Opioid analgesics and the risk of fractures in older adults with arthritis

Long-term use of prescription opioids for non-cancer pain and mortality: a population-based, propensity-weighted cohort study

OBJECTIVE

The objective of this study was to identify factors associated with long-term opioid use and to assess the association between long-term use and death.

STUDY DESIGN

Retrospective cohort study combining several population-wide databases and covering a population of five million inhabitants, including all adults who were initiated on opioid treatment from 2014 to 2018 for non-cancer pain.

METHODS

We used logistic regression models to identify factors associated with chronic opioid use and carried out survival analyses using multivariable Cox regression modelling for all-cause mortality during follow-up using inverse probability of treatment weighting (IPTW) and propensity scores based on the probability of using opioids chronically.

RESULTS

Among 760,006 patients, 82,423 (10.85%) used opioids for 90 days or more after initiation. Initial therapy characteristics associated with higher risk for long-term use were initiating with long- and short-acting opioids (when compared to tramadol, odds ratio [OR]: 2.63, 95% confidence interval [CI]: 2.57, 2.69 and OR: 1.60, 95%CI: 1.46, 1.76, respectively), using higher daily doses (when compared to 50 morphine milligramme equivalent [MME] or less, prescribing 50 to 89 daily MME, OR: 1.76, 95%CI: 1.65, 1.87; 90 to 119 daily MME, OR: 2.44, 95%CI: 1.99, 3.01; and more than 120 daily MME, OR: 1.77, 95%CI: 1.64, 1.91), and overlapping with gabapentinoids (OR: 2.26, 95%CI: 2.20, 2.32), benzodiazepines (OR: 1.32, 95%CI: 1.30, 1.35), and antipsychotics (OR: 1.21, 95%CI: 1.16, 1.26). After IPTW, chronic opioid use was associated with higher risk of all-cause mortality when compared to short-term use (Hazard Ratio (HR): 1.37, 95%CI: 1.32, 1.42). Sensitivity analyses provided similar results.

CONCLUSION

These findings may help healthcare managers to identify and address patients at higher risk of long-term use and riskier prescription patterns.

Optimizing Safe Opioid Prescribing: A Paradigm Shift in Buprenorphine Management for Orthopaedic Surgery

The worsening opioid epidemic in the United States, exacerbated by the COVID-19 pandemic, necessitates innovative approaches to pain management. Buprenorphine, a long-acting opioid, has gained popularity due to its safety profile and accessibility. Orthopaedic surgeons, encountering an increasing number of patients on buprenorphine, face challenges in perioperative management. This article will update orthopaedic surgeons on new developments in the understanding of buprenorphine as a pain reliever and share evidence-based practice guidelines for buprenorphine management. For patients on buprenorphine for opioid use disorder or chronic pain, the updated recommendation is to continue their home dose of buprenorphine through the perioperative period. The patient's buprenorphine prescriber should be contacted and notified of any impending surgery. The continuation of buprenorphine should be accompanied by a multimodal approach to analgesia, including a preoperative discussion about expectations of pain and pain control, regional anesthesia, standing acetaminophen, Nonsteroidal anti-inflammatory drugs when possible, gabapentinoids at night for patients under 65 years, cryotherapy, elevation, and early mobilization. Patients can also be prescribed short-acting, immediate-release opioids for breakthrough pain. Transdermal buprenorphine is emerging as an excellent option for the management of acute perioperative pain in both elective and nonelective orthopaedic patients. A single patch can provide a steady dose of pain medication for up to 1 week during the postoperative period. A patch delivery method can help combat patient nonadherence and ultimately provide better overall pain control. In the future, transdermal buprenorphine patches could be applied in virtually all fracture surgery, spinal surgery, total joint arthroplasty, ligament reconstructions with bony drilling, etc. As the stigma surrounding buprenorphine decreases, further opportunities for perioperative use may develop.

Patterns of gabapentinoid use among long-term opioid users

OBJECTIVE

Understanding the clinical and demographic profile of patients on gabapentinoids can highlight areas of prescribing disparities, inform clinical practice, and guide future research to optimize effectiveness and safety of gabapentinoids for pain management. We used a national sample of Medicare beneficiaries to examine trends, patterns, and patient-level predictors of gabapentinoid use among long-term opioid users.

METHODS

Using a national Medicare sample between 2014 and 2020, we examined factors associated with gabapentinoid use among long-term opioid users. We included Medicare eligible long-term opioid users with no prior gabapentinoid use. The primary outcome was gabapentinoid use after the long-term opioid use episode. Logistic regression was used to test the association with gabapentinoid use for year, age, sex, race/ethnicity, region, Medicare entitlement, low-income status, frailty, pain locations, anxiety, depression, opioid use disorder, and opioid morphine milligrams equivalent.

RESULTS

Gabapentinoid use among long-term opioid users increased from 12.6% in 2014 to 16.8% in 2019 (p < .0001). Factors associated with increased gabapentinoid use were Hispanic ethnicity, back pain, nerve pain, and moderate or high opioid usage. Factors associated with decreased gabapentinoid use were older age and Medicare entitlement due to old age.

CONCLUSIONS

Variation of gabapentinoid use by socio-demographics and insurance status indicates opportunities to improve pain management and a need for shared therapeutic decision making informed by discussion between pain patients and providers regarding safety and effectiveness of pain therapies. Our findings underscore the need for future research into the comparative effectiveness and safety of gabapentinoids for non-cancer chronic pain in various subpopulations.

Association between Opioid-Benzodiazepine Trajectories and Injurious Fall Risk among US Medicare Beneficiaries

Background/Objectives: Concurrent opioid (OPI) and benzodiazepine (BZD) use may exacerbate injurious fall risk (e.g., falls and fractures) compared to no use or use alone. Yet, patients may need concurrent OPI-BZD use for co-occurring conditions (e.g., pain and anxiety). Therefore, we examined the association between longitudinal OPI-BZD dosing patterns and subsequent injurious fall risk. Methods: We conducted a retrospective cohort study including non-cancer fee-for-service Medicare beneficiaries initiating OPI and/or BZD in 2016-2018. We identified OPI-BZD use patterns during the 3 months following OPI and/or BZD initiation (i.e., trajectory period) using group-based multi-trajectory models. We estimated the time to first injurious falls within the 3-month post-trajectory period using inverse-probability-of-treatment-weighted Cox proportional hazards models. Results: Among 622,588 beneficiaries (age ≥ 65 = 84.6%, female = 58.1%, White = 82.7%; having injurious falls = 0.45%), we identified 13 distinct OPI-BZD trajectories: Group (A): Very-low OPI-only (early discontinuation) (44.9% of the cohort); (B): Low OPI-only (rapid decline) (15.1%); (C): Very-low OPI-only (late discontinuation) (7.7%); (D): Low OPI-only (gradual decline) (4.0%); (E): Moderate OPI-only (rapid decline) (2.3%); (F): Very-low BZD-only (late discontinuation) (11.5%); (G): Low BZD-only (rapid decline) (4.5%); (H): Low BZD-only (stable) (3.1%); (I): Moderate BZD-only (gradual decline) (2.1%); (J): Very-low OPI (rapid decline)/Very-low BZD (late discontinuation) (2.9%); (K): Very-low OPI (rapid decline)/Very-low BZD (increasing) (0.9%); (L): Very-low OPI (stable)/Low BZD (stable) (0.6%); and (M): Low OPI (gradual decline)/Low BZD (gradual decline) (0.6%). Compared with Group (A), six trajectories had an increased 3-month injurious falls risk: (C): HR = 1.78, 95% CI = 1.58-2.01; (D): HR = 2.24, 95% CI = 1.93-2.59; (E): HR = 2.60, 95% CI = 2.18-3.09; (H): HR = 2.02, 95% CI = 1.70-2.40; (L): HR = 2.73, 95% CI = 1.98-3.76; and (M): HR = 1.96, 95% CI = 1.32-2.91. Conclusions: Our findings suggest that 3-month injurious fall risk varied across OPI-BZD trajectories, highlighting the importance of considering both dose and duration when assessing injurious fall risk of OPI-BZD use among older adults.

Opioid Prescribing by Emergency Physicians: Trends Study of Medicare Part D Prescriber Data 2013-2019

BACKGROUND

Emergency physicians play a critical role in mitigating the opioid epidemic in public health.

OBJECTIVES

To analyze the prescribing of emergency physicians for opioids among Medicare beneficiaries enrolled in the Part D program from 2013 to 2019.

METHODS

We conducted a retrospective, cross-sectional, descriptive analysis of Medicare Part D prescriber data, focusing on opioid claims between 2013 and 2019. The primary outcome variables evaluated included proportion of opioid claims, trends of the most prescribed opioids, cost of opioid claims, and days' supply per claim.

RESULTS

A total of 63,586 emergency physicians were identified over the study period. Opioid prescription by emergency physicians decreased from 14.45% to 11.55%, and the cost spent on opioid drugs declined by 50%. The use of drugs such as hydrocodone-acetaminophen and oxycodone-acetaminophen declined substantially, whereas tramadol and acetaminophen-codeine prescription increased. The opioid prescribing rate and days' supply also decreased.

CONCLUSIONS

The decline in traditional opioid agents such as hydrocodone-acetaminophen was partly offset by an increase in opioids like tramadol, which carry additional potential adverse events. Opioid prescribing rate, average days' supply, and cost of opioid drugs significantly decreased from 2015 to 2019, after a spike in 2015. All regions observed a decrease in emergency physicians, but opioid prescribing rates varied across regions. These trends highlight successful opioid stewardship practices in some areas and the need for further development in others. This information can aid in designing tailored guidelines and policies for emergency physicians to promote effective opioid stewardship practices.

Development of prescribing indicators related to opioid-related harm in patients with chronic pain in primary care-a modified e-Delphi study

BACKGROUND

Long-term opioid use is associated with dependency, addiction, and serious adverse events. Although a framework to reduce inappropriate opioid prescribing exists, there is no consensus on prescribing indicators for preventable opioid-related problems in patients with chronic pain in primary care in the UK. This study aimed to identify opioid prescription scenarios for developing indicators for prescribing opioids to patients with chronic pain in primary care.

METHODS

Scenarios of opioid prescribing indicators were identified from a literature review, guidelines, and government reports. Twenty-one indicators were identified and presented in various opioid scenarios concerning opioid-related harm and adverse effects, drug-drug interactions, and drug-disease interactions in certain disease conditions. After receiving ethics approval, two rounds of electronic Delphi panel technique surveys were conducted with 24 expert panellists from the UK (clinicians, pharmacists, and independent prescribers) from August 2020 to February 2021. Each indicator was rated on a 1-9 scale from inappropriate to appropriate. The score's median, 30th and 70th percentiles, and disagreement index were calculated.

RESULTS

The panel unanimously agreed that 15 out of the 21 opioid prescribing scenarios were inappropriate, primarily due to their potential for causing harm to patients. This consensus was reflected in the low appropriateness scores (median ranging from 1 to 3). There were no scenarios with a high consensus that prescribing was appropriate. The indicators were considered inappropriate due to drug-disease interactions (n = 8), drug-drug interactions (n = 2), adverse effects (n = 3), and prescribed dose and duration (n = 2). Examples included prescribing opioids during pregnancy, concurrently with benzodiazepines, long-term without a laxative prescription and prescribing > 120-mg morphine milligram equivalent per day or long-term duration over 3 months after surgery.

CONCLUSIONS

The high agreement on opioid prescribing indicators indicates that these potentially hazardous consequences are relevant and concerning to healthcare practitioners. Future research is needed to evaluate the feasibility and implementation of these indicators within primary care settings. This research will provide valuable insights and evidence to support opioid prescribing and deprescribing strategies. Moreover, the findings will be crucial in informing primary care practitioners and shaping quality outcome frameworks and other initiatives to enhance the safety and quality of care in primary care settings.

Association between self-reported pain severity and characteristics of United States adults (age ≥50 years) who used opioids

OBJECTIVE

The aim of this study was to assess the associations between the characteristics of United States (US) adults (≥50 years) who used opioids and self-reported pain severity using a nationally representative dataset.

METHODS

This retrospective cross-sectional database study used 2019 Medical Expenditure Panel Survey data to identify US adults aged ≥50 years with self-reported pain within the past 4 weeks and ≥1 opioid prescription within the calendar year (n = 1,077). Weighted multivariable logistic regression analysis modeled associations between various characteristics and self-reported pain severity (quite a bit/extreme vs less/moderate pain).

RESULTS

The adjusted logistic regression model indicated that greater odds of reporting quite a bit/extreme pain was associated with the following: age 50-64 vs ≥65 (adjusted odds ratio [AOR] = 1.76; 95% confidence interval [CI] = 1.22-2.54), non-Hispanic vs Hispanic (AOR = 2.0; CI = 1.18-3.39), unemployed vs employed (AOR = 2.01; CI = 1.33-3.05), no health insurance vs private insurance (AOR = 6.80; CI = 1.43-32.26), fair/poor vs excellent/very good/good health (AOR = 3.10; CI = 2.19-4.39), fair/poor vs excellent/very good/good mental health (AOR = 2.16; CI = 1.39-3.38), non-smoker vs smoker (AOR = 1.80; CI = 1.19-2.71), and instrumental activity of daily living, yes vs no (AOR = 2.27; CI = 1.30-3.96).

CONCLUSION

Understanding the several characteristics associated with pain severity in US adults ≥50 years who used an opioid may help transform healthcare approaches to prevention, education, and management of pain severity in later life.

A pilot study to identify pharmacogenomic and clinical risk factors associated with opioid related falls and adverse effects in older adults

Given the high prevalence of pain in older adults and current trends in opioid prescribing, inclusion of genetic information in risk prediction tools may improve opioid risk assessment. Our objectives were to (1) determine the feasibility of recruiting socioeconomically disadvantaged and racially diverse middle aged and older adult populations for a study seeking to identify risk factors for opioid-related falls and other serious adverse effects and (2) explore potential associations between the Risk Index for Overdose or Serious Opioid-induced Respiratory Depression (CIP-RIOSORD) risk class and other patient factors with falls and serious opioid adverse effects. This was an observational study of 44 participants discharged home from the emergency department with an opioid prescription for acute pain and followed for 30 days. We found pain interference may predict opioid-related falls or serious adverse effects within older, opioid-treated patients. If validated, pain interference may prove to be a beneficial marker for risk stratification of older adults initiated on opioids for acute pain.

"Take up to eight tablets per day": Incorporating free-text medication instructions into a transparent and reproducible process for preparing drug exposure data for pharmacoepidemiology

PURPOSE

Routinely collected prescription data provides drug exposure information for pharmacoepidemiology, informing start/stop dates and dosage. Prescribing information includes structured data and unstructured free-text instructions, which can include inherent variability, such as "one to two tablets up to four times a day". Preparing drug exposure data from raw prescriptions to a research ready dataset is rarely fully reported, yet assumptions have considerable implications for pharmacoepidemiology. This may have bigger consequences for "pro re nata" (PRN) drugs. Our aim was, using a worked example of opioids and fracture risk, to examine the impact of incorporating narrative prescribing instructions and subsequent drug preparation assumptions on adverse event rates.

METHODS

R-packages for extracting free-text medication prescription instructions in a structured form (doseminer) and an algorithm for transparently processing drug exposure information (drugprepr) were developed. Clinical Practice Research Datalink GOLD was used to define a cohort of adult new opioid users without prior cancer. A retrospective cohort study was performed using data between January 1, 2017 and July 31, 2018. We tested the impact of varying drug preparation assumptions by estimating the risk of opioids on fracture risk using Cox proportional hazards models.

RESULTS

During the study window, 60 394 patients were identified with 190 754 opioid prescriptions. Free-text prescribing instruction variability, where there was flexibility in the number of tablets to be administered, was present in 42% prescriptions. Variations in the decisions made during preparing raw data for analysis led to marked differences impacting the event number (n = 303-415) and person years of drug exposure (5619-9832). The distribution of hazard ratios as a function of the decisions ranged from 2.71 (95% CI: 2.31, 3.18) to 3.24 (2.76, 3.82).

CONCLUSIONS

Assumptions made during the drug preparation process, especially for those with variability in prescription instructions, can impact results of subsequent risk estimates. The developed R packages can improve transparency related to drug preparation assumptions, in line with best practice advocated by international pharmacoepidemiology guidelines.

Interprofessional Active Learning for Chronic Pain: Transforming Student Learning From Recall to Application

Chronic pain (CP) affects over 50 million Americans daily and represents a unique challenge for healthcare professionals due to its complexity. Across all health professions, only a small percentage of the curriculum is devoted to treating patients with CP. Unfortunately, much of the content is delivered passively via lecture without giving students an opportunity to practice the communication skills to effectively treat patients in the clinic. An interprofessional team of health educators identified 5 essential messages that students frequently struggle to convey to patients with CP. Those messages were based on interprofessional and profession-specific competencies to treat patients with CP from the International Association for the Study of Pain. The 5 messages highlighted the importance of (1) therapeutic alliance, (2) consistent interdisciplinary language, (3) patient prognosis, (4) evidence for pain medicine, surgery, and imaging, and (5) early referral to the interprofessional team. For each message, the team summarized relevant research supporting the importance of each individual message that could serve as a foundation for didactic content. The team then developed active learning educational activities that educators could use to have students practice the skills tied to each message. Each learning activity was designed to be delivered in an interprofessional manner.

Predicting Chronic Opioid Use Among Patients With Osteoarthritis Using Electronic Health Record Data

OBJECTIVE

To estimate the risk of a patient with osteoarthritis (OA) developing chronic opioid use (COU) within 1 year of a new opioid prescription by using electronic health record (EHR) data and predictive models.

METHODS

We used EHR data from 13 health care organizations to identify patients with OA with an opioid prescription between March 1, 2017 and February 28, 2019 and no record of opioid use in the prior 6 months. We evaluated 4 machine learning models to estimate patients' risk of COU (≥3 prescriptions ≥84 days, maximum gap ≤60 days). We also estimated the transportability of models to organizations outside the training set.

RESULTS

The cohort consisted of 33,894 patients with OA, of whom 2,925 (8.6%) developed COU within 1 year. All models demonstrated good discrimination, with the best-performing model (random forest) achieving an area under the receiver operating characteristic curve (AUC) of 0.728 (95% CI 0.711-0.745), but the simplest regression model performed nearly as well (AUC 0.717 [95% CI 0.699-0.734]). Predicted risk deciles spanned a range of 2% risk for the 10th percentile to 18% risk for the 90th percentile for well-calibrated models. Models showed highly variable discrimination across organizations (AUC 0.571-0.842).

CONCLUSIONS

We found that EHR-based predictive models could estimate the risk of future COU among patients with OA to help inform care decisions. Black-box methods did not have significant advantages over more interpretable models. Care should be taken when extending all models into organizations not included in model training because of a high variability in performance across held-out organizations.

Association of injury after prescription opioid initiation with risk for opioid-related adverse events among older Medicare beneficiaries in the United States: A nested case-control study

BACKGROUND

Injury, prevalent and potentially associated with prescription opioid use among older adults, has been implicated as a warning sign of serious opioid-related adverse events (ORAEs) including opioid misuse, dependence, and poisoning, but this association has not been empirically tested. The study aims to examine the association between incident injury after prescription opioid initiation and subsequent risk of ORAEs and to assess whether the association differs by recency of injury among older patients.

METHODS AND FINDINGS

This nested case-control study was conducted within a cohort of 126,752 individuals aged 65 years or older selected from a 5% sample of Medicare beneficiaries in the United States between 2011 and 2018. Cohort participants were newly prescribed opioid users with chronic noncancer pain who had no injury or ORAEs in the year before opioid initiation, had 30 days or more of observation, and had at least 1 additional opioid prescription dispensed during follow-up. We identified ORAE cases as patients who had an inpatient or outpatient encounter with diagnosis codes for opioid misuse, dependence, or poisoning. During a mean follow-up of 1.8 years, we identified 2,734 patients who were newly diagnosed with ORAEs and 10,936 controls matched on the year of cohort entry date and a disease risk score (DRS), a summary score derived from the probability of an ORAE outcome based on covariates measured prior to cohort entry and in the absence of injury. Multivariate conditional logistic regression was used to estimate ORAE risk associated with any and recency of injury, defined based on the primary diagnosis code of inpatient and outpatient encounters. Among the cases and controls, 68.0% (n = 1,859 for cases and n = 7,436 for controls) were women and the mean (SD) age was 74.5 (6.9) years. Overall, 54.0% (n = 1,475) of cases and 46.0% (n = 1,259) of controls experienced incident injury after opioid initiation. Patients with (versus without) injury after opioid therapy had higher risk of ORAEs after adjustment for time-varying confounders, including diagnosis of tobacco or alcohol use disorder, drug use disorder, chronic pain diagnosis, mental health disorder, pain-related comorbidities, frailty index, emergency department visit, skilled nursing facility stay, anticonvulsant use, and patterns of prescription opioid use (adjusted odds ratio [aOR] = 1.4; 95% confidence interval (CI) 1.2 to 1.5; P < 0.001). Increased risk of ORAEs was associated with current (≤30 days) injury (aOR = 2.8; 95% CI 2.3 to 3.4; P < 0.001), whereas risk of ORAEs was not significantly associated with recent (31 to 90 days; aOR = 0.93; 95% CI 0.73 to 1.17; P = 0.48), past (91 to 180 days; aOR = 1.08; 95% CI 0.88 to 1.33; P = 0.51), and remote (181 to 365 days; aOR = 0.88; 95% CI 0.73 to 1.1; P = 0.18) injury preceding the incident diagnosis of ORAE or matched date. Patients with injury and prescription opioid use versus those with neither in the month before the ORAE or matched date were at greater risk of ORAEs (aOR = 5.0; 95% CI 4.1 to 6.1; P < 0.001). Major limitations are that the study findings can only be generalized to older Medicare fee-for-service beneficiaries and that unknown or unmeasured confounders have the potential to bias the observed association toward or away from the null.

CONCLUSIONS

In this study, we observed that incident diagnosis of injury following opioid initiation was associated with subsequent increased risk of ORAEs, and the risk was only significant among patients with injury in the month before the index date. Regular monitoring for injury may help identify older opioid users at high risk for ORAEs.

Implant-related complications in patients with opioid use disorder undergoing primary shoulder arthroplasties: a matched-controlled analysis

BACKGROUND

The purpose of this study was to investigate whether patients undergoing primary shoulder arthroplasty with opioid use disorder have higher rates of (1) implant-related complications; (2) in-hospital lengths of stay; (3) readmission rates; and (4) costs of care.

METHODS

Opioid use disorder patients undergoing primary shoulder arthroplasty were queried and matched in a 1:5 ratio to controls by age, sex, and medical comorbidities within the Medicare database. The query yielded 25,489 patients with (n = 4253) and without (n = 21,236) opioid use disorder. Primary outcomes analyzed included: 2-year implant related complications, in-hospital lengths of stay, 90-day readmission rates, and 90-day costs of care. A p value less than 0.01 was considered statistically significant.

RESULTS

Opioid use disorder patients had significantly longer in-hospital lengths of stay (3 days vs. 2 days; p < 0.0001) compared to matched controls. Opioid use disorder patients were also found to have higher incidence and odds (OR) of readmission rates (12.84 vs. 7.45%; OR: 1.16, p < 0.0001) and implant-related complications (20.03 vs. 7.95%; OR: 1.82, p < 0.0001). Study group patients also incurred significantly higher 90-day costs of care ($16,918.85 vs. $15,195.37, p < 0.0001).

DISCUSSION

This study can be used to help further augment efforts to reduce opioid prescriptions from healthcare providers in shoulder arthroplasty settings.

Prevalence and treatment of neuropathic pain diagnoses among U.S. nursing home residents

ABSTRACT

Neuropathic pain is a common condition experienced by older adults. Prevalence estimates of neuropathic pain and descriptive data of pharmacologic management among nursing home residents are unavailable. We estimated the prevalence of neuropathic pain diagnoses and described the use of pain medications among nursing home residents with possible neuropathic pain. Using the Minimum Data Set 3.0 linked to Medicare claims for residents living in a nursing home on November 30, 2016, we included 473,815 residents. ICD-10 codes were used to identify neuropathic pain diagnoses. Identification of prescription analgesics/adjuvants was based on claims for the supply of medications that overlapped with the index date over a 3-month look-back period. The prevalence of neuropathic pain was 14.6%. Among those with neuropathic pain, 19.7% had diabetic neuropathy, 27.3% had back and neck pain with neuropathic involvement, and 25.1% had hereditary or idiopathic neuropathy. Among residents with neuropathic pain, 49.9% received anticonvulsants, 28.6% received antidepressants, 19.0% received opioids, and 28.2% had no claims for analgesics or adjuvants. Resident characteristics associated with lack of medications included advanced age, dependency in activities of daily living, cognitive impairment, and diagnoses of comorbid conditions. A diagnosis of neuropathic pain is common among nursing home residents, yet many lack pharmacologic treatment for their pain. Future epidemiologic studies can help develop a more standard approach to identifying and managing neuropathic pain among nursing home residents.

Prevalence of Chronic Opioid Use in the Elderly After Hip Fracture Surgery

BACKGROUND

While interest has focused on opioid use after total hip arthroplasty, little research has investigated opioid use in elderly patients after hip fracture. We hypothesize that a substantial number of opioid-naïve elderly patients go on to chronic opioid use after hip fracture surgery.

METHODS

We reviewed a consecutive series of 219 patients 65 years and older who underwent surgical fixation between January 1, 2016 and February 28, 2019 for a native hip fracture. Patients were excluded for polytrauma, periprosthetic or pathologic fractures, recent major surgery, or death within 90 days of their hip surgery. The state prescription monitoring database was used to determine opioid use.

RESULTS

Overall, 58 patients (26%) were postoperative chronic opioid users. Of the initial 188 opioid-naïve patients, 43 (23%) became chronic users. Of the 31 preoperative opioid users, 15 (48%) continued as chronic users. Chronic postoperative users were more likely to be White (76% vs 91%, P = .04), younger (78 vs 82 years, P = .003), and preoperative opioid users (odds ratio 3.3, P = .007). Arthroplasty vs fixation did not affect the rate of chronic opioid use (P = .22).

CONCLUSION

Chronic opioid use is surprisingly common after hip fracture repair in the elderly. Twenty-three percent of opioid-naïve hip fracture patients became chronic users after surgery. Continued vigilance is needed by orthopedic surgeons to limit the amount and duration of postoperative narcotic prescriptions and to monitor for continued use.

Less Well-Known Consequences of the Long-Term Use of Opioid Analgesics: A Comprehensive Literature Review

BACKGROUND

The adverse effects of short-term opioid analgesics are well known and acknowledged; however, the spectrum of the sequelae of long-term use seems less clear. Some effects may remain undetected but still have the potential to cause harm and reduce patients' quality of life.

OBJECTIVE

To review the literature on the adverse effects of long-term opioid therapy.

METHODS

We performed a quasi-systematic search, analyzing articles published in the MEDLINE database between January 2000 and March 2021 that identified adverse effects of opioids used for chronic pain treatment.

RESULTS

Growing evidence indicates that there are multiple serious adverse effects of opioid treatment. Long-term opioid use may have significant effects on the endocrine, immune, cardiovascular, respiratory, gastrointestinal, and neural systems. Studies show that long-term opioid treatment increases the risk of fractures, infections, cardiovascular complications, sleep-disordered breathing, bowel dysfunction, overdose, and mortality. Opioids may potentially affect cancer development. Most consequences of the long-term use of opioids have been identified in studies of patients with non-malignant pain.

CONCLUSION

Studies indicate that long-term use of opioids increases the risk of drug-related events in a significant number of patients. Clinicians should be aware of these complications associated with prescribing opioids, discuss them with patients, prevent complications, if possible, and diagnose them early and manage adequately. More human studies are needed to assess the risk, including trials with individual opioids, because they have different adverse effect profiles.

Concurrent use of prescription gabapentinoids with opioids and risk for fall-related injury among older US Medicare beneficiaries with chronic noncancer pain: A population-based cohort study

BACKGROUND

Gabapentinoids are increasingly prescribed to manage chronic noncancer pain (CNCP) in older adults. When used concurrently with opioids, gabapentinoids may potentiate central nervous system (CNS) depression and increase the risks for fall. We aimed to investigate whether concurrent use of gabapentinoids with opioids compared with use of opioids alone is associated with an increased risk of fall-related injury among older adults with CNCP.

METHODS AND FINDINGS

We conducted a population-based cohort study using a 5% national sample of Medicare beneficiaries in the United States between 2011 and 2018. Study sample consisted of fee-for-service (FFS) beneficiaries aged ≥65 years with CNCP diagnosis who initiated opioids. We identified concurrent users with gabapentinoids and opioids days' supply overlapping for ≥1 day and designated first day of concurrency as the index date. We created 2 cohorts based on whether concurrent users initiated gabapentinoids on the day of opioid initiation (Cohort 1) or after opioid initiation (Cohort 2). Each concurrent user was matched to up to 4 opioid-only users on opioid initiation date and index date using risk set sampling. We followed patients from index date to first fall-related injury event ascertained using a validated claims-based algorithm, treatment discontinuation or switching, death, Medicare disenrollment, hospitalization or nursing home admission, or end of study, whichever occurred first. In each cohort, we used propensity score (PS) weighted Cox models to estimate the adjusted hazard ratios (aHRs) with 95% confidence intervals (CIs) of fall-related injury, adjusting for year of the index date, sociodemographics, types of chronic pain, comorbidities, frailty, polypharmacy, healthcare utilization, use of nonopioid medications, and opioid use on and before the index date. We identified 6,733 concurrent users and 27,092 matched opioid-only users in Cohort 1 and 5,709 concurrent users and 22,388 matched opioid-only users in Cohort 2. The incidence rate of fall-related injury was 24.5 per 100 person-years during follow-up (median, 9 days; interquartile range [IQR], 5 to 18 days) in Cohort 1 and was 18.0 per 100 person-years during follow-up (median, 9 days; IQR, 4 to 22 days) in Cohort 2. Concurrent users had similar risk of fall-related injury as opioid-only users in Cohort 1(aHR = 0.97, 95% CI 0.71 to 1.34, p = 0.874), but had higher risk for fall-related injury than opioid-only users in Cohort 2 (aHR = 1.69, 95% CI 1.17 to 2.44, p = 0.005). Limitations of this study included confounding due to unmeasured factors, unavailable information on gabapentinoids' indication, potential misclassification, and limited generalizability beyond older adults insured by Medicare FFS program.

CONCLUSIONS

In this sample of older Medicare beneficiaries with CNCP, initiating gabapentinoids and opioids simultaneously compared with initiating opioids only was not significantly associated with risk for fall-related injury. However, addition of gabapentinoids to an existing opioid regimen was associated with increased risks for fall. Mechanisms for the observed excess risk, whether pharmacological or because of channeling of combination therapy to high-risk patients, require further investigation. Clinicians should consider the risk-benefit of combination therapy when prescribing gabapentinoids concurrently with opioids.

Opioids and Falls Risk in Older Adults: A Narrative Review

Pain treatment is important in older adults but may result in adverse events such as falls. Opioids are effective for nociceptive pain but the evidence for neuropathic pain is weak. Nevertheless, both pain and opioids may increase the risk of falls. This narrative literature review aims to summarize the existing knowledge on the opioid-related fall risk in older adults, including the pharmacokinetics and pharmacodynamics, and assist clinicians in prescribing and deprescribing opioids in older persons. We systematically searched relevant literature on opioid-related fall risk in older adults in PubMed and Scopus in December 2020. We reviewed the literature and evaluated fall-related adverse effects of opioids, explaining how to optimally approach deprescribing of opioids in older adults. Opioid use increases fall risk through drowsiness, (orthostatic) hypotension and also through hyponatremia caused by weak opioids. When prescribing, opioids should be started with low dosages if possible, keeping in mind their metabolic genetic variation. Falls are clinically significant adverse effects of all opioids, and the risk may be dose dependent and highest with strong opioids. The risk is most prominent in older adults prone to falls. To reduce the risk of falls, both pain and the need for opioids should be assessed on a regular basis, and deprescribing or changing to a lower dosage or safer alternative should be considered if the clinical condition allows. Deprescribing should be done by reducing the dosage gradually and by assessing and monitoring the pain and withdrawal symptoms at the same time. Weighing the risks and benefits is necessary before prescribing opioids, especially to older persons at high risk of falls. Clinical decision tools assist prescribers in clinical decisions regarding (de-) prescribing.

Healthcare resource utilisation and cost analysis associated with opioid analgesic use for non-cancer pain: A case-control, retrospective study between 2005 and 2015

Objective

To examine differences in healthcare utilisation and costs associated with opioid prescriptions for non-cancer pain issued in primary care.

Method

A longitudinal, case-control study retrospectively examined Welsh healthcare data for the period 1 January 2005–31 December 2015. Data were extracted from the Secure Anonymised Information Linkage (SAIL) databank. Subjects, aged 18 years and over, were included if their primary care record contained at least one of six overarching pain diagnoses during the study period. Subjects were excluded if their record also contained a cancer diagnosis in that time or the year prior to the study period. Case subjects also received at least one prescription for an opioid analgesic. Controls were matched by gender, age, pain-diagnosis and socioeconomic deprivation. Healthcare use included primary care visits, emergency department (ED) and outpatient (OPD) attendances, inpatient (IP) admissions and length of stay. Cost analysis for healthcare utilisation used nationally derived unit costs for 2015. Differences between case and control subjects for resource use and costs were analysed and further stratified by gender, prescribing persistence (PP) and deprivation.

Results

Data from 3,286,215 individuals were examined with 657,243 receiving opioids. Case subjects averaged 5 times more primary care visits, 2.8 times more OPD attendances, 3 times more ED visits and twice as many IN admissions as controls. Prescription persistence over 6 months and greater deprivation were associated with significantly greater utilisation of healthcare resources. Opioid prescribing was associated with 69% greater average healthcare costs than in control subjects. National Health Service (NHS) healthcare service costs for people with common, pain-associated diagnoses, receiving opioid analgesics were estimated to be £0.9billion per year between 2005 and 2015.

Conclusion

Receipt of opioid prescriptions was associated with significantly greater healthcare utilisation and accompanying costs in all sectors. Extended prescribing durations are particularly important to address and should be considered at the point of initiation.

Opiates Possibly Boosted Human Civilization

: Testosterone is a fundamental biological drive for human survival. Evidence documents an association between the evolutionary suppression of testosterone and the civilization processes, especially their socialization and family colonization abilities, among early humans. Interestingly, opiates suppress testosterone as a side effect. However, in clinical practice, clients undergoing opioid substitution therapy have subnormal, normal, or even above-normal testosterone. This paper discusses a possibility indicating that opiates promoted civilization processes among early humans. We further suggest that modern humans might have inherited the positive impact of opiates on early humans as a biological propensity for using opioids. Some users may use opioids for self-medication to decrease their extraordinarily high testosterone levels.

Understanding differences in prescription drug misuse between two Texas border communities

Objectives: The misuse of prescription drugs in the U.S. is an alarming public health crisis. Prior research at the U.S.-Mexico border has found high rates of prescription drug misuse, but with rates varying significantly across border communities. We aimed to examine a model of permissive climate measures and stress exposures as potential mediators of community differences in prescription drug misuse at the U.S.-Mexico border.Design: We analyzed data from the U.S.-Mexico Study of Alcohol and Related Conditions (UMSARC). Household, in-person interviews were conducted with Mexican-origin residents of the Texas border cities Laredo (n = 751) and Brownsville/McAllen (n = 814). Interviews assessed past-year misuse of any and pain-reliever prescription drugs. Drug availability, neighborhood safety, exposure to violence/crime, and social support were examined as potential mediators. Analyses were stratified by gender and employed regressions and mediation analysis with Mplus.Results: The past-year prevalence of any prescription drug misuse in Laredo was 26.3% among women and 24.4% among men, and in Brownsville/McAllen was 12.4% among men, and 6.7% among women. Mediation analysis revealed site effects via some of the hypothesized risk factors for men, but not for women. Specifically, for men, site effects on any and pain reliever prescription drug misuse were partially mediated via high drug availability and low family support.Conclusions: Past-year prescription drug misuse was over 3 times the 2015 national prevalence among both men and women in Laredo and calls for immediate attention. Findings regarding the model suggest drug availability and social support may be relevant to understanding community differences in prescription drug misuse among men living at the border, and that additional factors should be investigated to understand misuse among women living at the border.

Brief Report: Are Serious Falls Associated With Subsequent Fragility Fractures Among Veterans Living With HIV?

BACKGROUND

The extensive research on falls and fragility fractures among persons living with HIV (PWH) has not explored the association between serious falls and subsequent fragility fracture. We explored this association.

SETTING

Veterans Aging Cohort Study.

METHODS

This analysis included 304,951 6-month person- intervals over a 15-year period (2001-2015) contributed by 26,373 PWH who were 50+ years of age (mean age 55 years) and taking antiretroviral therapy (ART). Serious falls (those falls significant enough to result in a visit to a health care provider) were identified by the external cause of injury codes and a machine learning algorithm applied to radiology reports. Fragility fractures were identified using ICD9 codes and included hip fracture, vertebral fractures, and upper arm fracture and were modeled with multivariable logistic regression with generalized estimating equations.

RESULTS

After adjustment, serious falls in the previous year were associated with increased risk of fragility fracture [odds ratio (OR) 2.10; 95% confidence interval (CI): 1.83 to 2.41]. The use of integrase inhibitors was the only ART risk factor (OR 1.17; 95% CI: 1.03 to 1.33). Other risk factors included the diagnosis of alcohol use disorder (OR 1.49; 95% CI: 1.31 to 1.70) and having a prescription for an opioid in the previous 6 months (OR 1.40; 95% CI: 1.27 to 1.53).

CONCLUSIONS

Serious falls within the past year are strongly associated with fragility fractures among PWH on ART-largely a middle-aged population-much as they are among older adults in the general population.

Effects of Prescription Opioid Use on Traumatic Brain Injury Risk in Older Adults

OBJECTIVE

The objective of this study was to estimate the risk of traumatic brain injury (TBI) associated with opioid use among older adult Medicare beneficiaries.

SETTING

Five percent sample of Medicare administrative claims obtained for years 2011-2015.

PARTICIPANTS

A total of 50 873 community-dwelling beneficiaries 65 years and older who sustained TBI.

DESIGN

Case-crossover study comparing opioid use in the 7 days prior to TBI with the control periods of 3, 6, and 9 months prior to TBI.

MAIN MEASURES

TBI cases were identified using ICD-9 (International Classification of Diseases, Ninth Revision) and ICD-10 (International Classification of Diseases, Tenth Revision) codes. Prescription opioid exposure and concomitant nonopioid fall risk-increasing drug (FRID) use were determined by examining the prescription drug event file.

RESULTS

The 8257 opioid users (16.2%) were significantly younger (mean age 79.0 vs 80.8 years, P < .001). Relative to nonusers, opioid users were more likely to be women (77.0% vs 70.0%, P < .001) with a Charlson Comorbidity Index of 2 or more (43.7% vs 30.9%, P < .001) and higher concomitant FRID use (94.0% vs 82.7%, P < .001). Prescription opioid use independently increased the risk of TBI compared with nonusers (OR = 1.34; 95% CI, 1.28-1.40). In direct comparisons, we did not observe evidence of a significant difference in adjusted TBI risk between high- (≥90 morphine milligram equivalents) and standard-dose opioid prescriptions (OR = 1.01; 95% CI, 0.90-1.14) or between acute and chronic (≥90 days) opioid prescriptions (OR = 0.93; 95% CI, 0.84-1.02).

CONCLUSIONS

Among older adult Medicare beneficiaries, prescription opioid use independently increased risk for TBI compared with nonusers after adjusting for concomitant FRID use. We found no significant difference in adjusted TBI risk between high-dose and standard-dose opioid use, nor did we find a significant difference in adjusted TBI risk between acute and chronic opioid use. This analysis can inform prescribing of opioids to community-dwelling older adults for pain management.

Opioids and the Risk of Fracture: A Self-Controlled Case Series Study in the Clinical Practice Research Datalink

Self-controlled study designs can be used to assess the association between exposures and acute outcomes while controlling for important confounders. Using routinely collected health data, a self-controlled case series design was used to investigate the association between opioid use and bone fractures in 2008–2017 among adults registered in the United Kingdom Clinical Practice Research Datalink. The relative incidence of fracture was estimated, comparing periods when these adults were exposed and unexposed to opioids, adjusted for time-varying confounders. Of 539,369 people prescribed opioids, 67,622 sustained fractures and were included in this study. The risk of fracture was significantly increased when the patient was exposed to opioids, with an adjusted incidence rate ratio of 3.93 (95% confidence interval (CI): 3.82, 4.04). Fracture risk was greatest in the first week of starting opioid use (adjusted incidence rate ratio: 7.81, 95% CI: 7.40, 8.25) and declined with increasing duration of use. Restarting opioid use after a gap in exposure significantly increased fracture risk (adjusted incidence rate ratio: 5.05, 95% CI: 4.83, 5.29) when compared with nonuse. These findings highlight the importance of raising awareness of fractures among patients at opioid initiation and demonstrate the utility of self-controlled methods for pharmacoepidemiologic research.

Risk of Fractures in Older Adults with Chronic Non-cancer Pain Receiving Concurrent Benzodiazepines and Opioids: A Nested Case-Control Study

OBJECTIVE

The aim of this study was to investigate the relationship between the concurrent use of benzodiazepines and opioids and the risk of fractures in older patients with chronic non-cancer pain.

METHODS

Patients with osteoarthritis or low back pain (≥ 65 years of age) included in the Korean National Health Insurance Service-National Sample Cohort database of Korea and with an incident diagnosis of hip, humeral, or forearm fracture between 2011 and 2015 were identified as cases. For each case, four controls were matched for age (within 5 years), sex, and year of cohort entry. We estimated the adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for fractures associated with concurrent use of benzodiazepines and opioids using a conditional logistic regression analysis, adjusting for comorbidities and comedications.

RESULTS

The aOR (95% CI) for the concurrent use of benzodiazepines and opioids was 1.45 (1.22-1.71), compared with those of non-use within 30 days before the index date. The aOR was 1.65 (1.22-2.23) in patients who were continuously receiving benzodiazepines and were newly initiated with concurrent opioids. The aORs for concurrent use were 1.95 (1.39-2.74) and 1.27 (1.03-1.56) in the case of hip fracture and forearm fracture, respectively.

CONCLUSION

The concurrent use of benzodiazepines and opioids was associated with an increased risk of fractures in older patients with chronic non-cancer pain. Therefore, patients continuously receiving benzodiazepines in whom opioids are newly initiated need careful monitoring, and such combined therapy should be limited to the shortest duration possible.

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.

The Influence of Opioid Use Disorder on Open Reduction and Internal Fixation Following Ankle Fracture

BACKGROUND

Ankle fractures are common and may require open reduction and internal fixation (ORIF). Literature is scarce evaluating the associations of opioid use disorder (OUD) with ORIF postoperative outcomes. This study investigates whether OUD patients have increased (1) costs of care, (2) emergency room visits, and (3) readmission rates.

METHODS

ORIF patients with a 90-day history of OUD were identified using an administrative claims database. OUD patients were matched (1:4) to controls by age, sex, and medical comorbidities. The Welch t-test determined the significance of cost of care. Logistic regression yielded odds ratios (ORs) for emergency room visits and 90-day readmission rates.

RESULTS

A total of 2183 patients underwent ORIF (n = 485 with OUD vs n = 1698 without OUD). OUD patients incurred significantly higher costs of care compared with controls ($5921.59 vs $5128.22, P < .0001). OUD patients had a higher incidence and odds of emergency room visits compared with controls (3.50% vs 0.64%; OR = 5.57, 95% CI = 2.59-11.97, P < .0001). The 90-day readmission rates were not significantly different between patients with and without OUD (8.65% vs 7.30%; OR = 1.20, 95% CI = 0.83-1.73, P = .320).

CONCLUSION

OUD patients have greater costs of care and odds of emergency room visits within 90 days following ORIF.Levels of Evidence: Level III: Retrospective cohort study.

Associations between stroke type, stroke severity, and pre-stroke osteoporosis with the risk of post-stroke fracture: A nationwide population-based study

Background Recognizing the post-stroke fracture risk factors is crucial for targeted intervention and primary fracture prevention. We aimed to investigate whether stroke types, stroke severity, and pre-stroke osteoporosis are associated with post-stroke fracture. Methods In a nationwide cohort, we identified previously fracture-free patients who suffered from first-ever stroke, either acute ischemic stroke (AIS) or intracerebral hemorrhage (ICH), between 2003 and 2015. Information regarding stroke severity, osteoporosis, comorbidity, and medication information was collected. The outcomes analyzed included hip fracture, spine fracture, and other fractures. Cumulative incidence functions (CIFs) were used to estimate the cumulative incidence of fractures over time after accounting for competing risk of death. Multivariable Fine and Gray models were used to determine the adjusted hazard ratio (HR) and 95% confidence interval (CI). Results Of the 41,895 patients with stroke, the 5-year CIFs of any incident fracture, hip fracture, spine fracture, and other fractures were 8.03%, 3.42%, 1.87%, and 3.05%, respectively. The fracture risk did not differ between patients with AIS and ICH. While osteoporosis increased the risk of post-stroke fracture (adjusted HR [95% CI],1.42 [1.22-1.66]), stroke severity was inversely associated with post-stroke fracture (moderate, 0.88 [0.81-0.96] and severe, 0.39 [0.34-0.44], compared with mild stroke severity). Conclusions Stroke survivors had an over 8% fracture risk at 5 years after stroke. Mild stroke severity and osteoporosis were significantly associated with post-stroke fracture risk, whereas stroke type was not. Our results call for effective measures for bone health screening and fracture prevention in patients with stroke.

Late- and Typical-Onset Heroin Use Among Older Adults Seeking Treatment for Opioid Use Disorder

OBJECTIVE

Analyze 10-year trends in opioid use disorder with heroin (OUD-H) among older persons and to compare those with typical-onset (age <30 years) to those with late (age 30+) onset.

DESIGN

Naturalistic observation using the most recent (2008-2017) Treatment Episode Data Set-Admissions (TEDS-A).

SETTING

Admission records in TEDS-A come from all public and private U.S. programs for substance use disorder treatment receiving public funding.

PARTICIPANTS

U.S. adults aged 55 years and older entering treatment for the first time between 2008 and 2017 to treat OUD-H.

MEASUREMENTS

Admission trends, demographics, substance use history.

RESULTS

The number of older adults who entered treatment for OUD-H nearly tripled between 2007 and 2017. Compared to those with typical-onset (before age 30), those with late-onset heroin use were more likely to be white, female, more highly educated, and rural. Older adults with late-onset were more likely to be referred to treatment by an employer and less likely to be referred by the criminal justice system. Those with late-onset were more likely to use heroin more frequently but less likely to inject heroin than those with typical-onset. Those with typical onset were more likely to receive medication for addiction treatment than those with late-onset.

CONCLUSION

Late-onset heroin use is increasing among older U.S. adults. Research is needed to understand the unique needs of this population better. As this population grows, geriatric psychiatrists may be increasingly called upon to provide specialized care to people with late-onset OUD-H.

Glucocorticoid and opioid use in rheumatoid arthritis management

PURPOSE OF REVIEW

Glucocorticoids and opioids are longstanding, common treatments for rheumatoid arthritis (RA) symptoms. High-quality clinical trials have established that glucocorticoids improve outcomes in RA, but debate continues as to whether their benefits outweigh their risks. We reviewed recent studies on patterns of glucocorticoid and opioid prescribing in RA, and associated harms.

RECENT FINDINGS

At present, a large proportion of RA patients remain on glucocorticoids and/or opioids long-term. Likelihood and risk of both glucocorticoid and opioid exposure vary across the population, and are influenced by provider factors. Opioids are also associated with delays in disease-modifying treatment initiation. Recent evidence increasingly demonstrates toxicity associated with even low-dose glucocorticoids (≤7.5 mg/day). Up to two-thirds of RA patients may be able to discontinue chronic low-dose glucocorticoids without flare or adrenal insufficiency. These new data have led to changes in clinical practice guidelines for glucocorticoid use in RA.

SUMMARY

Although low-dose and short-term glucocorticoid use is extremely common and effective in RA management, increasing evidence of toxicity has led experts to begin recommending that such exposure be minimized. Despite a lack of data to suggest opioids improve RA disease activity, they are used commonly, continued long-term, and associated with delayed effective therapy.

Use of healthcare services and therapeutic measures associated with new episodes of acute low back pain-related disability among elderly people: a cross-sectional study on the Back Complaints in the Elders - Brazil cohort

BACKGROUND

Patients with low back pain frequently undergo a variety of diagnostic and therapeutic interventions, but some of these have uncertain effectiveness. This highlights the importance of the association of healthcare services and therapeutic measures relating to disability.

OBJECTIVE

To analyze the use of healthcare services and therapeutic measures among Brazilian older adults with disability-related low back pain.

DESIGN AND SETTING

Observational cross-sectional study on baseline assessment data from the Back Complaints in the Elders - Brazil (BACE-B) cohort.

METHODS

The main analyses were based on a consecutive sample of 602 older adult participants in BACE-B (60 years of age and over). The main outcome measurement for disability-related low back pain was defined as a score of 14 points or more in the Roland Morris Questionnaire.

RESULTS

Visits to doctors in the previous six weeks (odds ratio, OR = 1.82; 95% confidence interval, CI 1.22-2.71) and use of analgesics in the previous three months (OR = 1.57; 95% CI 1.07-2.31) showed statistically significant associations with disability-related low back pain. The probability of disability-related low back pain had an additive effect to the combination of use of healthcare services and therapeutic measures (OR = 2.57; 95% CI 1.52-4.36). The analyses showed that this association was significant among women, but not among men.

CONCLUSIONS

Occurrence of the combined of consultations and medication use was correlated with higher chance of severe disability among these elderly people with nonspecific low back pain. This suggested that overuse and "crowding-in" effects were present in medical services for elderly people.

Opioid Use and the Risk of Falls, Fall Injuries and Fractures among Older Adults: A Systematic Review and Meta-Analysis

BACKGROUND

There is increasing concern about opioid use as a pain treatment option among older adults. Existing literature implies an association between opioid use and fracture, increasing the risk of death and disabilities; yet, this relationship with other fall-related outcomes has not been fully explored. We performed a meta-analysis to evaluate the associations between opioid use and adverse health outcomes of falls, fall injuries, and fractures among older adults.

METHODS

A systematic literature search was conducted using nine databases: Medline, Embase, CINAHL, PsycInfo, Global Health, Northern Light Sciences Conference Abstracts, Cochrane CENTRAL, WHO International Clinical Trials Registry Platform, and ClinicalTrials.gov. We log-transformed effect sizes (relative risk [RR], odds ratio [OR], and hazard ratio [HR]) to compute pooled risk estimates comparable across the studies. The random-effects model was applied to calculate the pooled risk estimates due to heterogeneity. Meta-regressions explored differences in risk estimates by analysis method, study design, setting, and study quality.

RESULTS

Thirty studies, providing 34 relevant effect sizes, met the inclusion criteria for this meta-analysis. Overall, opioid use was significantly associated with falls, fall injuries, and fractures, with effect sizes ranging from 0.15 to 0.71. In meta-regressions, no selected factors explained heterogeneity.

CONCLUSION

While heterogeneity is present, results suggest an increased risk of falls, fall injuries, and fractures among older adults who used opioids. Findings highlight the need for opioid education and nonopioid-related pain management interventions among older adults to decrease fall-related risk.

Predictors of Opioid Prescription After Orthognathic Surgery in Opioid Naive Adults From a Large Database

BACKGROUND

Orthognathic surgery often requires postoperative opioid pain management. The goal of this study was to examine opioid prescribing patterns in adults after orthognathic surgery and to analyze factors associated with high-dose postoperative opioid administration and persistent opioid use.

METHODS

We included opioid naive adults in the IBM MarketScan Databases who had undergone orthognathic surgery from 2003 to 2017. Three outcomes were examined: presence of a perioperative outpatient opioid claim; total oral morphine milliequivalents (MMEs) in the perioperative period; and persistent opioid use. Univariate analysis and multiple regression were used to determine associations between the outcomes and independent variables.

RESULTS

Our study yielded a cohort of 8163 opioid naive adults, 45.6% of whom had an opioid claim in the perioperative period. The average prescribed MMEs in the perioperative period was 466 MMEs total, and 66 MMEs daily. Of patients with an opioid claim, 17.9% had persistent opioid use past 90 days. The presence of a complication was a predictor of having an opioid claim (P<0.001). Increasing age (P<0.001) and days hospitalized (P < 0.001) were associated with increased opioid usage. Persistent opioid use was associated with being prescribed more than 600 MMEs in the perioperative period (P < 0.001), as well as increasing age and days hospitalized. Interestingly, patients undergoing double-jaw surgery did not have significantly more opioids prescribed than those undergoing single-jaw surgery.

CONCLUSIONS

Prescription opioids are relatively uncommon after jaw surgery, although 17.9% of patients continue to use opioids beyond 3 months after surgery. Predictors of persistent opioid use in this population include the number of days hospitalized, increasing age, and increasing amount of opioid prescribed postoperatively.

Regional and temporal variation in receipt of long-term opioid therapy among older breast, colorectal, lung, and prostate cancer survivors in the United States

BACKGROUND

Older cancer survivors have high rates of long-term opioid therapy (≥90 days/year). However, the geographical and temporal variation in long-term opioid therapy rates for older cancer survivors is not known.

METHODS

A retrospective cohort study was conducted using SEER-Medicare data. Persons aged ≥66 years, diagnosed with breast, colorectal, lung, or prostate cancer from 1991 to 2011, and alive ≥5 years after diagnosis were included. Persons were followed from 1/1/2008 until 12/31/2016. Persons were assigned to a census region in their state of residence each year. Individuals who were covered by an opioid prescription for at least 90 days in a calendar year were classified as having received long-term opioid therapy. Multivariable analysis was conducted using generalized estimating equations.

RESULTS

Temporal trends significantly varied by region (p < 0.0001) and opioid-naïve status (p < 0.0001). Compared to 2013, opioid-naïve cancer survivors in the south and non-naïve survivors in the south and west experienced significant declines in long-term opioid therapy in 2015 and 2016. Significant declines were observed in 2016 for opioid-naïve and non-naïve cancer survivors residing in the northeast and among opioid-naïve cancer survivors living in the Midwest.

CONCLUSION

The annual trends in the receipt of long-term opioid therapy significantly varied by region among older cancer survivors. Variation in a clinical practice suggests the need for more research and interventions to improve efficiency, process, cost, and quality of care.

Bone fractures in patients using tapentadol or oxycodone: an exploratory US claims database study

Aim: To explore fracture outcomes with tapentadol or oxycodone, two opioids with differing mechanisms of action. Materials & methods: Retrospective cohort pilot study, using MarketScan^® Commercial and Medicare Supplemental claims databases, on patients with postoperative pain, back pain, or osteoarthritis and ≥1 claim for tapentadol (n = 16,457), oxycodone (n = 1,356,920), or both (n = 15,893) between June 2009 and December 2015. Results: During 266,826 and 9,007,889 days of tapentadol and oxycodone treatment, patients evidenced 1080 and 72,275 fractures, respectively. Fracture rates per treatment-year were 1.512 for tapentadol and 3.013 for oxycodone. Conclusion: Examination of administrative claims has inherent limitations, but this exploratory analysis indicates a lower fracture rate with tapentadol than oxycodone in the analyzed dataset, which needs confirmation by further clinical trials.

The association between the supply of select nonpharmacologic providers for pain and use of nonpharmacologic pain management services and initial opioid prescribing patterns for Medicare beneficiaries with persistent musculoskeletal pain

OBJECTIVE

To test the relationship between the supply of select nonpharmacologic providers (physical therapy (PT) and mental health (MH)) and use of nonpharmacologic services among older adults with a persistent musculoskeletal pain (MSP) episode.

DATA SOURCES/STUDY SETTING

Claims data from a 5 percent random sample of Medicare beneficiaries enrolled fee-for-service (2007-2014) and the Area Health Resource File (AHRF).

STUDY DESIGN

This retrospective study used generalized estimating equations to estimate the association between the county nonpharmacologic provider supply and individual service use with opioid prescriptions filled during Phase 1 (first three months of an episode) and Phase 2 (three months following Phase 1).

DATA COLLECTION/EXTRACTION METHODS

We identified beneficiaries (>65 years) with ≥2 MSP diagnoses ≥90 days apart and no opioid prescription six months before the first pain diagnosis (N = 69 456). Beneficiaries' county characteristics were assigned using the AHRF.

PRINCIPAL FINDINGS

About 13.9 percent of beneficiaries used PT, 1.8 percent used MH services, and 10.7 percent had an opioid prescription during the first three months of a persistent MSP episode. An additional MH provider/10 000 people/county [aOR: 0.97, 95% CI: 0.96-0.98] and PT/10 000 people/county [aOR: 0.98, 95% CI: 0.97-1.00] was associated with lower odds of filling an opioid prescription in Phase 1. An additional MH provider/10 000 people/county [aOR: 0.97, 95% CI: 0.96-0.98] and PT use in Phase 1 [aOR: 0.62, 95% CI: 0.58-0.67] were associated with lower odds of filling an opioid prescription in Phase 2. The associations between the supply of providers and nonpharmacologic service use in Phase 1 and Phase 1 opioid prescriptions significantly differed by metropolitan and rural counties (P-value: .019).

CONCLUSIONS

Limited access to nonpharmacologic services is associated with opioid prescriptions at the onset of a persistent MSP episode. Initiating PT at the onset of an episode may reduce future opioid use. Strategies for engaging beneficiaries in nonpharmacologic services should be tailored for metropolitan and rural counties.

Opioid prescription practices for patients discharged from the emergency department with acute musculoskeletal fractures

BACKGROUND

Opioid related mortality rate has increased 200% over the past decade. Studies show variable emergency department (ED) opioid prescription practices and a correlation with increased long-term use. ED physicians may be contributing to this problem. Our objective was to analyze ED opioid prescription practices for patients with acute fractures.

METHODS

We conducted a review of ED patients seen at two campuses of a tertiary care hospital. We evaluated a consecutive sample of patients with acute fractures (January 2016-April 2016) seen by ED physicians. Patients admitted or discharged by consultant services were excluded. The primary outcome was the proportion of patients discharged with an opioid prescription. Data were collected using screening lists, electronic records, and interobserver agreement. We calculated simple descriptive statistics and a multivariable analysis.

RESULTS

We enrolled 816 patients, including 441 females (54.0%). Most common fracture was wrist/hand (35.2%). 260 patients (31.8%) were discharged with an opioid; hydromorphone (N = 115, range 1-120 mg) was most common. 35 patients (4.3%) had pain related ED visits <1 month after discharge. Fractures of the lumbar spine (OR 10.78 [95% CI: 3.15-36.90]) and rib(s)/sternum/thoracic spine (OR 5.46 [95% CI: 2.88-10.35)] had a significantly higher likelihood of opioid prescriptions.

CONCLUSIONS

The majority of patients presenting to the ED with acute fractures were not discharged with an opioid. Hydromorphone was the most common opioid prescribed, with large variations in total dosage. Overall, there were few return to ED visits. We recommend standardization of ED opioid prescribing, with attention to limiting total dosage.

An updated analysis of opioids increasing the risk of fractures

Objective

To assess the relationship between opioid therapy for chronic noncancer pain and fracture risk by a meta-analysis of cohort studies and case-control studies.

Methods

The included cohort studies and case-control studies were identified by searching the PubMed and EMBASE databases from their inception until May 24, 2019. The outcome of interest was a fracture. This information was independently screened by two authors. When the heterogeneity among studies was significant, a random effects model was used to determine the overall combined risk estimate.

Results

In total, 12 cohort studies and 6 case-control studies were included. We used the Newcastle-Ottawa Scale (NOS) to evaluate the quality of the included literature, and 14 of the studies were considered high-quality studies. The overall relative risk of opioid therapy and fractures was 1.78 (95% confidence interval (CI) 1.53–2.07). Subgroup analyses revealed sources of heterogeneity, sensitivity analysis was stable, and no publication bias was observed.

Conclusions

The meta-analysis showed that the use of opioids significantly increased the risk of fracture.

Factors associated with discharge opioid prescription after hip fracture fixation

OBJECTIVE

Opioid prescribing after hip fracture fixation is variable, but the factors that drive this prescribing variation are not well-described. The purpose of this study was to determine independent factors associated with increased opioid prescription upon discharge after hip fracture fixation.

METHODS

A retrospective cohort study of 296 adult patients who underwent hip fracture fixation between January 2016 and December 2017 at two Level I trauma centers were included in our study. The primary outcome measurement was opioid prescription at discharge in morphine milligram equivalents (MME). Bivariate analysis was used to screen for factors, and multivariable regression analysis was used to identify independent factors associated with opioid prescription upon discharge from the hospital.

RESULTS

Discharge opioid prescription amounts were available for 280 out of 296 patients (95%). The mean (±standard deviation) discharge opioid prescription was 212 (±319) MME. Multivariable regression analysis showed that younger age (p = 0.004), diabetes mellitus (p = 0.02), smoking (p < 0.001), treatment at hospital #2 (p < 0.001), and weekend discharge (p = 0.03) were associated with increased opioid prescription at discharge.

CONCLUSIONS

Increased opioid prescribing after hip fracture fixation is associated with patient- and system-related factors. Prescriber education programs, prescription guidelines, and safe handoff practices that focus on these factors may help to decrease prescription variability and opioid overprescription across institutions.

Association of Formulary Exclusions and Restrictions for Opioid Alternatives With Opioid Prescribing Among Medicare Beneficiaries

IMPORTANCE

Although there are many pharmacologic alternatives to opioids, it is unclear whether the structure of Medicare Part D formularies discourages use of the alternatives.

OBJECTIVES

To quantify the coverage of opioid alternatives and prevalence of prior authorization, step therapy, quantity limits, and tier placement for these drugs, and test whether these formulary exclusions and restrictions are associated with increased opioid prescribing to older adults at the county level.

DESIGN, SETTING, AND PARTICIPANTS

County fixed-effect models were estimated using a panel of counties across the 50 US states and the District of Columbia over calendar years 2015 and 2016. Data analysis was conducted from July 1 to September 23, 2019. The sample included 2721 counties in 2015 and 2671 counties in 2016 with sufficient data on Medicare Part D formulary design and opioid prescribing.

MAIN OUTCOMES AND MEASURES

County-level opioid prescribing rate (number of opioid claims divided by the number of overall claims) and counts of excluded opioid alternatives and opioid alternatives with prior authorization, step therapy, quantity limits, and high-tier placements.

RESULTS

A total of 30 nonopioid analgesics were examined across 28 997 Medicare plans in 2015 and 30 390 plans in 2016. Medicare plans did not cover a mean of 7% of these drugs (interquartile range, 10%; lower to upper limit, 0%-23%). Among covered nonopioids, prior authorization and step therapy were uncommon, with fewer than 5% affected by prior authorization and 0% by step therapy. However, 13% of covered nonopioids had quantity limits (interquartile range, 10%; lower to upper limit, 0%-31%) and 22% were in high-cost tiers (interquartile range, 38%; lower to upper limit, 0%-50%). Increases in the number of nonopioids excluded on Medicare plans in a county were associated with increased opioid prescribing (effect size relative to mean, 2.2%-3.7%; P = .004). Conversely, increases in the number of opioids not covered on Medicare plans in a county was found to be associated with decreased opioid prescribing (effect size relative to mean, 0.8%-1.5%; P = .02). None of the utilization management strategies (prior authorization, step therapy, and quantity limits) examined or high-cost tier placements of nonopioids were associated with increased opioid prescribing.

CONCLUSIONS AND RELEVANCE

Lack of Medicare coverage for pharmacologic alternatives to opioids may be associated with increased opioid prescribing.

Medical cannibus as an alternative for opioids for chronic pain: A case report

Opioid medication-related deaths have increased to epidemic proportions in the last decade. This report describes a case of 43-year-old female with a traumatic brain injury who developed chronic pain and opioid dependence. The patient expressed concerns and wanted weaning off opioids. Recent legalization of medical marijuana in Pennsylvania allows us to try it as an alternative to opioids for chronic pain. Medical cannibus has risks associated with administration but is safer than opioids. Our patient was successfully weaned off her opioid medications with the help of medical cannibus and pain remained well controlled. More studies need to be done on using medical cannibus as an alternative to opioids.

Opioid-induced endocrinopathies

The use of opioids is becoming a global epidemic, leading to a rise in the occurrence and recognition of the effects of opioid drugs on the endocrine system. Nonetheless, opioid-induced endocrinopathies still remain underdiagnosed, mainly because of symptom under-reporting by patients and poor clinician awareness. Hypogonadism is the most well recognised consequence of opioid use, but the inhibitory effects of opioid drugs on the hypothalamo-pituitary-adrenal axis and their negative effects on bone health also require attention. Hyperprolactinaemia might be detected in opioid users, but clinically relevant thyroid dysfunction has not been identified. The effects of opioids on other hormones have not been clearly defined. Assessment of gonadal and adrenal function (particularly if high index of clinical suspicion of hypogonadism or hypoadrenalism) and evaluation of bone health are advised in people that use opiods. Discontinuation or reduction of opioid dose and appropriate hormone replacement are the management approaches that should be considered for hypogonadism and hypoadrenalism. Further research is needed to facilitate the development of evidence-based guidelines on the diagnosis and optimal management of opioid-induced endocrinopathies.

Dichotomic effects of clinically used drugs on tumor growth, bone remodeling and pain management

Improvements in the survival of breast cancer patients have led to the emergence of bone health and pain management as key aspects of patient’s quality of life. Here, we used a female rat MRMT-1 model of breast cancer-induced bone pain to compare the effects of three drugs used clinically morphine, nabilone and zoledronate on tumor progression, bone remodeling and pain relief. We found that chronic morphine reduced the mechanical hypersensitivity induced by the proliferation of the luminal B aggressive breast cancer cells in the tumor-bearing femur and prevented spinal neuronal and astrocyte activation. Using MTT cell viability assay and MRI coupled to ¹⁸FDG PET imaging followed by ex vivo 3D µCT, we further demonstrated that morphine did not directly exert tumor growth promoting or inhibiting effects on MRMT-1 cancer cells but induced detrimental effects on bone healing by disturbing the balance between bone formation and breakdown. In sharp contrast, both the FDA-approved bisphosphonate zoledronate and the synthetic cannabinoid nabilone prescribed as antiemetics to patients receiving chemotherapy were effective in limiting the osteolytic bone destruction, thus preserving the bone architecture. The protective effect of nabilone on bone metabolism was further accompanied by a direct inhibition of tumor growth. As opposed to zoledronate, nabilone was however not able to manage bone tumor-induced pain and reactive gliosis. Altogether, our results revealed that morphine, nabilone and zoledronate exert disparate effects on tumor growth, bone metabolism and pain control. These findings also support the use of nabilone as an adjuvant therapy for bone metastases.

Concurrent Use of Opioids with Other Central Nervous System-Active Medications Among Older Adults

The primary objective was to determine the prevalence and characteristics of older adults concurrently using opioids and other central nervous system (CNS)-active medications, and the specialties of providers who ordered the medications. A secondary objective was to document medication-related adverse effects associated with such concurrent drug use. Study populations were identified as older adults aged ≥65 years with 1 year continuous medical and drug plan enrollment during 2017 and opioid use of ≥2 prescriptions for ≥15 days' supply. CNS-active medications included benzodiazepines, non-benzodiazepine hypnotics, muscle relaxants, antipsychotics, and gabapentinoids. Provider specialties were identified from the National Provider Identification database. Characteristics associated with opioids only, opioids plus 1, and opioids plus ≥2 additional CNS-active medications were determined using multinomial logistic regression. Outcome measures during 2017 included injurious falls/fractures and ≥3 emergency room (ER) visits. Among eligible insureds (N = 209,947), 57% used opioids only, 28% used opioids plus 1 additional CNS medication, and 15% used ≥2 additional medications. About 60% of opioids and other concurrent CNS medications were prescribed by the same provider, generally a primary care provider. Benzodiazepines and gabapentinoids were most often used concurrently with opioids. Health status, insomnia, anxiety, depression, and low back pain had the strongest associations with concurrent medication use. Overall, concurrent use with ≥2 CNS medications increased the likelihood of injurious falls/fractures or ≥3 ER visits in this population by about 18% and 21%, respectively. Both patients and providers may benefit from an awareness of adverse outcomes associated with concurrent opioid and other CNS-active medication use.

Multimorbidity and Opioid Prescribing in Hospitalized Older Adults

Background: Multimorbidity and pain are both common among older adults, yet pain treatment strategies for older patients with multimorbidity have not been well characterized. Objectives: To assess the prevalence and relationship between multimorbidity and opioid prescribing in hospitalized older medical patients with pain. Methods: We collected demographic, morbidity, pain, and analgesic treatment data through structured review of the electronic medical records of a consecutive sample of 238 medical patients, aged ≥65 years admitted between November 2014 and May 2015 with moderate-to-severe pain by numerical pain rating scale (range 4-10). We used the Cumulative Illness Rating Scale for Geriatrics (CIRS-G) to assess multimorbidity and cumulative illness burden. We examined the relationship between morbidity measures and opioid prescribing at hospital discharge using multivariate regression analysis. Results: The mean age was 75 ± 8 years, 57% were female and 50% were non-White. Mean CIRS-G total score was 17 ± 6, indicating high cumulative illness burden. Ninety-nine percent of patients had multimorbidity, defined as moderate-to-extremely severe morbidity in ≥2 organ systems. Sixty percent of patients received an opioid prescription at discharge. In multivariate analyses adjusted for age, race, and gender, patients with a discharge opioid prescription were significantly more likely to have higher cumulative illness burden and chronic pain. Conclusion: Among older medical inpatients, multimorbidity was nearly universal, and patients with higher cumulative illness burden were more likely to receive a discharge opioid prescription. More studies of benefits and harms of analgesic treatments in older adults with multimorbidity are needed to guide clinical practice.

Association between opioid use disorder and fractures: a population-based study

AIMS

To test whether fractures and osteoporosis are more prevalent among patients with opioid use disorder (OUD) than patients without OUD in Taiwan.

DESIGN

We conducted a retrospective cohort study using data from the National Health Insurance Research Database (NHIRD) in Taiwan.

SETTING

Taiwan.

PARTICIPANTS

The number of adult patients with OUD and without OUD was 3695 and 14 780, respectively. We established both cohorts from 1 January 1998 to 31 December 2011 to observe the incidence of fracture. The occurrence of fracture was followed-up until the end of 2011.

MEASUREMENTS

The primary measure was incidence of fracture. The relative risk of fracture was estimated using the Cox proportional hazard model after adjusting for age, sex, index year and comorbidities. Comorbidities included diabetes mellitus, hyperlipidemia, stroke, chronic obstructive pulmonary disease, heart failure, alcohol-related illness, osteoporosis, end-stage renal disease, obesity and rheumatoid arthritis, using the International Classification of Diseases, 9th revision, clinical modification.

FINDINGS

Patients with OUD were 4.13 times more likely to suffer fractures than patients without OUD [incidence rate (IR) per 1000 person-years = 23.0 versus 5.47, adjusted hazard ratio (HR) = 3.74, 95% confidence interval (CI) = 3.27-4.29]. Compared with the control group, the risk of fracture was higher among the patients with OUD. Risk of fracture was higher in male elderly patients with diabetes mellitus, alcohol-related illness or osteoporosis. The cumulative incidences of fracture over 14 years of patients with OUD and without OUD differed significantly.

CONCLUSIONS

Taiwanese patients with opioid use disorder appear to have a higher adjusted hazard ratio for fracture than Taiwanese patients without opioid use disorder.