Persistent Opioid Use Research Articles

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.

Predictors of persistent opioid use in bladder cancer patients undergoing radical cystectomy: A SEER-Medicare analysis

PurposeTo evaluate patient and provider characteristics that predict persistent opioid use following radical cystectomy for bladder cancer including non-opioid naïve patients. MethodsPatients undergoing cystectomy between July 2007 and December 2015 were identified using the SEER-Medicare database. Opioid exposure was identified before and after cystectomy using Medicare Part D data. Multivariable analyses were used to identify predictors of the primary outcomes: persistent opioid use (prescription 3–6 months after surgery) and postoperative opioid prescriptions (within 30 days of surgery). Secondary outcomes included physician prescribing practices and rates of persistent opioid use in their patient cohorts. ResultsA total of 1,774 patients were included; 29% had prior opioid exposure. Compared to opioid-naïve patients, non-opioid naïve patients were more frequently younger, Black, and living in less educated communities. The percentage of persistent postoperative use was 10% overall and 24% in non-opioid naïve patients. Adjusting for patient factors, opioid naïve individuals were less likely to develop persistent use (OR 0.23) while a 50-unit increase in oral morphine equivalent per day prescribed following surgery nearly doubled the likelihood of persistent use (OR 1.98). Practice factors such as hospital size, teaching affiliation, and hospital ownership failed to predict persistent use. 29% of patients filled an opioid prescription postoperatively. Opioid naïve patients (OR 0.13) and those cared for at government hospitals (OR 0.59) were less likely to fill an opioid script along with those residing in the Northeast. Variability between physicians was seen in prescribing practices and rates of persistent use. ConclusionsNon-opioid naïve patients have higher rates of post-operative opioid prescription than opioid-naïve patients. Physician prescribing practices play a role in persistent use, as initial prescription amount predicts persistent use even in non-opioid naïve patients. Significant physician variation in both prescribing practices and rates of persistent use suggest a role for standardizing practices.

Abstract 4835: Demographic factors and risk of persistent opioid use in a diverse cohort of breast cancer survivors

Abstract Background: Persistent opioid use (POU), in breast cancer survivors after they have completed active cancer treatment is an emerging area of concern. We examined rates and identified risk with POU in breast cancers survivors in the year after active cancer treatment going forward, and if these risks differed by race/ethnicity. Methods: We assembled a cohort of female breast cancer survivors diagnosed in 2009-2019 treated for early-stage disease (in situ, local, regional), and had at least two opioid prescriptions after one year of survivorship in a large health plan in southern California. Data were captured from the tumor registry, electronic health records, and pharmacy databases. The primary outcome was POU defined as continuously receiving at least 90 days supplied of opioids during follow-up. Patients were followed through the date once they met POU criteria, died, disenrolled from health plan, or reached study’s end (12/31/2021), whichever came first. We calculated rates as the number of patients who experienced POU per 1,000 person-years (PY). We identified the predictors and estimated hazard ratios (HR) associated with POU using multivariable proportional hazard regression and stratified by race/ethnicity. Results: The cohort included 14,347 breast cancer survivors who used opioids followed for a maximum of 12 years (median: 6.6 years). Overall, the cohort was diverse: 9% Asian/Pacific Islander (API); 14% Black; 22% Hispanic; and 54% White women. Out of 14,347 patients who used opioids, 2,285 (16%) patients developed POU. POU rates was the highest in Whites (36.2 per 1,000 PY) compared other race/ethnicity groups including Blacks, Hispanics, APIs (30.7, 17.3, 10.6 per 1,000 PY, respectively). Patients who developed POU had longer annualized median opioid duration, especially in Black patients (175.0 vs. 5.3 days) and were prescribed stronger opioids (median maximum daily morphine milligram equivalent 83.7 vs 50.0), compared to those who did not develop POU. In adjusted analyses of POU risk, Black (HR, 0.81; 95% CI: 0.72-0.92), API (HR, 0.59; 95% CI, 0.52-0.66), and Hispanic women (HR, 0.59; 95% CI, 0.52-0.66) were less likely to develop POU compared to White women. Patients with older age, Elixhauser Comorbidity Index ≥3, smoking, breast cancer stage (regional); type of opioid (Oxycodone); and who used other psychiatric and pain medications had significantly greater POU risk. In stratified analysis, the POU risk was 2.6 times greater (HR, 2.61; 95% CI, 1.32-5.15) in Hispanic patients aged≥65 vs <40 years. The highest HR was in APIs who were current smokers (HR, 4.26; 95% CI, 1.77-10.29) compared with non-smokers. Conclusion: The findings suggest that patients who are older, current smokers, with more comorbidities, and diagnosed with higher cancer stage were most vulnerable to developing POU. Citation Format: Lie Hong Chen, Rulin C. Hechter, Jiaxiao Shi, Zheng Gu, Moira Brady-Rogers, Rowan T. Chlebowski, Reina Haque. Demographic factors and risk of persistent opioid use in a diverse cohort of breast cancer survivors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4835.

Persistent Opioid Use Following Pediatric Nonfatal Firearm Injury

ObjectiveFirearms are a major cause of pediatric injury. An analysis of opioid use following pediatric firearm injury has not previously been reported. Our objective was to determine the prevalence and factors associated with persistent opioid use among pediatric nonfatal firearm injury victims. MethodsWe performed a retrospective cohort study using 2015–18 claims data from the Merative MarketScan Multi-State Medicaid and Commercial Databases, utilizing International Classification of Diseases, Tenth Revision codes for firearm injury and National Drug Codes for opioids. Dispensed opioid claims were used as a proxy for opioid use. Opioid exposure was defined both dichotomously and continuously (by the total number of opioid days prescribed) in the 30 days following discharge from firearm injury index encounter. Persistent opioid use was defined as ≥1 opioid claim(s) in the 90 to 270 days following index encounter. Multivariable logistic regression analysis was performed to determine whether covariates of interest were associated with greater odds of persistent opioid use. ResultsOur cohort consisted of 2110 children who experienced nonfatal firearm injury (mean age 13.5, 80.9% male, 79.5% Medicaid) with 608 children (28.8%) exposed to opioids. Of patients exposed to opioids, 10.4% developed persistent opioid use. In adjusted analyses, each opioid day dispensed during the exposure period represented 5% greater odds of experiencing persistent opioid use. ConclusionsClinicians caring for children injured by firearms should be aware of the risk of developing persistent opioid use and balance that risk with the need to sufficiently control pain.

Frequency of Persistent Opioid Use 6 Months After Exposure to IV Opioids in the Emergency Department: A Prospective Cohort Study

BackgroundAs rates of opioid use disorder in the general population have increased, some have questioned whether IV opioids should be used routinely for treatment of acute severe pain in the emergency department (ED). ObjectivesWe determined the incidence of persistent opioid use among opioid-naïve patients exposed to IV opioids in the ED. MethodsThis was a prospective observational cohort study conducted in two EDs in the Bronx, NY. Opioid-naïve adults with severe pain who received IV opioids in the ED were followed-up 6 months later by telephone interview and review of the state opioid prescription database. We defined persistent opioid use as filling 6 or more prescriptions for opioids in the 6 months following the ED visit or an average of one prescription per month. ResultsWe screened 1555 patients. Of these, 506 patients met entry criteria and provided analyzable data. Morphine was the IV opioid most frequently administered in the ED (478, 94%), followed by hydromorphone (20, 4%). Of the 506, 8 (2%) received both IV morphine and hydromorphone and 63 (12%) participants were prescribed an opioid for use after the ED visit. One patient/506 (0%) met our apriori criteria for persistent opioid use within 6 months. ConclusionAmong 506 opioid naïve ED patients administered IV opioids for acute severe pain, only one used opioids persistently during the subsequent 6 months.

Longitudinal patterns of use of stimulants and opioids in the AIDS linked to the IntraVenous experience cohort, 2005–2019

BackgroundOverdoses involving opioids and stimulants are on the rise, yet few studies have examined longitudinal trends in use of both substances. We sought to describe use and co-use of opioids and stimulants, 2005–2019, in the AIDS Linked to the Intravenous Experience (ALIVE) cohort – a community-based cohort of people with a history of injection drug use living in or near Baltimore, MD. MethodsWe included 2083 ALIVE participants, who had at least two visits during the study period. Our outcome was based on self-reported use of opioids and stimulants in the prior 6 months. We estimated prevalence of 4 categories of use (neither stimulants nor opioids, only stimulants, only opioids, stimulants and opioids), using a non-parametric multi-state model, accounting for the competing event of death and weighting for informative loss to follow-up. All analyses were stratified by enrollment cohort, with the main analysis including participants who enrolled prior to 2015 and a sub-analysis including participants who enrolled 2015–2018. ResultsIn the main analysis, prevalence of using stimulants and opioids decreased from 38 % in 2005 to 12 % 2013 but stabilized from 2014 onwards (13–19 %). The prevalence of using only stimulants (7–11 %) and only opioids (5–10 %) was stable across time. Participants who reported using both were more likely to report homelessness, depression, and other substance use (e.g., marijuana and heavy alcohol use) than participants in the other use categories. On average, 65 % of visits with use of both were followed by a subsequent visit with use of both; of participants transitioning out of using both, 13% transitioned to using neither. ConclusionsWhile use of stimulants and opioids declined in the cohort through 2013, a meaningful proportion of participants persistently used both. More research is needed to understand and develop strategies to mitigate harms associated with persistent use of both stimulants and opioids.

Persistent Opioid Use After Cesarean Delivery in the United States of America: A Systematic Review

(Int J Obstet Anesth. 2023:54:103644) A total of 31.9% of births in the United States occur through cesarean delivery (CD), while a total of 18.6% of births worldwide occur through CD. Following CD, opioids are commonly prescribed for pain management, and just 5 days of opioid use can develop into a chronic use condition. It is unclear how many postpartum opioid prescriptions lead to opioid addiction. This review aimed to analyze and assess previous studies related to long-term opioid use following CD.

Opioid prescribing practices in breast oncologic surgery-A retrospective cohort study.

In breast oncologic surgery, 75% of patients receive a postoperative opioid prescription at discharge, and 10%-20% will develop persistent opioid use. To inform future institutional guidelines, the objective of this study was to determine baseline opioid prescribing patterns in a single high-volume, referral-based breast center. We hypothesized that opioid prescribing practices varied between procedures and operating surgeons. A retrospective analysis of all women undergoing breast cancer surgery between January and December 2019. Opioid prescriptions at discharge were converted to morphine milligram equivalents (MME). The primary outcome of interest was MME prescribed at discharge. Multiple linear regression was used to identify factors independently associated with MME prescribed. 392 patients met inclusion criteria; 68.3% underwent partial mastectomy. Median age was 61 (interquartile range [IQR] 51-70). Median MME prescribed at discharge was 112.5 (IQR 75-150); 83.9% of patients were prescribed co-analgesia. The prescriber was a trainee in 37.7% of cases. 15 patients (3.8%) required opioid renewal. On multivariate analysis, axillary procedure was associated with increased MME (ß=17, 95% CI 5.5-28 and ß=32, 95% CI 17-47, for sentinel node and axillary dissection, respectively). However, the factor with the greatest impact on MME was operating surgeon (ß=72, 95% CI 58-87). Residents prescribed less MME compared to attending surgeons (ß=11, 95% CI -22; -0.06). In a tertiary care center, the operating surgeon had the greatest influence on opioid prescribing practices, and trainees tended to prescribe less MME. These findings support the need for a standardized approach to optimize prescribing and reduce opioid-related harms after oncologic breast surgery.

Incidence of persistent opioid use following traumatic injury

IntroductionMajor traumatic injuries are a known risk factor for persistent opioid use, but data describing the relationship between specific traumatic injuries and opioid use is lacking.MethodsWe used insurance claims data...

Effectiveness of dexmedetomidine during surgery under general anaesthesia on patient-centred outcomes: a systematic review and Bayesian meta-analysis protocol

IntroductionDexmedetomidine is a promising pharmaceutical strategy to minimise opioid use during surgery. Despite its growing use, it is uncertain whether dexmedetomidine can improve patient-centred outcomes such as quality of recovery...

Mental disorders and symptoms with persistent opioid use for chronic non-cancer pain – a registry study

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. 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. The prevalence of mental disorders and symptoms was 34% among 14403 persons who received reimbursed opioids, and 42% among 38001 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%). 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.

Long term opioid use after burn injury: a retrospective cohort study

BackgroundPatients who have survive a burn injury might be at risk of opioid dependence after discharge. This study examined the use of opioids in patients who suffer burn injury and explored factors associated with persistent opioid use after hospital discharge. MethodsThis retrospective cohort study compared adults admitted with a burn injury from 2009 to 2019 with two matched comparison cohorts from the general population and adults with a diagnosis of acute pancreatitis. Pre-admission prescription opioid use was determined, and a multivariable negative binomial regression analysis used to explore post-discharge opioid use. ResultsA total of 7147 burn patients were matched with 6810 pancreatitis patients and with 28 184 individuals from the general population. Pre-admission opioid use was higher in the burn and pancreatitis cohorts (29% and 40%, respectively) compared with the general population (17%). Opioid use increased in both burn and pancreatitis cohorts after discharge (41% and 53%, respectively), although patients with pancreatitis were at even higher risk of increased opioid use in an adjusted analysis (incidence rate ratio 1.43). Female sex, lower socioeconomic status, ICU admission, pre-injury opioid use, and a history of excess alcohol use were all associated with an increase in opioid prescriptions after discharge. ConclusionsOpioid use is high in those admitted with a burn injury or acute pancreatitis when compared with the general population, increasing further after hospital discharge. Female sex and socioeconomic deprivation are among factors that make increased opioid use more likely, although this phenomenon seems even more pronounced in those with acute pancreatitis compared with burn injuries.

Clinical patterns and implications of prescription opioid use in a pediatric population for the management of urolithiasis in the emergency room.

Extrapolations from the adult population have suggested that opioids should be avoided in the management of pediatric urolithiasis, but the literature is sparse with regards to actual practice patterns and the downstream implications. We sought to investigate the rate of oral opioid administration for children presenting to the emergency room (ER) with urolithiasis and to identify associations between opioid administration and return visits and persistent opioid use. The TriNetX Research and Diamond Networks were used for retrospective exploratory and validation analyses, respectively. Patients <18 years presenting to the emergency room with urolithiasis were stratified by the receipt of oral opioids. Propensity score matching was performed in a 1:1 fashion. Incident cases of opioid administration and risk ratios (RRs) for a return ER visit within 14 days and the presence of an opioid prescription at 6 to 12 months were calculated. Of the 4672 patients in the exploratory cohort, 11.9% were prescribed oral opioids. Matching yielded a total of 1084 patients. Opioids at the index visit were associated with an increased risk of return visits (RR 1.51, 95% CI 1.04-2.20, P = 0.03) and persistent opioid use (RR 4.00, 95% CI 2.20-7.26, P < 0.001). The validation cohort included 6524 patients, of whom 5.7% were prescribed oral opioids. Matching yielded a total of 722 patients and demonstrated that opioids were associated with an increased risk of return visits (RR 1.50, 95% CI 1.04-2.16, P = 0.03) but not persistent opioid use (RR 1.70, 95% CI 0.79-3.67, P = 0.17). We find that the opioid administration rate for pediatric urolithiasis appears reassuringly low and that opioids are associated with a greater risk of return visits and persistent use.

Opioid use following cardio-thoracic intensive care: risk factors and outcomes: a cohort study

Opioid misuse has become a serious public health problem. Patients admitted to cardio-thoracic critical care are usually exposed to opioids, but the incidence and effects of chronic opioid use are not known. The primary objective was to describe opioid use after admission to a cardio-thoracic intensive care unit. Secondary objectives were to identify factors associated with chronic opioid usage and analyze risk of death. This cohort study included all cardio-thoracic ICU care episodes in Sweden between 2010 and 2018. Among the 34,200 patients included in the final study cohort, 4050 developed persistent opioid use after ICU care. Younger age, preadmission opioid use, female sex, presence of comorbidities and earlier year of ICU admission were all found to be associated with persistent opioid use. The adjusted hazard ratio for mortality between 6 and 18 months after admission among individuals with persistent opioid use was 2.2 (95% CI 1.8–2.6; P < 0.001). For opioid-naïve patients before ICU admission, new onset of chronic opioid usage was significant during the follow-up period of 24 months. Despite the absence of conclusive evidence supporting extended opioid treatment, the average opioid consumption remains notably elevated twelve months subsequent to cardio-thoracic ICU care.

Prescription Opioid Use before and after Diagnosis of Cancer Among Older Cancer Survivors With Non-Cancer Chronic Pain Conditions (NCPCs): An Application of Group-Based Trajectory Modeling (GBTM).

Prescription opioids are essential in managing pain among adults with chronic pain conditions. However, persistent use over time can lead to negative health consequences. Identifying individuals with persistent use over time and their characteristics can inform clinical decision-making and aid in reducing the risk of abuse and overdose deaths. This study aims to examine trajectories of prescription opioid use over time and factors associated with these trajectories among older cancer survivors with any non-cancer pain conditions (NCPC). We conducted a retrospective cohort study design with longitudinal data of older (age at cancer diagnosis ≥67years) cancer (incident breast, colorectal, and prostate cancers, or non-Hodgkin lymphoma) survivors with any NCPC. Data were derived from the 2007-2015 linked Surveillance, Epidemiology, and End Results (SEER)-Medicare dataset (N = 35,071). Group-Based Trajectory Modeling (GBTM) was used to identify homogeneous subgroups (distinct trajectories) of individuals based on every 90-day prescription opioid use during pre-cancer diagnosis (t1-t4), acute cancer treatment (t5-t8), and post-cancer treatment (t9-t12) periods. Biological factors, social determinants of health (SDoH), physical and mental health, medication use, health care use, and external factors associated with a trajectory membership were analyzed with multivariable multinomial logistic regressions. Four distinct trajectories of opioid use were identified: (1) increase-decrease use (6.1%); (2) short-term use after cancer diagnosis (40.6%); (3) low-use (41.0%); and (4) persistent use (12.3%). In the fully-adjusted multinomial logistic regression, the SDoH such as Non-Hispanic Black [adjusted odds ratios (AOR) = 1.69; 95%CI = 1.48, 1.93)] and rural residence (AOR = 1.49; 95%CI = 1.15, 1.94)], comorbid anxiety (AOR = 1.33; 95%CI = 1.18, 1.51), and medication use (NSAIDs - AOR = 1.20; 95%CI = 1.10, 1.30) were associated with membership in the persistent use group. Persistent use was less likely among those with higher fragmented care index (AOR = 0.95, 95%CI = 0.93, 0.97) and those living in counties with higher Medicare advantage penetration (AOR = 0.96; 95%CI = 0.95, 0.97). One in eight older adults had persistent opioid use over time. The profile characteristics of this group were different from the other trajectory groups. Policies and programs to reduce chronic opioid use need to consider the intra- and inter-individual variability to reduce opioid-related morbidity and mortality.

Financial model for a transitional pain service at a large tertiary academic center in the USA

Approximately 1 in 10 patients undergoing surgery is considered at high risk for poor pain and opioid-related outcomes due to chronic pain or persistent opioid use prior to surgery, leading...

Perioperative Sleep Quality Disturbances in Total Joint Arthroplasty is Multifactorial

BackgroundSleep quality following arthroplasty procedures is important for patient recovery and satisfaction, but remains poorly understood. The purpose of this study was to report risk factors for sleep disturbances in the perioperative period in patients undergoing primary total joint arthroplasty procedures. MethodsSleep surveys were prospectively collected on 751 consecutive patients undergoing total joint arthroplasty at our institution between June 2019 and February 2021 at their preoperative and postoperative visits (2 and 6 weeks). Data were collected on patient demographics, opioid use (preoperatively and postoperatively) as well as tobacco and alcohol use, and specific medical diagnosis that may influence sleep patterns (ie, depression). Statistical analyses were performed using the Student’s t-tests and 1-way analysis of variances. ResultsFor both total hip and total knee patients, worse sleep patterns preoperatively were found in patients who used opioids prior to surgery (P < .001), were current smokers (P < .001), and were aged less than 65 years (P < .001). Postoperative persistent opioid use (more than 3 months) was seen in patients who had worse reported sleep quality preoperatively (P < .001). In comparison to total hip arthroplasty, patients who underwent total knee arthroplasty were more likely to report less sleep in the postoperative period. Patients who were current smokers (compared to nonsmokers or previous smokers) (P = .014) had worse sleep quality at all time points that persisted at 6 weeks, although these differences were seen more in total hip patients than in total knee patients (P = .006 versus P = .059). ConclusionsSleep quality disturbances around the time of surgery appear to be multifactorial. Level of EvidenceTherapeutic Level III.

Rates and risk factors for persistent opioid use after cardiothoracic surgery: A cohort study

BackgroundThis study’s aim was to estimate potential risk factors for persistent opioid use after cardiothoracic surgery. MethodsThis study included participants in the McGill University Health Centre clinical trial (2014 to 2016). Provincial medical services, prescription claims, and medical charts data were linked. Persistent opioid use was defined as an initial peri-operative opioid dispensation followed by an opioid dispensation between 91 and 180 days postdischarge. Multivariable Cox Proportional Hazards models were used to assess factors associated with persistent opioid use. ResultsA cohort of 815 patients (mean age: 68.9 [standard deviation = 8.9]) was assembled, of which 8.2% became persistent opioid users. Factors such as higher Charlson Comorbidity Index (adjusted hazard ratio: 3.4, 95% confidence interval: 1.1–10.6), history of diabetes (adjusted hazard ratio: 2.1, 95% confidence interval: 1.3–3.4), substance and alcohol abuse (adjusted hazard ratio: 16.3, 95% confidence interval: 5.3–49.5), and radiotherapy (adjusted hazard ratio: 2.4, 95% confidence interval: 1.5–4.1) were associated with a higher hazard of persistent opioid use. Previous opioid use (adjusted hazard ratio: 1.7, 95% CI: 1.0–2.8), daily peri-operative opioid dose (adjusted hazard ratio: 2.3, 95% confidence interval: 1.5–3.7), having an opioid dispensation 30 days pre-admission (adjusted hazard ratio: 1.7, 95% confidence interval: 1.0–2.8), and pre-admission analgesic use (adjusted hazard ratio: 1.7, 95% confidence interval: 1.0–2.8), were also associated with an increased hazard of persistent use. Being prescribed multimodal analgesia at discharge (adjusted hazard ratio: 0.54, 95% confidence interval: 0.32–0.92) was associated with a 46% decreased hazard of developing persistent opioid use. ConclusionMultiple patient- and medication-related characteristics were associated with an increased hazard of persistent opioid use.

Development and validation of a predictive model for persistent opioid use in new opioid analgesic users via a nationwide claims database.

Chronic opioid use is associated with problematic opioid use, such as opioid abuse. It is important to develop a prediction model for safe opioid use. In this study, we aimed to develop and validate a risk score model for chronic opioid use in opioid-naïve, noncancer patients, using data from a nationwide database. Data from the National Health Insurance Claims Database in the Republic of Korea from 2016 to 2018 were used, and adult, noncancer patients who were started on non-injectable opioid analgesics (NIOAs) were included. The risk score model was developed using the β coefficient of each variable in the multivariable logistic regression analysis. Overall, 676,676 noncancer patients were started on NIOAs, of which 65,877 (9.7%) were prescribed NIOAs chronically. Age, baseline healthcare utilization, comorbidities, co-medications, and pattern of first NIOA prescription were identified as risk factors for chronic opioid use. The c-static for the performance of our risk score model was 0.754 (95% confidence interval, 0.750-0.758). To our knowledge, this is the first tool that can predict chronic opioid use in the Korean population. The model can help physicians examine the risk of chronic opioid use by patients who are started on NIOA.

New Persistent Opioid Use After Childbirth.

To examine factors associated with new persistent opioid use after childbirth. We conducted a population-based cohort study of individuals who initiated opioid therapy within 7 days of discharge from hospital after delivery between September 1, 2013, and September 30, 2021. The primary outcome was new persistent opioid use , which was defined as one or more prescriptions for an opioid within 90 days of the first postpartum prescription and one or more subsequent opioid prescriptions in the 91-365 days afterward. We used multivariable logistic regression to assess patient-, pregnancy-, and prescription-related factors associated with new persistent opioid use after delivery. We identified 118,694 unique deliveries after which opioids were initiated, including 99,399 cesarean (83.7%) and 19,295 vaginal (16.3%) deliveries. Among mothers who initiated an opioid after delivery, 1,282 (10.8/1,000 deliveries) met our definition of new persistent opioid use in the subsequent year. Rates of new persistent opioid use were appreciably higher after vaginal (16.0/1,000) compared with cesarean (9.8/1,000) deliveries. Each additional 30 morphine milligram equivalents in the initial opioid prescription was associated with an increased risk of new persistent use after cesarean (adjusted odds ratio [aOR] 1.06, 95% CI 1.04-1.08) and vaginal (aOR 1.05, 95% CI 1.02-1.08) delivery. A concomitant benzodiazepine prescription after cesarean delivery was associated with a markedly increased risk of persistent opioid use (aOR 2.69, 95% CI 1.60-4.52). Among people who filled an opioid prescription after delivery, about 1% displayed evidence of persistent opioid use in the subsequent year. Initial prescriptions for large quantities of opioids and a concurrent benzodiazepine prescription may be important modifiable risk factors to prevent new persistent opioid use after delivery.