Patterns and predictors of chronic opioid use in older adults: A retrospective cohort study

Osteoarthritis, osteoarthritis treatment and risk of incident dementia: a prospective cohort study based on UK Biobank

BACKGROUND

We aimed to investigate the association between OA and treatment with dementia risk and structural brain abnormalities.

METHODS

We recruited a total of 466,460 individuals from the UK Biobank to investigate the impact of OA on the incidence of dementia. Among the total population, there were 63,081 participants diagnosed with OA. We subsequently categorised the OA patients into medication and surgery groups based on treatment routes. Cox regression models explored the associations between OA/OA treatment and dementia risk, with the results represented as hazard ratios (HRs) and 95% confidence intervals (95% CI). Linear regression models assessed the associations of OA/OA therapy with alterations in cortical structure.

RESULTS

During an average of 11.90 (± 1.01) years of follow-up, 5,627 individuals were diagnosed with all-cause dementia (ACD), including 2,438 AD (Alzheimer's disease), and 1,312 VaD (vascular dementia) cases. Results revealed that OA was associated with the elevated risk of ACD (HR: 1.116; 95% CI: 1.039-1.199) and AD (HR: 1.127; 95% CI: 1.013-1.254). OA therapy lowered the risk of dementia in both medication group (HR: 0.746; 95% CI: 0.652-0.854) and surgery group (HR: 0.841; 95% CI: 0.736-0.960). OA was negatively associated with cortical area, especially precentral, postcentral and temporal regions.

CONCLUSIONS

Osteoarthritis increased the likelihood of developing dementia, and had an association with regional brain atrophy. OA treatment lowered the dementia risk. OA is a promising modifiable risk factor for dementia.

Prescription Painkiller Misuse in Hispanic and non-Hispanic Adults Ages 50 and Older: Trends and Correlates in a National Sample, 2015-2019

Background: Older adults, an increasingly diverse segment of the United States population, are a priority population for prescription painkiller misuse. This study documents trends and correlates of prescription painkiller misuse among Hispanic and non-Hispanic adults ages 50 and older. Methods: A secondary analysis of adults 50 years and older across 5 cohorts using the 2015-2019 National Survey on Drug Use and Health (unweighted n = 16,181, 8.5% Hispanic, and 54% female). Logistic regression modeling with complex survey design was used to examine trends in prescription painkiller misuse. Results: Over time, the prevalence of past year painkiller misuse significantly decreased for Hispanic respondents (56.1% relative decrease, p = 0.02); elevated proportions were observed across strata of demographic characteristics. Conclusions: Variability in the prevalence of painkiller misuse may be explained by demographic characteristics. Further, these results emphasize the importance of addressing comorbid recreational marijuana use when designing interventions to address painkiller misuse for older adults.

Patterns of opioid use in New Zealand older adults, 2007-2018

OBJECTIVES

Opioid use has increased globally, dramatically increasing opioid overdose, dependence, abuse and mortality. Limited research is available on opioid use patterns in older adults in New Zealand and internationally. This study aims to address this gap by determining the incidence and prevalence of opioid use among older adults (age ≥65 years) in New Zealand from 2007 to 2018.

METHODS

This was a population-based retrospective cohort study conducted using New Zealand national administrative healthcare databases. The annual opioid use incidence (2008-2018) and prevalence (2007-2018) in older adults were determined and stratified by sex, age, and opioid type and strength. We used descriptive statistics to summarise the patterns of opioid dispensing. Data analysis was conducted using MS Excel, and data linking was performed using SQL software.

RESULTS

A total of 820,349 older adults were initiated on opioids during the study period. The overall incidence of opioid use in older adults showed a steady increase from 2008 to 2015; similarly, the prevalence steadily increased from 2007 to 2015, and thereafter, both rates fluctuated. A slight decrease in both prevalence and incidence rates was observed in 2018. Codeine and tramadol were the most commonly dispensed opioids during the study period. Females had a higher incidence and prevalence of all opioids than males.

CONCLUSIONS

The incidence and prevalence of opioid dispensing increased in New Zealand older adults over time. Monitoring the trends of opioid use in older adults is critical to enable clinicians and policymakers to deliver early interventions to prevent future opioid-related adverse events.

Older adult drug overdose: an application of latent class analysis to identify prevention opportunities

BACKGROUND

Older adult overdose death rates have increased significantly in recent years. However, research for prevention of drug overdose death specific to older adults is limited. Our objective is to identify profiles based on missed intervention points (touchpoints) to inform prevention of future older adult unintentional overdose deaths.

METHODS

We used latent class analysis methods to identify profiles of decedents aged 55 + years in the Illinois Statewide Unintentional Drug Overdose Reporting System. This system collects data on 92.6% of all unintentional overdose deaths in Illinois and includes data from death certificates, coroner/medical examiner, toxicology, and autopsy reports. Data include decedent demographics, circumstances leading up to and surrounding the fatal overdose and details regarding the overdose. Variables in the latent class analysis model included sex, race, alcohol test result, social isolation, recent emergency department (ED) visit, chronic pain, and pain treatment.

RESULTS

We identified three distinct decent profiles. Class 1 (13% of decedents) included female decedents who were in pain treatment, had physical health problems, and had greater likelihood of a recent ED visit before their death. Class 2 (35% of decedents) decedents were most likely to be socially connected (live with others, employed, had social or family relationships) but less likely to have recent healthcare visits. Class 3 (52% of decedents) decedents had higher social isolation (lived alone, unemployed, unpartnered), were mostly male, had fewer known physical health conditions, and more alcohol positivity at time of death. White decedents are clustered in class 1 while Black decedents are predominant in classes 2 and 3.

CONCLUSIONS

These profiles link to potential touchpoint opportunities for substance use disorder screening harm reduction and treatment. Class 1 members were most likely to be reachable in healthcare settings. However, most decedents were members of Classes 2 and 3 with less engagement in the healthcare system, suggesting a need for screening and intervention in different contexts. For Class 2, intervention touchpoints might include education and screening in work or social settings such as senior centers given the higher degree of social connectivity. For Class 3, the most isolated group, touchpoints may occur in the context of harm reduction outreach and social service delivery.

Prevalence and Appropriateness of Polypharmacy in Older Adults with Inflammatory Bowel Diseases

BACKGROUND

Despite the growing prevalence of older adults with inflammatory bowel diseases (IBD), polypharmacy, an important geriatric construct, is poorly understood. We described polypharmacy and its implications in older adults with IBD.

METHODS

In a cross sectional study of adults ≥ 60 years with IBD, we obtained medication lists from the medical record and patients. We assessed medications by the Beer's criteria, anti-cholinergic burden and drug-drug interactions. We constructed multi-variate logistic regression models to assess association between polypharmacy with low quality-of-life, controlling for age, sex, IBD-type, number of comorbidities and depression.

RESULTS

In 100 adults ≥ 60 years with IBD, with a median age of 68 years, 56% met criteria for remission by a validated disease activity index. Polypharmacy, defined as ≥ 5 concomitant medications, was noted in 86% of the cohort and 45% had severe polypharmacy, defined as ≥ 10 concomitant medications. In this cohort, 48% were on ≥ 1 medication that met Beer's criteria for potentially inappropriate in older adults and 24% had a cumulative anti-cholinergic drug burden score of ≥ 3, the threshold for serious adverse events attributed to anti-cholinergic burden. Serious drug-drug interactions were found in 26% with 7% involving an IBD medication. Controlling for potential confounders, polypharmacy, defined both numerically (OR 22.79, p < 0.01) and by medication appropriateness (OR 1.95, p < 0.01), was significantly associated with low quality of life.

CONCLUSION

Polypharmacy is prevalent in older adults with IBD and independently associated with low quality of life. Describing polypharmacy can guide de-prescription strategies tailored to GI clinic for older adults with IBD.

Use of prescribed analgesics before and after exercise therapy and patient education in patients with knee or hip osteoarthritis

The aim of this study was to investigate utilisation patterns of prescribed analgesics before, during, and after an exercise therapy and patient education program among patients with knee or hip osteoarthritis. This cohort study is based on data from the nationwide Good Life with osteoarthritis in Denmark (GLA:D®) patient-register linked with national health registries including data on prescribed analgesics. GLA:D® consists of 8-12 weeks of exercise and patient education. We included 35,549 knee/hip osteoarthritis patients starting the intervention between January 2013 and November 2018. Utilisation patterns the year before, 3 months during, and the year after the intervention were investigated using total dispensed defined daily doses (DDDs) per month per 1000 population as outcome. During the year before the intervention, use of prescribed paracetamol, non-steroidal anti-inflammatory drugs (NSAIDs), and opioids increased with 85%, 79% and 22%, respectively. During the intervention, use of paracetamol decreased with 16% with a stable use the following year. Use of NSAIDs and opioids decreased with 38% and 8%, respectively, throughout the intervention and the year after. Sensitivity analyses indicated that the prescription of most analgesics changed over time. For paracetamol, NSAIDs, and opioids, 10% of analgesic users accounted for 45%, 50%, and 70%, respectively, of the total DDDs dispensed during the study period. In general, analgesic use increased the year before the intervention followed by a decrease during the intervention and the year after. A small proportion of analgesic users accounted for half or more of all paracetamol, NSAIDs, and opioids dispensed during the study period.

Development and internal validation of a prediction model for long-term opioid use-an analysis of insurance claims data

ABSTRACT

In the United States, a public-health crisis of opioid overuse has been observed, and in Europe, prescriptions of opioids are strongly increasing over time. The objective was to develop and validate a multivariable prognostic model to be used at the beginning of an opioid prescription episode, aiming to identify individual patients at high risk for long-term opioid use based on routinely collected data. Predictors including demographics, comorbid diseases, comedication, morphine dose at episode initiation, and prescription practice were collected. The primary outcome was long-term opioid use, defined as opioid use of either >90 days duration and ≥10 claims or >120 days, independent of the number of claims. Traditional generalized linear statistical regression models and machine learning approaches were applied. The area under the curve, calibration plots, and the scaled Brier score assessed model performance. More than four hundred thousand opioid episodes were included. The final risk prediction model had an area under the curve of 0.927 (95% confidence interval 0.924-0.931) in the validation set, and this model had a scaled Brier score of 48.5%. Using a threshold of 10% predicted probability to identify patients at high risk, the overall accuracy of this risk prediction model was 81.6% (95% confidence interval 81.2% to 82.0%). Our study demonstrated that long-term opioid use can be predicted at the initiation of an opioid prescription episode, with satisfactory accuracy using data routinely collected at a large health insurance company. Traditional statistical methods resulted in higher discriminative ability and similarly good calibration as compared with machine learning approaches.

Guideline No. 443a: Opioid Use Throughout Women's Lifespan: Fertility, Contraception, Chronic Pain, and Menopause

OBJECTIVE

To provide health care providers with the best evidence on opioid use and women's health. Areas of focus include general patterns of opioid use and safety of use; care of women who use opioids; stigma, screening, brief intervention, and referral to treatment; hormonal regulation; reproductive health, including contraception and fertility; sexual function; perimenopausal and menopausal symptoms; and chronic pelvic pain syndromes.

TARGET POPULATION

The target population includes all women currently using or contemplating using opioids.

OUTCOMES

Open, evidence-informed dialogue about opioid use will lead to improvements in patient care and overall health.

BENEFITS, HARMS, AND COSTS

Exploring opioid use through a trauma-informed approach offers the health care provider and patient with an opportunity to build a strong, collaborative, and therapeutic alliance. This alliance empowers women to make informed choices about their own care. It also allows for the diagnosis and possible treatment of opioid use disorders. Use should not be stigmatized, as stigma leads to poor "partnered care" (i.e., the partnership between the patient and care provider). Therefore, health care providers and patients must understand the potential role of opioids in women's health (both positive and negative) to ensure informed decision-making.

EVIDENCE

A literature search was designed and carried out in PubMed and the Cochrane Library databases from August 2018 until March 2023 using following MeSH terms and keywords (and variants): opioids, illicit drugs, fertility, pregnancy, breastfeeding, and aging.

VALIDATION METHODS

The authors rated the quality of evidence and strength of recommendations using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. See online Appendix A (Tables A1 for definitions and A2 for interpretations of strong and weak recommendations).

INTENDED AUDIENCE

All health care providers who care for women.

TWEETABLE ABSTRACT

Opioid use can affect female reproductive function; health care providers and patients must understand the potential role of opioids in women's health to ensure informed decision-making.

SUMMARY STATEMENTS

RECOMMENDATIONS.

Predictors of persistent opioid use in non-cancer older adults: a retrospective cohort study

BACKGROUND

Long-term opioid use and associated adverse outcomes have increased dramatically in recent years. Limited research is available on long-term opioid use in older adults.

OBJECTIVE

We aimed to determine the incidence and predictors of long-term or persistent opioid use (POU) amongst opioid-naïve older adults without a cancer diagnosis.

METHODS

This was a retrospective cohort study using five national administrative healthcare databases in New Zealand. We included all opioid-naïve older adults (≥65 years) who were initiated on opioid therapy between January 2013 and June 2018. The outcome of interest was POU, defined as having continuously filled ≥1 opioid prescription within 91-180 days after the index opioid prescription. Multivariable logistic regression was used to examine the predictors of POU.

RESULTS

The final sample included 268,857 opioid-naïve older adults; of these, 5,849(2.2%) developed POU. Several predictors of POU were identified. The use of fentanyl (adjusted odds ratio (AOR) = 3.61; 95% confidence interval (CI) 2.63-4.95), slow-release opioids (AOR = 3.02; 95%CI 2.78-3.29), strong opioids (AOR = 2.03; 95%CI 1.55-2.65), Charlson Comorbidity Score ≥ 3 (AOR = 2.09; 95% CI 1.78-2.46), history of substance abuse (AOR = 1.52; 95%CI 1.35-1.72), living in most socioeconomically deprived areas (AOR = 1.40; 95%CI 1.27-1.54), and anti-epileptics (AOR = 2.07; 95%CI 1.89-2.26), non-opioid analgesics (AOR = 2.05; 95%CI 1.89-2.21), antipsychotics (AOR = 1.96; 95%CI 1.78-2.17) or antidepressants (AOR = 1.50; 95%CI 1.41-1.59) medication use were the strongest predictors of POU.

CONCLUSION

A significant proportion of patients developed POU, and several factors were associated with POU. The findings will enable healthcare providers and policymakers to target early interventions to prevent POU and related adverse events.

Five-Year Trajectories of Prescription Opioid Use

Importance

There are known risks of using opioids for extended periods. However, less is known about the long-term trajectories of opioid use following initiation.

Objective

To identify 5-year trajectories of prescription opioid use, and to examine the characteristics of each trajectory group.

Design, Setting, and Participants

This population-based cohort study conducted in New South Wales, Australia, linked national pharmaceutical claims data to 10 national and state data sets to determine sociodemographic characteristics, clinical characteristics, drug use, and health services use. The cohort included adult residents (aged ≥18 years) of New South Wales who initiated a prescription opioid between July 1, 2003, and December 31, 2018. Statistical analyses were conducted from February to September 2022.

Exposure

Dispensing of a prescription opioid, with no evidence of opioid dispensing in the preceding 365 days, identified from pharmaceutical claims data.

Main Outcomes and Measures

The main outcome was the trajectories of monthly opioid use over 60 months from opioid initiation. Group-based trajectory modeling was used to classify these trajectories. Linked health care data sets were used to examine characteristics of individuals in different trajectory groups.

Results

Among 3 474 490 individuals who initiated a prescription opioid (1 831 230 females [52.7%]; mean [SD] age, 49.7 [19.3] years), 5 trajectories of long-term opioid use were identified: very low use (75.4%), low use (16.6%), moderate decreasing to low use (2.6%), low increasing to moderate use (2.6%), and sustained use (2.8%). Compared with individuals in the very low use trajectory group, those in the sustained use trajectory group were older (age ≥65 years: 22.0% vs 58.4%); had more comorbidities, including cancer (4.1% vs 22.2%); had increased health services contact, including hospital admissions (36.9% vs 51.6%); had higher use of psychotropic (16.4% vs 42.4%) and other analgesic drugs (22.9% vs 47.3%) prior to opioid initiation, and were initiated on stronger opioids (20.0% vs 50.2%).

Conclusions and relevance

Results of this cohort study suggest that most individuals commencing treatment with prescription opioids had relatively low and time-limited exposure to opioids over a 5-year period. The small proportion of individuals with sustained or increasing use was older with more comorbidities and use of psychotropic and other analgesic drugs, likely reflecting a higher prevalence of pain and treatment needs in these individuals.

Population- and individual-level trajectories of opioid prescription patterns among adults with cerebral palsy: a retrospective cohort study

BACKGROUND

There is little epidemiologic evidence on opioid prescription among adults with cerebral palsy (CP).

AIM

To describe the population- and individual-level opioid prescription patterns for adults with versus without CP.

METHOD

This retrospective cohort study used commercial claims (Optum's de-identified Clinformatics® Data Mart Database) from the USA from 01/01/2011-12/31/2017 from adults ≥ 18 years old with CP and matched adults without CP. For the population-level analysis, monthly estimates of opioid exposure were described for adults ≥ 18 years old with CP and matched adults without CP. For the individual-level analysis, group based trajectory modelling (GBTM) was used to identify groups of similar individual-level monthly opioid exposure patterns for adults with CP and matched adults without CP for 1-year starting from their first opioid exposure month.

RESULTS

For the population-level, adults with (n = 13,929) versus without (n = 278,538) CP had a higher prevalence of opioid exposure (~ 12%, ~ 8%) and days supplied (median, ~ 23, ~17) monthly over 7 years. For the individual-level, there were 6 trajectory groups for CP (n = 2099) and 5 for non-CP (n = 10,361). Notably, 14% of CP (comprising 4 distinct trajectory groups) and 8% (comprising 3 distinct groups) of non-CP had variably high monthly opioid volume for extended periods; exposure was higher for CP. The remaining had low/absent opioid exposure trajectories; for CP (non-CP), 55.7% (63.3%) had nearly absent exposure and 30.4% (28.9%) had consistently low exposure to opioids.

CONCLUSION

Adults with versus without CP were more likely to be exposed to opioids and for a longer duration, which may alter the risk-benefit balance of opioids.

Disparities by Sex and Race and Ethnicity in Death Rates Due to Opioid Overdose Among Adults 55 Years or Older, 1999 to 2019

IMPORTANCE

Rates of opioid overdose deaths are increasing for older adults. Less is known about these deaths compared with those of younger adults.

OBJECTIVE

To analyze rate variation among opioid overdose deaths in older adults by sex and by race and ethnicity over time.

DESIGN, SETTING, AND PARTICIPANTS

This 21-year longitudinal cross-sectional study of adults who died due to opioid overdose at 55 years or older stratified by sex and by race and ethnicity used data from the Multiple Cause of Death database from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research. The data include all opioid overdose deaths among this age group that occurred between January 1, 1999, and December 31, 2019 (N = 79 893).

EXPOSURES

Sex and racial and ethnic groups.

MAIN OUTCOMES AND MEASURES

Rates of opioid overdose deaths per 100 000 population by sex and by race and ethnicity for persons 55 years or older.

RESULTS

During the period 1999 to 2019, 79 893 US residents 55 years or older died due to an opioid overdose. Among these individuals, 79.97% were aged 55 to 64 years, and 58.98% were men. Annual numbers of deaths increased over time from 518 in 1999 to 10 292 in 2019. Annual rates of opioid overdose deaths per 100 000 persons 55 years or older increased over time and ranged from 0.90 in 1999 to 10.70 in 2019. Substantial variation by sex and by race and ethnicity was found. In 2013, rates among non-Hispanic Black men began to diverge from those of other demographic subgroups. By 2019, the opioid overdose fatality rate among non-Hispanic Black men 55 years or older was 40.03 per 100 000 population, 4 times greater than the overall opioid overdose fatality rate of 10.70 per 100 000 for persons of the same age.

CONCLUSIONS AND RELEVANCE

In this longitudinal cross-sectional study of US adults who died due to opioid overdose, the burden of opioid overdose deaths among older adults since 2013 was most concentrated among non-Hispanic Black men. Deaths among non-Hispanic Black men were disproportionality represented in the overall increase in the rate of opioid overdose deaths among older adults. Further research is needed to inform policy and practice.

Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes

Identification of patient subtypes from retrospective Electronic Health Record (EHR) data is fraught with inherent modeling issues, such as missing data and variable length time intervals, and the results obtained are highly dependent on data pre-processing strategies. As we move towards personalized medicine, assessing accurate patient subtypes will be a key factor in creating patient specific treatment plans. Partitioning longitudinal trajectories from irregularly spaced and variable length time intervals is a well-established, but open problem. In this work, we present and compare k-means approaches for subtyping opioid use trajectories from EHR data. We then interpret the resulting subtypes using decision trees, examining how each subtype is influenced by opioid medication features and patient diagnoses, procedures, and demographics. Finally, we discuss how the subtypes can be incorporated in static machine learning models as features in predicting opioid overdose and adverse events. The proposed methods are general, and can be extended to other EHR prescription dosage trajectories.

Sociodemographic and Clinical Predictors of Prescription Opioid Use in a Longitudinal Community-Based Cohort Study of Middle-Aged and Older Adults

Objectives

Identifying factors associated with opioid use in middle-aged and older adults is a fundamental step in the mitigation of potentially unnecessary opioid consumption and opioid-related harms.

Methods

Using longitudinal data on a community-based cohort of adults aged 50–90 years residing in Johnston County, North Carolina, we examined sociodemographic and clinical factors in non-opioid users (n = 786) at baseline (2006–2010) as predictors of opioid use at follow-up (2013–2015). Variables included age, sex, race, obesity, educational attainment, employment status, household poverty rate, marital status, depressive symptoms, social support, pain catastrophizing, pain sensitivity, insurance status, polypharmacy, and smoking status.

Results

At follow-up, 13% of participants were using prescription opioids. In the multivariable model, high pain catastrophizing (adjusted odds ratio; 95% confidence interval = 2.14; 1.33–3.46), polypharmacy (2.08; 1.23–3.53), and history of depressive symptoms (2.00; 1.19–3.38) were independent markers of opioid use.

Discussion

Findings support the assessment of these modifiable factors during clinical encounters in patients ≥ 50 years old with chronic pain.

A Retrospective Study of Psychotropic Drug Use and Prescription Opioid Initiation Among Older Adults

Individuals with mental health problems may be more vulnerable to using prescription opioids than their counterparts. Therefore, the main objective of this study was to assess the initiation of prescription opioids in older adults who used psychotropic drugs compared with those who did not. The authors used a retrospective cohort design and included a sample of older adults enrolled in Pennsylvania's Pharmaceutical Assistance Contract for the Elderly program who did not use prescription opioids in 2013. Using pharmacy claims, patients who used anxiolytics/sedatives/hypnotics (n = 13,512) or antidepressants (n = 17,492) between October and December 2013 were identified and compared with those who did not use anxiolytics/sedatives/hypnotics (n = 114,091) or antidepressants (n = 110,111) during that period, to determine the incidence of prescription opioid use in 2014. Chi-square tests and multivariate logistic regressions were performed for analyses. Compared with patients who did not use anxiolytics/sedatives/hypnotics, those who used were more likely to initiate prescription opioids (15.0% versus 22.0%, P < .0001). Similarly, compared with patients who did not use antidepressants, those who used were more likely to initiate prescription opioids (14.7% versus 21.9%, P < .0001). Multivariate logistic regression indicated that the odds of prescription opioid initiation increased with anxiolytic/sedative/hypnotic use by 44% (AOR = 1.44; P < .0001) and antidepressant use by 48% (AOR = 1.48; P < .0001) among older adults after adjusting for potential confounding variables. Results showed that prescription opioid initiation is associated with prior anxiolytic/sedative/hypnotic or antidepressant use among older adults. Patients with mental health problems should also be queried about pain experiences for effective treatment.

Predictors of chronic opioid therapy in Medicaid beneficiaries with HIV who initiated antiretroviral therapy

The factors associated with chronic opioid therapy (COT) in patients with HIV is understudied. Using Medicaid data (2002–2009), this retrospective cohort study examines COT in beneficiaries with HIV who initiated standard combination anti-retroviral therapy (cART). We used generalized estimating equations on logistic regression models with backward selection to identify significant predictors of COT initiation. COT was initiated among 1014 out of 9615 beneficiaries with HIV (male: 10.4%; female: 10.7%). Those with older age, any malignancy, Hepatitis C infection, back pain, arthritis, neuropathy pain, substance use disorder, polypharmacy, (use of) benzodiazepines, gabapentinoids, antidepressants, and prior opioid therapies were positively associated with COT. In sex-stratified analyses, multiple predictors were shared between male and female beneficiaries; however, chronic obstructive pulmonary disease, liver disease, any malignancy, and antipsychotic therapy were unique to female beneficiaries. Comorbidities and polypharmacy were important predictors of COT in Medicaid beneficiaries with HIV who initiated cART.

Endogenous opiates and behavior: 2019

This paper is the forty-second consecutive installment of the annual anthological review of research concerning the endogenous opioid system, summarizing articles published during 2019 that studied the behavioral effects of molecular, pharmacological and genetic manipulation of opioid peptides and receptors as well as effects of opioid/opiate agonists and antagonists. The review is subdivided into the following specific topics: molecular-biochemical effects and neurochemical localization studies of endogenous opioids and their receptors (1), the roles of these opioid peptides and receptors in pain and analgesia in animals (2) and humans (3), opioid-sensitive and opioid-insensitive effects of nonopioid analgesics (4), opioid peptide and receptor involvement in tolerance and dependence (5), stress and social status (6), learning and memory (7), eating and drinking (8), drug abuse and alcohol (9), sexual activity and hormones, pregnancy, development and endocrinology (10), mental illness and mood (11), seizures and neurologic disorders (12), electrical-related activity and neurophysiology (13), general activity and locomotion (14), gastrointestinal, renal and hepatic functions (15), cardiovascular responses (16), respiration and thermoregulation (17), and immunological responses (18).

Health Costs of Older Opioid Users with Pain and Comorbid Hypercholesterolemia or Hypertension in the United States

This retrospective cross-sectional database study used 2018 Medical Expenditure Panel Survey data to quantify and assess differences in healthcare expenditures between opioid users and non-users among a non-institutionalized sample of older (≥50 years) United States adults with pain in the past four weeks and a diagnosis of comorbid hypercholesterolemia (pain-hypercholesterolemia group) or hypertension (pain-hypertension group). Hierarchical multivariable linear regression models were constructed by using logarithmically transformed positive cost data and adjusting for relevant factors to assess cost differences between groups. Percent difference between opioid users and non-users was calculated by using semi-logarithmic equations. Healthcare costs included inpatient, outpatient, office-based, emergency room, prescription medication, other, and total costs. In adjusted analyses, compared to non-users, opioid users in the pain-hypercholesterolemia and pain-hypertension groups respectively had 66% and 60% greater inpatient expenditure, 46% and 55% greater outpatient expenditure, 67% and 72% greater office-based expenditure, 50% and 60% greater prescription medication expenditure, 24% and 22% greater other healthcare expenditure, and 85% and 93% greater total healthcare expenditure. In conclusion, adjusted total healthcare expenditures were 85-93% greater among opioid users versus non-users in older United States adults with pain and comorbid hypercholesterolemia or hypertension. Future research is needed to identify opioid use predictors among these populations and reduce expenditures.

Opioid painkiller dependence in a sample of elderly medical inpatients

BACKGROUND

Over the past few years, there has been a growing concern about prescription opioid misuse and dependence in the elderly. Our study aimed to investigate the prevalence of previous and current prescription opioid dependence among elderly medical inpatients recruited from a large German hospital.

METHODS

This cross-sectional study analyzed a cohort of inpatients aged 65 years and older who were assessed with a structured clinical interview. Levels of past and current dependence on opioids benzodiazepines, hypnotics, and non-opioid analgesics were assessed.

RESULTS

Of 2108 elderly inpatients admitted to the hospital during a 6-month period, 400 fulfilled the inclusion criteria and agreed to participate to the survey. Among these 400 subjects, 43 (10.8%) presented with a dependence on opioid analgesics, including 41 with current dependence and 22 (51.2%) with a de novo condition. Addiction severity was considered mild in 65.1% of cases and severe in 11.6% of cases. Tilidine and oxycodone were the most typically reported molecules.

CONCLUSIONS

Further research is warranted, to better understand the possible risk factors of prescription drug misuse, abuse, and addiction in this vulnerable population. Clinicians should be updated and informed regarding both prescription medication misuse potential and safe prescribing practices in the elderly.

An Evaluation of Opioid Use in Black Communities: A Rapid Review of the Literature

BACKGROUND

There are multiple aspects of the opioid crisis among Black people, who have been left out of the broader conversation. Despite evidence of increased opioid overdose deaths, less is known about opioid use among Black people. This review synthesizes research on Black people who use opioids; the goals are to advance knowledge, highlight research gaps, and inform clinical practice.

METHODS

This rapid review investigating opioid use among Black people utilized systematic review methods and was conducted according to a predefined protocol with clear inclusion criteria (PROSPERO ID: 177071). A comprehensive search strategy was used, including published and gray-literature sources (i.e., literature that has not been formally published). A narrative summary of the results is presented.

RESULTS

A total of 76 works were selected for inclusion and full text review. Sex, age, geographic location, and involvement in the carceral system were associated with the use of opioids among Black individuals. Non-epidemiologic factors included treatment-seeking patterns, disparate clinician prescribing, and social determinants.

CONCLUSIONS

Through this rapid review we suggest three main areas of focus: (1) including culturally informed collection methods in epidemiologic surveys to accurately reflect prevalences, (2) funding research that specifically addresses the importance of culture in accessing treatment, and (3) directly studying how social determinants can improve or exacerbate health outcomes. Focusing on the unique needs of Black people who use opioids is warranted to increase treatment initiation and adherence among a population less likely to engage with the traditional health care system.

Patterns of Long-Term Prescription Opioid Use Among Older Adults in the United States: A Study of Medicare Administrative Claims Data

BACKGROUND

Long-term opioid therapy was prescribed with increasing frequency over the past decade. However, factors surrounding long-term use of opioids in older adults remains poorly understood, probably because older people are not at the center stage of the national opioid crisis.

OBJECTIVES

To estimate the annual utilization and trends in long-term opioid use among older adults in the United States.

STUDY DESIGN

Retrospective cohort study.

SETTING

Data from Medicare-enrolled older adults.

METHODS

This study utilized a nationally representative sample of Medicare administrative claims data from the years 2012 to 2016 containing records of health care services for more than 2.3 million Medicare beneficiaries each year. Medicare beneficiaries who were 65 years of age or older and who were enrolled in Medicare Parts A, B, and D, but not Part C, for at least 10 months in a year were included in the study. We measured annual utilization and trends in new long-term opioid use episodes over 4 years (2013-2016). We examined claims records for the demographic characteristics of the eligible individuals and for the presence of chronic non-cancer pain (CNCP), cancer, and other comorbidities.

RESULTS

From 2013 to 2016, administrative claims of approximately 2.3 million elderly Medicare beneficiaries were analyzed in each year with a majority of them being women (~56%) and white (~82%) with a mean age of approximately 75 years. The proportion of all eligible beneficiaries with at least one new opioid prescription increased from 6.64% in 2013, peaked at 10.32% in 2015, and then decreased to 8.14% in 2016. The proportion of individuals with long-term opioid use among those with a new opioid prescription was 12.40% in 2013 and 10.20% in 2016. Among new long-term opioid users, the proportion of beneficiaries with a cancer diagnosis during the study years increased from 13.30% in 2013 to 15.67% in 2016, and the proportion with CNCP decreased from 30.25% in 2013 to 27.36% in 2016. Across all years, long-term opioid use was consistently high in the Southern states followed by the Midwest region.

LIMITATIONS

This study used Medicare fee-for-service administrative claims data to capture prescription fill patterns, which do not allow for the capture of individuals enrolled in Medicare Advantage plans, cash prescriptions, or for the evaluation of appropriateness of prescribing, or the actual use of medication. This study only examined long-term use episodes among patients who were defined as opioid-naive. Finally, estimates captured for 2016 could only utilize data from 9 months of the year to capture 90-day long-term-use episodes.

CONCLUSIONS

Using a national sample of elderly Medicare beneficiaries, we observed that from 2013 to 2016 the use of new prescription opioids increased from 2013 to 2014 and peaked in 2015. The use of new long-term prescription opioids peaked in 2014 and started to decrease from 2015 and 2016. Future research needs to evaluate the impact of the changes in new and long-term prescription opioid use on population health outcomes.

Identifying Predictive Characteristics of Opioid Medication Use among a Nationally Representative Sample of United States Older Adults with Pain and Comorbid Hypertension or Hypercholesterolemia

The prevalence of older adults with pain and comorbid cardiovascular conditions is increasing in the United States (U.S.). This retrospective, cross-sectional database study used 2017 Medical Expenditure Panel Survey data and hierarchical logistic regression models to identify predictive characteristics of opioid use among a nationally representative sample of older U.S. adults (aged ≥50 years) with pain in the past four weeks and comorbid hypertension (pain-hypertension group) or hypercholesterolemia (pain-hypercholesterolemia group). The pain-hypertension group included 2733 subjects (n = 803 opioid users) and the pain-hypercholesterolemia group included 2796 subjects (n = 795 opioid users). In both groups, predictors of opioid use included: White race versus others, Hispanic versus non-Hispanic ethnicity, 1 versus ≥5 chronic conditions, little/moderate versus quite a bit/extreme pain, good versus fair/poor perceived mental health, functional limitation versus no functional limitation, smoker versus non-smoker, and Northeast versus West census region. In addition, Midwest versus West census region was a predictor in the pain-hypertension group, and 4 versus ≥5 chronic conditions was a predictor in the pain-hypercholesterolemia group. In conclusion, several characteristics of older U.S. adults with pain and comorbid hypertension or hypercholesterolemia were predictive of opioid use. These characteristics could be addressed to optimize individuals' pain management and help address the opioid overdose epidemic.

The Effects of Opioids on Cognition in Older Adults With Cancer and Chronic Noncancer Pain: A Systematic Review

CONTEXT

Opioids are prescribed to manage moderate-to-severe pain and can be used with older adults; however, they may lead to several adverse effects, including cognitive impairment.

OBJECTIVES

To identify, appraise, and synthesize evidence on the impact of opioids on cognition in older adults with cancer/chronic noncancer pain, and screening tools/neuropsychological assessments used to detect opioid-induced cognitive impairment.

METHODS

A systematic literature review following the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (international prospective register of systematic reviews registration: CRD42018092943). MEDLINE, EMBASE, PsycINFO, CINAHL, Cochrane Library, and Web of Science were searched up to December 2018. Randomized controlled trials, quasi-experimental studies, and observational studies of adults aged 65 years and older with cancer/chronic noncancer pain taking opioids were included. A narrative synthesis was conducted.

RESULTS

From 4036 records, 10 met inclusion criteria. Five studies used one screening tool, and five studies used a range of neuropsychological assessments; assessing 14 cognitive domains. Most studies demonstrated no effect of opioid use on cognitive domains, whereas four studies showed mixed effects. In particular, attention, language, orientation, psychomotor function, and verbal working/delayed episodic memory were worsened. Changes to cognitive function were predominantly observed in studies with higher mean doses of opioids (120-190.7mg oral morphine equivalent daily dose).

CONCLUSION

Both improvements and impairments to cognition were observed in studies with higher mean opioid doses. In clinical practice, a brief screening tool assessing attention, language, orientation, psychomotor function, and verbal working/delayed episodic memory may be beneficial to detect worsening cognition in older adults with chronic pain using opioids.