A Review of Therapeutic Escalation for Pediatric Patients Admitted for Inflammatory Bowel Disease Flares.

OBJECTIVES: The objective was to complete a single hospital quality assessment to characterize the use, safety, and outcomes of the 5 specialty medications (infliximab, adalimumab, tofacitinib, ustekinumab, and vedolizumab) used for the treatment of pediatric inflammatory bowel disease following admission due to a disease flare. METHODS: This was a single-center, retrospective, quality assessment of the current clinical practice. The electronic medical record was queried to identify patients ages 0 to 18 years admitted to our institution during a 2-year period from September 1, 2019, to September 30, 2021, who received infliximab, adalimumab, tofacitinib, ustekinumab, and/or vedolizumab for the treatment of Crohn's disease or ulcerative colitis followed by manual data collection and cohort analysis. RESULTS: The total population comprised 20 patients during 23 encounters. The biologic-naive group included 12 patients during 12 encounters, 2 of which are also included in the biologic-experienced group, which captured a total of 10 patients during 11 encounters. In the biologic-naive group, infliximab monotherapy comprised the largest percentage of therapy plans across encounters (91.6%), with a statistically significant greater number of readmissions within 6 months of discharge (p = 0.00031). The biologic-experienced cohort had a statistically significant longer duration of intravenous corticosteroid administration (p = 0.016) and a large variety of therapy plans. CONCLUSIONS: The diversity of practice observed within our institution supports the need for guidelines to define standard of therapy or guide selection of second-line therapies based on patient-specific factors.

Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care.

Introduction: A growing number of healthcare providers make complex treatment decisions guided by electronic health record (EHR) software interfaces. Many interfaces integrate multiple sources of data (e.g., labs, pharmacy, diagnoses) successfully, though relatively few have incorporated genetic data. Method: This study utilizes informatics methods with predictive modeling to create and validate algorithms to enable informed pharmacogenomic decision-making at the point of care in near real-time. The proposed framework integrates EHR and genetic data relevant to the patient's current medications including decision support mechanisms based on predictive modeling. We created a prototype with EHR and linked genetic data from the Department of Veterans Affairs (VA), the largest integrated healthcare system in the US. The EHR data included diagnoses, medication fills, and outpatient clinic visits for 2,600 people with HIV and matched uninfected controls linked to prototypic genetic data (variations in single or multiple positions in the DNA sequence). We then mapped the medications that patients were prescribed to medications defined in the drug-gene interaction mapping of the Clinical Pharmacogenomics Implementation Consortium's (CPIC) level A (i.e., sufficient evidence for at least one prescribing action) guidelines that predict adverse events. CPIC is a National Institute of Health funded group of experts who develop evidence based pharmacogenomic guidelines. Preventable adverse events (PAE) can be defined as a harmful outcome from an intervention that could have been prevented. For this study, we focused on potential PAEs resulting from a medication-gene interaction. Results: The final model showed AUC scores of 0.972 with an F1 score of 0.97 with genetic data as compared to 0.766 and 0.73 respectively, without genetic data integration. Discussion: Over 98% of people in the cohort were on at least one medication with CPIC level a guideline in their lifetime. We compared predictive power of machine learning models to detect a PAE between five modeling methods: Random Forest, Support Vector Machine (SVM), Extreme Gradient Boosting (XGBoost), K Nearest neighbors (KNN), and Decision Tree. We found that XGBoost performed best for the prototype when genetic data was added to the framework and improved prediction of PAE. We compared area under the curve (AUC) between the models in the testing dataset.

Pharmacists leadership in a medication shortage response: Illustrative examples from a health system response to the COVID-19 crisis.

As medication experts, clinical pharmacists play an active and dynamic role in a medication shortage response. Supplementing existing guidelines with an actionable framework of discrete activities to support effective medication shortage responses can expand the scope of pharmacy practice and improve patient care. Dissemination of best practices and illustrative, networked examples from health systems can support the adoption of innovative solutions. In this descriptive report, we document the translation of published shortage mitigation guidelines into system success through broad pharmacist engagement and the adaption and implementation of targeted strategies. The profound, wide-reaching medication shortages that accompanied the coronavirus disease 2019 (COVID-19) pandemic are used to highlight coordinated but distinct practices and how they have been combined to expand the influence of the pharmacy enterprise.

Clinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection.

OBJECTIVE: Severe acute respiratory syndrome virus (SARS-CoV-2) has infected millions of people worldwide. Our goal was to identify risk factors associated with admission and disease severity in patients with SARS-CoV-2. DESIGN: This was an observational, retrospective study based on real-world data for 7,995 patients with SARS-CoV-2 from a clinical data repository. SETTING: Yale New Haven Health (YNHH) is a five-hospital academic health system serving a diverse patient population with community and teaching facilities in both urban and suburban areas. POPULATIONS: The study included adult patients who had SARS-CoV-2 testing at YNHH between March 1 and April 30, 2020. MAIN OUTCOME AND PERFORMANCE MEASURES: Primary outcomes were admission and in-hospital mortality for patients with SARS-CoV-2 infection as determined by RT-PCR testing. We also assessed features associated with the need for respiratory support. RESULTS: Of the 28605 patients tested for SARS-CoV-2, 7995 patients (27.9%) had an infection (median age 52.3 years) and 2154 (26.9%) of these had an associated admission (median age 66.2 years). Of admitted patients, 2152 (99.9%) had a discharge disposition at the end of the study period. Of these, 329 (15.3%) required invasive mechanical ventilation and 305 (14.2%) expired. Increased age and male sex were positively associated with admission and in-hospital mortality (median age 80.7 years), while comorbidities had a much weaker association with the risk of admission or mortality. Black race (OR 1.43, 95%CI 1.14-1.78) and Hispanic ethnicity (OR 1.81, 95%CI 1.50-2.18) were identified as risk factors for admission, but, among discharged patients, age-adjusted in-hospital mortality was not significantly different among racial and ethnic groups. CONCLUSIONS: This observational study identified, among people testing positive for SARS-CoV-2 infection, older age and male sex as the most strongly associated risks for admission and in-hospital mortality in patients with SARS-CoV-2 infection. While minority racial and ethnic groups had increased burden of disease and risk of admission, age-adjusted in-hospital mortality for discharged patients was not significantly different among racial and ethnic groups. Ongoing studies will be needed to continue to evaluate these risks, particularly in the setting of evolving treatment guidelines.

Clinical Characteristics and Outcomes for 7,995 Patients with SARS-CoV-2 Infection.

OBJECTIVE: Severe acute respiratory syndrome virus (SARS-CoV-2) has infected millions of people worldwide. Our goal was to identify risk factors associated with admission and disease severity in patients with SARS-CoV-2. DESIGN: This was an observational, retrospective study based on real-world data for 7,995 patients with SARS-CoV-2 from a clinical data repository. SETTING: Yale New Haven Health (YNHH) is a five-hospital academic health system serving a diverse patient population with community and teaching facilities in both urban and suburban areas. POPULATIONS: The study included adult patients who had SARS-CoV-2 testing at YNHH between March 1 and April 30, 2020. MAIN OUTCOME AND PERFORMANCE MEASURES: Primary outcomes were admission and in-hospital mortality for patients with SARS-CoV-2 infection as determined by RT-PCR testing. We also assessed features associated with the need for respiratory support. RESULTS: Of the 28605 patients tested for SARS-CoV-2, 7995 patients (27.9%) had an infection (median age 52.3 years) and 2154 (26.9%) of these had an associated admission (median age 66.2 years). Of admitted patients, 2152 (99.9%) had a discharge disposition at the end of the study period. Of these, 329 (15.3%) required invasive mechanical ventilation and 305 (14.2%) expired. Increased age and male sex were positively associated with admission and in-hospital mortality (median age 80.7 years), while comorbidities had a much weaker association with the risk of admission or mortality. Black race (OR 1.43, 95%CI 1.14-1.78) and Hispanic ethnicity (OR 1.81, 95%CI 1.50-2.18) were identified as risk factors for admission, but, among discharged patients, age-adjusted in-hospital mortality was not significantly different among racial and ethnic groups. CONCLUSIONS: This observational study identified, among people testing positive for SARSCoV-2 infection, older age and male sex as the most strongly associated risks for admission and in-hospital mortality in patients with SARS-CoV-2 infection. While minority racial and ethnic groups had increased burden of disease and risk of admission, age-adjusted in-hospital mortality for discharged patients was not significantly different among racial and ethnic groups. Ongoing studies will be needed to continue to evaluate these risks, particularly in the setting of evolving treatment guidelines.

Dynamic pharmacy leadership during the COVID-19 crisis: Optimizing patient care through formulary and drug shortage management.

PURPOSE: The coronavirus disease 2019 (COVID-19) pandemic has created unprecedented challenges for health systems around the world. We describe our approach to adapting the pharmacy leadership structure to address critical medication shortages through innovative data analysis, procurement strategies, and rapid implementation of medication policy. SUMMARY: Yale New Haven Health deployed a system incident management command structure to effectively respond to the COVID-19 crisis. System pharmacy services adopted a similar framework to enable efficient communication and quick decision-making in key domains, including drug procurement and policy. By refining a model to project health-system medication needs, we were able to anticipate challenges and devise alternative treatment algorithms. By leveraging big data and creating a system knowledge base, we were able to consolidate reporting and coordinate efforts to ensure system success. Various procurement strategies were employed to ensure adequate supply, including frequent communication with our wholesaler, sourcing direct from suppliers, outsourcing of sterile products compounding to registered 503B outsourcing facilities, and acquisition of active pharmaceutical ingredients for compounding of essential medications. Strategic positioning of pharmacists within the health system's incident command response teams and rapid adaption of drug use policy governance fueled accelerated response and nimble implementation. Communication was streamlined and executed via multiple outlets to reach a broad audience across the health system. CONCLUSION: With medication shortages posing a threat to patient care, dynamic pharmacy leadership proved essential to providing patient care at the height of the COVID-19 pandemic. System alignment and the rapid adaption of the existing framework for drug shortage management and medication use policy were crucial to success in crisis response.

Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for the Use of Potent Volatile Anesthetic Agents and Succinylcholine in the Context of RYR1 or CACNA1S Genotypes.

The identification in a patient of 1 of the 50 variants in the RYR1 or CACNA1S genes reviewed here should lead to a presumption of malignant hyperthermia susceptibility (MHS). MHS can lead to life-threatening reactions to potent volatile anesthetic agents or succinylcholine. We summarize evidence from the literature supporting this association and provide therapeutic recommendations for the use of these agents in patients with these RYR1 or CACNA1S variants (updates at https://cpicpgx.org/guidelines and www.pharmgkb.org).

ProvenCare-Psoriasis: A disease management model to optimize care.

There are a variety of evidence-based treatments available for psoriasis. The transition of this evidence into practice is challenging. In this article, we describe the design of our disease management approach for Psoriasis (ProvenCare®) and present preliminary evidence of the effect of its implementation. In designing our approach, we identified three barriers to optimal care: 1) lack of a standardized and discrete disease activity measure within the electronic health record, 2) lack of a system-wide, standardized approach to care, and 3) non-uniform financial access to appropriate non-pharmacologic treatments. We implemented several solutions, which collectively form our approach. We standardized the documentation of clinical data such as body surface area (BSA), created a disease management algorithm for psoriasis, and aligned incentives to facilitate the implementation of the algorithm. This approach provides more coordinated, cost effective care for psoriasis, while being acceptable to key stakeholders. Future work will examine the effect of the implementation of our approach on important clinical and patient outcomes.

Utilizing big data to provide better health at lower cost.

PURPOSE: The efficient use of big data in order to provide better health at a lower cost is described. SUMMARY: As data become more usable and accessible in healthcare, organizations need to be prepared to use this information to positively impact patient care. In order to be successful, organizations need teams with expertise in informatics and data management that can build new infrastructure and restructure existing infrastructure to support quality and process improvements in real time, such as creating discrete data fields that can be easily retrieved and used to analyze and monitor care delivery. Organizations should use data to monitor performance (e.g., process metrics) as well as the health of their populations (e.g., clinical parameters and health outcomes). Data can be used to prevent hospitalizations, combat opioid abuse and misuse, improve antimicrobial stewardship, and reduce pharmaceutical spending. These examples also serve to highlight lessons learned to better use data to improve health. For example, data can inform and create efficiencies in care and engage and communicate with stakeholders early and often, and collaboration is necessary to have complete data. To truly transform care so that it is delivered in a way that is sustainable, responsible, and patient-centered, health systems need to act on these opportunities, invest in big data, and routinely use big data in the delivery of care. CONCLUSION: Using data efficiently has the potential to improve the care of our patients and lower cost. Despite early successes, barriers to implementation remain including data acquisition, integration, and usability.

Developing Pharmacogenomic Reports: Insights from Patients and Clinicians.

Increasingly, for a variety of indications, patients have their genomes sequenced and actionable results returned. A subset of returned results is pharmacogenomic (PGx) variants involved in the metabolism or action of medications. Although the impact of these variants on health is well-documented, little research exists on how to communicate these findings to patients and clinicians. We conducted semistructured interviews with end users to understand how best to communicate PGx results. Overall, patients and clinicians had similar opinions regarding report content, delivery, and application. Unique concerns specific to each stakeholder group were also expressed. Patients wanted an easy-to-understand individualized report that clinicians utilized to guide their care. Clinicians wanted reports that were easy-to-use, actionable, and integrated into their workflow. Implementation of these reports in a clinical setting will allow for broader user feedback and iterative improvement.

Multigene predictors of tacrolimus exposure in kidney transplant recipients.

AIM: Determine the effect of the genetic variants beyond CYP3A5*3 on tacrolimus disposition. PATIENTS & METHODS: We studied genetic correlates of tacrolimus trough concentrations with POR*28, CYP3A4*22 and ABCC2 haplotypes in a large, ethnically diverse kidney transplant cohort (n = 2008). RESULTS: Subjects carrying one or more CYP3A5*1 alleles had lower tacrolimus trough concentrations (p = 9.2 × 10(-75)). The presence of one or two POR*28 alleles was associated with a 4.63% reduction in tacrolimus trough concentrations after adjusting for CYP3A5*1 and clinical factors (p = 0.037). In subset analyses, POR*28 was significant only in CYP3A5*3/*3 carriers (p = 0.03). The CYP3A4*22 variant and the ABBC2 haplotypes were not associated. CONCLUSION: This study confirmed that CYP3A5*1 was associated with lower tacrolimus trough concentrations. POR*28 was associated with decreased tacrolimus trough concentrations although the effect was small possibly through enhanced CYP3A4 enzyme activity. CYP3A4*22 and ABCC2 haplotypes did not influence tacrolimus trough concentrations. Original submitted 19 December 2014; Revision submitted 2 April 2015.

2-Amino-[1,2,4]triazolo[1,5-a]pyridines as JAK2 inhibitors.

The advancement of a series of ligand efficient 2-amino-[1,2,4]triazolo[1,5-a]pyridines, initially identified from high-throughput screening, to a JAK2 inhibitor with pharmacodynamic activity in a mouse xenograft model is disclosed.

Novel triazolo-pyrrolopyridines as inhibitors of Janus kinase 1.

The identification of a novel fused triazolo-pyrrolopyridine scaffold, optimized derivatives of which display nanomolar inhibition of Janus kinase 1, is described. Prototypical example 3 demonstrated lower cell potency shift, better permeability in cells and higher oral exposure in rat than the corresponding, previously reported, imidazo-pyrrolopyridine analogue 2. Examples 6, 7 and 18 were subsequently identified from an optimization campaign and demonstrated modest selectivity over JAK2, moderate to good oral bioavailability in rat with overall pharmacokinetic profiles comparable to that reported for an approved pan-JAK inhibitor (tofacitinib).

Identification of C-2 hydroxyethyl imidazopyrrolopyridines as potent JAK1 inhibitors with favorable physicochemical properties and high selectivity over JAK2.

Herein we report on the structure-based discovery of a C-2 hydroxyethyl moiety which provided consistently high levels of selectivity for JAK1 over JAK2 to the imidazopyrrolopyridine series of JAK1 inhibitors. X-ray structures of a C-2 hydroxyethyl analogue in complex with both JAK1 and JAK2 revealed differential ligand/protein interactions between the two isoforms and offered an explanation for the observed selectivity. Analysis of historical data from related molecules was used to develop a set of physicochemical compound design parameters to impart desirable properties such as acceptable membrane permeability, potent whole blood activity, and a high degree of metabolic stability. This work culminated in the identification of a highly JAK1 selective compound (31) exhibiting favorable oral bioavailability across a range of preclinical species and robust efficacy in a rat CIA model.

Structure-based discovery of C-2 substituted imidazo-pyrrolopyridine JAK1 inhibitors with improved selectivity over JAK2.

Herein we describe our successful efforts in obtaining C-2 substituted imidazo-pyrrolopyridines with improved JAK1 selectivity relative to JAK2 by targeting an amino acid residue that differs between the two isoforms (JAK1: E966; JAK2: D939). Efforts to improve cellular potency by reducing the polarity of the inhibitors are also detailed. The X-ray crystal structure of a representative inhibitor in complex with the JAK1 enzyme is also disclosed.

Discovery and optimization of C-2 methyl imidazopyrrolopyridines as potent and orally bioavailable JAK1 inhibitors with selectivity over JAK2.

Herein we report the discovery of the C-2 methyl substituted imidazopyrrolopyridine series and its optimization to provide potent and orally bioavailable JAK1 inhibitors with selectivity over JAK2. The C-2 methyl substituted inhibitor 4 exhibited not only improved JAK1 potency relative to unsubstituted compound 3 but also notable JAK1 vs JAK2 selectivity (20-fold and >33-fold in biochemical and cell-based assays, respectively). Features of the X-ray structures of 4 in complex with both JAK1 and JAK2 are delineated. Efforts to improve the in vitro and in vivo ADME properties of 4 while maintaining JAK1 selectivity are described, culminating in the discovery of a highly optimized and balanced inhibitor (20). Details of the biological characterization of 20 are disclosed including JAK1 vs JAK2 selectivity levels, preclinical in vivo PK profiles, performance in an in vivo JAK1-mediated PK/PD model, and attributes of an X-ray structure in complex with JAK1.

Potent and selective aminopyrimidine-based B-Raf inhibitors with favorable physicochemical and pharmacokinetic properties.

Recent clinical data provided proof-of-concept for selective B-Raf inhibitors in treatment of B-Raf(V600E) mutant melanoma. Pyrazolopyridine-type B-Raf inhibitors previously described by the authors are potent and selective but exhibit low solubility requiring the use of amorphous dispersion-based formulation for achieving efficacious drug exposures. Through structure-based design, we discovered a new class of highly potent aminopyrimidine-based B-Raf inhibitors with improved solubility and pharmacokinetic profiles. The hinge binding moiety possesses a basic center imparting high solubility at gastric pH, addressing the dissolution limitation observed with our previous series. In our search for an optimal linker-hinge binding moiety system, amide-linked thieno[3,2-d]pyrimidine analogues 32 and 35 (G945), molecules with desirable physicochemical properties, emerged as lead compounds with strong efficacy in a B-Raf(V600E) mutant mouse xenograft model. Synthesis, SAR, lead selection, and evaluation of key compounds in animal studies will be described.

A new regulatory switch in a JAK protein kinase.

Members of the JAK family of protein kinases mediate signal transduction from cytokine receptors to transcription factor activation. Over-stimulation of these pathways is causative in immune disorders like rheumatoid arthritis, psoriasis, lupus, and Crohn's disease. A search for selective inhibitors of a JAK kinase has led to our characterization of a previously unknown kinase conformation arising from presentation of Tyr962 of TYK2 to an inhibitory small molecule via an H-bonding interaction. A small minority of protein kinase domains has a Tyrosine residue in this position within the αC-ß4 loop, and it is the only amino acid commonly seen here with H-bonding potential. These discoveries will aid design of inhibitors that discriminate among the JAK family and more widely among protein kinases.

Identification of orally bioavailable, non-amidine inhibitors of Urokinase Plasminogen Activator (uPA).

In this Letter we report the synthesis and evaluation of a series of non-amidine inhibitors of Urokinase Plasminogen Activator (uPA). Starting from compound 1, a significant change provided compounds in which the amidine, binding in the S1 pocket, was replaced with a primary amine. Further modifications led to the identification of potent, selective, and orally bioavailable uPA inhibitors.