Identification of seniors at risk (ISAR) score and potentially inappropriate prescribing: a retrospective cohort study.

BACKGROUND: Potentially inappropriate prescribing (PIP) is usually associated with a higher risk of adverse health outcomes. It is therefore important to identify PIP in older adults. However, there are no clear prioritisation strategies to select patients requiring prescription reviews. AIM: The aim of this study was to assess the association between the identification of seniors at risk (ISAR) score and the number of PIPs. METHOD: A 12-month retrospective hospital-based study was conducted. PIPs, including potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs), were detected using the STOPP/START tool. Multivariate linear regressions were conducted to identify factors associated with the number of PIPs. Sensitivity, specificity, Youden index, and ROC curve were calculated to determine the predictive power of ISAR score. RESULTS: This study included 266 records. The analysis led to the detection of 420 PIMs and 210 PPOs, with a prevalence of 80.1% and 54.9%, respectively. Multivariate linear regression revealed that the ISAR score (p = 0.041), and the number of medications (p < 0.001) were determinants of PIP. The number of medications remained the sole determinant of the number of PIMs (p < 0.001), while living in a nursing home was the only determinant of the number of PPOs (p = 0.036). CONCLUSION: The study showed that the ISAR score and the number of medications were independently associated with the number of PIPs. Considering the use of the ISAR score and the number of medications may be useful strategies to prioritise patients for whom prescribing appropriateness should be assessed using explicit criteria.

Impact of polypharmacy on 3-year mortality in patients with heart failure: a retrospective study.

BACKGROUND: Guideline-directed medical therapy (GDMT) is important in heart failure management; however, polypharmacy itself may impact heart failure. Although measures against polypharmacy are needed, current discussion on unilateral drug tapering (including the drugs that should be tapered) is insufficient. In this study, we investigated the relationship between the number of prescribed GDMT drugs and prognosis in patients with heart failure. METHODS: In this single-centre retrospective study, 3,146 eligible patients with heart failure were included and divided into four groups based on the median number of prescribed GDMT drugs and the median number of drugs not included in the GDMT (ni-GDMT) at the time of hospital discharge. The definition of GDMT was based on various Japanese guidelines. The primary outcome was all-cause mortality within 3 years of hospital discharge. RESULTS: A total of 252 deaths were observed during the 3-year follow-up period. Kaplan-Meier analysis revealed that groups with GDMT drug count ≥ 5 and ni-GDMT drug count < 4 had the lowest mortality, and those with GDMT drug count < 5 and ni-GDMT drug count ≥ 4 had the highest mortality (log-rank, P < 0.001). Cox regression analysis revealed a significant association between ni-GDMT drug count and all-cause mortality, even after adjustment for number of GDMT medications, age, male, left ventricular ejection function < 40%, hemoglobin, albumin levels, and estimated glomerular filtration rate [HR = 1.06 (95% CI: 1.01-1.11), P = 0.020]. Conversely, the GDMT drug count was not associated with increased mortality rates. CONCLUSIONS: The ni-GDMT drug count was significantly associated with 3-year mortality in patients with heart failure. Conversely, the GDMT drug count did not worsen the prognosis. Polypharmacy measures should consider ni-GDMT drug quantity to improve the prognosis and outcomes in patients with heart failure.

Deprescribing antihypertensive drugs in frail older adults.

Antihypertensive drugs are commonly used by older adults because of the high prevalence of cardiovascular disease and its risk factors, and the increased absolute benefit of blood pressure reduction with increasing age. Clinical trials of blood pressure reduction in older adults have generally excluded older adults with multimorbidity, frailty and limited life expectancy. In this population, the benefit-harm ratio of aggressive blood pressure lowering may become unfavourable; a more relaxed blood pressure target may be appropriate; and deprescribing (cessation or dose reduction) of one or more antihypertensive drugs can be considered. Before deprescribing an antihypertensive drug, it is important to consider other indications for which it may have been prescribed (e.g. heart failure with reduced ejection fraction, diabetic nephropathy, atrial fibrillation). Evidence from randomised controlled deprescribing trials indicates that it is possible to deprescribe antihypertensives in frail older people. However, some patients may experience an increase in blood pressure that warrants restarting the drug. There are limited data on long-term outcomes (follow-up in deprescribing trials ranged from 4 to 56 weeks). The risk of adverse outcomes associated with deprescribing, such as withdrawal effects, can be minimised through appropriate planning, patient engagement, dose tapering and monitoring.

Hospital-associated complications in frail older adults.

As the Japanese population continues to age steadily, the number of older adults requiring healthcare has increased. Evidence demonstrates that hospitalization for acute care has a negative impact on the health outcomes of older adults. Frail older adults tend to have multifactorial conditions collectively known as "geriatric syndromes." When those with these premorbid conditions are hospitalized for acute care, they tend to develop new problems such as delirium and new functional impairments. Adverse consequences of hospitalization include the risk of loss of functional independence and chronic disability. In 2019, the new concept of "hospital-associated complications" (HACs) was proposed to describe these new problems. HACs comprise five conditions: hospital-associated falls, delirium, functional decline, incontinence, and pressure injuries. This review discusses the important issues of HACs in relation to their classification, prevalence, risk factors, prevention, and management in older adults hospitalized for acute care. Robust prevention and management are imperative to address the serious consequences and escalating medical costs associated with HACs, and a multidimensional and multidisciplinary approach is key to achieving this goal. Comprehensive geriatric assessment (CGA) is the cornerstone of geriatric medicine and offers a holistic approach involving multidisciplinary and multidimensional assessments. Considerable evidence is accumulating regarding how CGA and coordinated care can improve the prognosis of hospitalized older adults. Further research is needed to understand the occurrence of HACs in this population and to develop effective preventive measures.

Polypharmacy among adults with asthma in the United States, 2005-2020.

BACKGROUND: Asthma is a chronic disease that often requires medication for control. Polypharmacy remains a major issue to medication adherence; however, its evidence among patients with asthma is limited. OBJECTIVES: To evaluate the prevalence and determinants of polypharmacy and its associations with asthma control among adults with asthma in the United States. METHODS: Data from the 2005-2020 National Health and Nutrition Examination Survey (NHANES) were used to estimate the weighted prevalence of polypharmacy. Selected variables, including demographics, comorbidities, prescription medications, and asthma-related adverse events, were extracted from the NHANES. Multivariable logistic regression was conducted to identify factors associated with polypharmacy. Another two sets of multivariable logistic regression models were employed to further assess the association between polypharmacy and asthma-related adverse events: one for asthma attacks and the other for asthma-related emergency room visits. RESULTS: From 2005 to 2020, polypharmacy prevalence was 34.3% and 14.1% among adults with and without asthma, respectively. Characteristics, including older age (P<0.01), non-Hispanic blacks (P<0.01), health insurance coverage (P<0.01), number of healthcare visits (P<0.01), and multiple comorbidities (P<0.01) were associated with polypharmacy. Polypharmacy was associated with increased risks of having asthma attacks (OR, 1.38; 95% CI, 1.08-1.76) and asthma-related emergency room visits (OR, 1.46; 95% CI, 1.09-1.94) among adults with asthma. Among patients taking at least one asthma medication, risks of asthma attacks and asthma-related ER visits did not differ between those with and without polypharmacy. CONCLUSION: Approximately one in three adults with asthma experienced polypharmacy in the United States. Disparities existed in several characteristics, highlighting the necessity for appropriate care and policies among vulnerable populations. Further validation on the impact of polypharmacy on asthma control is required.

Prescription Medication Use in Pregnancy in People with Disabilities: A Population-Based Cohort Study.

Background: Individuals with disabilities may require specific medications in pregnancy. The prevalence and patterns of medication use, overall and for medications with known teratogenic risks, are largely unknown. Methods: This population-based cohort study in Ontario, Canada, 2004-2021, comprised all recognized pregnancies among individuals eligible for public drug plan coverage. Included were those with a physical (n = 44,136), sensory (n = 13,633), intellectual or developmental (n = 2,446) disability, or multiple disabilities (n = 5,064), compared with those without a disability (n = 299,944). Prescription medication use in pregnancy, overall and by type, was described. Modified Poisson regression generated relative risks (aRR) for the use of medications with known teratogenic risks and use of ≥2 and ≥5 medications concurrently in pregnancy, comparing those with versus without a disability, adjusting for sociodemographic and clinical factors. Results: Medication use in pregnancy was more common in people with intellectual or developmental (82.1%), multiple (80.4%), physical (73.9%), and sensory (71.9%) disabilities, than in those with no known disability (67.4%). Compared with those without a disability (5.7%), teratogenic medication use in pregnancy was especially higher in people with multiple disabilities (14.2%; aRR 2.03, 95% confidence interval [CI]: 1.88-2.20). Furthermore, compared with people without a disability (3.2%), the use of ≥5 medications concurrently was more common in those with multiple disabilities (13.4%; aRR 2.21, 95% CI: 2.02-2.41) and an intellectual or developmental disability (9.3%; aRR 2.13, 95% CI: 1.86-2.45). Interpretation: Among people with disabilities, medication use in pregnancy is prevalent, especially for potentially teratogenic medications and polypharmacy, highlighting the need for preconception counseling/monitoring to reduce medication-related harm in pregnancy.

A characterization of patients with low soluble urokinase plasminogen activator receptor who died within 90 days of hospital discharge.

Soluble urokinase plasminogen activator receptor (suPAR) is a marker of systemic chronic inflammation. Elevated suPAR levels are associated with adverse clinical outcomes, but a small subset of patients with low suPAR also experience poor outcomes. Therefore, we aimed to characterize patients presenting to the emergency department with low suPAR (<3 ng/mL) who died within 90 days after discharge in a registry-based study. Compared to patients with low suPAR who survived (n = 15 122), those who died within 90 days (n = 87) had higher age (75.4 years), higher medication use (7.0; 71.3% with polypharmacy) and more blood tests outside reference intervals (5.0) (including C-reactive protein, neutrophils and albumin), and the most common diagnoses were chronic pulmonary disease (27.6%), cerebrovascular disease (18.4%) and dementia (11.5%). Patients with low suPAR were more morbid than what was reflected by suPAR alone. Future studies must determine which factors that contribute the most to potential algorithms when stratifying patients based on their risk of adverse clinical outcomes. These data indicate that inclusion of medication data could be relevant.

Effect of polypharmacy on the outcomes of older patients with advanced non-small-cell lung cancer treated with PD-1/PD-L1 inhibitors: A retrospective cohort study.

INTRODUCTION: The effect of polypharmacy on older patients with cancer is unclear. This study aimed to explore the effect of polypharmacy on the outcomes of treatment in older patients with advanced non-small cell lung cancer (NSCLC) treated with PD-1/PD-L1 inhibitors. MATERIALS AND METHODS: We retrospectively reviewed the records of older patients (aged ≥65 years) with advanced NSCLC who received PD-1/PD-L1 inhibitors with or without platinum-based chemotherapy as first-line treatment from March 2016 to December 2020. Patients with driver oncogenes or Eastern Cooperative Oncology Group performance status (PS) ≥2 were excluded. Polypharmacy was defined as receiving five or more oral or inhaled medications at baseline. We compared the progression-free survival (PFS), overall survival (OS), and mean cumulative length of hospital stays between the polypharmacy and non-polypharmacy groups. RESULTS: A total of 122 patients, with a median age of 72 years (range, 65-89 years), were included in the analysis. Of the patients, 34 (27.8%) had a PS of 0 and 68 (55.7%) had a PD-L1 tumor proportion score (TPS) of ≥50%. The median number of oral or inhaled medications was 4 (range, 0-12), and 60 (49.1%) patients were taking ≥5 medications (polypharmacy). Age and Charlson Comorbidity Index score were significantly higher in the polypharmacy group (P = 0.01 and P < 0.001, respectively). Compared with the non-polypharmacy group, the polypharmacy group had a similar median PFS (6.7 vs. 8.5 months, P = 0.94) and a shorter median OS (17.3 vs. 26.0 months, P = 0.04). In the polypharmacy group, the adjusted hazard ratio for OS (adjusted for age, PS, and PD-L1 TPS) was 1.65 (95% confidence interval, 1.04-2.86, P = 0.03). Patients in the polypharmacy group had longer hospital stays (46.3 ± 7.5 vs. 27.7 ± 4.1 days/person, P < 0.05) and more emergency hospitalizations (1.6 ± 0.3 vs. 0.8 ± 0.1 times/person, P < 0.05) during the first year. DISCUSSION: Polypharmacy was associated with shorter survival time and longer hospitalization in older patients with advanced NSCLC receiving first-line immunotherapy with or without chemotherapy.

Impact of hyper-polypharmacy due to non-cardiovascular medications on long-term clinical outcomes following endovascular treatment for lower limb artery disease: A sub-analysis of the I-PAD Nagano registry.

BACKGROUND: Lower limb artery disease (LEAD) is accompanied by multiple comorbidities; however, the effect of hyperpolypharmacy on patients with LEAD has not been established. This study investigated the associations between hyperpolypharmacy, medication class, and adverse clinical outcomes in patients with LEAD. METHODS: This study used data from a prospective multicenter observational Japanese registry. A total of 366 patients who underwent endovascular treatment (EVT) for LEAD were enrolled in this study. The primary endpoints were major adverse cardiac events (MACE), including myocardial infarction, stroke, and all-cause death. RESULTS: Of 366 patients with LEAD, 12 with missing medication information were excluded. Of the 354 remaining patients, 166 had hyperpolypharmacy (≥10 medications, 46.9 %), 162 had polypharmacy (5-9 medications, 45.8 %), and 26 had nonpolypharmacy (<5 medications, 7.3 %). Over a 4.7-year median follow-up period, patients in the hyperpolypharmacy group showed worse outcomes than those in the other two groups (log-rank test, p < 0.001). Multivariate analysis revealed that the total number of medications was significantly associated with an increased risk of MACE (hazard ratio per medication increase 1.07, 95 % confidence interval 1.02-1.13 p = 0.012). Although an increased number of non-cardiovascular medications was associated with an elevated risk of MACE, the increase in cardiovascular medications was not statistically significant (log-rank test, p = 0.002 and 0.35, respectively). CONCLUSIONS: Hyperpolypharmacy due to non-cardiovascular medications was significantly associated with adverse outcomes in patients with LEAD who underwent EVT, suggesting the importance of medication reviews, including non-cardiovascular medications.

Multidisciplinary medication review during older patient hospitalization according to STOPP/START criteria reduces potentially inappropriate prescriptions: MoPIM cohort study.

PURPOSE: Multimorbidity and polypharmacy in older adults converts the detection and adequacy of potentially inappropriate drug prescriptions (PIDP) in a healthcare priority. The objectives of this study are to describe the clinical decisions taken after the identification of PIDP by clinical pharmacists, using STOPP/START criteria, and to evaluate the degree of accomplishment of these decisions. METHODS: Multicenter, prospective, non-comparative cohort study in patients aged 65 and older, hospitalized because of an exacerbation of their chronic conditions. Each possible PIDP was manually identified by the clinical pharmacist at admission and an initial decision was taken by a multidisciplinary clinical committee. At discharge, criteria were re-applied and final decisions recorded. RESULTS: From all patients (n = 674), 493 (73.1%) presented at least one STOPP criteria at admission, significantly reduced up to 258 (38.3%) at discharge. A similar trend was observed for START criteria (36.7% vs. 15.7%). Regarding the top 10 most prevalent STOPP criteria, the clinical committee initially agreed to withdraw 257 (34.2%) prescriptions and to modify 93 (12.4%) prescriptions. However, the evaluation of final clinical decisions revealed that 503 (67.0%) of those STOPP criteria were ultimately amended. For the top 10 START criteria associated PIDP, the committee decided to initiate 149 (51.7%) prescriptions, while a total of 198 (68.8%) were finally introduced at discharge. CONCLUSIONS: The clinical committee, through a pharmacotherapy review, succeeded in identifying and reducing the degree of prescription inadequacy, for both STOPP and START criteria, in older patients with high degree of multimorbidity and polypharmacy. TRIAL REGISTRATION: NCT02830425.

The impact of discharge letter content on unplanned hospital readmissions within 30 and 90 days in older adults with chronic illness - a mixed methods study.

BACKGROUND: Care transitions are high-risk processes, especially for people with complex or chronic illness. Discharge letters are an opportunity to provide written information to improve patients' self-management after discharge. The aim of this study is to determine the impact of discharge letter content on unplanned hospital readmissions and self-rated quality of care transitions among patients 60 years of age or older with chronic illness. METHODS: The study had a convergent mixed methods design. Patients with chronic obstructive pulmonary disease or congestive heart failure were recruited from two hospitals in Region Stockholm if they were living at home and Swedish-speaking. Patients with dementia or cognitive impairment, or a "do not resuscitate" statement in their medical record were excluded. Discharge letters from 136 patients recruited to a randomised controlled trial were coded using an assessment matrix and deductive content analysis. The assessment matrix was based on a literature review performed to identify key elements in discharge letters that facilitate a safe care transition to home. The coded key elements were transformed into a quantitative variable of "SAFE-D score". Bivariate correlations between SAFE-D score and quality of care transition as well as unplanned readmissions within 30 and 90 days were calculated. Lastly, a multivariable Cox proportional hazards model was used to investigate associations between SAFE-D score and time to readmission. RESULTS: All discharge letters contained at least five of eleven key elements. In less than two per cent of the discharge letters, all eleven key elements were present. Neither SAFE-D score, nor single key elements correlated with 30-day or 90-day readmission rate. SAFE-D score was not associated with time to readmission when adjusted for a range of patient characteristics and self-rated quality of care transitions. CONCLUSIONS: While written summaries play a role, they may not be sufficient on their own to ensure safe care transitions and effective self-care management post-discharge. TRIAL REGISTRATION: Clinical Trials. giv, NCT02823795, 01/09/2016.

A Multimorbidity Analysis of Hospitalized Patients With COVID-19 in Northwest Italy: Longitudinal Study Using Evolutionary Machine Learning and Health Administrative Data.

BACKGROUND: Multimorbidity is a significant public health concern, characterized by the coexistence and interaction of multiple preexisting medical conditions. This complex condition has been associated with an increased risk of COVID-19. Individuals with multimorbidity who contract COVID-19 often face a significant reduction in life expectancy. The postpandemic period has also highlighted an increase in frailty, emphasizing the importance of integrating existing multimorbidity details into epidemiological risk assessments. Managing clinical data that include medical histories presents significant challenges, particularly due to the sparsity of data arising from the rarity of multimorbidity conditions. Also, the complex enumeration of combinatorial multimorbidity features introduces challenges associated with combinatorial explosions. OBJECTIVE: This study aims to assess the severity of COVID-19 in individuals with multiple medical conditions, considering their demographic characteristics such as age and sex. We propose an evolutionary machine learning model designed to handle sparsity, analyzing preexisting multimorbidity profiles of patients hospitalized with COVID-19 based on their medical history. Our objective is to identify the optimal set of multimorbidity feature combinations strongly associated with COVID-19 severity. We also apply the Apriori algorithm to these evolutionarily derived predictive feature combinations to identify those with high support. METHODS: We used data from 3 administrative sources in Piedmont, Italy, involving 12,793 individuals aged 45-74 years who tested positive for COVID-19 between February and May 2020. From their 5-year pre-COVID-19 medical histories, we extracted multimorbidity features, including drug prescriptions, disease diagnoses, sex, and age. Focusing on COVID-19 hospitalization, we segmented the data into 4 cohorts based on age and sex. Addressing data imbalance through random resampling, we compared various machine learning algorithms to identify the optimal classification model for our evolutionary approach. Using 5-fold cross-validation, we evaluated each model's performance. Our evolutionary algorithm, utilizing a deep learning classifier, generated prediction-based fitness scores to pinpoint multimorbidity combinations associated with COVID-19 hospitalization risk. Eventually, the Apriori algorithm was applied to identify frequent combinations with high support. RESULTS: We identified multimorbidity predictors associated with COVID-19 hospitalization, indicating more severe COVID-19 outcomes. Frequently occurring morbidity features in the final evolved combinations were age>53, R03BA (glucocorticoid inhalants), and N03AX (other antiepileptics) in cohort 1; A10BA (biguanide or metformin) and N02BE (anilides) in cohort 2; N02AX (other opioids) and M04AA (preparations inhibiting uric acid production) in cohort 3; and G04CA (Alpha-adrenoreceptor antagonists) in cohort 4. CONCLUSIONS: When combined with other multimorbidity features, even less prevalent medical conditions show associations with the outcome. This study provides insights beyond COVID-19, demonstrating how repurposed administrative data can be adapted and contribute to enhanced risk assessment for vulnerable populations.

Association between benzodiazepine anxiolytic polypharmacy and concomitant psychotropic medications in Japan: a retrospective cross-sectional study.

Introduction: Guidelines for various psychiatric disorders recommend short-term use of benzodiazepine anxiolytic monotherapy in few cases. Contrarily, benzodiazepine anxiolytic polypharmacy (BAP) is not recommended in any case. However, BAP is often used in real world. Therefore, this study aimed to determine the association between BAP and concomitant use of psychotropic medications. Method: This retrospective cross-sectional study used claims data from the Japan Medical Data Center. Medical information of health insurance subscribers treated with benzodiazepine anxiolytics in June 2019 was extracted. Prescription of two or more benzodiazepine anxiolytics was defined as BAP. Binary logistic regression analysis was performed to investigate the factors associated with BAP, using age group, sex, type of subscriber, and number of concomitant hypnotics, antidepressants, and antipsychotics (none, one, and two or more) as covariates. Result: The eligible participants were 104,796 adults who were prescribed benzodiazepine anxiolytics. Among them, 12.6% were prescribed two or more drugs. Logistic regression analysis revealed that BAP was significantly associated with those who received hypnotic monotherapy (adjusted odds ratio [aOR]: 1.04, 95% confidence interval [CI]: 1.001-1.09, p=0.04), antidepressant monotherapy and polypharmacy (aOR: 1.57, 95% CI: 1.51-1.63, p<0.001 and aOR: 1.98, 95% CI: 1.88-2.09, p<0.001, respectively), and antipsychotic monotherapy and polypharmacy (aOR: 1.12, 95% CI: 1.07-1.19, p<0.001 and aOR: 1.41, 95% CI: 1.30-1.54, p<0.001, respectively). Conversely, lower BAP was associated with those who received hypnotic polypharmacy (aOR: 0.86, 95% CI: 0.81-0.91, p<0.001). Discussion: This study showed that the greater the number of concomitant antidepressants and antipsychotics, the greater the association with BAP. Since combination therapy with antidepressants or antipsychotics is generally not recommended, patients receiving combination therapy with these medications may be resistant to pharmacotherapy. Therefore, implementing the recommended non-pharmacological treatments may reduce BAP.

Potentially Inappropriate Medication: A Pilot Study in Institutionalized Older Adults.

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.

Factors Associated with Hyperpolypharmacy and Complex Medication Regimens in Kidney Transplant Recipients.

Background: Kidney transplantation is considered the best modality for renal replacement therapy. The use of immunosuppressive therapy and pre-existing and newly developed comorbidities predispose these patients to the use of a large number of medications. (Hyper)polypharmacy is associated with worse adherence and negative outcomes. This study aims to explore the factors correlated with hyperpolypharmacy and complex medication regimens in kidney transplant recipients. Methods: This is a cross-sectional study of outpatient kidney transplant recipients. Collected data include demographic data, complete chronic medication lists, medical history, and graft function. Linear and logistic regression were used to identify factors associated with hyperpolypharmacy and complex medication regimens. Medication regimen complexity was quantified by the Medication Regimen Complexity Index (MRCI). Results: Overall, 224 kidney transplant recipients were included, with an average time since transplantation of 8 years. Hyperpolypharmacy was present in more than two-thirds of patients; the average number of different medications was 12; and the mean MRCI score was 21.4, ranging from 6 to 50. Hypertension was almost universally present, while other frequently prescribed medication groups were hypolipemics, medication for bone-mineral metabolism disorders, gout, and antihyperglycemics. Conclusions: Factors independently associated with hyperpolypharmacy and complex medication regimens were found to be age and graft function. Studies investigating interventions aimed at reducing medication complexity and increasing adherence should focus on older patients with worse graft function.

Advancing medical imaging: detecting polypharmacy and adverse drug effects with Graph Convolutional Networks (GCN).

Polypharmacy involves an individual using many medications at the same time and is a frequent healthcare technique used to treat complex medical disorders. Nevertheless, it also presents substantial risks of negative medication responses and interactions. Identifying and addressing adverse effects caused by polypharmacy is crucial to ensure patient safety and improve healthcare results. This paper introduces a new method using Graph Convolutional Networks (GCN) to identify polypharmacy side effects. Our strategy involves developing a medicine interaction graph in which edges signify drug-drug intuitive predicated on pharmacological properties and hubs symbolize drugs. GCN is a well-suited profound learning procedure for graph-based representations of social information. It can be used to anticipate the probability of medicate unfavorable impacts and to memorize important representations of sedate intuitive. Tests were conducted on a huge dataset of patients' pharmaceutical records commented on with watched medicate unfavorable impacts in arrange to approve our strategy. Execution of the GCN show, which was prepared on a subset of this dataset, was evaluated through a disarray framework. The perplexity network shows the precision with which the show categories occasions. Our discoveries demonstrate empowering advance within the recognizable proof of antagonistic responses related with polypharmaceuticals. For cardiovascular system target drugs, GCN technique achieved an accuracy of 94.12%, precision of 86.56%, F1-Score of 88.56%, AUC of 89.74% and recall of 87.92%. For respiratory system target drugs, GCN technique achieved an accuracy of 93.38%, precision of 85.64%, F1-Score of 89.79%, AUC of 91.85% and recall of 86.35%. And for nervous system target drugs, GCN technique achieved an accuracy of 95.27%, precision of 88.36%, F1-Score of 86.49%, AUC of 88.83% and recall of 84.73%. This research provides a significant contribution to pharmacovigilance by proposing a data-driven method to detect and reduce polypharmacy side effects, thereby increasing patient safety and healthcare decision-making.

A quantitative study on the impact of a community falls pharmacist role, on medicines optimisation in older people at risk of falls.

BACKGROUND: The World Falls guidance includes medication review as part of its recommended multifactorial risk assessment for those at high risk of falling. Use of Falls Risk Increasing Drugs (FRIDs) along with polypharmacy and anticholinergic burden (ACB) are known to increase the risk of falls in older people. METHOD: The impact of a community falls pharmacist within a hospital Trust, working as part of a multi-professional community falls prevention service, was evaluated in 92 people aged 65 years or older, by analysing data before and after pharmacist review, namely: number and type of FRIDs prescribed; anticholinergic burden score using ACBcalc®; appropriateness of medicines prescribed; bone health review using an approved too; significance of clinical intervention; cost avoidance, drug cost savings and environmental impact. RESULTS: Following pharmacist review, there was a reduction in polypharmacy (mean number of medicines prescribed per patient reduced by 8%; p < 0.05) and anticholinergic burden score (average score per patient reduced by 33%; p < 0.05). Medicines appropriateness improved (Medicines Appropriateness Index score decreased by 56%; p < 0.05). There were 317 clinically significant interventions by the community falls pharmacist. One hundred and one FRIDs were deprescribed. Annual cost avoidance and drug cost savings were £40,689-£82,642 and avoidable carbon dioxide (CO2) emissions from reducing inappropriate prescribing amounted to 941 kg CO2. CONCLUSION: The community falls pharmacist role increases prescribing appropriateness in the older population at risk of falls, and is an effective and cost-efficient means to optimise medicines in this population, as well as having a positive impact on the environment.

Cross-sectional study to evaluate patients' medication management with a new model of care: incorporating a pharmacist into a community specialist palliative care telehealth service.

BACKGROUND: Patients receiving palliative care are often on complex medication regimes to manage their symptoms and comorbidities and at high risk of medication-related problems. The aim of this cross-sectional study was to evaluate the involvement of a pharmacist to an existing community specialist palliative care telehealth service on patients' medication management. METHOD: The specialist palliative care pharmacist attended two palliative care telehealth sessions per week over a six-month period (October 2020 to March 2021). Attendance was allocated based on funding received. Data collected from the medication management reviews included prevalence of polypharmacy, number of inappropriate medication according to the Screening Tool of Older Persons Prescriptions in Frail adults with limited life expectancy criteria (STOPP/FRAIL) and recommendations on deprescribing, symptom control and medication management. RESULTS: In total 95 patients participated in the pharmaceutical telehealth service with a mean age of 75.2 years (SD 10.67). Whilst 81 (85.3%) patients had a cancer diagnosis, 14 (14.7%) had a non-cancer diagnosis. At referral, 84 (88.4%, SD 4.57) patients were taking ≥ 5 medications with 51 (53.7%, SD 5.03) taking ≥ 10 medications. According to STOPP/FRAIL criteria, 142 potentially inappropriate medications were taken by 54 (56.8%) patients, with a mean of 2.6 (SD 1.16) inappropriate medications per person. Overall, 142 recommendations were accepted from the pharmaceutical medication management review including 49 (34.5%) related to deprescribing, 20 (14.0%) to medication-related problems, 35 (24.7%) to symptom management and 38 (26.8%) to medication administration. CONCLUSION: This study provided evidence regarding the value of including a pharmacist in palliative care telehealth services. Input from the pharmacist resulted in improved symptom management of community palliative care patients and their overall medication management.

Protocol for the development and validation of a Polypharmacy Assessment Score.

BACKGROUND: An increasing number of people are using multiple medications each day, named polypharmacy. This is driven by an ageing population, increasing multimorbidity, and single disease-focussed guidelines. Medications carry obvious benefits, yet polypharmacy is also linked to adverse consequences including adverse drug events, drug-drug and drug-disease interactions, poor patient experience and wasted resources. Problematic polypharmacy is 'the prescribing of multiple medicines inappropriately, or where the intended benefits are not realised'. Identifying people with problematic polypharmacy is complex, as multiple medicines can be suitable for people with several chronic conditions requiring more treatment. Hence, polypharmacy is often potentially problematic, rather than always inappropriate, dependent on clinical context and individual benefit vs risk. There is a need to improve how we identify and evaluate these patients by extending beyond simple counts of medicines to include individual factors and long-term conditions. AIM: To produce a Polypharmacy Assessment Score to identify a population with unusual levels of prescribing who may be at risk of potentially problematic polypharmacy. METHODS: Analyses will be performed in three parts: 1. A prediction model will be constructed using observed medications count as the dependent variable, with age, gender and long-term conditions as independent variables. A 'Polypharmacy Assessment Score' will then be constructed through calculating the differences between the observed and expected count of prescribed medications, thereby highlighting people that have unexpected levels of prescribing. Parts 2 and 3 will examine different aspects of validity of the Polypharmacy Assessment Score: 2. To assess 'construct validity', cross-sectional analyses will evaluate high-risk prescribing within populations defined by a range of Polypharmacy Assessment Scores, using both explicit (STOPP/START criteria) and implicit (Medication Appropriateness Index) measures of inappropriate prescribing. 3. To assess 'predictive validity', a retrospective cohort study will explore differences in clinical outcomes (adverse drug reactions, unplanned hospitalisation and all-cause mortality) between differing scores. DISCUSSION: Developing a cross-cutting measure of polypharmacy may allow healthcare professionals to prioritise and risk stratify patients with polypharmacy using unusual levels of prescribing. This would be an improvement from current approaches of either using simple cutoffs or narrow prescribing criteria.

Treatment of bipolar depression: clinical practice vs. adherence to guidelines-data from a Bavarian drug surveillance project.

Objectives: Pharmacotherapy of bipolar depression (BPD) is confronted with major clinical challenges, like limited evidence-based treatment options, regular cases of treatment resistance, and risk of treatment-emergent affective switches. Medical guidelines can support practitioners to make decisions based on current scientific evidence. The objective of this study is to evaluate to what extent recommendations of the 2019 German S3 guidelines "Diagnosis and Treatment of Bipolar Disorders" are reflected in clinical practice in inpatient treatment. Methods: We conducted a descriptive analysis of prescription numbers in 2,627 patients with BPD in a naturalistic inpatient setting analyzing data from the ongoing Bavarian multicenter drug safety project Pharmaco-Epidemiology and Vigilance (Pharmako-EpiVig) from the years 2014-2022. Results: Of the patients, 38% were not administered any drug explicitly recommended for treatment of BPD, that is, quetiapine, lamotrigine, carbamazepine, or olanzapine. Only 6% of the patients received monotherapy with one of those drugs. Of the patients, 34% were administered ≥4 psychotropic drugs simultaneously. Patients received 912 different therapy regimens of mono or combination therapy with mood stabilizers (MS), atypical antipsychotics (AAP), and antidepressants. Of the patients, 72% received an antidepressant and 6% without concomitant prescription of an AAP or MS. Prescription rates of venlafaxine (21% to 14%) and tricyclic antidepressants (9% to 6%) decreased significantly from the first (2014-2016) to the last (2020-2022) observed time period. Of the patients, 60% received an MS. Prescription rate of valproate (22% to 14%) decreased significantly, while lithium prescription increased significantly (29% to 35%). Of the patients, 71% were administered an AAP. Quetiapine was the most prescribed drug overall (43%). Only two patients were administered a combination of olanzapine and fluoxetine. Conclusion: Our results demonstrate a substantial gap between guideline recommendations and current clinical practice. The remarkable heterogeneity in treatment regimens, with no discernible dominant treatment approach, is in part a reflection of the complexity of bipolar disorder but also substantiates the need of comprehensive recommendations regarding combination therapies. Increase in lithium prescription is an encouraging development due to its unique efficacy in maintenance treatment. To improve the quality of clinical practice guideline implementation, more randomized controlled trials should be conducted in the future to prospectively investigate different implementation strategies.