Prolonged Opioid Use Research Articles

Functional somatic syndromes are associated with inferior outcomes and increased complications after hip and knee arthroplasty: a systematic review

BackgroundFunctional somatic syndromes (FSSs), defined as chronic physical symptoms with no identifiable organic cause, may impact results after hip and knee arthroplasty. The purpose of this study was to perform a systematic review assessing the relationship between FSSs and clinical outcomes after primary total hip arthroplasty (THA), total knee arthroplasty (TKA), and unicompartmental knee arthroplasty (UKA).MethodsThe PubMed and Web of Science databases were queried from January 1955 through December 2021 for studies investigating the impact of at least one FSS (fibromyalgia, irritable bowel syndrome (IBS), chronic headaches, and chronic low back pain) on outcomes after primary THA/TKA/UKA. Outcomes of interest included patient-reported outcome measures (PROMs), postoperative opioid use, complications, revisions, and costs of care.ResultsThere were twenty-eight studies, including 768,909 patients, of which 378,384 had an FSS. Five studies reported preoperative PROMs prior to THA/TKA, all of which showed worse PROMs among patients with at least 1 FSS diagnosis. Thirteen studies reported postoperative PROMs after THA/TKA, all of which demonstrated worse PROMs among patients with at least 1 FSS diagnosis. Patients with FSS diagnoses were more likely to continue using opioids at 3, 6, and 12 months following TKA, THA, and UKA. Medical and surgical complications, as well as revision rates, were higher among patients with FSSs.ConclusionPatients with FSSs have inferior PROMs and are at increased risk for prolonged postoperative opioid use, medical and surgical complications, and revision after hip and knee arthroplasty. Improved understanding of the factors influencing the success of hip and knee arthroplasty is critical. Future studies should address the biopsychosocial determinants of health that can impact outcomes after total joint arthroplasty.

Post-Amputation Pain: Combined Analyses of Randomized Controlled Trials Evaluating Opioids and Gabapentinoids versus Placebo.

An estimated 185,000 patients per year undergo an extremity amputation in the United States (over 500 amputations/day). Prolonged postoperative opioid use, defined as the presence of a filled opioid prescription between 90 and 180 days following the operative amputation procedure, affects nearly 50% of amputees. Moreover, the use of preoperative benzodiazepines, muscle relaxants, anticonvulsants, and antidepressants is strongly linked to prolonged opioid use suggesting new therapeutic strategies are needed. The goal of this study was to better understand how well post-amputation pain is currently treated by selected pharmacologic agents and the success rates of these existing agents. The available literature on PubMed was screened for articles that used randomized-controlled trial (RCT) study designs and gabapentinoids (eg, gabapentin or pregabalin) or opioids (eg, morphine). Two morphine-related RCTs using at least 50% pain reduction responder criteria were combined and qualitatively compared with two gabapentin trials that were previously combined to understand the potential benefits of these drugs in post-amputation pain management compared with placebo. All 4 trials included measured post-amputation pain over a 4- to 6-week acute period. The combined opioid analysis demonstrated a treatment effect that favored morphine (P=0.02) over placebo and indicated the number needed to treat (NNT) of 3.9 (95% CI: 2.5, 9.3) patients. Similarly, the previously combined analysis of gabapentin trials favored gabapentin over placebo and indicated an estimated NNT of 8.9 (95% CI: 5.3, 27.8). Patients undergoing limb amputation have a clear unmet need for more adequate chronic pain control. Given that post-amputation pain is often diagnosed as a chronic condition, persisting for at least 90 days, our data highlight the need for larger sample sizes and longer-term controlled trials to better understand the advantages and disadvantages of chronic use of gabapentinoids and opioids/opioid combination drugs in this patient population.

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.

Greater Mental Health Burden is Associated With Poor Postoperative Pain Control and Increased Opioid Utilization Following Total Shoulder Arthroplasty.

Prolonged opioid use is associated with higher complications and worse patient-reported outcomes following total shoulder arthroplasty (TSA). Identified risk factors for prolonged postoperative use are related to several medical comorbidities, gender, diagnoses of anxiety or depressive disorders, and preoperative opioid use. In this study, we hypothesized that patient-reported mental health characteristics can help to identify patients at risk of worse postoperative pain control, worse sleep, and higher opioid utilization following TSA. Ninety-three consecutive patients were asked to fill out 2 mental health questionnaires prior to undergoing TSA. Following surgery, patients filled out a daily pain diary to track their daily pain, pain medication use, and quality and duration of their sleep for 30 days. Preoperative opioid use and postoperative refill were determined by the New York State Prescription Monitoring Program. Mixed-model linear regressions were conducted. Significance was defined as p < 0.05. Postoperative opioid refill was associated with female gender, preoperative opioid therapy, higher inpatient opioid use, worse anxiety, depression, somatization, and pain catastrophizing scores. The number of days using opioids postoperatively was associated with worse pain catastrophizing scale (PCS) and somatization scores (patient health questionnaire-15). Preoperative opioid therapy was associated with worse somatization scores, whereas no opioids used after surgery were associated with better somatization scores. Worse sleep quality and duration were associated with worse PCS scores. A greater mental health burden is associated with worse postoperative pain control and higher opioid utilization during the acute postoperative period. This is especially evident in the pain catastrophizing and somatization domains.

The Impact of Florida Law HB21 on Opioid Prescribing Patterns After Outpatient Hand Surgery.

The purpose of this study is to evaluate the effects of Florida lae House Bill 21 (HB21) on opioid prescribing patterns by a single orthopedic hand surgeon after outpatient hand and upper extremity surgery. The following variables were evaluated with retrospective chart review before and after implementation of HB21: type of opioid, number of pills, morphine milligram equivalents (MMEs), emergency department visits, and readmissions. In addition, the Florida Prescription Drug Monitoring Program (E-FORCSE [Electronic-Florida Online Reporting of Controlled Substance Evaluation]) was queried to determine the number of pills and MMEs prescribed and sold for the latter cohort. Student t tests, Fisher exact tests, and binary logistic regression were used for statistical analysis. P < .05 was considered significant. We reviewed 231 consecutive patients who underwent hand or upper extremity surgery from July 2017 to July 2018 and 207 consecutive patients from January 2020 to January 2021. The average age was significantly different between the cohorts (48.41 vs 44.98 years, P = .025); however, there were no significant differences across other demographic variables. After controlling for age, the average number of pills prescribed per patient decreased significantly after HB21 (25.11 vs 21.6 pills, P < .001). The number of MMEs prescribed per patient decreased as well, but the decrease was not statistically significant (167.8 vs 154.1 MMEs, P = .054). There was an association between preoperative opioid prescriptions filled and prolonged opioid use (odds ratio 6.438, P = .003). Florida law HB21 resulted in significantly fewer pills prescribed per patient, suggesting that legislation likely changed prescriber behavior and/or patient demand regarding postoperative opioid prescriptions after outpatient hand and upper extremity surgery.

Functional Somatic Syndromes Are Associated With Varied Postoperative Outcomes and Increased Opioid Use After Spine Surgery: A Systematic Review.

Systematic Review. To perform a systematic review assessing the relationship between functional somatic syndromes (FSSs) and clinical outcomes after spine surgery. A systematic review of online databases (PubMed and Web of Science) through December 2021 was conducted via PRISMA guidelines to identify all studies investigating the impact of at least one FSS (fibromyalgia, irritable bowel syndrome (IBS), chronic headaches/migraines, interstitial cystitis, chronic fatigue syndrome, multiple chemical sensitivity) on outcomes after spine surgery. Outcomes of interest included patient reported outcome measures (PROMs), postoperative opioid use, cost of care, complications, and readmission rates. A total of 207 records were identified. Seven studies (n = 40,011 patients) met inclusion criteria with a mean MINORS score of 16.6 out of 24. Four studies (n = 21,086) reported postoperative opioid use; fibromyalgia was a strong risk factor for long-term opioid use after surgery whereas the association with chronic migraines remains unclear. Two studies (n = 233) reported postoperative patient reported outcome measures (PROMs) with mixed results suggesting a possible association between fibromyalgia and less favorable PROMs. One study (n = 18,692) reported higher postoperative complications in patients with fibromyalgia. Patients with fibromyalgia and possibly migraines are at higher risk for prolonged postoperative opioid use and less favorable PROMs after spine surgery. There is limited research on the relationship between other Functional somatic syndromes (FSSs) and outcomes following spine surgery. Growing evidence suggests the variation in outcomes after spine procedures may be attributed to non-identifiable organic patient factors such as FSSs.

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.

Effects of Opioid-Limiting Legislation in the State of Ohio on Opioid Prescriptions After Shoulder Arthroscopy.

Recent studies have shown that legislation regulating opioid prescriptions in the United States has been successful in reducing the morphine milligram equivalent (MME) prescribed after certain orthopaedic procedures. To (1) determine the effect of Ohio's legislation limiting opioid prescriptions after shoulder arthroscopy and (2) identify risk factors associated with prolonged opioid use and increased postoperative opioid dosing. Cohort study; Level of evidence, 3. We reviewed the data of patients who underwent shoulder arthroscopy between January 1, 2016, and March 31, 2020. Patients were classified according to the date of legislation passage (August 31, 2017) as before legislation (PRE) or on/after legislation (POST). Patients were also classified based on the number of opioid prescriptions filled within 30 days of surgery as opioid-tolerant (at least 1 prescription) or opioid-naïve (zero prescriptions). We recorded patient characteristics, medical comorbidities, and surgical details, as well as the number of opioid prescriptions, MME per prescription from 30 days preoperatively to 90 days postoperatively, and the number of gamma-aminobutyric acid (GABA) analogues and benzodiazepine prescriptions from 30 days preoperatively to the date of surgery. Differences between cohorts were compared with the Fisher exact test and Wilcoxon test. A covariate-adjusted regression analysis was used to evaluate risk factors associated with increased postoperative opioid dosing. Overall, 279 patients (n = 97 PRE; n = 182 POST; n = 42 opioid-tolerant; n = 237 opioid-naïve) were included in the final analysis. There was a significant reduction in the cumulative MME prescribed in the immediate (0-7 days) postoperative period (PRE, 450 MME vs POST, 315 MME), the first 30 postoperative days (PRE, 590 MME vs POST, 375 MME), and the first 90 postoperative days (PRE, 600 MME vs POST, 420 MME) (P < .001 for all). The opioid-tolerant cohort had higher MME at every time point in the postoperative period (P < .001). Consumption of preoperative opioid (β = 1682.5; P < .001), benzodiazepine (β = 468.09; P < .001), and GABA analogue (β = 251.37; P = .04) was associated with an increase in the cumulative MME prescribed. Opioid prescription-limiting legislation in Ohio significantly reduced the cumulative MME prescribed in the first 30 days postoperatively for both opioid-naïve and opioid-tolerant patients after shoulder arthroscopy. Consumption of opioids, benzodiazepines, and GABA analogues preoperatively was associated with increased postoperative opioid dosage.

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Association Between Complications after Vascular Surgery and Prolonged Postoperative Opioid Use

Few studies have looked at the long-term risk of opioid use following major vascular surgery and no study has investigated the potential association between major complications and prolonged opioid use. We analyzed a population-based database linked to a prescription database to investigate factors associated with prolonged opioid use following major vascular surgery. This population-based cohort study included all adults who underwent open lower extremity revascularization (LER) or non-ruptured abdominal aortic aneurysm repair (open [AAA] and endovascular [EVAR]) in the province of Ontario, Canada, between 2013-2018. Prolonged opioid use was defined as 2 or more opioid prescriptions filled 6-12 months following surgery. Potential predictors of prolonged use were explored using modified Poisson regression with a generalized estimating equation (GEE) approach to account for the clustering of patients within physicians and institutions. This study included a total of 11,104 patients with 5,652 patients undergoing open LER, 3,285 patients undergoing EVAR, and 2,167 patients undergoing AAA. The rates of prior opioid use were 35.4% for LER, 15.8% for AAA and 14.3% for EVAR. Major complication rates following each procedure were 59.5% for AAA, 35.1% for LER, and 21.0% for EVAR. Following surgery, prolonged opioid use was identified in 26.1% of LER, 13.2% of AAA, and 11.6% of EVAR patients. The strongest predictor of prolonged opioid use was prior use with an OR of 13.27 (95%CI10.63-16.57) for AAA, 11.24 (95%CI 9.18-13.75) for EVAR, and 4.69 (95%CI 4.16-5.29) for LER. The occurrence of a major complication was only associated with prolonged opioid use for patients undergoing LER (OR 1.10; 95% CI:1.03-1.19), while it had a protective effect on patients undergoing EVAR (OR 0.83; 95% CI 0.69-0.99) and no association for patients undergoing open AAA repair (OR 1.11; 95% CI: 0.95-1.29). Older age was also protective with a reduced rate of prolonged opioid use for every 10 years of age increase: AAA (OR 0.87; 95% CI 0.77-0.99); EVAR (OR 0.83; 95% CI: 0.76-0.91); and LER (OR 0.91; 95% CI: 0.87-0.94). Prolonged opioid use is common following major vascular surgery, occurring in over 10% of patients undergoing either open or endovascular aneurysm repair and over 25% of patients undergoing open lower extremity revascularization. Prior opioid use is the strongest predictor for prolonged use, while the occurrence of postoperative complications is associated with a slight increased risk of prolonged use in patients undergoing lower extremity revascularization. These patient populations should be targeted for multimodal methods of opioid reduction following their procedures.

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.

Post-operative Opioid Reduction Protocol Reduces Racial Disparity in Clinical Outcomes in Children

IntroductionRacial disparities in health outcomes continue to exist for children requiring surgery. Previous investigations suggest that clinical protocols may reduce racial disparities. A post-operative opioid reduction protocol was implemented in children undergoing abdominal surgery who were less than 1 years old at a tertiary level hospital. The purpose of this investigation was to determine if the clinical protocol was associated with a reduction in racial disparity in post-operative opioid prescribing patterns and associated clinical outcomes. MethodsA post-operative opioid reduction protocol based on standing intravenous acetaminophen, educational sessions with nursing staff, and standardized post-operative sign-out between the surgical and NICU teams was implemented in children under 1 year old in 2016. A time series and before and after analysis was conducted using a historical pre-intervention cohort (Jan 2011–Dec 2015) and prospectively collected post-intervention cohort (Jan 2016–Jan 2021). Primary outcomes included post-operative opioid use and post-operative pain scores stratified by race. Secondary outcomes included associated clinical outcomes also stratified by race. ResultsA total of 249 children were included in the investigation, 117 in the pre-intervention group and 132 in the post intervention group. The majority of patients in both cohorts were either White or Black. The two cohorts were equally matched in terms of pre-operative clinical variables. In the pre-intervention cohort, the median post-operative morphine equivalents in White children was 2.1 mg/kg (IQR 0.2, 11.1) while in Black children it was 13.1 mg/kg (IQR 2.4, 65.3), p-value = 0.0352. In the post-intervention cohort, the median value for White children and Black children was statistically identical (0.05 mg/kg (IQR 0, 0.5) and 0.0 mg/kg (IQR 0, 0.3), respectively, p-value = 0.237). This pattern was also demonstrated in clinical variables including length of stay, intubation length and total parenteral nutrition use. In the pre-intervention cohort, the total length of stay for white children was 16 days while for black children it was 45 days (p = 0.007). In the postintervention cohort the length of stay for both White and Black children were identical at 8 days (p = 0.748). ConclusionThe use of a clinical opioid reduction protocol implemented at a tertiary medical center was associated with a reduction in racial disparity in opioid prescribing habits in children. Prior to the protocol, there was a racial disparity in clinical variables associated with prolonged opioid use including length of stay, TPN use, and intubation length. The clinical protocol reduced variability in opioid prescribing patterns in all racial groups which was associated with a reduction in variability in associated clinical variables. Level of EvidenceLevel III.

Long-Term Opioid Use After Free Flap Breast Reconstruction: Incidence and Associated Factors

Background: Opioid dependence can occur in 6% to 10% of patients undergoing breast reconstruction. With the expansion of interdisciplinary initiatives to decrease opioid use after surgery, an updated look at the incidence of and risk factors for prolonged opioid dependence after free flap breast reconstruction is essential. Methods: We retrospectively identified all cases of free flap breast reconstruction completed at our institution from 2017 to 2020. Patients undergoing additional surgery within 120 days of the free flap procedure were excluded. Postoperative opioid prescriptions were identified; prolonged opioid use was defined as the receipt of additional prescriptions 91 to 120 days after surgery. Demographic and perioperative variables were assessed for their relationship with prolonged opioid use by logistic regressions. Results: A total of 732 patients were included in the final analysis; of these, 15 patients (2%) received additional opioid prescriptions 91 to 120 days after surgery (ie, had prolonged opioid use). Univariable associations were identified between prolonged opioid use and intraoperative morphine milliequivalents (OR = 2.3 per 50 units [95% CI, 1.5-3.5]; P &lt; .001), opioid prescriptions 31 to 60 days after surgery (OR = 16.1 [95% CI, 4.0-65.0]; P &lt; .001) and 61 to 90 days after surgery (OR = 89.4 [95% CI, 13.7-584.5]; P &lt; .001), and history of substance use disorder (OR = 8.3 [95% CI, 2.2-31.6]; P = .002), anxiety (OR = 3.8 [95% CI, 1.2-12.1]; P = .023), or mood disorder (OR = 12.7 [95% CI, 1.3-121.3]; P = .027). Conclusion: In our cohort, 2% of patients who underwent autologous breast reconstruction (15/732) had prolonged opioid use. The currently used perioperative opioid minimization initiatives may benefit patients undergoing autologous breast reconstruction.

Preoperative Versus Perioperative Risk Factors for Delayed Pain and Opioid Cessation After Total Joint Arthroplasty: A Prospective Cohort Study.

The evolution of pre- versus postoperative risk factors remains unknown in the development of persistent postoperative pain and opioid use. We identified preoperative versus comprehensive perioperative models of delayed pain and opioid cessation after total joint arthroplasty including time-varying postoperative changes in emotional distress. We hypothesized that time-varying longitudinal measures of postoperative psychological distress, as well as pre- and postoperative use of opioids would be the most significant risk factors for both outcomes. A prospective cohort of 188 patients undergoing total hip or knee arthroplasty at Stanford Hospital completed baseline pain, opioid use, and emotional distress assessments. After surgery, a modified Brief Pain Inventory was assessed daily for 3months, weekly thereafter up to 6months, and monthly thereafter up to 1year. Emotional distress and pain catastrophizing were assessed weekly to 6months, then monthly thereafter. Stepwise multivariate time-varying Cox regression modeled preoperative variables alone, followed by all perioperative variables (before and after surgery) with time to postoperative opioid and pain cessation. The median time to opioid and pain cessation was 54 and 152days, respectively. Preoperative total daily oral morphine equivalent use (hazard ratio-HR 0.97; 95% confidence interval-CI 0.96-0.98) was significantly associated with delayed postoperative opioid cessation in the perioperative model. In contrast, time-varying postoperative factors: elevated PROMIS (Patient-Reported Outcomes Measurement Information System) depression scores (HR 0.92; 95% CI 0.87-0.98), and higher Pain Catastrophizing Scale scores (HR 0.85; 95% CI 0.75-0.97) were independently associated with delayed postoperative pain resolution in the perioperative model. These findings highlight preoperative opioid use as a key determinant of delayed postoperative opioid cessation, while postoperative elevations in depressive symptoms and pain catastrophizing are associated with persistent pain after total joint arthroplasty providing the rationale for continued risk stratification before and after surgery to identify patients at highest risk for these distinct outcomes. Interventions targeting these perioperative risk factors may prevent prolonged postoperative pain and opioid use.

Error traps and preventative strategies for adolescent idiopathic scoliosis spinal surgery.

Anesthesia for posterior spinal fusion for adolescent idiopathic scoliosis remains one of the most common surgeries performed in adolescents. These procedures have the potential for significant intraprocedural and postoperative complications. The potential for pressure injuries related to prone positioning must be understood and addressed. Additionally, neuromonitoring remains a mainstay for patient care in order to adequately assess patient neurologic integrity and alert the providers to a reversible action. As such, causes of neuromonitoring signal loss must be well understood, and the provider should have a systematic approach to signal loss. Further, anesthetic design must facilitate intraoperative wake-up to allow for a definitive assessment of neurologic function. Perioperative bleeding risk is high in posterior spinal fusion due to the extensive surgical exposure and potentially lengthy operative time, so the provider should undertake strategies to reduce blood loss and avoid coagulopathy. Pain management for adolescents undergoing spinal fusion is also challenging, and inadequate analgesia can delay recovery, impede patient/family satisfaction, increase the risk of chronic postsurgical pain/disability, and lead to prolonged opioid use. Many of the significant complications associated with this procedure, however, can be avoided with intentional and evidence-based approaches covered in this review.

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.

The Skeletal Oncology Research Group Machine Learning Algorithm (SORG-MLA) for predicting prolonged postoperative opioid prescription after total knee arthroplasty: an international validation study using 3,495 patients from a Taiwanese cohort

BackgroundPreoperative prediction of prolonged postoperative opioid use (PPOU) after total knee arthroplasty (TKA) could identify high-risk patients for increased surveillance. The Skeletal Oncology Research Group machine learning algorithm (SORG-MLA) has been tested internally while lacking external support to assess its generalizability. The aims of this study were to externally validate this algorithm in an Asian cohort and to identify other potential independent factors for PPOU.MethodsIn a tertiary center in Taiwan, 3,495 patients receiving TKA from 2010–2018 were included. Baseline characteristics were compared between the external validation cohort and the original developmental cohorts. Discrimination (area under receiver operating characteristic curve [AUROC] and precision-recall curve [AUPRC]), calibration, overall performance (Brier score), and decision curve analysis (DCA) were applied to assess the model performance. A multivariable logistic regression was used to evaluate other potential prognostic factors.ResultsThere were notable differences in baseline characteristics between the validation and the development cohort. Despite these variations, the SORG-MLA (https://sorg-apps.shinyapps.io/tjaopioid/) remained its good discriminatory ability (AUROC, 0.75; AUPRC, 0.34) and good overall performance (Brier score, 0.029; null model Brier score, 0.032). The algorithm could bring clinical benefit in DCA while somewhat overestimating the probability of prolonged opioid use. Preoperative acetaminophen use was an independent factor to predict PPOU (odds ratio, 2.05).ConclusionsThe SORG-MLA retained its discriminatory ability and good overall performance despite the different pharmaceutical regulations. The algorithm could be used to identify high-risk patients and tailor personalized prevention policy.