Potentially inappropriate medications in Chinese older outpatients in tertiary hospitals according to Beers criteria: A cross-sectional study

Potentially inappropriate prescribing in elderly patients with epilepsy at two referral hospitals in Ethiopia

Introduction

The prevalence of drug therapy problems in patients with epilepsy has been reported to be as high as 70-90%. Moreover, elderly patients with epilepsy are highly vulnerable to inappropriate therapies. This study aimed to evaluate potentially inappropriate prescriptions (PIP) in elderly patients with epilepsy at the adult neurology clinics of two referral hospitals in Addis Ababa, Ethiopia.

Methods

A cross-sectional study was conducted on 81 patients with epilepsy and the medication appropriateness index (MAI), the Beers, and Screening Tool of Older Persons' Prescriptions and Screening Tool to Alert to the Right Treatment (STOPP/START) criteria were used to assess PIP. Data were analyzed using the Statistical Package for the Social Sciences (SPSS) version 25.

Results

Of the 81 study participants, 41(50.6%) were male, and the mean age was 67.33 ± 17.43 years. One-fourth of the study participants (25.9%) had polypharmacy and drug-drug interactions (DDIs) were documented in 64 (79%) patients. Based on the MAI, of the 263 medications that were prescribed for elderly epileptic patients, 110 (41.8%) had drug interactions, 44 (16.7%) had inappropriate indications, 31 (11.8%) were ineffective, and 12 (4.6%) were prescribed incorrect doses. Based on the STOPP and START criteria, PIP was reported in 31(38.3%) and 13(16.1%) patients, respectively.

Conclusion

Polypharmacy and DDIs are common in elderly epilepsy patients. The MAI, Beer's criteria, and STOPP/START criteria indicate a high prevalence of PIP in elderly patients with epilepsy.

Potentially inappropriate prescribing among older adults with hypertension in China: prevalence and related comorbidities across different outpatient settings

Purpose

Potentially inappropriate prescribing (PIP) is commonly encountered in older adults; yet, there is limited information on the occurrence of PIP among older adults with hypertension. This study aims to determine and compare the prevalence of PIP and its association with comorbidities in older adult outpatients with hypertension across hospitals and community health centers (CHCs).

Methods

This 3-year (2015-2017) repeated cross-sectional study used electronic medical records from Shenzhen, China, involving 62 hospitals and 678 primary medical institutions. PIP was defined using the 2019 Beers Criteria. Older adults (≥65 years) with hypertension and at least one outpatient prescription were included. Modified Poisson regression analysis was used to assess the association between chronic comorbidities, healthcare settings, and PIP.

Results

The prevalence of PIP in old adult outpatients with hypertension in 2015, 2016, and 2017 was 46.32%, 46.98%, and 46.58% in hospitals, with a sample size of 38,411, 46,235, and 50,495, respectively, and 29.14%, 26.66%, and 29.84% in CHCs, with a sample size of 26,876, 29,434, and 34,775 respectively. The top four most popular PIP in hospitals and CHCs was proton-pump inhibitors (PPIs), diuretics, benzodiazepines, and non-cyclooxygenase-selective non-steroidal anti-inflammatory drugs (NSAIDs), respectively. PIP was most associated with chronic gastrointestinal disease (adjusted prevalence ratio = 1.54, 95% confidence interval [CI] = 1.50-1.59) and mental and behavioral disorders (adjusted prevalence ratio = 1.49, 95% CI = 1.46-1.53) in hospitals and with mental and behavioral disorders (adjusted prevalence ratio = 1.99; 95% CI = 1.95-2.03) and musculoskeletal system and connective tissue disorders (adjusted prevalence ratio = 1.33; 95% CI = 1.31-1.36) in CHCs. The prevalence of PIP was significantly higher in hospital settings than in CHCs (adjusted prevalence ratio = 1.65; 95% CI = 1.63-1.66).

Conclusion

Among older adult outpatients with hypertension in Shenzhen, PIP was more prevalent in hospitals than in CHCs. The comorbidities most strongly associated with PIP were chronic gastrointestinal disease and mental and behavioral disorders in hospitals and mental and behavioral disorders in CHCs. Clinical pharmacy integration needs to be considered to reduce inappropriate prescribing in this vulnerable population.

Prevalence of multimorbidity and polypharmacy among adults and older adults: a systematic review

Multimorbidity (multiple conditions) and polypharmacy (multiple medications) are increasingly common, yet there is a need to better understand the prevalence of co-occurrence. In this systematic review, we examined the prevalence of multimorbidity and polypharmacy among adults (≥18 years) and older adults (≥65 years) in clinical and community settings. Six electronic databases were searched, and 87 studies were retained after two levels of screening. Most studies focused on adults 65 years and older and were done in population-based community settings. Although the operational definitions of multimorbidity and polypharmacy varied across studies, consistent cut-points (two or more conditions and five or more medications) were used across most studies. In older adult samples, the prevalence of multimorbidity ranged from 4·8% to 93·1%, while the prevalence of polypharmacy ranged from 2·6% to 86·6%. High heterogeneity between studies indicates the need for more consistent reporting of specific lists of conditions and medications used in operational definitions.

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.

Potentially inappropriate medicine use and predicting risk factors in hospitalized older adult patients: findings of a prospective observational study from Ethiopia

BACKGROUND

Older patients are fragile and more susceptible to medication-related problems requiring a strict assessment of their medicine list. The present study was conducted with the intention to assess the quality use of medicines in older adult patients by detecting potentially inappropriate medicine use and its predictive risk factors.

METHODS

This prospective cross-sectional study involved 162 older medical patients admitted to Jimma Medical Center. A data abstraction format is employed to capture relevant information. Each patient was assessed for the presence of potentially inappropriate medicine using the 2019 American Geriatrics Associations Beers Criteria. Descriptive statistics and logistic regression analysis were conducted using STATA 15.0. A p value < 5% was considered a cutoff point for declaring statistical significance.

RESULTS

Over the hospital stay, 103 (63.6%) participants were on polypharmacy (5-9 concurrent medicines per patient), while 16 (9.9%) were on hyper polypharmacy (≥ 10 concurrent medicines per patient). On medicine use assessment using the Beers criteria, at least one potentially inappropriate medicine was detected in 118 (73%) participants. Overall, 191 potentially inappropriate medicines (range, 0 to 4) were identified, and 27 (14.1%) of these were associated with avoiding recommendations. Furosemide [83 (43%)], tramadol [26 (14.5%)], and spironolactone [22 (11.4%)] were the top three most frequent potentially inappropriate medicines identified. In terms of mode of prescription, 187 (96.9%) potentially inappropriate medicines were prescribed on a scheduled basis. Older adult patients with thrombocytopenia had a lower probability of taking potentially inappropriate medicine, while the odds of potentially inappropriate medicine use were 7.35 times higher in patients diagnosed with heart failure.

CONCLUSIONS

Nearly three-fourths of the participants had potentially inappropriate medicine in their medicine list. Therefore, generating local evidence on the clinical, economic, and humanistic consequences may help in determining whether the Beers criteria should be taken into account when prescribing medicine to older adults. Interventions targeting older adult patients with heart failure might reduce inappropriate medicine use.

[Knowledge Graph-Based Prediction of Potentially Inappropriate Medication]

Objective

To improve the accuracy of potentially inappropriate medication (PIM) prediction, a PIM prediction model that combines knowledge graph and machine learning was proposed.

Methods

Firstly, based on Beers criteria 2019 and using the knowledge graph as the basic structure, a PIM knowledge representation framework with logical expression capabilities was constructed, and a PIM inference process was implemented from patient information nodes to PIM nodes. Secondly, a machine learning prediction model for each PIM label was established based on the classifier chain algorithm, to learn the potential feature associations from the data. Finally, based on a threshold of sample size, a portion of reasoning results from the knowledge graph was used as output labels on the classifier chain to enhance the reliability of the prediction results of low-frequency PIMs.

Results

11 741 prescriptions from 9 medical institutions in Chengdu were used to evaluate the effectiveness of the model. Experimental results show that the accuracy of the model for PIM quantity prediction is 98.10%, the F1 is 93.66%, the Hamming loss for PIM multi-label prediction is 0.06%, and the macroF1 is 66.09%, which has higher prediction accuracy than the existing models.

Conclusion

The method proposed has better prediction performance for potentially inappropriate medication and significantly improves the recognition of low-frequency PIM labels.

Global prevalence of polypharmacy and potentially inappropriate medication in older patients with dementia: a systematic review and meta-analysis

Background: Older patients with dementia always need multiple drugs due to comorbidities and cognitive impairment, further complicating drug treatment and increasing the risk of potentially inappropriate medication. The objective of our study is to estimate the global prevalence of polypharmacy and potentially inappropriate medication (PIM) and explore the factors of PIM for older patients with dementia. Methods: We searched PubMed, Embase (Ovid), and Web of Science databases to identify eligible studies from inception to 16 June 2023. We conducted a meta-analysis for observational studies reporting the prevalence of potentially inappropriate medication and polypharmacy in older patients with dementia using a random-effect model. The factors associated with PIM were meta-analyzed. Results: Overall, 62 eligible studies were included, of which 53 studies reported the prevalence of PIM and 28 studies reported the prevalence of polypharmacy. The pooled estimate of PIM and polypharmacy was 43% (95% CI 38-48) and 62% (95% CI 52-71), respectively. Sixteen studies referred to factors associated with PIM use, and 15 factors were further pooled. Polypharmacy (2.83, 95% CI 1.80-4.44), diabetes (1.31, 95% CI 1.04-1.65), heart failure (1.17, 95% CI 1.00-1.37), depression (1.45, 95% CI 1.14-1.88), history of cancer (1.20, 95% CI 1.09-1.32), hypertension (1.46, 95% CI 1.05-2.03), ischemic heart disease (1.55, 95% CI 0.77-3.12), any cardiovascular disease (1.11, 95% CI 1.06-1.17), vascular dementia (1.09, 95% CI 1.03-1.16), chronic obstructive pulmonary disease (1.39, 95% CI 1.13-1.72), and psychosis (1.91, 95% CI 1.04-3.53) are positively associated with PIM use. Conclusion: PIM and polypharmacy were highly prevalent in older patients with dementia. Among different regions, the pooled estimate of PIM use and polypharmacy varied widely. Increasing PIM in older patients with dementia was closely associated with polypharmacy. For other comorbidities such as heart failure and diabetes, prescribing should be cautioned.

Developing a Warning Model of Potentially Inappropriate Medications in Older Chinese Outpatients in Tertiary Hospitals: A Machine-Learning Study

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.

Potentially inappropriate medication in long-term care wards of a veteran hospital in Taiwan: Investigation using a spreadsheet-based rapid assessment tool

BACKGROUND

Multimorbidity and polypharmacy increase in the aging population and are accompanied by the use of potentially inappropriate medications (PIMs) and adverse drug events (ADEs). This study developed a rapid assessment tool to investigate PIM use among patients in long-term care wards.

METHODS

We retrospectively collected the data of patients in long-term care wards of a veteran hospital in Taiwan between July 2019 and June 2020. The patients with chronic diseases and medications were selected. The data, including gender, age, diagnosis, and medications, were deidentified. Nonchronic disease diagnosis and short-term and topical use medications were excluded. We used Microsoft Excel (Microsoft Corporation, Redmond, Washington, USA) and the 2019 version of the Beers Criteria to establish a rapid assessment tool. The correlations between the prevalence of PIM use and age, the number of diagnoses, and the number of medications were analyzed using SPSS version 23.

RESULTS

A total of 176 patients were included in this study, of which 76.7% (n = 135) were male and 23.3% (n = 41) were female. The average age of men was 82.1 years and that of women was 83.4 years. The average number of diagnoses for men was 5.5, and that for women was 7.3. The average number of medications for men was 5.8, and that for women was 6.5. The prevalence of PIM use was 59.1% (n = 104). Logistic regression revealed that the prevalence of PIM use may be associated with the number of medications ( p < 0.001; odds ratio = 1.378). Decision tree analysis revealed that patients who simultaneously used more than four medications exhibited a higher risk of PIM.

CONCLUSION

PIM use is a key factor causing ADEs among older adults. Therefore, comprehensive assessment of PIM use is necessary. This study designed a rapid assessment tool to simultaneously integrate and evaluate medications. Future studies may investigate the effectiveness of the proposed assessment tool.

Potentially inappropriate medication among older patients with diabetic kidney disease

Objective: Potentially inappropriate medications (PIM) contribute to poor outcomes in older patients, making it a widespread health problem. The study explored the occurrence and risk factors of PIM in older diabetic kidney disease (DKD) patients during hospitalization and investigated whether polypharmacy was associated with it. Methods: Retrospective analysis of the patients ≥ 65 years old diagnosed with DKD from July to December 2020; the PIM was evaluated according to the American Beers Criteria (2019). Factors with statistical significance in univariate analysis were included in Logistic multivariate analysis to explore the potential risk factors related to PIM. Results: Included 186 patients, 65.6% of patients had PIM, and 300 items were confirmed. The highest incidence of PIM was 41.7% for drugs that should be carefully used by the older, followed by 35.3% that should be avoided during hospitalization. The incidence of PIM related to diseases or symptoms, drug interactions to avoid, and drugs to avoid or reduce dose for renal insufficiency patients were 6.3%, 4.0% and 12.7%, respectively. The medications with a high incidence of PIM were diuretics (35.0%), benzodiazepines (10.7%) and peripheral ɑ1 blockers (8.7%). Compared with hospitalization, there were 26% of patients had increased PIM at discharge. Multivariate Logistic regression analysis showed that polypharmacy during hospitalization was an independent risk factor for PIM, OR = 4.471 (95% CI: 2.378, 8.406). Conclusion: The incidence of PIM in hospitalized older DKD patients is high; we should pay more attention to the problem of polypharmacy in these patients. Pharmacists identifying the subtypes and risk factors for PIM may facilitate risk reduction for older DKD patients.

Prescription of potentially inappropriate medicines and comparison with lists of essential medicines for treatment of chronic disorders in older patients

OBJECTIVES

To examine the current situation of potentially inappropriate medicines (PIM) for treatment of chronicity in older patients and whether the inappropriate medicines were included in the 22nd World Health Organization (WHO) Model List of Essential Medicines (EMLs), China National Model list of Essential Medicines (China EMLs), or supplementary list of essential medicines in Guizhou Province 2018 (Guizhou EMLs) through real world data, so as to promote the development of lists of essential medicines suitable for older patients and provide a reference for the revision of lists of essential medicines to reduce adverse effects, drug-induced diseases and even possible death due to use of inappropriate medicines existing in lists of essential medicines.

METHODS

A retrospectively study was conducted. Dispensing records of patients aged ≥ 65 admitted to convenience clinic of a tertiary hospital from January 1, 2021 to December 31, 2021 were extracted through electronic information system. Then, we merged dispensing records of the same patient on the same date as one record and patients with at least one chronic disease were included. The American Geriatrics Society(AGS)/Beers Criteria 2019 (Beers 2019) was used to evaluate the PIM status. Thereafter, the inappropriate medicines were compared with WHO EMLs, China EMLs, and Guizhou EMLs to find out percentages of drugs of PIMs existing in above lists of essential medicines in all drugs of PIMs. The above evaluation was conducted using Excel software (version 2019).

RESULTS

A total of 5314 dispensing reports were included in this study. 5.95% (316/5314), 7.88% (419/5314) of PIMs met Table 2 (medicines that are potentially inappropriate in most older adults), Table 4 (medicines that should be used with caution) of Beers 2019, respectively. Among PIM drugs which met Table 2 of Beers 2019, 47.37%, 78.95%, and 78.95% were respectively included in WHO EMLs, China EMLs, and Guizhou EMLs, and that was 47.06%, 76.47%, and 82.35% for Table 4 of Beers 2019.

CONCLUSIONS

PIM in older patients is common in clinical practice. Patients with diabetes, hypertension, arthritis, depression and/or anxiety and Parkinson' diseases were more frequently prescribed drugs of PIM according to Beers 2019. Take older patients into consideration and formulate List of essential medicines special for older patients may be a key way to reduce PIM.

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.

Prevalence and factors associated with potentially inappropriate medication and medication complexity for older adults in the emergency department of a secondary teaching hospital in Indonesia

Background

Older adults experience progressive decline in various organs and changes in pharmacokinetics and pharmacodynamics of the drugs in the body which lead to an increased risk of medication-related problems. Potentially inappropriate medications (PIMs) and medication complexity are key factors contributing to adverse drug events in the emergency department (ED).

Objective

To estimate the prevalence and investigate the risk factors of PIMs and medication complexity among older adults admitted to the ED.

Methods

A retrospective observational study was conducted among patients aged > 60 years admitted to the ED of Universitas Airlangga Teaching Hospital in January - June 2020. PIMs and medication complexity were measured using the 2019 American Geriatrics Society Beers Criteria® and Medication Regimen Complexity Index (MRCI), respectively.

Results

A total of 1005 patients were included and 55.0% (95% confidence interval [CI]: 52 - 58%) of them received at least one PIM. Whereas, the pharmacological therapy prescribed to older adults had a high complexity index (mean MRCI 17.23 + 11.15). Multivariate analysis showed that those with polypharmacy (OR= 6.954; 95% CI: 4.617 - 10.476), diseases of the circulatory system (OR= 2.126; 95% CI: 1.166 - 3.876), endocrine, nutritional, and metabolic diseases (OR= 1.924; 95% CI: 1.087 - 3.405), and diseases of the digestive system (OR= 1.858; 95% CI: 1.214 - 2.842) had an increased risk of receiving PIM prescriptions. Meanwhile, disease of the respiratory system (OR = 7.621; 95% CI: 2.833 - 15.150), endocrine, nutritional and metabolic diseases (OR = 6.601; 95% CI: 2.935 - 14.847), and polypharmacy (OR = 4.373; 95% CI: 3.540 - 5.401) were associated with higher medication complexity.

Conclusion

In our study, over one in every two older adults admitted to the ED had PIMs, and a high medication complexity was observed. Endocrine, nutritional and metabolic disease was the leading risk factors for receiving PIMs and high medication complexity.

Potentially inappropriate medications in older Chinese outpatients based on the Beers criteria and Chinese criteria

Objective: Polypharmacy increases the prevalence of potentially inappropriate drugs potentially inappropriate medications among older persons, lowering their quality of life. PIMs use can lead to higher mortality in older patients. This study aimed to compare the prevalence of PIMs in older Chinese outpatients according to the Beers criteria and the Chinese criteria and to analyze the risk factors. Second, we describe the differences between the two criteria, focusing on the inappropriate prescription of drugs in older outpatients.

Methods: In Chengdu, Southwest China, a cross-sectional study was undertaken using electronic medical data from 9 general hospitals s. Outpatients above the age of 60 who were treated in the Geriatrics Center of these medical institutions were included. The 2019 Beers criteria and the 2017 Chinese criteria were used to evaluate the PIM status of older outpatients, and binary logistic regression was used to identify potential risk factors for PIMs.

Results: There were 44,458 prescriptions from 2016 to 2018. The prevalence of PIMs among older outpatients was 30.05% (according to the Beers criteria) and 35.38% (according to the Chinese criteria), with statistical difference. Estazolam, hydrochlorothiazide and alprazolam were the top three PIMs in the Beers criteria, while the top three PIMs in the Chinese criteria were clopidogrel, estazolam and insulin. The prevalence of PIMs was associated with age, the number of diseases and the number of drugs. PIMs were shown to be more common in patients aged 70 and above, with more than 2 kinds of diseases and more than 4 kinds of drugs.

Conclusion: PIMs were shown to be common among older outpatients in China, according to this study. The detection rate of the Chinese criteria was higher than that of the Beers criteria.

Prevalence of Polypharmacy and Potentially Inappropriate Medications Use in Elderly Chinese Patients: A Systematic Review and Meta-Analysis

Objectives: Polypharmacy and potentially inappropriate medication (PIM) use among elderly Chinese patients have not yet been investigated by systematic review and meta-analysis. The purposes of this study were to investigate the prevalence of polypharmacy and PIM use and the risk factors associated with PIM use in elderly Chinese patients.

Methods: Databases including PubMed, EMBase, and Web of Science were searched to collect studies which used Chinese criteria, Beers criteria, or STOPP criteria to evaluate the PIM status of elderly Chinese patients from inception to August 2021 (PROSPERO Code No: CRD42021262821). Observational studies reporting the prevalence of polypharmacy and PIM use in elderly Chinese patients were meta-analyzed. The pooled prevalence and risk ratio (RR) were calculated with a 95% confidence interval (CI).

Results: A total of 8 articles involving 4,558,786 patients were included. The overall prevalence of polypharmacy (concomitant use of more than 5 medicines) and PIM use pooled by meta-analysis in Chinese older patients was 48% (95% CI: 0.17, 0.79, p = 0.003) (inpatients 73%, outpatients 23%) and 39% (95% CI: 0.25, 0.54, p < 0.001) (inpatients 50%, outpatients 29%), respectively. Polypharmacy (RR: 2.03, 95% CI: 1.13, 3.64) was significantly associated with PIM use.

Conclusion: This meta-analysis demonstrated a high prevalence of polypharmacy and PIM use among elderly patients in China. Affected by the quantity and quality of the included studies, the aforementioned conclusions need to be confirmed by large samples and high-quality studies.

Potentially Inappropriate Medication Among People With Dementia in China: A Nationwide Cross-Sectional Study

Objectives: The purpose of this study was to explore the prevalence of potentially inappropriate medication (PIM) among older outpatients (age ≥ 65 years old) with dementia in eight cities in China using the AGS Beers criteria of 2019 and to identify the potential factor increasing the number of PIMs.

Methods: A cross-sectional study about PIM in older outpatients with dementia from January 2020 to December 2020 was carried out in eight cities in China, Chengdu, Beijing, Guangzhou, Shanghai, Shenyang, Tianjin, Zhengzhou, and Hangzhou, distributing five major geographical regions in China (east, west, north, south, central). The diagnosis of dementia was based on the International Classification of Diseases (ICD-10) to identify. Based on the 2019 AGS Beers criteria, the PIM prescriptions were evaluated. The identification of potential factors was completed using a binary logistic regression model.

Results: Of 18,624 older outpatients with dementia, 3.52% were detected with 1 PIM, and 35.91% received at least two PIMs. The antipsychotic drugs quetiapine and olanzapine were most frequently prescribed in patients with PIM, accounting for 8.01 and 7.36%, respectively. Logistic regression analyses showed that female patients with dementia aged &gt;80 years who took more medications were exposed easily to PIM use.

Conclusion: PIM use among older outpatients with dementia in China is highly prevalent, and the associated risk factors were increasing age, female sex, and number of medications. The most frequently prescribed drugs by clinicians were anpsychotropic drugs, which were much more frequent than other drugs.

Prescription of Potentially Inappropriate Medication Use in Older Cancer Outpatients With Multimorbidity: Concordance Among the Chinese, AGS/Beers, and STOPP Criteria

Objectives: Age-related multimorbidity is a general problem in older patients, which increases the prevalence of potentially inappropriate medication (PIM) use. This study aimed to examine the prevalence and predictors of PIM use in older Chinese cancer outpatients with multimorbidity based on the 2017 Chinese criteria, 2019 AGS/Beers criteria, and 2014 STOPP criteria.

Methods: A cross-sectional study was conducted using electronic medical data from nine tertiary hospitals in Chengdu from January 2018 to December 2018. The 2017 Chinese criteria, 2019 AGS/Beers criteria, and 2014 STOPP criteria were used to evaluate the PIM status of older cancer outpatients (age ≥65 years), the concordance among the three PIM criteria was calculated using kappa tests, and multivariate logistic regression was used to identify the risk factors associated with PIM use.

Results: A total of 6,160 cancer outpatient prescriptions were included in the study. The prevalence of PIM use was 34.37, 32.65, and 15.96%, according to the 2017 Chinese criteria, 2019 AGS/Beers criteria, and 2014 STOPP criteria, respectively. Furthermore, 62.43% of PIMs met table 2, 0.27% of PIMs met table 3, 34.68% of PIMs met table 4, 2.62% of PIMs met table 5 of 2019 AGS/Beers criteria, respectively. According to the three criteria, 84.93%, 82.25%, and 94.61% of older cancer outpatients had one PIM. The most frequently used PIM in cancer outpatients was estazolam. The Chinese criteria and the STOPP criteria indicated poor concordance, whereas the 2019 AGS/Beers criteria showed moderate concordance with the other two criteria. Logistic regression demonstrated that age ≥ 80, more diseases, polypharmacy, irrational use of drugs, and lung cancer were positively associated with PIM use in older cancer outpatients.

Conclusion: The prevalence of PIM use in Chinese older cancer outpatients with multimorbidity is high in China, and poor-to-moderate concordance among the three criteria was observed. Research on building PIM criteria for the older cancer population is necessary in the future.

The prevalence and risk factors of potentially inappropriate medication use in older Chinese inpatients with multimorbidity and polypharmacy: a cross-sectional study

Background

Multimorbidity and polypharmacy are common problems among the older population globally. They not only reduce the quality of life of older adults but also increase the prevalence of potentially inappropriate medication (PIM) use. This study aimed to examine the prevalence and the predictors of PIMs in hospitalized geriatric patients with multimorbidity and polypharmacy in Chengdu based on the 2015 American Geriatric Society Beers Criteria (2015 AGS Beers Criteria) and 2019 American Geriatric Society Beers Criteria (2019 AGS Beers Criteria).

Methods

From 2016 to 2018, a cross-sectional study was conducted using electronic medical data from nine tertiary hospitals in Chengdu. The 2019 and 2015 AGS Beers Criteria were used to evaluate the PIM status of older inpatients (age ≥65 years), and logistic regression was used to identify the risk factors for PIM use.

Results

A total of 17,352 inpatients were included in the study between 2016 and 2018. The prevalence of PIM use based on the 2019 AGS Beers Criteria (72.54%) was slightly higher than that based on the 2015 AGS Beers Criteria (70.10%). Further, the prevalence of PIM use based on the 2019 AGS Beers Criteria showed an increasing trend, from 71.17% in 2016 to 73.39% in 2018. Logistic regression demonstrated that female, advanced age, and polypharmacy were positively associated with PIM use in older adults. The most frequently used PIMs in the inpatients were diuretics, benzodiazepines, non-steroidal anti-inflammatory drugs, antipsychotics, and selective serotonin reuptake inhibitors.

Conclusions

There is a high prevalence of PIM use in older inpatients with multimorbidity and polypharmacy in Chengdu. The 2019 AGS Beers Criteria is more sensitive for evaluating older adults in Chengdu than the 2015 AGS Beers Criteria. Further, based on the 2019 AGS Beers Criteria, the prevalence of PIM use is increasing year by year. Research on interventions rationing PIM use in the geriatric population in Chengdu are necessary in the future.

Prevalence and Determinants of Multimorbidity, Polypharmacy, and Potentially Inappropriate Medication Use in the Older Outpatients: Findings from EuroAgeism H2020 ESR7 Project in Ethiopia

Few studies have been conducted on multimorbidity (two or more chronic diseases) and rational geriatric prescribing in Africa. This study examined the prevalence and determinants of multimorbidity, polypharmacy (five or more long-term medications), and potentially inappropriate medication (PIM) use according to the 2019 Beers criteria among the older adults attending chronic care clinics from a single institution in Ethiopia. A hospital-based cross-sectional study was conducted among 320 randomly selected older adults from 12 March 2020 to 30 August 2020. A multivariable logistic regression analysis was performed to identify the predictor variables. The prevalence of multimorbidity, polypharmacy, and PIM exposure was 59.1%, 24.1%, and 47.2%, respectively. Diuretics (10%), insulin sliding scale (8.8%), amitriptyline (7.8%), and aspirin (6.9%) were among the most frequently prescribed PIMs. Older patients experiencing pain flare-ups were more likely to have multimorbidity (adjusted odds ratio (AOR): 1.64, 95% confidence intervals: 1.13-2.39). Persistent anger (AOR: 3.33; 1.71-6.47) and use of mobility aids (AOR: 2.41, 1.35-4.28) were associated with polypharmacy. Moreover, cognitive impairment (AOR: 1.65, 1.15-2.34) and health deterioration (AOR: 1.61, 1.11-2.32) increased the likelihood of PIM exposure. High prevalence of multimorbidity and PIM use was observed in Ethiopia. Several important determinants that can be modified by applying PIM criteria in routine practice were also identified.