A dataset quantifying polypharmacy in the United States

Estimating the impact of physician risky-prescribing on the network structure underlying physician shared-patient relationships

Social network analysis and shared-patient physician networks have become effective ways of studying physician collaborations. Assortative mixing or "homophily" is the network phenomenon whereby the propensity for similar individuals to form ties is greater than for dissimilar individuals. Motivated by the public health concern of risky-prescribing among older patients in the United States, we develop network models and tests involving novel network measures to study whether there is evidence of homophily in prescribing and deprescribing in the specific shared-patient network of physicians linked to the US state of Ohio in 2014. Evidence of homophily in risky-prescribing would imply that prescribing behaviors help shape physician networks and would suggest strategies for interventions seeking to reduce risky-prescribing (e.g., strategies to directly reduce risky prescribing might be most effective if applied as group interventions to risky prescribing physicians connected through the network and the connections between these physicians could be targeted by tie dissolution interventions as an indirect way of reducing risky prescribing). Furthermore, if such effects varied depending on the structural features of a physician's position in the network (e.g., by whether or not they are involved in cliques-groups of actors that are fully connected to each other-such as closed triangles in the case of three actors), this would further strengthen the case for targeting groups of physicians involved in risky prescribing and the network connections between them for interventions. Using accompanying Medicare Part D data, we converted patient longitudinal prescription receipts into novel measures of the intensity of each physician's risky-prescribing. Exponential random graph models were used to simultaneously estimate the importance of homophily in prescribing and deprescribing in the network beyond the characteristics of physician specialty (or other metadata) and network-derived features. In addition, novel network measures were introduced to allow homophily to be characterized in relation to specific triadic (three-actor) structural configurations in the network with associated non-parametric randomization tests to evaluate their statistical significance in the network against the null hypothesis of no such phenomena. We found physician homophily in prescribing and deprescribing. We also found that physicians exhibited within-triad homophily in risky-prescribing, with the prevalence of homophilic triads significantly higher than expected by chance absent homophily. These results may explain why communities of prescribers emerge and evolve, helping to justify group-level prescriber interventions. The methodology may be applied, adapted or generalized to study homophily and its generalizations on other network and attribute combinations involving analogous shared-patient networks and more generally using other kinds of network data underlying other kinds of social phenomena.

Fall Outcomes in Older Adults Following Benzodiazepine/Z-Drug Discontinuation: A Retrospective Cohort Study in an Academic Health System

BACKGROUND

Benzodiazepines and z-drugs increase the fall risk in older adults. There is a lack of real-world data examining the association between falls and deprescribing medications.

OBJECTIVE

In a retrospective cohort study of older adults with chronic benzodiazepine or z-drug use receiving care at an academic health system from January 2017 to December 2020, we explored the association between medication discontinuation and falls.

METHODS

Chronic use was defined as ≥ 3 medication dispensings and cumulative days' supply ≥ 45 days within 100 days in 2018. Discontinuation was defined as a dispensing gap of ≥ 180 days within 1 year of chronic use eligibility, with a secondary definition requiring a gap of ≥ 90 days. Non-discontinuers (n = 524) were matched 4:1 to discontinuers (n = 131) if they had a fill in the same month as the matched discontinuation index date. The association between discontinuation and a fall during 2.25-year follow-up was assessed using Cox proportional hazards models. The analysis was repeated using a gap of ≥ 90 days (n = 279 discontinuers; 1116 matched non-discontinuers).

RESULTS

The cumulative incidence of falls-related acute visits was 6.9% for discontinuers and 9.7% for non-discontinuers [adjusted hazard ratio (HR) 0.65, 95% confidence interval (CI) 0.31-1.31]. Using the 90-day-gap definition, the cumulative incidence was 9.3% for discontinuers and 8.5% for non-discontinuers (HR 1.12, 95% CI 0.70-1.77).

CONCLUSION

Benzodiazepine/z-drug discontinuation was not associated with reduced risk of falls. However, the relationship between discontinuation and falls varies depending on the definitions used. It is essential to examine different discontinuation definitions in larger studies while considering other relevant clinical outcomes.

Descriptive analysis on disproportionate medication errors and associated patient characteristics in the Food and Drug Administration's Adverse Event Reporting System

BACKGROUND

Medication errors (MEs) are a major public health concern which can cause harm and financial burden within the healthcare system. Characterizing MEs is crucial to develop strategies to mitigate MEs in the future.

OBJECTIVES

To characterize ME-associated reports, and investigate signals of disproportionate reporting (SDRs) on MEs in the Food and Drug Administration's Adverse Event Reporting System (FAERS).

METHODS

FAERS data from 2004 to 2020 was used. ME reports were identified with the narrow Standardised Medical Dictionary for Regulatory Activities® (MedDRA®) Query (SMQ) for MEs. Drug names were converted to the Anatomical Therapeutic Chemical (ATC) classification. SDRs were investigated using the reporting odds ratio (ROR).

RESULTS

In total 488 470 ME reports were identified, mostly (59%) submitted by consumers and mainly (55%) associated with females. Median age at time of ME was 57 years (interquartile range: 37-70 years). Approximately 1 out of 3 reports stated a serious health outcome. The most prevalent reported drug class was "antineoplastic and immunomodulating agents" (25%). The most common ME type was "incorrect dose administered" (9%). Of the 1659 SDRs obtained, adalimumab was the most common drug associated with MEs, noting a ROR of 1.22 (95% confidence interval: 1.21-1.24).

CONCLUSION

This study offers a first of its kind characterization of MEs as reported to FAERS. Reported MEs are frequent and may be associated with serious health outcomes. This FAERS data provides insights on ME prevention and offers possibilities for additional in-depth analyses.

Chronic Aripiprazole and Trazodone Polypharmacy Effects on Systemic and Brain Cholesterol Biosynthesis

The concurrent use of several medications is a common practice in the treatment of complex psychiatric conditions. One such commonly used combination is aripiprazole (ARI), an antipsychotic, and trazodone (TRZ), an antidepressant. In addition to their effects on dopamine and serotonin systems, both of these compounds are inhibitors of the 7-dehydrocholesterol reductase (DHCR7) enzyme. To evaluate the systemic and nervous system distribution of ARI and TRZ and their effects on cholesterol biosynthesis, adult mice were treated with both ARI and TRZ for 21 days. The parent drugs, their metabolites, and sterols were analyzed in the brain and various organs of mice using LC-MS/MS. The analyses revealed that ARI, TRZ, and their metabolites were readily detectable in the brain and organs, leading to changes in the sterol profile. The levels of medications, their metabolites, and sterols differed across tissues with notable sex differences. Female mice showed higher turnover of ARI and more cholesterol clearance in the brain, with several post-lanosterol intermediates significantly altered. In addition to interfering with sterol biosynthesis, ARI and TRZ exposure led to decreased ionized calcium-binding adaptor molecule 1 (IBA1) and increased DHCR7 protein expression in the cortex. Changes in sterol profile have been also identified in the spleen, liver, and serum, underscoring the systemic effect of ARI and TRZ on sterol biosynthesis. Long-term use of concurrent ARI and TRZ warrants further studies to fully evaluate the lasting consequences of altered sterol biosynthesis on the whole body.

Oral Implications of Polypharmacy in Older Adults

Over the next several decades, rates of aged populations will increase rapidly. These populations are susceptible to multimorbidities and polypharmacy (concurrently, prescribed 5 or more medications). Many medications have side effects that manifest orally. Therefore, it essential to possess current pharmacologic knowledge to diagnose and treat oral implications of commonly prescribed medications. This article details common medication-induced oral lesions and patient assessment of risk factors for polypharmacy and provides a template to integrate medication reconciliation into dental clinical practice.

Identification of polypharmacy patterns in new-users of metformin using the Apriori algorithm: A novel framework for investigating concomitant drug utilization through association rule mining

PURPOSE

With increased concomitant chronic diseases in type 2 diabetes mellitus (T2DM), the use of multiple drugs increases as well as the risk of drug-drug interactions (DDI) and adverse drug reactions (ADR). Nevertheless, how medication patterns vary in T2DM patients across different sex and age groups is unclear. This study aims to identify and quantify common drug combinations in first-time metformin users with polypharmacy (≥5 co-medications).

METHODS

New users of metformin were identified from the IQVIA Medical Research Data incorporating data from THIN, A Cegedim Database (2016-2019). A descriptive cohort study explored prescription patterns in patients with polypharmacy. The Apriori algorithm, used to find frequent item-sets in databases, was first-time applied to identify and quantify drug combinations of up to seven drugs to investigate potential harmful polypharmacy patterns.

RESULTS

The cohort included 34 169 new-users of metformin, of which 20 854 (61.0%) received polypharmacy. Atorvastatin was the most frequently co-prescribed drug with metformin overall (38.7%), in women (34.3%) and men (42.6%). In the stratified analysis, a higher proportion of women received polypharmacy (65.6%) compared to men (57.4%). Moreover, the proportion of patients receiving polypharmacy increased with age (18-39 years = 30.4%, 40-59 years = 50.5%, 60-74 years = 70.9%, and ≥75 years = 84.3%).

CONCLUSION

This study is the first to identify and quantify commonly prescribed combinations of drugs compounds in patients with polypharmacy using the Apriori algorithm. The high polypharmacy prevalence at all strata indicates the need to optimize polypharmacy to minimize DDI and ADR.

Polypharmacy and Major Adverse Events in Atrial Fibrillation

ABSTRACT

Patients with atrial fibrillation (AF) often receive multiple medications daily. The purpose of this study was to examine the prognostic implications of polypharmacy in patients with AF. This is a retrospective post hoc analysis of 1113 AF patients, enrolled in a randomized trial during an acute hospitalization (MISOAC-AF, NCT02941978). The presence of polypharmacy (use of >4 drugs daily) was assessed at hospital discharge. Regression analyses were performed to identify clinical predictors of polypharmacy and compare the outcomes of patients with or without confirmed polypharmacy. The coprimary outcomes were all-cause and cardiovascular (CV) mortality. Among patients with polypharmacy, the difference in the risk of mortality was also assessed per each added drug as a numeric variable. Polypharmacy was found in 36.9% of participants. Dyslipidemia, coronary artery disease, lower left ventricular ejection fraction, and higher glomerular filtration rates were independent predictors of polypharmacy. Polypharmacy was an independent predictor for all-cause death (adjusted hazard ratio [aHR]: 1.29, 95% confidence interval [CI]: 1.01-1.64) and CV death (aHR: 1.39, 95% CI: 1.05-1.84). Among patients with polypharmacy, each additional concomitant medication was independently associated with a 4% increased risk of all-cause mortality (aHR = 1.04, 95% CI: 1.00-1.08) and a 5% increased risk of CV mortality (aHR = 1.05, 95% CI: 1.00-1.10). Polypharmacy was common among patients with AF hospitalized in a tertiary hospital and was incrementally associated with higher rates of mortality.

Higher comorbidity burden is associated with lower self-reported quality of life after stroke

Introduction

This study assesses the association of comorbidity burden and polypharmacy with self-reported quality of life after stroke.

Patients and methods

We performed a post-hoc analysis of a prospective, single-center, observational study of outcome evaluation by patient-reported outcome measures in stroke clinical practice. Consecutive patients with acute ischemic stroke (AIS) were enrolled and self-reported health-related quality of life (HrQoL) was assessed 90 days after acute stroke using the Patient-reported Outcomes Measurement Information System 10-Question Short-Form (PROMIS-10). Comorbidities at baseline were assessed by the Charlson Comorbidity Index (CCI). Polypharmacy was defined as medication intake of ≥5 at baseline. We used linear regression analysis to study the association of CCI, polypharmacy and other clinical covariates with HrQoL after stroke.

Results

Of 781 patients (median age 76 years, 48.4% female) enrolled, 30.2% had a CCI Score ≥2, and 31.5% presented with polypharmacy. At follow up, 71 (9.1%) had died. In 409 (52.4%) reached for outcome evaluation, Global Physical Health T-Score was 43.8 ± 10 and Global Mental Health T-Score was 43.5 ± 8.76, indicating lower HrQoL than the average population. A CCI Score ≥2, higher NIHSS Score, female sex, dependency on others for dressing, toileting and mobility before index stroke, atrial fibrillation and hypertension were independent predictors of worse physical and mental health outcomes, while polypharmacy was not.

Conclusion

In patients with AIS, high comorbidity burden and polypharmacy are frequent. Comorbidity burden at admission is independently associated with worse self-reported physical and mental health three months after stroke.

Preferences for pharmacogenomic testing in polypharmacy patients: a discrete choice experiment

Aim: To elicit preferences for pharmacogenomic (PGx) testing in polypharmacy patients. Materials & methods: A face-to-face discrete choice experiment survey was designed and administered to adult polypharmacy patients recruited at a local retail pharmacy in Albuquerque (NM, USA). Results: A total of 128 eligible polypharmacy patients completed the discrete choice experiment survey and significantly preferred a PGx test with lower cost, better confidentiality and higher certainty of identifying best medication/dose and side effects and one that can be used to advocate for their treatment needs (all p < 0.01). Conclusion: This is the first study eliciting preferences for PGx testing among polypharmacy patients. The study found most polypharmacy patients were willing to take a PGx test and their preferences were mostly influenced by test cost.

Patients' attitudes toward deprescribing and their experiences communicating with clinicians and pharmacists

Purpose:

Developing effective deprescribing interventions relies on understanding attitudes, beliefs, and communication challenges of those involved in the deprescribing decision-making process, including the patient, the primary care clinician, and the pharmacist. The objective of this study was to assess patients’ beliefs and attitudes and identify facilitators of and barriers to deprescribing.

Methods:

As part of a larger study, we recruited patients ⩾18 years of age taking ⩾3 chronic medications. Participants were recruited from retail pharmacies associated with the University of Kentucky HealthCare system. They completed an electronic survey that included demographic information, questions about communication with their primary care clinician and pharmacists, and the revised Patients’ Attitudes Toward Deprescribing (rPATD) questionnaire.

Results:

Our analyses included 103 participants (n = 65 identified as female and n = 74 as White/Caucasian) with a mean age of 50.4 years [standard deviation (SD) = 15.5]. Participants reported taking an average of 8.4 daily medications (SD = 6.1). Most participants reported effective communication with clinicians and pharmacists (66.9%) and expressed willingness to stop one of their medications if their clinician said it was possible (83.5%). Predictors of willingness to accept deprescribing were older age [odds ratio (OR) = 2.99, 95% confidence interval (CI) = 1.45–6.2], college/graduate degree (OR = 55.25, 95% CI = 5.74–531.4), perceiving medications as less appropriate (OR = 8.99, 95% CI = 1.1–73.62), and perceived effectiveness of communication with the clinician or pharmacist (OR = 4.56, 95% CI = 0.85–24.35).

Conclusion:

Adults taking ⩾3 chronic medications expressed high willingness to accept deprescribing of medications when their doctor said it was possible. Targeted strategies to facilitate communication within the patient–primary care clinician–pharmacist triad that consider patient characteristics such as age and education level may be necessary ingredients for developing successful deprescribing interventions.

Plain Language Summary

Are patients willing to accept stopping medications?

Sometimes, medicines that a patient takes regularly become inappropriate. In other words, the risks of adverse effects might be greater than a medicine’s potential benefits. The decision to stop such medicines should involve the patient and consider their preferences. We surveyed a group of patients taking multiple medicines to see how they felt about having those medicines stopped. We also asked patients whether and how much they talk to their primary care clinician and pharmacists about their medicines. To qualify for this study, patients had to be at least 18 years old and to take three or more medicines daily; they also needed to speak English. Participants provided demographic information and answered questions about their medicines, their communication with primary care clinicians and pharmacists, and their feelings about having one or more of their medicines stopped. We recruited 107 people and were able to use responses from 103 of them. Their average age was 50 years; 65 of them identified as female, and 75 identified as White/Caucasian. Most of our participants mentioned having conversations with primary care clinicians and pharmacists and said they would be willing to stop a medication if their clinician said it was possible. Older participants, those with more years of education, those who thought their medications might lead to side effects, and those who communicated with their clinician or pharmacists were more willing to have one of their medicines stopped.

Our results indicate that patient characteristics and communication with clinicians and pharmacists are factors to consider when designing interventions to reduce the use of inappropriate medicines.

Individual and simultaneous treatment with antipsychotic aripiprazole and antidepressant trazodone inhibit sterol biosynthesis in the adult brain

Polypharmacy, or the simultaneous use of multiple drugs to treat a single patient, is a common practice in psychiatry. Unfortunately, data on the health effects of commonly used combinations of medications are very limited. In this study, we therefore investigated the effects and interactions between two commonly prescribed psychotropic medications with sterol inhibiting side effects, trazodone (TRZ), an antidepressant, and aripiprazole (ARI), an antipsychotic. In vitro cell culture experiments revealed that both medications alone disrupted neuronal and astroglial sterol biosynthesis in dose-dependent manners. Furthermore, when ARI and TRZ were combined, exposure resulted in an additive 7-dehydrocholesterol (7-DHC) increase, as well as desmosterol (DES) and cholesterol decreases in both cell types. In adult mice, at baseline, we found that the three investigated sterols showed significant differences in distribution across the eight assessed brain regions. Furthermore, experimental mice treated with ARI or TRZ, or a combination of both medications for 8 days, showed strong sterol disruption across all brain regions. We show ARI or TRZ alone elevated 7-DHC and decreased DES levels in all brain regions, but with regional differences. However, the combined utilization of these two medications for 8 days did not lead to additive changes in sterol disturbances. Based on the complex roles of 7-DHC derived oxysterols, we conclude that individual and potentially simultaneous use of medications with sterol biosynthesis-inhibiting properties might have undesired side effects on the adult brain, with as yet unknown long-term consequences on mental or physical health.

Anti-DDI Resource: A Dataset for Potential Negative Reported Interaction Combinations to Improve Medical Research and Decision-Making

Potential drug-drug interactions (DDIs) are a core concern across medical decision support systems. Among healthcare practitioners, the common practice for screening these interactions is via computer software. However, as real-world negative reporting is missing, counterexamples that serve as contradictory evidence may exist. In this study, we have developed an anti-DDI resource, a set of drug combinations having negative reported interactions. This resource was created from a set of the top 200 most-used drugs, resulting in 14365 prospective negative reported DDI pairs. During analysis and filtering, 2110 DDIs (14.69%) were found in publicly free DDI resources, another 11130 (77.48%) were filtered by a rule-based inference engine incorporating ten mechanisms of interaction, and 208 were identified through commercial resources. Additionally, 90 pairs were removed due to recent FDA approvals or being unapplicable in clinical use. The final set of 827 drug pairs represents combinations potentially having negative reported interactions. The anti-DDI resource is intended to provide a distinctly different direction from the state of the art and establish a ground focus more centered on the evaluation and utilization of existing knowledge for performing thorough assessments. Our negative reported DDIs resource shall provide healthcare practitioners with a level of certainty on DDIs that is worth investigating.

An Atypical Case of Extreme Polypharmacy

A commonly reported definition of polypharmacy is the numerical definition of 5 or more medications daily, and definitions have ranged from 2 or more to 11 or more medications. In this case report, an extreme case of polypharmacy is presented, highlighted by the inordinate number of drugs used over time throughout the patient’s care. A 48-year-old African American female with multiple comorbidities experienced a serious adverse drug event (ADE) prompting reporting to MedWatch, the US Food and Drug Administration’s adverse drug event reporting system. The patient’s concomitant medications included 146 drug entities, across 82 therapeutic drug categories. It is apparent that the greatest influence on the occurrence of polypharmacy was the presence of multiple comorbidities, and treatment centered around addressing each morbidity with drug therapy. This case illustrates the insidious nature of polypharmacy and raises questions as to the appropriate progression and limits on the use of multiple medications.

Comparing Effects of Polypharmacy on Inflammatory Profiles in Older Adults and Mice: Implications for Translational Ageing Research

Aging and multimorbidity are associated with inflammation. Polypharmacy is common in older people with multimorbidity. Given the potential for interactions between polypharmacy and inflammation, the relationship between inflammation and polypharmacy were studied in older adults with multimorbidity and in healthy aging mice. A cross-sectional analysis of data from the 5-year wave of the Concord Health and Ageing in Men Project, a population-based study of community-dwelling men aged ≥70 years. Serum concentrations of 27 cytokines were measured using a multiplex immunoassay. Associations between polypharmacy (≥5 medications) and cytokines were evaluated using multivariable linear regression adjusting for age, frailty, comorbidities, and individual drug classes. Interaction between polypharmacy and Drug Burden Index (DBI―drugs with anticholinergic and sedative effects) was analyzed. Effects of polypharmacy and DBI on serum levels of 23 cytokines were determined in aging male mice treated with chronic polypharmacy or control. Compared to the nonpolypharmacy group (n = 495), CHAMP participants with polypharmacy (n = 409) had significantly higher concentrations of IL-8, IL-6, CCL3, Eotaxin, IL-1ra, IL-1β, IP-10, and lower concentrations of anti-inflammatory cytokine IL-4. In fully-adjusted multivariable models, polypharmacy was positively associated with concentrations of IL-8 and CCL3. There were no significant differences in inflammatory profiles between control and polypharmacy-treated mice. The relationship was not influenced by DBI in men or in mice. Inflammatory markers associated with polypharmacy in older adults were not seen in healthy aged mice administered polypharmacy, and may be related to underlying diseases. The polypharmacy mouse model provides opportunities for mechanistic investigations in translational research.

Frailty and Determinants of Health Among Older Adults in the United States 2011-2016

OBJECTIVE

To characterize frailty phenotype in a representative cohort of older Americans and examine determinants of health factors.

METHODS

Retrospective analysis of data from 5,553 adults ≥60 years old in the 2011-2016 cross-sectional National Health and Nutrition Examination Survey (NHANES). World Health Organization "Determinants of Health" conceptual model was used to prioritize variables for multinomial logistic regression for the outcome of modified Fried frailty phenotype.

RESULTS

482 participants (9%) were frail and 2432 (44%) prefrail. Four factors were highly associated with frailty: difficulty with ≥1 activity of daily living (77%; OR 24.81 p < 0.01), ≥2 hospitalizations in the previous year (17%, OR 3.94 p < 0.01), having >2 comorbidities (27%; OR 3.33 p < 0.01), and polypharmacy (66%; OR 2.38 p < 0.01).

DISCUSSION

A modified Fried frailty assessment incorporating five self-reported criteria may be useful as a rapid nursing screen in low-resource settings. These assessments can streamline nursing care coordination and case management activities, thereby facilitating targeted frailty interventions to support healthy aging in vulnerable populations.

Polypharmacy Management in the Older Adults: A Scoping Review of Available Interventions

Background: Polypharmacy paves the way for non-adherence, adverse drug reactions, negative health outcomes, increased use of healthcare services and rising costs. Since it is most prevalent in the older adults, there is an urgent need for introducing effective strategies to prevent and manage the problem in this age group. Purpose: To perform a scoping review critically analysing the available literature referring to the issue of polypharmacy management in the older adults and provide narrative summary. Data sources: Articles published between January 2010-March 2018 indexed in CINHAL, EMBASE and PubMed addressing polypharmacy management in the older adults. Results: Our search identified 49 papers. Among the identified interventions, the most often recommended ones involved various types of drug reviews based on either implicit or explicit criteria. Implicit criteria-based approaches are used infrequently due to their subjectivity, and limited implementability. Most of the publications advocate the use of explicit criteria, such as e.g. STOPP/START, Beers and Medication Appropriateness Index (MAI). However, their applicability is also limited due to long lists of potentially inappropriate medications covered. To overcome this obstacle, such instruments are often embedded in computerised clinical decision support systems. Conclusion: Multiple approaches towards polypharmacy management are advised in current literature. They vary in terms of their complexity, applicability and usability, and no "gold standard" is identifiable. For practical reasons, explicit criteria-based drug reviews seem to be advisable. Having in mind that in general, polypharmacy management in the older adults is underused, both individual stakeholders, as well as policymakers should strengthen their efforts to promote these activities more strongly.

Quantifying the Severity of Adverse Drug Reactions Using Social Media: Network Analysis

BACKGROUND

Adverse drug reactions (ADRs) affect the health of hundreds of thousands of individuals annually in the United States, with associated costs of hundreds of billions of dollars. The monitoring and analysis of the severity of ADRs is limited by the current qualitative and categorical systems of severity classification. Previous efforts have generated quantitative estimates for a subset of ADRs but were limited in scope because of the time and costs associated with the efforts.

OBJECTIVE

The aim of this study is to increase the number of ADRs for which there are quantitative severity estimates while improving the quality of these severity estimates.

METHODS

We present a semisupervised approach that estimates ADR severity by using social media word embeddings to construct a lexical network of ADRs and perform label propagation. We used this method to estimate the severity of 28,113 ADRs, representing 12,198 unique ADR concepts from the Medical Dictionary for Regulatory Activities.

RESULTS

Our Severity of Adverse Events Derived from Reddit (SAEDR) scores have good correlations with real-world outcomes. The SAEDR scores had Spearman correlations of 0.595, 0.633, and -0.748 for death, serious outcome, and no outcome, respectively, with ADR case outcomes in the Food and Drug Administration Adverse Event Reporting System. We investigated different methods for defining initial seed term sets and evaluated their impact on the severity estimates. We analyzed severity distributions for ADRs based on their appearance in boxed warning drug label sections, as well as for ADRs with sex-specific associations. We found that ADRs discovered in the postmarketing period had significantly greater severity than those discovered during the clinical trial (P<.001). We created quantitative drug-risk profile (DRIP) scores for 968 drugs that had a Spearman correlation of 0.377 with drugs ranked by the Food and Drug Administration Adverse Event Reporting System cases resulting in death, where the given drug was the primary suspect.

CONCLUSIONS

Our SAEDR and DRIP scores are well correlated with the real-world outcomes of the entities they represent and have demonstrated utility in pharmacovigilance research. We make the SAEDR scores for 12,198 ADRs and the DRIP scores for 968 drugs publicly available to enable more quantitative analysis of pharmacovigilance data.

Aging and Women's Health: An Update from the National Institute on Aging

Older women outnumber older men in the United States and may experience a range of physical, cognitive, social, and emotional challenges. The "Geriatric 5 Ms"-Multicomplexity, Mind, Mobility, Medications, and What Matters Most-provide a useful framework for understanding and addressing the health and wellness needs of older women in the clinic. The National Institute on Aging, a component of the US National Institutes of Health, supports a vibrant program of aging research with many immediately implementable findings and useful resources for the busy clinician.

Caffeic Acid on Metabolic Syndrome: A Review

Metabolic syndrome (MetS) is a constellation of risk factors that may lead to a more sinister disease. Raised blood pressure, dyslipidemia in the form of elevated triglycerides and lowered high-density lipoprotein cholesterol, raised fasting glucose, and central obesity are the risk factors that could lead to full-blown diabetes, heart disease, and many others. With increasing sedentary lifestyles, coupled with the current COVID-19 pandemic, the numbers of people affected with MetS will be expected to grow in the coming years. While keeping these factors checked with the polypharmacy available currently, there is no single strategy that can halt or minimize the effect of MetS to patients. This opens the door for a more natural way of controlling the disease. Caffeic acid (CA) is a phytonutrient belonging to the flavonoids that can be found in abundance in plants, fruits, and vegetables. CA possesses a wide range of beneficial properties from antioxidant, immunomodulatory, antimicrobial, neuroprotective, antianxiolytic, antiproliferative, and anti-inflammatory activities. This review discusses the current discovery of the effect of CA against MetS.

A Case Series of Etizolam in Opioid-Related Deaths

Etizolam is a novel psychoactive substance and novel benzodiazepine of the thienotriazolodiazepine class, which has recently seen an increasing trend in use worldwide. We report a case series of 10 decedents with etizolam and opioids in their systems. Death investigation, expanded toxicology and medical investigation information were included for contextualization of etizolam in death. Etizolam was detected and confirmed within peripheral and cardiac blood, urine, vitreous humor and, in one case, gastric fluid, by liquid chromatography-tandem mass spectrometry and liquid chromatography-quadrupole time of flight mass spectrometry methodologies. Death investigation indicated nonmedical use of most drugs. Medical investigation commonly noted pulmonary edema, cardiomegaly and cerebral swelling. The majority of the decedents appeared to be unaware of the presence of etizolam and succumbed to the mixed drug toxicity of their routine depressant and narcotic analgesic drug of abuse in combination with etizolam. Etizolam use continues to be observed and poses as a potentially lethal contribution to multiple drug toxicity, especially in the age of the opioid crisis. Assessment of analytes like etizolam requires up-to-date methodologies and vigilance in testing to better characterize the toxicology and interpret the contribution to death.

Practical considerations for creating a strategic and proactive clinical safety and pharmacovigilance organization for the future

BACKGROUND:

In 2012, Patient Safety (PS) in AstraZeneca was facing a situation with multiple challenges, scientifically and structurally.

OBJECTIVE:

To meet these and support AstraZeneca’s ambition to return to growth after years of patent expiry, we undertook a project to fundamentally revisit ways of working to create an organisation set up to provide strategic safety in support of drug project decision-making.

METHOD:

In this paper, we describe the challenges we faced, the project to deliver changes to respond to them, and the methodology used. The project had two main components: creating a new operating model and simplifying the procedural framework.

RESULTS:

It was delivered in a focused effort by internal PS resources with cross-functional input. The framework simplification resulted in a 71% reduction in procedural documents and a survey of PS staff revealed an increase in satisfaction of 10%–20% across all scores.

CONCLUSIONS:

With >3 years of observation time, this project has provided AstraZeneca with a PS organisation able to provide strategic safety, supporting successful portfolio delivery, while ensuring patient safety and maintaining compliance with global pharmacovigilance regulations. It has driven efficiency and set the foundation for continued organisational evolution to meet future business needs in an everchanging environment.

Economic burden of rivaroxaban and warfarin among nonvalvular atrial fibrillation patients with obesity and polypharmacy

Aim: Evaluate healthcare resource utilization (HRU) and costs associated with rivaroxaban and warfarin among nonvalvular atrial fibrillation (NVAF) patients with obesity and polypharmacy. Materials & methods: IQVIA PharMetrics^® Plus (January 2010-September 2019) data were used to identify NVAF patients with obesity (BMI ≥30 kg/m²) and polypharmacy (≥5 medications) initiated on rivaroxaban or warfarin. Weighted rate ratios and cost differences were evaluated post-treatment initiation. Results: Rivaroxaban was associated with significantly lower rates of HRU, including hospitalization (rate ratio [95% CI]: 0.83 [0.77, 0.92]). Medical costs were reduced in rivaroxaban users (difference [95% CI]: -US$6868 [-US$10,628, -US$2954]), resulting in significantly lower total healthcare costs compared with warfarin users (difference [95% CI]: -US$4433 [-US$8136, -US$582]). Conclusion: Rivaroxaban was associated with lower HRU and costs compared with warfarin among NVAF patients with obesity and polypharmacy in commercially insured US patients.

Polypharmacy in chronic neurological diseases: Multiple sclerosis, dementia and Parkinson's disease

Polypharmacy is an important aspect of medication management and particularly affects elderly and chronically ill people. Patients with dementia, Parkinson's disease (PD) or multiple sclerosis (MS) are at high risk for multimedication due to their complex symptomatology. Our aim was to provide an overview of different definitions of polypharmacy and to present the current state of research on polypharmacy in patients with dementia, PD or MS. The most common definition of polypharmacy in the literature is the concomitant use of ≥5 medications (quantitative definition approach). Polypharmacy rates of up to >50% have been reported for patients with dementia, PD or MS, although MS patients are on average significantly younger than those with dementia or PD. The main predictor of polypharmacy is the complex symptom profile of these neurological disorders. Potentially inappropriate medication (PIM), drug-drug interactions, poor treatment adherence, severe disease course, cognitive impairment, hospitalisation, poor quality of life, frailty and mortality have been associated with polypharmacy in patients with dementia, PD or MS. For patients with polypharmacy, either the avoidance of PIM (selective deprescribing) or the substitution of PIM with more suitable drugs (appropriate polypharmacy) is recommended to achieve a more effective therapeutic management.

Comparative Effectiveness and Safety of Rivaroxaban and Warfarin Among Nonvalvular Atrial Fibrillation (NVAF) Patients with Obesity and Polypharmacy in the United States (US)

Introduction

Current evidence indicates that rivaroxaban may be a safe and effective alternative to warfarin among patients with nonvalvular atrial fibrillation (NVAF) and obesity. However, evidence regarding the impact of polypharmacy is limited in this population. The present study evaluated the effectiveness and safety of rivaroxaban versus warfarin among NVAF patients with obesity and polypharmacy in the US.

Methods

De-identified health insurance claims data from the IQVIA PharMetrics^® Plus data (01/2010–09/2019) were used to identify NVAF patients with obesity (BMI ≥ 30 kg/m²) and polypharmacy (≥ 5 medications) initiated on rivaroxaban or warfarin. Inverse probability of treatment weighting (IPTW) was used to adjust for imbalances between groups. Study outcomes were evaluated up to 36 months post-treatment initiation and included the composite of stroke or systemic embolism (stroke/SE) and major bleeding. Subgroup analyses were conducted stratified by polypharmacy category (5–9 or ≥ 10 medications). Outcomes were assessed using Cox proportional hazards regression models with hazard ratios (HR) and 95% confidence intervals (CIs).

Results

A total of 7000 and 3920 NVAF patients with obesity and polypharmacy were initiated on rivaroxaban and warfarin, respectively. At 36 months of follow-up, rivaroxaban was associated with a 29% lower risk of stroke/SE relative to warfarin (HR 0.71, 95% CI 0.57, 0.90). Major bleeding risk was not significantly different among rivaroxaban- compared to warfarin-treated patients (HR 0.85, 95% CI 0.70, 1.03). Subgroup analyses yielded results that were largely consistent with the overall polypharmacy analysis.

Conclusions

These results suggest that rivaroxaban is an effective and safe treatment option among NVAF patients with obesity and polypharmacy in a commercially-insured US population.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12325-021-01746-2.

Implementation of Pharmacogenomics and Artificial Intelligence Tools for Chronic Disease Management in Primary Care Setting

Chronic disease management often requires use of multiple drug regimens that lead to polypharmacy challenges and suboptimal utilization of healthcare services. While the rising costs and healthcare utilization associated with polypharmacy and drug interactions have been well documented, effective tools to address these challenges remain elusive. Emerging evidence that proactive medication management, combined with pharmacogenomic testing, can lead to improved health outcomes and reduced cost burdens may help to address such gaps. In this report, we describe informatic and bioanalytic methodologies that integrate weak signals in symptoms and chief complaints with pharmacogenomic analysis of ~90 single nucleotide polymorphic variants, CYP2D6 copy number, and clinical pharmacokinetic profiles to monitor drug–gene pairs and drug–drug interactions for medications with significant pharmacogenomic profiles. The utility of the approach was validated in a virtual patient case showing detection of significant drug–gene and drug–drug interactions of clinical significance. This effort is being used to establish proof-of-concept for the creation of a regional database to track clinical outcomes in patients enrolled in a bioanalytically-informed medication management program. Our integrated informatic and bioanalytic platform can provide facile clinical decision support to inform and augment medication management in the primary care setting.

Prevalence and Age Structure of Polypharmacy in Poland: Results of the Analysis of the National Real-World Database of 38 Million Citizens

Introduction: Polypharmacy is a risk factor for adverse health outcomes, higher use of medical services and additional costs. The problem has gained attention as a consequence of aging and related multimorbidity. Therefore, there is an urgent need to adopt effective interventions aimed at reducing its burden. In order to achieve this, in-depth understanding of the prevalence of polypharmacy is required. Of particular interest is, however, assessing prevalence of polypharmacy in various age groups, to reach the right target for these interventions. So far, only limited data on polypharmacy among non-elderly individuals have been available.

Aim of study: To assess overall prevalence of polypharmacy in Poland as well as its distribution in various age groups using real-world data.

Methodology: A retrospective analysis of complete dispensation data of national payer organization for the years 2018–2019. The analyzed dataset included data on dispensation of reimbursed drugs, and exclusively for 2019, also non-reimbursed drugs. Polypharmacy was defined as dispensation of ≥5 prescription medications within six months.

Results: In the analyzed national cohort of 38 million Polish citizens, the prevalence of polypharmacy was found to be 11.7% in 2018 and 11.6% in 2019. With age, the prevalence of polypharmacy increased, reaching the value of 56.0% in those aged 80+ in 2018, and 55.0% in 2019. Altogether, among those aged 65+, the polypharmacy was present in 43.1% in 2018, and 42.1% in 2019. In the youngest group of citizens, i.e., among those aged below 20 years, polypharmacy was found in 0.9%, and 0.8% in 2018 and 2019, respectively. Prevalence of polypharmacy, calculated for 2019 according to dispensation of five or more reimbursed and non-reimbursed drugs for the whole Polish population, was 21.8% for January-June, and 22.4% for July-December 2019. Among those aged 65+, the relevant numbers were 62.3%, and 62.9%, respectively.

Conclusion: This study, being the first nationwide assessment of polypharmacy in Poland, confirmed its high prevalence. We found polypharmacy present in over one fifth of Polish society. Peaking in the elderly, polypharmacy occurred in each age group. These results lay the foundations for future interventions focused on reducing the scope of this problem in Poland.

Oral Implications of Polypharmacy in Older Adults

Over the next several decades, rates of aged populations will increase rapidly. These populations are susceptible to multimorbidities and polypharmacy (concurrently, prescribed 5 or more medications). Many medications have side effects that manifest orally. Therefore, it essential to possess current pharmacologic knowledge to diagnose and treat oral implications of commonly prescribed medications. This article details common medication-induced oral lesions and patient assessment of risk factors for polypharmacy and provides a template to integrate medication reconciliation into dental clinical practice.

The FDA-approved drugs ticlopidine, sertaconazole, and dexlansoprazole can cause morphological changes in C. elegans

Urgent need for treatments limit studies of therapeutic drugs before approval by regulatory agencies. Analyses of drugs after approval can therefore improve our understanding of their mechanism of action and enable better therapies. We screened a library of 1443 Food and Drug Administration (FDA)-approved drugs using a simple assay in the nematode C. elegans and found three compounds that caused morphological changes. While the anticoagulant ticlopidine and the antifungal sertaconazole caused both accumulations that resulted in distinct distortions of pharyngeal anatomy and lethality upon acute exposure, the proton-pump inhibitor dexlansoprazole caused molting defects and required exposure during larval development. Such easily detectable defects in a powerful genetic model system advocate the continued exploration of current medicines using a variety of model organisms to better understand drugs already prescribed to millions of patients.

Polypharmacy, functional outcome and treatment effect of intravenous alteplase for acute ischaemic stroke

BACKGROUND AND PURPOSE

Polypharmacy is an important challenge in clinical practice. Our aim was to determine the effect of polypharmacy on functional outcome and treatment effect of alteplase in acute ischaemic stroke.

METHODS

This was a post hoc analysis of the randomized, placebo-controlled WAKE-UP trial of magnetic resonance imaging guided intravenous alteplase in unknown onset stroke. Polypharmacy was defined as an intake of five or more medications at baseline. Comorbidities were assessed by the Charlson Comorbidity Index (CCI). The primary efficacy variable was favourable outcome defined by a score of 0-1 on the modified Rankin Scale at 90 days. Logistic regression analysis was used to test for an association of polypharmacy with functional outcome, and for interaction of polypharmacy and the effect of thrombolysis.

RESULTS

Polypharmacy was present in 133/503 (26%) patients. Patients with polypharmacy were older (mean age 70 vs. 64 years; p < 0.0001) and had a higher score on the National Institutes of Health Stroke Scale at baseline (median 7 vs. 5; p = 0.0007). A comorbidity load defined by a CCI score ≥ 2 was more frequent in patients with polypharmacy (48% vs. 8%; p < 0.001). Polypharmacy was associated with lower odds of favourable outcome (adjusted odds ratio 0.50, 95% confidence interval 0.30-0.85; p = 0.0099), whilst the CCI score was not. Treatment with alteplase was associated with higher odds of favourable outcome in both groups, with no heterogeneity of treatment effect (test for interaction of treatment and polypharmacy, p = 0.29).

CONCLUSION

In stroke patients, polypharmacy is associated with worse functional outcome after intravenous thrombolysis independent of comorbidities. However, polypharmacy does not interact with the beneficial effect of alteplase.

Drug-Induced Ototoxicity: A Comprehensive Review and Reference Guide

OBJECTIVE

In an era of increasing polypharmacy, adverse drug effects such as ototoxicity have significant public health implications. Despite the availability of evidence, many health care professionals may not know the risk of ototoxicity in common medications. Therefore, the aim of this review is to provide a comprehensive, easy to use, ototoxic profile of medications with an assessment of supporting evidence.

METHODS

Medications of interest were identified through adverse drug reaction reports derived from Micromedex (IBM), Lexicomp (Wolters Kluwer), and the textbook, Drug Induced Diseases: Prevention, Detection, and Management. Additional evidence was identified though a query of PubMed and the Cochrane database. Evidence of causality was graded according to the following: A (randomized, controlled clinical trials), B (nonrandomized clinical trials, prospective observational studies, cohort studies, retrospective studies, case-controlled studies, and/or postmarketing surveillance studies), and C (case reports/case series).

RESULTS

A total of 194 systemically administered medications associated with ototoxicity were identified, most commonly antimicrobials (53), psychotropics (21), antihypertensive/antiarrhythmics (19), nonsteroidal antiinflammatory drugs (18), and antineoplastics (16). There was evidence of cochleotoxicity in 165 medications (evidence grading A [22], B [77], C [69]), vestibulotoxicity in 100 medications (evidence grading A [23], B [47], and C [30]), and dizziness in 142 medications (evidence grading A [50], B [76], and C [16]). In addition, a review of the evidence of ototoxicity in ototopical medications is also reviewed.

CONCLUSION

The effect and severity of ototoxicity can vary immensely depending on pharmacological and individual patient risk factors. The intent of this comprehensive review was to help health care providers of all sectors obtain a deeper knowledge of drug-induced ototoxicity to make more informed management decisions for their patients.

Attitudes toward deprescribing in a middle-aged health disparities population

BACKGROUND

Patients' attitudes toward deprescribing are crucial to understand before developing interventions, but no such data exists in the medically underserved, health disparities population of rural Appalachian United States.

OBJECTIVE(S)

Assess Appalachian women's openness to deprescribing medications and determine if polypharmacy influenced their attitudes toward deprescribing.

METHODS

Before and after a cognitive behavioral therapy intervention, middle-aged Appalachian women self-reported medication use and completed the revised Patients' Attitudes Toward Deprescribing Questionnaire (rPATD). Responses were described, stratified by presence of polypharmacy.

RESULTS

30 women completed the rPATD pre- and post-intervention (mean [SD] age 55.8 [6.6] years; 96.7% white). Those with polypharmacy (n = 16) had higher burden and involvement scores (median 2.8 vs 2.0, p = 0.01; 4.9 vs 4.6, p = 0.06), and lower appropriateness scores (3.4 vs 3.9, p = 0.04). Burden, concerns about stopping, and involvement factor scores were similar before and after the intervention (p = 0.08, 0.86, and 0.41 respectively). ≥90% of participants were satisfied with their current medications yet would be willing to stop one or more.

CONCLUSIONS

Middle-aged women in rural Appalachian United States are open to deprescribing; polypharmacy is associated with lower belief in the appropriateness of medications. Larger studies are needed to inform future deprescribing interventions for this and other similarly disadvantaged populations.

Method Consolidation to Improve Scope and Efficiency in Postmortem Toxicology

Systematic toxicological approaches that employ both ideology changes and improvements in instrumentation and sample extraction allow for improved toxicology testing efficiency through lower sensitivities, higher specificity and minimized resource use. Historically, the San Francisco Office of the Chief Medical Examiner relied heavily on a gas chromatography mass spectrometry (GC-MS) testing regime, comprised of individual drug-class confirmation and quantitation assays. Traditional methods utilizing GC-MS typically require iterations of testing, exhausting sample volume, and hindering productivity and turnaround times, particularly for polypharmacy cases frequently seen in modern postmortem toxicology. The method described here consolidated the scope of seven legacy methods into a single liquid chromatography tandem mass spectrometry (LC-MS/MS) method for better sensitivity, higher throughput, minimal sample consumption for the quantitation of drugs of abuse and improved quality assurance with the incorporation of smart, automated processing. About 100 μL of blood or urine were rapidly extracted using a simple acetonitrile protein crash and subsequent in-vial filtration and injected on to an LC-MS-MS system. The developed method was fully validated to SWGTOX and international guidelines and incorporated 55 analytes along with a customized query that facilitates rapid and consistent application of acceptability criteria for data processing and review. Applicability was demonstrated with the analysis of 1,389 samples (858 blood and 531 urine) where at least 41% of positive results may have been missed due to their decreased sensitivity and 11% of results were not within the scope of the previous analytical methods estimated. On average, cases in this study would have previously required three distinct GC-MS assays, 3 mL of blood, and upwards of 30 h of active staff time. The described LC-MS-MS analytical approach has mitigated the need to perform multiple assays, utilized only 0.1 mL of sample, significantly reduced analyst work time, incorporated 10 additional analytes and allowed for a more comprehensive testing regime to better inform cause of death determinations.

Screening to identify signals of opioid drug interactions leading to unintentional traumatic injury

BACKGROUND

Efforts to minimize harms from opioid drug interactions may be hampered by limited evidence on which drugs, when taken concomitantly with opioids, result in adverse clinical outcomes.

OBJECTIVE

To identify signals of opioid drug interactions by identifying concomitant medications (precipitant drugs) taken with individual opioids (object drugs) that are associated with unintentional traumatic injury DESIGN: We conducted pharmacoepidemiologic screening of Optum Clinformatics Data Mart, identifying drug interaction signals by performing confounder-adjusted self-controlled case series studies for opioid + precipitant pairs and injury.

SETTING

Beneficiaries of a major United States-based commercial health insurer during 2000-2015 PATIENTS: Persons aged 16-90 years co-dispensed an opioid and ≥1 precipitant drug(s), with an unintentional traumatic injury event during opioid therapy, as dictated by the case-only design EXPOSURE: Precipitant-exposed (vs. precipitant-unexposed) person-days during opioid therapy.

OUTCOME

Emergency department or inpatient International Classification of Diseases discharge diagnosis for unintentional traumatic injury. We used conditional Poisson regression to generate confounder adjusted rate ratios. We accounted for multiple estimation via semi-Bayes shrinkage.

RESULTS

We identified 25,019, 12,650, and 10,826 new users of hydrocodone, tramadol, and oxycodone who experienced an unintentional traumatic injury. Among 464, 376, and 389 hydrocodone-, tramadol-, and oxycodone-precipitant pairs examined, 20, 17, and 16 (i.e., 53 pairs, 34 unique precipitants) were positively associated with unintentional traumatic injury and deemed potential drug interaction signals. Adjusted rate ratios ranged from 1.23 (95 % confidence interval: 1.05-1.44) for hydrocodone + amoxicillin-clavulanate to 4.21 (1.88-9.42) for oxycodone + telmisartan. Twenty (37.7 %) of 53 signals are currently reported in a major drug interaction knowledgebase.

LIMITATIONS

Potential for reverse causation, confounding by indication, and chance CONCLUSIONS: We identified previously undescribed and/or unappreciated signals of opioid drug interactions associated with unintentional traumatic injury. Subsequent etiologic studies should confirm (or refute) and elucidate these potential drug interactions.

PARC report: health outcomes and value of personalized medicine interventions: impact on patient care

The incorporation of personalized medicine interventions into routine healthcare constitutes an opportunity to improve patients' quality of life, as it empowers implementation of innovative, individualized clinical interventions that maximize efficacy and/or minimize the risk of adverse drug reactions. In order to ensure equal access to genomic testing for all patients, the costs associated with these interventions must be reimbursed by payers and insurance bodies. As such, it is of utmost importance to thoroughly evaluate these interventions both in terms of their clinical effectiveness and their economic cost. This article discusses the impact of personalized medicine interventions in terms of both health outcomes and value, which directly impacts on their pricing and reimbursement by the various national healthcare systems.

Pharmacogenetic testing in psychiatric inpatients with polypharmacy is associated with decreased medication side effects but not via medication changes

In psychiatric patients, medication adverse effects are regularly attributed to psychosomatic causes. However, many psychotropic medications are metabolized by cytochrome P450 (CYP450) enzymes. In the setting of polypharmacy, the activity of these enzymes may produce unfavorable drug-drug interactions (DDI) and drug-genotype interactions (DGI) that contribute to morbidity and mortality. This study sought to estimate the risk of adverse DDI and DGI in psychiatric inpatients with polypharmacy. We assessed whether medication changes made after pharmacogenetics (PGx) testing correlated with changes in side effects and overall improvement. Adult psychiatry inpatients with polypharmacy, defined as 5 or more scheduled prescription medications, completed the 24-item Antidepressant Side Effect Checklist (ASEC) questionnaire on enrollment and underwent PGx testing. Analysis of PGx results focused on whether the CYP2D6 and CYP2C19 phenotypes were "extreme," defined as poor, poor to intermediate, or ultrarapid. Approximately 30 days after PGx results were sent to outpatient providers, patients were contacted to obtain their current medication list and ASEC and Clinical Global Impression Improvement (CGI-I) scores. A total of 80 patients were enrolled, and 52 (65%) completed follow-up. ASEC scores improved from 11.5 (±8.1) to 7.2 (±6.0) (p = 0.0009). Mean CGI-I score was 2.7 (±1.4), between "minimal" to "much improved." However, linear regression revealed that these improvements were not correlated with whether medications were changed. We concluded that the impact of drug-genotype interactions in this small sample of inpatients with polypharmacy was low, and that patient improvement was related not to PGx-guided medication changes but to other treatments during hospitalization.

Relative prevalence of 10 types of pharmacodynamic interactions in psychiatric treatment

OBJECTIVE

To assess the relative prevalence and factors affecting the prescription of medication combinations with a theoretical efficacy limiting pharmacodynamic interaction, defined as two medications with opposing indications and side effects or antagonistic action at the primary receptor of mechanism of action.

METHOD

One hundred sixteen combinations were identified for 10 types of pharmacodynamic interactions. PubMed was searched for each combination to assess the quality of evidence either supporting clinical use or verifying reduced efficacy. Micromedex was searched to determine the presence of warnings to prescribers of reduced efficacy. The prevalence in clinical practice was determined by computer review of the Genoa Healthcare database for all prescribers at 10 participating community mental health centers. The expected prevalence was calculated as the product of the probability of each medication prescribed alone and was compared with the actual prevalence of the combination using the test of proportions.

RESULTS

The frequency of prescription of eight combinations met the Bonferroni corrected level of significance of p < 0.001. Four were combinations of amphetamine and D2 antagonists and each were prescribed less often than chance, p = 0.0001 consistent with epidemiological studies and multiple animal studies verifying an efficacy limiting interaction. Despite epidemiological studies indicating increased risk of accidents, alprazolam and amphetamine were prescribed more often than chance, p = 0.0001. Micromedex generated warnings for efficacy limiting interactions for five other combinations, but with no subsequent change in prescription frequency.

CONCLUSIONS

Neither presence of medical evidence nor warnings from Micromedex consistently affect the prescription of combinations with pharmacodynamic efficacy limiting interactions.

Prescription Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) and Depression among Adults with Inflammatory Chronic Conditions in the United States

The association of prescription NSAIDs to presence of depression among adults with inflammatory chronic conditions in adults with and without depression and seeking care in routine clinical practice remains unknown. We examined the association of prescription NSAIDs to depression among adults with inflammatory chronic conditions in a nationally representative sample of the US non-institutionalized civilian population. We used a retrospective cross-sectional design. Data on 10,713 adults with inflammatory chronic conditions were derived from 2015 Medical Expenditure Panel Survey (MEPS). The dependent variable was the presence or absence of depression and the key independent variable was prescription NSAIDs use. Logistic regression models were used to examine the adjusted associations of prescription NSAIDs to depression. In these regressions, other independent variables (biological, sociocultural, socio-economic, access to healthcare services, medical conditions and treatment factors, behavioural, and environmental factors) that may affect the relationship of prescription NSAIDs to depression were also included. All analyses accounted for the complex survey design of MEPS. Overall, 18.2% reported depression. Almost 21% used prescription NSAIDs. In the unadjusted model, prescription NSAIDs use had higher odds of depression (OR = 1.59;95%CI = [1.40, 1.82]) as compared to those without NSAIDs. In the fully-adjusted logistic regression model, with controls for other independent variables, adults using prescription NSAIDs had no significant association with depression (AOR = 0.97;95%CI = [0.84, 1.13]) compared to those without NSAIDs. In this first real-world study of all adults (with and without depression) in the US, we did not observe a statistically significant association of prescription NSAIDs to the presence of depression.

Motoric Cognitive Risk Syndrome in Polypharmacy

OBJECTIVES

Risk factors for motoric cognitive risk syndrome (MCR), a predementia syndrome characterized by slow gait and cognitive complaints, have been identified, but few are reversible. Polypharmacy is a potentially reversible risk factor for cognitive decline, but the relationship between MCR and polypharmacy has not been examined. Our aim was to compare the epidemiology of MCR and polypharmacy.

DESIGN

Cross-sectional.

SETTING

Community-based Health and Retirement Study cohort.

PARTICIPANTS

A total of 1119 adults 65 years and older (mean age = 74.7 ± 7.0 y; 59% female).

MEASUREMENTS

Polypharmacy is defined as the use of five or more regularly scheduled medications. MCR is defined as cognitive complaints and slow gait in an individual without dementia.

RESULTS

The prevalence of MCR among 417 participants with polypharmacy was 10%; it was 6% among 702 participants without polypharmacy. The odds of meeting MCR criteria in those with polypharmacy was 1.8 (confidence interval = 1.0-3.0; P = .035) compared with those without polypharmacy, even after adjusting for high-risk medication use.

CONCLUSION

Our results show the coexistence of MCR and polypharmacy in older adults, suggesting a potentially modifiable risk factor for dementia. J Am Geriatr Soc 68:1072-1077, 2020.

Potential Cytochrome P450 Drug-Drug Interaction Among Adult and Adolescent Patients Undergoing Tonsillectomy

Objective

To assess the frequency of potential drug-drug interactions affecting cytochrome P450 (CYP)–mediated metabolism of opioids among adult and adolescent patients who underwent adenotonsillectomy.

Study Design

Retrospective chart review.

Setting

Tertiary care university hospital.

Patients and Methods

A retrospective review was conducted of 279 patients who underwent adenotonsillectomy at the University of Rochester. The discharge medication list was reviewed for all patients, and their postoperative medications were compared with a reference list published by the Food and Drug Administration and the University of Indiana’s Department of Clinical Pharmacology (Flockhart Table) to determine whether CYP-inducing or CYP-inhibiting medication was present.

Results

Out of 279 patients, 197 different medications were taken postoperatively. Approximately 70% of patients were taking 2 medications in addition to the standard postoperative analgesics (acetaminophen, hydrocodone, oxycodone, morphine, and/or ibuprofen). The 5 most commonly prescribed medications excluding the posttonsillectomy medications were oral contraceptives, ondansetron, amoxicillin, albuterol, and methylprednisolone. Four percent of patients were taking a medication that inhibits CYP3A4; <1% were taking a medication that induces CYP3A4; and 15% were taking a medication that inhibits CYP2D6.

Conclusions

Nearly 20% of the patients in this cohort were taking a medication that may alter opioid metabolism through induction or inhibition of CYP3A4 or CYP2D6. Some of these interactions have the potential to be more clinically relevant than others, particularly interactions that can lead to enhanced toxicity of opioids due to accumulation of active metabolites.

Understanding Principles of High Reliability Organizations Through the Eyes of VIONE: A Clinical Program to Improve Patient Safety by Deprescribing Potentially Inappropriate Medications and Reducing Polypharmacy

The assessment of polypharmacy and reduction of potentially inappropriate medications using VIONE has benefited about 60,000 veterans with more than 128,000 medications deprescribed, yielding more than $4 million in annualized cost avoidance.

Polypharmacy: a healthcare conundrum with a pharmacogenetic solution

The use of multiple medications is growing at an alarming rate with some reports documenting an average of 12-22 prescriptions being used by individuals ≥50 years of age. The indirect consequences of polypharmacy include exacerbation of drug-drug interactions, adverse drug reactions, increased likelihood of prescribing cascades, chronic dependence, and hospitalizations - all of which have significant health and economic burden. While many practical solutions for reducing polypharmacy have been proposed, they have been met with limited efficacy. This highlights the need for a new systematic approach for fine-tuning dispensing of medications. Pharmacogenetic testing provides an empirical and scientifically rigorous approach for guiding appropriate selection of medicines, with the potential to reduce unnecessary polypharmacy while improving clinical outcomes. The goal of this review article is to provide healthcare providers with an understanding of polypharmacy, its adverse effects on the healthcare system and highlight how pharmacogenetic information can be used to avoid polypharmacy in patients.

Prediction of Severity of Drug-Drug Interactions Caused by Enzyme Inhibition and Activation

Drug-drug interactions (DDIs) severity assessment is a crucial problem because polypharmacy is increasingly common in modern medical practice. Many DDIs are caused by alterations of the plasma concentrations of one drug due to another drug inhibiting and/or inducing the metabolism or transporter-mediated disposition of the victim drug. Accurate assessment of clinically relevant DDIs for novel drug candidates represents one of the significant tasks of contemporary drug research and development and is important for practicing physicians. This work is a development of our previous investigations and aimed to create a model for the severity of DDIs prediction. PASS program and PoSMNA descriptors were implemented for prediction of all five classes of DDIs severity according to OpeRational ClassificAtion (ORCA) system: contraindicated (class 1), provisionally contraindicated (class 2), conditional (class 3), minimal risk (class 4), no interaction (class 5). Prediction can be carried out both for known drugs and for new, not yet synthesized substances using only their structural formulas. Created model provides an assessment of DDIs severity by prediction of different ORCA classes from the first most dangerous class to the fifth class when DDIs do not take place in the human organism. The average accuracy of DDIs class prediction is about 0.75.

Polypharmacy in an Elderly Population: Enhancing Medication Management Through the Use of Clinical Decision Support Software Platforms

INTRODUCTION

Polypharmacy is a growing problem in the United States. The use of multiple medications increases the likelihood that a patient will experience potential drug interactions and adverse drug reactions (ADRs). Those individuals with dementia or Alzheimer's disease (AD) are at greater risk, due to age, comorbidities, and an increased likelihood of being on a greater number of neuroactive medications.

METHODS

uMETHOD Health (uMH) has developed a precision medicine platform to address dementia and mild AD through the creation of personalized, multidomain treatment plans. Many interactions and ADRs may be observed, such as drug-drug interactions (DDIs), drug-gene interactions (DGIs), anticholinergic cognitive burden (ACB), and depression-inducing drugs (DIDs). uMH's algorithms can parse these interactions, rate them based on input from open-source databases, and then record all these interactions in a generated treatment plan. A total of 295 individuals aged 65 and older were included in this analysis.

RESULTS

Of 295 individuals, 97.59% were on at least one medication, with an overall mean of 11.5 medications per person; 83.66% were on five or more medications. A total of 102 DGIs, 3642 DDIs, and one high-priority DDI were found in this population. There was a significant increase in the number of DDIs as medications per person increased (P value < 0.0001). Of the population, 65.86% were on one or more anticholinergic drugs. There was a significant difference in the ACB score between individuals with cognitive decline and those without. In total, 60.98% of the overall population were on DIDs, with a mean of 1.19 medications per person.

CONCLUSIONS

The results of this work show that older populations have a high medication burden. With the growing elderly and AD populations, medication management for polypharmacy is a need that grows direr every year. uMH's platform was able to identify a multitude of polypharmacy problems that individuals are currently facing.

FUNDING

uMETHOD Health.

Polypharmacy in patients with multiple sclerosis: a gender-specific analysis

Background

Multiple sclerosis (MS) affects about three times more women than men. Due to variable MS courses, multiple therapies are necessary in clinical practice.

Objective

We aimed at conducting sex-specific analyses of MS patients regarding polypharmacy (≥ 5 drugs) and at identifying differences in the medication spectrum.

Methods

Clinico-demographic data were gathered from 306 patients using clinical examinations, structured patient interviews, and patient records. Statistical data analyses were performed to evaluate whether the same or different factors are associated with polypharmacy in both genders.

Results

Women (N = 218) and men (N = 88) showed similar polypharmacy rates (56.0% vs. 58.0%; p = 0.799). For both genders, higher age, severe disability degrees, comorbidities, and inpatient treatment were significantly associated with a higher polypharmacy risk. Low educational levels were predictors of polypharmacy only in women. Fampridine (p < 0.021) and antispasmodics (p < 0.010) were used more often by men, while women took more frequently thyroid medications (p < 0.001) and contraceptives (p < 0.001). The age-related increase in medication use was much stronger in women (p < 0.001).

Conclusion

Male and female MS patients with older age, comorbidities, higher disability degree, and inpatient treatment are at greater risk of polypharmacy. Future studies should examine the occurrence of clinically relevant drug interactions in MS patients stratified by sex.

Sex and gender differences in polypharmacy in persons with dementia: A scoping review

PURPOSE

To date, research studies in most disciplines have not made sex-based analysis a priority despite increasing evidence of its importance. We now understand that both sex and gender impact medication prescribing, use, and effect. This is particularly true for older adults with dementia who have alterations in drug metabolism, drug response, and the permeability of the blood-brain barrier. To better understand the influence of sex and gender on drug use in older adults with dementia, we conducted a scoping review.

METHODS

This scoping review systematically searched the Medline, Embase, Web of Science, CINAHL, and ProQuest databases to find published reports on polypharmacy in populations of older adults with dementia that included a sex- or gender-based analysis.

RESULTS

A total of 12 published reports were identified. Findings were cohort studies and case-control trials that commented on sex-related differences in medication use as a secondary analysis to the studies' primary objective. These studies showed that community-dwelling women received more potentially inappropriate medications and more psychotropic medications, while nursing home dwelling men received more potentially inappropriate medications, cholinesterase inhibitors, and antipsychotics. None of the identified studies explicitly examined gender-related differences in medication use.

CONCLUSION

This scoping review supports that there is inadequate understanding of both sex and gender differences in drug use in older men and women with dementia. To tailor medication-specific interventions to improve drug therapy for older adults with dementia, it is important that future work includes sex- or gender-based analysis of drug use.