Association of Receiving Multiple, Concurrent Fracture-Associated Drugs With Hip Fracture Risk

Global, regional, and national burdens of hip fractures in elderly individuals from 1990 to 2021 and predictions up to 2050: A systematic analysis of the Global Burden of Disease Study 2021

PURPOSE

We aimed to analyse the global, regional, and national burdens of hip fractures in older adults from 1990 to 2021, with projections to 2050, on the basis of data from the GBD 2021 study.

METHODS

We employed a joinpoint model to analyse trends in the burden of hip fractures from 1990‒2021. The estimated annual percentage change (EAPC) was used to quantify temporal trends over this period. We evaluated the relationship between the social development index and the burden of hip fracture in elderly people and conducted a health inequality analysis. Additionally, we applied Long-short Term Memory (LSTM) networks to forecast burden trends of hip fractures up to 2050.

RESULTS

The global age-standardized incidence rate (ASIR) for hip fractures in older adults rose from 781.56 per 100,000 in 1990 to 948.81 in 2021. The 2021 age-standardized prevalence rate (ASPR) was 1,894.07, and the age-standardized YLD rate (ASDR) was 173.52. From 1990 to 2021, the incidence and prevalence increased by 168.71 % and 173.07 %, respectively, while the burden of DALYs decreased. Future trends were projected via the LSTM. The burden and risk factors for hip fractures varied significantly by sex, country, and region. Population and aging are primary contributors to the rising incidence of elderly hip fractures, with falls being the leading direct cause.

CONCLUSION

From 1990 to 2021, the global burden of hip fractures in the elderly population, especially among older women, steadily increased. Population ageing highlights the urgent need for targeted public health interventions and resource allocation, including early diagnosis, effective prevention strategies, and region-specific management approaches.

Exploiting relationship directionality to enhance statistical modeling of peer-influence across social networks

Risky-prescribing is the excessive or inappropriate prescription of drugs that singly or in combination pose significant risks of adverse health outcomes. In the United States, prescribing of opioids and other "risky" drugs is a national public health concern. We use a novel data framework-a directed network connecting physicians who encounter the same patients in a sequence of visits-to investigate if risky-prescribing diffuses across physicians through a process of peer-influence. Using a shared-patient network of 10 661 Ohio-based physicians constructed from Medicare claims data over 2014-2015, we extract information on the order in which patients encountered physicians to derive a directed patient-sharing network. This enables the novel decomposition of peer-effects of a medical practice such as risky-prescribing into directional (outbound and inbound) and bidirectional (mutual) relationship components. Using this framework, we develop models of peer-effects for contagion in risky-prescribing behavior as well as spillover effects. The latter is measured in terms of adverse health events suspected to be related to risky-prescribing in patients of peer-physicians. Estimated peer-effects were strongest when the patient-sharing relationship was mutual as opposed to directional. Using simulations we confirmed that our modeling and estimation strategies allows simultaneous estimation of each type of peer-effect (mutual and directional) with accuracy and precision. We also show that failing to account for these distinct mechanisms (a form of model mis-specification) produces misleading results, demonstrating the importance of retaining directional information in the construction of physician shared-patient networks. These findings suggest network-based interventions for reducing risky-prescribing.

Pancreatic cancer risk in diabetic patients using the Japanese Regional Insurance Claims

Pancreatic cancer presents a critical health issue characterized by low survival rates. Identifying risk factors in specific populations, such as those with diabetes, is crucial for early detection and improved outcomes. This study aimed to identify risk factors for pancreatic cancer in diabetic patients using a longitudinal cohort from the Shizuoka Kokuho database, spanning April 2012 to September 2021. Diabetic patients were identified and monitored for the onset of pancreatic cancer. Factors analyzed included age, sex, the Elixhauser comorbidity index, and specific comorbidities. Statistical analyses involved univariate and multivariate Cox proportional hazards regression. The study identified 212,775 as diabetic patients and 1755 developed pancreatic cancer during the period. The annual incidence rate of pancreatic cancer in this group was 166.7 cases per 100,000 person-years. The study identified older age, male sex, a history of liver disease, chronic pancreatitis, and pancreatic cystic lesions as significant risk factors for pancreatic cancer in diabetic patients. The study also highlighted the absence of a significant association between diabetes type or diabetic complications and the onset of pancreatic cancer. These findings may aid in the early diagnosis of pancreatic cancer in diabetic patients and may inform revisions in screening practices in diabetic patients.

Central Nervous System Medications: Pharmacokinetic and Pharmacodynamic Considerations for Older Adults

Most drugs have not been evaluated in the older population. Recognizing physiological alterations associated with changes in drug disposition and with the ultimate effect, especially in central nervous system-acting drugs, is fundamental. While considering pharmacokinetics, it should be noted that the absorption of most drugs from the gastrointestinal tract does not change in advanced age. There are only few data about the effect of age on the transdermal absorption of medications such as fentanyl. Absorption from an intramuscular injection may be similar in older adults as in younger patients. The distribution of lipophilic drugs (such as diazepam) is increased owing to a relative increase in the percentage of body fat, causing drug accumulation and prolonged drug elimination following cessation. Phase I drug biotransformation is variably decreased in aging, impacting elimination, and hepatic drug clearance has been shown to decrease in older individuals by 10-40% for most drugs studied. Lower doses of phenothiazines, butyrophenones, atypical antipsychotics, antidepressants (citalopram, mirtazapine, and tricyclic antidepressants), and benzodiazepines (such as diazepam) achieve the same extent of exposure. For renally cleared drugs with no prior metabolism (such as gabapentin), the glomerular filtration rate appropriately estimates drug clearance. Important pharmacodynamic changes in older adults include an increased sedative effect of benzodiazepines at a given drug exposure, and a higher sensitivity to mu opiate receptor agonists and to opioid adverse effects. Artificial intelligence, physiologically based pharmacokinetic modeling and simulation, and concentration-effect modeling enabling a differentiation between the pharmacokinetic and the pharmacodynamic effects of aging might help to close some of the gaps in knowledge.

The Pharmacological Treatment of Chronic Pain: From Guidelines to Daily Clinical Practice

In agreement with the International Association for the Study of Pain, chronic pain is an unpleasant sensory and emotional experience associated with actual or potential tissue damage. To date, there are several types of pain: nociceptive, neuropathic, and nociplastic. In the present narrative review, we evaluated the characteristics of the drugs used for each type of pain, according to guidelines, and their effects in people with comorbidity to reduce the development of severe adverse events.

Effectiveness of suvorexant versus benzodiazepine receptor agonist sleep drugs in reducing the risk of hip fracture: Findings from a regional population-based cohort study

Sleep drugs are often necessary to treat insomnia in older patients. Benzodiazepine receptor agonists (BZRAs) are primarily used for insomnia in these patients, but there are concerns regarding their association with delirium and bone fractures. Among sleep drugs, orexin receptor antagonists such as suvorexant have a lower risk of delirium than BZRAs, but their effectiveness in preventing hip fractures is unknown. Hip fracture is a life-threatening trauma in advanced-age patients and a social problem. Therefore, we investigated the relationship between suvorexant and hip fracture. The Shizuoka Kokuho Database was used to compare the time to hip fracture in patients who had been newly taking suvorexant and other sleep drugs such as benzodiazepines since November 2014. A proportional hazards model for hip fracture as an outcome was used to estimate the hazard ratio. Propensity scores were estimated using a logistic regression model, and the confounding factors were age, sex, several comorbidities, and each oral medication. The suvorexant group comprised 6860 patients (110 with hip fracture), and the BZRA group (benzodiazepines and Z-drugs) comprised 50,203 patients (1487 with hip fracture). In the matched cohort (6855:6855 patients), 259 and 249 patients in the suvorexant and BZRA group developed hip fractures during the observational period, respectively. The hazard ratio of the suvorexant group compared with the BZRA group was 1.48 (95% confidence interval, 1.20-1.82). In the subgroup analysis, patients in the suvorexant group had a higher risk of hip fracture if they were aged >75 years, had no diabetes, had no neurological disease, had no renal failure, had liver disease, had hypertension, were not taking alpha 1 blockers, and were not taking oral steroids. Among people in the Japanese regional population who use sleep drugs, patients taking suvorexant can be at higher risk of hip fracture than patients taking BZRAs.

Sustained Morphine Delivery Suppresses Bone Formation and Alters Metabolic and Circulating miRNA Profiles in Male C57BL/6J Mice

Opioid use is detrimental to bone health, causing both indirect and direct effects on bone turnover. Although the mechanisms of these effects are not entirely clear, recent studies have linked chronic opioid use to alterations in circulating miRNAs. Here, we developed a model of opioid-induced bone loss to understand bone turnover and identify candidate miRNA-mediated regulatory mechanisms. We evaluated the effects of sustained morphine treatment on male and female C57BL/6J mice by treating with vehicle (0.9% saline) or morphine (17 mg/kg) using subcutaneous osmotic minipumps for 25 days. Morphine-treated mice had higher energy expenditure and respiratory quotient, indicating a shift toward carbohydrate metabolism. Micro-computed tomography (μCT) analysis indicated a sex difference in the bone outcome, where male mice treated with morphine had reduced trabecular bone volume fraction (Tb.BV/TV) (15%) and trabecular bone mineral density (BMD) (14%) in the distal femur compared with vehicle. Conversely, bone microarchitecture was not changed in females after morphine treatment. Histomorphometric analysis demonstrated that in males, morphine reduced bone formation rate compared with vehicle, but osteoclast parameters were not different. Furthermore, morphine reduced bone formation marker gene expression in the tibia of males (Bglap and Dmp1). Circulating miRNA profile changes were evident in males, with 14 differentially expressed miRNAs associated with morphine treatment compared with two differentially expressed miRNAs in females. In males, target analysis indicated hypoxia-inducible factor (HIF) signaling pathway was targeted by miR-223-3p and fatty acid metabolism by miR-484, -223-3p, and -328-3p. Consequently, expression of miR-223-3p targets, including Igf1r and Stat3, was lower in morphine-treated bone. In summary, we have established a model where morphine leads to a lower trabecular bone formation in males and identified potential mediating miRNAs. Understanding the sex-specific mechanisms of bone loss from opioids will be important for improving management of the adverse effects of opioids on the skeleton. © 2022 American Society for Bone and Mineral Research (ASBMR).

Risk assessment tools for osteoporosis and fractures in 2022

Osteoporosis is one of the frequently encountered non-communicable diseases in the world today. Several hundred million people have osteoporosis, with many more at risk. The clinical feature is a fragility fracture (FF), which results in major reductions in the quality and quantity of life, coupled with a huge financial burden. In recognition of the growing importance, the World Health Organisation established a working group 30 years ago tasked with providing a comprehensive report to understand and assess the risk of osteoporosis in postmenopausal women. Dual-energy X-ray absorptiometry (DXA) is the most widely endorsed technology for assessing the risk of fracture or diagnosing osteoporosis before a fracture occurs, but others are available. In clinical practice, important distinctions are essential to optimise the use of risk assessments. Traditional tools lack specificity and were designed for populations to identify groups at higher risk using a 'one-size-fits-all' approach. Much has changed, though the purpose of risk assessment tools remains the same. In 2022, many tools are available to aid the identification of those most at risk, either likely to have osteoporosis or suffer the clinical consequence. Modern technology, enhanced imaging, proteomics, machine learning, artificial intelligence, and big data science will greatly advance a more personalised risk assessment into the future. Clinicians today need to understand not only which tool is most effective and efficient for use in their practice, but also which tool to use for which patient and for what purpose. A greater understanding of the process of risk assessment, deciding who should be screened, and how to assess fracture risk and prognosis in older men and women more comprehensively will greatly reduce the burden of osteoporosis for patients, society, and healthcare systems worldwide. In this paper, we review the current status of risk assessment, screening and best practice for osteoporosis, summarise areas of uncertainty, and make some suggestions for future developments, including a more personalised approach for individuals.

Population-based signals of benzodiazepine drug interactions associated with unintentional traumatic injury

Benzodiazepine receptor agonists and related medications, such as Z-drugs and dual orexin receptor antagonists (BZDs), have been associated with unintentional traumatic injury due to their central nervous system (CNS)-depressant effects. Drug-drug interactions (DDIs) may contribute to the known relationship between BZD use and unintentional traumatic injury, yet evidence is still lacking. We conducted high-throughput pharmacoepidemiologic screening using the self-controlled case series design in a large US commercial health insurance database to identify potentially clinically relevant DDI signals among new users of BZDs. We used conditional Poisson regression to estimate rate ratios (RRs) between each co-exposure (vs. not) and unintentional traumatic injury (primary outcome), typical hip fracture (secondary outcome), and motor vehicle crash (secondary outcome). We identified 48 potential DDI signals (1.1%, involving 39 unique co-dispensed drugs), i.e., with statistically significant elevated adjusted RRs for injury. Signals were strongest for DDI pairs involving zolpidem, lorazepam, temazepam, alprazolam, eszopiclone, triazolam, and clonazepam. We also identified four potential DDI signals for typical hip fracture, but none for motor vehicle crash. Many signals have biologically plausible explanations through additive or synergistic pharmacodynamic effects of co-dispensed antidepressants, opioids, or muscle relaxants on CNS depression, impaired psychomotor and cognitive function, and/or somnolence. While other signals that lack an obvious mechanism may represent true associations that place patients at risk of injury, it is also prudent to consider the roles of chance, reverse causation, and/or confounding by indication, which merit further exploration. Given the high-throughput nature of our investigation, findings should be interpreted as hypothesis generating.

Use of Prescription Medications With Cardiovascular Adverse Effects Among Older Adults in the United States

Background

Many commonly used prescription medications have cardiovascular adverse effects, yet the cumulative risk of cardiovascular events associated with the concurrent use of these medications is unknown. We examined the association between the concurrent use of prescription medications with known risk of a major adverse cardiovascular event (MACE) (“MACE medications”) and the risk of such events among older adults.

Methods

A multi‐center, population‐based study from the Atherosclerosis Risk in Communities (ARIC) study of a cohort of 3669 community‐dwelling adults aged 61–86 years with no history of cardiovascular disease who reported the use of at least one medication between September 2006 and August 2013 were followed up until August 2015. Exposure defined as time‐varying and time‐fixed use of 1, 2 or ≥3 MACE medications with non‐MACE medications serving as negative control. Primary outcome was incident MACE defined as coronary artery revascularization, myocardial infarction, fatal coronary heart disease, stroke, cardiac arrest, or death.

Results

In fully adjusted models, there was an increased risk of MACE associated with use of 1, 2, or ≥3 MACE medications (1 MACE: hazards ratio [HR], 1.21; 95% confidence interval [CI], 0.94–1.57); 2 MACE: HR 1.89, CI 1.42–2.53; ≥3 MACE: HR 2.22, CI 1.61–3.07) compared to use of non‐MACE medications. These associations persisted in propensity score‐matched analyses and among new users of MACE medications, never users of cardiovascular medications and subgroups of participants with increased risk of MACE. There was no association between the number of non‐MACE medications used and MACE.

Conclusions and Relevance

In this community‐based cohort of older adults with no prior cardiovascular disease, the use of MACE medications was independently and consistently associated with an increased risk of such events in a dose–response fashion.

Prescribing trends of proton pump inhibitors, antipsychotics and benzodiazepines of medicare part d providers

Background

Proton pump inhibitors, benzodiazepines, and antipsychotics are considered potentially inappropriate medications in older adults according to the American Geriatric Society Beers Criteria, and deprescribing algorithms have been developed to guide use of these drug classes. The objective of this study was to describe the number of beneficiaries prescribed these medications, provider specialty and regional trends in prescribing, and the aggregate costs for these claims in Medicare Part D.

Methods

This was a retrospective cross-sectional study using publicly available Medicare Provider Utilization and Payment Data: Part D Prescriber data for years 2013–2019. Descriptive statistics and the Cochrane-Armitage test were used to summarize the trends.

Results

Overall, 30.1%, 25.6%, 4.6% of Medicare Part D beneficiaries had a proton pump inhibitor, benzodiazepine, and antipsychotic claim in 2013, respectively. These rates decreased to 27.5%, 17.5%, 4.1% in 2019 (p-value < 0.0001). However, the number of standardized 30-day claims increased from 63 million in 2013 to 84 million in 2019 for proton pump inhibitors, remained steady for benzodiazepines and slightly increased (10 million to 13 million) for antipsychotics. Total aggregate costs decreased by almost $1.5 billion for proton pump inhibitor, $100 million for benzodiazepine, and $700 million for antipsychotic from 2013 to 2019 (p-value < 0.0001). Almost 93% of gastroenterologists prescribed a proton pump inhibitor, and 60% of psychiatrists prescribed benzodiazepines and antipsychotics all seven years. The Other region had the highest percentage of providers prescribing all three classes and the highest number of standardized 30-day benzodiazepine claims.

Conclusions

The overall rate of use of proton pump inhibitors, benzodiazepines, and antipsychotics decreased from 2013–2019 among Medicare Part D beneficiaries. Despite the increase in raw number of standardized 30-day claims, the costs decreased which is likely due to generics made available. These prescribing trends may aid in identifying and targeting potential deprescribing interventions.

Signals of Muscle Relaxant Drug Interactions Associated with Unintentional Traumatic Injury: A Population-Based Screening Study

BACKGROUND

Use of muscle relaxants is rapidly increasing in the USA. Little is understood about the role of drug interactions in the known association between muscle relaxants and unintentional traumatic injury, a clinically important endpoint causing substantial morbidity, disability, and death.

OBJECTIVE

We examined potential associations between concomitant drugs (i.e., precipitants) taken with muscle relaxants (affected drugs, i.e., objects) and hospital presentation for unintentional traumatic injury.

METHODS

In a series of self-controlled case series studies, we screened to identify drug interaction signals for muscle relaxant + precipitant pairs and unintentional traumatic injury. We used Optum's de-identified Clinformatics^® Data Mart Database, 2000-2019. We included new users of a muscle relaxant, aged 16-90 years, who were dispensed at least one precipitant drug and experienced an unintentional traumatic injury during the observation period. We classified each observation day as precipitant exposed or precipitant unexposed. The outcome was an emergency department or inpatient discharge diagnosis for unintentional traumatic injury. We used conditional Poisson regression to estimate rate ratios adjusting for time-varying confounders and then accounted for multiple estimation via semi-Bayes shrinkage.

RESULTS

We identified 74,657 people who initiated muscle relaxants and experienced an unintentional traumatic injury, in whom we studied concomitant use of 2543 muscle relaxant + precipitant pairs. After adjusting for time-varying confounders, 16 (0.6%) pairs were statistically significantly and positively associated with injury, and therefore deemed signals of a potential drug interaction. Among signals, semi-Bayes shrunk, confounder-adjusted rate ratios ranged from 1.29 (95% confidence interval 1.04-1.62) for baclofen + sertraline to 2.28 (95% confidence interval 1.14-4.55) for methocarbamol + lamotrigine.

CONCLUSIONS

Using real-world data, we identified several new signals of potential muscle relaxant drug interactions associated with unintentional traumatic injury. Only one among 16 signals is currently reported in a major drug interaction knowledge base. Future studies should seek to confirm or refute these signals.

Low-Value Care at the Actionable Level of Individual Health Systems

Importance

Low-value health care remains prevalent in the US despite decades of work to measure and reduce such care. Efforts have been only modestly effective in part because the measurement of low-value care has largely been restricted to the national or regional level, limiting actionability.

Objectives

To measure and report low-value care use across and within individual health systems and identify system characteristics associated with higher use using Medicare administrative data.

Design, Setting, and Participants

This retrospective cohort study of health system-attributed Medicare beneficiaries was conducted among 556 health systems in the Agency for Healthcare Research and Quality Compendium of US Health Systems and included system-attributed beneficiaries who were older than 65 years, continuously enrolled in Medicare Parts A and B for at least 12 months in 2016 or 2017, and eligible for specific low-value services. Statistical analysis was conducted from January 26 to July 15, 2021.

Main Outcomes and Measures

Use of 41 individual low-value services and a composite measure of the 28 most common services among system-attributed beneficiaries, standardized to distance from the mean value. Measures were based on the Milliman MedInsight Health Waste Calculator and published claims-based definitions.

Results

Across 556 health systems serving a total of 11 637 763 beneficiaries, the mean (SD) use of each of the 41 low-value services ranged from 0% (0.01%) to 28% (4%) of eligible beneficiaries. The most common low-value services were preoperative laboratory testing (mean [SD] rate, 28% [4%] of eligible beneficiaries), prostate-specific antigen testing in men older than 70 years (mean [SD] rate, 27% [8%]), and use of antipsychotic medications in patients with dementia (mean [SD] rate, 24% [8%]). In multivariable analysis, the health system characteristics associated with higher use of low-value care were smaller proportion of primary care physicians (adjusted composite score, 0.15 [95% CI, 0.04-0.26] for systems with less than the median percentage of primary care physicians vs -0.16 [95% CI, -0.27 to -0.05] for those with more than the median percentage of primary care physicians; P < .001), no major teaching hospital (adjusted composite, 0.10 [95% CI, -0.01 to 0.20] without a teaching hospital vs -0.18 [95% CI, -0.34 to -0.02] with a teaching hospital; P = .01), larger proportion of non-White patients (adjusted composite, 0.15 [95% CI, -0.02 to 0.32] for systems with >20% of non-White beneficiaries vs -0.06 [95% CI, -0.16 to 0.03] for systems with ≤20% of non-White beneficiaries; P = .04), headquartered in the South or West (adjusted composite, 0.28 [95% CI, 0.14-0.43] for the South and 0.22 [95% CI, 0.02-0.42] for the West compared with -0.09 [95% CI, -0.26 to 0.08] for the Northeast and -0.44 [95% CI, -0.60 to -0.28] for the Midwest; P < .001), and serving areas with more health care spending (adjusted composite, 0.23 [95% CI, 0.11-0.35] for areas above the median level of spending vs -0.24 [95% CI, -0.36 to -0.12] for areas below the median level of spending; P < .001).

Conclusions and Relevance

The findings of this large cohort study suggest that system-level measurement and reporting of specific low-value services is feasible, enables cross-system comparisons, and reveals a broad range of low-value care use.

Does Superior Bone Health Promote a Longer Lifespan?

INTRODUCTION

Public health achievements throughout the last century have resulted in a steady increase in life expectancy. An emergent subset has distinguished themselves, living well beyond the ninth decade by avoiding or delaying the onset of most age-related diseases, including bone diseases and fractures. In this study, we evaluated the bone health of the oldest community-dwelling individuals living in rural Arkansas.

METHODS

299 patients aged ≥90 years were retrospectively reviewed for recorded fractures within 12 years prior to the investigation period. Records were also examined for medications and test results pertinent to bone health, including thyroid stimulating hormone, vitamin D levels, hematocrit, hemoglobin, body mass index, and bone densitometric values.

RESULTS

68 patients (23%) had at least one fracture documented, and 15 had >1 fracture. 40% of patients with fractures had osteoporosis and 28% had osteopenia, respectively. 232 patients (78%) had no documented fractures, and of these, only 18% had osteoporosis and 16% had osteopenia. No significant clinical markers were found among the very old to explain the relatively low occurrence of fractures.

CONCLUSIONS

Patients over 90 years of age had an overall low prevalence of fractures and relative preservation of bone health, suggesting a preserved bone molecular profile in these individuals. Epigenetic factors and activity levels might also have favorably affected bone health. The low percentage of osteoporosis and fractures likely reduced the morbidity and mortality in this population, potentially contributing to their overall longevity.

Population-Based Signals of Antidepressant Drug Interactions Associated With Unintentional Traumatic Injury

Antidepressants are very widely used and associated with traumatic injury, yet little is known about their potential for harmful drug interactions. We aimed to identify potential drug interaction signals by assessing concomitant medications (precipitant drugs) taken with individual antidepressants (object drugs) that were associated with unintentional traumatic injury. We conducted pharmacoepidemiologic screening of 2000-2015 Optum Clinformatics data, identifying drug interaction signals by performing self-controlled case series studies for antidepressant + precipitant pairs and injury. We included persons aged 16-90 years codispensed an antidepressant and ≥ 1 precipitant drug(s), with an injury during antidepressant therapy. We classified antidepressant person-days as either precipitant-exposed or precipitant-unexposed. The outcome was an emergency department or inpatient discharge diagnosis for unintentional traumatic injury. We used conditional Poisson regression to calculate confounder adjusted rate ratios (RRs) and accounted for multiple estimation via semi-Bayes shrinkage. We identified 330,884 new users of antidepressants who experienced an injury. Among such persons, we studied concomitant use of 7,953 antidepressant + precipitant pairs. Two hundred fifty-six (3.2%) pairs were positively associated with injury and deemed potential drug interaction signals; 22 of these signals had adjusted RRs > 2.00. Adjusted RRs ranged from 1.06 (95% confidence interval: 1.00-1.12, P = 0.04) for citalopram + gabapentin to 3.06 (1.42-6.60) for nefazodone + levonorgestrel. Sixty-five (25.4%) signals are currently reported in a seminal drug interaction knowledgebase. We identified numerous new population-based signals of antidepressant drug interactions associated with unintentional traumatic injury. Future studies, intended to test hypotheses, should confirm or refute these potential interactions.

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.

Helicobacter pylori Related Diseases and Osteoporotic Fractures (Narrative Review)

Osteoporosis (OP) and osteoporotic fractures (OFs) are common multifactorial and heterogenic disorders of increasing incidence. Helicobacter pylori (H.p.) colonizes the stomach approximately in half of the world's population, causes gastroduodenal diseases and is prevalent in numerous extra-digestive diseases known to be associated with OP/OF. The studies regarding relationship between H.p. infection (HPI) and OP/OFs are inconsistent. The current review summarizes the relevant literature on the potential role of HPI in OP, falls and OFs and highlights the reasons for controversies in the publications. In the first section, after a brief overview of HPI biological features, we analyze the studies evaluating the association of HPI and bone status. The second part includes data on the prevalence of OP/OFs in HPI-induced gastroduodenal diseases (peptic ulcer, chronic/atrophic gastritis and cancer) and the effects of acid-suppressive drugs. In the next section, we discuss the possible contribution of HPI-associated extra-digestive diseases and medications to OP/OF, focusing on conditions affecting both bone homeostasis and predisposing to falls. In the last section, we describe clinical implications of accumulated data on HPI as a co-factor of OP/OF and present a feasible five-step algorithm for OP/OF risk assessment and management in regard to HPI, emphasizing the importance of an integrative (but differentiated) holistic approach. Increased awareness about the consequences of HPI linked to OP/OF can aid early detection and management. Further research on the HPI-OP/OF relationship is needed to close current knowledge gaps and improve clinical management of both OP/OF and HPI-related disorders.