Adverse Drug Events in Patients with Chronic Kidney Disease Associated with Multiple Drug Interactions and Polypharmacy

CYP2E1 mediated advanced oxidation protein products exacerbate acetaminophen induced drug-derived liver injury in vitro and in vivo

Drug-induced liver injury (DILI) is prevalent in the treatment of chronic kidney disease (CKD). Advanced oxidation protein products (AOPPs) are markers of CKD progression and participate in the occurrence and development of liver diseases. However, the mechanisms underlying the regulation of DILI in CKD have not been established. Herein, we demonstrate the involvement of Cytochrome p450 2E1 (CYP2E1) in DILI induced by AOPPs is exacerbated by exposure to acetaminophen (APAP). We used a adenine-induced CKD model, a model of DILI induced by APAP, and the AOPPs model was generated by intraperitoneal injection. The decline in renal function was associated with a significantly increased concentration of Scr, BUN and AOPPs, and renal tissue fibrosis. The ALT, AST, and AOPPs levels and liver tissue necrosis increased significantly in CKD model group compared with the sodium carboxymethyl cellulose (CMCNa) group. In the AOPPs model, compared to the PBS controls, ALT, AST, and AOPP levels, and liver tissue necrosis increased significantly. In HepG2 or L0-2 cell lines, cell survival was significantly reduced in the AOPP + APAP treatment and CYP2E1 protein expression was increased. FPS-ZM1 or NAC attenuated the hepatocyte toxicity induced by AOPP + APAP and suppression of CYP2E1 expression. AOPPs exacerbated APAP-induced DILI through CYP2E1 signaling pathways. Protein uremic toxins, such as AOPPs, can modify drug toxicity in patients with CKD. This study provides new a rationale to reduce the generation of DILIs in clinical treatment in patients with CKD. AOPPs targeting may present a novel approach to reduce the occurrence of DILI.

Bioinformatics analysis to disclose shared molecular mechanisms between type-2 diabetes and clear-cell renal-cell carcinoma, and therapeutic indications

Type 2 diabetes (T2D) and Clear-cell renal cell carcinoma (ccRCC) are both complicated diseases which incidence rates gradually increasing. Population based studies show that severity of ccRCC might be associated with T2D. However, so far, no researcher yet investigated about the molecular mechanisms of their association. This study explored T2D and ccRCC causing shared key genes (sKGs) from multiple transcriptomics profiles to investigate their common pathogenetic processes and associated drug molecules. We identified 259 shared differentially expressed genes (sDEGs) that can separate both T2D and ccRCC patients from control samples. Local correlation analysis based on the expressions of sDEGs indicated significant association between T2D and ccRCC. Then ten sDEGs (CDC42, SCARB1, GOT2, CXCL8, FN1, IL1B, JUN, TLR2, TLR4, and VIM) were selected as the sKGs through the protein-protein interaction (PPI) network analysis. These sKGs were found significantly associated with different CpG sites of DNA methylation that might be the cause of ccRCC. The sKGs-set enrichment analysis with Gene Ontology (GO) terms and KEGG pathways revealed some crucial shared molecular functions, biological process, cellular components and KEGG pathways that might be associated with development of both T2D and ccRCC. The regulatory network analysis of sKGs identified six post-transcriptional regulators (hsa-mir-93-5p, hsa-mir-203a-3p, hsa-mir-204-5p, hsa-mir-335-5p, hsa-mir-26b-5p, and hsa-mir-1-3p) and five transcriptional regulators (YY1, FOXL1, FOXC1, NR2F1 and GATA2) of sKGs. Finally, sKGs-guided top-ranked three repurposable drug molecules (Digoxin, Imatinib, and Dovitinib) were recommended as the common treatment for both T2D and ccRCC by molecular docking and ADME/T analysis. Therefore, the results of this study may be useful for diagnosis and therapies of ccRCC patients who are also suffering from T2D.

Clinical Pertinence and Determinants of Potential Drug-Drug Interactions in Chronic Kidney Disease Patients: A Cross-sectional Study

Background: Chronic kidney disease (CKD) is one of the major health issues effecting around 15% of world population, and its further complications has raised the need of polypharmacy for management. But this polypharmacy also upsurges the risk of potential drug-drug interactions (pDDIs) in CKD patients, which may further be responsible for increased morbidity and mortality. Objective: The main objective is therefore to evaluate the distribution, severity, causes, associated drug interactions, and clinical relevance of determination of pDDIs in CKD patients. Methods: Medical files of CKD patients examined at nephrology department, Maharishi Markandeshwar Institute of Medical Sciences and Research (MMIMSR), Mullana, between December 2022 and May 2023 were cross-sectionally assessed for this study. Medscape drug interaction checker was used to study patient profiles for pDDIs, and suggestive measures to minimize those pDDIs were studied using DDInter to ensure better clinical decision-making and patient safety. IBM SPSS (version 24) was utilized for statistical analysis. Results: The data reveal that 74.5% of the 200 medical files being evaluated had 839 pDDIs in total, out of which nearly 78.3% of patients had moderate, 15.6% had minor, and 6.07% had serious interactions. The potential adverse outcomes of pDDIs included an irregular heartbeat, hypokalemia, central nervous system (CNS) adverse effects, hypoglycemia, and a decline in therapeutic efficacy. The prevalence of pDDIs was discovered to be substantially correlated with age ≥60 years, (odds ratio [OR] = 0.65; 95% CI = 0.4-0.9; P = 0.040), length of stay ≥10 days (OR = 4.0; 95% CI = 1.29-6.1; P = 0.016), and number of prescribed drugs ≥10 (OR = 5.5; 95% CI = 2.45-10.69; P = 0.004). Conclusion: Patients with CKD have a high incidence of pDDIs (mainly mild to moderate). Older age, duration of hospital stays, and polypharmacy all raise the risk of pDDIs. Healthcare professionals (physicians and clinical pharmacist) should use drug interaction checker software programs like Medscape and DDInter to acquire knowledge about different pDDIS and their alternative measures so that the associated adverse drug reactions (ADRs) can be controlled and rational drug combination can be prescribed for management of CKD ensuring better patient care.

Medication Deprescribing in Patients Receiving Hemodialysis: A Prospective Controlled Quality Improvement Study

Rationale & Objective

Patients treated with dialysis are commonly prescribed multiple medications (polypharmacy), including some potentially inappropriate medications (PIMs). PIMs are associated with an increased risk of medication harm (eg, falls, fractures, hospitalization). Deprescribing is a solution that proposes to stop, reduce, or switch medications to a safer alternative. Although deprescribing pairs well with routine medication reviews, it can be complex and time-consuming. Whether clinical decision support improves the process and increases deprescribing for patients treated with dialysis is unknown. This study aimed to test the efficacy of the clinical decision support software MedSafer at increasing deprescribing for patients treated with dialysis.

Study Design

Prospective controlled quality improvement study with a contemporaneous control.

Setting & Participants

Patients prescribed ≥5 medications in 2 outpatient dialysis units in Montréal, Canada.

Exposures

Patient health data from the electronic medical record were input into the MedSafer web-based portal to generate reports listing candidate PIMs for deprescribing. At the time of a planned biannual medication review (usual care), treating nephrologists in the intervention unit additionally received deprescribing reports, and patients received EMPOWER brochures containing safety information on PIMs they were prescribed. In the control unit, patients received usual care alone.

Analytical Approach

The proportion of patients with ≥1 PIMs deprescribed was compared between the intervention and control units following a planned medication review to determine the effect of using MedSafer. The absolute risk difference with 95% CI and number needed to treat were calculated.

Outcomes

The primary outcome was the proportion of patients with one or more PIMs deprescribed. Secondary outcomes include the reduction in the mean number of prescribed drugs and PIMs from baseline.

Results

In total, 195 patients were included (127, control unit; 68, intervention unit); the mean age was 64.8 ± 15.9 (SD), and 36.9% were women. The proportion of patients with ≥1 PIMs deprescribed in the control unit was 3.1% (4/127) vs 39.7% (27/68) in the intervention unit (absolute risk difference, 36.6%; 95% CI, 24.5%-48.6%; P < 0.0001; number needed to treat = 3).

Limitations

This was a single-center nonrandomized study with a type 1 error risk. Deprescribing durability was not assessed, and the study was not powered to reduce adverse drug events.

Conclusions

Deprescribing clinical decision support and patient EMPOWER brochures provided during medication reviews could be an effective and scalable intervention to address PIMs in the dialysis population. A confirmatory randomized controlled trial is needed.

An Assessment of Different Decision Support Software from the Perspective of Potential Drug-Drug Interactions in Patients with Chronic Kidney Diseases

Chronic kidney disease (CKD) is a multifaceted disorder influenced by various factors. Drug-drug interactions (DDIs) present a notable risk factor for hospitalization among patients with CKD. This study aimed to assess the frequency and attributes of potential DDIs (pDDIs) in patients with CKD and to ascertain the concordance among different Clinical Decision Support Software (CDSS). A cross-sectional study was conducted in a nephrology outpatient clinic at a university hospital. The pDDIs were identified and evaluated using Lexicomp® and Medscape®. The patients' characteristics, comorbidities, and medicines used were recorded. The concordance of different CDSS were evaluated using the Kendall W coefficient. An evaluation of 1121 prescribed medications for 137 patients was carried out. The mean age of the patients was 64.80 ± 14.59 years, and 41.60% of them were male. The average year with CKD was 6.48 ± 5.66. The mean number of comorbidities was 2.28 ± 1.14. The most common comorbidities were hypertension, diabetes, and coronary artery disease. According to Medscape, 679 pDDIs were identified; 1 of them was contraindicated (0.14%), 28 (4.12%) were serious-use alternative, and 650 (9.72%) were interventions that required closely monitoring. According to Lexicomp, there were 604 drug-drug interactions. Of these interactions, 9 (1.49%) were in the X category, 60 (9.93%) were in the D category, and 535 (88.57%) were in the C category. Two different CDSS systems exhibited statistically significant concordance with poor agreement (W = 0.073, p < 0.001). Different CDSS systems are commonly used in clinical practice to detect pDDIs. However, various factors such as the operating principles of these programs and patient characteristics can lead to incorrect guidance in clinical decision making. Therefore, instead of solely relying on programs with lower reliability and consistency scores, multidisciplinary healthcare teams, including clinical pharmacists, should take an active role in identifying and preventing pDDIs.

Effect modification of polypharmacy on incident frailty by chronic kidney disease in older adults

BACKGROUND

Frailty and polypharmacy are common conditions in older adults, especially in those with chronic kidney disease (CKD). Therefore, we analyzed the association of polypharmacy and incident frailty and the effect modification by CKD in very old adults.

METHODS

In non-frail individuals within the Berlin Initiative (cohort) Study, polypharmacy (≥ 5 medications) was assessed according to multiple definitions based on the number of regular and on demand prescription and over the counter drugs, as well as vitamins and supplements. CKD was defined as an estimated glomerular filtration rate < 60 mL/min/1.73m2 and/or an albumin-creatinine ratio ≥ 30 mg/g. Incident frailty was assessed at follow-up using Fried criteria. Logistic regression was applied to assess (1) the association of different polypharmacy definitions with incident frailty and (2) effect modification by CKD.

RESULTS

In this cohort study, out of 757 non-frail participants (mean age 82.9 years, 52% female, 74% CKD), 298 (39%) participants reported polypharmacy. Over the observation period of 2.1 years, 105 became frail. Individuals with polypharmacy had 1.96 adjusted odds (95% confidence interval (CI): 1.20-3.19) of becoming frail compared to participants without polypharmacy. The effect of polypharmacy on incident frailty was modified by CKD on the additive scale (relative excess risk due to interaction: 1.56; 95% CI 0.01-3.12).

CONCLUSIONS

This study demonstrates an association of polypharmacy and incident frailty and suggests strong evidence for an effect modification of CKD on polypharmacy and incident frailty. Revision of prescriptions could be a target strategy to prevent frailty occurrence, especially in older adults with CKD.

Factors Contributing to Negative Outcomes Associated with Medications and Drug-Related Problems in Kidney Replacement Therapy-A Hospital-Based Prospective Observational Study

BACKGROUND

Negative outcomes associated with medications (NOM) and drug-related problems (DRP) significantly impact individuals with kidney replacement therapy (KRT) given the complexities of managing kidney disease and associated comorbidities. The present study aims to assess the frequency of NOMs/DRPs among KRT patients and identify contributing factors.

METHODS

A cross-sectional study was conducted at Virgen de las Nieves University Hospital (Granada, Spain), involving 117 outpatient adults with KRT. Data were collected from February 2021 to July 2023 using electronic records, semi-structured interviews (Dáder Method), and discussions with nephrology specialists. NOMs/DRPs were identified following treatment guidelines. Binary logistic regression was used to determine associated factors (p-value < 0.05).

RESULTS

Across 117 patients, 2436 NOMs and 3303 DRPs were identified, averaging 20.82 NOMs and 28.23 DRPs per patient. Prevalent NOMs included untreated conditions (58.95%), quantitative ineffectiveness (35.43%), and non-quantitative safety problems (5.13%). Dominant DRPs were undertreated conditions (37.63%), wrong dose/posology/length (33.00%), risk of adverse drug reactions (ADR) (16.14%), and non-adherence (6.87%). Patients with ADR, undertreated conditions, and anemia were associated with quantitative ineffectiveness. Risk of ADR and vitamin D deficiency/insufficiency correlated with non-quantitative safety problems.

CONCLUSIONS

KRT patients exhibited a substantial prevalence of NOMs/DRPs. Further research is needed to deepen our understanding of these complexities for improved patient care.

Risk Factors of Chronic Kidney Disease Progression: Between Old and New Concepts

Chronic kidney disease (CKD) is a condition characterized by the gradual loss of kidney function over time and it is a worldwide health issue. The estimated frequency of CKD is 10% of the world's population, but it varies greatly on a global scale. In absolute terms, the staggering number of subjects affected by various degrees of CKD is 850,000,000, and 85% of them are in low- to middle-income countries. The most important risk factors for chronic kidney disease are age, arterial hypertension, diabetes, obesity, proteinuria, dyslipidemia, and environmental risk factors such as dietary salt intake and a more recently investigated agent: pollution. In this narrative review, we will focus by choice just on some risk factors such as age, which is the most important non-modifiable risk factor, and among modifiable risk factors, we will focus on hypertension, salt intake, obesity, and sympathetic overactivity.

Optimizing Collaborative Care of Patients with Chronic Kidney Disease Associated with Type 2 Diabetes: An Example Practice Model at a Health Care Practice in Kentucky, United States

Suboptimal multidisciplinary team collaboration is a barrier to effective health care provision for patients with chronic kidney disease (CKD) associated with type 2 diabetes mellitus (T2DM). We describe an example practice model of a clinical practice called Baptist Health Deaconess, based in Madisonville, Kentucky, USA, where a small multidisciplinary team consisting of an endocrinologist, nurse practitioner, and pharmacist (authors of this article) work collaboratively in an ambulatory care setting to provide health care to the patients they serve. Many of the patients who receive care at Baptist Health Deaconess are on a low income, have poor health literacy, and do not have a primary care physician. The presence of a pharmacist in the team allows for insurance/access investigations to assess drug choice and affordability; such aspects can be performed quickly with a pharmacist in the office.

The association between polypharmacy and health-related quality of life among non-dialysis chronic kidney disease patients

BACKGROUND AND OBJECTIVE

The United States government spends over $85 billion annually on treating non-dialysis chronic kidney disease (CKD). Patients with CKD are prescribed a multitude of medications to manage numerous comorbidities associated with CKD. Thus, this study aims to investigate the association between polypharmacy and health-related quality of life (HRQoL) in non-dialysis CKD patients.

METHODS

This cross-sectional study utilized data from the Medical Expenditure Panel Survey (MEPS) from 2010 through 2019. We classified polypharmacy into three groups based on the number of medication classes: ≤ 4 (minor polypharmacy), 5 through 9 (major polypharmacy), and ≥ 10 (hyperpolypharmacy). To measure HRQoL, a Physical Component Summary (PCS) and a Mental Component Summary (MCS) were obtained from the 12-item Short-Form Health Survey version 2 and Veteran's Rand 12 item. We applied multivariable ordinary least squares regression to assess the association between polypharmacy and HRQoL in non-dialysis CKD patients.

RESULTS

A total of 649 CKD patients (weighted n = 667,989) were included. Patients with minor polypharmacy, major polypharmacy, and hyperpolypharmacy were 22.27%, 48.24%, and 29.48%, respectively. Major polypharmacy and hyperpolypharmacy were significantly and negatively associated with lower PCS scores when compared with minor polypharmacy [Beta = -3.12 (95% CI: -3.62, -2.62), p-value<0.001; Beta = -4.13 (95CI: -4.74, -3.52), p-value<0.001]. Similarly, major polypharmacy and hyperpolypharmacy were significantly and negatively associated with lower MCS scores when compared to minor polypharmacy [Beta = -0.38 (95% CI: -0.55, -0.20), p-value<0.001; Beta = -1.70 (95% CI: -2.01, -1.40), p-value<0.001]. The top 5 classes of medications used by CKD patients were antihyperlipidemic (56.31%), beta-adrenergic blockers (49.71%), antidiabetics (42.14%), analgesics (42.17%), and diuretics (39.65%).

CONCLUSION

Our study found that both major polypharmacy and hyperpolypharmacy were associated with lower HRQoL among non-dialysis CKD patients. This study highlights the need for further evaluation of the combination of medications taken by non-dialysis CKD patients to minimize unnecessary and inappropriate medication use.

Drug-drug interaction prediction based on local substructure features and their complements

The properties of drugs may undergo changes when multiple drugs are co-administered to treat co-existing or complex diseases, potentially leading to unforeseen drug-drug interactions (DDIs). Therefore, predicting potential drug-drug interactions has been an important task in pharmaceutical research. However, the following challenges remain: (1) existing methods do not work very well in cold-start scenarios, and (2) the interpretability of existing methods is not satisfactory. To address these challenges, we proposed a multi-channel feature fusion method based on local substructure features of drugs and their complements (LSFC). The local substructure features are extracted from each drug, interacted with those of another drug, and then integrated with the global features of two drugs for DDI prediction. We evaluated LSFC on two real-world DDI datasets in worm-start and cold-start scenarios. Comprehensive experiments demonstrate that LSFC consistently improved DDI prediction performance compared with the start-of-the-art methods. Moreover, visual inspection results showed that LSFC can detect crucial substructures of drugs for DDIs, providing interpretable DDI prediction. The source codes and data are available at https://github.com/Zhang-Yang-ops/LSFC.

Community pharmacists' perspectives on assessing kidney function and medication dosing for patients with advanced chronic kidney disease: A qualitative study using the theoretical domains framework

Background

The kidneys are responsible for the elimination of many drugs. Chronic kidney disease (CKD) is common, and medications may require adjustment to avoid adverse outcomes. Despite the availability of kidney drug dosing resources, people with CKD are at risk of inappropriate drug prescribing. Community pharmacists are in the ideal position to mitigate harm from inappropriate prescribing in this population.

Methods

In this qualitative study, community pharmacists were interviewed on their perspective on kidney function assessment and dose adjustment in people with advanced CKD (estimated glomerular filtration rate <30 mL/min/1.73 m2). The theoretical domains framework for targeting behavioural change was used to inform the interview guide and analysis. Purposeful sampling was employed until data saturation. Semistructured virtual interviews were audio-recorded, transcribed verbatim and uploaded into NVIVO 12 Pro to facilitate thematic analysis. Deductive and inductive iterative coding approaches were employed to determine categories and themes.

Results

Twelve pharmacists were interviewed, with a mean age of 42 years and 16 years of experience. Four themes comprising 10 categories were identified to influence kidney function assessment and dosing, including resources (information access, technology, references), environment (pharmacy infrastructure, practice setting), reflection (triggers, experience and training, collaboration) and leadership and governance (pharmacist role, advocacy). Feedback on an optimal CKD tool was collected, and enabling themes (categories) for implementation included knowledge and skills (education, training) and reflection (role, support, integration).

Conclusions

Findings will inform the interventions needed to improve implementation of kidney assessment and dosing of high-risk medications in people with kidney impairment into community pharmacy practice. Can Pharm J (Ott) 2023;156:xx-xx.

Optimal Care for Kidney Health: Development of a Merit-based Incentive Payment System (MIPS) Value Pathway

The Merit-based Incentive Payment System (MIPS) is a mandatory pay-for-performance program through the Centers for Medicare & Medicaid Services (CMS) that aims to incentivize high-quality care, promote continuous improvement, facilitate electronic exchange of information, and lower health care costs. Previous research has highlighted several limitations of the MIPS program in assessing nephrology care delivery, including administrative complexity, limited relevance to nephrology care, and inability to compare performance across nephrology practices, emphasizing the need for a more valid and meaningful quality assessment program. This article details the iterative consensus-building process used by the American Society of Nephrology Quality Committee from May 2020 to July 2022 to develop the Optimal Care for Kidney Health MIPS Value Pathway (MVP). Two rounds of ranked-choice voting among Quality Committee members were used to select among nine quality metrics, 43 improvement activities, and three cost measures considered for inclusion in the MVP. Measure selection was iteratively refined in collaboration with the CMS MVP Development Team, and new MIPS measures were submitted through CMS's Measures Under Consideration process. The Optimal Care for Kidney Health MVP was published in the 2023 Medicare Physician Fee Schedule Final Rule and includes measures related to angiotensin-converting enzyme inhibitor and angiotensin receptor blocker use, hypertension control, readmissions, acute kidney injury requiring dialysis, and advance care planning. The nephrology MVP aims to streamline measure selection in MIPS and serves as a case study of collaborative policymaking between a subspecialty professional organization and national regulatory agencies.

Dose adjustment of rheumatology and allergy/immunology medications in chronic kidney disease: awareness and knowledge among internal medicine housestaff

Background

Patients with chronic kidney disease (CKD) are at increased risk for adverse drug events due to medication dosing errors. We studied the awareness and knowledge among internal medicine housestaff (IMHS) of proper dose adjustment of commonly used rheumatology and allergy/immunology medications for patients with CKD.

Methods

We surveyed 353 IMHS to evaluate their awareness of the need for medication dose adjustments for patients with CKD and knowledge for medication adjustment by level of glomerular filtration rate for common rheumatology and allergy/immunology medications.

Results

There was lack of awareness and knowledge for both rheumatology and allergy/immunology medications. Incorrect awareness and knowledge were as follows: allopurinol, 21.2%, 73.4%; colchicine, 19.0%, 75.9%; diphenhydramine, 34.0%, 34.0%; loratadine, 82.2%, 93.2%; and montelukast, 34.0%, 34.0%, respectively. Exploratory logistic regression analyses showed that PGY1 residents had higher odds for lack of awareness for allopurinol (odds ratio [OR] 24.57, 95% CI [confidence interval] 4.69, 99.13, P < 0.001), colchicine (OR 3.98, 95% CI 1.50, 10.51, P < 0.01), diphenhydramine (OR 2.24, 95% CI 1.10, 4.54, P < 0.04), and montelukast (OR 2.45, 95% CI 1.20, 5.00, P < 0.05) than PGY3 residents. A nephrology rotation in medical school was associated with lower odds for incorrect knowledge for allopurinol (OR 0.46, 95% CI 0.25, 0.87, P < 0.05) and montelukast (OR 0.50, 95% CI 0.27, 0.92, P < 0.05).

Conclusion

Overall, awareness and knowledge were poor among IMHS for dose adjustments of rheumatology and allergy/immunology medications in patients with CKD. Proper education and exposure to nephrology during training may improve quality and safety of care for patients with CKD.

Structure and Function of a Provincial Renal Pharmacy Program: Applying the Chronic Care Model to Address Equitable Access to Medication and Pharmacy Services

Purpose

We described the rationale, structure, design, and components of a provincial pharmacy services network for patients with kidney disease as a model for enabling equitable access and universal care to pharmacy services and medications across a wide range of clinical conditions, and geographic expanse in British Columbia (BC).

Sources of Information

These include minutes from 53 Pharmacy Services and Formulary (PS&F) Committee meetings held from 1999 to November 2022, documentation available on the British Columbia Renal (BCR) website, direct observation and participation in committee meetings, as well as interviews with key individuals involved in different aspects of the program.

Methods

We reviewed documents and data describing the evolution, rationale, and functioning of the BCR provincial pharmacy services system and used a variety of sources as mentioned above. In addition, a qualitative thematic synthesis of reports of chronic care models (CCMs) was conducted to map the program components into the chronic disease management models.

Key Findings

The components of the provincial pharmacy program (PPP) include (1) a PS&F committee, with interdisciplinary and geographical representation; (2) a community of dispensing pharmacies with standardized protocols and information; (3) a dedicated medication and pharmacy services budget, and regular evaluation of budget, outcomes, and performance; (4) provincial contracts for specific medications; (5) communication and education; and (6) information management system. Program components are described in the context of chronic disease management models. The PPP includes dedicated formularies for people with kidney disease at different points in the disease trajectory, including those on and off dialysis. Equitable access to medications is supported across the province. All medications and counseling services are provided to all patients registered in the program, through a robust distributed model, including community- and hospital-based pharmacies. Provincial contracts managed centrally ensure best economic value, and centralized education and accountability structures ensure sustainability.

Limitations

Limitations of the current report include lack of formal evaluation of the program on patient outcomes, but this is relative as the intention of this article is to describe the program which has existed for over 20 years and is fully functional. Formal evaluation of a complex system would include by costs, cost avoidance, provider, and patients' satisfaction. We are developing a formal plan for this reason.

Implications

The PPP is embedded in the provincial infrastructure of BCR and enables the provision of essential medications and pharmacy services for patients with kidney disease throughout the spectrum. The leveraging of local and provincial resources, knowledge, and expertise to implement a comprehensive PPP, ensures transparency and accountability and may serve as a model for other jurisdictions.

Identifying subtypes of chronic kidney disease with machine learning: development, internal validation and prognostic validation using linked electronic health records in 350,067 individuals

BACKGROUND

Although chronic kidney disease (CKD) is associated with high multimorbidity, polypharmacy, morbidity and mortality, existing classification systems (mild to severe, usually based on estimated glomerular filtration rate, proteinuria or urine albumin-creatinine ratio) and risk prediction models largely ignore the complexity of CKD, its risk factors and its outcomes. Improved subtype definition could improve prediction of outcomes and inform effective interventions.

METHODS

We analysed individuals ≥18 years with incident and prevalent CKD (n = 350,067 and 195,422 respectively) from a population-based electronic health record resource (2006-2020; Clinical Practice Research Datalink, CPRD). We included factors (n = 264 with 2670 derived variables), e.g. demography, history, examination, blood laboratory values and medications. Using a published framework, we identified subtypes through seven unsupervised machine learning (ML) methods (K-means, Diana, HC, Fanny, PAM, Clara, Model-based) with 66 (of 2670) variables in each dataset. We evaluated subtypes for: (i) internal validity (within dataset, across methods); (ii) prognostic validity (predictive accuracy for 5-year all-cause mortality and admissions); and (iii) medications (new and existing by British National Formulary chapter).

FINDINGS

After identifying five clusters across seven approaches, we labelled CKD subtypes: 1. Early-onset, 2. Late-onset, 3. Cancer, 4. Metabolic, and 5. Cardiometabolic. Internal validity: We trained a high performing model (using XGBoost) that could predict disease subtypes with 95% accuracy for incident and prevalent CKD (Sensitivity: 0.81-0.98, F1 score:0.84-0.97). Prognostic validity: 5-year all-cause mortality, hospital admissions, and incidence of new chronic diseases differed across CKD subtypes. The 5-year risk of mortality and admissions in the overall incident CKD population were highest in cardiometabolic subtype: 43.3% (42.3-42.8%) and 29.5% (29.1-30.0%), respectively, and lowest in the early-onset subtype: 5.7% (5.5-5.9%) and 18.7% (18.4-19.1%).

MEDICATIONS

Across CKD subtypes, the distribution of prescription medication classes at baseline varied, with highest medication burden in cardiometabolic and metabolic subtypes, and higher burden in prevalent than incident CKD.

INTERPRETATION

In the largest CKD study using ML, to-date, we identified five distinct subtypes in individuals with incident and prevalent CKD. These subtypes have relevance to study of aetiology, therapeutics and risk prediction.

FUNDING

AstraZeneca UK Ltd, Health Data Research UK.

Geriatric Medicine Principles in Conservative Kidney Management: Frailty, Functional Assessments, and Selective Deprescribing

Conservative kidney management is a nondialytic treatment option for advanced chronic kidney disease that involves interventions to delay kidney function loss, medications to treat symptoms, and psychosocial support for patients and their loved ones. Several geriatric medicine principles are applicable to patients who are considering or receiving conservative kidney management, including the integration of physical, psychological, and social factors into medical care and medical decisions; careful review of medication lists with selective deprescribing; and screening for geriatric syndromes such as frailty and functional impairment. In this review, we discuss how functional and frailty assessments as well as selective deprescribing can be useful for patients considering or receiving conservative kidney management.

Polypharmacy, chronic kidney disease, and mortality among older adults: A prospective study of National Health and nutrition examination survey, 1999-2018

Introduction

Polypharmacy might contribute to a range of adverse outcomes, which could get worse in the elderly with chronic kidney disease (CKD). Evidence on polypharmacy, CKD, and mortality is scarce. We aimed to investigate the prospective association between polypharmacy, CKD and all-cause and cause-specific mortality in adults aged ≥65 years.

Methods

A total of 13,513 adults from the National Health and Nutrition Examination Surveys were included, following up from 1999 to 2018 until December 31, 2019. The simultaneous use of ≥5 medications by one individual was defined as polypharmacy. Survey-weighted Cox proportional hazard models were used to estimate the hazard ratio (HRs) for mortality from all-cause, cardiovascular diseases (CVD), and cancer after adjusting for potential confounding factors.

Results

Among the elderly with CKD, we identified 3,825 total deaths (1,325 CVD and 714 cancer) during a median follow-up of 7.7 years. Participants with polypharmacy had a 27% (HR = 1.27 [1.15, 1.39]) and 39% (HR = 1.39 [1.19, 1.62]) higher risk of all-cause and CVD mortality, respectively, but not for cancer mortality. Compared with the elderly with no polypharmacy and no CKD, the corresponding HRs (95%CIs) for all-cause mortality were 1.04 (0.96, 1.14) for those with no polypharmacy but CKD, 1.24 (1.11, 1.39) for with polypharmacy but no CKD, and 1.34 (1.21, 1.49) for those with both polypharmacy and CKD. A similar pattern was detected for CVD mortality.

Discussion

Polypharmacy was associated with elevated risks of all-cause and CVD mortality among the elderly CKD patients. More evidence-based approaches should be promoted for the appropriate deprescribing in the older adults with CKD.

Application of comprehensive pharmaceutical care program in identifying and addressing drug-related problems in hospitalized patients with osteoporosis

BACKGROUND

More information about the impacts of comprehensive pharmaceutical care program (CPCP) on the identification and resolution of drug-related problems (DRPs) is needed. This study aimed at researching the characteristics of DRPs in osteoporosis patients and evaluating the effect of CPCP in identifying and addressing DRPs.

METHODS

We performed a prospective interventional study in a teaching hospital. CPCP was established and conducted to identify and resolve DRPs by a multidisciplinary team (MDT) based on the Pharmaceutical Care Network Europe (PCNE) classification V9.0. Six pharmacists and one doctor worked directly in the study. All data was obtained from electronic medical records, direct observation and visits. The statistical analyses were performed using the SPSS Statistics software version 26.0.

RESULTS

Two hundred nineteen patients with osteoporosis were included in the final analysis. A total of 343 DRPs were identified, with an average of 1.57 DRPs per patient. The most common DRPs identified were "treatment safety P2" (66.8%; 229/343), followed by "other P3" (21.0%; 72/343) and "treatment effectiveness, P1" (12.2%; 42/343). The primary causes of DRPs were "dose selection C3" (35.9%; 211/588), followed by "drug use process C6" (28.9%; 170/588) and "drug selection C1" (12.6%; 74/588). Seven hundred eleven interventions were proposed to address the 343 DRPs, with an average of 2.1 interventions per DRP. The acceptance rate reached 95.9, and 91.0% of these accepted interventions were fully implemented. As a result, only 30 DRPs were unsolved before discharge. Additionally, the number of drugs was found to be associated with the number of DRPs significantly (p = 0.023).

CONCLUSION

DRPs frequently occurred in hospitalized osteoporosis patients. CPCP could be an effect option to solve and reduce DRPs for osteoporosis patients and should be implemented widely to increase patient safety.

Systematic Review of Risk Factors Assessed in Predictive Scoring Tools for Drug-Related Problems in Inpatients

Drug-related problems (DRP, defined as adverse drug events/reactions and medication errors) are a common threat for patient safety. With the aim to aid improved allocation of specialist resources and to improve detection and prevention of DRP, numerous predictive scoring tools have been proposed. The external validation and evidence for the transferability of these tools still faces limitations. However, the proposed scoring tools include partly overlapping sets of similar factors, which may allow a new approach to estimate the external usability and validity of individual risk factors. Therefore, we conducted this systematic review and analysis. We identified 14 key studies that assessed 844 candidate risk factors for inclusion into predictive scoring tools. After consolidation to account for overlapping terminology and variable definitions, we assessed each risk factor in the number of studies it was assessed, and, if it was found to be a significant predictor of DRP, whether it was included in a final scoring tool. The latter included intake of ≥ 8 drugs, drugs of the Anatomical Therapeutic Chemical (ATC) class N, ≥1 comorbidity, an estimated glomerular filtration rate (eGFR) <30 mL/min and age ≥60 years. The methodological approach and the individual risk factors presented in this review may provide a new starting point for improved risk assessment.

Education Standards for Pharmacists Providing Comprehensive Medication Management in Outpatient Nephrology Settings

Chronic kidney disease is a public health problem that has generated renewed interest due to poor patient outcomes and high cost. The Advancing American Kidney Health initiative aimed to transform kidney care with goals of decreasing the incidence of kidney failure and increasing the number of patients receiving home dialysis or a kidney transplant. New value-based models of kidney care that specify inclusion of pharmacists as part of the kidney care team were developed to help achieve these goals. To support this Advancing American Kidney Health-catalyzed opportunity for pharmacist engagement, the pharmacy workforce must have a fundamental knowledge of the core principles needed to provide comprehensive medication management to address chronic kidney disease and the common comorbid conditions and secondary complications. The Advancing Kidney Health through Optimal Medication Management initiative was created by nephrology pharmacists with the vision that every person with kidney disease receives optimal medication management through team-based care that includes a pharmacist to ensure medications are safe, effective, and convenient. Here, we propose education standards for pharmacists providing care for individuals with kidney disease in the outpatient setting to complement proposed practice standards.

Proton pump inhibitors may enhance the risk of citalopram- and escitalopram-associated sudden cardiac death among patients receiving hemodialysis

PURPOSE

Polypharmacy is common in the hemodialysis population and increases the likelihood that patients will be exposed to clinically significant drug-drug interactions. Concurrent use of proton pump inhibitors (PPIs) with citalopram or escitalopram may potentiate the QT-prolonging effects of these selective serotonin reuptake inhibitors through pharmacodynamic and/or pharmacokinetic interactions.

METHODS

We conducted a retrospective cohort study using data from the U.S. Renal Data System (2007-2017) and a new-user design to examine the differential risk of sudden cardiac death (SCD) associated with citalopram/escitalopram initiation vs. sertraline initiation in the presence and absence of PPI use among adults receiving hemodialysis. We studied 72 559 patients:14 983 (21%) citalopram/escitalopram initiators using a PPI; 26 503 (36%) citalopram/escitalopram initiators not using a PPI;10 779 (15%) sertraline initiators using a PPI; and 20 294 (28%) sertraline initiators not using a PPI (referent). The outcome of interest was 1-year SCD. We used inverse probability of treatment weighted survival models to estimate weighted hazard ratios (HRs) and 95% confidence intervals (CIs).

RESULTS

Compared with sertraline initiators not using a PPI, citalopram/escitalopram initiators using a PPI had the numerically highest risk of SCD (HR [95% CI] = 1.31 [1.11-1.54]), followed by citalopram/escitalopram initiators not using a PPI (HR [95% CI] = 1.22 [1.06-1.41]). Sertraline initiators using a PPI had a similar risk of SCD compared with those not using a PPI (HR [95% CI] = 1.03 [0.85-1.26]).

CONCLUSIONS

Existing PPI use may elevate the risk of SCD associated with citalopram or escitalopram initiation among hemodialysis patients.

Evaluation of Drug-Related Problems in Chronic Kidney Disease Patients

Background Chronic kidney disease (CKD) is a challenging global health problem with increasing prevalence worldwide. Concurrence of CKD and comorbidities results in the use of multiple medications and exposing patients to polypharmacy. Polypharmacy in CKD is common across all the stages of the disease and leads to poor medication adherence, higher healthcare costs, and drug-related problems, such as drug-drug interactions (DDIs) and adverse drug reactions (ADRs). DDIs and ADRs in CKD patients may lower the quality of life, increase the length of hospital stay, and augment the risks of morbidity and mortality. Methodology This was a hospital-based, prospective, cross-sectional study conducted in a secondary care hospital. The study population comprised 130 adult CKD patients admitted to the nephrology department including those on maintenance hemodialysis. Study-related data were obtained from the electronic patient case records. Medications prescribed to the patients were analyzed for potential DDIs (pDDIs) using Portable Emergency and Primary Care Information Database (PEPID 12.1) drug interaction checker. All observed and reported suspected ADRs related to the prescribed drugs were evaluated for causality, severity, preventability, and predictability. Results Out of the 130 patients, majority were males (n = 71, 54.6%), in the age group of 61-70 years (n = 45, 34.6%), and belonged to CKD stage 5 (n = 105, 80.8%). The mean number of drugs prescribed was 11.1 ± 3.8 per patient. The prevalence of pDDIs was found to be 89.2%. Upon analysis by the PEPID database, 708 pDDIs with 215 different pairs of interacting drugs were identified. Polypharmacy (odds ratio (OR): 62.34, 95% confidence interval (CI): 7.97-487.64, p < 0.001) was identified as an independent predictor of the occurrence of pDDIs. Negative binomial regression analysis revealed that dyslipidemia (incidence rate ratio (IRR): 2.7, 95% CI 2.09-3.48, p < 0.001) and diabetes (IRR: 1.2, 95% CI 1.01-1.54, p = 0.040) increased the probability of occurrence of pDDI by 2.7 and 1.2 folds, respectively. Furthermore, the likelihood of pDDI increased with every one-day increase in the length of hospital stay (IRR: 1.02, 95% CI 1.00-1.03, p = 0.015) by 1.02 times and polypharmacy (IRR: 6.30, 95% CI 3.04-13.02, p < 0.001) by 6.3 times. The incidence of ADRs was found to be 10.7%. Majority of suspected ADRs were possible (n = 7, 50.0%), of mild and moderate severity (n = 7, 50.0%), and non-preventable (n = 8, 57.1%) type. Conclusions This study investigated two important drug-related problems, pDDIs, and ADRs, in the CKD population. High proportion of CKD patients in the study had pDDIs. Comorbid conditions such as dyslipidemia and diabetes mellitus, length of hospital stay, and polypharmacy were significantly associated with increased likelihood of pDDIs. Furthermore, there was a burden of ADRs in the study population, of which most ADRs were possible and of mild to moderate severity. Prevention, identification, and resolution of these problems in CKD patients is important and can be achieved through medication optimization, which requires a proactive interdisciplinary collaboration between clinicians, clinical pharmacists, and other healthcare professionals.

Use of Physiologically Based Pharmacokinetic Modeling to Evaluate the Impact of Chronic Kidney Disease on CYP3A4-Mediated Metabolism of Saxagliptin

We characterized the impact of chronic kidney disease (CKD) on the cytochrome P450 (CYP) 3A4–mediated metabolism of saxagliptin to its metabolite, 5‐hydroxysaxagliptin, using a physiologically based pharmacokinetic (PBPK) model. A PBPK model of saxagliptin and its CYP3A4 metabolite, 5‐hydroxysaxagliptin, was constructed and validated for oral doses ranging from 5 to 100 mg. The observed ratios of area under the plasma concentration–time curve (AUC) and maximum plasma concentration (C_max) between healthy subjects and subjects with CKD were compared with those predicted using PBPK model simulations. Simulations were performed with virtual CKD populations having decreased CYP3A4 activity (ie, 64%‐75% of the healthy subjects’ CYP3A4 abundance) and preserved CYP3A4 activity (ie, 100% of the healthy subjects’ CYP3A4 abundance). We found that simulations using decreased CYP3A4 activity generally overpredicted the ratios of saxagliptin AUC and C_max in CKD compared with those using preserved CYP3A4 activity. Similarly, simulations using decreased CYP3A4 activity underpredicted the ratio of 5‐hydroxysaxagliptin AUC in moderate and severe CKD compared with simulations using preserved CYP3A4 activity. These findings suggest that decreased CYP3A4 activity in CKD underpredicts saxagliptin clearance compared with that observed clinically. Preserving CYP3A4 activity in CKD more closely estimates saxagliptin clearance and 5‐hydroxysaxagliptin exposure changes observed in vivo. Our findings suggest that there is no clinically meaningful impact of CKD on the metabolism of saxagliptin by CYP3A4. Since saxagliptin is not a highly sensitive substrate and validated probe for CYP3A4, this work represents a case study of a CYP3A4 substrate‐metabolite pair and is not a generalization for all CYP3A4 substrates.

Assessing the binding interaction of polystyrene sulfonate with amitriptyline in healthy volunteers: a cross-over design - The BIND study

PURPOSE

Polystyrene sulfonate is used for binding potassium in patients with chronic kidney disease (CKD). Because of its binding properties, it can potentially bind other medications and thereby decrease their bioavailability and effectiveness. Amitriptyline, often used by CKD patients for neuropathic pain, shows significant binding to polystyrene sulfonate in vitro. The purpose of this study was to determine the effect of polystyrene sulfonate on the exposure of amitriptyline in vivo when taken concomitantly in healthy volunteers.

METHODS

We performed a prospective cross-over study in nine healthy volunteers. Participants were 18 years of age or older, did not use any medication, and had no known allergy to amitriptyline or polystyrene sulfonate. Participants visited Deventer Teaching Hospital twice. Once they received a single dose of amitriptyline 50 mg and once they received a single dose of both polystyrene sulfonate 15 g and amitriptyline 50 mg taken concomitantly, with a wash out period of at least 1 week. After intake of the medication, six blood samples were collected, at 2, 3, 4, 5, 6, and 8 h. Blood samples were analysed to determine maximum concentration (Cmax) and area under the curve 0-8 h after intake (AUC_0-8 h). Difference in Cmax and AUC_0-8 h was analysed with a paired T-test or Wilcoxon signed rank test, depending on normality of the data. A p-value < 0.05 was considered statistically significant.

RESULTS

Of the nine participants included, eight participants completed both visits to the hospital. Mean maximum concentration (Cmax) of amitriptyline was 35.61 µg l^-1 (95% CI 27.90-43.33 µg l^-1) when taken alone, compared to 9.25 µg l^-1 (95% CI 6.59-11.92 µg l^-1) when taken with polystyrene sulfonate (p < 0.001). Mean AUC_0-8 h of amitriptyline was 168.20 µg × h l^-1 (95% CI 139.95-196.45 µg × h l^-1) when taken alone and 45.78 µg × h l^-1 (95% CI 30.20-61.36 µg × h l^-1) when taken with polystyrene sulfonate (p < 0.0001).

CONCLUSION

These results show a significant decrease in exposure of amitriptyline of approximately 75% when taken concomitantly with polystyrene sulfonate, thereby probably compromising therapy efficacy. Patients using both amitriptyline and polystyrene sulfonate should be informed to separate intake of these medications.

TRIAL REGISTRATION

NL8539 (17 April 2020).

Polypharmacy Predicts Onset and Transition of Frailty, Malnutrition, and Adverse Outcomes in Peritoneal Dialysis Patient

BACKGROUND

Polypharmacy, frailty and malnutrition are known predictors of adverse outcomes in dialysis patients. Little has reported about their interaction and composite prognostic values. We aimed to describe the interaction between polypharmacy, frailty, nutrition, hospitalization, and survival in peritoneal dialysis patients.

METHODS

In this prospective cohort study, we recruited 573 peritoneal dialysis patients. Drug burden was measured by medication number and daily pill load. Frailty and nutrition were assessed by the validated Frailty Score (FQ) and Subjective Global Assessment (SGA) respectively. All patients were followed for two years. Primary outcome was all-cause mortality. Secondary outcomes were fall and fracture episodes, hospitalization, change in FQ and SGA.

RESULTS

At baseline, each patient took 7.5 ± 2.6 medications with 15.5 ± 8.5 tablets per day. Medication number, but not daily pill load predicted baseline FQ (p = 0.004) and SGA (p = 0.03). Over 2 years, there were 69 fall and 1,606 hospitalization episodes. In addition, 148 (25.8%) patients died, while FQ and SGA changed by 0.73 ± 4.23 and -0.07 ± 1.06 respectively in survivors. Medication number (hospitalization: p = 0.02, survival: p = 0.005), FQ (hospitalization: p < 0.001; survival: p = 0.01) predicted hospitalization and survival. Medication number also predicted fall episodes (p = 0.02) and frailty progression (p = 0.002). Daily pill load did not predict any of these outcomes.

CONCLUSIONS

Drug burden is high in peritoneal dialysis patients, and it carries important prognostic implication. Medication number but not pill load significantly predicted onset and progression of frailty, malnutrition, fall, hospitalization, and mortality.

Drug-drug interactions in polypharmacy patients: The impact of renal impairment

Chronic kidney disease (CKD) is a long-term condition characterized by a gradual loss of kidney functions, usually accompanied by other comorbidities including cardiovascular diseases (hypertension, heart failure and stroke) and diabetes mellitus. Therefore, multiple pharmacological prescriptions are very common in these patients. Epidemiological and clinical observations have shown that polypharmacy may increase the probability of adverse drug reactions (ADRs), possibly through a higher risk of drug-drug interactions (DDIs). Renal impairment may further worsen this scenario by affecting the physiological and biochemical pathways underlying pharmacokinetics and ultimately modifying the pharmacodynamic responses. It has been estimated that the prevalence of DDIs in CKD patients ranged between 56.9% and 89.1%, accounting for a significant increase in healthcare costs, length and frequency of hospitalization, with a detrimental impact on health and quality of life of these patients. Despite these recognized high-risk conditions, scientific literature released on this topic is still limited. Basing on the most commonly prescribed therapies in patients with CKD, the present short review summarizes the current state of knowledge of the putative DDIs occurring in CKD patients undergoing polytherapy. The most relevant underlying mechanisms and their clinical significance are also debated.

PBPK Simulation-Based Evaluation of Ganciclovir Crystalluria Risk Factors: Effect of Renal Impairment, Old Age, and Low Fluid Intake

Dosing guidance is often lacking for chronic kidney disease (CKD) due to exclusion of such patients from pivotal clinical trials. Physiologically based pharmacokinetic (PBPK) modelling supports model-informed dosing when clinical data are lacking, but application of these approaches to patients with impaired renal function is not yet at full maturity. In the current study, a ganciclovir PBPK model was developed for patients with normal renal function and extended to CKD population. CKD-related changes in tubular secretion were explored in the mechanistic kidney model and implemented either as proportional or non-proportional decline relative to GFR. Crystalluria risk was evaluated in different clinical settings (old age, severe CKD and low fluid intake) by simulating ganciclovir medullary collecting duct (MCD) concentrations. The ganciclovir PBPK model captured observed changes in systemic pharmacokinetic endpoints in mild-to-severe CKD; these trends were evident irrespective of assumed pathophysiological mechanism of altered active tubular secretion in the model. Minimal difference in simulated ganciclovir MCD concentrations was noted between young adult and geriatric populations with normal renal function and urine flow (1 mL/min), with lower concentrations predicted for severe CKD patients. High crystalluria risk was identified at reduced urine flow (0.1 mL/min) as simulated ganciclovir MCD concentrations exceeded its solubility (2.6–6 mg/mL), irrespective of underlying renal function. The analysis highlighted the importance of appropriate distribution of virtual subjects’ systems data in CKD populations. The ganciclovir PBPK model illustrates the ability of this translational tool to explore individual and combined effects of age, urine flow, and renal impairment on local drug renal exposure.

Exploring co-dispensed drug use in patients on sevelamer or polystyrene sulfonate to identify potential novel binding interactions: a cross sectional in silico study : Potential novel binding interactions with resins

Background Sevelamer and polystyrene sulfonate are used for treating hyperphosphatemia and hyperkalaemia in chronic kidney disease patients. Because of their binding properties, these resins potentially bind other drugs in the gastrointestinal tract, thereby decreasing their bioavailability and clinical effectiveness. Aim The aim of this study was to explore co-dispensed drug use in patients on sevelamer or polystyrene sulfonate to identify potential novel binding interactions. Method In this in silico study, the 100 drugs most frequently co-dispensed with sevelamer/polystyrene sulfonate in the period 2000-2018 were extracted from the University Groningen IADB.nl database. Drugs dispensed to < 5% of patients, drugs not orally administered, drugs administered once daily before bedtime and drugs for which information on binding interactions with sevelamer or polystyrene was already available were excluded. The likelihood of an interaction (yes or no) of the included drugs was assessed based on pKa- and Log P values. For sevelamer, drugs with a pKa (acid) between 1.5 and 7.4 and or a Log P value > 2.0 were identified as potential interacting drug. For polystyrene sulfonate, drugs with a pKa (base) > 1.5 were identified as potential interacting drug. Results Of the top 100 drugs most frequently co-dispensed with sevelamer/polystyrene sulfonate, 22 and 27 potentially clinically relevant new interacting drugs were identified for sevelamer and polystyrene sulfonate respectively. Conclusion Several potentially relevant novel binding interactions for sevelamer and polystyrene sulfonate were identified based on dispensing data and assessment of chemical properties for which further interaction research is warranted.

Medication Burden and Prescribing Patterns in Patients on Hemodialysis in the USA, 2013-2017

INTRODUCTION

The medication burden of patients with end-stage renal disease (ESRD) on hemodialysis, a patient population with a high comorbidity burden and complex care requirements, is among the highest of any of the chronic diseases. The goal of this study was to describe the medication burden and prescribing patterns in a contemporary cohort of patients with ESRD on hemodialysis in the USA.

METHODS

We used the United States Renal Data System database from January 1, 2013, and December 31, 2017, to quantify the medication burden of patients with ESRD on hemodialysis aged ≥18 years. We calculated the average number of prescription medications per patient during each respective year (January-December), number of medications within classes, including potentially harmful medications, and trends in the number of medications and classes over the 5-year study period.

RESULTS

We included a total of 163,228 to 176,133 patients from 2013 to 2017. The overall medication burden decreased slightly, from a mean of 7.4 (SD 3.8) medications in 2013 to 6.8 (SD 3.6) medications in 2017. Prescribing of potentially harmful medications decreased over time (74.0% with at least one harmful medication class in 2013-68.5% in 2017). In particular, the prescribing of non-benzodiazepine hypnotics, benzodiazepines, and opioids decreased from 2013 to 2017 (12.2%-6.3%, 23.4%-19.3%, and 60.0%-53.4%, respectively). This trend was consistent across subgroups of age, sex, race, and low-income subsidy status.

CONCLUSIONS

Patients with ESRD on hemodialysis continued to have a high overall medication burden, with a slight reduction over time accompanied by a decrease in prescribing of several classes of harmful medications. Continued emphasis on assessment of appropriateness of high medication burden in patients with ESRD is needed to avoid exposure to potentially harmful or futile medications in this patient population.

Drug-related problems in older patients with advanced chronic kidney disease identified during pretransplant comprehensive geriatric assessment

BACKGROUND

Older patients with advanced chronic kidney disease may be exposed to a higher risk of adverse drug events due to chronic kidney disease and aging. The integration of clinical pharmacist into pretransplant comprehensive geriatric assessment is an opportunity to perform medication optimization.

OBJECTIVE

The aim was to describe drug-related problems in older patients with advanced chronic kidney disease.

METHODS

Observational study was conducted with retrospective data from July 2017 to April 2019. Patients≥65 years with advanced chronic kidney disease, referred by nephrologists for pretransplant comprehensive geriatric assessment were included. During medication optimization, the pharmacist evaluated the appropriateness of each medication prescribed and identified drug-related problems. Any drug-related problem identified lead to a pharmaceutical intervention.

RESULTS

In total, 103 patients were included (74.5±2.9 years, 26.2% female, 47.6% on dialysis). Overall, 394 drug-related problems were identified in 93.2% of patients (3.8±2.4 drug-related problems per patient) during the medication optimization. Cardiovascular medications (25.1%), antithrombotics (13.5%) and drugs for peptic ulcer and reflux disease (10.2%) were the most involved drugs in drug-related problems. Drug-related problems mainly concerned drugs without indication (27.1%), inappropriate method of administration (24.4%) and non-conformity to guidelines (20.1%).

CONCLUSION

A high prevalence of drug-related problems in older patients with advanced chronic kidney disease was identified during medication optimization. The systematic integration of a clinical pharmacist in the multidisciplinary team performing pretransplant comprehensive geriatric assessment may be relevant to detect inappropriate prescriptions and to prevent from adverse drug events.

Binding interactions with sevelamer and polystyrene sulfonate in vitro

This study explored the binding of 28 drugs, which were selected based on frequency of concomitant use and chemical properties, to sevelamer and polystyrene sulfonate in vitro. The relative binding was determined by dissolving the investigated drugs alone (=control), together with 800 mg of sevelamer and 15 g of polystyrene sulfonate at different pH levels (1.5, 5.5, and 7.4), respectively. After incubation at 37℃ and shaking for 60 min, the solutions were diluted and centrifuged, and the drug concentrations were quantified with validated analytical assays. The binding assays were performed in threefold. The mean relative binding (MRB) at each pH level was calculated, with a MRB >20% for at least one pH level to be considered as relevant binding. Fourteen and 23 potentially new binding interactions were identified with sevelamer and polystyrene sulfonate, respectively. These potentially new binding interactions have to be studied in vivo to assess their clinical relevance.

Potentially inappropriate primary care prescribing in people with chronic kidney disease: a cross-sectional analysis of a large population cohort

Background

Many drugs should be avoided or require dose-adjustment in chronic kidney disease (CKD). Previous estimates of potentially inappropriate prescribing rates have been based on data on a limited number of drugs, and mainly in secondary care settings.

Aim

To determine the prevalence of contraindicated and potentially inappropriate primary care prescribing in a complete population of people with known CKD.

Design and setting

Cross-sectional study of prescribing patterns in a complete geographical population of people with CKD, defined using laboratory data.

Method

Drugs were organised by British National Formulary advice — contraindicated drugs: ‘avoid’; potentially high-risk (PHR) drugs: ‘avoid if possible’; and dose-inappropriate (DI) drugs: ‘dose exceeded recommended maximums’. CKD was defined as estimated glomerular filtration rate (eGFR) ≤60 ml/min/1.73 m² for >3 months.

Results

In total, 28 489 people with CKD were included in the analysis, of whom 70.1% had CKD stage 3a, 22.4% CKD stage 3b, 5.9% CKD stage 4, and 1.5% CKD stage 5. A total of 3.9% (95% confidence interval [CI] = 3.7 to 4.1) of people with CKD stages 3a–5 were prescribed ≥1 contraindicated drug, 24.3% (95% CI = 23.8 to 24.8) ≥1 PHR drug, and 15.2% (95% CI = 14.8 to 15.6) ≥1 DI drug. Contraindicated drugs differed in prevalence by CKD stage and were most commonly prescribed in CKD stage 4, with a prevalence of 36.0% (95% CI = 33.7 to 38.2). PHR drugs were commonly prescribed in all CKD stages, ranging from 19.4% (95% CI = 17.6 to 21.3) in CKD stage 4 to 25.1% (95% CI = 24.5 to 25.7) in CKD stage 3a. DI drugs were most commonly prescribed in CKD stage 4 (26.4%, 95% CI = 24.3 to 28.6).

Conclusion

Potentially inappropriate prescribing is common at all stages of CKD. Development and evaluation of interventions to improve prescribing safety in this high-risk population are needed.

Multi-Drug Featurization and Deep Learning Improve Patient-Specific Predictions of Adverse Events

While the clinical approval process is able to filter out medications whose utility does not offset their adverse drug reaction profile in humans, it is not well suited to characterizing lower frequency issues and idiosyncratic multi-drug interactions that can happen in real world diverse patient populations. With a growing abundance of real-world evidence databases containing hundreds of thousands of patient records, it is now feasible to build machine learning models that incorporate individual patient information to provide personalized adverse event predictions. In this study, we build models that integrate patient specific demographic, clinical, and genetic features (when available) with drug structure to predict adverse drug reactions. We develop an extensible graph convolutional approach to be able to integrate molecular effects from the variable number of medications a typical patient may be taking. Our model outperforms standard machine learning methods at the tasks of predicting hospitalization and death in the UK Biobank dataset yielding an R² of 0.37 and an AUC of 0.90, respectively. We believe our model has potential for evaluating new therapeutic compounds for individualized toxicities in real world diverse populations. It can also be used to prioritize medications when there are multiple options being considered for treatment.

Medication management in dialysis: Barriers and strategies

People with end-stage kidney disease (ESKD) who require chronic dialysis are often reliant on complicated medication regimens to manage their health conditions. Due to the complexities of the advanced kidney disease, underlying comorbidities, and special instructions, medication regimens for patients on dialysis put patients at high risk for medication therapy problems related to safety, effectiveness, appropriateness, and adherence. This article explores the factors that affect optimal medication use for people on dialysis, including the broader drug use system, and offers recommendations around medication reconciliation, medication review, deprescribing, and considering social determinants of health to improve medication management among patients with ESKD.