Risk Of Prolonged Opioid Use Research Articles

Risk of prolonged postoperative opioid use after elective shoulder replacement: a nationwide cohort study of 5,660 patients from the Danish Shoulder Arthroplasty Registry.

Several studies from the United States report an increased risk of prolonged opioid use after shoulder replacement. We aimed to determine the incidence and risk factors of prolonged opioid use after elective shoulder replacement in a nationwide Danish population. All primary elective shoulder arthroplasties reported to the Danish Shoulder Arthroplasty Registry (DSR) from 2004 to 2020 were screened for eligibility. Data on potential risk factors was retrieved from the DSR and the National Danish Patient Registry while data on medication was retrieved from the Danish National Health Service Prescription Database. Prolonged opioid use was defined as 1 or more dispensed prescriptions on and 90 days after date of surgery (Q1) and subsequently 1 or more dispensed prescriptions 91-180 days after surgery (Q2). Preoperative opioid use was defined as 1 or more dispensed prescriptions 90 days before surgery. Logistic regression models were used to estimate risk factors for prolonged opioid use. We included 5,660 patients. Postoperatively 1,584 (28%) patients were dispensed 1 or more prescriptions in Q1 and Q2 and were classified as prolonged opioid users. Among the 2,037 preoperative opioid users and the 3,623 non-opioid users, 1,201 (59%) and 383 (11%) respectively were classified as prolonged users. Preoperative opioid use, female sex, alcohol abuse, previous surgery, high Charlson Comorbidity index, and preoperative use of either antidepressants, antipsychotics, or benzodiazepines were associated with increased risk of prolonged opioid use. The incidence of prolonged opioid use was 28%. Preoperative use of opioids was the strongest risk factor for prolonged opioid use, but several other risk factors were identified for prolonged opioid use.

Pain management in trauma: the need for trauma-informed opioid prescribing guidelines

Background/objectivesSurgical populations and particularly injury survivors often present with complex trauma that elevates their risk for prolonged opioid use and misuse. Changes in opioid prescribing guidelines during the past several...

Feasibility of implementing a screening tool for risk of opioid misuse in a trauma surgical population.

As the opioid crisis continues to affect communities across the United States, new interventions for screening and prevention are needed to mitigate its impact. Mental health diagnoses have been identified as a risk factor for opioid misuse, and surgical populations and injury survivors are at high risk for prolonged opioid use and misuse. This study investigated the implementation of a novel opioid risk screening tool that incorporated putative risk factors from a recent study in four trauma units across Wisconsin. The screening tool was implemented across a 6-month period at four sites. Data was collected via monthly meeting notes and "Plan, Do, Study, Act" (PDSA) forms. Following implementation, focus groups reflected on the facilitators and barriers to implementation. Meeting notes, PDSA forms, and focus group data were analyzed using the consolidated framework for implementation research, followed by thematic analyses, to generate themes surrounding the facilitators and barriers to implementing an opioid misuse screener. Implementation facilitators included ensuring patient understanding of the screener, minimizing staff burden from screening, and educating staff to encourage engagement. Barriers included infrastructure limitations that prevented seamless administration of the screener within current workflows, overlap of the screener with existing measures, and lack of guidance surrounding treatment options corresponding to risk. Recommended solutions to address barriers include careful timing of screener administration, accommodating workflows, integration of the screening tool within the electronic health record, and evidence-based interventions guided by screener results. Four trauma centers across Wisconsin successfully implemented a pilot opioid misuse screening tool. Trauma providers and unit staff members believe that this tool would be a beneficial addition to their repertoire if their recommendations were adopted. Future research should refine opioid misuse risk factors and ensure screening items are well-validated with psychometric research supporting treatment responses to screener-indicated risk categories.

Risk Factors Associated With Prolonged Opioid Use After Revision Total Shoulder Arthroplasty.

The purpose of this study was to determine which preoperative factors are associated with prolonged opioid use after revision total shoulder arthroplasty (TSA). The M157Ortho PearlDiver database was used to identify patients undergoing revision TSA between 2010 and 2021. Opioid use for longer than 1 month after surgery was defined as prolonged opioid use. Postoperative opioid use from 1 to 3 months was independently assessed. Multivariable logistic regression was used to evaluate the association between preoperative patient-related risk factors (age, Charlson Comorbidity Index, sex, depression, anxiety, substance use disorder, opioid use between 12 months to 1 week of surgery, tobacco use, hypertension, diabetes mellitus, chronic obstructive pulmonary disease, osteoporosis, previous myocardial infarction, and chronic ischemic heart disease) with prolonged postoperative opioid use. Odds ratios (OR) and their associated 95% confidence intervals (CI) were calculated for each risk factor. A total 14,887 patients (mean age = 67.1 years) were included. Most of the patients were female (53.3%), and a large proportion were opioid familiar (44.1%). Three months after revision TSA, older age (OR = 0.96, CI 0.96 to 0.97) and male sex (OR = 0.90, CI 0.81 to 0.99) were associated with a decreased risk of prolonged postoperative opioid usage. Patients with preexisting depression (OR = 1.21, CI 1.08 to 1.35), substance use disorder (OR = 1.47, CI 1.29 to 1.68), opioid use (OR = 16.25, CI 14.27 to 18.57), and chronic obstructive pulmonary disorder (OR = 1.24, CI 1.07 to 1.42) were at an increased risk of prolonged postoperative opioid use. Older age and male sex were associated with a decreased risk of prolonged opioid use after revision TSA. Depression, substance use disorder, opioid familiarity, and COPD were associated with prolonged opioid use after revision TSA.

The effect of concurrent cervical spine degenerative disease on the outcome of rotator cuff repair: a national database study

Cervical spine degenerative disease (CSD) can cause shoulder pain, potentially confounding the management of patients with rotator cuff tears. This study aimed to investigate the relationships between CSD and rotator cuff repair (RCR). A national administrative database (PearlDiver) was used to study 4 patient cohorts: (1) RCR only (RCRo), (2) RCR with concurrent CSD (RCRC), (3) RCR after a cervical spine procedure (RCRA), and (4) RCR before a cervical spine procedure (RCRB). The outcomes of RCR were compared using multivariable logistic regression, controlling for age, sex, and Elixhauser Comorbidity Index, as well as preoperative opioid utilization in the analysis of opioid use. Between 2010 and 2021, a total of 889,977 patients underwent RCR. Of these patients, 784,230 (88%) underwent RCRo whereas 105,747 (12%) underwent RCRC, of whom 21,585 (2.4%) underwent cervical spine procedures (RCRA in 9670 [1.1%] and RCRB in 11,915 [1.3%]). At 2 years after RCR, compared with RCRo patients, RCRC patients had an increased risk of surgical-site infection (adjusted odds ratio [aOR]=1.25, P=.0004), deep vein thrombosis (aOR=1.17, P=.0002), respiratory complications (aOR=1.19, P=.0164), and ipsilateral shoulder reoperations (débridement [aOR=1.66, P<.0001], manipulation under anesthesia or arthroscopic lysis of adhesions [aOR=1.23, P<.0001], distal clavicle excision [aOR=1.78, P<.0001], subacromial decompression [aOR=1.72, P<.0001], biceps tenodesis [aOR=1.76, P<.0001], incision and drainage [aOR=1.34, P=.0020], synovectomy [aOR=1.48, P=.0136], conversion to shoulder arthroplasty [aOR=1.62, P<.0001], revision RCR [aOR=1.77, P<.0001], and subsequent contralateral RCR [aOR=1.71, P<.0001]). At 2 years, compared with RCRC patients who did not undergo cervical spine procedures, RCRC patients who underwent cervical spine procedures had an increased risk of incision and drainage (aOR=1.50, P=.0255), conversion to arthroplasty (aOR=1.40, P<.0001), and revision RCR (aOR=1.11, P=.0374), as well as a lower risk of contralateral RCR (aOR=0.89, P=.0469). The sequence of cervical spine procedures did not affect the risk of shoulder reoperations. At 1 year, the risk of opioid use after RCR was less for RCRA patients compared with RCRB patients (aOR=1.71 [95% confidence interval, 1.61-1.80; P<.0001] vs. aOR=2.01 [95% confidence interval, 1.92-2.12; P<.0001]). Concurrent CSD has significant detrimental effects on RCR outcomes. Patients with concurrent CSD undergoing cervical spine procedures have a greater risk of ipsilateral shoulder reoperations but a decreased risk of contralateral RCR. The risk of prolonged opioid use was lower if RCR followed a cervical spine procedure. Concurrent CSD must be considered and possibly treated to optimize the outcomes of RCR.

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

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

External validation of machine learning algorithm predicting prolonged opioid prescriptions in opioid-naïve lumbar spine surgery patients using a Taiwanese cohort

Identifying patients at risk of prolonged opioid use after surgery prompts appropriate prescription and personalized treatment plans. The Skeletal Oncology Research Group machine learning algorithm (SORG-MLA) was developed to predict the risk of prolonged opioid use in opioid-naive patients after lumbar spine surgery. However, its utility in a distinct country remains unknown. A Taiwanese cohort containing 2795 patients who were 20 years or older undergoing primary surgery for lumbar decompression from 2010 to 2018 were used to validate the SORG-MLA. Discrimination (area under receiver operating characteristic curve [AUROC] and area under precision-recall curve [AUPRC]), calibration, overall performance (Brier score), and decision curve analysis were applied. Among 2795 patients, the prolonged opioid prescription rate was 5.2%. The validation cohort were older, more inpatient disposition, and more common pharmaceutical history of NSAIDs. Despite the differences, the SORG-MLA provided a good discriminative ability (AUROC of 0.71 and AURPC of 0.36), a good overall performance (Brier score of 0.044 compared to that of 0.039 in the developmental cohort). However, the probability of prolonged opioid prescription tended to be overestimated (calibration intercept of -0.07 and calibration slope of 1.45). Decision curve analysis suggested greater clinical net benefit in a wide range of clinical scenarios. The SORG-MLA retained good discriminative abilities and overall performances in a geologically and medicolegally different region. It was suitable for predicting patients in risk of prolonged postoperative opioid use in Taiwan.

Poster 211: Prolonged Opioid Use Following Distal Radius Fracture Fixation: Who is at Risk?

Objectives: Opioid pain medication is most commonly prescribed after distal radius fracture fixation, and there is high variability in the quantity and duration prescribed. Comorbidities including substance use and depression have been associated with higher consumption habits and increased sizes of postoperative opioid prescriptions has been previously linked to increasing risk of chronic opioid use and opioid use disorder. The purpose of this study was to investigate opioid prescription patterns after distal radius fracture fixation and identify patient specific risk factors for increased postoperative opioid consumption. Methods: A retrospective review of 34,629 opioid-naïve patients was conducted. Demographic, comorbidity, complication data and prescription pharmacy claims were analyzed. Patients were sorted according to the number of postoperative prescription refills of opioid pain medication. Results: Seventy-three percent of patients required no additional refills outside the perioperative window. Twenty percent required additional refill prescriptions and 6.4% of patients continued to fill opioid medication beyond 6-months postoperatively. Multiple factors increased the risk for increased opioid use including medical and surgical complications, substance use, diabetes,cardiovascular disease, and obesity. Patients with longer duration of opioid use postoperatively had higher rates of medical and surgical complications. Perioperative prescription quantities were 62.9, 78.6, 83.3 tablets for No Refill, Refill, and Prolonged Use groups, respectively. Conclusions: Many patient-specific factors for prolonged opioid consumption after distal radius fracture fixation can be identified prior to prescribing postoperative pain management. Patients most at risk for prolonged opioid use can be targeted for alternative pain management options. Surgeons should take a more patient specific approach in prescribing opioid medication after distal radius fracture fixation. [Table: see text][Table: see text][Table: see text][Table: see text]

Machine Learning Algorithms Can Be Reliably Leveraged to Identify Patients at High Risk of Prolonged Postoperative Opioid Use Following Orthopedic Surgery: A Systematic Review.

Background: Machine learning (ML) has emerged as a method to determine patient-specific risk for prolonged postoperative opioid use after orthopedic procedures. Purpose: We sought to analyze the efficacy and validity of ML algorithms in identifying patients who are at high risk for prolonged opioid use following orthopedic procedures. Methods: PubMed, EMBASE, and Web of Science Core Collection databases were queried for articles published prior to August 2021 for articles applying ML to predict prolonged postoperative opioid use following orthopedic surgeries. Features pertaining to patient demographics, surgical procedures, and ML algorithm performance were analyzed. Results: Ten studies met inclusion criteria: 4 spine, 3 knee, and 3 hip. Studies reported postoperative opioid use over 30 to 365 days and varied in defining prolonged use. Prolonged postsurgical opioid use frequency ranged from 4.3% to 40.9%. C-statistics for spine studies ranged from 0.70 to 0.81; for knee studies, 0.75 to 0.77; and for hip studies, 0.71 to 0.77. Brier scores for spine studies ranged from 0.039 to 0.076; for knee, 0.01 to 0.124; and for hip, 0.052 to 0.21. Seven articles reported calibration intercept (range: -0.02 to 0.16) and calibration slope (range: 0.88 to 1.08). Nine articles included a decision curve analysis. No investigations performed external validation. Thematic predictors of prolonged postoperative opioid use were preoperative opioid, benzodiazepine, or antidepressant use and extremes of age depending on procedure population. Conclusions: This systematic review found that ML algorithms created to predict risk for prolonged postoperative opioid use in orthopedic surgery patients demonstrate good discriminatory performance. The frequency and predictive features of prolonged postoperative opioid use identified were consistent with existing literature, although algorithms remain limited by a lack of external validation and imperfect adherence to predictive modeling guidelines.

The Use of Opioids in the Management of Chronic Pain: Synopsis of the 2022 Updated U.S. Department of Veterans Affairs and U.S. Department of Defense Clinical Practice Guideline.

In May 2022, leadership within the U.S. Department of Veterans Affairs (VA) and U.S. Department of Defense (DoD) approved a joint clinical practice guideline for the use of opioids when managing chronic pain. This synopsis summarizes the recommendations that the authors believe are the most important to highlight. In December 2020, the VA/DoD Evidence-Based Practice Work Group assembled a team to update the 2017 VA/DoD Clinical Practice Guideline for Opioid Therapy for Chronic Pain. The guideline development team included clinical stakeholders and conformed to the National Academy of Medicine's tenets for trustworthy clinical practice guidelines. The guideline team developed key questions to guide a systematic evidence review that was done by an independent third party and distilled 20 recommendations for care using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) system. The guideline team also created 3 one-page algorithms to help guide clinical decision making. This synopsis presents the recommendations and highlights selected recommendations on the basis of clinical relevance. This guideline is intended for clinicians who may be considering opioid therapy to manage patients with chronic pain. This synopsis reviews updated recommendations for the initiation and continuation of opioid therapy; dose, duration, and taper of opioids; screening, assessment, and evaluation; and risk mitigation. New additions are highlighted, including recommendations about the use of buprenorphine instead of full agonist opioids; assessing for behavioral health conditions and factors associated with higher risk for harm, such as pain catastrophizing; and the use of pain and opioid education to reduce the risk for prolonged opioid use for postsurgical pain.

Risk Factors for Prolonged Opioid Use Following Total Hip Arthroplasty and Total Knee Arthroplasty: A Narrative Review of Recent Literature.

To provide pharmacists and other health care professionals with the knowledge required to minimize the risk of prolonged opioid use following total hip arthroplasty (THA) and total knee arthroplasty (TKA). A literature search of PubMed and Embase was performed, and included the search terms: (opioid OR opiate OR opium) AND (risk factor OR predict*) AND (arthroplasty OR replacement) NOT shoulder. Randomized control trials, cohort studies (both prospective and retrospective), systematic reviews, and meta-analyses were included if risk ratios (RRs) or odds ratios (ORs) were reported and published within the last 5 years. ]Twenty studies met inclusion criteria, including 2 meta-analyses and 2 prospective studies. There were several risk factors that overlapped between studies and presented clinically significant risks for prolonged opioid use following THA and TKA surgery. Of these, age < 65 (RRs: 1.15-9.36), preoperative opioid use (RRs: 1.09-7.81), larger quantities of opioids prescribed at discharge (RRs: 1.26-8.81), and TKA surgery (RRs: 1.73-6.07) were the most significant. Several risk factors were recently described, including migraines (RRs: 1.14-5.11) and fibromyalgia (RRs: 1.1-2.3) that may be of interest for further research. This review presents a discussion of the factors associated with prolonged opioid use following THA and TKA surgeries, which are among the most common orthopedic surgeries. Prescribers should carefully consider patient-specific factors when prescribing opioids as there are several factors, including age, surgery type, and medical conditions that can predispose patients to prolonged opioid use.

Benzodiazepines and Related Drugs in Orthopaedics.

Benzodiazepines are among the most commonly prescribed drugs worldwide and are often used as anxiolytics, hypnotics, anticonvulsants, and muscle relaxants. The risk of dependence on and abuse of these medications has recently gained more attention in light of the current opioid epidemic. Benzodiazepines can increase the risk of prolonged opioid use and abuse. Given the prevalence of the use of benzodiazepines and related drugs, orthopaedic patients are often prescribed these medications. Orthopaedic surgeons need to be aware of the prevalence of benzodiazepine and related drug prescriptions in the general population, their current uses in orthopaedic surgery, and the risks and adverse effects of their use.

Prolonged Opioid Use After Lumbar Fusion Surgery: A Meta-Analysis of Prevalence and Risk Factors

Persistent opioid utilization after spine surgery is a rising complication among both preoperatively opioid-naïve and opioid-tolerant patients. To our knowledge, this is the first meta-analysis to determine the prevalence and characterize the risk factors that predispose patients to prolonged opioid use (≥3months) after lumbar fusion. Studies were identified through searches in PubMed and EMBASE from each database's earliest records to February 1, 2022. We included observational studies examining the risk factors and rates of prolonged opioid use following lumbar fusion. Pooled odds ratios (ORs) or standardized mean differences with corresponding 95% confidence intervals (CI) were estimated using inverse-variance methods. In this meta-analysis of 12 studies encompassing 80,935 patients, 40.2% of patients continued to fill opioid prescriptions ≥3months after lumbar fusion. Significant sociodemographic predictors included Medicare or Medicaid insurance (OR=1.60, 95% CI 1.36-1.88), African-American ethnicity (OR=1.29, 95% CI 1.18-1.41), being from the Southern United States (OR=1.18, 95% CI 1.11-1.25), or women (OR=1.10, 95% CI 1.01-1.20). Being from the Midwestern United States (OR=0.80, 95% CI 0.75-0.85) was found to be a protective factor. Comorbidities associated with increased risk of prolonged opioid use were preoperative opioid use (OR=5.76, 95% CI 3.52-9.41), drug abuse (OR=3.11, 95% CI 2.37-4.08), alcohol abuse (OR=2.37, 95% CI 2.14-2.64), psychiatric disorders (OR=2.29, 95% CI 1.94-2.70), smoking history (OR=1.81, 95% CI 1.23-2.66), arthritis (OR=1.35, 95% CI 1.29-1.40), and higher American Society of Anesthesiologists score (standardized mean difference=0.72, 95% CI 0.61-0.82). The high prevalence of prolonged opioid use after lumbar fusion underscores the importance of screening patients for comorbidities and implementing targeted strategies to minimize opioid misuse.

Preoperative Patient-Reported Data Indicate the Risk of Prolonged Opioid Use After Hand and Upper Extremity Surgeries

Opioids play an important role in pain management after surgery but also increase the risk of prolonged opioid use in patients. The identification of patients who are more likely to use opioids after intended short-term treatment is critical for employing alternative management approaches or targeted interventions for the prevention of opioid-related problems. We used patient-reported data (PRD) and electronic health record information to identify factors predictive of prolonged opioid use after surgery. We used our institutional registry containing data on all patients who underwent elective upper extremity surgeries. We evaluated factors associated with prolonged opioid use in the cohort from the year 2018 to 2019. We then validated our results using the 2020 cohort. The predictive variables included preoperative PRD and electronic health record data. Opioid use was determined based on patient reports and/or filled opioid prescriptions 3 months after surgery. We conducted bivariate regression, followed by multivariable regression analyses, and model validation using area under the receiver operating curve. We included 2,114 patients. In our final model on the 2018-2019 electronic health records and PRD data (n= 1,589), including numerous patient-reported outcome questionnaire scores, patients who were underweight and had undergone trauma-related surgery had higher odds of being on opioids at 3 months. Additionally, each 5-unit decrease in the preoperative Patient-Reported Outcomes Measurement Information System Global Physical Health score was associated with a 30% increased odds of being on opioids at 3 months. The area under the receiver operating curve of our model was 70.4%. On validation using data from the 2020 cohort, the area under the receiver operating curve was 60.3%. The Hosmer-Lemeshow test indicated a good fit. We found that preoperative questionnaire scores were associated with prolonged postoperative opioid use, independent of other variables. Furthermore, PRD may provide unique patient-level insights, alongside other factors, to improve our understanding of postsurgical pain management. Prognostic II.

A Safe Number of Perioperative Opioids to Reduce the Risk of New Persistent Usage Among Opioid-Naïve Patients Following Total Joint Arthroplasty

BackgroundHigher initial opioid dosing increases the risk of prolonged opioid use following total joint arthroplasty (TJA), and the safe amounts to prescribe are unknown. We examined the relationship between perioperative opioid exposure and new persistent usage among opioid-naïve patients after total knee and hip arthroplasty. MethodsIn this retrospective cohort study, 22,310 opioid-naïve patients undergoing primary TJA between 2018 and 2019 were identified within a commercial claims database. Perioperative opioid exposure was defined as total dose of opioid prescription in morphine milligram equivalents (MME) between 1 month prior to and 2 weeks after TJA. New persistent usage was defined as at least one opioid prescription between 90 and 180 days postoperatively. Multivariate regression analyses were performed to examine the relationship between the perioperative dosage group and the development of new persistent usage. ResultsFor the total patient cohort, 8.1% developed new persistent usage. Compared to patients who received <300 MME, patients who received 600-900 MME perioperatively had a 77% increased risk of developing new persistent usage (odds ratio 1.77, 95% CI, 1.44-2.17), and patients who received ≥1,200 MME perioperatively had a 285% increased risk (odds ratio 3.85, 95% CI, 3.13-4.74). ConclusionWe found a dose-dependent association between perioperative MME and the risk of developing new persistent usage among opioid-naïve patients following TJA. We recommend prescribing <600 MME (equivalent to 80 pills of 5 mg oxycodone) during the perioperative period to reduce the risk of new persistent usage. Level of evidenceLevel III.

Prescription Patterns, Associated Factors, and Outcomes of Opioids for Operative Foot and Ankle Fractures: A Systematic Review.

Pain management after foot and ankle surgery must surmount unique challenges that are not present in orthopaedic surgery performed on other parts of the body. However, disparate and inconsistent evidence makes it difficult to draw meaningful conclusions from individual studies. In this systematic review, we asked: what are (1) the patterns of opioid use or prescription (quantity, duration, incidence of persistent use), (2) factors associated with increased or decreased risk of persistent opioid use, and (3) the clinical outcomes (principally pain relief and adverse events) associated with opioid use in patients undergoing foot or ankle fracture surgery? We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for our review. We searched PubMed, Embase, Scopus, Cochrane, and Web of Science on October 15, 2021. We included studies published from 2010 to 2021 that assessed patterns of opioid use, factors associated with increased or decreased opioid use, and other outcomes associated with opioid use after foot or ankle fracture surgery (principally pain relief and adverse events). We excluded studies on pediatric populations and studies focused on acute postoperative pain where short-term opioid use (< 1 week) was a secondary outcome only. A total of 1713 articles were assessed and 18 were included. The quality of the 16 included retrospective observational studies and two randomized trials was evaluated using the Methodological Index for Non-Randomized Studies criteria and the Jadad scale, respectively; study quality was determined to be low to moderate for observational studies and good for randomized trials. Mean patient age ranged from 42 to 53 years. Fractures studied included unimalleolar, bimalleolar, trimalleolar, and pilon fractures. Proportions of postoperative persistent opioid use (defined as use beyond 3 or 6 months postoperatively) ranged from 2.6% (546 of 20,992) to 18.5% (32 of 173) and reached 39% (28 of 72) when including patients with prior opioid use. Among the numerous associations reported by observational studies, two or more preoperative opioid prescriptions had the strongest overall association with increased opioid use, but this was assessed by only one study (OR 11.92 [95% confidence interval (CI) 9.16 to 13.30]; p < 0.001). Meanwhile, spinal and regional anesthesia (-13.5 to -41.1 oral morphine equivalents (OME) difference; all p < 0.01) and postoperative ketorolac use (40 OME difference; p = 0.037) were associated with decreased opioid consumption in two observational studies and a randomized trial, respectively. Three observational studies found that opioid use preoperatively was associated with a higher proportion of emergency department visits and readmission (OR 1.41 to 17.4; all p < 0.001), and opioid use at 2 weeks postoperatively was associated with slightly higher pain scores compared with nonopioid regimens (β = 0.042; p < 0.001 and Likert scale 2.5 versus 1.6; p < 0.05) in one study. Even after noting possible inflation of the harms of opioids in this review, our findings nonetheless highlight the need for opioid prescription guidelines specific for foot and ankle surgery. In this context, surgeons should utilize short (< 1 week) opioid prescriptions, regional anesthesia, and multimodal pain management techniques, especially in patients at increased risk of prolonged opioid use. Level III, therapeutic study.

Literature Review for Office-Based Anesthesia

Literature Review for Office-Based Anesthesia

Multiple Opioid Prescribers During the Perioperative Period Increases Opioid Consumption Following Upper Extremity Surgery: A Multicenter Analysis.

BackgroundOpioid prescribing practices have been an area of interest for orthopedic surgeons in the wake of the opioid epidemic. Previous studies have investigated the effects of a multitude of patient-specific risk factors on prolonged opioid use postoperatively. However, to date, there is a lack of studies examining the effects of multiple prescribers during the perioperative period and their potential contribution to prolonged opioid use postoperatively. This study aimed to investigate if multiple unique opioid prescribers perioperatively predispose patients to prolonged opioid use following upper extremity surgery. Second, we compared opioid prescribing patterns among different medical specialties.MethodologyThis retrospective study was conducted at three academic institutions. Between April 30, 2018, and August 30, 2019, 634 consecutive patients who underwent one of three upper extremity procedures were included in the analysis: carpal tunnel release (CTR), basal joint arthroplasty (BJA), or distal radius fracture open reduction and internal fixation (DRF ORIF). Prescription information was collected using the state Prescription Drug Monitoring Program (PDMP) online database from a period of three months preoperatively to six months postoperatively. A Google search was performed to group prescriptions by medical specialty. Dependent outcomes included whether patients filled an additional opioid prescription postoperatively and prolonged opioid use (defined as opioid use three to six months postoperatively).ResultsIn total, 634 patients were identified, including 276 CTRs, 217 DRF ORIFs, and 141 BJAs. This consisted of 196 males (30.9%) and 438 females (69.1%) with an average age of 59.4 years (SD: 14.7 years). By six months postoperatively, 191 (30.1%) patients filled an additional opioid prescription, and 89 (14.0%) experienced prolonged opioid use. In total, 235 (37.1%) patients had more than one unique opioid prescriber during the study period (average 2.5 prescribers). Patients with more than one unique opioid prescriber were significantly more likely to have received overlapping opioid prescriptions (15.7% vs. 0.8%, p<.001), to have filled an additional opioid prescription postoperatively (63.8% vs 10.3%, p<.001), and to have experienced prolonged opioid use postoperatively (35.3% vs 1.5%, p<.001) compared to patients with only one opioid prescriber. Patients with multiple unique prescribers filled more opioid prescriptions compared to those with a single prescriber (2.8 refills vs 1.8 refills, p=.035). Within six months postoperatively, 71.4% of opioid refills were written by non-orthopedic providers. Opioid refills written by non-orthopedic prescribers were written for a significantly greater number of pills (68.4 vs. 27.9, p<.001), for a longer duration (22.2 vs. 6.2 days, p<.001), and for larger total morphine milligram equivalents per prescription (831.4 vs. 169.8, p<.001) compared to those written by orthopedic prescribers.ConclusionsPatients with multiple unique opioid prescribers during the perioperative period are at a higher risk for prolonged opioid use postoperatively. Non-orthopedic providers were the highest prescribers of opioids postoperatively, and they prescribed significantly larger and longer prescriptions. Our findings highlight the value of utilizing PDMP databases to help curtail opioid overprescription and potential adverse opioid-related outcomes following upper extremity surgery.

Community Opioid Dispensing After Injury (CODI): Protocol for a Population-Based Data Linkage Study

BackgroundThere is an urgent need to reduce preventable deaths and hospitalizations from prescription opioid harms and minimize the negative effect opioid misuse can have on injured individuals, families, and the wider community. Data linkage between administrative hospitalization records for injured patients and community opioid dispensing can improve our understanding of the health and surgical trajectories of injured persons and generate insights into corresponding opioid dispensing patterns.ObjectiveThe Community Opioid Dispensing after Injury (CODI) study aims to link inpatient hospitalization data with opioid dispensing data to examine the distribution and predictive factors associated with high or prolonged community opioid dispensing among adults, for 2 years following an injury-related hospital admission.MethodsThis is a retrospective population-based cohort study of adults aged 18 years or older hospitalized with an injury in Queensland, Australia. The study involves the linkage of statewide hospital admissions, opioid prescription dispensing, and mortality data collections. All adults hospitalized for an injury between January 1, 2014, and December 31, 2015, will be included in the cohort. Demographics and injury factors are recorded at the time of the injury admission. Opioid dispensing data will be linked and extracted for 3 months prior to the injury admission date to 2 years after the injury separation date (last date December 31, 2017). Deaths data will be extracted for the 2-year follow-up period. The primary outcome measure will be opioid dispensing (frequency and quantity) in the 2 years following the injury admission. Patterns and factors associated with community opioid dispensing will be examined for different injury types, mechanisms, and population subgroups. Appropriate descriptive statistics will be used to describe the cohort. Regression models will be used to examine factors predictive of levels and duration of opioid use. Nonparametric methods will be applied when the data are not normally distributed.ResultsThe project is funded by the Royal Brisbane and Women’s Hospital Foundation. As of November 2021, all ethics and data custodian approvals have been granted. Data extraction and linkage has been completed. Data management and analysis is underway with results relating to an analysis for blunt chest trauma patients expected to be published in 2022.ConclusionsLittle is currently known of the true prevalence or patterns of opioid dispensing following injury across Queensland. This study will provide new insights about factors associated with high and long-term opioid dispensing at a population level. This information is essential to inform targeted public policy and interventions to reduce the risk of prolonged opioid use and dependence for those injured. The novel work undertaken for this project will be vital to planning, delivering, monitoring, and evaluating health care services for those injured. The findings of this study will be used to inform key stakeholders as well as clinicians and pain management services.International Registered Report Identifier (IRRID)RR1-10.2196/36357

Opioid consumption in patients undergoing Roux-en-Y bariatric surgery compared with population controls with and without obesity.

Patients with obesity are prescribed more opioids than the general population. To compare opioid consumption in patients with obesity who underwent Roux-en-Y bariatric surgery (RYGB) with population controls with and without obesity, not undergoing bariatric surgery, and to identify characteristics associated with opioid use. This study included all patients with a principal diagnosis of obesity, aged 18-72 years, with a RYGB surgical code in the Swedish Patient Register between 2007 and2013. RYGB patients (n = 23,898) were age- and sex-matched with 1 control patient with obesity (n = 23,898) and 2 population controls without obesity (n = 46,064). Participants were classified as nonconsumers and consumers based on their opioid dispensations during the 12 months before baseline. Opioid consumption was assessed for 24 months. Nonconsumers. Within 24 months, a significantly higher proportion of RYGB patients (16.6%) started using opioids compared with the controls with obesity (14.3%, P < .0001) and population controls (5.4%, P < .0001). RYGB patients and controls with obesity had higher median dailyintake of opioid morphine equivalent (MEQ) (2.8 mg/d) than population controls (2.5 mg/d, P < .0001). Consumers. Within 24 months, the proportion of RYGB patients and controls with obesity that was using opioids were similar (53.1% and 53.4%), but higher compared to population controls (38.0%, P < .0001). The median daily opioid MEQ was higher among RYGB patients than in population controls (10.5 versus 7.8 mg/d, P < .0001). RYGB patients, overall, had higher incidence of bowel surgery and cholecystectomy compared with controls with obesity and population controls, leading to prolonged opioid use in this group. Opioid consumption in general was associated with chronic pain and psychiatric disorder, which were more common in patients with obesity than in the population controls. RYGB surgery increased the risk of prolonged opioid use in patients with obesity who were nonconsumers before surgery but had no effect on overall opioid use among prior consumers. RYGB-associated complications requiring surgery influenced opioid use for both nonconsumers and consumers. Regular reassessments of pain mechanisms and specific treatment owing to type of paincould prevent unnecessary opioid use in this patient group.