Risk Of Opioid Use Research Articles

Prior Antidepressant Prescription is Associated with Greater Opioid Prescriptions and Complications in Cervical Spine Surgery

Study Design: Retrospective cohort study of national database. Objective: This study evaluates the impact of antidepressant prescriptions on postoperative outcomes and complications in cervical spine surgery. Summary of Background Data: Patients who underwent cervical spine surgery often receive antidepressant prescriptions (ADP) to address concurrent mental health issues such as depression and anxiety. However, the use of antidepressants can affect bone metabolism. Yet, there is an opacity in the literature regarding the effects of ADP on outcomes of cervical spine surgery. Methods: Utilizing the TriNetX database, ACDF and Cervical Arthroplasty patients were matched on a 1:1 basis according to ADP status. Outcome variables such as emergency department visits, hospital readmissions, opioid prescription, and misuse, pseudoarthrosis, adjacent segment disease, and hardware failure were evaluated over follow-up periods ranging from 2 to 24 months. Results: In a matched sample of 12,838 patients, those with ADP exhibited significantly higher rates of opioid prescriptions at 2 weeks (OR 1.34, P<0.0001), 6 months (OR 1.36, P<0.0001), 12 months (OR 1.36, P<0.0001), and 24 months (OR 1.33, P<0.0001). Emergency Department visits were significantly higher at 6 months (OR 1.11, P=0.0082) and 24 months (OR 1.083, P=0.014). Opioid abuse is notably higher by 24 months (OR 1.37, P=0.0033). Hospitalization rates were significantly increased at 12 months (OR 1.16, P=0.0013) and 24 months (OR 1.18, P<0.0001). Adjacent segment disease (OR 1.54, P<0.0001 at 24 mo), hardware failure (OR 1.42, P=0.013 at 24 mo), and pseudarthrosis (OR 1.48, P<0.0001 at 24 mo) were also significantly higher in the ADP group. Conclusions: Patients with ADP undergoing cervical spine surgery experience higher risks of opioid use and abuse, increased hospital readmissions, emergency department visits, and a higher rate of mechanical complications. Level of Evidence: III

Knowledge and Attitudes of Medical and Pharmacy Graduates about Opioids Prescription and Dispensation in 2022 in Bamako, Mali

Opioids are medications with analgesic properties used primarily as painkillers. Nowadays, off-label uses (non-medical use, prolonged use, misuse and use without a medical supervision) are common inducing drug dependence with harmful consequences including substance-induced psychosis or pharmacopsychosis. In a cross-sectional study from February to June 2021, we used a questionnaire to collect information on the knowledge of interns and doctors trained in the Faculty of Medicine and Dental Medicine and the Faculty of Pharmacy at the University of Sciences, Bamako Techniques and Technologies (USTTB) on opioids in eight (8) public health facilities (5 university hospitals and 3 district hospitals) in Bamako. We analyzed the data with SPSS software version 25.0. A total of 400 health workers participated in the study with 62.5% of medical students (250/400), 31.0% of pharmacy students (124/400) and 6.5% of general practitioners (26/400). More than 70.0% of our respondents were aware that there is a regulatory framework for prescribing and dispensing opioids in Mali. Level 2 opioids were dispensed in 29.0% of cases at the patient’s verbal request and 30.6% by telephone. However, level 3 opioids were dispensed in 0.8% of cases at the patient’s verbal request and in 3.2% of cases by telephone call. Medical students in 60.0%, pharmacy students in 64.5% and general practitioners in 50.0% had very good knowledge about the risks of opioid use. For 23.0%, general practitioners had at least a good knowledge of opioid indications. Participants had a good understanding of the risks and benefits of opioids. Keywords: Attitudes, Knowledge, Opioïds, Mali

Frequent use of prescription NSAIDs among people with knee or hip osteoarthritis despite contraindications to or precautions with NSAIDs

ObjectiveTo describe use of Non-steroidal Anti-inflammatory Drugs (NSAID), opioid, and physiotherapy (PT) among persons with newly diagnosed knee or hip osteoarthritis (OA) with and without NSAID contraindications or precautions. DesignWe used population-based register data to identify adults aged ≥35 as of January 1, 2014 residing in Skåne region (Sweden) between 2004-2013, without a previous knee or hip OA diagnosis. Among this cohort, we identified people with incident knee or hip OA diagnosis between 2014-2018, and presence of contraindications to or precautions for oral NSAIDs at the time of OA diagnosis. We estimated the risk of: 1) regular oral NSAID use; 2) regular opioid use; 3) PT during the first year after diagnosis among those with vs. without contraindications or precautions using confounder-adjusted logistic regression with standardization. ResultsWe identified 35,173 persons with newly diagnosed OA, of whom 3,257 and 8,351 had ≥1 contraindication to oral NSAIDs and ≥1 precaution, respectively. Overall, 27% of individuals used oral NSAIDs (with or without opioids or PT), 10% used opioids, and 57% attended PT. Among patients with contraindications, 21% used oral NSAIDs compared to 31% without (absolute adjusted difference -0.06 (95% CIs: -0.08, -0.05)), 53% vs 59% used PT (adjusted difference -0.03 (-0.05, -0.01)), while 14% vs 8% had prescribed dispensed opioids (adjusted difference 0.02 (0.01, 0.03)). Similar results were observed for those with precautions. ConclusionsWe highlight the need for safer treatment options. People with OA and contraindications/precautions to NSAIDs have higher risk of opioid use, slightly lower risk of PT use, and continue to be prescribed NSAIDs. Availability of data and materialsAll the data used in the study are available upon request to the appropriate Swedish National authorities.

History of Preoperative Use of Gabapentin Before Lower Extremity Bypass Predisposes Patients to a High Risk of Opioid Use and Dependence in a Dose-Dependent Manner

History of Preoperative Use of Gabapentin Before Lower Extremity Bypass Predisposes Patients to a High Risk of Opioid Use and Dependence in a Dose-Dependent Manner

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

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. 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). 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. 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.

Erector Spinae Plane Block Decreases Narcotic Requirements in Patients Undergoing Subcutaneous Implantable Cardioverter-defibrillator Placement Under Sedation.

Providing adequate analgesia perioperatively during subcutaneous implantable cardioverter-defibrillator (S-ICD) implantation can be a challenge. The objective of our study was to assess the efficacy and safety of the erector spinae plane (ESP) block technique in providing analgesia and minimizing the risk of opioid use in high-risk patient populations. We enrolled consecutive patients >18 years of age undergoing S-ICD implantation from February 2020 to February 2022 at our center prospectively. Patients were randomly assigned to receive the ESP block or traditional wound infiltration. A total of 24 patients were enrolled, including 13 patients randomized to ESP block and 11 patients as controls who received only wound infiltration. The primary outcome assessed was the overall use of perioperative analgesic medications in the ESP block group versus the surgical wound infiltration group. A significant reduction in intraoperative fentanyl use was observed [median ([interquartile range]) in the ESP block group (0 [0-50] μg) compared to the wound infiltration block group (75 [50-100] μg) (P = .001). The overall postoperative day (POD) 0 fentanyl use was also significantly decreased (75 [50-100] μg) in the ESP block group compared to the surgical wound infiltration group (100 [87.5-150] μg) (P = .049). There was also a trend of decreased POD 0 oxycodone-acetaminophen use. Finally, the number of days to discharge was less in the ESP block group. These results indicate that ESP block is an innovative, safe, and effective technique that decreases intraoperative and postoperative opioid consumption and may be a useful adjunct pain-management technique in these high-risk patients. Larger studies are needed to further validate its use.

Opioids and Youth Athletes.

The ongoing opioid epidemic and associated adverse effects impart a large burden on our current healthcare system. The annual economic and noneconomic cost of opioid use disorder and fatal opioid overdose is currently estimated at $1 trillion. This review presents the prevalence, frequency of use, need, and effectiveness of opioid analgesia in the youth and adolescent athlete population. It identifies current indications for opioid versus nonopioid analgesic use in the setting of acute orthopaedic injuries, postoperative management, concussion, and chronic pain. Current knowledge of youth athlete opioid use, risks related to use, misuse, diversion, and addiction are reviewed. A PubMed, Medline, and Cochrane Library search was conducted in February 2023 to review opioid pain management strategies in the pediatric athlete population from 2000 to present. Searches were restricted to English language articles and human subjects. Initial reviews of titles and abstracts were performed by all authors and relevant full-text articles were selected. Priority was given to systematic and narrative reviews, meta-analyses, and prospective studies. Narrative review. Level 3. First author name, publication year, study design, study country, subject demographics, and data on the frequency, type, and duration of analgesic treatments for musculoskeletal injuries, postsurgical care, chronic pain disorders, and concussion were extracted. Pediatric athletes comprise a high-risk population seeking analgesic relief for injury-related pain. Participation in high school sports is associated with increased risk of opioid use. An average of 28% to 46% of high school athletes have used opioids in their lifetime. Participation in ≥1 high school sport puts adolescents at 30% greater odds of future opioid misuse. The use of opioids in the pediatric athlete population is common and associated with both short- and long-term risks of misuse and addiction.

Modeling Effects of Variable preBötzinger Complex Network Topology and Cellular Properties on Opioid-Induced Respiratory Depression and Recovery.

The preBötzinger complex (preBötC), located in the medulla, is the essential rhythm-generating neural network for breathing. The actions of opioids on this network impair its ability to generate robust, rhythmic output, contributing to life-threatening opioid-induced respiratory depression (OIRD). The occurrence of OIRD varies across individuals and internal and external states, increasing the risk of opioid use, yet the mechanisms of this variability are largely unknown. In this study, we utilize a computational model of the preBötC to perform several in silico experiments exploring how differences in network topology and the intrinsic properties of preBötC neurons influence the sensitivity of the network rhythm to opioids. We find that rhythms produced by preBötC networks in silico exhibit variable responses to simulated opioids, similar to the preBötC network in vitro. This variability is primarily due to random differences in network topology and can be manipulated by imposed changes in network connectivity and intrinsic neuronal properties. Our results identify features of the preBötC network that may regulate its susceptibility to opioids.

Association between comorbid chronic pain or prior hospitalization for mental illness and substance use treatment among a cohort at high risk of opioid overdose

IntroductionChronic pain and serious mental illness increase risk of opioid use, and opioid use can exacerbate both conditions. Substance use disorder (SUD) treatment can be lifesaving, but chronic pain and serious mental illness may make recovery challenging. We evaluated the association between current chronic pain and prior hospitalization for mental illness and 90-day SUD treatment engagement, among emergency department (ED) patients at high risk of opioid overdose. MethodsWe conducted a cohort analysis of 648 ED patients enrolled in a randomized controlled trial in Rhode Island. We linked baseline study data on chronic pain and prior hospitalization for mental illness to statewide administrative data on state-licensed treatment programs (including methadone) and buprenorphine treatment via prescription. We defined treatment engagement as initiation of a state-licensed treatment program, transfer between state-licensed programs/providers, or a buprenorphine prescription (re-)fill. We used modified Poisson models to estimate the association between each baseline comorbidity and treatment engagement within 90 days following the ED visit, adjusted for a priori potential confounders. In an exploratory analysis, models were stratified by baseline treatment status. ResultsThe mean age of participants was 37 years; 439 (68 %) were male, and 446 (69 %) had been recently unhoused. Overall, 278 participants (43 %) engaged in treatment within 90 days of the ED visit. Participants with prior hospitalization for mental illness were more likely to engage in treatment than those without (adjusted risk ratio [ARR] = 1.24, 95 % confidence interval [CI] = 1.01–1.53), although this association was only among those already accessing treatment at baseline (ARR = 1.58, 95 % CI = 1.10–2.27). Chronic pain was not associated with 90-day treatment engagement overall (ARR = 1.12, 95 % CI = 0.91–1.38) or within baseline treatment subgroups. ConclusionsAmong ED patients at high risk of opioid overdose and accessing treatment at baseline, those with prior hospitalization for mental illness (but not chronic pain) were more likely to engage in treatment following the ED visit, which may reflect disproportionate initiation of additional treatment programs, transfer between programs/providers, or ongoing buprenorphine treatment. Touchpoints within the medical system should be leveraged to ensure that everyone, including those with serious mental illness, can access high-quality SUD treatment at the desired intensity level.

Managing Cancer Pain in Patients With Opioid Use Disorder

Practice guidelines for cancer pain management recommend optimizing treatments to improve function and meet the patient’s goals of care. Analgesic regimens often include an opioid in addition to adjuvant treatments. Cancer patients who use opioids in a dose or manner other than medically prescribed may develop opioid use disorder (OUD). Some patients may have OUD before their diagnosis of cancer and others may develop OUD during or after cancer treatment. Cancer patients with OUD may experience long-term, devastating consequences such as suboptimal management of their cancer or increased morbidity and mortality. Nurse practitioners caring for patients before, during, or after a diagnosis of cancer should understand the risks of opioid use and treatment options for cancer patients at risk for developing OUD or diagnosed with OUD. Four case presentations discuss how a multidisciplinary team approached the management of pain in patients with cancer and OUD.

Opioid prescriptions among the World Trade Center Health Program population

BackgroundThe World Trade Center Health Program (Program) provides limited health care to those directly affected by the 9/11 terrorist attacks. Because of physical/mental trauma arising from the 9/11 attacks, Program members might be at high risk of opioid use. To prevent prescription opioid overuse, in 2018 the Program implemented various measures to improve opioid prescribing and expand access to non-opioid pain management among Program members. However, the characteristics of opioid prescriptions dispensed among this population has never been described.MethodsAdministrative and claims data from 07/01/2011 to 09/30/2022 were used to describe opioid prescriptions dispensed during 2013–2021.ResultsFrom 2013–2021, 108,285 members were Program-enrolled for ≥ 10 months, 4,053 (3.7%) had 22,938 outpatient opioid prescriptions, of which, 62.1% were for cancer-related pain, 11.1% for hospice/end of life care, 4.8% for surgery pain, and 9.8% for acute/chronic pain. Among members with Program-paid diagnostic/treatment claims (n = 70,721), the proportion with opioid prescriptions for cancer/hospice/end of life care increased from 0.5% in 2013 to 1.6% in 2018 (p = 0.010), then decreased to 1.1% in 2021 (p = 0.070), and the proportion for non-cancer surgery/acute/chronic pain decreased from 0.6% in 2013 to 0.23% in 2021 (p = 0.0005). Among members prescribed opioids without cancer/hospice/sickle cell disease, the proportion who started with long-acting opioids or had opioid prescriptions from ≥ 4 prescribers were below 6.5% annually; the proportion receiving a high-dose (≥ 90 morphine milligram equivalents per day [MED]), or with concurrent opioids and benzodiazepines use, or who started opioids with MED ≥ 50 or with long duration (≥ 7 days’ supply) were above 10% annually, but decreased since 2017.ConclusionsPrevalence of outpatient opioid prescriptions paid by the Program was very low and prescriptions were primarily dispensed for cancer/hospice/end of life care. Although Program efforts to improve opioid prescribing coincided with improvements in outcomes, ongoing surveillance is needed.

Perioperative Opioid Use and Dosage Trajectories Vary Depending on Pain Outcome Classification and Bodily Pain in Patients who Catastrophize About Their Pain: A Secondary Analysis of a Randomized Trial in Knee Arthroplasty

Opioid use and dosage following knee arthroplasty (KA) has not been reported for subgroups with persistent moderate pain versus rapidly improving mild pain, externally validated from prior work. We determined if opioid use and dosage varied for persons classified into these externally validated subgroups. A secondary purpose determined if bodily pain scores are associated with the outcome subgroup. This was a secondary analysis of a prospective no-effect randomized clinical trial conducted on 384 participants with pain catastrophizing and scheduled for KA. Data were collected preoperatively and at 2-, 6-, and 12-month following surgery. Two-piece latent class growth curve analyses applied previously validated pain outcomes to determine subgroup outcome trajectories for the proportion of opioid users and oral morphine equivalent (OME) dosages. Substantial trajectory separation was found for opioid use and OME. Specifically, the average OME dosage for the persistent moderate pain subgroup was more than double that for the other outcome subgroup. The average preoperative opioid daily OME dosage for 170 patients reporting opioid use was 24.94 (95% [confidence interval] CI = 20.52, 29.38). Bodily pain was consistently higher for the persistent moderate pain subgroup compared to the other subgroup. Outcome subgroups in patients with pain catastrophizing demonstrated substantial differences in opioid use and dosage and were predicted by high pain catastrophizing, more bodily pain, and changes in bodily pain over time. The persistent moderate pain subgroup is at greater risk of opioid use and greater opioid dosages and should be targeted for preoperative screening and interventions to reduce opioid use and potential opioid misuse. PerspectiveMore frequent and higher opioid dosage following KA was found for the persistent moderate pain subgroup compared to the other subgroup. Patients with persistent pain had worse catastrophizing, contralateral and ipsilateral lower extremity pain, low back pain, and whole body pain compared to the rapidly improving mild pain subgroup.

Issues arising from the study design, conduct, and promotion of clinical trials funded by opioid manufacturers: a review of internal pharmaceutical industry documents

Background:From 1999 to 2021 opioid overdoses caused over one million deaths in the US. The pharmaceutical industry has been held legally responsible in some cases for overstating the benefits and understating the risks of opioid use, leading to overprescribing that contributed to these deaths. Aims and objectives:In this study we describe issues with research funded by opioid manufacturers that was used to support increased opioid prescribing. Methods:We analysed 503 internal industry documents from opioid manufacturers released from State of Oklahoma v. Purdue Pharma, LP, et al in January 2020. Findings:Internal documents identified three research practices of concern – enriched enrollment, ghostwriting, and overstatement of research findings – that resulted in claims that opioids were safe, nonaddictive, and effective in treating pain. These claims were used to promote increased opioid use. Discussion and conclusions:Research created by opioid manufacturers distorted the addictive potential of opioids using strategies that hid authorship and overstated findings. The claims were used in marketing and promotional materials to promote opioids as being safe and effective.

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.

Changes in hospital consumption of opioid and non-opioid analgesics after colorectal endometriosis surgery.

The aim of this study was to analyze postoperative consumption of analgesics during hospitalization following colorectal surgery for endometriosis. We conducted a retrospective study at Tenon University Hospital, Paris, France from February 2019 to December 2021. One hundred sixty-two patients underwent colorectal surgery: eighty-nine (55%) by robotic and seventy-three (45%) by conventional laparoscopy. The type of procedure had an impact on acetaminophen and nefopam consumed per day: consumption for colorectal shaving, discoid resection, and segmental resection was, respectively, 2(0.5), 2.1(0.6), 2.4(0.6) g/day (p = 10-3), and 25(7), 30(14), 31(11) mg/day (p = 0.03). The total amount of tramadol consumed was greater following robotic surgery compared with conventional laparoscopy (322(222) mg vs 242(292) mg, p = 0.04). We observed a switch in analgesic consumption over the years: tramadol was used by 70% of patients in 2019 but only by 7.1% in 2021 (p < 10-3); conversely, ketoprofen was not used in 2019, but was consumed by 57% of patients in 2021 (p < 10-3). A history of abdominal surgery (OR = 0.37 (0.16-0.78, p = 0.011) and having surgery in 2020 rather than in 2019 (OR = 0.10 (0.04-0.24, p < 10-3)) and in 2021 than in 2019 (OR = 0.08 (0.03-0.20, p < 10-3)) were the only variables independently associated with the risk of opioid use. We found that neither clinical characteristics nor intraoperative findings had an impact on opioid consumption in this setting, and that it was possible to rapidly modify in-hospital analgesic consumption modalities by significantly reducing opioid consumption in favor of NSAIDS or nefopam.

Examining sociodemographic correlates of opioid use, misuse, and use disorders in the All of Us Research Program.

The All of Us Research Program enrolls diverse US participants which provide a unique opportunity to better understand the problem of opioid use. This study aims to estimate the prevalence of opioid use and its association with sociodemographic characteristics from survey data and electronic health record (EHR). A total of 214,206 participants were included in this study who competed survey modules and shared EHR data. Adjusted logistic regressions were used to explore the associations between sociodemographic characteristics and opioid use. The lifetime prevalence of street opioids was 4%, and the nonmedical use of prescription opioids was 9%. Men had higher odds of lifetime opioid use (aOR: 1.4 to 3.1) but reduced odds of current nonmedical use of prescription opioids (aOR: 0.6). Participants from other racial and ethnic groups were at reduced odds of lifetime use (aOR: 0.2 to 0.9) but increased odds of current use (aOR: 1.9 to 9.9) compared with non-Hispanic White participants. Foreign-born participants were at reduced risks of opioid use and diagnosed with opioid use disorders (OUD) compared with US-born participants (aOR: 0.36 to 0.67). Men, Younger, White, and US-born participants are more likely to have OUD. All of Us research data can be used as an indicator of national trends for monitoring the prevalence of receiving prescription opioids, diagnosis of OUD, and non-medical use of opioids in the US. The program employs a longitudinal design for routinely collecting health-related data including EHR data, that will contribute to the literature by providing important clinical information related to opioids over time. Additionally, this data will enhance the estimates of the prevalence of OUD among diverse populations, including groups that are underrepresented in the national survey data.

Pain Medication Use Two Years After Adolescent Idiopathic Scoliosis Fusion Surgery.

Observational case control. The objective of this study was to evaluate the prevalence of opioid use two years after surgical correction of adolescent idiopathic scoliosis (AIS) and its association with preoperative mental health. Studies of opiate use have reported that up to 80% of users began their addiction with misuse of prescription opioids. Identifying opioid use and those at risk in the AIS population is critical for optimal outcomes. A query of a multicenter prospective AIS surgical fusion registry was performed to identify patients of all curve types with responses to question 11 on the Scoliosis Research Society-22 questionnaire at two years postoperative. Question 11 asks about pain medication usage for the patient's back with five specific responses: narcotics daily, narcotics weekly or less, non-narcotics daily, non-narcotics weekly/less, or none. Ordinal regression was used to evaluate the association between preoperative Scoliosis Research Society-22 Mental Health (MH) domain scores and two-year postoperative pain medication usage. A total of 2595 patients who underwent surgery from 2002 to 2019 met inclusion. The average primary curve was 56±12°, average age 14.7±3 years, and 81.5% were female. Forty (1.5%) patients reported utilizing opioids two years after surgery, and a significant difference in preoperative MH scores was observed. Patients taking daily opioids postoperatively had the lowest median preoperative MH score (3.75), followed by non-narcotic group (4), and no medication (4.2, P <0.001). Three patients reporting opioid use postoperatively reported preoperative usage. The rate of two-year postoperative medication use based on the year of surgery demonstrated a small linear decrease in opioid use over time, with a slight increase in nonopioid daily use. Less than 2% of patients reported taking opioids for back pain two years after surgical correction of AIS. A lower MH score before surgery may place a patient at increased risk for opioid use two years after surgery. An analysis of the year of surgery suggests that changes in prescription practices over time may be occurring. 4.

Efficient and flexible mediation analysis with time-varying mediators, treatments, and confounders

AbstractUnderstanding the mechanisms of action of interventions is a major general goal of scientific inquiry. The collection of statistical methods that use data to achieve this goal is referred to asmediation analysis. Natural direct and indirect effects provide a definition of mediation that matches scientific intuition, but they are not identified in the presence of time-varying confounding. Interventional effects have been proposed as a solution to this problem, but existing estimation methods are limited to assuming simple (e.g., linear) and unrealistic relations between the mediators, treatments, and confounders. We present an identification result for interventional effects in a general longitudinal data structure that allows flexibility in the specification of treatment-outcome, treatment-mediator, and mediator-outcome relationships. Identification is achieved under the standard no-unmeasured-confounders and positivity assumptions. In this article, we study semi-parametric efficiency theory for the functional identifying the mediation parameter, including the non-parametric efficiency bound, and was used to propose non-parametrically efficient estimators. Implementation of our estimators only relies on the availability of regression algorithms, and the estimators in a general framework that allows the analyst to use arbitrary regression machinery were developed. The estimators are doubly robust,n\sqrt{n}-consistent, asymptotically Gaussian, under slow convergence rates for the regression algorithms used. This allows the use of flexible machine learning for regression while permitting uncertainty quantification through confidence intervals andpp-values. A free and open-sourceRpackage implementing the methods is available on GitHub. The proposed estimator to a motivating example from a trial of two medications for opioid-use disorder was applied, where we estimate the extent to which differences between the two treatments on risk of opioid use are mediated by craving symptoms.

Association Between Payer Type and Risk of Persistent Opioid Use After Surgery.

To assess whether the risk of persistent opioid use after surgery varies by payer type. Persistent opioid use is associated with increased health care utilization and risk of opioid use disorder, opioid overdose, and mortality. Most research assessing the risk of persistent opioid use has focused on privately insured patients. Whether this risk varies by payer type is poorly understood. This cross-sectional analysis of the Michigan Surgical Quality Collaborative database examined adults aged 18 to 64 years undergoing surgical procedures across 70 hospitals between January 1, 2017 and October 31, 2019. The primary outcome was persistent opioid use, defined a priori as 1+ opioid prescription fulfillment at (1) an additional opioid prescription fulfillment after an initial postoperative fulfillment in the perioperative period or at least 1 fulfillment in the 4 to 90 days after discharge and (2) at least 1 opioid prescription fulfillment in the 91 to 180 days after discharge. The association between this outcome and payer type was evaluated using logistic regression, adjusting for patient and procedure characteristics. Among 40,071 patients included, the mean age was 45.3 years (SD 12.3), 24,853 (62%) were female, 9430 (23.5%) were Medicaid-insured, 26,760 (66.8%) were privately insured, and 3889 (9.7%) were covered by other payer types. The rate of POU was 11.5% and 5.6% for Medicaid-insured and privately insured patients, respectively (average marginal effect for Medicaid: 2.9% (95% CI 2.3%-3.6%)). Persistent opioid use remains common among individuals undergoing surgery and higher among patients with Medicaid insurance. Strategies to optimize postoperative recovery should focus on adequate pain management for all patients and consider tailored pathways for those at risk.