Evolutionary Probability and Stacked Regressions Enable Data-Driven Protein Engineering with Minimized Experimental Effort.

Protein engineering through directed evolution and (semi)rational approaches is routinely applied to optimize protein properties for a broad range of applications in industry and academia. The multitude of possible variants, combined with limited screening throughput, hampers efficient protein engineering. Data-driven strategies have emerged as a powerful tool to model the protein fitness landscape that can be explored in silico, significantly accelerating protein engineering campaigns. However, such methods require a certain amount of data, which often cannot be provided, to generate a reliable model of the fitness landscape. Here, we introduce MERGE, a method that combines direct coupling analysis (DCA) and machine learning (ML). MERGE enables data-driven protein engineering when only limited data are available for training, typically ranging from 50 to 500 labeled sequences. Our method demonstrates remarkable performance in predicting a protein's fitness value and rank based on its sequence across diverse proteins and properties. Notably, MERGE outperforms state-of-the-art methods when only small data sets are available for modeling, requiring fewer computational resources, and proving particularly promising for protein engineers who have access to limited amounts of data.

Hematopoietic stem cell transplantation-associated thrombotic microangiopathy and the role of advanced practice providers and pharmacists.

Hematopoietic stem cell transplantation-associated thrombotic microangiopathy (HSCT-TMA) is a severe and potentially life-threatening complication. HSCT-TMA is often underdiagnosed due to multifactorial pathophysiology and a historic lack of standard diagnostic criteria. Identification of the multi-hit hypothesis and the key role of the complement system, particularly the lectin pathway of complement, has led to development of treatments targeting the underlying pathogenesis of HSCT-TMA. Additional research is ongoing to investigate the efficacy and safety of these targeted therapies in patients with HSCT-TMA. Advanced practice providers (APPs; nurse practitioners and physician assistants) and pharmacists are critical members of the multidisciplinary HSCT team and ensure management of patients throughout the continuum of care. Additionally, pharmacists and APPs can improve patient care through medication management of complex regimens; transplant education for patients, staff, and trainees; evidence-based protocol and clinical guideline development; assessment and reporting of transplant-related outcomes; and quality improvement initiatives to improve outcomes. Understanding the presentation, prognosis, pathophysiology, and treatment options for HSCT-TMA can improve each of these efforts. Collaborative practice model for monitoring and care of HSCT-TMA. Advanced practice providers and pharmacists contribute to many aspects of patient care in transplant centers, including medication management for complex regimens; transplant education for patients, staff, and trainees; evidence-based protocol and clinical guideline development; assessment and reporting of transplant-related outcomes; and quality improvement initiatives. HSCT-TMA is a severe and potentially life-threatening complication that is often underdiagnosed. The collaboration of a multidisciplinary team of advanced practice providers, pharmacists, and physicians can optimize recognition, diagnosis, management, and monitoring of patients with HSCT-TMA, thereby improving outcomes for these patients.

Implementation and results of a standardized process for identifying ambulatory pharmacy clinical outcome measures.

PURPOSE: Given the variation in clinical practice, a clinician-centric, standardized process to implement and validate clinical pharmacy outcome measures was developed. SUMMARY: Four specialty clinics with embedded clinic-based pharmacists underwent an iterative process to define, refine, and implement the build of electronic health record functionality for outcome measure data collection and reporting. Starting with a list of identified measures, clinic workgroups met to discuss each measure and identify gaps in measure implementation. Information technology experts created electronic documentation forms with discrete data and reports based on criteria specified by the clinic workgroups. Of 32 outcome measures identified as priorities for demonstrating pharmacists' impact in previous research, 29 were implemented for routine monitoring through this project. Implementation strategies included identification through existing reporting, development of discrete documentation tools within the electronic health record, and development of new reporting tools from available discrete data fields. Time to implementation decreased from the first to the last pilot clinic implementation, as demonstrated through a 9-day reduction in electronic documentation form development and 31-day reduction in report development turnaround time. CONCLUSION: A standardized and reproducible process was developed for the implementation of clinical pharmacy outcomes measures for 4 specialty clinics. The process was successfully utilized to develop measurable outputs for a variety of oncology and nononcology specialty disease states based upon multidisciplinary stakeholder input.

Correlation of Engraftment and Time from Melphalan Administration to Stem Cell Infusion.

Single-agent, high-dose melphalan continues to be the most commonly used conditioning regimen for transplantation-eligible patients with multiple myeloma undergoing autologous stem cell transplantation. The timing of melphalan administration with respect to stem cell infusion has not been clearly defined. Many institutions require a minimum of 24 hours between melphalan administration and stem cell infusion; however, some institutions have adopted shorter intervals based on melphalan's short half-life. Some studies have suggested that shortening the interval between melphalan administration and stem cell infusion may contribute to delays in engraftment, but this correlation has not been clearly evaluated or defined. This multicenter retrospective cohort study evaluated the times to neutrophil and platelet engraftment in patients who received stem cells at least 24 hours after melphalan (≥24 hours cohort) compared with those who received stem cells within 24 hours of melphalan (<24 hours cohort. The study included a total of 723 adult patients, 502 patients in the ≥24 hours cohort and 221 in the <24 hours cohort, treated at 3 transplantation centers between January 1, 2016, and September 30, 2019. Patient characteristics were summarized using descriptive statistics. The Fisher exact test was used to compare nominal categorical variables between the 2 cohorts, and the nonparametric van der Waerden test or Mood median test was used to compare ordinal or continuous variables. The median time to neutrophil engraftment was 12 days for both the ≥24 hours cohort (interquartile range [IQR], 11 to 12 days) and the <24 hours cohort (IQR, 11 to 13 days) (P = .07). The median time to platelet engraftment was 19 days for both the ≥24 hours cohort (IQR, 17 to 22 days) and <24 hours cohort (IQR, 17 to 20 days) (P = .25). The median time between melphalan administration and stem cell infusion in the <24 hours cohort was 18 hours, with a minimum time of 12 hours. The existing literature has not clearly defined the impact of the timing between melphalan administration and stem cell infusion on engraftment in autologous transplantation. The ability to safely shorten the interval between chemotherapy and transplantation could increase logistical flexibility and/or decrease the length of hospital stay. This large multicenter retrospective study did not identify a statistical or clinical impact on engraftment when melphalan was infused <24 hours or ≥24 hours before autologous stem cell infusion.

Development and implementation of a standardized process for identifying ambulatory pharmacy clinical outcomes measures.

PURPOSE: There is minimal available guidance on the process for selection of clinical outcomes measures to demonstrate the impact of clinic-based pharmacists (CBPs) despite an increased need and desire for outcomes data. The overall aims of this project were to (1) develop a standardized process for identifying clinical outcomes measures impacted by CBPs and (2) identify and prioritize potential clinical outcomes measures to track for CBPs within 4 specialty clinic pilot sites. METHODS: To develop a standardized process for identification and prioritization of measures, 4 consecutive Plan-Do-Study-Act (PDSA) cycles were performed with 4 different specialty clinics serving as pilot sites. Following each pilot cycle, rapid cycle improvements were implemented. A modified Delphi methodology served as the framework for measure selection and included gathering expert stakeholder insights regarding importance, feasibility, and validity of potential measures. Measures were identified via environmental scan of existing validated quality metrics, clinical guidelines, and other relevant literature. RESULTS: The primary outcome for this project was the development and refinement of a standardized process for measure identification and prioritization. The secondary outcome was narrowed and ranked lists of stakeholder-prioritized measures for 4 CBP-embedded pilot specialty clinics. These lists included 12 cardiothoracic transplant, 6 breast oncology, 9 neurology, and 7 gynecologic oncology measures. CONCLUSION: The measure identification and prioritization process developed was successfully utilized to identify and prioritize outcomes measures to track for 4 CBP-embedded specialty clinics. Due to the successful use of the process in a variety of specialty clinics, the standardized process has significant potential for expansion.

Molecular Dynamics Simulations of Protein Aggregation: Protocols for Simulation Setup and Analysis with Markov State Models and Transition Networks.

Protein disorder and aggregation play significant roles in the pathogenesis of numerous neurodegenerative diseases, such as Alzheimer's and Parkinson's diseases. The end products of the aggregation process in these diseases are highly structured amyloid fibrils. Though in most cases, small, soluble oligomers formed during amyloid aggregation are the toxic species. A full understanding of the physicochemical forces that drive protein aggregation is thus required if one aims for the rational design of drugs targeting the formation of amyloid oligomers. Among a multitude of biophysical and biochemical techniques that are employed for studying protein aggregation, molecular dynamics (MD) simulations at the atomic level provide the highest temporal and spatial resolution of this process, capturing key steps during the formation of amyloid oligomers. Here we provide a step-by-step guide for setting up, running, and analyzing MD simulations of aggregating peptides using GROMACS. For the analysis, we provide the scripts that were developed in our lab, which allow to determine the oligomer size and inter-peptide contacts that drive the aggregation process. Moreover, we explain and provide the tools to derive Markov state models and transition networks from MD data of peptide aggregation.

Plerixafor strategies for autologous hematopoietic cell transplant mobilization: A comparison of efficacy and cost.

Addition of plerixafor (P) to granulocyte colony stimulating factor (G-CSF) during peripheral blood mobilization of hematopoietic stem cells (HSC) increases the number of patients meeting collection goals prior to autologous stem cell transplant (aSCT). However, use of P is not universal among transplant centers due to cost. This study aims to compare clinical and financial impacts of using an algorithm-based P mobilization strategy versus use in all patients. This was a single center, retrospective analysis of adult patients with myeloma or amyloidosis receiving aSCT who received apheresis of their HSC between 3/1/2017 and 3/1/2019. Patients prior to 3/1/2018 were classified as receiving P "per algorithm" and those after this date were classified as "up-front" P. For the per-algorithm group, P was given for a pre-apheresis CD34+ cell count of <20 cells/µL on mobilization day 5 and patients returned on day 6 for apheresis. Of the 129 patients included, 55 received P per-algorithm and 74 received up-front P. There was a reduction in median number of apheresis days (1.5 vs 1 day, p < 0.001) and an increase in median number of CD34+ cells collected (6.6 vs 8.5 × 106 cells/kg, p < 0.001) with up-front P. Up-front P increased drug cost but reduced apheresis costs, which resulted in a net savings of $121 per patient in total mobilization costs. These findings suggest that use of up-front P for mobilization significantly reduces apheresis days and increases HSC collection yield without increasing overall cost per patient.

PyPEF-An Integrated Framework for Data-Driven Protein Engineering.

Data-driven strategies are gaining increased attention in protein engineering due to recent advances in access to large experimental databanks of proteins, next-generation sequencing (NGS), high-throughput screening (HTS) methods, and the development of artificial intelligence algorithms. However, the reliable prediction of beneficial amino acid substitutions, their combination, and the effect on functional properties remain the most significant challenges in protein engineering, which is applied to develop proteins and enzymes for biocatalysis, biomedicine, and life sciences. Here, we present a general-purpose framework (PyPEF: pythonic protein engineering framework) for performing data-driven protein engineering using machine learning methods combined with techniques from signal processing and statistical physics. PyPEF guides the identification and selection of beneficial proteins of a defined sequence space by systematically or randomly exploring the fitness of variants and by sampling random evolution pathways. The performance of PyPEF was evaluated concerning its predictive accuracy and throughput on four public protein and enzyme data sets using common regression models. It was proved that the program could efficiently predict the fitness of protein sequences for different target properties (predictive models with coefficient of determination values ranging from 0.58 to 0.92). By combining machine learning and protein evolution, PyPEF enabled the screening of proteins with various functions, reaching a screening capacity of more than 500,000 protein sequence variants in the timeframe of only a few minutes on a personal computer. PyPEF displayed significant accuracies on four public data sets (different proteins and properties) and underlined the potential of integrating data-driven technologies for covering different philosophies by either predicting the fitness of the variants to the highest accuracy accounting for epistatic effects or capturing the general trend of introduced mutations on the fitness in directed protein evolution campaigns. In essence, PyPEF can provide a powerful solution to current sequence exploration and combinatorial problems faced in protein engineering through exhaustive in silico screening of the sequence space.

Chimeric Antigen Receptor T Cell Therapy: A Comprehensive Review of Clinical Efficacy, Toxicity, and Best Practices for Outpatient Administration.

Chimeric antigen receptor T cell (CAR T) therapy has been integrated into treatment algorithms for acute leukemia, lymphoma, and, most recently, multiple myeloma. The number of clinical trials in both hematologic and solid tumor malignancies for new products and potential indications continues to grow. The clinical toxicities of CAR T therapy include cytokine release syndrome and immune effector cell-associated neurotoxicity syndrome, which often warrant inpatient admission for close monitoring and treatment. Consequently, many centers have built processes around the administration of these cells in the inpatient setting. As new products gain Food and Drug Administration approval with more manageable toxicity profiles, and as institutions gain experience with the management of these toxicities, outpatient administration and monitoring should be expected. In addition, payor reimbursements for inpatient treatment have put the sustainability of inpatient CAR T therapy in jeopardy, especially for centers with a payor mix that includes a high proportion of Medicare patients. This has the serious potential to limit access to care. As the use of CAR T therapy continues to expand, changes in payment models, care settings, or both are needed to ensure the sustainability of safe, efficient, and cost-effective treatment. This review outlines the efficacy and toxicity of currently approved products, as well as best practices to optimize the management of CAR T cell therapy in the outpatient setting.

Performance of Markov State Models and Transition Networks on Characterizing Amyloid Aggregation Pathways from MD Data.

Molecular dynamic (MD) simulations are an important tool for studying protein aggregation processes, which play a central role in a number of diseases including Alzheimer's disease. However, MD simulations produce large amounts of data, requiring advanced methods to extract mechanistic insight into the process under study. Transition networks (TNs) provide an elegant method to identify (meta)stable states and the transitions between them from MD simulations. Here, we apply two different methods to generate TNs for protein aggregation: Markov state models (MSMs), which are based on kinetic clustering the state space, and TNs using conformational clustering. The similarities and differences of both methods are elucidated for the aggregation of the fragment Aß16-22 of the Alzheimer's amyloid-ß peptide. In general, both methods perform excellently in identifying the main aggregation pathways. The strength of MSMs is that they provide a rather coarse and thus simply to interpret picture of the aggregation process. Conformation-sorting TNs, on the other hand, outperform MSMs in uncovering mechanistic details. We thus recommend to apply both methods to MD data of protein aggregation in order to obtain a complete picture of this process. As part of this work, a Python script called ATRANET for automated TN generation based on a correlation analysis of the descriptors used for conformational sorting is made publicly available.

American Society for Transplantation and Cellular Therapy Pharmacy Special Interest Group Position Statement on Pharmacy Practice Management and Clinical Management for COVID-19 in Hematopoietic Cell Transplantation and Cellular Therapy Patients in the United States.

The coronavirus-19 (COVID-19) pandemic poses a significant risk to patients undergoing hematopoietic stem cell transplantation (HCT) or cellular therapy. The American Society for Transplantation and Cellular Therapy Pharmacy Special Interest Group Steering Committee aims to provide pharmacy practice management recommendations for how to transition clinical HCT or cellular therapy pharmacy services using telemedicine capabilities in the inpatient and outpatient settings to maintain an equivalent level of clinical practice while minimizing viral spread in a high-risk, immunocompromised population. In addition, the Steering Committee offers clinical management recommendations for COVID-19 in HCT and cellular therapy recipients based on the rapidly developing literature. As the therapeutic and supportive care interventions for COVID-19 expand, collaboration with clinical pharmacy providers is critical to ensure safe administration in HCT recipients. Attention to drug-drug interactions (DDIs) and toxicity, particularly QTc prolongation, warrants close cardiac monitoring and potential cessation of concomitant QTc-prolonging agents. Expanded indications for hydroxychloroquine and tocilizumab have already caused stress on the usual supply chain. Detailed prescribing algorithms, decision pathways, and specific patient population stock may be necessary. The COVID-19 pandemic has challenged all members of the healthcare team, and we must continue to remain vigilant in providing pharmacy clinical services to one of the most high-risk patient populations while also remaining committed to providing compassionate and safe care for patients undergoing HCT and cellular therapies.

Evaluation of mobilization efficacy with an extended interval following plerixafor administration.

Plerixafor is a hematopoietic stem cell mobilizing agent used in combination with granulocyte-colony stimulating factor to improve collection for autologous stem cell transplantation. Despite a recommendation for administration 11 h prior to apheresis per package labeling, logistical challenges lead many institutions to administer plerixafor at an extended interval. The purpose of this study was to determine if plerixafor effectively and efficiently mobilizes CD34+ cells when given at an extended interval prior to apheresis. This was a retrospective evaluation of adult patients who received plerixafor based on an algorithm reserving daily plerixafor only for patients with a pre-apheresis CD34+ count of < 20 cells/µL (pre-apheresis plerixafor) or with a low CD34+ yield after the first apheresis session (rescue plerixafor). The primary outcome was achievement of a disease-specific collection goal of ≥ 6 ×106 CD34+ cells/kg for multiple myeloma and ≥ 4 ×106 CD34+ cells/kg for lymphoma. The mean interval between plerixafor administration and apheresis was 17 h in this study. Despite this extended interval, 64% of patients met their disease-specific collection goal. A minimum collection goal of ≥ 2 ×106 CD34+ cells/kg was achieved by 95% of patients. Mobilization remained efficient with a median of two days to complete collection. Based on this data, plerixafor effectively and efficiently mobilizes CD34+ cells when given at an extended interval prior to apheresis.

Influence of Germline Genetics on Tacrolimus Pharmacokinetics and Pharmacodynamics in Allogeneic Hematopoietic Stem Cell Transplant Patients.

Tacrolimus exhibits high inter-patient pharmacokinetics (PK) variability, as well as a narrow therapeutic index, and therefore requires therapeutic drug monitoring. Germline mutations in cytochrome P450 isoforms 4 and 5 genes (CYP3A4/5) and the ATP-binding cassette B1 gene (ABCB1) may contribute to interindividual tacrolimus PK variability, which may impact clinical outcomes among allogeneic hematopoietic stem cell transplantation (HSCT) patients. In this study, 252 adult patients who received tacrolimus for acute graft versus host disease (aGVHD) prophylaxis after allogeneic HSCT were genotyped to evaluate if germline genetic variants associated with tacrolimus PK and pharmacodynamic (PD) variability. Significant associations were detected between germline variants in CYP3A4/5 and ABCB1 and PK endpoints (e.g., median steady-state tacrolimus concentrations and time to goal tacrolimus concentration). However, significant associations were not observed between CYP3A4/5 or ABCB1 germline variants and PD endpoints (e.g., aGVHD and treatment-emergent nephrotoxicity). Decreased age and CYP3A5*1/*1 genotype were independently associated with subtherapeutic tacrolimus trough concentrations while CYP3A5*1*3 or CYP3A5*3/*3 genotypes, myeloablative allogeneic HSCT conditioning regimen (MAC) and increased weight were independently associated with supratherapeutic tacrolimus trough concentrations. Future lines of prospective research inquiry are warranted to use both germline genetic and clinical data to develop precision dosing tools that will optimize both tacrolimus dosing and clinical outcomes among adult HSCT patients.

Drug-Drug Interaction Between Isavuconazole and Tacrolimus: Is Empiric Dose Adjustment Necessary?

A paucity of data currently exists regarding drug-drug interaction (DDI) with tacrolimus and isavuconazole coadministration. Current literature provides conflicting recommendations on whether an empiric tacrolimus dose reduction is necessary when coadministered with isavuconazole. A 47-year-old African American female with acute lymphoblastic leukemia underwent an allogenic stem cell transplant (alloSCT) and was subsequently placed on routine posttransplant therapy including tacrolimus for immunosuppression and posaconazole for antifungal prophylaxis. Tacrolimus was empirically dose reduced due to the expected DDI with posaconazole based on current recommendations. Due to a persistently prolonged QTc interval and need for mold coverage, antifungal prophylaxis was ultimately changed to isavuconazole at standard recommended dosing. Tacrolimus was empirically dose reduced by 40% based on limited available literature at the time; however, tacrolimus trough concentrations subsequently declined, requiring an increase in tacrolimus dose to maintain therapeutic trough concentrations. Adequate isavuconazole absorption was documented through pharmacokinetic and pharmacodynamic data by measuring an isavuconazole trough concentration and directly observing isavuconazole's shortening effect on the QTc interval, respectively. Our experience in an alloSCT patient suggests that an empiric tacrolimus dose reduction is not required when isavuconazole is initiated, but close tacrolimus therapeutic drug monitoring should rather be performed to guide tacrolimus dosing.

Evaluation of a Test Dose Strategy for Pharmacokinetically-Guided Busulfan Dosing for Hematopoietic Stem Cell Transplantation.

Targeted busulfan dosing helps limit chemotherapy-related toxicity and optimize disease outcomes in hematopoietic stem cell transplantation (HCT). The objective of this study was to evaluate busulfan exposure from a pharmacokinetic (PK)-guided dosing strategy using a test dose. This retrospective evaluation included adult patients who underwent HCT at our institution with busulfan-based myeloablative (>9 mg/kg) conditioning between January 2014 and October 2015. A weight-based test dose of 0.8 mg/kg was used with PK assessments to predict area under the curve (AUCpred) achieved with weight-based dosing, with a target AUC of 4800 µM*minute (AUCtarget). PK from the test dose was then used to calculate a PK-guided first myeloablative busulfan dose. PK assessments were also done after the first dose to assess if the goal area under the curve (AUC) had been achieved (AUCfirst). A PK-guided first dose resulted in achievement of target AUC with target ranges of ±10% in 50% of patients, ±15% in 75%, and ±20% in 94%. This was an improved rate of target achievement compared with the 33%, 44%, and 63% of patients who achieved the desired AUC for these respective target ranges when using weight-based dosing (P = .12, .004, and <.001, respectively). The PK-guided strategy also decreased the variability of AUC from 3.6-fold in AUCpred from the weight-based test doses (2700.8 to 9631 µM*minute; SD, 1211.6 µM*minute) to 1.8-fold in AUCfirst from the PK-guided first doses (3672.1 to 6609.8 µM*minute; SD, 574.7 µM*minute). This reflects a 2-fold improvement in AUC variability with a PK-guided dosing strategy. This is also improved from the 3-fold variability in AUC reported in other studies. Weight and body surface area were significantly associated with the likelihood of AUCfirst being within the ±10% target range (P = .04 for both associations). There was no significant association between AUCfirst and death, relapse, or a composite of the two. These results demonstrate a significant improvement in target AUC attainment and less interpatient variability with PK-guided dosing using a test dose strategy compared with weight-based dosing.

The Hematopoietic Cell Transplant Pharmacist: Roles, Responsibilities, and Recommendations from the ASBMT Pharmacy Special Interest Group.

Pharmacists are increasingly recognized as an essential member of the multidisciplinary team for hematopoietic cell transplant (HCT) patients. However, until recently, their educational background, required training, and potential roles have not been well described. Therefore, the purpose of this manuscript is to provide supporting evidence for the HCT Clinical Pharmacist Role Description, which has been endorsed by several organizations including the American Society for Blood and Marrow Transplantation. This document provides justification for the various roles pharmacists fulfill with respect to medication management, transitions of care, patient and provider education, policy development, quality improvement, and research. Furthermore, evidence supporting the value, financially and otherwise, HCT pharmacists provide is reviewed. Pharmacists in the HCT setting are encouraged to report on novel practice models and potential impact of their services to increase awareness and utilization of HCT pharmacists.

Patient perspectives on the barriers associated with medication adherence to oral chemotherapy.

Purpose Appropriate use of oral chemotherapy is a challenge for patients and clinicians. The purpose of this study was to analyze cancer patients' use of oral chemotherapies and identify opportunities to improve adherence. Methods We developed a 30-question survey to address frequency and reasons for reducing/skipping doses; sources of information for oral chemotherapy use; perceived importance of food-drug effects; and ease of understanding labeling directions. Results Ninety-three patients taking oral chemotherapies with chronic myeloid leukemia, renal cell carcinoma, breast cancer, and colorectal cancer completed the survey. This was a well-educated population with 69% (n = 62) having completed some college; 51% (n = 47) female and 59% (n = 54) older than 50 years of age. Thirty percent of patients reported forgetting to take their oral chemotherapy at least "sometimes". Younger patients (<50 vs. ≥50, p = 0.002), shorter treatment duration (<6 vs. ≥6 months p = 0.03), or with chronic myeloid leukemia (vs. other diagnoses, p = 0.015) forget to take their oral chemotherapy at higher rates. Twenty-three percent (n = 21) indicated they intentionally skipped their oral chemotherapies and 38% (n = 8) of those did not inform their physicians. Forty-one percent (n = 28) taking drugs with significant food-drug effects did not think about their last meal before taking their oral chemotherapy and 80% (n = 55) did not understand the potential interactions. Additionally, 39% (n = 36/92) never looked at labeling and 15% (n = 14/91) had difficulty understanding label directions. Conclusion There are three main barriers associated with appropriate use of oral chemotherapies: misunderstanding about the timing of drug with food; stopping drug without informing physicians; and difficulty understanding labeling directions. A multipronged approach is needed to optimize communication of directions for optimal oral chemotherapy use.

Comparison of Weight-Based Dosing Strategies for Intravenous Immunoglobulin in Patients with Hematologic Malignancies.

STUDY OBJECTIVE: Intravenous immunoglobulin (IVIG) is a weight-based therapy used to treat and prevent infections in patients with hematologic malignancies. IVIG doses were calculated traditionally using actual body weight (ABW). However, limited pharmacokinetic data suggest dosing strategies using ideal body weight (IBW) or adjusted body weight (adjBW) may be appropriate given the small volume of distribution of IVIG. Our objective was to compare the effectiveness of using a precision-dosing strategy (IBW or adjBW) with a traditional-dosing strategy (ABW) for IVIG in patients with hematologic malignancies or those undergoing hematopoietic stem cell transplant, as well as to perform an IVIG drug use analysis. DESIGN: Retrospective cohort study. SETTING: Academic medical center. PATIENTS: Between April 2014 and September 2016, 209 IVIG encounters met inclusion criteria for the primary outcome. Of those encounters, 125 were dosed using the traditional-dosing strategy, and 84 used the precision-dosing strategy. MEASUREMENTS AND MAIN RESULTS: The primary outcome was infection rate within 30 days of IVIG administration. Secondary outcomes included 60-day infection rate, immunoglobulin G (IgG)-level response (IgG higher than 400 mg/dl), and realized and potential IVIG savings. No difference in 30-day infection rate between precision- and traditional-dosing strategies was identified (15.5% vs 16%, respectively, p=0.823). Similarly, no difference was identified in the 60-day infection rate between groups (23.2% vs 19.8%, respectively, p=0.568). Levels of IgG obtained after IVIG repletion showed a treatment response rate of 86% in both groups. Use of a precision-dosing strategy achieved $2600/month in institutional savings with the opportunity for an additional $4600/month in savings with complete adherence to this dosing strategy. CONCLUSION: No differences in infection rate and IgG-level response were identified when a precision-dosing strategy was used. Implementation of an IVIG precision-dosing strategy provided institutional cost savings.

Impact of clinical pharmacists in outpatient oncology practices: A review.

PURPOSE: Published literature describing the effectiveness of outpatient oncology services delivered by clinical pharmacists is summarized. METHODS: Peer-reviewed articles on studies evaluating the provision of outpatient oncology services by licensed clinical pharmacists in the United States were identified and screened according to a study-specific protocol. Only research publications focused on the care of oncology patients and indicating the evaluation of measurable services and outcomes were selected for review. Data from eligible studies were extracted using a standardized tool, and agreement by a majority of the investigators was required for inclusion of articles in the final review. RESULTS: Eight publications were included in the review; nearly all were published since 2010. All of the included articles reported on results of observational studies in which data sourced from surveys, existing medical or prescription records, or medical cost information were analyzed to measure patient or provider satisfaction (or both) or patient-reported health outcomes. The evaluated evidence indicated that pharmacists were effective in identifying treatment issues and medication misuse, delivering satisfactory and valued services, and finding mechanisms to reduce medical costs or generate revenue to justify continuation or support expansion of clinical pharmacy services. Moreover, in two instances, pharmacists' services were associated with improvements in symptoms reported by oncology patients. CONCLUSION: Available evidence suggests that outpatient oncology practices may benefit from integrating pharmacists into care models in order to more effectively, efficiently, and holistically address the needs of patients with cancer.

ReCAP: Pharmacists' Impact in Hematopoietic Stem-Cell Transplantation: Economic and Humanistic Outcomes.

PURPOSE: This study seeks to evaluate the impact of pharmacists' involvement in the care of patients undergoing bone marrow transplantation (BMT). METHODS: This was a three-phase study. In phase 1, inpatient and outpatient pharmacist encounters were totaled and services provided were translated to revenue generated from prescription revenue and billing charges. In phase 2, pharmacists' activities and interventions were associated with time savings estimated by providers. In phase 3, patients and providers were surveyed to assess their expectations, experiences, and value perceptions of pharmacists.A positive response rate of 80%for each survey item was set as the threshold for high expectations and successful service delivery. RESULTS: In phase 1, after 6 months of data collection, clinical services were provided to 170 inpatients and 290 outpatients. For inpatients, there was an average discharge prescription revenue of $990 per patient through the outpatient pharmacy. In the outpatient clinic, pharmacist visits generated an additional $23,000 in charges (approximately $80 per patient) and an annual prescription revenue of approximately $840,000 through the outpatient pharmacy. In phase 2, pharmacists' activities led to a total time savings of 122 hours. In phase 3, patients and providers met the predetermined 80% positive response rate for most survey items. The item for which patient and provider responses consistently did not meet this threshold related to pharmacists educating patients about their BMT. CONCLUSION: Pharmacists are valuable resources in the care of patients undergoing BMT, as their care translates to increased revenue, provider time savings, and positive perceptions from patients and providers.