New-onset persistent opioid use following breast cancer treatment in older adult women

Long-term Health Outcomes of New Persistent Opioid Use After Gastrointestinal Cancer Surgery

BACKGROUND

New persistent opioid use (NPOU) after surgery has been identified as a common complication. This study sought to assess the long-term health outcomes among patients who experienced NPOU after gastrointestinal (GI) cancer surgery.

METHODS

Patients who underwent surgery for hepato-pancreato-biliary and colorectal cancer between 2007 and 2019 were identified using the Surveillance, Epidemiology, and End Results (SEER)-Medicare-linked database. Mixed-effect multivariable logistic regression and Cox proportional hazard models were used to estimate the risk of mortality and hospital visits related to falls, respiratory events, or pain symptoms.

RESULTS

Among 15,456 patients who underwent GI cancer surgery, 967(6.6%) experienced NPOU. Notably, the patients at risk for the development of NPOU were those with a history of substance abuse (odds ratio [OR], 1.45; 95% confidence interval [CI], 1.14-1.84), moderate social vulnerability (OR, 1.26; 95% CI, 1.06-1.50), an advanced disease stage (OR, 4.42; 95% CI, 3.51-5.82), or perioperative opioid use (OR, 3.07; 95% CI, 2.59-3.63. After control for competing risk factors, patients who experienced NPOU were more likely to visit a hospital for falls, respiratory events, or pain symptoms (OR, 1.45, 95% CI 1.18-1.78). Moreover, patients who experienced NPOU had a greater risk of death at 1 year (hazard ratio [HR], 2.15; 95% CI, 1.74-2.66).

CONCLUSION

Approximately 1 in 15 patients experienced NPOU after GI cancer surgery. NPOU was associated with an increased risk of subsequent hospital visits and higher mortality. Targeted interventions for individuals at higher risk for NPOU after surgery should be used to help mitigate the harmful effects of NPOU.

Trends in new and persistent opioid use in older adults with and without cancer

BACKGROUND

The impact of ongoing efforts to decrease opioid use on patients with cancer remains undefined. Our objective was to determine trends in new and additional opioid use in patients with and without cancer.

METHODS

This retrospective cohort study used data from Surveillance, Epidemiology, and End Results program-Medicare for opioid-naive patients with solid tumor malignancies diagnosed from 2012 through 2017 and a random sample of patients without cancer. We identified 238 470 eligible patients with cancer and further focused on 4 clinical strata: patients without cancer, patients with metastatic cancer, patients with nonmetastatic cancer treated with surgery alone ("surgery alone"), and patients with nonmetastatic cancer treated with surgery plus chemotherapy or radiation therapy ("surgery+"). We identified new, early additional, and long-term additional opioid use and calculated the change in predicted probability of these outcomes from 2012 to 2017.

RESULTS

New opioid use was higher in patients with cancer (46.4%) than in those without (6.9%) (P < .001). From 2012 to 2017, the predicted probability of new opioid use was more stable in the cancer strata (relative declines: 0.1% surgery alone; 2.4% surgery+; 8.8% metastatic cancer), than in the noncancer stratum (20.0%) (P < .001 for each cancer to noncancer comparison). Early additional use declined among surgery patients (‒14.9% and ‒17.5% for surgery alone and surgery+, respectively) but was stable among patients with metastatic disease (‒2.8%, P = .50).

CONCLUSIONS

Opioid prescribing declined over time at a slower rate in patients with cancer than in patients without cancer. Our study suggests important but tempered effects of the changing opioid climate on patients with cancer.

The importance of translationally evaluating steroid hormone contributions to substance use

Clinically, women appear to be more susceptible to certain aspects of substance use disorders (SUDs). The steroid hormones 17β-estradiol (E2) and progesterone (Pg) have been linked to women-specific drug behaviors. Here, we review clinical and preclinical studies investigating how cycling ovarian hormones affect nicotine-, cocaine-, and opioid-related behaviors. We also highlight gaps in the literature regarding how synthetic steroid hormone use may influence drug-related behaviors. In addition, we explore how E2 and Pg are known to interact in brain reward pathways and provide evidence of how these interactions may influence drug-related behaviors. The synthesis of this review demonstrates the critical need to study women-specific factors that may influence aspects of SUDs, which may play important roles in addiction processes in a sex-specific fashion. It is important to understand factors that impact women's health and may be key to moving the field forward toward more efficacious and individualized treatment strategies.

Pain management practices for outpatients with breast cancer

Objectives

Methods

Results

Conclusions

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One in four women office visits for breast cancer received pain medication prescriptions.

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Among the patients receiving pain medications, one in seven women received opioids.

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Both patient and provider characteristics contribute to variations in pain management in breast cancer patients.

Opioid Prescribing and Use Among Cancer Survivors: A Mapping Review of Observational and Intervention Studies

CONTEXT

Recent years show a sharp increase in research on opioid use among cancer survivors, but evidence syntheses are lacking, leaving knowledge gaps. Corresponding research needs are unclear.

OBJECTIVES

To provide an evidence synthesis.

METHODS

We searched PubMed and Embase, identifying articles related to cancer, and opioid prescribing/use published through September 2020. We screened resulting titles/abstracts. Relevant studies underwent full-text review. Inclusion criteria were quantitative examination of and primary focus on opioid prescribing or use, and explicit inclusion of cancer survivors. Exclusion criteria included end-of-life opioid use and opioid use as a secondary or downstream outcome (for intervention studies). We extracted information on the opioid-related outcome(s) examined (including definitions and terminology used), study design, and methods.

RESULTS

Research returned 16,591 articles; 296 were included. Only 22 of 296 studies evaluated an intervention. There were 105 studies evaluating outcomes indicative of potentially high-risk, nonrecommended, or avoidable opioid use, e.g., continuous use-described as chronic use, prolonged use, and persistent use (n = 17); use after completion of curative-intent treatment-described as chronic opioid use, long-term opioid use, persistent opioid use, prolonged opioid use, continued opioid use, late opioid use, post-treatment opioid use (n = 27); use of opioids concurrent with other potentially high-risk medications (n = 13), and opioid misuse (n = 14).

CONCLUSIONS

We found lack of consistency in the measurement of and terms used to describe similar opioid use outcomes, and a lack of interventional research targeting well-documented patterns of potentially nonrecommended, potentially avoidable, or potentially high-risk opioid prescribing or use.

Patterns and Trends in Receipt of Opioids Among Patients Receiving Treatment for Cancer in a Large Health System

BACKGROUND

Given limited evidence on opioid prescribing among patients receiving treatment for cancer during the ongoing opioid epidemic, our objective was to assess predictors of and trends in opioid receipt during cancer treatment, including how patterns differ by type of cancer.

METHODS

Using cancer registry data, we identified patients with a first lifetime primary diagnosis of breast, colorectal, or lung cancer from 2013 to 2017 who underwent treatment within a large cancer center network. Cancer registry data were linked to electronic health record information on opioid prescriptions. We examined predictors of and trends in receipt of any opioid prescription within 12 months of cancer diagnosis.

RESULTS

The percentage of patients receiving opioids varied by cancer type: breast cancer, 35% (1,996/5,649); colorectal, 37% (776/2,083); lung, 47% (1,259/2,654). In multivariable analysis, opioid use in the year before cancer diagnosis was the factor most strongly associated with receipt of opioids after cancer diagnosis, with 4.90 (95% CI, 4.10-5.86), 5.09 (95% CI, 3.88-6.69), and 3.31 (95% CI, 2.68-4.10) higher odds for breast, colorectal, and lung cancers, respectively. We did not observe a consistent decline in opioid prescribing over time, and trends differed by cancer type.

CONCLUSIONS

Our findings suggest that prescription of opioids to patients with cancer varies by cancer type and other factors. In particular, patients are more likely to receive opioids after cancer diagnosis if they were previously exposed before diagnosis, suggesting that pain among patients with cancer may commonly include non-cancer-related pain. Heterogeneity and complexity among patients with cancer must be accounted for in developing policies and guidelines aimed at addressing pain management while minimizing the risk of opioid misuse.

A systematic review of assessment approaches to predict opioid misuse in people with cancer

Context

Cancer prevalence is increasing, with many patients requiring opioid analgesia. Clinicians need to ensure patients receive adequate pain relief. However, opioid misuse is widespread, and cancer patients are at risk.

Objectives

This study aims (1) to identify screening approaches that have been used to assess and monitor risk of opioid misuse in patients with cancer; (2) to compare the prevalence of risk estimated by each of these screening approaches; and (3) to compare risk factors among demographic and clinical variables associated with a positive screen on each of the approaches.

Methods

Medline, Cochrane Controlled Trial Register, PubMed, PsycINFO, and Embase databases were searched for articles reporting opioid misuse screening in cancer patients, along with handsearching the reference list of included articles. Bias was assessed using tools from the Joanna Briggs Suite.

Results

Eighteen studies met the eligibility criteria, evaluating seven approaches: Urine Drug Test (UDT) (n = 8); the Screener and Opioid Assessment for Patients with Pain (SOAPP) and two variants, Revised and Short Form (n = 6); the Cut-down, Annoyed, Guilty, Eye-opener (CAGE) tool and one variant, Adapted to Include Drugs (n = 6); the Opioid Risk Tool (ORT) (n = 4); Prescription Monitoring Program (PMP) (n = 3); the Screen for Opioid-Associated Aberrant Behavior Risk (SOABR) (n = 1); and structured/specialist interviews (n = 1). Eight studies compared two or more approaches. The rates of risk of opioid misuse in the studied populations ranged from 6 to 65%, acknowledging that estimates are likely to have varied partly because of how specific to opioids the screening approaches were and whether a single or multi-step approach was used. UDT prompted by an intervention or observation of aberrant opioid behaviors (AOB) were conclusive of actual opioid misuse found to be 6.5–24%. Younger age, found in 8/10 studies; personal or family history of anxiety or other mental ill health, found in 6/8 studies; and history of illicit drug use, found in 4/6 studies, showed an increased risk of misuse.

Conclusions

Younger age, personal or familial mental health history, and history of illicit drug use consistently showed an increased risk of opioid misuse. Clinical suspicion of opioid misuse may be raised by data from PMP or any of the standardized list of AOBs. Clinicians may use SOAPP-R, CAGE-AID, or ORT to screen for increased risk and may use UDT to confirm suspicion of opioid misuse or monitor adherence. More research into this important area is required.

Significance of results

This systematic review summarized the literature on the use of opioid misuse risk approaches in people with cancer. The rates of reported risk range from 6 to 65%; however, true rate may be closer to 6.5–24%. Younger age, personal or familial mental health history, and history of illicit drug use consistently showed an increased risk of opioid misuse. Clinicians may choose from several approaches. Limited data are available on feasibility and patient experience.

PROSPERO registration number.

CRD42020163385.

Opioid Use Disorder and Overdose in Older Adults With Breast, Colorectal, or Prostate Cancer

BACKGROUND

Despite high rates of opioid therapy, evidence about the risk of preventable opioid harms among cancer survivors is underdeveloped. Our objective was to estimate the odds of opioid use disorder (OUD) and overdose following breast, colorectal, or prostate cancer diagnosis among Medicare beneficiaries.

METHODS

We conducted a retrospective cohort study using 2007-2014 Surveillance, Epidemiology, and End Results-Medicare data for cancer survivors with a first cancer diagnosis of stage 0-III breast, colorectal, or prostate cancer at age 66-89 years between 2008 and 2013. Cancer survivors were matched to up to 2 noncancer controls on age, sex, and Surveillance, Epidemiology, and End Results region. Using Firth logistic regression, we estimated adjusted 1-year odds of OUD or nonfatal opioid overdose associated with a cancer diagnosis. We also estimated adjusted odds of OUD and overdose separately and by cancer stage, prior opioid use, and follow-up time.

RESULTS

Among 69 889 cancer survivors and 125 007 controls, the unadjusted rates of OUD or nonfatal overdose were 25.2, 27.1, 38.9, and 12.4 events per 10 000 patients in the noncancer, breast, colorectal, and prostate samples, respectively. There was no association between cancer and OUD. Colorectal survivors had 2.3 times higher odds of opioid overdose compared with matched controls (adjusted odds ratio = 2.33, 95% confidence interval  = 1.49 to 3.67). Additionally, overdose risk was greater in those with more advanced disease, no prior opioid use, and preexisting mental health conditions.

CONCLUSIONS

Opioid overdose was a rare, but statistically significant, outcome following stage II-III colorectal cancer diagnosis, particularly among previously opioid-naïve patients. These patients may require heightened screening and intervention to prevent inadvertent adverse opioid harms.

Predictors of Chronic Opioid Use: A Population-level Analysis of North Carolina Cancer Survivors Using Multi-Payer Claims

Background

No population-based studies have examined chronic opioid use among cancer survivors who are diverse with respect to diagnosis, age group, and insurance status.

Methods

We conducted a retrospective cohort study using North Carolina cancer registry data linked with claims from public and private insurance (2006-2016). We included adults with nonmetastatic cancer who had no prior chronic opioid use (n = 38 366). We used modified Poisson regression to assess the adjusted relative risk of chronic opioid use in survivorship (>90-day continuous supply of opioids in the 13-24 months following diagnosis) associated with patient characteristics.

Results

Only 3.0% of cancer survivors in our cohort used opioids chronically in survivorship. Predictors included younger age (adjusted risk ratio [aRR] 50-59 vs 60-69 = 1.23, 95% confidence interval [CI] = 1.05 to 1.43), baseline depression (aRR = 1.22, 95% CI = 1.06 to 1.41) or substance use (aRR = 1.43, 95% CI = 1.15 to 1.78) and Medicaid (aRR vs private = 1.93, 95% CI = 1.56 to 2.40). Survivors who used opioids intermittently (vs not at all) before diagnosis were twice as likely to use opioids chronically in survivorship (aRR = 2.62, 95% CI = 2.28 to 3.02). Those who used opioids chronically (vs intermittently or not at all) during active treatment had a nearly 17-fold increased likelihood of chronic use in survivorship (aRR = 16.65, 95% CI = 14.30 to 19.40).

Conclusions

Younger and low-income survivors, those with baseline depression or substance use, and those who require chronic opioid therapy during treatment are at increased risk for chronic opioid use in survivorship. Our findings point to opportunities to improve assessment of psychosocial histories and to engage patients in shared decision-making around long-term pain management, when chronic opioid therapy is required during treatment.

Exploring Factors Associated With Long-Term Opioid Therapy in Cancer Survivors: An Integrative Review

CONTEXT

The prevalence of chronic pain in cancer survivors is double that of the general U.S.

POPULATION

Opioids have been the foundation of cancer pain management for decades; however, there is a paucity of literature on long-term opioid therapy (LTOT) in cancer survivors. An understanding of factors related to LTOT use in cancer survivors is needed to address chronic pain and balance opioid harms in the expanding population of cancer survivors.

OBJECTIVES

To analyze the research of LTOT utilization and factors associated with persistent opioid use in cancer survivors.

METHODS

A five-stage integrative review process was adapted from Whittemore and Knafl. Data sources searched included Web of Science, PubMed, Embase, Cochrane, and Google Scholar. Quantitative research studies from 2010 to present related to cancer survivors managed on LTOT were included. Editorials, reviews, or abstracts were excluded.

RESULTS

After reviewing 315 articles, 21 articles were included. We found that there were several definitions of LTOT in the reviewed studies, but the duration of opioid use (i.e., more than three months after completion of curative treatment) was the most common. The reviewed literature describes a relationship between LTOT and important biopsychosocial factors (cancer type, socioeconomic factors, and comorbidities).

CONCLUSION

The studies in this review shed light on the factors associated with LTOT in cancer survivors. LTOT was common in certain populations of cancer survivors and those with a collection of patient-specific characteristics. This review suggests that there is a critical need for specialized research on chronic cancer pain and opioid safety in cancer survivors.

Trends and patterns in the use of opioids among metastatic breast cancer patients

Opioid use among metastatic breast cancer (MBC) patients has not been well-studied. This study examined the trends and patterns of opioid use among working-age, privately insured patients diagnosed with MBC. Using MarketScan data, we identified female patients diagnosed with MBC in 2006–2015. We determined the proportion of patients who filled a prescription for an opioid and calculated days’ supply and daily morphine milligram equivalents (MMEs) from 1 year prior to diagnosis till 1 year after. We assessed the trend in opioid use over the 10-year study period and examined opioid usage patterns after the diagnosis of MBC. Among 24,752 patients included, 11,579 (46.8%) had an opioid prescription within 1 year before diagnosis of MBC, and 20,416 (81.4%) had an opioid prescription within 1 year after diagnosis. The proportion of patients with opioid prescriptions after diagnosis was relatively stable from 2006 to 2015. However, both the median daily MME and median days’ supply decreased over time with most of the decline from the subgroup of patients with prior prescription opioid use. Most patients received an opioid prescription in the first month after diagnosis (57.3%), dropping to approximately 20% from 3 to 12 months after diagnosis. Also, the median days’ supply increased substantially during the year after diagnosis for patients who received opioids (from 7 to 19). Most women with MBC require opioid analgesia within the first month after diagnosis. Judicious, long-term management of pain after diagnosis of MBC will continue to be necessary for many patients.

Challenges for Women Entering Treatment for Opioid Use Disorder

PURPOSE OF REVIEW

Women with opioid use disorder (OUD) face unique challenges the moment they enter treatment. This narrative review focused on recent literature regarding sex- and gender-based issues that could affect treatment outcomes in women with OUD.

RECENT FINDINGS

Women respond differently to opioids based on hormonal factors, are more likely to present to treatment with mental health conditions, especially depression, and are more likely to have experienced trauma via intimate partner violence compared with men. Women also face stigma when entering OUD treatment, particularly if they have children. Future research to improve OUD treatment outcomes in women should account for sex as a biological variable and gender as a social construct. Women have a fundamentally different experience than men during the course of OUD and upon treatment entry. Programs that address childcare/family support, mental health, and trauma are warranted for women with OUD.

Association of Current Opioid Use With Serious Adverse Events Among Older Adult Survivors of Breast Cancer

IMPORTANCE

National efforts to improve safe opioid prescribing focus on preventing misuse, overdose, and opioid use disorder. This approach overlooks opportunities to better prevent other serious opioid-related harms in complex populations, such as older adult survivors of cancer. Little is known about the rates and risk factors for comprehensive opioid-related harms in this population.

OBJECTIVE

To determine rates of multiple opioid-related adverse drug events among older adults who survived breast cancer and estimate the risk of these events associated with opioid use in the year after completing cancer treatment.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study used 2007 to 2016 Surveillance, Epidemiology and End Results-Medicare data from fee-for-service Medicare beneficiaries with first cancer diagnosis of stage 0 to III breast cancer at age 66 to 90 years from January 1, 2008, through December 31, 2015, who completed active breast cancer treatment. Data were analyzed from October 31, 2019, to June 10, 2020.

EXPOSURES

Repeated daily measure indicating possession of any prescription opioid supply in Medicare Part D prescription claims.

MAIN OUTCOMES AND MEASURES

Adjusted risk ratios (aRRs), estimated using modified Poisson generalized estimating equation models, for adverse drug events related to substance misuse (ie, diagnosed opioid abuse, dependence, or poisoning), other adverse drug events associated with opioid use (ie, gastrointestinal events, infections, falls and fractures, or cardiovascular events), and all-cause hospitalization associated with opioid supply the prior day, controlling for patient characteristics.

RESULTS

Among 38 310 women included in the study (mean [SD] age, 74.3 [6.3] years), there were 0.010 (95% CI, 0.008-0.011) adverse drug events related to substance misuse per 1000 person-days, 0.237 (95% CI, 0.229-0.245) other adverse drug events associated with opioid use per 1000 person-days, and 0.675 (95% CI, 0.662-0.689) all-cause hospitalizations per 1000 person-days. Opioid use was associated with increased risk of adverse drug events related to substance misuse (aRR, 14.62; 95% CI, 9.69-22.05; P < .001), other adverse drug events related to opioid use (aRR, 2.50; 95% CI, 2.11-2.96; P < .001), and all-cause hospitalization (aRR, 2.77; 95% CI, 2.55-3.02; P < .001). In a dose-response effect, individuals with high daily opioid doses had consistently higher risks of all study outcomes compared with individuals who had low opioid doses. Compared with days with no opioid exposure, the risk of any adverse drug event related to substance misuse was 3.4-fold higher for individuals with a current opioid supply ≥50 mg morphine equivalent dose per day (aRR, 3.40; 95% CI, 2.47-4.68; P < .001), while the risk was 2.3-fold higher for individuals with 1 to 49 mg morphine equivalent dose per day (aRR, 2.29; 95% CI, 1.89-2.77; P < .001).

CONCLUSIONS AND RELEVANCE

These findings suggest that among older adults who survived breast cancer, continued prescription opioid use in the year after completing active cancer treatment was associated with an immediate increased risk of a broad range of serious adverse drug events related to substance misuse and other adverse drug events associated with opioid use. Clinicians should consider the comprehensive risks of managing cancer pain with long-term opioid therapy.