion of individuals with sustained or increasing use was older with more comorbidities and use of psychotropic and other analgesic drugs, likely reflecting a higher prevalence of pain and treatment needs in these individuals.

Prediction of opioid-related outcomes in a medicaid surgical population: Evidence to guide postoperative opiate therapy and monitoring

BACKGROUND

Treatment of surgical pain is a common reason for opioid prescriptions. Being able to predict which patients are at risk for opioid abuse, dependence, and overdose (opioid-related adverse outcomes [OR-AE]) could help physicians make safer prescription decisions. We aimed to develop a machine-learning algorithm to predict the risk of OR-AE following surgery using Medicaid data with external validation across states.

METHODS

Five machine learning models were developed and validated across seven US states (90-10 data split). The model output was the risk of OR-AE 6-months following surgery. The models were evaluated using standard metrics and area under the receiver operating characteristic curve (AUC) was used for model comparison. We assessed calibration for the top performing model and generated bootstrap estimations for standard deviations. Decision curves were generated for the top-performing model and logistic regression.

RESULTS

We evaluated 96,974 surgical patients aged 15 and 64. During the 6-month period following surgery, 10,464 (10.8%) patients had an OR-AE. Outcome rates were significantly higher for patients with depression (17.5%), diabetes (13.1%) or obesity (11.1%). The random forest model achieved the best predictive performance (AUC: 0.877; F1-score: 0.57; recall: 0.69; precision:0.48). An opioid disorder diagnosis prior to surgery was the most important feature for the model, which was well calibrated and had good discrimination.

CONCLUSIONS

A machine learning models to predict risk of OR-AE following surgery performed well in external validation. This work could be used to assist pain management following surgery for Medicaid beneficiaries and supports a precision medicine approach to opioid prescribing.

Perioperative Factors Associated With Chronic Opioid Use After Spine Surgery

STUDY DESIGN

Retrospective case control.

OBJECTIVES

The purpose of the current study is to determine risk factors associated with chronic opioid use after spine surgery.

METHODS

In our single institution retrospective study, 1,299 patients undergoing elective spine surgery at a tertiary academic medical center between January 2010 and August 2017 were enrolled into a prospectively collected registry. Patients were dichotomized based on renewal of, or active opioid prescription at 3-mo and 12-mo postoperatively. The primary outcome measures were risk factors for opioid renewal 3-months and 12-months postoperatively. These primarily included demographic characteristics, operative variables, and in-hospital opioid consumption via morphine milligram equivalence (MME). At the 3-month and 12-month periods, we analyzed the aforementioned covariates with multivariate followed by bivariate regression analyses.

RESULTS

Multivariate and bivariate analyses revealed that script renewal at 3 months was associated with black race (P = 0.001), preoperative narcotic (P < 0.001) or anxiety/depression medication use (P = 0.002), and intraoperative long lumbar (P < 0.001) or thoracic spine surgery (P < 0.001). Lower patient income was also a risk factor for script renewal (P = 0.01). Script renewal at 12 months was associated with younger age (P = 0.006), preoperative narcotics use (P = 0.001), and ≥4 levels of lumbar fusion (P < 0.001). Renewals at 3-mo and 12-mo had no association with MME given during the hospital stay or with the usage of PCA (P > 0.05).

CONCLUSION

The current study describes multiple patient-level factors associated with chronic opioid use. Notably, no metric of perioperative opioid utilization was directly associated with chronic opioid use after multivariate analysis.

Identifying Persistent Opioid Use After Surgery: The Reliability of Pharmacy Dispensation Databases

OBJECTIVE

The present study assessed concordance in perioperative opioid fulfillment data between Michigan's prescription drug monitoring program (PDMP) and a national pharmacy prescription database.

BACKGROUND

PDMPs and pharmacy dispensation databases are widely utilized, yet no research has compared their opioid fulfilment data postoperatively.

METHODS

This retrospective study included participants (N=19,823) from 2 registry studies at Michigan Medicine between July 1, 2016, and February 7, 2019. We assessed the concordance of opioid prescription fulfilment between the Michigan PDMP and a national pharmacy prescription database (Surescripts). The primary outcome was concordance of opioid fill data in the 91 to 180 days after surgical discharge, a time period frequently used to define persistent opioid use. Secondary outcomes included concordance of opioid dose and number of prescriptions fulfilled. Multinomial logistic regression analysis examined concordance across key subgroups.

RESULTS

In total, 3076 participants had ≥1 opioid fulfillments 91 to 180 days after discharge, with 1489 (49%) documented in PDMP only, 243 (8%) in Surescripts only, and 1332 (43%) in both databases. Among participants with fulfillments in both databases, there were differences in the number (n=239; 18%) and dose (n=227; 17%). The PDMP database was more likely to capture fulfillment among younger and publicly insured participants, while Surescripts was more likely to capture fulfillment from counties bordering neighboring states. The prevalence of persistent opioid use was 10.7% using PDMP data, 5.5% using Surescripts data only, and 11.7% using both data resources.

CONCLUSIONS

The state PDMP appears reliable for detecting opioid fulfillment after surgery, detecting 2 times more patients with persistent opioid use compared with Surescripts.

Postoperative Opioid Prescribing and New Persistent Opioid Use: The Risk of Excessive Prescribing

OBJECTIVE

Evaluate the association between postoperative opioid prescribing and new persistent opioid use.

SUMMARY BACKGROUND DATA

Opioid-nave patients who develop new persistent opioid use after surgery are at increased risk of opioid-related morbidity and mortality. However, the extent to which postoperative opioid prescribing is associated with persistent postoperative opioid use is unclear.

METHODS

Retrospective study of opioid-naïve adults undergoing surgery in Michigan from 1/1/2017 to 10/31/2019. Postoperative opioid prescriptions were identified using a statewide clinical registry and prescription fills were identified using Michigan's prescription drug monitoring program. The primary outcome was new persistent opioid use, defined as filling at least 1 opioid prescription between post-discharge days 4 to 90 and filling at least 1 opioid prescription between post-discharge days 91 to 180.

RESULTS

A total of 37,654 patients underwent surgery with a mean age of 52.2 (16.7) years and 20,923 (55.6%) female patients. A total of 31,920 (84.8%) patients were prescribed opioids at discharge. Six hundred twenty-two (1.7%) patients developed new persistent opioid use after surgery. Being prescribed an opioid at discharge was not associated with new persistent opioid use [adjusted odds ratio (aOR) 0.88 (95% confidence interval (CI) 0.71-1.09)]. However, among patients prescribed an opioid, patients prescribed the second largest [12 (interquartile range (IQR) 3) pills] and largest [20 (IQR 7) pills] quartiles of prescription size had higher odds of new persistent opioid use compared to patients prescribed the smallest quartile [7 (IQR 1) pills] of prescription size [aOR 1.39 (95% CI 1.04-1.86) andaOR 1.97 (95% CI 1.442.70), respectively].

CONCLUSIONS

In a cohort of opioid-naïve patients undergoing common surgical procedures, the risk of new persistent opioid use increased with the size of the prescription. This suggests that while opioid prescriptions in and of themselves may not place patients at risk of long-term opioid use, excessive prescribing does. Consequently, these findings support ongoing efforts to mitigate excessive opioid prescribing after surgery to reduce opioid-related harms.

Surgeon Postoperative Opioid Prescribing Intensity and Risk of Persistent Opioid Use Among Opioid-naive Adult Patients: A Population-based Cohort Study

OBJECTIVE

The aim of this study was to determine the relationship between surgeon opioid prescribing intensity and subsequent persistent opioid use among patients undergoing surgery.

SUMMARY BACKGROUND DATA

The extent to which different postoperative prescribing practices lead to persistent opioid use among surgical patients is poorly understood.

METHODS

Retrospective population-based cohort study assessing opioid-naive adults who underwent 1 of 4 common surgeries. For each surgical procedure, the surgeons' opioid prescribing intensity was categorized into quartiles based on the median daily dose of morphine equivalents of opioids dispensed within 7 days of the surgical visit for all the surgeons' patients. The primary outcome was persistent opioid use in the year after surgery, defined as 180 days or more of opioids supplied within the year after the index date excluding prescriptions filled within 30 days of the index date. Secondary outcomes included a refill for an opioid within 30 days and emergency department visits and hospitalizations within 1 year.

RESULTS

Among 112,744 surgical patients, patients with surgeons in the highest intensity quartile (Q4) were more likely to fill an opioid prescription within 7 days after surgery compared with those in the lowest quartile (Q1) (83.3% Q4 vs 65.4% Q1). In the primary analysis, the incidence of persistent opioid use in the year after surgery was rare in both highest and lowest quartiles (0.3% Q4 vs 0.3% Q1), adjusted odds ratio (AOR) of 1.18, 95% CI 0.83-1.66). However, multiple analyses using stricter definitions of persistent use that included the requirement of a prescription filled within 7 days of discharge after surgery showed a significant association with surgeon quartile (up to an AOR 1.36, 95% CI 1.25, 1.47). Patients in Q4 were more likely to refill a prescription within 30 days (4.8% Q4 vs 4.0% Q1, AOR 1.14, 95% CI 1.04-1.24).

CONCLUSIONS

Surgeons' overall prescribing practices may contribute to persistent opioid use and represent a target for quality improvement. However, the association was highly sensitive to the definition of persistent use used.

Perioperative opioids: a narrative review contextualising new avenues to improve prescribing

Opioids have dominated the management of perioperative pain in recent decades with higher doses than ever before used in some circumstances. Through the expanding use of opioids, growing research has highlighted their associated side-effects and the intertwined phenomena of acute withdrawal syndrome, opioid tolerance, and opioid-induced hyperalgesia. With multiple clinical guidelines now endorsing multimodal analgesia, a diverse array of opioid-sparing agents emerges and has been studied to variable degrees, including techniques of opioid-free anaesthesia. It remains unclear to what extent such methods should be adopted, yet current evidence does suggest dependence on opioids as the primary perioperative analgesic might not meet the principles of 'rational prescribing' as described by Maxwell. In this narrative review we describe how, using current evidence, a patient-centred rational-prescribing approach can be applied to opioids in the perioperative period. To contextualise this approach, we discuss the historical adoption of opioids in anaesthesia, our growing understanding of associated side-effects and emerging strategies of opioid-sparing and opioid-free anaesthesia. We discuss avenues and challenges for improving opioid prescribing to limit persistent postoperative opioid use and how these may be incorporated into a rational-prescribing approach.

Exploring incidence and risk factors for persistent postoperative opioid use in adult surgical patients: a systematic review protocol

OBJECTIVE

The objective of this review is to determine the incidence of persistent postsurgical use of opioids in adult patients and the associated risk factors.

INTRODUCTION

Surgery has been identified as an independent risk factor for unwarranted chronic opioid use, contributing to opioid-related harm in the community. Persistent opioid use after surgery is associated with morbidity and mortality from opioid-related adverse events, indicating a significant yet mitigable public health concern. There is substantial variation in the reported incidence and risk factors for postoperative opioid use, which require evaluation for future evidence-based risk-reduction strategies.

INCLUSION CRITERIA

This review will include studies investigating the persistent use of opioids after 90 postoperative days in adult (≥18 y) patients undergoing surgery of any type, including patients with cancer pain. Selected evidence must report on opioid use prior to surgery. Analytical and descriptive observational studies, and experimental and quasi-experimental studies, published in the previous decade will be eligible for inclusion.

METHODS

The proposed study methods follow the JBI methodology for systematic reviews of prevalence and incidence. A systematic search will be conducted in PubMed, Embase, CINAHL, Cochrane Central, and Web of Science, and a search of gray literature will include Google Scholar and ClinicalTrials.gov. Study selection, critical appraisal, and data extraction will be performed by 2 independent reviewers aided by the relevant JBI systematic review tools. We aim to produce a narrative synthesis of results and conduct a meta-analysis where feasible, in addition to subgroup analyses of suitable populations. The results are intended to promote safe, evidence-based postoperative opioid prescribing when considering risk factors for persistent postoperative opioid use.

SYSTEMATIC REVIEW REGISTRATION NUMBER

PROSPERO CRD42022320691.