BACKGROUND: Medication-related problem is a concerning issue in older adults with multimorbidity due to complexity of disease conditions and polypharmacy, and may lead to increase in risk for adverse health outcomes. This study aims to investigate the prevalence and associated factors of potentially inappropriate medication use among the growing population of older adults with multimorbidity in Taiwan.
METHODS: The study population was composed of patients who were aged 65 years or older with multimorbidity (two or more chronic diseases) and had at least one outpatient clinic visit with drug prescription in 2018 identified from the Taiwan National Health Insurance Research Database. Potentially inappropriate medication use was defined using the 2019 Beers criteria for drugs to be avoided for older adults. Multiple logistic regression model was conducted to examine patient-related and prescriber-related factors associated with PIM use.
RESULTS: A total of 2 432 416 patients (69.7% of the entire older adult population) had multimorbidity and received at least one drug prescription at the outpatient clinic in Taiwan in 2018. The prevalence of having at least one PIM in this population was found to be 85.6%. Patient-related factors (age, sex, specific chronic diseases, frequency of outpatient visits) and prescriber-related factors (physician characteristics, healthcare setting, total number of medications, prior PIM use) were found to be associated with use of PIM.
CONCLUSIONS: High prevalence of PIM use was found in older patients with multimorbidity in Taiwan. Both patient-related and prescriber-related factors had been found to be predictors of PIM use, and should be addressed when trying to improve the medication quality in this population.

The clinical context of drug interactions detected by automated analysis systems is particularly important in older patients with multimorbidities. We aimed to provide unique, up-to-date data on the prevalence of potentially inappropriate medications (PIMs) and drug-drug interactions (DDIs) in the Polish geriatric population over 80 years old and determine the frequency and the most common PIMs involved in DDIs. We analyzed all non-prescription and prescription drugs in a representative national group of 178 home-dwelling adults over 80 years old with excessive polypharmacy (≥10 drugs). The FORTA List was used to assess PIMs, and the Lexicomp® Drug Interactions database was used for DDIs. DDIs were detected in 66.9% of the study group, whereas PIMs were detected in 94.4%. Verification of clinical indications for the use of substances involved in DDIs resulted in a reduction in the total number of DDIs by more than 1.5 times, as well as in a nearly 3-fold decrease in the number of interactions requiring therapy modification and drug combinations that should be strictly avoided. The most common PIMs involved in DDIs were painkillers, and drugs used in psychiatry and neurology. Special attention should be paid to DDIs with PIMs since they could increase their inappropriate character. The use of automated interaction analysis systems, while maintaining appropriate clinical criticism, can increase both chances for a good therapeutic effect and the safety of the elderly during treatment processes.

BACKGROUND: Potentially inappropriate medications (PIMs) and polypharmacy constitute increasing healthcare costs and significant risk for adverse outcomes in older adults. The American Geriatrics Society Beers Criteria form a screening tool for the identification of PIMs and guidance for healthcare providers in prescribing appropriate medications. However, primary care physicians\' knowledge of screening tools, of Beers Criteria, in particular, is not known. Therefore, this study was to investigate primary care physicians in the Eastern Province of Saudi Arabia and their awareness of Beers Criteria and knowledge of PIMs.
METHODS: This cross-sectional study was conducted among primary care physicians working in the Eastern Province of Saudi Arabia. Data were collected using an online self-administered questionnaire that consisted of sections on the general characteristics of respondents and their knowledge of Beers Criteria as a screening tool. Eight clinical-based vignettes concerning different therapeutic areas of medication use in the elderly were included, with a score of 1 and 0 for correct and wrong answers, respectively. Data presented as frequency and percentage. Chi-square test was used to determine the association between duration of practice and the level of awareness about Beers criteria.
RESULTS: Of the 121 physicians who returned completed questionnaires, 41.3% of respondents knew about Beers Criteria. Most respondents (52.9%) were confident in prescribing appropriately for elderly patients. The association between the duration of practice and confidence level was statistically significant (P = 0.040). Respondents showed an above-average knowledge of the clinical vignettes with a correct answer rate >50% in all clinical scenarios. Online search (84.2%) and physician colleagues\' knowledge and experiences (39.2%) were the primary source of information reported by the respondents.
CONCLUSIONS: Awareness of Beers Criteria of primary care physicians in Saudi Arabia\'s Eastern Province is low. Therefore, our results will educate healthcare workers on the importance of Beers Criteria in Geriatric patients\' prescriptions, in order to significantly improve the well-being of the elderly.

BACKGROUND: Managing medication use in older orthopedic patients is imperative to extend their healthy life expectancy in an aging society. However, the actual situation regarding polypharmacy, the intake of potentially inappropriate medications (PIMs), and fall risk-increasing drugs (FRIDs) among older orthopedic patients is not well characterized. This study aimed to investigate the medication-based profiles of older orthopedic patients to highlight the critical points of concern.
METHODS: We retrospectively reviewed the clinical data of consecutive patients aged ≥ 65 years who underwent orthopedic surgery at two acute care hospitals between April 2020 and March 2021. The cutoff number of prescribed drugs for polypharmacy was set at 6. According to the specified guidelines, 19 categories of drugs were identified as PIMs, and 10 categories were classified as FRIDs.
RESULTS: A total of 995 older patients with orthopedic surgery were assessed, of which 57.4% were diagnosed with polypharmacy, 66.0% were receiving PIMs, and 41.7% were receiving FRIDs. The prevalence of FRID intake did not significantly differ among patients with degenerative spinal disease (n = 316), degenerative disease of extremities (n = 331), and fractures (n = 272). Compared with patients with degenerative disease of the extremities, the multivariable-adjusted prevalence ratios (PRs) of polypharmacy and PIM intake were significantly higher in patients with degenerative spinal disease (1.26 [confidence intervals (CI): 1.11-1.44] and 1.12 [CI: 1.00-1.25]), respectively. Use of antiemetic drugs (adjusted PR, 13.36; 95% CI: 3.14-56.81) and nonsteroidal anti-inflammatory drugs (adjusted PR, 1.37; 95% CI: 1.05-1.78) was significantly higher in patients with degenerative spinal disease. Among patients with degenerative spinal disease, the prevalence of antiemetic drug intake was 8.7% in lumbar spinal patients and 0% in cervical spinal patients.
CONCLUSIONS: More than half of the orthopedic patients in this study were affected by polypharmacy, and approximately two-thirds were prescribed some form of PIMs. Patients with degenerative spinal disease showed a significantly higher prevalence of polypharmacy and PIM use compared with other orthopedic diseases. Particular attention should be paid to the high frequency of antiemetic drugs and nonsteroidal anti-inflammatory drugs intake among patients with degenerative lumbar spine conditions.

Institutionalized older adults often face complex medication regimens, increasing their risk of adverse drug events due to polypharmacy, overprescribing, medication interactions, or the use of Potentially Inappropriate Medications (PIM). However, data on medication use and associated risks in this population remain scarce. This pilot study aimed to characterize the sociodemographic, clinical and pharmacotherapeutic profiles, and the use of PIM among institutionalized elders residing in Residential Structures for Elderly People (ERPI) in the Faro municipality, located in the Portuguese region of the Algarve. We conducted a cross-sectional study in a non-randomized sample of 96 participants (mean age: 86.6 ± 7.86 years) where trained researchers reviewed medication profiles and identified potentially inappropriate medications using the EU(7)-PIM list. Over 90% of participants exhibited polypharmacy (≥5 medications), with an average of 9.1 ± 4.15 medications per person. About 92% had potential drug interactions, including major and moderate interactions. More than 86% used at least one potentially inappropriate medication, most commonly central nervous system drugs. This pilot study demonstrates that institutionalized older adults may be at high risk of potential medication-related problems. Implementing comprehensive medication review programs and promoting adapted prescribing practices are crucial to optimize medication use and improve the well-being of this vulnerable population.

Annually, 172 million fall events cause temporary or permanent impairment in older adults, and this number is increasing. Contributing factors that increase the risk for falls include age, polypharmacy, and malnutrition. This study evaluated medications mainly included in the EU(7)-PIM (potentially inappropriate medication) list. From March 21, 2022, to July 6, 2022, 945 patients who experienced a fall and visited the Department of Emergency Medicine at the Albert Szent-Györgyi Health Centre of the University of Szeged in Hungary. Data from 886 patients were collected (study group). The control group included 1364 patient data collected from three general practice in Hungary. The use of ≥ 2 EU(7)-PIM drugs was found to be associated with increased risk for falls (adjusted odds ratio [AOR], 1.38; 95% confidence interval [CI] 1.01-1.88). Piracetam (AOR, 1.81; 95% CI, 1.28-2.57) and trimetazidine (AOR, 1.62; 95% CI, 1.17-2.24) were associated with increased risk for falls. Doxazosin was associated with a low risk for falls (AOR, 0.59; 95% CI, 0.41-0.86). Tiapride (AOR, 3.54; 95% CI, 1.75-7.17), gliclazide (AOR, 1.57; 95% CI, 1.02-2.43), and vinpocetine (AOR, 1.95; 95% CI, 1.29-2.95) are not included in the EU(7)-PIM list; however, they are associated with increased risk for falls. Long-acting benzodiazepines (AOR, 1.79; 95% CI, 1.20-2.68), antidepressants (AOR, 1.89; 95% 95% CI, 1.37-2.61), serotonin-norepinephrine reuptake inhibitor (AOR, 2.82; 95% CI, 1.41-5.67; p < 0.01), and selective serotonin reuptake inhibitor (AOR, 1.88; 95% CI, 1.24-2.85) were also associated with increased risk for falls. However, Z-drugs were associated with a low risk for falls (AOR, 0.57; 95% CI, 0.36-0.92). With the help of this tool, trimetazidine and piracetam are filtered as EU(7)-PIM drugs associated with increased risk for falls.

BACKGROUND: Older adults with dementia often face the risk of potentially inappropriate medication (PIM) use. The quality of PIM evaluation is hindered by researchers\' unfamiliarity with evaluation criteria for inappropriate drug use. While traditional machine learning algorithms can enhance evaluation quality, they struggle with the multilabel nature of prescription data.
OBJECTIVE: This study aimed to combine six machine learning algorithms and three multilabel classification models to identify correlations in prescription information and develop an optimal model to identify PIMs in older adults with dementia.
METHODS: This study was conducted from January 1, 2020, to December 31, 2020. We used cluster sampling to obtain prescription data from patients 65 years and older with dementia. We assessed PIMs using the 2019 Beers criteria, the most authoritative and widely recognized standard for PIM detection. Our modeling process used three problem transformation methods (binary relevance, label powerset, and classifier chain) and six classification algorithms.
RESULTS: We identified 18,338 older dementia patients and 36 PIMs types. The classifier chain + categorical boosting (CatBoost) model demonstrated superior performance, with the highest accuracy (97.93%), precision (95.39%), recall (94.07%), F1 score (95.69%), and subset accuracy values (97.41%), along with the lowest Hamming loss value (0.0011) and an acceptable duration of the operation (371s).
CONCLUSIONS: This research introduces a pioneering CC + CatBoost warning model for PIMs in older dementia patients, utilizing machine-learning techniques. This model enables a quick and precise identification of PIMs, simplifying the manual evaluation process.

UNASSIGNED: Potentially inappropriate medication (PIM) use is one of the main drug-related problems encountered in older adults. It is associated with adverse drug events, morbidity, mortality, increased economic costs, and negative effects on the quality of life that requires strict monitoring of prescriptions in older adults. Thus, the study aimed to assess potentially inappropriate medication use and its determinants among older adults.
UNASSIGNED: A cross-sectional study was conducted among all outpatient prescriptions dispensed to older adults (aged 65 years and above) in six community chain pharmacies in Asmara, Eritrea. Data were collected retrospectively, between June 16 and July 16, 2023. PIMs were detected using the 2023 American Geriatric Society (AGS) Beers Criteria®. Descriptive statistics and logistic regression analysis were performed using IBM SPSS® (Version-26.0).
UNASSIGNED: A total of 2680 outpatient prescriptions dispensed to older adults were included in this study. The prevalence of PIM among prescriptions was 18.1% (95% CI: 16.7, 19.6). Moreover, a total of 470 medications were found to be avoided in older adults. The most commonly prescribed PIMs were sulfonylureas (27.2%) and substituted alkylamines (16.2%). The prevalence of prescriptions containing medications to be used with caution in older adults was 13.2% (95% CI: 12.0, 14.5). Age (Adjusted Odds Ratio (AOR))=0.98, 95% CI: 0.97, 0.99), polypharmacy (AOR=2.77, 95% CI: 1.49, 5.15), and general practitioner prescriber (AOR=1.38, 95% CI: 1.11, 1.70) were significantly associated with PIMs.
UNASSIGNED: A considerable number of ambulatory older adults were exposed to PIMs which require a close attention by policymakers, program managers, and healthcare professionals.

BACKGROUND: Potentially inappropriate medications (PIMs) are common among older adults with cancer, but their association with overall survival (OS) among non-small cell lung cancer (NSCLC) patients remains unclear. This study aimed to investigate the association between the use of PIMs and OS in patients with NSCLC.
METHODS: In this cohort study, we included patients ≥ 65 years with newly diagnosed NSCLC from January 2014 to December 2020. Potentially inappropriate medication (PIM) is defined by the Beers criteria of 2019 at baseline and within six months following the initiation of systemic therapy. Multivariable Cox regression model was built to assess the association between PIMs and overall survival (OS).
RESULTS: We finally included 338 patients with a median follow-up for OS of 1777 days. The prevalence of patients receiving at least one PIM was 39.9% (135/338) and 61.2% (71/116) at baseline and after systemic therapy, respectively. The most important factor associated with PIM use was the number of prescribed medications (P < 0.001). Baseline PIM use and PIM after systemic therapy were significantly associated with inferior OS (476 days vs. 844 days, P = 0.044; and 633 days vs. 1600 days, P = 0.007; respectively). In multivariable analysis, both baseline PIM use and PIM after systemic therapy were independent predictors of poor prognosis (adjusted HR, 1.33; 95% CI, 1.01-1.75; P = 0.041; and adjusted HR, 1.86; 95% CI, 1.11-3.14; P = 0.020; respectively).
CONCLUSIONS: PIMs are prevalent among older patients with NSCLC and are independent predictors of NSCLC prognosis. There is an urgent need for clinicians to conduct medication reconciliation and appropriate deprescribing for this population, especially for patients with multiple PIMs.

BACKGROUND: Older adults with advanced chronic diseases and palliative care needs are more exposed to polypharmacy and use of potentially inappropriate medication, which generates a high risk of adverse events and impaired quality of life. The objective of this study was to describe the frequency of potentially inappropriate medication use among older adults with palliative care needs receiving home care services after hospital discharge.
METHODS: Observational cross-sectional study of pharmacy dispensing and electronic health records, of older adults in a home care system and with palliative care needs according to the screening with the NECPAL tool or the PROFUND and/or PALIAR indexes. Dispensed medications during 180 days after admission to home care were analyzed. Medications were classified as potentially inappropriate according to the LESS-CHRON criteria.
RESULTS: We included 176 patients, mean age 87.4 years, 67% were women; 73% were pluripathologic patients and 22% had one chronic progressive disease. Mortality at 6 months was 73%. Median frequency of dispensed medications per patient was 9.1 (IQR = 4-9.7). The frequency of potentially inappropriate medication dispensation among patients was 87%, mainly antihypertensives, benzodiazepines and antipsychotics.
CONCLUSIONS: This study observed that dispensation of potentially inappropriate medication among older adults with palliative care needs and home care services is very high. This emphasizes the need for effective patient-centered interventions to prevent inadequate prescription and stimulate de-prescription.
Introducción: Los adultos mayores con enfermedades crónicas avanzadas y necesidad de cuidados paliativos están más expuestos a la polifarmacia y a consumir medicación potencialmente inapropiada, la cual genera un alto riesgo de eventos adversos y alteración de la calidad de vida. El objetivo de este estudio fue describir la frecuencia de consumo de medicación potencialmente inapropiada de adultos mayores con necesidad de cuidados paliativos que ingresaron a cuidados domiciliarios luego de una hospitalización. Métodos: Estudio de corte transversal observacional de registros de dispensación e historias clínicas electrónicas, de adultos mayores en un sistema de cuidados domiciliarios y con necesidades de cuidados paliativos según el rastreo con la herramienta NECPAL, los índices PROFUND y/o PALIAR. Se analizó el consumo de fármacos durante los 180 días posteriores al ingreso a cuidados domiciliarios. Se clasificaron los fármacos como potencialmente inapropiados según criterios de LESS-CHRON. Resultados: Se incluyeron 176 pacientes, edad promedio 87.4 años, 67% mujeres; 78% eran pluripatológicos y 22% presentaban una enfermedad única crónica progresiva. La mortalidad a los 6 meses fue 73%. La mediana de consumo de fármacos por paciente fue 9.1 (RIC = 4-9.7). El 87% consumía medicación potencialmente inapropiada, principalmente antihipertensivos, benzodiacepinas y antipsicóticos. Conclusión: Este estudio observó que los adultos mayores, con necesidad de cuidados paliativos en cuidados domiciliarios, tienen un alto consumo de medicación potencialmente inapropiada. Esto refuerza la necesidad de implementar intervenciones efectivas centradas en el paciente, para prevenir la prescripción inadecuada y estimular la de-prescripción.