Opioid Use Disorder among Hospitalized Adults in North Carolina: Analysis from the 2000-2020 NC State Inpatient Database.

OBJECTIVES: Opioid use disorder (OUD) is characterized as a chronic condition that was first outlined in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and now the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision. It encompasses frequent opioid usage, cravings, the development of tolerance, withdrawal symptoms upon discontinuation, unsuccessful attempts to quit or reduce use, and recurrent use even when faced with negative consequences. Both national- and state-level data show that overdose deaths associated with prescription opioids are increasing at an alarming rate. The increasing overdose deaths from illicitly manufactured fentanyl and other synthetic opioids compound this epidemic's burden. The present study sought to determine the prevalence and potential factors associated with OUD in North Carolina. METHODS: Using the State Inpatient Database, a retrospective cross-sectional study was conducted to identify OUD-related discharges between 2000 and 2020. Descriptive statistics and rates of OUD per 1000 discharges were calculated. Simple and multivariable logistic regression models were used to identify factors associated with increased odds of having an opioid use disorder diagnosis at discharge. The deviance-Pearson goodness of fit statistic was also used. Variables were identified using International Classification of Diseases, Ninth Revision, Clinical Modification, and International Classification of Diseases, Tenth Revision, Clinical Modification, codes in the discharge records. RESULTS: Of 19,370,483 hospitalizations that occurred between 2000 and 2020 in North Carolina, 483,250 were associated with OUD, a prevalence rate of 24.9 cases per 1000 discharges. The highest OUD rates were seen among adults who self-paid for their hospitalization, those with Medicaid, and those with other types of payors such as Workers' Compensation and the Indian Health Service; individuals between 25 and 54 years old; tobacco and alcohol users; Native American patients; patients located in urban areas; patients with lower household income; White patients; and female patients. OUD also was associated with increased odds of having one or more comorbid psychiatric disorders when controlling for other factors. CONCLUSIONS: Although preventive measures are crucial, including policies that discourage prescribing opioids for noncancer pain and those that target the manufacturing and distribution of synthetic opioids, providing integrated care for patients with OUD and co-occurring psychiatric and/or physical disorders is equally important. These findings suggest the need for a system-wide public health response focused on the expansion of primary prevention and treatment efforts, including crisis services, harm reduction services, and recovery programs.

Matching study design to prescribing intention: The prevalent new-user design for studying abuse-deterrent formulations of opioids.

PURPOSE: In drug studies, research designs requiring no prior exposure to certain drug classes may restrict important populations. Since abuse-deterrent formulations (ADF) of opioids are routinely prescribed after other opioids, choice of study design, identification of appropriate comparators, and addressing confounding by "indication" are important considerations in ADF post-marketing studies. METHODS: In a retrospective cohort study using claims data (2006-2018) from a North Carolina private insurer [NC claims] and Merative MarketScan [MarketScan], we identified patients (18-64 years old) initiating ADF or non-ADF extended-release/long-acting (ER/LA) opioids. We compared patient characteristics and described opioid treatment history between treatment groups, classifying patients as traditional (no opioid claims during prior six-month washout period) or prevalent new users. RESULTS: We identified 8415 (NC claims) and 147 978 (MarketScan) ADF, and 10 114 (NC claims) and 232 028 (MarketScan) non-ADF ER/LA opioid initiators. Most had prior opioid exposure (ranging 64%-74%), and key clinical differences included higher prevalence of recent acute or chronic pain and surgery among patients initiating ADFs compared to non-ADF ER/LA initiators. Concurrent immediate-release opioid prescriptions at initiation were more common in prevalent new users than traditional new users. CONCLUSIONS: Careful consideration of the study design, comparator choice, and confounding by "indication" is crucial when examining ADF opioid use-related outcomes.

Machine learning identifies risk factors associated with long-term opioid use in fibromyalgia patients newly initiated on an opioid.

OBJECTIVES: Fibromyalgia is frequently treated with opioids due to limited therapeutic options. Long-term opioid use is associated with several adverse outcomes. Identifying factors associated with long-term opioid use is the first step in developing targeted interventions. The aim of this study was to evaluate risk factors in fibromyalgia patients newly initiated on opioids using machine learning. METHODS: A retrospective cohort study was conducted using a nationally representative primary care dataset from the UK, from the Clinical Research Practice Datalink. Fibromyalgia patients without prior cancer who were new opioid users were included. Logistic regression, a random forest model and Boruta feature selection were used to identify risk factors related to long-term opioid use. Adjusted ORs (aORs) and feature importance scores were calculated to gauge the strength of these associations. RESULTS: In this study, 28 552 fibromyalgia patients initiating opioids were identified of which 7369 patients (26%) had long-term opioid use. High initial opioid dose (aOR: 31.96, mean decrease accuracy (MDA) 135), history of self-harm (aOR: 2.01, MDA 44), obesity (aOR: 2.43, MDA 36), high deprivation (aOR: 2.00, MDA 31) and substance use disorder (aOR: 2.08, MDA 25) were the factors most strongly associated with long-term use. CONCLUSIONS: High dose of initial opioid prescription, a history of self-harm, obesity, high deprivation, substance use disorder and age were associated with long-term opioid use. This study underscores the importance of recognising these individual risk factors in fibromyalgia patients to better navigate the complexities of opioid use and facilitate patient-centred care.

Perioperative pain optimization in the age of the opioid epidemic.

PURPOSE OF REVIEW: The opioid epidemic remains a constant and increasing threat to our society with overdoses and overdose deaths rising significantly during the COVID-19 pandemic. Growing evidence suggests a link between perioperative opioid use, postoperative opioid prescribing, and the development of opioid use disorder (OUD). As a result, strategies to better optimize pain management during the perioperative period are urgently needed. The purpose of this review is to summarize the most recent multimodal analgesia (MMA) recommendations, summarize evidence for efficacy surrounding the increased utilization of Enhanced Recovery After Surgery (ERAS) protocols, and discuss the implications for rising use of buprenorphine for OUD patients who present for surgery. In addition, this review will explore opportunities to expand our treatment of complex patients via transitional pain services. RECENT FINDINGS: There is ample evidence to support the benefits of MMA. However, optimal drug combinations remain understudied, presenting a target area for future research. ERAS protocols provide a more systematic and targeted approach for implementing MMA. ERAS protocols also allow for a more comprehensive approach to perioperative pain management by necessitating the involvement of surgical specialists. Increasingly, OUD patients taking buprenorphine are presenting for surgery. Recent guidance from a multisociety OUD working group recommends that buprenorphine not be routinely discontinued or tapered perioperatively. Lastly, there is emerging evidence to justify the use of transitional pain services for more comprehensive treatment of complex patients, like those with chronic pain, preoperative opioid tolerance, or substance use disorder. SUMMARY: Perioperative physicians must be aware of the impact of the opioid epidemic and explore methods like MMA techniques, ERAS protocols, and transitional pain services to improve the perioperative pain experience and decrease the risks of opioid-related harm.

Association between opioid use disorder and palliative care: a cohort study using linked health administrative data in Ontario, Canada.

BACKGROUND: People with opioid use disorder (OUD) are at risk of premature death and can benefit from palliative care. We sought to compare palliative care provision for decedents with and without OUD. METHODS: We conducted a cohort study using health administrative databases in Ontario, Canada, to identify people who died between July 1, 2015, and Dec. 31, 2021. The exposure was OUD, defined as having emergency department visits, hospital admissions, or pharmacologic treatments suggestive of OUD within 3 years of death. Our primary outcome was receipt of 1 or more palliative care services during the last 90 days before death. Secondary outcomes included setting, initiation, and intensity of palliative care. We conducted a secondary analysis excluding sudden deaths (e.g., opioid toxicity, injury). RESULTS: Of 679 840 decedents, 11 200 (1.6%) had OUD. Compared with people without OUD, those with OUD died at a younger age and were more likely to live in neighbourhoods with high marginalization indices. We found people with OUD were less likely to receive palliative care at the end of their lives (adjusted relative risk [RR] 0.84, 95% confidence interval [CI] 0.82-0.86), but this difference did not exist after excluding people who died suddenly (adjusted RR 0.99, 95% CI 0.96-1.01). People with OUD were less likely to receive palliative care in clinics and their homes regardless of cause of death. INTERPRETATION: Opioid use disorder can be a chronic, life-limiting illness, and people with OUD are less likely to receive palliative care in communities during the 90 days before death. Health care providers should receive training in palliative care and addiction medicine to support people with OUD.

Development of Opioid Use Disorder After Breast Reconstruction: Effects of Nicotine Exposure.

INTRODUCTION: After undergoing breast reconstructive surgery, patients are typically prescribed opioids. Smoking tobacco increases rate of opioid metabolism and is associated with development of opioid use disorder (OUD). The aim of this study was to determine whether patients who smoke have an increased risk of OUD after breast reconstructive surgery. Given that OUD is a known risk factor for injection drug use and intravenous drug use increases risk of acquiring blood-borne diseases including human immunodeficiency virus (HIV) and hepatitis, the secondary aim was to determine if these patients are also at increased risk of acquiring these communicable diseases associated with OUD. METHODS: A retrospective analysis was conducted using TriNetX, a multi-institutional deidentified database. Individuals included underwent a breast reconstructive surgery and received postoperative opioid treatment. The exposed group included patients who smoke. The control group did not smoke. Risk of developing OUD, hepatitis B virus (HBV), hepatitis C virus (HCV), and HIV from 12 to 36 months after surgery was compared between groups. Patients with preexisting OUD or associated diseases were excluded. Cohorts were matched to control for confounding factors including age, sex, race, mental health history, and concomitant substance use. RESULTS: There were 8648 patients included in the analysis. After matching, 4324 patients comprised the exposure group, and 4324 patients remained in the control group. Preoperative smoking was significantly associated with increased risk of OUD at 12, 24, and 36 months after breast reconstruction (36 months: odds ratio [OR], 2.722; confidence interval [CI], 2.268-6.375). Smoking was also associated with increased risk of HIV and HCV at all time points after surgery (36 months HIV: OR, 2.614; CI, 1.977-3.458; 36 months HCV: OR, 3.718; CI, 2.268-6.375) and increased risk of HBV beginning at 24 months after surgery (36 months HBV: OR, 2.722; CI, 1.502-4.935). CONCLUSIONS: Individuals who smoke have an increased risk of developing OUD, HIV, HCV, and HBV after breast reconstructive surgery. This risk persists for at least 3 years after surgery. Additional research and clinical interventions focusing on early identification of OUD, prevention efforts, and harm reduction strategies for patients who smoke or have nicotine dependence undergoing breast reconstruction are warranted.

Opioid Use Among Children and Adults With Sickle Cell Disease in North Carolina Medicaid Enrollees in the Era of Opioid Harm Reduction.

Adults and children with sickle cell disease (SCD) are predominantly African American, with pain-related health disparities. We examined opioid prescription fill patterns in adults and children with SCD and compared factors associated with fills in North Carolina Medicaid enrollees. Our retrospective cohort study included 955 enrollees diagnosed with SCD having at least one opioid fill. Associations were measured between two cohorts (12 and 24 mo of continuous enrollment) for the following characteristics: sex, age, enrollee residence, hydroxyurea adherence, comanagement, enrollment in Community Care North Carolina, prescription for short versus short and long-acting opioids, and emergency department reliance. The majority of individuals did not have an opioid claim over a 12 or 24-month period. Claims increased at ages 10 to 17, peaking at ages 18 to 30. The increased number of claims was associated with the following factors: increasing age, male, short versus long-acting opioids, and Medicaid enrollment for 24 versus 12 months. Community Care North Carolina enrollees in the 12-month cohort had higher opioid days of supply per month; the inverse was true of the 24-month cohort.

Analysis of physical activity and prescription opioid use among US adults: a cross-sectional study.

BACKGROUND: Opioid crisis has become a global concern, but whether physical activity (PA) can effectively reduce prescription opioid use remains unclear. The study aimed to examine the relationship of different domains of PA (e.g., occupation-related PA [OPA], transportation-related PA [TPA], leisure-time PA [LTPA]) with prescription opioid use and duration of prescription opioid use. METHODS: This cross-sectional study was conducted on 27,943 participants aged ≥ 18 years from National Health and Nutrition Examination Survey (NHANES, 2007- March 2020). We examined the relationship of different domains of PA with prescription opioid use and duration of prescription opioid use using multivariable logistic regression. Stratified analysis and a series of sensitivity analysis were used to elevate robustness. All analyses were conducted using appropriate sampling weights. RESULTS: Of the 27,943 participants, the mean age was 45.10 years, with 14,018 [weighted, 50.0%] females and 11,045 [weighted, 66.0%] non-Hispanic White. After multivariable adjustment, inverse associations between PA and prescription opioid use were observed for sufficient (≥ 150 min/week) total PA (OR,0.68 95%CI [0.56-0.81]), TPA (OR,0.73 95%CI [0.58-0.92]), and LTPA (OR,0.60 95%CI [0.48-0.75]) compared with insufficient PA(< 150 min/week), but not for sufficient OPA (OR,0.93 95%CI [0.79-1.10]). In addition, the associations were dose-responsive, participants had 22-40%, 27-36%, and 26-47% lower odds of using prescription opioids depending on the duration of total PA, TPA, and LTPA, respectively. Nevertheless, the impact of PA on prescription opioid use varied by duration of opioid use. Sufficient total PA was associated with elevated odds of short-term use of prescription opioids (< 90 days). Comparatively, sufficient total PA, TPA, and LTPA had different beneficial effects on reducing long-term use of prescription opioids (≥ 90 days) depending on the strength of opioids. CONCLUSIONS: This study demonstrated sufficient total PA, TPA, and LTPA were inversely associated with prescription opioid use and varied depending on the duration and strength of prescription opioid use. These findings highlight PA can provide policy guidance to address opioid crisis.

Psykiske lidelser og plager ved vedvarende opioidbruk for langvarige ikke-kreftrelaterte smerter ­ en registerstudie.

Background: Knowledge of mental disorders among patients with persistent opioid use for the treatment of chronic non-cancer pain is essential, as mental disorders and symptoms can exacerbate or perpetuate pain and impact on the ability of patients to manage their illness. We have studied the prevalence of mental disorders and symptoms, including substance use disorders, in patients with persistent opioid use in 2019. Material and method: Persons ≥ 18 years with persistent opioid use and persons ≥ 18 years with at least one registered mental disorder in the specialist healthcare service in 2019 were included. Data were retrieved from national health registries in Norway. Patients who received opioids reimbursed for the treatment of chronic pain were compared with those who received opioids without reimbursement. Results: The prevalence of mental disorders and symptoms was 34 % among 14 403 persons who received reimbursed opioids, and 42 % among 38 001 persons who received opioids without reimbursement. This is equivalent to a two to threefold increase in prevalence compared to the general population. There was a particularly higher prevalence of anxiety disorders and substance use disorders. The prevalence of mental disorders and symptoms was highest in the age group 18-44 years (49-55 %). Interpretation: Among patients with persistent opioid use, a large proportion had mental disorders and symptoms, which are known risk factors for developing problematic opioid use and opioid use disorder.

Associations between smoking and pain in early recovery in residential substance use treatment-seekers.

INTRODUCTION: A growing literature indicates bidirectional associations between pain and tobacco use. Cigarette smokers are at increased risk for chronic pain, and observational and experimental studies indicate that pain increases motivation to smoke. Tobacco use disorder frequently co-occurs with other substance use disorders, which are also associated with chronic pain vulnerability. Despite evidence that pain significantly predicts smoking and relapse, associations between smoking history/trajectory and changes in pain over the course of treatment have not been characterized. The objective of the study was to determine the association between in-treatment smoking trajectory, pack-years (i.e., number of cigarette packs smoked per day multiplied by smoking duration), pain-related interference in daily activities, and pain intensity over the course of residential treatment. METHODS: In this study, 280 adult smokers in a residential SUD treatment center in North Central Florida completed questionnaires assessing cigarette use, pain intensity, and pain interference at treatment entry and discharge (Mean = 80.3 days, SD = 25.6). Most participants were diagnosed with alcohol use disorder (66.1 %). Opioid (27.9 %) and cannabis use disorders (29.6 %) were also common. Participants were grouped by whether their smoking increased (n = 36), decreased (n = 46), or stayed the same (n = 133) from entry to discharge. RESULTS: Analyses indicated a positive association between pack-years and pain intensity at both baseline (r = 0.185, p = 0.018) and discharge (r = 0.184, p = 0.019). Smoking trajectory was associated with pack-years, with those decreasing smoking having greater pack-years than those sustaining or increasing use [F(2,136) = 8.62, p < 0.01, η2p = 0.114]. Mixed general linear models indicated pain intensity [F(1,274) = 44.15, p < 0.0001, η2p = 0.138] and interference in day-to-day activities [F(1,276) = 31.79, p < 0.0001, η2p = 0.103] decreased significantly over time. However, there was no main effect of smoking trajectory on pain intensity [F(2,212) = 2.051, p = 0.131, η2p = 0.019] or of smoking trajectory by time interaction [F(2, 212) = 1.228, p = 0.295, η2p = 0.011]. CONCLUSIONS: Overall, findings provide evidence that smoking behavior influences pain within the context of residential substance use treatment. Given that pain is associated with urge to use substances and risk of return to use, more consistent and rigorous assessment of pain and proactive pain management is likely to enhance substance use treatment outcomes among people who smoke.

The effect of combat deployments on veteran opioid abuse.

Grim national statistics about the U.S. opioid crisis are increasingly well known to the American public. Far less well known is that U.S. servicemembers are at ground zero of the epidemic, with veterans facing an overdose death rate of up to twice that of civilians. Exploiting a quasi-experiment in overseas deployment assignment, this study estimates the causal impact of combat exposure among the deployed in the Global War on Terrorism on opioid abuse. We find that exposure to war theater substantially increased the risk of prescription painkiller abuse and illicit heroin use among active duty servicemen. The magnitudes of our estimates imply lower-bound combat exposure-induced healthcare costs of $1.04 billion per year for prescription painkiller abuse and $470 million per year for heroin use.

Prescription Opioid Exposure During Pregnancy and Risk of Spontaneous Preterm Delivery.

Importance: Opioid exposure during pregnancy has been associated with preterm birth, but prior studies have not differentiated between spontaneous and indicated preterm birth or fully investigated these associations as functions of opioid dose. Objective: To determine whether prescription opioid use during pregnancy is associated with spontaneous preterm birth and whether the association is dose-dependent. Design, Setting, and Participants: This case-control study examined a retrospective cohort of pregnant patients enrolled in Tennessee Medicaid. Enrollment files were linked to health care encounters, hospital discharge information, birth certificate data, and prescription fills. Eligible participants were pregnant people ages 15 to 44 years without opioid use disorder who experienced birth of a single fetus at 24 weeks gestation or greater between 2007 and 2019 with linked birth certificate data. Cases of spontaneous preterm birth were matched with up to 10 controls based on pregnancy start date, race, ethnicity, age at delivery within 2 years, and history of prior preterm birth. Cases and matched controls were continuously enrolled in TennCare for at least 90 days prior to the index date (case delivery date). Exposure: Total opioid MME filled during the 60 days prior to the index date. Main Outcomes and Measures: The primary outcome was spontaneous preterm birth determined by a validated algorithm using birth certificate data. Conditional logistic regression was used to estimate the association between spontaneous preterm birth and total opioid morphine milligram equivalents (MME) dispensed, adjusting for parity, prepregnancy body mass index, education level, tobacco use, hepatitis infections, and pain indications. Results: A total of 25 391 cases (median [IQR] age, 23 [20-28] years; 127 Asian [0.5%], 9820 Black [38.7%], 664 Hispanic [2.6%]; 14 748 non-Hispanic White [58.1%]) with spontaneous preterm birth were identified and matched with 225 696 controls (median [IQR] age, 23 [20-27] years; 229 Asian [0.1%], 89 819 Black [39.8%], 3590 Hispanic [1.6%]; 132 002 non-Hispanic White [58.5%]) (251 087 patients total), with 18 702 patients (7.4%) filling an opioid prescription in the 60 days prior to the index date. Each doubling of nonzero opioid MME was associated with a 4% increase in the odds of spontaneous preterm birth compared with no opioid exposure (adjusted odds ratio, 1.04; 95% CI, 1.01-1.08). Conclusions and Relevance: In this case-control study, a positive association was found between total prescription opioid dose dispensed and the odds of spontaneous preterm birth. These findings support guidance to minimize opioid exposure during pregnancy and prescribe the lowest dose necessary.

Impact of prescribed opioid use on development of dementia among patients with chronic non-cancer pain.

We aimed to examine the association between opioid use and the development of dementia in patients with chronic non-cancer pain in South Korea. Data were extracted from the National Health Insurance Service database in South Korea. Adult patients diagnosed with musculoskeletal diseases with chronic non-cancer pain between 2010 and 2015 were included in the analysis. Patients who were prescribed opioids regularly and continuously for ≥ 90 days were classified as opioid users. In total, 1,261,682 patients with chronic non-cancer pain were included in the final analysis, of whom 21,800 (1.7%) were opioid users. From January 1, 2016 to December 31, 2020, 35,239 (2.8%) patients with chronic non-cancer pain were newly diagnosed with dementia. In the multivariable model, opioid users showed a 15% higher risk of developing dementia than the control group. Additionally, opioid users showed a 15% and 16% higher risk of developing Alzheimer's disease and unspecified dementia, respectively, than the control group, but did not show any significant differences for vascular dementia. Among adult patients with chronic non-cancer pain, opioid users were at a higher risk of developing dementia than the control group; the risk was significantly higher for Alzheimer's disease but not for vascular dementia in this study. Our results suggest that in patients with CNCP, public health strategies should target opioid users for early dementia detection and intervention.

Correlations of Opioid Intake During Different Predischarge Time Frames with Postdischarge Opioid Use Following Inpatient Surgery.

Previous work has shown that predischarge opioid use is the most reliable and practical predictor of postdischarge opioid intake after inpatient surgery. However, the most appropriate predischarge time frame for operationalizing this relationship into more individualized prescriptions is unknown. We compared the correlations between the quantity of opioids taken during 5 predischarge time frames and self-reported postdischarge opioid intake in 604 adult surgery patients. We found that the 24-hour predischarge time frame was most strongly correlated (ρ= 0.60, P < .001) with postdischarge opioid use and may provide actionable information for predicting opioid use after discharge.

Does the type of lower extremity fracture affect long-term opioid usage? A meta-analysis.

INTRODUCTION:  Patients recovering from musculoskeletal trauma have a heightened risk of opioid dependence and misuse, as these medications are typically required for pain management. The purpose of this meta-analysis was to examine the association between fracture type and chronic opioid use following fracture fixation in patients who sustain lower extremity trauma. MATERIALS AND METHODS: A meta-analysis was performed using PubMed and Web of Science to identify articles reporting chronic opioid use in patients recovering from surgery for lower extremity fractures. 732 articles were identified using keyword and MeSH search functions, and 9 met selection criteria. Studies were included in the final analysis if they reported the number of patients who remained on opioids 6 months after surgery for a specific lower extremity fracture (chronic usage). Logistic regressions and descriptive analyses were performed to determine the rate of chronic opioid use within each fracture type and if age, year, country of origin of study, or pre-admission opioid use influenced chronic opioid use following surgery. RESULTS: Bicondylar and unicondylar tibial-plateau fractures had the largest percentage of patients that become chronic opioid users (29.7-35.2%), followed by hip (27.8%), ankle (19.7%), femoral-shaft (18.5%), pilon (17.2%), tibial-shaft (13.8%), and simple ankle fractures (2.8-4.7%).Most opioid-naive samples had significantly lower rates of chronic opioid use after surgery (2-9%, 95% CI) when compared to samples that allowed pre-admission opioid use (13-50%, 95% CI). There were no significant associations between post-operative chronic opioid use and age, year, or country of origin of study. CONCLUSIONS:  Patients with lower extremity fractures have substantial risk of becoming chronic opioid users. Even the lowest rates of chronic opioid use identified in this meta-analysis are higher than those in the general population. It is important that orthopedic surgeons tailor pain-management protocols to decrease opioid usage after lower extremity trauma.

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

BACKGROUND: Long-term opioid use after surgery is a crucial healthcare problem in North America. Data from European hospitals are scarce and differentiation of chronic pain has rarely been considered. METHODS: In a mixed surgical cohort of the PAIN OUT registry, opioid use and chronic pain were evaluated before surgery, and 6 and 12 months after surgery (M6/M12). Subgroups with or without opioid medication and pre-existing chronic pain were analysed. M12-chronic pain was categorised as chronic postsurgical pain (CPSP) meeting the ICD-11 definition, chronic pain related to surgery not meeting the ICD-11 definition, and chronic pain unrelated to surgery. Primary endpoint was the rate of M12 opioid users. Variables associated with M12 opioid use and patient-reported outcomes were evaluated. RESULTS: Of 2326 patients, 5.5% were preoperative opioid users; 4.4% and 3.5% took opioids at M6 and M12 (P<0.001). Chronic pain before operation and at M6/M12 was reported by 41.2%, 41.8%, and 34.7% of patients, respectively (P<0.001). The rate of M12 opioid users was highest in group unrelated (22.3%; related 8.3%, CPSP 1.5%; P<0.001). New opioid users were 1.1% (unrelated 7.1%, related 2.3%, CPSP 0.7%; P<0.001). M12 opioid users reported more pain, pain-related physical and affective interference, and needed more opioids than non-users. The predominant variable associated with M12 opioids was preoperative opioid use (estimated odds ratio [95% confidence interval]: 28.3 [14.1-56.7], P<0.001). CONCLUSIONS: Opioid use was low in patients with CPSP, and more problematic in patients with chronic pain unrelated to surgery. A detailed assessment of chronic pain unrelated or related to surgery or CPSP is necessary. CLINICAL TRIAL REGISTRATION: NCT02083835.

Peroral endoscopic myotomy for spastic esophageal dysmotility among opioid users: a multicenter propensity score matching study.

BACKGROUND AND AIMS: Opioid-induced esophageal dysfunction (OIED) often presents as spastic esophageal disorders (SEDs) and esophagogastric junction outflow obstruction (EGJOO). The aim of this study was to evaluate and compare clinical outcomes of peroral endoscopic myotomy (POEM) for SEDs and EGJOO among opioid users and nonusers. METHODS: This propensity score (PS) matching study included consecutive opioid users and nonusers who underwent POEM for SEDs and EGJOO between January 2018 and September 2022. The following covariates were used for the PS calculation: age, sex, duration of symptoms, Eckardt score, type of motility disorder, and length of myotomy during POEM. Clinical response was defined as a post-POEM Eckardt score ≤3. RESULTS: A total of 277 consecutive patients underwent POEM during the study period. PS matching resulted in the selection of 64 pairs of patients strictly matched 1:1 (n = 128) with no statistically significant differences in demographic, baseline, or procedural characteristics or in the parameters considered for the PS between the 2 groups. Clinical response to POEM was significantly lower among opioid users (51 of 64 [79.7%]) versus nonusers (60 of 64 [93.8%]) (P = .03) at a median follow-up of 18 months. Among opioid users, higher opioid dose (>60 morphine milligram equivalents per day) was associated with a higher likelihood of failure to respond to POEM (odds ratio, 4.59; 95% confidence interval, 1.31-3.98; P = .02). CONCLUSIONS: Clinical response to POEM for SEDs and EGJOO is significantly lower among opioid users versus nonusers. There was a dose-relationship between opioids and response to POEM, with higher daily opioid usage associated with a higher likelihood of treatment failure.

Risk Factors for Opioid Misuse, Abuse, and Dependence Among Pain Clinic Patients: A Cross-Sectional Study at King Khalid University Hospital during 2020.

BACKGROUND Physicians are faced with the risk of patients developing opioid use disorders (OUDs) when prescribing patients opioids for long periods of time. Therefore, it is highly recommended to continuously monitor and evaluate long-term non-cancer pain patients who are prescribed opioids. This study aims to estimate the prevalence of OUDs in 103 patients with active opioid prescriptions attending the Pain Clinic at King Khalid University Hospital. MATERIAL AND METHODS A cross-sectional study was conducted at King Khalid University Hospital's pain clinic from 2020 to 2022. A list of all patients attending the Pain Clinic with an opioid prescription was provided by the hospital. Through telephone interviews, consent was secured followed by the collection of demographic variables and prescription-related variables. Additionally, patients were asked to complete the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST 3.1) opioid questionnaire. RESULTS Most of the 103 patients were at moderate risk for abuse (91.3%), while a smaller percentage were at high risk (dependence) (5.8%) and low risk (misuse) (2.9%). Tramadol was the most-prescribed opioid (43.7%). Young age (<50) (Z=2.534; P=0.011), opioid use for more than 90 days (Z=2.788; P=0.005), and the prescription of tramadol (Z=4.124; P<0.001) were associated with higher risk of OCDs. CONCLUSIONS Younger patients, opioid use >90 days, and tramadol are associated with a higher risk of opioid misuse. However, further studies on a larger scale and in various settings are needed to provide evidence accurately reflecting the general population, as this study focused on the population of pain clinic attendees.

Prenatal Opioid Exposure and Immune-Related Conditions in Children.

Importance: Prenatal opioid exposure (POE) may alter with fetal development of the immune system, which may influence long-term health and susceptibility to immune-related conditions. Objective: To compare the risk of hospitalization and emergency department presentation for immune-related conditions in children with and without POE. Design, Setting, and Participants: This retrospective, population-based cohort study used linked administrative health records of all children born in Western Australia between January 1, 2003, and December 31, 2018 (N = 401 462). Exposure: Prenatal exposure to prescription opioids (overall and by trimester), neonatal abstinence syndrome diagnosis, and opioid indication (pain or opioid use disorder [OUD]). Main Outcomes and Measures: The main outcome was hospital admissions and emergency department presentations during which a child was diagnosed with an immune-related condition, including infections, conditions associated with an overactive immune system (eg, asthma, eczema, and allergy and anaphylaxis), and autoimmune diseases diagnosed before age 5 years or June 30, 2020. Data were analyzed between August 30, 2022, and February 27, 2023. Results: Neonates with POE (1656 [0.4%]; mean [SD] gestational age, 37.7 [2.1] weeks; 836 females [50.5%]; 820 males [49.5%]) were more likely to be born preterm, have low birth weight for gestational age, and be coexposed to cigarette smoke compared with nonexposed neonates. Perinatal opioid exposure was associated with an increased risk of perinatal infection (adjusted odds ratio [AOR], 1.62; 95% CI, 1.38-1.90) and eczema and dermatitis (AOR, 11.91; 95% CI, 9.84-14.41) compared with nonexposure. Neonatal abstinence syndrome was also associated with both conditions (AOR, 2.91 [95% CI, 2.36-3.57] and 31.11 [95% CI, 24.64-39.28], respectively). Prenatal opioid exposure was also associated with an increased risk of childhood asthma (adjusted hazard ratio [AHR], 1.44; 95% CI, 1.16-1.79), but not allergies and anaphylaxis. It was also associated with an increased risk of childhood eczema and dermatitis, but only in children with POE from opioids used to treat OUD (AHR, 1.47; 95% CI, 1.08-1.99) rather than pain. In contrast, POE from opioids used for pain was associated with an increased risk of infection (AHR, 1.44; 95% CI, 1.32-1.58), but POE to opioids used to treat OUD was not. Autoimmune conditions were rare and were not observed to be associated with POE. Conclusions and Relevance: In this cohort study, POE was associated with an increased risk of infection, eczema and dermatitis, and asthma, but not allergies and anaphylaxis or autoimmune conditions. These findings highlight the importance of further study of opioid-induced immune changes during pregnancy, the potential impact on long-term health in exposed children, and the mechanisms of opioid-induced immune dysregulation.

Association between trajectories of prescription opioid use and risk of opioid use disorder and overdose among US nonmetastatic breast cancer survivors.

PURPOSE: To examine the association between prescription opioid use trajectories and risk of opioid use disorder (OUD) or overdose among nonmetastatic breast cancer survivors by treatment type. METHODS: This retrospective cohort study included female nonmetastatic breast cancer survivors with at least 1 opioid prescription fill in 2010-2019 Surveillance, Epidemiology and End Results linked Medicare data. Opioid mean daily morphine milligram equivalents (MME) calculated within 1.5 years after initiating active breast cancer therapy. Group-based trajectory models identified distinct opioid use trajectory patterns. Risk of time to first OUD/overdose event within 1 year after the trajectory period was calculated for distinct trajectory groups using Cox proportional hazards models. Analyses were stratified by treatment type. RESULTS: Four opioid use trajectories were identified for each treatment group. For 38,030 survivors with systemic endocrine therapy, 3 trajectories were associated with increased OUD/overdose risk compared with early discontinuation: minimal dose (< 5 MME; adjusted hazard ratio [aHR] = 1.73 [95% CI 1.43-2.09]), very low dose (5-25 MME; 2.67 [2.05-3.48]), and moderate dose (51-90 MME; 6.20 [4.69-8.19]). For 9477 survivors with adjuvant chemotherapy, low-dose opioid use was associated with higher OUD/overdose risk (aHR = 7.33 [95% CI 2.52-21.31]) compared with early discontinuation. For 3513 survivors with neoadjuvant chemotherapy, the differences in OUD/OD risks across the 4 trajectories were not significant. CONCLUSIONS: Among Medicare nonmetastatic breast cancer survivors receiving systemic endocrine therapy or adjuvant chemotherapy, compared with early discontinuation, low-dose or moderate-dose opioid use were associated with six- to sevenfold higher OUD/overdose risk. Breast cancer survivors at high-risk of OUD/overdose may benefit from targeted interventions (e.g., pain clinic referral).