Dataset Information

Polypharmacy and potentially inappropriate medications among hospitalized older adults with COVID-19 in Malaysian tertiary hospitals.

ABSTRACT:

Introduction

Older adults are among the most vulnerable groups during the COVID-19 epidemic, contributing to a large proportion of COVID-19-related death. Medication review and reconciliation by pharmacist can help reduce the number of potentially inappropriate medications but these services were halted during COVID-19.

Aim

To assess the prevalence and factors associated with inappropriate medicine use among older populations with COVID-19.

Methods

This was a cross-sectional, retrospective analysis of medications among hospitalized older adults with COVID-19. Potentially inappropriate medication use was categorized using the Beer's and STOPP criteria.

Results

Combining both criteria, 181 (32.7%) of the 553 patients were identified to have used at least one or more potentially inappropriate medication. A marginally higher number of inappropriate medications was documented using the Beers 2019 criteria (151 PIM in 124 patients) compared to STOPP criteria (133 PIMS in 104 patients). The long-term use of proton pump inhibitors (n = 68; 12.3%) and drugs which increases the risk of postural hypotension were the most commonly reported PIM (n = 41; 7.4%). Potentially inappropriate medication use was associated with previous history of hospital admission in the past 12 months (Odds ratio [OR]: 2.27; 95% CI 1.29-3.99) and higher number of discharge medications.

Conclusions

Nearly, one in three older adults with COVID-19 had been prescribed a PIM, and the proportion of older adults with polypharmacy increased after discharge. This highlights the importance of having clinical pharmacist conducting medication reviews to identify PIMs and ensure medication appropriateness.

SUBMITTER: Chang CT

PROVIDER: S-EPMC9836327 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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Publications

Polypharmacy and potentially inappropriate medications among hospitalized older adults with COVID-19 in Malaysian tertiary hospitals.

Chang Chee-Tao CT Mohd Shariff Siti Mallissa SM Abu Bakar Nur Suriana NS Ramzuzzaman Nasiha Sufina NS Lim Chun Kiat CK Lim Eddy Yew Joe EYJ Ong Peng Seng PS Lee Jie Min JM Tan Aie Yen AY Kamis Siti Fatimah SF Liew Wei Mun WM Low Yuet Man YM George Doris D Voo James Yau Hon JYH Tan Hoo Seng HS Rajan Philip P Lee Shaun Wen Huey SWH

Journal of pharmaceutical policy and practice 20230112 1

<h4>Introduction</h4>Older adults are among the most vulnerable groups during the COVID-19 epidemic, contributing to a large proportion of COVID-19-related death. Medication review and reconciliation by pharmacist can help reduce the number of potentially inappropriate medications but these services were halted during COVID-19.<h4>Aim</h4>To assess the prevalence and factors associated with inappropriate medicine use among older populations with COVID-19.<h4>Methods</h4>This was a cross-sectiona ...[more]

PMID: 36635766

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Project description:BackgroundPolypharmacy and potentially inappropriate medications (PIMs) are prevalent in older adults with cancer, but their associations with physical function are not often studied. This study examined the associations of polypharmacy and PIMs with physical function in older adults with cancer, and determined the optimal cutoff value for the number of medications most strongly associated with physical functional impairment.MethodsThis cross-sectional analysis used baseline data from a randomized study enrolling patients aged ≥70 years with advanced cancer starting a new systemic cancer treatment. We categorized PIM using 2015 American Geriatrics Society Beers Criteria. Three validated physical function measures were used to assess patient-reported impairments: activities of daily living (ADL) scale, instrumental activities of daily living (IADL) scale, and the Older Americans Resources and Services Physical Health (OARS PH) survey. Optimal cutoff value for number of medications was determined by the Youden index. Separate multivariate logistic regressions were then performed to examine associations of polypharmacy and PIMs with physical function measures.ResultsAmong 439 patients (mean age, 76.9 years), the Youden index identified ≥8 medications as the optimal cutoff value for polypharmacy; 43% were taking ≥8 medications and 62% were taking ≥1 PIMs. On multivariate analysis, taking ≥8 medications was associated with impairment in ADL (adjusted odds ratio [aOR], 1.64; 95% CI, 1.01-2.58) and OARS PH (aOR, 1.73; 95% CI, 1.01-2.98). PIMs were associated with impairments in IADL (aOR, 1.72; 95% CI, 1.09-2.73) and OARS PH (aOR, 1.97; 95% CI, 1.15-3.37). A cutoff of 5 medications was not associated with any of the physical function measures.ConclusionsPhysical function, an important component of outcomes for older adults with cancer, is cross-sectionally associated with polypharmacy (defined as ≥8 medications) and with PIMs. Future studies should evaluate the association of polypharmacy with functional outcomes in this population in a longitudinal fashion.

Project description:BackgroundWith rising worldwide population aging, the number of homebound individuals with multimorbidity is increasing. Improvement in the quality of home medical care (HMC), including medications, contributes to meeting older adults' preference for "aging in place" and securing healthcare resources.ObjectiveTo evaluate the changes in drug prescriptions, particularly potentially inappropriate medications (PIMs), among older adults receiving HMC in recent years, during which measures addressing inappropriate polypharmacy were implemented, including the introduction of clinical practice guidelines and medical fees for deprescribing.DesignA cross-sectional study.ParticipantsUsing data from the national claims database in Japan, this study included older adults aged ≥ 75 years who received HMC in October 2015 (N = 499,850) and October 2019 (N = 657,051).Main measuresNumber of drugs, prevalence of polypharmacy (≥ 5 regular drugs), major drug categories/classes, and PIMs according to Japanese guidelines were analyzed. Random effects logistic regression models were used to evaluate the differences in medications between 2015 and 2019, considering the correlation within individuals who contributed to the analysis in both years.Key resultsThe number of drugs remained unchanged from 2015 to 2019 (median: 6; interquartile range: 4, 9). The prevalence of polypharmacy also remained unchanged at 70.0% in both years (P = 0.93). However, the prescription of some drugs (e.g., direct oral anticoagulants, new types of hypnotics, acetaminophen, proton pump inhibitors, and β-blockers) increased, whereas others (e.g., warfarin, vasodilators, H2 blockers, acetylcholinesterase inhibitors, and benzodiazepines) decreased. Among the frequently prescribed PIMs, benzodiazepines/Z-drugs (25.6% in 2015 to 21.1% in 2019; adjusted odds ratio: 0.52) and H2 blockers (11.2 to 7.3%; 0.45) decreased, whereas diuretics (23.8 to 23.6%; 0.90) and antipsychotics (9.7 to 10.5%; 1.11) remained unchanged.ConclusionsWe observed some favorable changes but identified some continuous and new challenges. This study suggests that continued attention to medication optimization is required to achieve safe and effective HMC.

Project description:PurposePolypharmacy is prevalent in older adults starting cancer treatment and associated with potentially inappropriate medications (PIM), potential drug-drug interactions (DDI), and drug-cancer treatment interactions (DCI). For a large cohort of vulnerable older adults with advanced cancer starting treatment, we describe patterns of prescription and nonprescription medication usage, the prevalence of PIM, and the prevalence, severity, and type of DDI/DCI.MethodsThis secondary analysis used baseline data from a randomized study enrolling patients aged ≥70 years with advanced cancer starting a new systemic cancer treatment (University of Rochester Cancer Center [URCC] 13059; PI: Mohile). PIM were categorized using 2019 Beers criteria and Screening Tool of Older Persons' Prescriptions. Potential DDI/DCI were evaluated using Lexi-Interact Online. Medication classification followed the World Health Organization Anatomical Therapeutic Chemical system. Bivariate associations were evaluated between sociodemographic and geriatric assessment (GA) measures and medication measures. Chord diagrams and network analysis were used to understand and describe DDI/DCI.ResultsAmong 718 patients (mean age 77.6 years), polypharmacy (≥5 medications), excessive polypharmacy (≥10 medications), and ≥1 PIM were identified in 61.3%,14.5%, and 67.1%, respectively. Cardiovascular medications were the most prevalent (47%), and nonprescription medications accounted for 26% of total medications and 40% of PIM. One-quarter of patients had ≥1 potential major DDI not involving cancer treatment, and 5.4% had ≥1 potential major DCI. Each additional medication increased the odds of a potential major DDI and DCI by 39% and 12%, respectively. Polypharmacy and PIM are associated with multiple GA domains.ConclusionIn a cohort of vulnerable older adults with advanced cancer starting treatment, polypharmacy, PIM, and potential DDI/DCI are very common. Nonprescription medications are frequently PIMs and/or involved in potential DDI/DCI.

Project description:BackgroundPolypharmacy is a global public health concern. This study aimed to determine the prevalence of polypharmacy and trends in the use of commonly used and potentially inappropriate medications among older Korean patients.MethodsIndividuals aged ≥ 65 years who were prescribed any medication between 2014 and 2018 were selected from the Korean National Health Information Database. Joinpoint regression analyses were used to determine trends in the age-adjusted polypharmacy rates by age group. The prescription rates of the most commonly used medications and the most commonly used potentially inappropriate medications were analysed by year or age group for patients with polypharmacy using the chi-square and proportion difference tests.ResultsThis study included 1,849,968 patients, 661,206 (35.7%) of whom had polypharmacy. Age-adjusted polypharmacy rates increased significantly between 2014 and 2018 (P = 0.046). Among patients with polypharmacy, the most commonly prescribed medications were aspirin (100 mg), atorvastatin, metformin, glimepiride, and rosuvastatin. The most commonly prescribed and potentially inappropriate medications were alprazolam, diazepam, amitriptyline, zolpidem, and dimenhydrinate. There was a significant decrease in the prescription rates for each of these drugs in 2018 compared with 2014 among patients with polypharmacy (all P < 0.001), whereas there was a significant increase in alprazolam prescription among patients aged ≥ 85 years when analysed by age group (P < 0.001).ConclusionsThis study revealed an increasing prevalence of polypharmacy among older adults. Additionally, it highlighted that the utilisation of commonly prescribed potentially inappropriate medications, such as benzodiazepines and tricyclic antidepressants, has remained persistent, particularly among patients aged ≥ 85 years who practiced polypharmacy. These findings provide evidence-based guidance for the development of robust polypharmacy management strategies to ensure medication safety among older adults.

Project description:Due to multiple comorbid illnesses, polypharmacy, and age-related changes in pharmacokinetics and pharmacodynamics in older adults, the prevalence of potentially inappropriate medications (PIMs) is high, which affects the quality of life of older adults. Building an effective warning model is necessary for the early identification of PIMs to prevent harm caused by medication in geriatric patients. The purpose of this study was to develop a machine learning-based model for the warning of PIMs in older Chinese outpatients. This retrospective study was conducted among geriatric outpatients in nine tertiary hospitals in Chengdu from January 2018 to December 2018. The Beers criteria 2019 were used to assess PIMs in geriatric outpatients. Three problem transformation methods were used to tackle the multilabel classification problem in prescriptions. After the division of patient prescriptions into the training and test sets (8:2), we adopted six widely used classification algorithms to conduct the classification task and assessed the discriminative performance by the accuracy, precision, recall, F1 scores, subset accuracy (ss Acc), and Hamming loss (hm) of each model. The results showed that among 11,741 older patient prescriptions, 5816 PIMs were identified in 4038 (34.39%) patient prescriptions. A total of 41 types of PIMs were identified in these prescriptions. The three-problem transformation methods included label power set (LP), classifier chains (CC), and binary relevance (BR). Six classification algorithms were used to establish the warning models, including Random Forest (RF), Light Gradient Boosting Machine (LightGBM), eXtreme Gradient Boosting (XGBoost), CatBoost, Deep Forest (DF), and TabNet. The CC + CatBoost model had the highest accuracy value (97.83%), recall value (89.34%), F1 value (90.69%), and ss Acc value (97.79%) with a good precision value (92.18%) and the lowest hm value (0.0006). Therefore, the CC + CatBoost model was selected to predict the occurrence of PIM in geriatric Chinese patients. This study's novelty establishes a warning model for PIMs in geriatric patients by using machine learning. With the popularity of electronic patient record systems, sophisticated computer algorithms can be implemented at the bedside to improve medication use safety in geriatric patients in the future.

Dataset Information

Polypharmacy and potentially inappropriate medications among hospitalized older adults with COVID-19 in Malaysian tertiary hospitals.

Introduction

Aim

Methods

Results

Conclusions

Publications

Polypharmacy and potentially inappropriate medications among hospitalized older adults with COVID-19 in Malaysian tertiary hospitals.

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