Use of Estimating Equations for Dosing Antimicrobials in Patients with Acute Kidney Injury Not Receiving Renal Replacement Therapy.

Acute kidney injury (AKI) can potentially lead to the accumulation of antimicrobial drugs with significant renal clearance. Drug dosing adjustments are commonly made using the Cockcroft-Gault estimate of creatinine clearance (CLcr). The Modified Jelliffe equation is significantly better at estimating kidney function than the Cockcroft-Gault equation in the setting of AKI. The objective of this study is to assess the degree of antimicrobial dosing discordance using different glomerular filtration rate (GFR) estimating equations. This is a retrospective evaluation of antimicrobial dosing using different estimating equations for kidney function in AKI and comparison to Cockcroft-Gault estimation as a reference. Considering the Cockcroft-Gault estimate as the criterion standard, antimicrobials were appropriately adjusted at most 80.7% of the time. On average, kidney function changed by 30 mL/min over the course of an AKI episode. The median clearance at the peak serum creatinine was 27.4 (9.3⁻66.3) mL/min for Cockcroft Gault, 19.8 (9.8⁻47.0) mL/min/1.73 m² for MDRD and 20.5 (4.9⁻49.6) mL/min for the Modified Jelliffe equations. The discordance rate for antimicrobial dosing ranged from a minimum of 8.6% to a maximum of 16.4%. In the event of discordance, the dose administered was supra-therapeutic 100% of the time using the Modified Jelliffe equation. Use of estimating equations other than the Cockcroft Gault equation may significantly alter dosing of antimicrobials in AKI

Phenotype standardization for drug-induced kidney disease.

Drug-induced kidney disease is a frequent cause of renal dysfunction; however, there are no standards to identify and characterize the spectrum of these disorders. We convened a panel of international, adult and pediatric, nephrologists and pharmacists to develop standardized phenotypes for drug-induced kidney disease as part of the phenotype standardization project initiated by the International Serious Adverse Events Consortium. We propose four phenotypes of drug-induced kidney disease based on clinical presentation: acute kidney injury, glomerular, tubular, and nephrolithiasis, along with the primary and secondary clinical criteria to support the phenotype definition, and a time course based on the KDIGO/AKIN definitions of acute kidney injury, acute kidney disease, and chronic kidney disease. Establishing causality in drug-induced kidney disease is challenging and requires knowledge of the biological plausibility for the specific drug, mechanism of injury, time course, and assessment of competing risk factors. These phenotypes provide a consistent framework for clinicians, investigators, industry, and regulatory agencies to evaluate drug nephrotoxicity across various settings. We believe that this is the first step to recognizing drug-induced kidney disease and developing strategies to prevent and manage this condition

Rationale and Design of the Genetic Contribution to Drug Induced Renal Injury (DIRECT) Study

IntroductionNephrotoxicity from drugs accounts for 18% to 27% of cases of acute kidney injury. Determining a genetic predisposition may potentially be important in minimizing risk. The aims of this study are as follows: to determine whether a genetic predisposition exists for the development of drug-induced kidney disease (DIKD), using genome-wide association and whole-genome sequencing studies; to describe the frequency, course, risk factors, resolution and outcomes of DIKD cases; to investigate the role of ethnic/racial variability in the genetics of DIKD; and to explore the use of different tools establishing causality of DIKD.MethodsA total of 800 patients will be enrolled worldwide and blood samples for DNA collected. Data on the patient risk factors, vital signs, laboratory parameters, drug exposure, and DIKD course will be recorded. A panel of nephrologists will adjudicate all cases. Genome-wide association studies will be conducted using population controls matched on biogeographic ancestry to determine whether there is a genetic predisposition to DIKD. The primary endpoint is the identification of specific drug-related polymorphisms associated with DIKD. Secondary endpoints include the following: frequency of DIKD by causal drug and drug combinations; DIKD genetic variability; exploration of causality assessment tools; risk factor identification; description of the course of DIKD, including mortality and dialysis dependency at hospital discharge and 28 and 90 days post-event.ResultsData are currently being analyzed. Results are pending.DiscussionThe Genetic Contribution to Drug Induced Renal Injury (DIRECT) study will be the first observational cohort study to investigate the genetic determinants of DIKD. If the trial is positive, its findings will potentially translate into safer patient outcomes, by genotypic individualization of therapy and minimization of harm

Advancing Pharmacist Collaborative Care within Academic Health Systems.

INTRODUCTION:The scope of pharmacy practice has evolved over the last few decades to focus on the optimization of medication therapy. Despite this positive impact, the lack of reimbursement remains a significant barrier to the implementation of innovative pharmacist practice models. SUMMARY:We describe the successful development, implementation and outcomes of three types of pharmacist collaborative care models: (1) a pharmacist with physician oversight, (2) pharmacist-interprofessional teams and (3) physician-pharmacist teams. The outcome measurement of these pharmacist care models varied from the design phase to patient volume measurement and to comprehensive quality dashboards. All of these practice models have been successfully funded by affiliated health systems or grants. CONCLUSIONS:The expansion of pharmacist services delivered by clinical faculty has several benefits to affiliated health systems: (1) significant improvements in patient care quality, (2) access to experts in specialty areas, and (3) the dissemination of outcomes with national and international recognition, increasing the visibility of the health system

An Autoethnographic Study of Interprofessional Education Partnerships

Background: Thiis qualitative longitudinal study describes an Interprofessional Education (IPE) collaboration between a public university with medical and pharmacy schools and a private, non-affiliated university with a nursing school. The study explores the dynamics of the IPE partnership and lessons learned over a three-year period in which members of the collaborative directed three IPE simulations.Methods and Findings: An autoethnographic inquiry technique was used to interview eight collaborators who designed and implemented a large-scale IPE simulation for approximately 300 students and 100 faculty members annually for three years. Two, 90-minute group narrative interviews were conducted and audio recorded for transcription and analysis. Five themes emerged: Natural Collaboration, Shared Vision and Commitment, Integrations and Synergy, All Hands on Deck, and Lasting Foundations. Collaborators agreed the joint effort was a positive experience with multidimensional returns on investment. They applied teamwork competencies to build the partnership, develop the IPE simulation, and overcome implementation challenges.Conclusions: Thiis article provides readers with the opportunity to learn from those who have been intimately involved in the design and implementation of a large-scale IPE collaboration to enhance the shared learning process for health students and faculty. Findings highlight the complexity of building an IPE collaborative and the necessity to build partnerships with facilitators committed to communication

Proteomic Analysis of Urine Exosomes Reveals Renal Tubule Response to Leptospiral Colonization in Experimentally Infected Rats

BACKGROUND: Infectious Leptospira colonize the kidneys of reservoir (e.g. rats) and accidental hosts such as humans. The renal response to persistent leptospiral colonization, as measured by urinary protein biosignatures, has not been systematically studied. Urinary exosomes--bioactive membrane-bound nanovesicles--contain cell-state specific cargo that additively reflect formation all along the nephron. We hypothesized that Leptospira-infection will alter the content of urine exosomes, and further, that these Leptospira-induced alterations will hold clues to unravel novel pathways related to bacterial-host interactions. METHODOLOGY/PRINCIPAL FINDINGS: Exosome protein content from 24 hour urine samples of Leptospira-infected rats was compared with that of uninfected rats using SDS-PAGE and liquid chromatography/tandem mass spectrometry (LC-MS/MS). Statistical models were used to identify significantly dysregulated proteins in Leptospira-infected and uninfected rat urine exosomes. In all, 842 proteins were identified by LC-MS/MS proteomics of total rat urine and 204 proteins associated specifically with exosomes. Multivariate analysis showed that 25 proteins significantly discriminated between uninfected control and infected rats. Alanyl (membrane) aminopeptidase, also known as CD13 topped this list with the highest score, a finding we validated by Western immunoblotting. Whole urine analysis showed Tamm-Horsfall protein level reduction in the infected rat urine. Total urine and exosome proteins were significantly different in male vs. female infected rats. CONCLUSIONS: We identified exosome-associated renal tubule-specific responses to Leptospira infection in a rat chronic colonization model. Quantitative differences in infected male and female rat urine exosome proteins vs. uninfected controls suggest that urine exosome analysis identifies important differences in kidney function that may be of clinical and pathological significance

Clinical Characteristics and Outcomes of Drug-Induced Acute Kidney Injury Cases

Introduction Drug-induced acute kidney injury (DI-AKI) is a frequent adverse event. The identification of DI-AKI is challenged by competing etiologies, clinical heterogeneity among patients, and a lack of accurate diagnostic tools. Our research aims to describe the clinical characteristics and predictive variables of DI-AKI. Methods We analyzed data from the DIRECT study (NCT02159209), an international, multi-center, observational cohort study of enriched clinically adjudicated DI-AKI cases. Cases met the primary inclusion criteria if the patient was exposed to at least one nephrotoxic drug for a minimum of 24 hours prior to acute kidney injury (AKI) onset. Cases were clinically adjudicated and inter-rater reliability (IRR) was measured using Krippendorff's alpha. Variables associated with DI-AKI were identified using L1 regularized multivariable logistic regression. Model performance was assessed using the area under the receiver operating characteristic curve (ROC AUC). Results 314 AKI cases met the eligibility criteria for this analysis, and 271 (86%) cases were adjudicated as DI-AKI. The majority of the AKI cases were recruited from the United States (68%). The most frequent causal nephrotoxic drugs were vancomycin (48.7%), non-steroidal anti-inflammatory drugs (18.2%), and piperacillin/tazobactam (17.8%). The IRR for DI-AKI adjudication was 0.309. The multivariable model identified age, vascular capacity, hyperglycemia, infections, pyuria, serum creatinine trends, and contrast media as significant predictors of DI-AKI with good performance, ROC AUC 0.86. Conclusions The identification of DI-AKI is challenging even with comprehensive adjudication by experienced nephrologists. Our analysis identified key clinical characteristics and outcomes of DI-AKI compared to other AKI etiologies

The 6R’s of drug induced nephrotoxicity

Abstract Drug induced kidney injury is a frequent adverse event which contributes to morbidity and increased healthcare utilization. Our current knowledge of drug induced kidney disease is limited due to varying definitions of kidney injury, incomplete assessment of concurrent risk factors and lack of long term outcome reporting. Electronic surveillance presents a powerful tool to identify susceptible populations, improve recognition of events and provide decision support on preventative strategies or early intervention in the case of injury. Research in the area of biomarkers for detecting kidney injury and genetic predisposition for this adverse event will enhance detection of injury, identify those susceptible to injury and likely mitigate risk. In this review we will present a 6R framework to identify and mange drug induced kidney injury – risk, recognition, response, renal support, rehabilitation and research