Do the 2015 Beers Criteria predict medication-related harm in older adults? Analysis from a multicentre prospective study in the United Kingdom

Evaluation of potentially inappropriate medications for the elderly according to beers, STOPP, START, and Chinese criteria

Objective: Polypharmacy prevalence is increasing worldwide, and it is becoming more popular among the elderly. This study aimed to compare the prevalence of potentially inappropriate medications (PIMs) using the Beers criteria (2019 edition), criteria for potentially inappropriate medications for older adults in China (Chinese criteria), Screening Tool of Older Persons' Prescriptions (STOPP), and Screening Tool to Alert to Right Treatment (START) criteria and to identify risk factors associated with PIM use. Methods: This was a cross-sectional study with a sample of 276 inpatients aged ≥65 years old from January 2020 to June 2020. A cross-sectional study was conducted to analyze PIMs based on the Beers (2019 edition), Chinese, STOPP, and START criteria. PIMs use was analysed based on four different criteria and logistic regression analysis was used to investigate independent factors associated with PIM use. Results: The mean number of medications used by the elderly population was nine (range, 0-28). A total of 252 patients (accounting for 91.30%) took five or more medications and 120 patients (accounting for 43.48%) took 10 or more medications. The prevalence rates of PIMs were 66.30% (183/276), 55.07% (152/276), 26.45% (73/276), and 64.13% (177/276) determined by the Beers, Chinese, STOPP, and START criteria, respectively. The top PIMs screened using the Beers, Chinese, and STOPP criteria were proton pump inhibitors, clopidogrel, and benzodiazepines, respectively. Missed use of ACEI in patients with systolic heart failure and/or coronary artery disease was found to be the most common potential prescription omission (PPOs) analyzed using the START criteria. Logistic regression analysis showed that the strongest predictor of PIMs, as determined by all four criteria, was an increased number of medications (p < 0.001). Age was another risk factor for PIMs based on the STOPP criteria in our study (p < 0.05). Conclusion: Polypharmacy and PIMs were common in our study, and the risk of PIMs correlated with polypharmacy. Application of the Beers, Chinese, STOPP, and START criteria is a useful tool for detecting PIM use.

The current view of potentially inappropriate medications (PIMs) among older adults in Saudi Arabia: a systematic review

Introduction: Potentially inappropriate medications PIMs are common among elderly population and becoming a global health issue. It has been associated with negative health consequences like preventable adverse drug reactions, hospitalization and mortality. Objectives: To investigate the most commonly potentially inappropriate medications in older adults in Saudi Arabia. Additionally, we aim to gain insights into the typical healthcare settings where healthcare providers offer services related to PIMs. Methods: This is a systematic review design using Preferred Reporting Items Systematic Reviews and Meta-Analysis (PRISMA) statement. PubMed and Google Scholar were used to search for the relevant studies using the following keywords (older adults, elderly, potentially inappropriate medications, inappropriate medications, PMIs, Saudi Arabia, Kingdom of Saudi Arabia) with no restrictions to the date of publications nor the study language. Results: Only 8 studies have met our inclusion and exclusion criteria, which was most of them were cross-sectional study design (n = 6.75%) and all of them have been conducted in hospital-based settings. In addition, the prevalence of PIMs ranged from 19% to 80% depends on the site and administration of the study. We have found that proton pump inhibitors, non-steroidal anti-inflammatory drugs, aspirin, diuretics, gastrointestinal medications, and antidepressants were the most common reported PIMs in the included studies. Conclusion: The prevalence of PIMs among the elderly in Saudi Arabia is notably high ranged from 19% to 80%, underscoring the need for additional research to assess the existing practices within this vulnerable demographic across various healthcare settings.

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.

Polypharmacy stewardship: a novel approach to tackle a major public health crisis

With growing global concern regarding medication-related harm, WHO launched a global patient safety challenge, Medication Without Harm, in March, 2017. Multimorbidity, polypharmacy, and fragmented health care (ie, patients attending appointments with multiple physicians in various health-care settings) are key drivers of medication-related harm, which can result in negative functional outcomes, high rates of hospitalisation, and excess morbidity and mortality, particularly in patients with frailty older than 75 years. Some studies have examined the effect of medication stewardship interventions in older patient cohorts, but focused on a narrow spectrum of potentially adverse medication practices, with mixed results. In response to the WHO challenge, we propose the novel concept of broad-spectrum polypharmacy stewardship, a coordinated intervention designed to improve the management of multimorbidities, taking into account potentially inappropriate medications, potential prescribing omissions, drug-drug and drug-disease interactions, and prescribing cascades, aligning treatment regimens with the condition, prognosis, and preferences of the individual patient. Although the safety and efficacy of polypharmacy stewardship need to be tested with well designed clinical trials, we propose that this approach could minimise medication-related harm in older people with multimorbidities exposed to polypharmacy.

The association of potentially inappropriate medications, polypharmacy and anticholinergic burden with readmission and emergency room revisit after discharge: A hospital-based retrospective cohort study

AIMS

While certain drug-use indicators are known to be associated with clinical outcomes, the relationship is unclear for some highly prevalent conditions in in patients aged ≥65 years. We examine correlations between 3 drug-use indicators and postdischarge healthcare services use by older patients according to the presence of dementia, advanced age and frailty.

METHODS

This retrospective cohort study analysed data collected from hospital electronic health records between April and December 2017. Potentially inappropriate medications (PIMs) and anticholinergic burden were assessed using the 2015 Beers Criteria and anticholinergic cognitive burden scale (ACBS) score. Minor and major polypharmacy were defined as the use of 5-9 and ≥10 drugs, respectively. Outcomes were set as emergency room revisits and readmissions at 1, 3 and 6 months postdischarge. The correlation between drug-use indicators and outcomes was analysed by multivariable logistic regression.

RESULTS

The final cohort included 3061 patients for the analysis, and 2930, 2671 and 2560 patients were followed up to 1, 3 and 6 months after discharge. After controlling for confounders, all 3 drug-use indicators were significantly associated with readmission and emergency room revisits except for the relationship between PIMs and readmission within 6 months. These associations were significantly observed among patients without dementia, aged >80 years and with frailty.

CONCLUSION

PIMs, polypharmacy and anticholinergic burden are common at discharge and correlate with future use of healthcare services. In older patients, the absence of dementia, advanced age and frailty should be given extra consideration with regard to medication safety.

Evaluation of potentially inappropriate medications in older patients admitted to the cardiac intensive care unit according to the 2019 Beers criteria, STOPP criteria version 2 and Chinese criteria

WHAT IS KNOWN AND OBJECTIVES

Potential inappropriate medications (PIMs) can increase the risk of medication-induced harm. However, there are no studies regarding PIMs in older and critically ill patients with cardiovascular diseases in China. Therefore, studies evaluating PIMs in these patients can help in the implementation of more effective interventions to reduce the risk of drug use. Our objective was to analyse the prevalence of PIMs in elderly patients admitted to the cardiac intensive care unit (CICU) comparing the 2019 Beers criteria (Beers criteria), Screening Tool of Older People's Potentially Inappropriate Prescriptions (STOPP) criteria version 2 (STOPP criteria) and criteria of potentially inappropriate medications for older adults in China (Chinese criteria); and analyse the factors influencing the PIMs.

METHODS

This cross-sectional and retrospective study was performed with elderly patients (≥65 years) admitted to the CICU of the Beijing Tongren Hospital in China from January 2019 to June 2020. The PIMs were identified based on the Chinese, STOPP and Beers criteria at admission and discharge. The three criteria were compared using the Kappa statistic. Multiple regression analysis was used to investigate the influencing factors associated with PIMs.

RESULTS AND DISCUSSION

A total of 369 patients who met the inclusion/exclusion criteria were included in this study. According to the three criteria used to evaluate the PIMs, the prevalence was 78.3% and 72.6% at admission and discharge, respectively. The prevalence rate of PIMs determined by the Chinese criteria was 62.1% at admission versus 56.6% at discharge (p = 0.134); the Beers criteria was 53.9% at admission versus 46.9% at discharge (p = 0.056); by the STOPP criteria was 20.6% at admission versus 13.8% at discharge (p = 0.015). Moreover, 28.9% (STOPP criteria), 56.8% (Beers criteria) and 73.4% (Chinese criteria) of patients taking PIMs on admission still had the same problem at discharge. The most common PIMs screened by the Beers, STOPP and Chinese criteria were diuretics, benzodiazepines and clopidogrel, respectively. Besides, the three criteria showed poor agreement. Finally, the stronger predictor of PIMs was the increased number of medications (p < 0.05).

WHAT IS NEW AND CONCLUSION

The prevalence of PIMs in elderly patients admitted to the CICU was high. The Chinese, STOPP and Beers criteria are effective screening tools to detect PIMs, but the consistency between them was poor. The increased number of medications was a significant predictor of PIMs.

A machine learning-based risk warning platform for potentially inappropriate prescriptions for elderly patients with cardiovascular disease

Potentially inappropriate prescribing (PIP), including potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs), is a major risk factor for adverse drug reactions (ADRs). Establishing a risk warning model for PIP to screen high-risk patients and implementing targeted interventions would significantly reduce the occurrence of PIP and adverse drug events. Elderly patients with cardiovascular disease hospitalized at the Sichuan Provincial People’s Hospital were included in the study. Information about PIP, PIM, and PPO was obtained by reviewing patient prescriptions according to the STOPP/START criteria (2nd edition). Data were divided into a training set and test set at a ratio of 8:2. Five sampling methods, three feature screening methods, and eighteen machine learning algorithms were used to handle data and establish risk warning models. A 10-fold cross-validation method was employed for internal validation in the training set, and the bootstrap method was used for external validation in the test set. The performances were assessed by area under the receiver operating characteristic curve (AUC), and the risk warning platform was developed based on the best models. The contributions of features were interpreted using SHapley Additive ExPlanation (SHAP). A total of 404 patients were included in the study (318 [78.7%] with PIP; 112 [27.7%] with PIM; and 273 [67.6%] with PPO). After data sampling and feature selection, 15 datasets were obtained and 270 risk warning models were built based on them to predict PIP, PPO, and PIM, respectively. External validation showed that the AUCs of the best model for PIP, PPO, and PIM were 0.8341, 0.7007, and 0.7061, respectively. The results suggested that angina, number of medications, number of diseases, and age were the key factors in the PIP risk warning model. The risk warning platform was established to predict PIP, PIM, and PPO, which has acceptable accuracy, prediction performance, and potential clinical application perspective.

Association Between Potentially Inappropriate Medications and 30-Day Post-Hospital Discharge Outcomes in US Veterans

BACKGROUND

Potentially inappropriate medication (PIMs) use is common in older inpatients and it may lead to increased risk of adverse drug events.

OBJECTIVES

To examine prevalence of PIMs at hospital discharge and its contribution to health care utilization and mortality within 30-days of hospital discharge.

METHODS

This was a prospective cohort of 117 570 veterans aged ≥65 years and hospitalized in 2013. PIMs at discharge were categorized into central nervous system acting (CNS) and non-CNS. Outcomes within 30-days of hospital discharge were: (1) time to first acute care hospital readmission, and all-cause mortality, (2) an emergency room visit, and (3) ≥3 primary care clinic visits.

RESULTS

The cohort's mean age was 74.3 years (SD 8.1), with 51.3% exposed to CNS and 62.8% to non-CNS PIMs. Use of CNS and non-CNS PIMs, respectively, was associated with a reduced risk of readmission, with an adjusted hazard ratio (aHR) of 0.93 (95% CI = 0.89-0.96) for ≥2 (vs 0) CNS PIMs and an aHR of 0.85 (95% CI = 0.82-0.88) for ≥2 (vs 0) non-CNS PIMs. Use of CNS PIMs (≥2 vs 0) was associated with increased risk of mortality (aHR = 1.37 [95% CI = 1.25-1.51]), whereas non-CNS PIMs use was associated with a reduced risk of mortality (aHR = 0.75 [95% CI = 0.69-0.82]).

CONCLUSION AND RELEVANCE

PIMs were highly common in this veteran cohort, and the association with outcomes differed by PIMs. Thus, it is important to consider whether PIMs are CNS acting to optimize short-term posthospitalization outcomes.

Number-dependent association of potentially inappropriate medications with clinical outcomes and expenditures among community-dwelling older adults: a population-based cohort study

AIM

To investigate the prevalence of potentially inappropriate medication (PIM) prescribing and its number-dependent association (PIM=1, 2, ≥3) with all-cause hospitalizations, emergency department (ED) visits, and medication expenditures in Beijing, China.

METHOD

A retrospective cohort analysis was conducted to analyze PIM prescribing in community-dwelling older adults aged ≥ 65 years within the Beijing Municipal Medical Insurance Database (data from July to September 2016). The prevalence of PIMs was estimated based on the 2015 Beers Criteria. Logistic models were utilized to investigate the associations between PIM use and all-cause hospitalizations and ED visits. Generalized linear models with the logic link and gamma distribution were used to analyze associations between PIM use and medication expenditures.

RESULTS

Among the 506,214 older adults, the prevalence of PIM was 38.07%. After adjusting for covariables, prescribing 2 and ≥3 PIMs was associated with increased risks of hospitalizations (PIM=2: OR 1.34, 95%CI: 1.22-1.47; PIM≥3: OR=1.47, 95%CI: 1.32-1.63) and ED visits (PIM=2: OR = 1.29, 95%CI 1.12-1.48; PIM≥3: OR=1.23, 95%CI: 1.04-1.44). Exposures of 2 and ≥3 PIMs were associated with higher medication expenditures for inpatient visits (PIM=2: incidence rate ratio IRR = 1.08, 95%CI 1.01-1.16; PIM≥3: IRR=1.18, 95%CI: 1.08-1.28). Vasodilators were the most frequent PIM prescribing group among patients who ended with hospitalizations or ED visits.

CONCLUSIONS

PIMs were prescribed at a high rate among community-dwelling older adults in Beijing. PIMs ≥2 were associated with increased risks of hospitalizations, ED visits, and increased inpatient medication expenditures. Effective interventions are needed to target unnecessary and inappropriate medications in older adults.

A machine learning-based risk warning platform for potentially inappropriate prescriptions for elderly patients with cardiovascular disease

Potentially inappropriate prescribing (PIP), including potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs), is a major risk factor for adverse drug reactions (ADRs). Establishing a risk warning model for PIP to screen high-risk patients and implementing targeted interventions would significantly reduce the occurrence of PIP and adverse drug events. Elderly patients with cardiovascular disease hospitalized at the Sichuan Provincial People's Hospital were included in the study. Information about PIP, PIM, and PPO was obtained by reviewing patient prescriptions according to the STOPP/START criteria (2nd edition). Data were divided into a training set and test set at a ratio of 8:2. Five sampling methods, three feature screening methods, and eighteen machine learning algorithms were used to handle data and establish risk warning models. A 10-fold cross-validation method was employed for internal validation in the training set, and the bootstrap method was used for external validation in the test set. The performances were assessed by area under the receiver operating characteristic curve (AUC), and the risk warning platform was developed based on the best models. The contributions of features were interpreted using SHapley Additive ExPlanation (SHAP). A total of 404 patients were included in the study (318 [78.7%] with PIP; 112 [27.7%] with PIM; and 273 [67.6%] with PPO). After data sampling and feature selection, 15 datasets were obtained and 270 risk warning models were built based on them to predict PIP, PPO, and PIM, respectively. External validation showed that the AUCs of the best model for PIP, PPO, and PIM were 0.8341, 0.7007, and 0.7061, respectively. The results suggested that angina, number of medications, number of diseases, and age were the key factors in the PIP risk warning model. The risk warning platform was established to predict PIP, PIM, and PPO, which has acceptable accuracy, prediction performance, and potential clinical application perspective.

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.

Preventing Adverse Drug Reactions After Hospital Discharge (PADR-AD): Protocol for a randomised-controlled trial in older people

BACKGROUND

Adverse drug reactions (ADRs) and adverse drug events (ADEs) in older people contribute to a significant proportion of hospital admissions and are common following discharge. Effective interventions are therefore required to combat the growing burden of preventable ADRs. The Prediction of Hospitalisation due to Adverse Drug Reactions in Elderly Community Dwelling Patients (PADR-EC) score is a validated risk score developed to assess the risk of ADRs in people aged 65 years and older and has the potential to be utilised as part of an intervention to reduce ADRs.

OBJECTIVES

This trial was designed to investigate the effectiveness of an intervention to reduce ADR incidence in older people and to obtain further information about ADRs and ADEs in the 12-24 months following hospital discharge.

METHODS

The study is an open-label randomised-controlled trial to be conducted at the Royal Hobart Hospital, a 500-bed public hospital in Tasmania, Australia. Community-dwelling patients aged 65 years and older with an unplanned overnight admission to a general medical ward will be recruited. Following admission, the PADR-EC ADR score will be calculated by a research pharmacist, with the risk communicated to clinicians and discussed with participants. Following discharge, nominated general practitioners and community pharmacists will receive the risk score and related medication management advice to guide their ongoing care of the patient. Follow-up with participants will occur at 3 and 12 and 18 and 24 months to identify ADRs and ADEs. The primary outcome is moderate-severe ADRs at 12 months post-discharge, and will be analysed using the cumulative incidence proportion, survival analysis and Poisson regression.

SUMMARY

It is hypothesised that the trial will reduce ADRs and ADEs in the intervention population. The study will also provide valuable data on post-discharge ADRs and ADEs up to 24 months post-discharge.

REview of potentially inappropriate MEDIcation pr[e]scribing in Seniors (REMEDI[e]S): French implicit and explicit criteria

PURPOSE

To establish a consensus on both explicit and implicit criteria in order to identify potentially inappropriate prescribing (PIP) in French older people aged 75 years and over or 65 years and over with multimorbidity.

METHODS

Fifteen experts in geriatrics, general practice, pharmacy, and clinical pharmacology were involved in a two-round Delphi survey to assess preliminary explicit and implicit criteria based on an extensive literature review and up-to-date evidence data. Experts were asked to rate their level of agreement using a 5-level Likert scale for inclusion of criteria and also for rationale and therapeutic alternatives. A consensus was considered as reached if at least 75% of the experts rated criteria as "strongly agreed" or "agreed."

RESULTS

The new tool included a seven-step algorithm (implicit criteria) encompassing the three main domains that define PIP (i.e. overprescribing, underprescribing, and misprescribing) and 104 explicit criteria. Explicit criteria were divided into 6 tables related to inappropriate drug duplications (n = 7 criteria), omissions of medications and/or medication associations (n = 16), medications with an unfavourable benefit/risk ratio and/or a questionable efficacy (n = 39), medications with an unsuitable dose (n = 4) or duration (n = 6), drug-disease (n = 13), and drug-drug interactions (n = 19).

CONCLUSION

The REMEDI[e]S tool (REview of potentially inappropriate MEDIcation pr[e]scribing in Seniors) is an original mixed tool, adapted to French medical practices, aimed at preventing PIP both at the individual level in clinical practice and the population level in large-scale studies. Therefore, its use could contribute to an improvement in healthcare professionals' prescribing practices and safer care in older adults.

Potentially inappropriate prescribing and its associations with health-related and system-related outcomes in hospitalised older adults: A systematic review and meta-analysis

AIMS

To synthesise associations of potentially inappropriate prescribing (PIP) with health-related and system-related outcomes in inpatient hospital settings.

METHODS

Six electronic databases were searched: Medline Complete, EMBASE, CINAHL, PyscInfo, IPA and Cochrane library. Studies published between 1 January 1991 and 31 January 2021 investigating associations between PIP and health-related and system-related outcomes of older adults in hospital settings, were included. A random effects model was employed using the generic inverse variance method to pool risk estimates.

RESULTS

Overall, 63 studies were included. Pooled risk estimates did not show a significant association with all-cause mortality (adjusted odds ratio [AOR] 1.10, 95% confidence interval [CI] 0.90-1.36; adjusted hazard ratio 1.02, 83% CI 0.90-1.16), and hospital readmission (AOR 1.11, 95% CI 0.76-1.63; adjusted hazard ratio 1.02, 95% CI 0.89-1.18). PIP was associated with 91%, 60% and 26% increased odds of adverse drug event-related hospital admissions (AOR 1.91, 95% CI 1.21-3.01), functional decline (AOR 1.60, 95% CI 1.28-2.01), and adverse drug reactions and adverse drug events (AOR 1.26, 95% CI 1.11-1.43), respectively. PIP was associated with falls (2/2 studies). The impact of PIP on emergency department visits, length of stay, and health-related quality of life was inconclusive. Economic cost of PIP reported in 3 studies, comprised various cost estimation methods.

CONCLUSIONS

PIP was significantly associated with a range of health-related and system-related outcomes. It is important to optimise older adults' prescriptions to facilitate improved outcomes of care.

Integrating the 2019 AGS Beers Criteria into NP practice: A stepwise approach

The American Geriatrics Society Beers Criteria, designed to prevent the prescription of potentially inappropriate medications to older adult patients, were updated in 2019. This article provides a stepwise protocol on how to incorporate the Beers Criteria guidelines into NP practice using a case study model.