A review of real-world evidence on preemptive pharmacogenomic testing for preventing adverse drug reactions: a reality for future health care.

Adverse drug reactions (ADRs) are a significant public health concern and a leading cause of hospitalization; they are estimated to be the fourth leading cause of death and increasing healthcare costs worldwide. Carrying a genetic variant could alter the efficacy and increase the risk of ADRs associated with a drug in a target population for commonly prescribed drugs. The use of pre-emptive pharmacogenetic/omic (PGx) testing can improve drug therapeutic efficacy, safety, and compliance by guiding the selection of drugs and/or dosages. In the present narrative review, we examined the current evidence of pre-emptive PGx testing-based treatment for the prevention of ADRs incidence and hospitalization or emergency department visits due to serious ADRs, thus improving patient safety. We then shared our perspective on the importance of preemptive PGx testing in clinical practice for the safe use of medicines and decreasing healthcare costs.

A clinical-pharmaceutical medication reconciliation with patient interview for a medication review to identify drug-related problems in elective patients during hospital admission.

Background and aim: Drug-related problems (DRPs), e.g.drug-drug interactions (DDI), can lead to adversedrug reactions (ADRs) and thus complications during hospitalization. For this reason, such DRP, DDI and ADR should be identified and characterized as early as possible during hospital admission. We aimed to perform a clinical-pharmaceutical medication reconciliation in which patient-related information was collected and compared to drug-related information in a medication review. Investigations: During a 24-week-period, we consecutively invited patients electively admitted to Urology, Otolaryngology, Oral and Maxillofacial Surgery, General and Visceral Surgery, and Oncology Departments of a 300-bed hospital. A clinical pharmacist performed a patient interview asking for medication, ADR, and adherence. The medication reconciliation considered packages for a brown-bag analysis, medication lists, and data from the clinical information-system (CIS). In a medication review, we matched patient-related information to drug-related information from the drug label, guidelines, drug-databases and websites to identify DRPs. Results: In the study, 356 patients (median age: 58 years) taking 1,712 drugs participated. Of all patients, 7.3% reported ADR and 10.7% missing adherence. 5.3% brought packages that enabled a brown-bag analysis and 21.1% a medication list. In 76.7% of patients, information from CIS was incomplete or not up-to-date. Among the most frequently identified DRPs were "Medication without diagnosis" (31.2%) and "Inappropriate timing of administration" (11.5%). The proportion of patients affected by severe DDI ranged from 0.8%-16.6%, depending on the drug information source. Conclusions: Incomplete patient data, frequently identified DRPs and inconsistent drug-based information make pharmaceutical involvement in medication reconciliation on admission a necessity.

Development of a multidisciplinary medication management program in nursing homes: protocol for a randomized controlled trial : Multidisciplinary medication management in nursing homes.

BACKGROUND: Polypharmacy and the use of potentially inappropriate medications are common among nursing home residents and are associated with negative outcomes. Although deprescribing has been proposed as a way to curtail these problems, the best way to implement multidisciplinary comprehensive medication review and deprescribing and its real impact in specific high-risk populations, such as nursing home residents, is still unclear. This multicenter randomized controlled clinical trial aims to assess the effects of a multidisciplinary mediation management program on medication use and health problems. METHODS: A total of 1,672 residents aged ≥ 65 years from 22 nursing homes in South Korea who meet the targeted criteria, such as the use of ≥ 10 medications, are eligible to participate. The experimental group will receive a comprehensive medication review, deprescription, and multidisciplinary case conference with the help of platform. Outcomes will be measured at baseline, at the end of the intervention, as well as at 3, 6, 9, and 12 months after the end of the intervention. The primary endpoints will be the rate of adverse drug events, number of potentially inappropriate medications/potentially inappropriate medication users/two or more central nervous system drug/ central nervous system drug users, delirium, emergency department visits, hospitalization, and falls. The secondary endpoint will be the number of medications taken and polypharmacy users. DISCUSSION: Our trial design is unique in that it aims to introduce a structured operationalized clinical program focused on reducing polypharmacy and potentially inappropriate medications in a nursing home setting with large samples. TRIAL REGISTRATION: Ethical approval was granted by the public institutional review board of the Ministry of Health and Welfare (2022-1092-009). The study is also registered with the Clinical Research Information Service (Identifier: KCT0008157, Development and evaluation of a multidisciplinary medication management program in long-term care facility residents Status: Approved First Submitted Date: 2023/01/18 Registered Date: 2023/02/03 Last Updated Date: 2023/01/18 (nih.go.kr) https://cris.nih.go.kr/ ), which includes all items from the World Health Organization Trial Registration Dataset.

[Pharmacogenetic testing for prevention of severe cutaneous adverse drug reactions].

Pharmacogenetic testing benefits patients by predicting drug efficacy and risk of adverse drug reactions (ADRs). Pharmacogenetic biomarkers useful in clinical practice include drug-metabolizing enzyme and drug transporter genes and human leukocyte antigen (HLA) genes. HLA genes, which are important molecules involved in human immunity, have long been analyzed for associations with ADRs, such as skin rash, drug-induced liver injury, and agranulocytosis. HLA is composed of many genes, each of which has dozens of different types (alleles), and many HLA alleles associated with ADRs have been reported. The odds ratios in the association of HLA alleles range from approximately 5 to several thousand, indicating a very large impact on the risk of ADRs. Thus, HLA genetic testing prior to initiation of drug therapy is expected to make a significant contribution to avoiding ADRs, but to demonstrate the clinical utility, it is necessary to prospectively show the effects of medical interventions based on the test results. We conducted the GENCAT study, a prospective, multicenter, single-arm clinical trial to investigate the impact of a therapeutic intervention based on the HLA-A*31:01 test on the incidence of carbamazepine-induced skin rash. HLA-A*31:01-positive patients were treated with an alternative drug such as valproic acid, and the study showed an approximately 60% reduction in the incidence of carbamazepine-induced skin rash. It is expected that the genetic test, which has demonstrated clinical utility, will lead to the establishment of safer and more appropriate stratified medicine by reflecting the information in clinical practice guidelines.

Pharmacogenomics in Clinical Practice for Older People.

Older people are over-represented among individuals that experience adverse drug reactions (ADR) and adverse drug events (ADE). Furthermore, older people are over-represented among individuals that visit emergency departments and are hospitalized because of ADRs. Moreover, older people are overrepresented among those who suffer ADEs while hospitalized. Finally, older people are among those most likely to have an anaphylactic response to prescription medications. Therefore, older people are prime candidates for efforts aimed at optimizing pharmacotherapeutic outcomes. Pharmacogenomics is an approach of using genetic data to optimize pharmacotherapeutic outcomes. Over the last two decades, pharmacogenomics grew from research initiatives into the current environment of pharmacogenomics implementation. Specifically, implementing pharmacogenomics into clinical settings or within health care systems has proven beneficial in optimizing pharmacotherapeutic outcomes. Therefore, pharmacists focused on optimizing pharmacotherapeutic outcomes for older people should be aware of the approaches to and resources available for implementing pharmacogenomics. KEY WORDS: Drug labeling biomarkers, Genes, Older adults, Pharmacogenomics.

Financial impact of medication reviews by clinical pharmacists to reduce in-hospital adverse drug events: a return-on-investment analysis.

BACKGROUND: Adverse drug events contribute to rising health care costs. Clinical pharmacists can reduce their risks by identifying and solving drug-related problems (DRPs) through medication review. AIM: To develop an economic model to determine whether medication reviews performed by clinical pharmacists could lead to a reduction in health care costs associated with the prevention of potential adverse drug events. METHOD: Two pharmacists performed medication reviews during ward rounds in an internal medicine setting over one year. Avoided costs were estimated by monetizing five categories of DRPs (improper drug selection, drug interactions, untreated indications, inadequate dosages, and drug use without an indication). An expert panel assessed potential adverse drug events and their probabilities of occurrence for 20 randomly selected DRPs in each category. The costs of adverse drug events were extracted from internal hospital financial data. A partial economic study from a hospital perspective then estimated the annual costs avoided by resolving DRPs identified by 3 part-time clinical pharmacists (0.9 full-time equivalent) from 2019 to 2020. The return on investment (ROI) of medication review was calculated. RESULTS: The estimated annual avoided costs associated with the potential adverse drug events induced by 676 DRPs detected was € 304,170. The cost of a 0.9 full-time equivalent clinical pharmacist was € 112,408. Extrapolated to 1 full-time equivalent, the annual net savings was € 213,069 or an ROI of 1-1.71. Sensitivity analyses showed that the economic model was robust. CONCLUSION: This economic model revealed the positive financial impact and favorable return on investment of a medication review intervention performed by clinical pharmacists. These findings should encourage the future deployment of a pharmacist-led adverse drug events prevention program.

Cardiovascular Adverse Drug Reactions of Anti-Calcitonin Gene-Related Peptide Monoclonal Antibodies for Migraine Prevention: An Analysis from the European Spontaneous Adverse Event Reporting System.

INTRODUCTION: Anti-calcitonin gene-related peptide monoclonal antibodies (anti-CGRP-mAbs) have recently been approved for the prevention of migraine, and their safety profile is not fully characterized. OBJECTIVE: The aim of this study was to evaluate the adverse drug reactions (ADRs) of anti-CGRP-mAbs through the analysis of individual case safety reports (ICSRs) collected in the EudraVigilance (EV) database, with a specific focus on cardiovascular (CV) ADRs. METHODS: Data on ICSRs recorded between July 2018 and December 2022 in the EV database, involving one of the anti-CGRP-mAbs for migraine prevention-erenumab (ERE), galcanezumab (GMB), fremanezumab (FMB), and eptinezumab (EPT)-were included in the analysis. All ICSRs reporting at least one CV ADR, as identified within the MedDRA® System Organ Classes (SOCs) "cardiac disorders" or "vascular disorders," were selected for the analysis. The frequency of disproportionate reporting was expressed as the reporting odds ratio (ROR) with its 95% confidence interval (CI), to evaluate the frequency of reporting of CV ADRs for each anti-CGRP-mAb compared with all other monoclonal antibodies (mAbs). A case-by-case analysis was conducted paying particular attention to serious CV ADR reports, focusing on the type of seriousness, age group, sex, and concomitant drugs. RESULTS: A total of 9441 ICSRs were recorded in the EV database from 2018 to 2022, of which more than half were related to ERE (58.9%), followed by GMB (21.4%), FMB (19.0%), and EPT (0.7%). CV ICSRs accounted for 1205 cases (12.8%), with a total of 1599 CV ADRs. The CV ICSRs were mainly related to female patients (82.6%) aged 18-64 years (73.4%). Of the reported CV ADRs, 67.5% were considered serious. Among the total number of ICSRs related to each anti-CGRP-mAb, those associated with FMB had a higher percentage of CV ADRs (n = 253; 14.1%), followed by ERE (n = 707; 12.7%), EPT (n = 8; 12.7%), and GMB (n = 237; 11.7%). A higher frequency of reporting hypertension was shown for ERE (ROR = 1.45; 95% CI = 1.14-1.85). Pallor was mainly observed with FMB (5.00; 1.68-14.89), as well as deep vein thrombosis (3.86; 1.57-9.51), hot flush (2.16; 1.43-3.25), and palpitations (1.48; 1.05-2.08). Atrial fibrillation (2.36; 1.02-5.46) and myocardial infarction (2.21; 1.37-3.58) were mostly reported for GMB. CONCLUSION: The analysis of anti-CGRP-related CV ADRs was consistent with the information reported in the literature. However, hypertension with ERE, atrial fibrillation and myocardial infarction with GMB, as well as pallor, deep vein thrombosis, hot flush, and palpitations with FMB were not reported in the Summary of Product Characteristics (SmPCs). Considering this, more post-marketing analyses are needed to improve knowledge on the CV safety profiles of anti-CGRP-mAbs, especially for the last approved medication, EPT.

Development of prescribing indicators related to opioid-related harm in patients with chronic pain in primary care-a modified e-Delphi study.

BACKGROUND: Long-term opioid use is associated with dependency, addiction, and serious adverse events. Although a framework to reduce inappropriate opioid prescribing exists, there is no consensus on prescribing indicators for preventable opioid-related problems in patients with chronic pain in primary care in the UK. This study aimed to identify opioid prescription scenarios for developing indicators for prescribing opioids to patients with chronic pain in primary care. METHODS: Scenarios of opioid prescribing indicators were identified from a literature review, guidelines, and government reports. Twenty-one indicators were identified and presented in various opioid scenarios concerning opioid-related harm and adverse effects, drug-drug interactions, and drug-disease interactions in certain disease conditions. After receiving ethics approval, two rounds of electronic Delphi panel technique surveys were conducted with 24 expert panellists from the UK (clinicians, pharmacists, and independent prescribers) from August 2020 to February 2021. Each indicator was rated on a 1-9 scale from inappropriate to appropriate. The score's median, 30th and 70th percentiles, and disagreement index were calculated. RESULTS: The panel unanimously agreed that 15 out of the 21 opioid prescribing scenarios were inappropriate, primarily due to their potential for causing harm to patients. This consensus was reflected in the low appropriateness scores (median ranging from 1 to 3). There were no scenarios with a high consensus that prescribing was appropriate. The indicators were considered inappropriate due to drug-disease interactions (n = 8), drug-drug interactions (n = 2), adverse effects (n = 3), and prescribed dose and duration (n = 2). Examples included prescribing opioids during pregnancy, concurrently with benzodiazepines, long-term without a laxative prescription and prescribing > 120-mg morphine milligram equivalent per day or long-term duration over 3 months after surgery. CONCLUSIONS: The high agreement on opioid prescribing indicators indicates that these potentially hazardous consequences are relevant and concerning to healthcare practitioners. Future research is needed to evaluate the feasibility and implementation of these indicators within primary care settings. This research will provide valuable insights and evidence to support opioid prescribing and deprescribing strategies. Moreover, the findings will be crucial in informing primary care practitioners and shaping quality outcome frameworks and other initiatives to enhance the safety and quality of care in primary care settings.

Is the Fast Track Safe? A Safety Evaluation of the COVID-19 Drugs with Real-World Data.

The US FDA has given emergency use authorization to multiple Covid-19 drugs. We conducted disproportionality analysis to detect adverse reaction rates (ADRs) in the US FDA's Adverse Event Reporting System. We discovered not only severe ADRs but also unique ADRs and effectiveness that might be explained by pharmacokinetics. This shows that real-time safety reviews could be effective methods for comparing the safety and efficacy of fast-track authorized drugs.

Development of the EldenCare application: Empowering physicians and clinical pharmacists towards enhancing elderly care.

The growing healthcare burden on the elderly population, combined with an increase in prescription drug use, necessitates the development of novel solutions for improving elderly care. EldenCare connects doctors, clinical pharmacists, and elderly patients. EldenCare was developed by a multidisciplinary team comprising geriatricians, clinical pharmacists, and software engineers. The software offers various features tailored to the needs of each user group, revolutionizing medication management and patient care. For geriatricians, EldenCare provides efficient means of recording patient information, scheduling appointments, and documenting follow-up. Clinical pharmacists can take advantage of the software's advanced features, including identifying medication risks, facilitating dose adjustments, identifying potentially inappropriate medications, and tracking adverse drug reactions. Elderly patients benefit from features such as medication alerts, appointment management, medication lists and an adverse drug reaction diary. The study is divided into five distinct phases: requirements phase, design phase, coding & unit testing phase-frontend, coding & unit testing phase-database/cloud, testing phase. The expected benefits of the EldenCare software include increased medication safety, improved communication between healthcare providers and patients, and improved healthcare outcomes for older adults. EldenCare aims to revolutionise medication management and promote a patient-centered healthcare system by empowering clinical pharmacists and engaging older adults in their care-using technology.

Evaluating Monitoring Guidelines of Clozapine-Induced Adverse Effects: a Systematic Review.

BACKGROUND AND OBJECTIVES: Despite the evidence that no other antipsychotic is effective as clozapine for the treatment of resistant schizophrenia, it is associated with various metabolic, neuroendocrine, cardiovascular, and gastrointestinal adverse effects. Guidelines aiming to address the monitoring of clozapine's (serious) adverse effects can be helpful to prevent and treat these effects. However, many of these guidelines seem to lack one or more important monitoring recommendations. We aimed to systematically review the content and quality of existing monitoring guidelines/recommendations for clozapine-induced adverse effects. METHODS: A comprehensive and systematic literature search, using the MEDLINE, Embase, Web of Science, and Cochrane databases, was conducted for guidelines/recommendations on the monitoring of clozapine-induced adverse events, published between January 2004 and April 2023 (last search 16 April 2023). Only peer-reviewed published guidelines reporting on the comprehensive monitoring of all major clozapine-induced adverse effects and including evidence-based recommendations, developed after the year 2004, were included. Studies reporting on the monitoring of adverse effects of clozapine without being a formal guideline, guidelines reporting on the monitoring of one or a limited number of adverse effects of clozapine, guidelines that were not peer reviewed or published, expert opinion papers without formal consensus guideline development, or guidelines developed before the year 2004, were excluded. The Appraisal of Guidelines for Research and Evaluation II (AGREE-II) tool was used to evaluate the guidelines/recommendations' quality. RESULTS: Only one guideline met the inclusion criteria. This consensus statement made recommendations for hematological monitoring, and the monitoring of metabolic, cardiac, and three other adverse effects. Highest scores for the qualitative assessment were found for the domains "scope and purpose" (66.7%), "clarity of presentation" (44.4%), and "editorial independence" (66.7%). Lowest scores were found for "rigor of development" (14.6%) and "applicability" (0%). CONCLUSIONS: Future guidelines should develop more comprehensive recommendations about specific clozapine-induced adverse effects, including constipation, myocarditis, tachycardia, and seizures, as well as include a rechallenge policy. There is an urgent need for well-developed, methodologically stringent, guidelines. REGISTRATION: PROSPERO registration number, CRD42023402480.

Evaluating the Safety of an Educational Deprescribing Intervention: Lessons from the Optimize Trial.

BACKGROUND: Patients, family members, and clinicians express concerns about potential adverse drug withdrawal events (ADWEs) following medication discontinuation or fears of upsetting a stable medical equilibrium as key barriers to deprescribing. Currently, there are limited methods to pragmatically assess the safety of deprescribing and ascertain ADWEs. We report the methods and results of safety monitoring for the OPTIMIZE trial of deprescribing education for patients, family members, and clinicians. METHODS: This was a pragmatic cluster randomized trial with multivariable Poisson regression comparing outcome rates between study arms. We conducted clinical record review and adjudication of sampled records to assess potential causal relationships between medication discontinuation and outcomes. This study included adults aged 65+ with dementia or mild cognitive impairment, one or more additional chronic conditions, and prescribed 5+ chronic medications. The intervention included an educational brochure on deprescribing that was mailed to patients prior to primary care visits, a clinician notification about individual brochure mailings, and an educational tip sheets was provided monthly to primary care clinicians. The outcomes of the safety monitoring were rates of hospitalizations and mortality during the 4 months following brochure mailings and results of record review and adjudication. The adjudication process was conducted throughout the trial and included classifications: likely, possibly, and unlikely. RESULTS: There was a total of 3012 (1433 intervention and 1579 control) participants. There were 420 total hospitalizations involving 269 (18.8%) people in the intervention versus 517 total hospitalizations involving 317 (20.1%) people in the control groups. Adjusted risk ratios comparing intervention to control groups were 0.92 [95% confidence interval (CI) 0.72, 1.16] for hospitalization and 1.19 (95% CI 0.67, 2.11) for mortality. Both groups had zero deaths "likely" attributed to a medication change prior to the event. A total of 3 out of 30 (10%) intervention group hospitalizations and 7 out of 35 (20%) control group hospitalizations were considered "likely" due to a medication change. CONCLUSIONS: Population-based deprescribing education is safe in the older adult population with cognitive impairment in our study. Pragmatic methods for safety monitoring are needed to further inform deprescribing interventions. TRIAL REGISTRATION: NCT03984396. Registered on 13 June 2019.

Application of an Innovative Data Mining Approach Towards Safe Polypharmacy Practice in Older Adults.

INTRODUCTION: Polypharmacy is common and is associated with higher risk of adverse drug event (ADE) among older adults. Knowledge on the ADE risk level of exposure to different drug combinations is critical for safe polypharmacy practice, while approaches for this type of knowledge discovery are limited. The objective of this study was to apply an innovative data mining approach to discover high-risk and alternative low-risk high-order drug combinations (e.g., three- and four-drug combinations). METHODS: A cohort of older adults (≥ 65 years) who visited an emergency department (ED) were identified from Medicare fee-for-service and MarketScan Medicare supplemental data. We used International Classification of Diseases (ICD) codes to identify ADE cases potentially induced by anticoagulants, antidiabetic drugs, and opioids from ED visit records. We assessed drug exposure data during a 30-day window prior to the ED visit dates. We investigated relationships between exposure of drug combinations and ADEs under the case-control setting. We applied the mixture drug-count response model to identify high-order drug combinations associated with an increased risk of ADE. We conducted therapeutic class-based mining to reveal low-risk alternative drug combinations for high-order drug combinations associated with an increased risk of ADE. RESULTS: We investigated frequent high-order drug combinations from 8.4 million ED visit records (5.1 million from Medicare data and 3.3 million from MarketScan data). We identified 5213 high-order drug combinations associated with an increased risk of ADE by controlling the false discovery rate at 0.01. We identified 1904 high-order, high-risk drug combinations had potential low-risk alternative drug combinations, where each high-order, high-risk drug combination and its corresponding low-risk alternative drug combination(s) have similar therapeutic classes. CONCLUSIONS: We demonstrated the application of a data mining technique to discover high-order drug combinations associated with an increased risk of ADE. We identified high-risk, high-order drug combinations often have low-risk alternative drug combinations in similar therapeutic classes.

Evaluating the performance of ChatGPT in clinical pharmacy: A comparative study of ChatGPT and clinical pharmacists.

AIMS: To evaluate the performance of chat generative pretrained transformer (ChatGPT) in key domains of clinical pharmacy practice, including prescription review, patient medication education, adverse drug reaction (ADR) recognition, ADR causality assessment and drug counselling. METHODS: Questions and clinical pharmacist's answers were collected from real clinical cases and clinical pharmacist competency assessment. ChatGPT's responses were generated by inputting the same question into the 'New Chat' box of ChatGPT Mar 23 Version. Five licensed clinical pharmacists independently rated these answers on a scale of 0 (Completely incorrect) to 10 (Completely correct). The mean scores of ChatGPT and clinical pharmacists were compared using a paired 2-tailed Student's t-test. The text content of the answers was also descriptively summarized together. RESULTS: The quantitative results indicated that ChatGPT was excellent in drug counselling (ChatGPT: 8.77 vs. clinical pharmacist: 9.50, P = .0791) and weak in prescription review (5.23 vs. 9.90, P = .0089), patient medication education (6.20 vs. 9.07, P = .0032), ADR recognition (5.07 vs. 9.70, P = .0483) and ADR causality assessment (4.03 vs. 9.73, P = .023). The capabilities and limitations of ChatGPT in clinical pharmacy practice were summarized based on the completeness and accuracy of the answers. ChatGPT revealed robust retrieval, information integration and dialogue capabilities. It lacked medicine-specific datasets as well as the ability for handling advanced reasoning and complex instructions. CONCLUSIONS: While ChatGPT holds promise in clinical pharmacy practice as a supplementary tool, the ability of ChatGPT to handle complex problems needs further improvement and refinement.

Look-alike medications in the perioperative setting: scoping review of medication incidents and risk reduction interventions.

BACKGROUND: Look-alike medications, where ampoules or vials of intravenous medications look similar, may increase the risk of medication errors in the perioperative setting. AIM: This scoping review aimed to identify and explore the issues related to look-alike medication incidents in the perioperative setting and the reported risk reduction interventions. METHOD: Eight databases were searched including: CINAHL Complete, Embase, OVID Emcare, Pubmed, Scopus, Informit, Cochrane and Prospero and reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews (PRISMA-ScR). Key search terms included anaesthesia, adverse drug event, drug error or medication error, look alike sound alike, operating theatres and pharmacy. Title and abstracts were screened independently and findings were extracted using validated tools in collaboration and consensus with co-authors. RESULTS: A total of 2567 records were identified to 4th July 2022; however only 18 publications met the inclusion criteria. Publication types consisted of case reports, letters to the editor, multimodal quality improvement activities or survey/audits, a controlled simulation study and one randomised clinical trial. Risk reduction intervention themes identified included regulation, procurement, standardisation of storage, labelling, environmental factors, teamwork factors and the safe administration. CONCLUSION: This review highlighted challenges with look-alike medications in the perioperative setting and identified interventions for risk reduction. Key interventions did not involve technology-based solutions and further research is required to assess their effectiveness in preventing patient harm.

Epidemiology of adverse drug reactions to antihypertensive, antithrombotic and antidiabetic medications among adult inpatients at a National Referral Hospital, Uganda.

INTRODUCTION: Treatment for hypertension, thrombosis and type 2 diabetes mellitus is long term and usually requires a combination of drugs which increases the risk of adverse drug reactions (ADRs). This study aimed to establish the prevalence at admission, incidence during hospitalization and characteristics of ADRs linked to antihypertensive, antithrombotic and antidiabetic drugs among adult inpatients in Uganda. METHODS: We conducted a secondary analysis of data from a previously assembled prospective cohort study in Uganda's Mulago National Referral Hospital. We reviewed the files of inpatients who received antihypertensive, antithrombotic and/or antidiabetic medications prior to and/or during hospitalization. The modified Schumock and Thornton Preventability Scale, the Division of AIDS Table for Grading the Severity of Adult and Paediatric Adverse Events and the World Health Organization - Uppsala Monitoring Centre seriousness criteria were used to characterize the ADRs. RESULTS: More than a quarter (27%, 42/155) of the inpatients experienced an ADR at admission or during hospitalization. The point prevalence of ADRs at admission was 8% (13/155) and the incidence of ADRs during hospitalization was 23% (36/155). Forty-one percent (35/86) of the ADRs were serious and the majority (59%, 51/86) were preventable. CONCLUSION: One in 13 inpatients experienced an ADR on admission and one in four experienced an ADR that developed during hospitalization. Clinicians ought to prescribe medicines with lower ADR risk profile for cardiovascular and/or diabetic patients whenever possible.

Detection, Monitoring, and Mitigation of Drug-Induced Nephrotoxicity: A Pragmatic Approach.

The kidneys play a pivotal role in elimination of most drugs; therefore, a comprehensive understanding of renal physiology and pathology is important for those involved in drug development. High filtration capacity and metabolic activity make the kidneys vulnerable to drug-induced nephrotoxicity (DIN). Acute DIN may manifest on a background of renal impairment that has resulted from underlying disease, previously administered nephrotoxic medications, congenital renal abnormalities, or the natural aging process. The ability of the kidneys to compensate for DIN depends on the degree of pre-insult renal function. Therefore, it can be difficult to identify. The discovery and development of novel biomarkers that can diagnose kidney damage earlier and more accurately than current clinical measures and may be effective in detecting DIN. The goal of this manuscript is to provide a pragmatic and evidence-based supportive guidance for the early identification and management of DIN during the drug development process for clinical trial participants of all ages. The overall objective is to minimize the impact of DIN on kidney function and to collect renal safety data enabling risk analysis and mitigation.

Using Protection Motivation Theory to develop a survey of over-the-counter decision-making by older adults.

BACKGROUND: Older adults (aged 65+) are responsible for 30% of the over-the-counter (OTC) medication use in the US. Each year, over 175,000 older adults are hospitalized due to OTC-related adverse drug events (ADEs). A major barrier to improving OTC use has been the dearth of actionable research on factors that affect older adult decision-making during OTC selection. Risk perception and health literacy are two such factors known to impact health behavior. However, to date no studies have characterized risk perceptions of OTCs nor how they relate to health literacy in the decision-making processes of older adults. OBJECTIVE: This paper presents the development and validation of a survey instrument to measure older adults' risk perception toward over-the-counter medications. The survey also explores the relation of risk perception to health literacy efficacy. METHODS: The Protection Motivation Theory (PMT) and the Tripartite Risk Perception Model (TRIRISK model) formed the basis for conceptualizing relationships between this study's constructs of interest. The utility of the PMT and the TRIRISK model in the context of OTC medication safety was tested in a survey of 103 older adults; exploratory factor analysis (EFA) and Spearman's correlation coefficients were used to test construct validity. RESULTS: The EFA yielded a 4-factor model of protection motivation, which included deliberative risk perception, emotional risk perception, perceived threat severity, and perceived coping efficacy. The EFA-based item reduction resulted in a final 14-item OTC Protection Motivation survey. CONCLUSION: The survey generated through this study is a tool for characterizing older adult risk perceptions of OTCs. The development of a measure of OTC risk perceptions is a promising step toward designing and evaluating patient-centered interventions to improve older adult medication safety.

The Effect of Pharmacist-Initiated Deprescribing Interventions in Older People: A Narrative Review of Randomized Controlled Trials.

Background Polypharmacy is common among older people and may be associated with adverse drug events (ADEs) and poor health outcomes. Pharmacists are well-positioned to reduce polypharmacy and potentially inappropriate medications. Objective The objective of this narrative review was to summarize the results from randomized-controlled trials that evaluated pharmacist-led interventions with the goal or effect to deprescribe medications in older individuals. Data Sources We searched Medline, Embase, CINAHL Complete, APA PsycInfo, Web of Science Core Collection, and Cochrane Central Register of Controlled Trials. Data Synthesis Of the 25 studies included, the interventions were conducted in nursing facilities (n = 8), outpatient/community dwellings (n = 8), or community pharmacies (n = 9). Interventions were categorized as comprehensive medication reviews (n = 10), comprehensive medication reviews with pharmacist follow-up (n = 11), and educational interventions provided to patients and/or providers (n = 4). Pharmacist-led interventions had a beneficial effect on 22 out of 32 total medication-related outcomes (eg, number of medications, potentially inappropriate medications, or discontinuation). Most (n = 18) studies reported no evidence of an effect for other outcomes such as health care use, mortality, patient-centered outcomes (falls, cognition, function, quality of life), and ADEs. Discussion Interventions led to improvement in 69% of the medication-related outcomes examined across study settings. Five studies measured ADEs with none accounting for adverse drug-withdrawal events. Large well-designed studies that are powered to find an effect on patient-centered outcomes are needed. Conclusion Pharmacist-led interventions had a significant beneficial effect on medication-related outcomes. There was little evidence of benefit on other outcomes.