Clinical correlates of prescription opioid analgesic use in pregnancy.
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ABSTRACT:
SUBMITTER: Smith MV
PROVIDER: S-EPMC4272915 | biostudies-literature | 2015 Mar
REPOSITORIES: biostudies-literature
Publications
Clinical correlates of prescription opioid analgesic use in pregnancy.
Smith Megan V MV Costello Darce D Yonkers Kimberly A KA
Maternal and child health journal 20150301 3
A 2012 committee opinion from the American College of Obstetricians and Gynecologists highlights the considerable increase in opioid addiction in recent years, yet little is known about clinical correlates of prescribed opioids among pregnant women. This study examines clinical and demographic factors associated with the use of opioid analgesics in pregnancy. Data were derived from a prospective cohort study of pregnant women. Participants were administered the Composite International Diagnostic ...[more]
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Project description:ObjectiveTo evaluate outpatient opioid dispensing and the incidence of persistent opioid use after ectopic pregnancy.MethodsThis cohort study used U.S. employer-based claims data to identify opioid-naïve individuals experiencing ectopic pregnancy from November 1, 2008, to September 30, 2015. Treatment was categorized as surgical, medical (using methotrexate), or unknown. New opioid prescriptions were defined as prescriptions filled from 1 week before to 1 week after an ectopic pregnancy treatment. For those who filled a new opioid prescription, we calculated the incidence and risk factors for persistent opioid use, defined as having filled at least one opioid prescription both from 8 to 90 days after treatment and from 91 to 365 days after treatment.ResultsOf the 15,338 individuals in our study, 7,047 (45.9%, 95% CI 45.2-46.7%) filled an opioid prescription at the time of treatment, of whom 4.1% (95% CI 3.6-4.6%) developed persistent opioid use. The risk of persistent opioid use was lower among those who had surgical compared with medical treatment (3.7% and 6.8%, respectively; relative risk [RR] 0.54, 95% CI 0.38-0.77). Variables most strongly associated with persistent opioid use were a history of benzodiazepine use (RR 1.99; 95% CI 1.43-2.78; adjusted relative risk [aRR] 1.57, 95% CI 1.11-2.22), antidepressant use (RR 1.91, 95% CI 1.45-2.53; aRR 1.53, 95% CI 1.08-2.18), and a pre-existing pain disorder (RR 1.58, 95% CI 1.26-1.99; aRR 1.47, 95% CI 1.16-1.85) in the year before treatment.ConclusionNew opioid use is common after an ectopic pregnancy; approximately 4% of those with new opioid use develop persistent opioid use, with the rate higher in those treated medically. New pain-management guidelines need to be developed to prevent persistent opioid use after ectopic pregnancy.
| S-EPMC7962340 | biostudies-literature
Project description:AimsTo identify patterns of opioid analgesic use and determine predictors of persistent opioid use among people without cancer.MethodsA population-based cohort study of Australians initiating prescription opioids from July 2013 to December 2015 was conducted using data from a random 10% sample of people who accessed medicines through Australia's Pharmaceutical Benefits Scheme. A 12-month retrospective period was used to define opioid initiation, exclude people with cancer and determine comorbidities. Persistent use over 12 months since initiation was identified through group-based trajectory modelling. Odds ratios (OR) and 95% confidence intervals (CIs) for predictors of opioid persistence were estimated using logistic regression.ResultsThe cohort consisted of 431?963 people without cancer who initiated opioids. A total of 11?323 (2.6%) persistent opioid users were identified. Predictors of persistence included initiation with transdermal formulations (OR 4.2, 95% CI 3.9-4.5), or initiation with total oral morphine equivalents (OME) ? 750 mg (3.7, 3.3-4.1), having depression (1.6, 1.5-1.7) or psychotic illness (2.0, 1.9-2.2). Previous dispensing of paracetamol (2.0, 1.9-2.1), pregabalin (2.0, 1.8-2.1) and benzodiazepines (1.53, 1.4-1.6) predicted persistence. Compared to people aged 18-44 years, those ?75 years were 2.5 (2.3-2.6) times more likely to be persistent users.ConclusionsPatient-specific characteristics (older age, prior history of mental health comorbidities and use of non-opioid analgesics) and prescriber choice of initial opioid (transdermal formulation and higher total OMEs) were found to strongly predict persistent use. This information may help prescribers target monitoring and early intervention efforts in order to prevent harms associated with the long-term use of opioids.
| S-EPMC5980567 | biostudies-literature
Project description:This study estimates the prevalence of prescription opioid use (POU) in the United States (US) in 2019-2020, both in the general population and specifically among adults with pain. It also identifies key geographic, demographic, and socioeconomic correlates of POU. Data were from the nationally-representative National Health Interview Survey 2019 and 2020 (N = 52,617). We estimated POU prevalence in the prior 12 months among all adults (18+), adults with chronic pain (CP), and adults with high-impact chronic pain (HICP). Modified Poisson regression models estimated POU patterns across covariates. We found POU prevalence of 11.9% (95% CI 11.5, 12.3) in the general population, 29.3% (95% CI 28.2, 30.4) among those with CP, and 41.2% (95% CI 39.2, 43.2) among those with HICP. Findings from fully-adjusted models include the following: In the general population, POU prevalence declined about 9% from 2019 to 2020 (PR = 0.91, 95% CI 0.85, 0.96). POU varied substantially across US geographic regions: It was significantly more common in the Midwest, West, and especially the South, where adults had 40% higher POU (PR = 1.40, 95% CI 1.26, 1.55) than in the Northeast. In contrast, there were no differences by rural/urban residence. In terms of individual characteristics, POU was lowest among immigrants and among the uninsured, and was highest among adults who were food insecure and/or not employed. These findings suggest that prescription opioid use remains high among American adults, especially those with pain. Geographic patterns suggest systemic differences in therapeutic regimes across regions but not rurality, while patterns across social characteristics highlight the complex, opposing effects of limited access to care and socioeconomic precarity. Against the backdrop of continuing debates about benefits and risks of opioid analgesics, this study identifies and invites further research about geographic regions and social groups with particularly high or low prescription opioid use.
| S-EPMC9980762 | biostudies-literature
Project description:The authors present 12-month and lifetime prevalence, correlates, psychiatric comorbidity, and treatment of nonmedical prescription opioid use (NMPOU) and DSM-5 NMPOU disorder (NMPOUD).Data were derived from the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III) (N = 36,309).Prevalences of 12-month and lifetime NMPOU were 4.1% and 11.3%, exceeding rates in the 2001-2002 NESARC (1.8%, 4.7%). Twelve-month and lifetime rates of DSM-5 NMPOUD were 0.9% and 2.1%. NESARC-III DSM-IV NMPOUD rates (0.8%, 2.9%) were greater than those observed in the 2001-2002 NESARC (0.4% and 1.4%). Rates of NMPOU were greater among men, but no sex differential was observed for NMPOUD. Prevalences of NMPOU and NMPOUD were generally greater among 18- to 64-year-old individuals, whites, and Native Americans, and individuals with lower socioeconomic status. Associations were observed between 12-month and lifetime NMPOU and NMPOUD and other drug use disorders, posttraumatic stress disorder, and borderline, schizotypal, and antisocial personality disorders; persistent depression and major depressive disorder (for NMPOU); and bipolar I disorder (for NMPOUD). Only 5.5% and 17.7% of individuals with 12-month NMPOU and NMPOUD were ever treated.NMPOU and NMPOUD have considerably increased over the past decade, are associated with a broad array of risk factors and comorbidities, and largely go untreated in the United States. More information on the determinants, characteristics, and outcomes of NMPOU and NMPOUD is needed to support evidence-based interventions and prevention.
| S-EPMC5555044 | biostudies-other
Project description:ImportanceBetween 1997 and 2017, the United States saw increases in nonmedical prescription opioid use and its consequences, as well as changes in marijuana policies. Ecological-level research hypothesized that medical marijuana legalization may reduce prescription opioid use by allowing medical marijuana as an alternative.ObjectivesTo investigate the association of state-level medical marijuana law enactment with individual-level nonmedical prescription opioid use and prescription opioid use disorder among prescription opioid users and to determine whether these outcomes varied by age and racial/ethnic groups.Design, setting, and participantsThis cross-sectional study used restricted data on 627 000 individuals aged 12 years and older from the 2004 to 2014 National Survey on Drug Use and Health, a population-based survey representative of the civilian population of the United States. Analyses were completed from March 2018 to May 2018.ExposuresTime-varying indicator of state-level medical marijuana law enactment (0 = never law enactment, 1 = before law enactment, and 2 = after law enactment).Main outcomes and measuresPast-year nonmedical prescription opioid use and prescription opioid use disorder among prescription opioid users. Odds ratios of nonmedical prescription opioid use and prescription opioid use disorder comparing the period before and after law enactment were presented overall, by age and racial/ethnic group, and adjusted for individual- and state-level confounders.ResultsThe study sample included 627 000 participants (51.51% female; 9.88% aged 12-17 years, 13.30% aged 18-25 years, 14.30% aged 26-34 years, 25.02% aged 35-49 years, and 37.50% aged ≥50 years; the racial/ethnic distribution was 66.97% non-Hispanic white, 11.83% non-Hispanic black, 14.47% Hispanic, and 6.73% other). Screening and interview response rates were 82% to 91% and 71% to 77%, respectively. Overall, there were small changes in nonmedical prescription opioid use prevalence after medical marijuana law enactment (4.32% to 4.86%; adjusted odds ratio, 1.13; 95% CI, 1.06-1.20). Prescription opioid use disorder prevalence among prescription opioid users decreased slightly after law enactment, but the change was not statistically significant (15.41% to 14.76%; adjusted odds ratio, 0.95; 95% CI, 0.81-1.11). Outcomes were similar when stratified by age and race/ethnicity.Conclusions and relevanceThis study found little evidence of an association between medical marijuana law enactment and nonmedical prescription opioid use or prescription opioid use disorder among prescription opioid users. Further research should disentangle the potential mechanisms through which medical marijuana laws may reduce opioid-related harm.
| S-EPMC6647549 | biostudies-literature
Project description:Objective: Opioid surveillance in response to the opioid epidemic will benefit from scalable, automated algorithms for identifying patients with clinically documented signs of problem prescription opioid use. Existing algorithms lack accuracy. We sought to develop a high-sensitivity, high-specificity classification algorithm based on widely available structured health data to identify patients receiving chronic extended-release/long-acting (ER/LA) therapy with evidence of problem use to support subsequent epidemiologic investigations. Methods: Outpatient medical records of a probability sample of 2,000 Kaiser Permanente Washington patients receiving ≥60 days' supply of ER/LA opioids in a 90-day period from 1 January 2006 to 30 June 2015 were manually reviewed to determine the presence of clinically documented signs of problem use and used as a reference standard for algorithm development. Using 1,400 patients as training data, we constructed candidate predictors from demographic, enrollment, encounter, diagnosis, procedure, and medication data extracted from medical claims records or the equivalent from electronic health record (EHR) systems, and we used adaptive least absolute shrinkage and selection operator (LASSO) regression to develop a model. We evaluated this model in a comparable 600-patient validation set. We compared this model to ICD-9 diagnostic codes for opioid abuse, dependence, and poisoning. This study was registered with ClinicalTrials.gov as study NCT02667262 on 28 January 2016. Results: We operationalized 1,126 potential predictors characterizing patient demographics, procedures, diagnoses, timing, dose, and location of medication dispensing. The final model incorporating 53 predictors had a sensitivity of 0.582 at positive predictive value (PPV) of 0.572. ICD-9 codes for opioid abuse, dependence, and poisoning had a sensitivity of 0.390 at PPV of 0.599 in the same cohort. Conclusions: Scalable methods using widely available structured EHR/claims data to accurately identify problem opioid use among patients receiving long-term ER/LA therapy were unsuccessful. This approach may be useful for identifying patients needing clinical evaluation.
| S-EPMC7241518 | biostudies-literature
Project description:Objective: We examined prescription related opioid use disorder (POUD) prevalence, individual symptoms, severity, characteristics, and treatment by prescription opioid misuse status among adults with prescription opioid use.Methods: Cross-sectional study using nationally representative data from 47,291 adults aged ≥18 years who participated in the 2021 National Survey on Drug Use and Health. Past-year POUD used DSM-5 criteria.Results: Among US adults with past-year prescription opioid use, 12.1% (95% CI, 11.1%-13.1%) misused prescription opioids, and 7.0% (95% CI, 6.2%-8.9%) had POUD. Among adults with POUD, 62.0% (95% CI, 56.7%-67.2%) reported no prescription opioid misuse, including 49.1% (95% CI, 43.5%-54.7%) with mild POUD, 11.0% (95% CI, 6.5%-15.4%) with moderate POUD, and 1.9% (95% CI, 0.6%-3.2%) with severe POUD. Prevalence of POUD was 4.5 times higher (prevalence ratio = 4.5, 95% CI, 3.6-5.6) among those reporting prescription opioid misuse (22.0%, 95% CI, 18.6%-25.8%) than those reporting use without misuse (4.9%, 95% CI, 4.2%-5.7%). Among adults reporting prescription opioid use without misuse, high POUD prevalence was found for those with ≥3 emergency department visits (16.4%, 95% CI, 11.5%-23.0%), heroin use/use disorder (17.1%, 95% CI, 5.2%-43.8%), prescription sedative/ tranquilizer use disorder (36.2%, 95% CI, 23.6%-51.1%), and prescription stimulant use disorder (21.8%, 95% CI, 11.0%-38.7%).Conclusions: Moderate-to-severe POUD is more frequent among adults who report misusing prescription opioids. However, 62% of adults with POUD do not report prescription opioid misuse, suggesting that adults who are treated with prescription opioids and report no misuse could be at risk for developing POUD. Results highlight the need to screen for and treat POUD among adults taking prescription opioids regardless of whether they report prescription opioid misuse.
| S-EPMC11338316 | biostudies-literature
Project description:BackgroundPublished research on prescribed opioid analgesic (POA) use during pregnancy and birth outcomes is limited in scope and has not adequately adjusted for potential confounding factors. To help address these gaps, we estimated associations between maternal POAs during pregnancy and two adverse birth outcomes using a large population-based dataset, multiple definitions of POA exposure, and several methods to evaluate the influence of both measured and unmeasured confounding factors.Methods and findingsWe obtained data by linking information from several Swedish registers and conducted a retrospective cohort study on a population-based sample of 620,458 Swedish births occurring between 2007 and 2013 (48.6% female; 44.4% firstborn). We evaluated associations between prenatal POA exposure and risk for preterm birth (PTB; <37 gestational weeks) and small for gestational age (SGA; birth weight 2 standard deviations below the expected weight for gestational age or lower). We evaluated the influence of confounding by adjusting for a wide range of measured covariates while comparing exposed and unexposed infants. Additionally, we adjusted for unmeasured confounding factors by using several advanced epidemiological designs. Infants exposed to POAs anytime during pregnancy were at increased risk for PTB compared with unexposed infants (6.4% exposed versus 4.4% unexposed; adjusted odds ratio [OR] = 1.38, 95% confidence interval [CI] 1.31-1.45, p < 0.001). This association was attenuated when we compared POA-exposed infants with acetaminophen-exposed infants (OR = 1.18, 95% CI 1.07-1.30, p < 0.001), infants born to women who used POAs before pregnancy only (OR = 1.05, 95% CI 0.96-1.14, p = 0.27), and unexposed siblings (OR = 0.99, 95% CI 0.85-1.14, p = 0.92). We also evaluated associations with short-term versus persistent POA use during pregnancy and observed a similar pattern of results, although the magnitudes of associations with persistent exposure were larger than associations with any use or short-term use. Although short-term use was not associated with SGA (adjusted ORsingle-trimester = 0.95, 95% CI 0.87-1.04, p = 0.29), persistent use was associated with increased risk for SGA (adjusted ORmultiple-trimester = 1.40, 95% CI 1.17-1.67, p < 0.001) compared with unexposed infants. The association with persistent exposure was attenuated when we used alternative comparison groups (e.g., sibling comparison OR = 1.22, 95% CI 0.60-2.48, p = 0.58). Of note, our study had limitations, including potential bias from exposure misclassification, an inability to adjust for all sources of confounding, and uncertainty regarding generalizability to countries outside of Sweden.ConclusionsOur results suggested that observed associations between POA use during pregnancy and risk of PTB and SGA were largely due to unmeasured confounding factors, although we could not rule out small independent associations, particularly for persistent POA use during pregnancy.
| S-EPMC6886755 | biostudies-literature
Project description:BackgroundVaginal delivery is the most common reason for hospitalization in the United States, and approximately 30% of women fill an opioid prescription after vaginal delivery, making this a common source of opioid exposure in women of reproductive age.ObjectiveThis study aimed to evaluate the effect of receiving an opioid prescription after vaginal delivery on the risk of subsequent persistent opioid use, opioid use disorders, and overdose.Study designWe assembled a nationwide cohort of Medicaid beneficiaries in the United States using the Medicaid Analytic eXtract 2009-2014. The study population included pregnant women who delivered vaginally between 2009 and 2013 and were continuously enrolled in Medicaid from 90 days before to 365 days after delivery. We identified patients with prescription opioids dispensed within 7 days of the date of vaginal delivery. Persistent opioid use was defined as ≥10 opioid fills or >120 days' supply dispensed from 30 to 365 days after delivery. Incident diagnoses of opioid use disorder and overdose were ascertained during the same interval. Propensity score matching was used to control for potential confounding factors.ResultsAmong 459,829 pregnancies ending in vaginal deliveries, 140,807 (30.62%) had an opioid dispensed within 7 days of delivery. Overall, 5770 of 140,807 (4.10%) women who filled an opioid prescription vs 2668 of 319,022 (0.84%) unexposed women had subsequent persistent opioid use, with an unadjusted relative risk of 4.90 (95% confidence interval, 4.68-5.13) and a risk difference of 3.26% (95% confidence interval, 3.15-3.37). After propensity score matching, the risk remained higher among pregnancies with an opioid prescription dispensed, with a relative risk of 2.57 (95% confidence interval, 2.43-2.72) and a risk difference of 2.21% (95% confidence interval, 2.08-2.33), which was confirmed by the instrumental variable analysis with a risk difference of 1.31% (95% confidence interval, 1.06-1.56) by using the rate of opioid prescribing at the delivery facility in a given geographic region as the instrument. The adjusted relative risk of newly diagnosed opioid use disorder and overdose was 1.48 (95% confidence interval, 1.40-1.57) and 1.92 (95% confidence interval, 1.20-3.09), respectively.ConclusionOpioid dispensing following vaginal delivery is associated with future persistent opioid use and misuse, independent of confounding factors. Opioid prescriptions to women after vaginal delivery should be avoided, except in rare circumstances.
| S-EPMC9631715 | biostudies-literature
Project description:Objective: Given continued increases in "deaths of despair", there is a need to examine associations of factors across multiple domains of despair (i.e. cognitive, emotional, behavioral, biological) with opioid-related behaviors. An understanding of current and early life correlates of prescription opioid behaviors can help inform clinical care, public health interventions, and future life course research. Methods: Using data from Waves I (1994-1995; participants ages 12-18 years) and V (2016-2018; participants ages 34-42 years) of the National Longitudinal Study of Adolescent to Adult Health (N = 10,685), we examined adolescent and adult demographic, mental and physical health, substance use, and behavioral characteristics associated with past 30-day prescription opioid use only, misuse only, and both use and misuse to no recent use or misuse in adulthood. Results: Overall, 2.3% of adult participants reported past 30-day prescription opioid use only, 6.3% reported past 30-day misuse only, and 1.3% reported both prescribed use and misuse in the past 30 days. Physical health conditions in adolescence and adulthood were most common among those reporting use only and both use and misuse. Mental health conditions, other substance use, and delinquent behaviors in adolescence and adulthood were most common among those reporting misuse only and both use and misuse. Conclusions: Results from this nationally representative sample highlight the prevalence of specific prescription opioid behaviors and underscore the importance of targeting underlying drivers of prescription opioid use and misuse early in the life course. Continued implementation individual- and population-level approaches will be critical to addressing continued demand for opioids.
| S-EPMC8601403 | biostudies-literature