Polypharmacy: misleading, but manageable

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.

Potential drug-drug interactions analysis in Polish pediatric pneumonology units, including cystic fibrosis patients

The lack of data on drug-drug interactions in pediatrics represents a relevant problem in making appropriate therapeutic decisions. Our study aimed to investigate the incidence and risk factors for potential drug-drug interactions (pDDIs) in pediatric pneumonology units, including cystic fibrosis patients. We performed a 6-month prospective observational study during which clinical pharmacists, using the Lexicomp Drug Interactions checker, screened medical records to identify pDDIs. Spearman's rank coefficient, logistic regression, and the Mann-Whitney U test were used to identify correlations, analyze risk factors for pDDIs, and compare cystic fibrosis patients with the rest, respectively. Recommendations were provided for the D and X pDDIs categories. Within the 218 patients, 428 pDDIs were identified, out of which 237 were classified as clinically significant. Almost 60% of patients were exposed to at least one relevant interaction. The number of pDDIs correlated with the number of; drugs (rs = 0.53, P <  .001), hospitalization length (rs = 0.20, P <  .01), and off-label medicines (rs = 0.25, P <  .001). According to the multivariate analysis, at least 6 administered medications (OR = 4.15; 95% CI = 2.21-7.78), 4 days of hospitalization (OR = 6.41; 95% CI = 2.29-17.97), and off-label therapy (OR = 3.37; 95% CI = 1.69-6.70) were the risk factor for pDDIs. Despite significant differences in the number of medications taken, comorbidities, and off-label drugs, cystic fibrosis patients were not more exposed to pDDI. Given the lack of data on pDDIs in the pediatric population, the need for close cooperation between clinicians and clinical pharmacists to improve the safety and efficacy of pharmacotherapy is highlighted.

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.

A nurse practitioner-led deprescribing bundled intervention to reduce rates of polypharmacy in the post-acute care setting

BACKGROUND

In post-acute care (PAC) settings, residents face elevated risks of adverse drug reactions and emergency department visits because of polypharmacy. With over 90% of PAC residents nationally taking five or more medications, targeted deprescribing of inappropriate or unnecessary medications emerges as a critical strategy.

LOCAL PROBLEM

The project site faces high rates of polypharmacy with a root cause analysis revealing a deficiency in evidence-based practices (EBP) for deprescribing potentially inappropriate or unnecessary medications. To address this issue, a bundled deprescribing intervention was implemented as part of a quality improvement project aimed at reducing polypharmacy rates.

METHODS

This project, conducted at a PAC setting in the midwestern United States, used the RE-AIM Model. Data collection involved tracking prescribing rates before and after the intervention for residents admitted to the practice setting over a 5-month period.

INTERVENTION

A bundled EBP intervention comprising a deprescribing framework, pharmacist collaboration, and the utilization of an EBP guideline, established a systematic process guiding deprescribing efforts for each resident on admission to the PAC setting.

RESULTS

Fourty-nine patients received a deprescribing bundle, resulting in a 26.67% reduction in prescribed medications. On average, patients had 5.55 medications deprescribed, with reductions noted across 85 distinct therapeutic drug categories.

CONCLUSION

Nurse practitioners play a pivotal role initiating successful deprescribing interventions within the PAC setting. Using a comprehensive approach, integrating pharmacist collaboration and EBP leads to reductions in prescribing rates among PAC residents. This model demonstrates potential for sustainable improvements in patient outcomes within the PAC environment.

Possible drug-drug interactions among elderly patients receiving antiviral therapy for chronic hepatitis B

AIM

To identify possible drug-drug interactions in patients taking medications for other comorbidities while on antiviral therapy for chronic hepatitis B.

METHODS

The study enrolled patients with chronic hepatitis B aged ≥60 years who were treated with antiviral therapy in five hospitals in Turkey between January 1 and March 1, 2023. The Lexicomp® Drug Interactions program was used to identify possible drug-drug interactions.

RESULTS

The study included 213 patients (119 [55.9%] men). The mean age was 68.5 years. A potential drug-drug interaction was identified in 112 patients (52.6%). The most common type of interaction was type C ("follow the treatment") (71.54%). The number of potential drug-drug interactions increased with an increase in the number of drugs used by the patients. A robust and affirmative correlation was observed between the number of medications used and the number of possible drug-drug interactions (r=0.791, P<0.001). Adverse interactions (interactions of types C and D, 3.7% of cases) were limited to patients receiving tenofovir disoproxil fumarate.

CONCLUSION

Nonsteroidal anti-inflammatory medications should be used cautiously in elderly patients with chronic hepatitis B treated with tenofovir disoproxil fumarate due to the increased risk of renal toxicity.

Determination of drug-related problems in the hematology service: a prospective interventional study

BACKGROUND

Patients with hematological malignancies often require multidrug therapy using a variety of antineoplastic agents and supportive care medications. This increases the risk of drug-related problems (DRPs). Determining DRPs in patients hospitalized in hematology services is important for patients to achieve their drug treatment goals and prevent adverse effects. This study aims to identify DRPs by the clinical pharmacist in the multidisciplinary team in patients hospitalized in the hematology service of a university hospital in Turkey.

METHODS

This study was conducted prospectively between December 2022 and May 2023 in the hematology service of Suleyman Demirel University Research and Application Hospital in Isparta, Turkey. DRPs were determined using the Pharmaceutical Care Network Europe (PCNE) 9.1 Turkish version.

RESULTS

This study included 140 patients. Older age, longer hospital stay, presence of acute lymphoblastic leukemia, presence of comorbidities, higher number of medications used, and polypharmacy rate were statistically significantly higher in the DRP group than in the non-DRP group (p < 0.05). According to multivariate logistic regression analysis, the probability of DRP in patients with polypharmacy was statistically significant 7.921 times (95% CI: 3.033-20.689) higher than in patients without polypharmacy (p < 0.001).Every 5-day increase in the length of hospital stay increased the likelihood of DRP at a statistically significant level (OR = 1.476, 95% CI: 1.125-1.938 p = 0.005). In this study, at least one DRP was detected in 69 (49.3%) patients and the total number of DRPs was 152. Possible or actual adverse drug events (96.7%) were the most common DRPs. The most important cause of DRPs was drug choice (94.7%), and the highest frequency within its subcategories was the combination of inappropriate drugs (93.4%).

CONCLUSIONS

This study shows the importance of including a clinical pharmacist in a multidisciplinary team in identifying and preventing DRPs in the hematology service.

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 geographic 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 could inform interventions to reduce risky-prescribing (e.g., should interventions target groups of physicians or select physicians at random). 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 of select physicians 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 in both the state-wide and multiple HRR sub-networks, and that the level of homophily varied across HRRs. 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 could be applied to arbitrary shared-patient networks and even more generally to other kinds of network data that underlies other kinds of social phenomena.

Lung cancer, comorbidities, and medication: the infernal trio

Most patients with lung cancer are smokers and are of advanced age. They are therefore at high risk of having age- and lifestyle-related comorbidities. These comorbidities are subject to treatment or even polypharmacy. There is growing evidence of a link between lung cancer, comorbidities and medications. The relationships between these entities are complex. The presence of comorbidities and their treatments influence the time of cancer diagnosis, as well as the diagnostic and treatment strategy. On the other hand, cancer treatment may have an impact on the patient's comorbidities such as renal failure, pneumonitis or endocrinopathies. This review highlights how some comorbidities may have an impact on lung cancer presentation and may require treatment adjustments. Reciprocal influences between the treatment of comorbidities and anticancer therapy will also be discussed.

Understanding the Extent of Polypharmacy and its Association With Health Service Utilization Among Persons With Cancer and Multimorbidity: A Population-Based Retrospective Cohort Study in Ontario, Canada

Background: Cancer often co-occurs with other chronic conditions, which may result in polypharmacy. Polypharmacy is associated with adverse outcomes, including increased health service utilization. Objectives: This study examines the overall prevalence of polypharmacy (5 or more medications) among adults with cancer and multimorbidity, as well as the association of both minor polypharmacy (5-9 medications) and hyper-polypharmacy (10 or more medications) on high use of emergency room visits and hospitalizations, while controlling for age, sex, and type and stage of cancer. Methods: This retrospective longitudinal study used linked health administrative databases and included persons 18 years and older diagnosed with cancer between April 2010 and March 2013 in Ontario, Canada. Data on the number of health service utilizations at or above the 90th percentile (high users), was collected up to March 2014 and multivariate logistic regression was used to determine the impact of polypharmacy. Results: The prevalence of polypharmacy was 46% prior to cancer diagnosis, and 57% one year after diagnosis. Polypharmacy prior to and after cancer diagnosis increased with the level of multimorbidity, increasing age, but did not differ by sex. It was also highest in persons with lung cancer (52.4%) and those diagnosed with stage 4 cancer (51.3%). Minor polypharmacy increased the odds of being a high user of emergency rooms (1.16; 99% CI: 1.09-1.24) and hospitalizations (1.03; 0.98-1.09) and the odds of high use was greater with hyper-polypharmacy (1.41; 1.33-1.51) and (1.23; 1.17-1.29) respectively. Conclusion: Polypharmacy is highly prevalent and is associated with high health service utilization among adults with cancer and multimorbidity.

Prevalence of depression and clinical depressive symptoms in community-dwelling older adults with cognitive frailty

AIM

The present study determines the prevalence of depression and the extent of clinical depression symptoms among community-dwelling older adults with cognitive frailty and its associated factors.

METHODS

A total of 755 older adults aged ≥60 years were recruited. Their cognitive performance was determined using the Clinical Dementia Rating. Fried's criteria was applied to identify physical frailty, and the Beck Depression Inventory assessed their mental states.

RESULTS

A total of 39.2% (n = 304) of the participants were classified as cognitive frail. In this cognitive frail subpopulation, 8.6% (n = 26) had clinical depressive symptoms, which were mostly somatic such as disturbance in sleep pattern, work difficulty, fatigue, and lack of appetite. Older adults with cognitive frailty also showed significantly higher depression levels as compared with the noncognitive frail participants (t (622.06) = -3.38; P = 0.001). There are significant associations between depression among older adults with cognitive frailty and multimorbidity (P = 0.009), polypharmacy (P = 0.009), vision problems (P = 0.046), and hearing problems (P = 0.047). The likelihood of older adults with cognitive frailty who experience impairments to their vision and hearing, polypharmacy, and multimorbidity to be depressed also increased by 2, 3, 5, and 7-fold.

CONCLUSIONS

The majority of the Malaysian community-dwelling older adults were in a good mental state. However, older adults with cognitive frailty are more susceptible to depression due to impairments to their hearing and vision, multimorbidity, and polypharmacy. As common clinical depressive symptoms among older adults with cognitive frailty are mostly somatic, it is crucial for health professionals to recognize these and not to disregard them as only physical illness. Geriatr Gerontol Int 2024; 24: 225-233.

Dose of selective serotonin reuptake inhibitors and risk of upper gastrointestinal bleeding in older adults

BACKGROUND

Selective serotonin reuptake inhibitors (SSRIs) have been associated with an increased risk of upper gastrointestinal bleeding (UGIB) in older patients but little is known about the risk associated with individual SSRI drugs and doses.

AIMS

To quantify the risk of UGIB in relation to individual SSRI use in older adults.

METHODS

We conducted a nested case-control study within a cohort of 9565 patients aged ⩾65 years prescribed SSRIs from 2000 to 2013 using claims data of universal health insurance in Taiwan. Incident cases of UGIB during the follow-up period were identified and matched with three control subjects. Conditional logistic regression was used to estimate the odds ratio (OR) of UGIB associated with individual SSRI use and cumulative dose.

RESULTS

UGIB risk increased with the increasing cumulative doses of SSRIs (adjusted OR: 1.28, 95% confidence interval (CI): 1.02-1.62 for the highest vs. the lowest tertile). Compared with users of other SSRIs, fluoxetine users were at an increased risk of UGIB (adjusted OR: 1.25, 95% CI: 1.03-1.50) with a dose-response manner, whereas paroxetine users had 29% decreased odds (95% CI: 0.56-0.91). The increased risk was only observed among current fluoxetine users.

CONCLUSIONS

Fluoxetine therapy was associated with an increased risk of UGIB in a dose-response manner among older adults.

Multiple sclerosis in the elderly: a retrospective cohort study

BACKGROUND

There is a lack of knowledge of disease course, prognosis, comorbidities and potential treatments of elderly MS patients.

OBJECTIVE

To characterize the disease course including disability progression and relapses, to quantify the use of DMTs and to identify comorbidities and risk factors for progression in elderly multiple sclerosis (MS) patients.

METHODS

This is a retrospective study of 1200 Austrian MS patients older than 55 years as of May 1st, 2017 representing roughly one-third of all the MS patients of this age in Austria. Data were collected from 15 MS centers including demographics, first symptom at onset, number of relapses, evolvement of disability, medication, and comorbidities.

RESULTS

Median observation time was 17.1 years with 957 (80%) relapsing and 243 (20%) progressive onsets. Average age at diagnosis was 45 years with a female predominance of 71%. Three-hundred and twenty-six (27%) patients were never treated with a DMT, while most treated patients received interferons (496; 41%) at some point. At last follow-up, 420 (35%) patients were still treated with a DMT. No difference was found between treated and never-treated patients in terms of clinical outcome; however, patients with worse disability progression had significantly more DMT switches. Pyramidal onset, number of comorbidities, dementia, epilepsy, and psychiatric conditions as well as a higher number of relapses were associated with worse outcome. The risk of reaching EDSS 6 rose with every additional comorbidity by 22%. In late and very-late-onset MS (LOMS, VLOMS) time to diagnosis took nearly twice the time compared to adult and early onset (AEOMS). The overall annualized relapse rate (ARR) decreased over time and patients with AEOMS had significantly higher ARR compared to LOMS and VLOMS. Four percent of MS patients had five medications or more fulfilling criteria of polypharmacy and 20% of psychiatric drugs were administered without a matching diagnosis.

CONCLUSIONS

In this study, we identified number of comorbidities, pyramidal and cerebellar signs, and a higher number of relapses as unfavorable prognostic factors in elderly MS patients filling gaps of knowledge in patients usually underrepresented in clinical trials and may guide future therapeutic studies.

Polypharmacy and Healthcare Service Use Among Prescription Opioid Poisoning Cases Age 50

Objectives: To examine relationships between polypharmacy and level of healthcare service use among prescription opioid poisoning cases age 50 and older. Methods: Data came from the American Association of Poison Control Center's National Poison Data System, 2015-2020. We used multinomial logistic regression to examine the study questions. Results: Of the 77 946 cases with prescription opioid exposures, 64.5% were managed at a healthcare facility (HCF). Of HCF-managed cases, 41.2% were treated/evaluated and released and 21.3% and 37.5% were admitted for noncritical care and critical care, respectively. Medications for cardiovascular disease, benzodiazepines, other types of sedatives/hypnotics, antipsychotics, muscle relaxants, acetaminophen, and gabapentin were associated with increased risk of admission to both noncritical and critical care compared to treatment/evaluation and release. Acetaminophen use had the highest relative risk ratios (RRRs) for noncritical care (1.70, 95% CI = 1.51-1.91) and critical care (1.56, 95% CI = 1.39-1.76). Each additional medication/substance used was associated with 1.14 (95% CI = 1.11-1.17) and 1.19 (95% CI = 1.16-1.22) greater risk of noncritical and critical care admissions, respectively. Conclusions: Among older-adult poison control center cases for prescription opioid exposures, co-use of several commonly prescribed/used medicines was associated with increased risk of admissions to both noncritical and critical care units. Careful monitoring of medication use among older adults who use prescription opioids may reduce the risk of unintentional and intentional opioid poisoning.

Cohort Profile: Better Health in Late Life

Purpose

Humans are living longer and may develop multiple chronic diseases in later life. The Better Health in Late Life cohort study aims to improve our understanding of the risks and outcomes of multimorbidity in the Danish population.

Methods

A randomly-selected sample of Danish residents who were 50-65 years of age received a questionnaire and an invitation to participate in this study. Respondents completed an online survey between October 2021 and January 2022 which addressed topics that included self-assessed health, mental health, sleep, specific medical conditions, use of painkillers, diet, alcohol consumption, smoking, physical activity, and body composition. This information was linked to the Danish health and social registries (some established in 1943 and onwards) that maintain data on filled prescriptions, hospital records, socioeconomic status, and health care utilization.

Results

Responses were received from 115,431 of the 301,244 residents invited to participate (38%). We excluded respondents who answered none of the questions as well as those who provided no information on sex or indicated an age other than 50-65 years. Of the 114,283 eligible respondents, 54.8% were female, 30.3% were overweight, and 16.7% were obese. Most participants reported a weekly alcohol consumption of less than seven units and 13.3% were current smokers; 5.2% had a history of hospitalization for solid cancer, and 3.0%, 2.3%, 2.0%, and 0.9% reported chronic pulmonary disease, diabetes, stroke, and myocardial infarction, respectively. The most frequently filled prescriptions were for medications used to treat the nervous system and cardiovascular diseases (38.1% and 37.4%, respectively).

Implementation of pharmacogenetic testing in medication reviews in a hospital setting

AIM

To investigate whether it is feasible to perform pharmacogenetic testing and implement the test results as part of medication reviews during hospitalization of multimorbid patients.

METHODS

Patients with ≥2 chronic conditions and ≥5 regular drugs with at least one potential gene-drug interaction (GDI) were included from one geriatric and one cardiology ward for pharmacogenetic testing. After inclusion by the study pharmacist, blood samples were collected and shipped to the laboratory for analysis. For patients still hospitalized at the time when the pharmacogenetic test results were available, the information was used in medication reviews. Recommendations from the pharmacist on actionable GDIs were communicated to the hospital physicians, who subsequently decided on potential immediate changes or forwarded suggestions in referrals to general practitioners.

RESULTS

The pharmacogenetic test results were available for medication review in 18 of the 46 patients (39.1%), where median length of hospital stay was 4.7 days (1.6-18.3). The pharmacist recommended medication changes for 21 of 49 detected GDIs (42.9%). The hospital physicians accepted 19 (90.5%) of the recommendations. The most commonly detected GDIs involved metoprolol (CYP2D6 genotype), clopidogrel (CYP2C19 genotype) and atorvastatin (CYP3A4/5 and SLCOB1B1 genotype).

CONCLUSIONS

The study shows that implementation of pharmacogenetic testing for medication review of hospitalized patients has the potential to improve drug treatment before being transferred to primary care. However, the logistics workflow needs to be further optimized, as test results were available during hospitalization for less than half of the patients included in the study.

Patient Polypharmacy use Following a Multi-Disciplinary Dementia Care Program in a Memory Clinic: A Retrospective Cohort Study

Introduction

Dementia increases the risk of polypharmacy. Timely detection and optimal care can stabilize or delay the progression of dementia symptoms, which may in turn reduce polypharmacy. We aimed to evaluate the change in polypharmacy use among memory clinic patients living with dementia who participated in a dementia care program compared to those who did not. We hypothesized that patients in the dementia care program would reduce their use of polypharmacy compared to those who were not in standard care.

Methods

We retrospectively analyzed data extracted from electronic medical records from a university memory clinic. Data from a total of 381 patients were included in the study: 107 in the program and 274 matched patients in standard care. We used adjusted odds ratios to assess the association between enrollment in the program and polypharmacy use at follow-up (five or more concurrent medications), controlling for baseline polypharmacy use and stratified polypharmacy use by prescription and over-the-counter (OTC).

Results

The two groups did not differ in the use of five or more overall and prescription medications at follow-up, controlling for the use of five or more of the respective medications at baseline and covariates. Being in the program was associated with a three-fold lower odds of using five or more OTC medications at follow-up (adjusted odds ratio = 0.30; p <0.001; 95% Confidence interval = 0.15-0.58) after controlling for using five or more OTC medications at baseline and covariates.

Conclusions

Dementia care may reduce polypharmacy of OTC medications, potentially reducing risky drug-drug interactions. More research is needed to infer causality and understand how to reduce prescription medication polypharmacy.

Interactions between diabetic and hypertensive drugs: a pharmacogenetics approach

Diabetes is known to increase susceptibility to hypertension due to increase in inflammation, oxidative stress, and endothelial dysfunction, leading to vascular stiffness. The polytherapy might lead to several drug-drug interactions (DDIs), which cause certain life-threatening complications such as diabetic nephropathy and hypoglycaemia. So, in this review we focused on drug-drug interactions and impact of genetic factors on drug responses for better disease management. Drug-drug interactions (DDIs) may act either synergistically or antagonistically. For instance, a combination of metformin with angiotensin II receptor antagonist or angiotensin-converting enzyme inhibitors (ACEIs) synergistically improves glucose absorption, whereas the same hypertensive drug combination with sulphonylurea might cause severe hypoglycaemia sometimes. Thiazolidinediones (TDZs) can cause fluid retention and heart failure when taken alone, but a combination of angiotensin II receptor antagonist with TZDs prevents these side effects. Interindividual genetic variation affects the DDI response. We found two prominent genes, GLUT4 and PPAR-γ, which are common targets for most of the drug. So, all of these findings established a connection between drug-drug interaction and genetics, which might be used for effective disease management.

Classifying Polypharmacy According to Pharmacotherapeutic and Clinical Risks in Older Adults: A Latent Class Analysis in Quebec, Canada

INTRODUCTION

The simplistic definition of polypharmacy, often designated as the concomitant use of five medications or more, does not distinguish appropriate from inappropriate polypharmacy. Classifying polypharmacy according to varying levels of health risk would help optimise medication use.

OBJECTIVE

We aimed to characterise different types of polypharmacy among older adults and evaluate their association with mortality and institutionalisation.

METHODS

Using healthcare databases from the Quebec Integrated Chronic Disease Surveillance System, we selected a community-based random sample of the population ≥ 66 years old covered by the public drug plan. Categorical indicators used to describe polypharmacy included number of medications, potentially inappropriate medications (PIMs), drug-drug interactions, enhanced surveillance medications, complex route of administration medications, anticholinergic cognitive burden (ACB) score and use of blister cards. We used a latent class analysis to subdivide participants into distinct groups of polypharmacy. Their association with 3-year mortality and institutionalisation was assessed with adjusted Cox models.

RESULTS

In total, 93,516 individuals were included. A four-class model was selected with groups described as (1) no polypharmacy (46% of our sample), (2) high-medium number of medications, low risk (33%), (3) medium number of medications, PIM use with or without high ACB score (8%) and (4) hyperpolypharmacy, complex use, high risk (13%). Using the class without polypharmacy as the reference, all polypharmacy classes were associated with 3-year mortality and institutionalisation, with the most complex/inappropriate classes denoting the highest risk (hazard ratio [HR] [95% confidence interval]: class 3, 70-year-old point estimate for mortality 1.52 [1.30-1.78] and institutionalisation 1.86 [1.52-2.29]; class 4, 70-year-old point estimate for mortality 2.74 [2.44-3.08] and institutionalisation 3.11 [2.60-3.70]).

CONCLUSIONS

We distinguished three types of polypharmacy with varying pharmacotherapeutic and clinical appropriateness. Our results highlight the value of looking beyond the number of medications to assess polypharmacy.

Are pharmacists' knowledge and practice the key to promoting deprescribing of potentially inappropriate medication: a missing link between treatment and outcomes

OBJECTIVES

Deprescribing is a novel strategy whereby medical professionals aim to optimize a patient's prescription program by removing redundant medications. Few studies have looked at the viewpoints of community pharmacists and other healthcare professionals on deprescribing in daily practice. This study's objectives included evaluating community pharmacists' deprescribing knowledge, attitudes and practices, as well as identifying the obstacles to and enablers of deprescribing in daily practice.

METHODS

Five pharmacy students in the last year of their studies polled employees of neighbourhood pharmacies in Abu Dhabi, Dubai, and the Northern Emirates from April 2022 to July 2022. The study's questionnaire was divided into two sections: questions that inquired about the respondents' demographic data and questions that evaluated the respondents' understanding and usage of the deprescribing of potentially harmful medications for patients. The original Bloom's cutoff points were revised and modified to assess the general knowledge and deprescribing practices of United Arab Emirates (UAE) community pharmacists. Multivariate logistic regression identified the variables influencing respondents' deprescribing knowledge and practice.

KEY FINDINGS

The average age of the participants was 30.8 ± 6.4 SD. Of the total, 255 (37.7%) were male and 422 (62.3%) were female. Pharmacists from independent pharmacies constituted 52.9% of the study sample and 47.1% were from Chain pharmacies. Among the participants, 58.8% (n = 398) had 1-5 years of experience and 41.2% (n = 279) had more than 5 years. Nearly three-quarters of the pharmacists (72.1%, 488) graduated from local universities and 27.9% (n = 189) graduated from regional/international universities. The vast majority of the study sample (84.8%, 574) were bachelor's degree holders and 88.3% (n = 598) were pharmacists in charge. Of the total, 69.3% (n = 469) received deprescribing training to treat patients with multimorbid diseases. The knowledge and practice score was 71.3% with a 95% confidence interval [70.2%, 72.4%]. Of the total participants, 113 (16.7%) had poor knowledge and practice about deprescribing, 393 (58.1%) had moderate knowledge and practice and 171 (25.3%) had good knowledge and practice.

CONCLUSION

This study highlights the level of understanding of community pharmacists about deprescribing in the UAE. Although most of the respondents in this study received training on deprescribing, less than half of the community pharmacists were unaware of certain classes (long-acting sulfonylureas, anti-diabetic, antihyperlipidemic and psychotropic drugs) of drugs that are candidates for potential deprescribing. This finding indicates that their knowledge about deprescribing was insufficient. Several barriers community pharmacists face in deprescribing were also identified, with patients' resistance and insufficience being the most prevalent. Therefore, there is a need for improved deprescribing practices to ensure drug safety.

Implementation and evaluation of STOPP/START criteria to address polypharmacy in older adults in an inpatient psychiatric setting

Background

There is a scarcity of research in applying the Screening Tool of Older Person's Prescriptions/Screening Tool to Alert to Right Treatment (STOPP/START) criteria to older adults admitted to a psychiatric hospital.

Objectives

The primary aim of this study was to determine the extent of polypharmacy in older adults admitted to a psychiatric hospital and to assess the number of STOPP/START triggers detected and recommended by pharmacists. Secondary objectives include evaluating if the STOPP/START criteria is a useful tool to improve prescribing in this setting by assessing the implementation rates of STOPP/START triggers.

Methods

This was a prospective, longitudinal study in a psychiatry inpatient setting. Data were collected over a 7-week period. Explicit informed consent was obtained from participants. Medication reconciliation was completed and participants' medications were reviewed using STOPP/START criteria. The number of STOPP/START triggers detected, recommended and implemented was recorded.

Results

Sixty-two patients were included in the study. Ninety-four percent were prescribed ≥5 medications and 55% were prescribed ≥10 medications on admission. The mean number of medications prescribed per patient increased from 10 on admission to 12 at follow-up. Of 174 Potential Inappropriate Medications (PIMs) detected, 41% were recommended for review and, of these only 31% were implemented. 27% of the 77 Potential Prescribing Omissions (PPOs) detected were recommended for review and only 23% of those were implemented.

Conclusion

STOPP/START did not reduce the prevalence of polypharmacy in this setting. The implementation rates observed in this study were much lower than those observed in non-psychiatric settings.

Frequency, severity, and factors associated with clinically significant drug-drug interactions among patients with cancer attending Mbarara Regional Referral Hospital Cancer Unit, Uganda

BACKGROUND

Cancer is a major public health problem with pharmacotherapy being the cornerstone of its management. Cancer patients receive multiple drugs concurrently risking Drug-Drug Interactions (DDIs). DDIs, though avoidable, can significantly contribute to morbidity, mortality, and increased healthcare costs in this population of patients. Currently, there is no published study from Uganda on clinically significant DDIs (cs-DDIs) among cancer patients. This study identifies frequency, severity, and factors associated with cs-DDIs at Mbarara Regional Referral Hospital Cancer Unit (MRRHCU).

METHOD

A cross-sectional study was conducted among 300 cancer patients receiving chemotherapy from a tertiary care hospital in western Uganda from January-February 2022. A questionnaire and data collection form were used to collect patient data. Lexicomp® Drug interaction software was used to screen the patient drug information for DDIs and assess their severity. Predictors of DDIs were identified using logistic regression using SPSS (Statistical Package for Social Sciences).

RESULT

Three hundred participants were enrolled with a mean age of 48 ± 23.3 years. One hundred eighty-one patients experienced 495 cs-DDIs; with a mean of 1.7 ± 2.2. The prevalence of cs-DDI was 60.3% (55.0-66.0% at 95% CI). Digestive organ neoplasms were the most commonly (80, 26.7%) diagnosed category, and 'plant alkaloids and other natural products were the most frequently (143, 47.7%) used chemotherapeutic drug classes. About three-quarters of cs-DDIs were rated as category C risk (367, 74.1%) whereas over two-thirds (355, 71.7%) were moderate in severity.. Being female (aOR = 2.43 [1.23-4.48 at 95% CI]; P-value = 0.011) and use of ≥ 6 drugs concurrently (aOR = 18.82 [9.58-36.95 at 95% CI]; P-value < 0.001)) were significantly associated with cs-DDIs.

CONCLUSION

More than half of the participants experienced at-least one cs-DDI which is generally higher than what was reported in high-income settings. About three-quarters were category C and moderate in severity, and require enhanced monitoring for safety and treatment outcome. Being female and using ≥ 6 drugs were significantly associated with cs-DDIs.

Direct-to-consumer strategies to promote deprescribing in primary care: a pilot study

Background

Deprescribing, or the intentional discontinuation or dose-reduction of medications, is an approach to reduce harms associated with inappropriate medication use. We sought to determine how direct-to-patient educational materials impacted patient-provider discussion about and deprescribing of potentially inappropriate medications.

Methods

We conducted a pre-post pilot trial, using an historical control group, at an urban VA medical center. We included patients in one of two cohorts: 1) chronic proton pump inhibitor users (PPI), defined as use of any dose for 90 consecutive days, or 2) patients at hypoglycemia risk, defined by diabetes diagnosis; prescription for insulin or sulfonylurea; hemoglobin A1c < 7%; and age ≥ 65 years, renal insufficiency, or cognitive impairment. The intervention consisted of mailing medication-specific patient-centered EMPOWER (Eliminating Medications Through Patient Ownership of End Results) brochures, adapted to a Veteran patient population, two weeks prior to scheduled primary care appointments. Our primary outcome – deprescribing – was defined as clinical documentation of target medication discontinuation or dose-reduction. Our secondary outcome was documentation of a discussion about the target medication (yes/possible vs. no/absent). Covariates included age, sex, race, specified comorbidities, medications, and utilization. We used chi-square tests to examine the association of receiving brochures with each outcome.

Results

The 348 subjects (253 intervention, 95 historical control) were primarily age ≥ 65 years, white, and male. Compared to control subjects, intervention subjects were more likely to have deprescribing (36 [14.2%] vs. 4 [4.2%], p = 0.009) and discussions about the target medication (31 [12.3%] vs. 1 [1.1%], p = 0.001).

Conclusions

Targeted mailings of EMPOWER brochures temporally linked to a scheduled visit in primary care clinics are a low-cost, low-technology method associated with increases in both deprescribing and documentation of patient-provider medication discussions in a Veteran population. Leveraging the potential for patients to initiate deprescribing discussions within clinical encounters is a promising strategy to reduce drug burden and decrease adverse drug effects and harms.

Angiotensin II receptor blockers (ARBs) and manufacturing contamination: A retrospective National Register Study into suspected associated adverse drug reactions

AIMS

The aim of this study was to determine if any suspected adverse drug reactions (ADRs) observed with the use of angiotensin II receptor blockers (ARBs) could be linked to either (a) their unique respective physicochemical and pharmacological profiles and (b) the recently disclosed suspected carcinogenic manufacturing contaminants found in certain sartan drug class batches.

METHODS

The pharmacology profiles of ARBs were data-mined from the Chemical Database of bioactive molecules with drug-like properties, European Molecular Biology Laboratory (ChEMBL). Suspected ADR data (from 01/2016-10/2022, inclusive) and prescribing rates of ARBs over a 5-year prescribing window (from 09/2016 to 08/2021, inclusive) were obtained via analysis of the United Kingdom Medicines and Healthcare products Regulatory Authority (MHRA) Yellow Card drug analysis profile and Open prescribing databases, respectively.

RESULTS

The overall suspected ADRs and fatalities per 100 000 prescriptions identified across the ARBs studied were found to be different between the sartan drug class members (chi-squared test, P < .05). There is a greater relative rate of reports for valsartan across all investigated organ classes of ADRs, than other ARBs, despite valsartan's more limited pharmacological profile and similar physicochemical properties to other sartans. The disparity in ADR reporting rates with valsartan vs other ARBs could be due to the dissimilarity in formulation excipients, patient factors and publicity surrounding batch contaminations, amongst others. Cancer-related ADRs and fatalities per 100 000 prescriptions identified across the ARBs studied are not statistically significant (chi-squared test, P > .05) based on the datasets used over the 5-year period.

CONCLUSION

No connection between ARB pharmacology and their suspected ADRs could be found. No conclusion between sartan batch contaminations and increased suspected cancer-related ADRs was found.

Iatrogenic Burden of Atopic Dermatitis

ABSTRACT

The management required for atopic dermatitis (AD) may worsen patient burden, thereby resulting in iatrogenic burden, that is, morbidity caused by medical treatment. We sought to describe the iatrogenic burden of AD and conducted a narrative review of key areas that clinicians can address to minimize it. Clinicians should think strategically about itch trigger avoidance, encourage slow incorporation of lifestyle changes, and emphasize step-up therapy when avoidance becomes too burdensome. Out-of-pocket treatment costs should be incorporated into shared decision making to balance affordability, preference, efficacy, and safety. Polypharmacy should be minimized by eliminating ineffective, nonevidence-based, and redundant therapies while appropriately stepping up to advanced therapy. Clinicians should take adequate time to communicate, the impact of AD on quality of life, and incorporate evidence-based guidelines. The multidimensional nature of AD requires a dynamic approach. Future guidelines should incorporate step-up, step-down, and maintenance approaches to reduce treatment burden and improve quality of life.

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.

Elderly Population Has Higher Prevalence of Polypharmacy Associated with Poor Quality of Life and Low Compliance after Recovery from COVID-19

Background

Long term effects of COVID are not fully understood yet. The geriatric population has been badly affected. The impact of COVID-19 on the health-related quality of life after recovery and patient compliance is a matter of concern especially in the geriatric population where polypharmacy is often prevalent.

Aims and Objectives

This study intended to observe the occurrence of polypharmacy (PP) among COVID-19 recovered older patients with multimorbidity and explore its association with health-related quality of life and compliance in these patients.

Materials and Methods

Total 90 patients, above 60 years of age having two or more co-morbidities and recovered from COVID-19 infection were included in this cross-sectional study. Number of pills taken daily by each patient was noted, to determine the occurrence of PP. WHO-QOL-BREF was used to assess the effect of PP on health-related quality of life (HRQOL). Medication adherence was measured using a self-reported questionnaire.

Results

PP was found in 94.4% while hyper polypharmacy was found in 45.56% of patients. The overall mean score of HRQOL in patients with PP was 187.91 ± 32.98, indicating poor quality of life with PP (p value 0.0014) whereas the overall mean score of HRQOL in patients with hyper polypharmacy was 177.41 ± 26.11, showing poor quality of life with hyper polypharmacy (p value 0.0005). Increased number of pills corelated with poor quality of life (r =0.49). The medication adherence was found to be poor in patients who received mean number of pills 10.44 ± 2.62 whereas the adherence was good if the mean number of pills was 8.20 ± 2.63, (p value of 0.0001).

Conclusion

Polypharmacy is highly prevalent among COVID-19 recovered patients and is associated with poor quality of life as well as poor medication adherence.

The National Programme for Health Care of the Elderly: A Review of its Achievements and Challenges in India

Aging care is critical. Projections for 2020 indicate that India’s older population will comprise 6.57% of the overall population. The best-known newly developed technologies must be provided to the older population. Non-governmental organizations and private institutions are increasingly providing more door-to-door guidance and help. This study evaluated the impact of the National Programme for Health Care of the Elderly (NPHCE) in India and analyzed its achievements and challenges. The program’s key strategies include providing preventive and promotional care and sickness management, empowering geriatric services, and guaranteeing optimal rehabilitation. The NPHCE is an excellent project for caring for a rapidly aging population. This study described the existing programs and schemes related to older people in India, with a focus on the NPHCE and an analysis of the program’s achievements and challenges.

Relationships first: Formal and informal home care of older adults in Sweden

To a great extent, older people in Sweden, often with extensive care needs, are cared for in their own home. Support is often needed from both family and professional caregivers. This study aimed to describe and analyse different aspects of health, functioning and social networks, and how they relate to formal and informal care in the home among older adults. Analyses were performed utilising data from the OCTO-2 study, with a sample of 317 people living in Jönköping County, aged 75, 80, 85 or 90 years, living in their own homes. Data were collected with in-person-testing. Based on receipt of care, the participants were divided into three groups: no care, informal care only, and formal care with or without informal care. Descriptive statistics and multinomial regression analysis were performed to explore the associations between received care and different aspects of health (such as multimorbidity, polypharmacy), social networks (such as loneliness, number of confidants) and functioning (such as managing daily life). The findings demonstrate that the majority of the participants received no care at home (61%). Multimorbidity and polypharmacy were more common among those receiving some kind of care in comparison to those who received no care; moreover, those receiving some kind of care also had difficulties managing daily life and less satisfaction with their social networks. The multinomial logistic regression analyses demonstrated that age, functioning in daily life, perceived general health and satisfaction with the number of confidants were related to receipt of care, but the associations among these factors differed depending on the type of care that was received. The results show the importance of a holistic perspective that includes the older person's experiences when planning home care. The results also highlight the importance of considering social perspectives and relationships in home care rather than focusing only on health factors.

Polypharmacy and potentially inappropriate medications in stroke rehabilitation: prevalence and association with outcomes

Background Evidence is scarce regarding polypharmacy and potentially inappropriate medications (PIMs) in rehabilitation medicine. Aim To investigate the prevalence of polypharmacy and PIMs and their association with outcomes in stroke rehabilitation. Method A retrospective cohort study was conducted with 849 older inpatients post-stroke. Polypharmacy was defined as six or more medications, and PIMs were defined based on Beers criteria 2019. Study outcomes included functional independence measure (FIM)-motor, FIM-cognitive, energy intake, dysphagia, length of hospital stay, and the rate of home discharge. To consider the effect of pharmacotherapy during rehabilitation, multivariate analyses were used to determine whether the presence of polypharmacy or PIMs at discharge was associated with outcomes. Results After enrollment, 361 patients (mean age 78.3 ± 7.7 years; 49.3% male) were analyzed. Polypharmacy was observed in 43.8% and 62.9% of patients, and any PIMs were observed in 64.8% and 65.4% of patients at admission and discharge, respectively. The most frequently prescribed PIMs included antipsychotics, benzodiazepines, and proton pump inhibitors. Polypharmacy was negatively associated with FIM-motor score (β = - 0.062, P = 0.049), FIM-cognitive score (β = - 0.076, P = 0.014), energy intake (β = - 0.143, P = 0.005), and home discharge (OR: 0.458; 95% CI: 0.248, 0.847; P = 0.013). PIMs were negatively associated with home discharge (OR: 0.375; 95% CI: 0.195, 0.718; P = 0.003). Conclusion Polypharmacy and PIMs are commonly found among older patients undergoing stroke rehabilitation. Moreover, polypharmacy was negatively associated with activities of daily living (ADL) but not with PIMs and ADLs, and both were associated with home discharge.

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.

Does Having a Usual Primary Care Provider Reduce Polypharmacy Behaviors of Patients With Chronic Disease? A Retrospective Study in Hubei Province, China

Background: Within China's hierarchical medical system, many patients seek medical care in different hospitals independently without integrated management. As a result, multi-hospital visiting is associated with fragmented service utilization and increased incidence of polypharmacy behaviors, especially for patients with chronic disease. It has been confirmed that factors from the perspective of patients may cause polypharmacy behaviors in Chinese community patients; whether having a usual primary care provider for chronic disease patients could reduce the polypharmacy behaviors and the effect size remains unanswered, and that is what our study aimed to answer.

Methods: Our study adopted a cluster sampling method to select 1,196 patients with hypertension or diabetes and measured some information about them. The propensity score weighting method was adopted to eliminate the influence of confounding bias, and then a multivariate logistic regression model was conducted to test the relationship between having a usual primary care provider and polypharmacy behaviors.

Results: Patients without usual primary care providers were significantly correlated with polypharmacy behaviors (OR = 2.40, 95%CI: 1.74–3.32, p < 0.001), and the corresponding marginal effect is 0.09 (95%CI: 0.06–0.12). Patients who suffer from two kinds of diseases (OR = 3.05, 95%CI: 1.87–5.10, p < 0.001), with more than three kinds of diseases (OR = 21.03, 95%CI: 12.83–35.65, p < 0.001), with disease history of 20 years and above (OR = 1.66, 95%CI: 1.14–2.42, p = 0.008), who communicate frequently with doctors (OR = 3.14, 95%CI: 1.62–6.19, p < 0.001), alcoholic patients (OR = 2.14, 95%CI: 1.08–4.19, p = 0.027), who used to have meat-based food (OR = 1.42, 95%CI: 1.00–2.00, p = 0.049), and have vegetarian-based diet (OR = 1.42, 95%CI: 1.00–2.00, p = 0.049) are more likely to have polypharmacy behaviors, while patients aged between 65 and 75 years (OR = 0.50, 95%CI: 0.33–0.77, p = 0.020), used to be brain workers (OR = 0.67, 95%CI: 0.45–0.99, p = 0.048), with disease history between 10 and 20 years (OR = 0.56, 95%CI: 0.37–0.83, p = 0.005), have had adverse drug reactions (OR = 0.64, 95%CI: 0.45–0.93, p = 0.019), and participated in medical insurance for urban and rural residents (OR = 0.35, 95%CI: 0.21–0.58, p < 0.001) were less likely to have polypharmacy behaviors.

Conclusion: The results suggest that having a usual primary care provider may reduce the incidence of having polypharmacy behaviors; we can take intervention measures to promote establishing a long-term relationship between patients and primary care providers.

Development and Validation of ‘Prediction of Adverse Drug Reactions in Older Inpatients (PADROI)’ Risk Assessment Tool

Background

Adverse drug reactions (ADR) detection and prediction methods in hospitalized older adults remain imprecise. The identification of the risk factors for ADRs in this group of patients is crucial to develop plausible prediction models.

Objective

This study aimed at developing and validating a “Prediction of ADR in Older Inpatients (PADROI)” risk assessment tool in hospitalized older adults.

Methods and Materials

We had previously conducted a derivational study that aimed to determine the risk factors of ADRs in hospitalized older adults. We developed the PADROI model as a potential ADR risk assessment tool incorporating 8 predictors each given a score by rounding off the respective adjusted odds ratios (AORs) to the nearest whole number. Subsequently, we conducted another prospective cohort among adults aged 60 years and older admitted to Gynecology and Obstetrics, Medical, Oncology, Surgery, and Psychiatry wards at Mbarara Regional Referral Hospital (MRRH) from July 5 to September 17, 2021.

Results

A total of 124 participants, 70 females and 54 males aged 60–95 years, were included in this validation cohort; 62 of them experienced 90 ADRs. When applied to the derivational cohort, the area under receiver operating characteristic curve (AUROC) for the PADROI model was shown to be 0.896 (0.869–0.923; at 95% CI). In the validation study, AUROC of PADROI was 0.917 (0.864–0.971 at 95% CI; p < 0.001). Overall, PADROI correctly predicted 91.7% of those who experienced an ADR.

Conclusion

Using the adjusted odds ratios from our derivational cohort, we developed an ADR prediction tool (PADROI) that achieved an excellent AUROC (0.917), high sensitivity (87.1%) and specificity (90.3%). The current model demonstrated a high potential for clinical applicability which can be strengthened if similar results are reproduced in larger and multi-centered studies.

Cardiac rehabilitation in older adults: Apropos yet significantly underutilized

Cardiac Rehabilitation (CR) is a comprehensive disease management program that utilizes exercise training, behavioral modification, education, and psychosocial counseling to optimize outcomes and functionality in patients with cardiovascular disease (CVD)1). While CR was initially designed as an exercise training and fitness program for younger patients, usually men, after debilitating hospitalizations for myocardial infarction or cardiac surgery, evidence has expanded to also include other types of CVD in women as well as men, including heart failure, valvular disease, and peripheral arterial disease2-4). As the population of older adults continues to expand, age-related CVD is endemic and is commonly associated with exercise decline, diminished quality of life, and dependence. CR has the potential to counterbalance these patterns, and therefore stands out as a particularly important consideration for older adults with CVD. Nevertheless, CR remains highly underutilized5,6). Novel approaches to CR including home-based and hybrid CR programs show promise for enhanced outreach to patients who may not otherwise participate. This review summarizes the current data available regarding CR in older adults with CVD with a focus on geriatric-specific complexities, current barriers to utilization, and approaches to enhance participation and effectiveness.

Mapping Drug Prescription, Polypharmacy, and Pharmaceutical Spending in Older Adults in Iran: A Multilevel Analysis Based on Claims Data

Background: To date, comprehensive data on drug utilization in Iranian people are lacking. The purpose of this study was to graphically describe drug prescription, polypharmacy, and pharmaceutical spending in > 3 million Iranian elderly people. Methods: In this multilevel cross-sectional study, using administrative claims data provided by the Iran Health Insurance Organization (IHIO), we assessed drug claims and drug costs in 2018 in >3 million individuals living in Iran and who have been insured with health insurance (Bimeh Salamat). In particular, we analyzed the prevalence of polypharmacy and pharmaceutical spending use according to the annual Report of Iranian Health Insurance Organization. Multilevel ordinal logistic and multilevel beta regression models were used to analyze the data. Significance level was set as P ≤ .05 and CI at 95%. Results: Nationally, the mean number of drug prescriptions per patient was 1.46 (SD, 0.81). The mean number of prescribed drugs per patient was 4.32 (SD, = 3.04). The drug cost for each elderly patient was $6.86 (interquartile range (IQR), 12.26), with $4.96 and $1.76 for the insurance and the insured shares, respectively. For elderly women, the odds of polypharmacy (excessive and nonexcessive vs no polypharmacy) were 1.164 (95% CI, 1.142 to 1.186) times that of elderly men. In addition, in the spring season, the odds of polypharmacy were 1.274 (95% CI, 1.241 to 1.309) times that of the winter. Similarly, polypharmacy was strongly higher among patients who had noncommunicable diseases (OR, 2.174; 95% CI, 2.069 to 2.275 (P < 0.001)). Conclusion: The high prevalence of hyper prescription in Iran elderly people may indicate a need for interventions aiming at deprescribing drugs with an unfavorable benefit-risk profile. The best practice guidelines should be developed for improved medical practice in the prescription of medications for such a vulnerable population.

Prescription drug survey of elderly patients with degenerative musculoskeletal disorders

AIMS

Elderly patients with musculoskeletal disorders are generally expected to receive many prescription drugs for non-musculoskeletal comorbidities and for alleviating chronic musculoskeletal pains. The aims of this study were to review the use of prescription drugs in elderly patients with elective surgeries for musculoskeletal disorders and to identify the factors associated with polypharmacy in elderly patients with musculoskeletal disorders.

METHODS

We retrospectively collected the clinical data of patients aged ≥65 years who underwent knee arthroplasty, total hip arthroplasty, or spinal surgery for lumbar or cervical degenerative disorders at our institution. The following data were evaluated: age, body mass index, sex, surgical site, prescription drugs used, American Society of Anesthesiologists physical status grade, and medical history, including hypertension, hyperlipidemia, diabetes, stroke, malignancy, and smoking. Polypharmacy was defined as the use of six or more drugs.

RESULTS

In the present study, 767 consecutive patients were evaluated retrospectively. The prevalence of polypharmacy was >50% in the elderly patients with musculoskeletal disorders. The mean numbers of total drugs and pain relief medications were significantly higher in the lumbar surgery group than in the other surgery groups. Multivariable analysis revealed that the factors associated with polypharmacy were lumbar surgery, hypertension, hyperlipidemia, diabetes, and malignancy.

CONCLUSIONS

This is the first study to cross-sectionally review the drugs prescribed to patients with degenerative musculoskeletal disorders. It clearly identified the factors associated with polypharmacy in elderly patients with degenerative musculoskeletal disorders. Particular attention should be paid to polypharmacy in elderly patients with lumbar degenerative disorders. Geriatr Gerontol Int 2021; ••: ••-••.

The impact of treatment choices on potential drug-drug interactions in hypertensive patients

AIMS

The aim of this study was to analyse potential drug-drug interactions (pDDIs) and their potential adverse drug reactions (ADRs) among hypertensive patients. Moreover, we investigated the possibility of reducing pDDIs with different treatment choices.

METHODS

This was a cross-sectional study including all outpatients with hypertension and two or more medications, treated in a university hospital in Serbia. Lexicomp Interact (Lexi-Comp, Inc., Hudson, OH) was used for identification of pDDIs and potential ADRs. Treatment choices were explored according to patient characteristics, treatment guidelines and the interacting potential of drugs. Data were analysed using descriptive analysis and multiple logistic regression.

RESULTS

A total of 350 patients were included in this study, with average age (77 [36-98] years and 6.1 [2.5]) medications. The majority of patients (86.0%) had at least one clinically significant pDDI, and the average was 3.78 (3.90) (range 1-25). Suggestions for treatment change aimed mainly at eliminating drug duplications, reducing the use of thiazide diuretics, sulfonylureas, alpha-lipoic acid and pentoxifylline and increasing the use of calcium-channel blockers, when appropriate. pDDIs would have decreased to 2.10 (2.52), P <.001, yet male gender, ≥6 medications, cardiovascular diseases, diabetes, benign prostatic hyperplasia, would be predictive of two or more pDDIs. The main potential adverse outcomes of pDDIs were hypotension, renal failure, hypoglycaemia, bradycardia and lactic acidosis.

CONCLUSION

Careful choice of drugs can reduce but not eliminate pDDIs and their potential ADRs in hypertensive patients. Close monitoring for hypotension, renal failure, hypoglycaemia, bradycardia and lactic acidosis is necessary.

The detection and prevention of adverse drug events in nursing home and home care patients: Study protocol of a quasi-experimental study

AIM

To estimate the cost-effectiveness of an intervention facilitating the early detection of adverse drug events through the means of health professional training and the application of a digital screening tool.

DESIGN

Multi-centred non-randomized controlled trial from August 2018 to March 2020 including 65 nursing homes or home care providers.

METHODS

We aim to estimate the effect of the intervention on the rate of adverse drug events as primary outcome through a quasi-experimental empirical study design. As secondary outcomes, we use hospital admissions and falls. All outcomes will be measured on patient-month level. Once the causal effect of the intervention is estimated, cost-effectiveness will be calculated. For cost-effectiveness, we include all patient costs observed by the German statutory health insurance.

RESULTS

The results of this study will inform about the cost-effectiveness of the optimized drug supply intervention and provide evidence for potential reimbursement within the German statutory health insurance system.

Identification of Five Quality Needs for Rheumatology (Text Analysis and Literature Review)

Background: While the use of the term "quality" in industry relates to the basic idea of making processes measurable and standardizing processes, medicine focuses on achieving health goals that go far beyond the mere implementation of diagnostic and therapeutic processes. However, the quality management systems used are often simple, self-created concepts that concentrate on administrative processes without considering the quality of the results, which is essential for the patient. For several rheumatic diseases, both outcome and treatment goals have been defined. This work summarizes current mainstreams of strategies with published quality efforts in rheumatology. Methods: PubMed, Cochrane Library, and Web of Science were used to search for studies, and additional manual searches were carried out. Screening and content evaluation were carried out using the PRISMA-P 2015 checklist. After duplicate search in the Endnote reference management software (version X9.1), the software Rayyan QCRI (https://rayyan.qcri.org) was applied to check for pre-defined inclusion and exclusion criteria. Abstracts and full texts were screened and rated using Voyant Tools (https://voyant-tools.org/). Key issues were identified using the collocate analysis. Results: The number of selected publications was small but specific (14 relevant correlations with coefficients >0.8). Using trend analysis, 15 publications with relative frequency of keywords >0.0125 were used for content analysis, revealing 5 quality needs. The treat to target (T2T) initiative was identified as fundamental paradigm. Outcome parameters required for T2T also allow quality assessments in routine clinical work. Quality care by multidisciplinary teams also focusing on polypharmacy and other quality aspects become essential, A global software platform to assess quality aspects is missing. Such an approach requires reporting of multiple outcome parameters according to evidence-based clinical guidelines and recommendations for the different rheumatic diseases. All health aspects defined by the WHO (physical, mental, and social health) have to be integrated into the management of rheumatic patients. Conclusion: For the future, quality projects need goals defined by T2T based initiatives in routine clinical work, secondary quality goals include multidisciplinary cooperation and reduction of polypharmacy. Quality indicators and standards in different health systems will provide new information to optimize patients' care in different health systems.

The Prevalence of Drug-Drug Interactions with Antiretroviral Therapy in Human Immunodeficiency Virus-Infected Patients in the Intensive Care Unit

Background: Persons living with human immunodeficiency virus (HIV) (PWH) on antiretroviral therapy (ART) are frequently admitted to the intensive care unit (ICU). Persons living with HIV on ART may be at higher risk for potential drug-drug interactions (pDDIs) due to polypharmacy in the ICU. We determined the prevalence of pDDI with ART in critically ill PWH. Objectives: The primary outcome was prevalence of pDDI between ART and ICU medications. Secondary outcomes included pDDI per ICU admission, pDDI severity, ICU, and hospital length of stay (LOS). Methods: A single-center, retrospective cohort evaluating PWH ≥ 18 years old admitted to the ICU for > 24 hours who received ART during ICU admission, between January 2013 and 2015 at a tertiary care hospital in the United States. Each ICU admission was counted as a separate encounter. Medication databases and chart review were used to identify pDDI. Results: We included 77 PWH encounters; mean age was 55 ± 9 years and 65% were male. We identified 208 pDDIs among 53/77 (68.8%), with a mean 4 ± 2 pDDI per ICU admission. Antipsychotics (20%), analgesics (20%), and anti-lipemics (11%) were the most common ICU medications with ART-related pDDI. Of the pDDI, 64% were major, 24% moderate, and 12% contraindicated. Median ICU and hospital LOS were 4 days (IQR: 3-5) and 11 days (IQR: 7-31), respectively. Conclusion: Most PWH had at least one pDDI during ICU admission. Collaborations among pharmacists, intensivists, and infectious disease/HIV specialists to develop effective, actionable strategies, such as electronic health record alerts, could reduce pDDIs for PWH on ART in the ICU.

Polypharmacy trajectories among older women with and without dementia: A longitudinal cohort study

Background

Objective

Method

Results

Conclusion

Deprescribing practice in a resource-limited setting: Healthcare providers' insights

AIMS

Inappropriate polypharmacy poses risks of adverse drug events, high healthcare costs and mortality. Deprescribing could minimise inappropriate polypharmacy and the consequences thereof. The aim of this study was to evaluate healthcare providers' (HCPs') attitudes toward and experiences with deprescribing practice in Ethiopia.

METHODS

We conducted an institution-based cross-sectional survey among HCPs at the University of Gondar Comprehensive Specialized Hospital, Ethiopia. We used a validated questionnaire developed by Linsky et al. The tool included questions that explore medication characteristics, current patient clinical factors, predictions of future health states, patients' resources to manage their own health and education and experience. One-way ANOVA was used to test the association between sociodemographic variables and their perception of deprescribing decisions.

RESULTS

Of 85 HCPs approached, about 82 HCPs completed the survey, giving a response rate of 96.5%. Most of the participants (n = 73, 89%) have scored less than 1.5 points showing they are reluctant to proactively deprescribe. Physicians seem to be affected by the significant physical health conditions (mean = 1.68) and clinical endpoint like blood pressure (mean = 1.5) to make deprescribing decisions. According to the post hoc analysis of one-way ANOVA, clinical pharmacists seemed to have a better attitude toward deprescribing decisions compared with physicians (P = .025).

CONCLUSION

HCPs' decision to discontinue a medication could be multifactorial. Physicians could be influenced by physical health condition and clinical endpoints for deprescribing decision. Future studies should emphasise on barriers and facilitators to deprescribing practice specific to the context in Ethiopia.

The Prevalence of Potentially Inappropriate Prescribing in the Elderly at the Primary Care Level in Kazakhstan

BACKGROUND: These potentially inappropriate prescribing is associated with the development of undesired medical reactions in elderly patients, and increase the frequency of hospitalizations, the number of aggravations and the cost of treatment. All of these adverse events are preventable. For detection of PIP and to prevent the adverse drug reactions (ADRs) in elderly patients, it is necessary to screen for potentially inappropriate prescribing. AIM: The aim of the study is to study the prevalence of PIP and the factors associated with these prescriptions at the level primary link in Kazakhstan. METHODS: A prospective descriptive study was carried out at the primary care level, in five clinics in Kazakhstan. The study involved 205 patients over 65 years old who received regular outpatient treatment for chronic diseases. Patients’ current diagnoses and prescription medicines were reviewed and the STOPP and START tools applied. RESULT: The prevalence of PIP in terms of STOPP criteria was 54% (114 patients). In general, we have identified 181 cases of PIP. The most commonly prescribed PIP were moxonidine (20%), glimeperide (16.5%), and PPI (20%). The prevalence of prescribing omissions in terms of START criteria was 22% (48 patients). Overall 66 cases of prescribing omissions were identified. The most commonly prescribed omissions were statins (6%) and ACE inhibitors (4%). Comparative analysis revealed a statistically significant effect of polymorbidity on the prevalence of PIP (p < 0.001) and number of prescribed medicines on the prevalence of PIP (p < 0.05). We have found a statistically significant effect of age on the presence of prescribing omissions of patients. (p < 0.001) CONCLUSION: Our results showed a high prevalence of potentially inappropriate prescribing at the primary care level in Kazakhstan. Screening tools should be incorporated into the everyday practice of primary care doctors.

Falls in older adults after hospitalization for acute myocardial infarction

BACKGROUND

After hospitalization for acute myocardial infarction (AMI), older adults may be at increased risk for falls due to deconditioning, new medications, and worsening health status. Our primary objective was to identify risk factors for falls after AMI hospitalization among adults over age 75.

METHODS

We used data from the Comprehensive Evaluation of Risk Factors in Older Patients with AMI (SILVER-AMI) study, a prospective cohort study of 3041 adults age 75 and older hospitalized with AMI at 94 community and academic medical centers across the United States. In-person interviews and physical assessments, as well as medical record review, were performed to collect demographic, clinical, functional, and psychosocial data. Falls were self-reported in telephone interviews and medically serious falls (those associated with emergency department use or hospitalization) were determined by medical record adjudication. Backward selection was used to identify predictors of fall risk in logistic regression analysis.

RESULTS

A total of 554 (21.6%) participants reported a fall and 191 (6.4%) had a medically serious fall within 6 months of discharge. Factors independently associated with self-reported falls included impaired mobility, prior fall history, longer hospital stay, visual impairment, and weak grip. Factors independently associated with medically serious falls included older age, polypharmacy, impaired functional mobility, prior fall history, and living alone.

CONCLUSIONS

Among older patients hospitalized for AMI, falls are common in the 6 months following discharge and associated with demographic, functional, and clinical factors that are readily identifiable. Fall risk should be considered in post-AMI clinical decision-making and interventions to prevent falls should be evaluated.

Polypharmacy and mortality association by chronic kidney disease status: The REasons for Geographic And Racial Differences in Stroke Study

Many Americans take multiple medications simultaneously (polypharmacy). Polypharmacy's effects on mortality are uncertain. We endeavored to assess the association between polypharmacy and mortality in a large U.S. cohort and examine potential effect modification by chronic kidney disease (CKD) status. The REasons for Geographic And Racial Differences in Stroke cohort data (n = 29 627, comprised of U.S. black and white adults) were used. During a baseline home visit, pill bottle inspections ascertained medications used in the previous 2 weeks. Polypharmacy status (major [≥8 ingredients], minor [6-7 ingredients], and none [0-5 ingredients]) was determined by counting the total number of generic ingredients. Cox models (time-on-study and age-time-scale methods) assessed the association between polypharmacy and mortality. Alternative models examined confounding by indication and possible effect modification by CKD. Over 4.9 years median follow-up, 2538 deaths were observed. Major polypharmacy was associated with increased mortality in all models, with hazard ratios and 95% confidence intervals ranging from 1.22 (1.07-1.40) to 2.35 (2.15-2.56), with weaker associations in more adjusted models. Minor polypharmacy was associated with mortality in some, but not all, models. The polypharmacy-mortality association did not differ by CKD status. While residual confounding by indication cannot be excluded, in this large American cohort, major polypharmacy was consistently associated with mortality.

[Multidisciplinar revision of treatment in nursing home patients in COVID-19 context]

Objetivo

Durante la pandemia por COVID-19 se contó con un médico de apoyo a los centros sociosanitarios de nuestra Comunidad Autónoma, lo que permitió realizar una intervención multidisciplinar para revisar sistemáticamente la medicación prescrita a las personas institucionalizadas; el objetivo de este estudio es evaluar el impacto de esta intervención en la reducción del número de fármacos/paciente.

Métodos

Estudio multicéntrico prospectivo antes-después de una intervención en la que participan médicos y farmacéuticos de atención primaria en 4 centros sociosanitarios de menos de 50 residentes. Se realizó una revisión sistemática de la medicación a través de un algoritmo, donde se identificaron problemas relacionados con los medicamentos (PRM), los cuales fueron comunicados al médico por el farmacéutico de atención primaria a través de recomendaciones en la prescripción. Se midió el grado de aceptación por el médico de dichas recomendaciones.

Resultados

Se revisaron 121 pacientes con una edad media de 86,1 años (DE 7,2); el 87,6% eran mujeres. De estos, se pudo realizar la intervención en 98 pacientes que tomaban una media de 9,4 fármacos (DE 4,0), con una disminución estadísticamente significativa de -1,6 fármacos (IC95% -1,3 a -1,9) p< 0,001 después de la intervención. En estos, se detectaron 409 PRM, con una media de 4,2 PRM por paciente. Todos los PRM formaron parte de una recomendación, de las cuales fueron aceptadas 316 (77,3%). La mayoría de las recomendaciones fueron de prescripción o ajuste en la posología de un medicamento. Los psicofármacos, antihipertensivos y analgésicos fueron los grupos terapéuticos mayoritariamente implicados en los PRM detectados.

Conclusiones

Se ha observado una reducción estadísticamente significativa en el número medio de fármacos por paciente tras la intervención. Se han identificado PRM a través de la revisión sistemática de la medicación por el farmacéutico de atención primaria que han sido mayoritariamente aceptados por el médico.

Exploring the Determinants of Polypharmacy Prescribing and Dispensing Behaviours in Primary Care for the Elderly-Protocol for a Qualitative Study

Polypharmacy is becoming increasingly common, especially among the elderly. It often has a negative connotation, but is sometimes necessary or even desirable, and needed to categorize polypharmacy as appropriate or inappropriate. The challenge is in ensuring that this is considered appropriate when necessary. We aimed to develop an evidence-based intervention to reduce the risks associated with using a systematic approach, involving key stakeholders in prescribing and dispensing drugs to the elderly in primary care. The purpose of this study is to identify the key components which are perceived as influencing these behaviours. It is a qualitative study of general practitioners (GPS) and community pharmacists involved in the care of the elderly. The main inclusion criterion is the geographic location. Qualitative data will be generated from one-on-one, semi-structured interviews and processed for thematic content analysis. Our approach integrates the patient pathway in primary care. It considers the fact that GP and pharmacist behaviours are far from being independent. This study represents the first step in the process of developing an intervention theory which involves a crossover between data from the literature and the knowledge of experts, allowing us to interrogate hypotheses about the influences and mechanisms associated with prescribing and dispensing drugs to the elderly in primary care.

The use of single-pill combinations as first-line treatment for hypertension: translating guidelines into clinical practice

: The 2008 European Society of Cardiology/European Society of Hypertension guidelines recommend the first-line prescription of two antihypertensive drugs in single-pill combinations (SPCs), also known as fixed-dose combinations, for the treatment of most patients with hypertension. This recommendation is based on a large amount of data, which shows that first-line treatment with SPCs supports reaching blood pressure targets rapidly and reducing cardiovascular outcome risk while keeping the therapeutic strategies as simple as possible and fostering adherence and persistence. As this approach constitutes a big shift from the stepped-care approaches that have been dominant for many years, practicing physicians have expressed concerns about using SPCs as first-line agents. In this review, we will discuss the barriers to the uptake of this recommendation. We will also offer suggestions to reduce the impact of these barriers and address specific concerns that have been raised.

Polypharmacy and Malnutrition Management of Elderly Perioperative Patients with Cancer: A Systematic Review

Malnutrition, which commonly occurs in perioperative patients with cancer, leads to decreased muscle mass, hypoalbuminemia, and edema, thereby increasing the patient's risk of various complications. Thus, the nutritional management of perioperative patients with cancer should be focused on to ensure that surgical treatment is safe and effective, postoperative complications are prevented, and mortality is reduced. Pathophysiological and drug-induced factors in elderly patients with cancer are associated with the risk of developing malnutrition. Pathophysiological factors include the effects of tumors, cachexia, and anorexia of aging. Metabolic changes, such as inflammation, excess catabolism, and anabolic resistance in patients with tumor-induced cancer alter the body's ability to use essential nutrients. Drug-induced factors include the side effects of anticancer drugs and polypharmacy. Drug-drug, drug-disease, drug-nutrient, and drug-food interactions can significantly affect the patient's nutritional status. Furthermore, malnutrition may affect pharmacokinetics and pharmacodynamics, potentiate drug effects, and cause side effects. This review outlines polypharmacy and malnutrition, the impact of malnutrition on drug efficacy, drug-nutrient and drug-food interactions, and intervention effects on polypharmacy or cancer cachexia in elderly perioperative patients with cancer.