Considering pharmacy workflow in the context of Australian community pharmacy: A pilot time and motion study

Background

Given time pressures on primary care physicians, utilising pharmacists for chronic disease management is of great interest. However, limited data are available on the current workflow in community pharmacies to guide these discussions.

Use of a linearization approximation facilitating stochastic model building

The objective of this work was to facilitate the development of nonlinear mixed effects models by establishing a diagnostic method for evaluation of stochastic model components. The random effects investigated were between subject, between occasion and residual variability. The method was based on a first-order conditional estimates linear approximation and evaluated on three real datasets with previously developed population pharmacokinetic models. The results were assessed based on the agreement in difference in objective function value between a basic model and extended models for the standard nonlinear and linearized approach respectively. The linearization was found to accurately identify significant extensions of the model’s stochastic components with notably decreased runtimes as compared to the standard nonlinear analysis. The observed gain in runtimes varied between four to more than 50-fold and the largest gains were seen for models with originally long runtimes. This method may be especially useful as a screening tool to detect correlations between random effects since it substantially quickens the estimation of large variance–covariance blocks. To expedite the application of this diagnostic tool, the linearization procedure has been automated and implemented in the software package PsN.     

Risk of Positive Nonsentinel Nodes in Women with 1–2 Positive Sentinel Nodes Related to Age and Molecular Subtype Approximated by Receptor Status

We examine risk of positive nonsentinel axillary nodes (NSN) and ≥4 positive nodes in patients with 1–2 positive sentinel nodes (SN) by age and tumor subtype approximated by ER, PR, and Her2 receptor status. Review of two institutional databases demonstrated 284 women undergoing breast conservation between 1997 and 2008 for T1‐2 tumors and 1 (229) or 2 (55) positive SN followed by completion dissection. The median number of SN and total axillary nodes removed were 2 (range 1–10) and 14 (range 6–37), respectively. The rate of positive NSNs (p = 0.5) or ≥4 positive nodes (p = 0.6) was not associated with age. NSN were positive in 36% of luminal A, 26% of luminal B, 21% of TN and 38% of Her2+ (p = 0.4). Four or more nodes were present in 17% of luminal A, 13% luminal of B, 0% of TN and 29% of Her2+ (p = 0.1). Microscopic extracapsular extension was significantly associated with having NSNs positive (55% versus 24%, p < 0.0001) and with having total ≥4 nodes positive (33% versus 7%, p < 0.0001). In a population that was largely eligible for ACOSOG Z0011, the risk of positive NSN or ≥4 positive nodes did not vary significantly by age. The TN subgroup had the lowest risk of both positive NSN or ≥4 positive nodes. Several high risk groups with >15% risk for having ≥4 positive nodes were identified. Further data is needed to confirm that ACOSOG Z0011 results are equally applicable to all molecular phenotypes.     

Expression of Phosphofructokinase in Skeletal Muscle Is Influenced by Genetic Variation and Associated With Insulin Sensitivity

Using an integrative approach in which genetic variation, gene expression, and clinical phenotypes are assessed in relevant tissues may help functionally characterize the contribution of genetics to disease susceptibility. We sought to identify genetic variation influencing skeletal muscle gene expression (expression quantitative trait loci [eQTLs]) as well as expression associated with measures of insulin sensitivity. We investigated associations of 3,799,401 genetic variants in expression of >7,000 genes from three cohorts (n = 104). We identified 287 genes with cis-acting eQTLs (false discovery rate [FDR] <5%; P < 1.96 × 10⁻⁵) and 49 expression–insulin sensitivity phenotype associations (i.e., fasting insulin, homeostasis model assessment–insulin resistance, and BMI) (FDR <5%; P = 1.34 × 10⁻⁴). One of these associations, fasting insulin/phosphofructokinase (PFKM), overlaps with an eQTL. Furthermore, the expression of PFKM, a rate-limiting enzyme in glycolysis, was nominally associated with glucose uptake in skeletal muscle (P = 0.026; n = 42) and overexpressed (Bonferroni-corrected P = 0.03) in skeletal muscle of patients with T2D (n = 102) compared with normoglycemic controls (n = 87). The PFKM eQTL (rs4547172; P = 7.69 × 10⁻⁶) was nominally associated with glucose uptake, glucose oxidation rate, intramuscular triglyceride content, and metabolic flexibility (P = 0.016–0.048; n = 178). We explored eQTL results using published data from genome-wide association studies (DIAGRAM and MAGIC), and a proxy for the PFKM eQTL (rs11168327; r² = 0.75) was nominally associated with T2D (DIAGRAM P = 2.7 × 10⁻³). Taken together, our analysis highlights PFKM as a potential regulator of skeletal muscle insulin sensitivity.     

Driver Rehabilitation Programs: Defining Program Models,Services, and Expertise

This paper highlights the critical need for a diverse span of services targeted at older drivers that is clear and understandable to health care professionals, service providers, and consumers. The paper describes how a panel of expert driver rehabilitation specialists and researchers on older drivers affirmed consensus statements addressing the need for clarification of terms and services. It also presents a new document that describes a spectrum of driver services from education to specific driver rehabilitation services. The document will provide consumers, referral sources, payers, and stakeholders invested in older drivers’ services, with the information to refer the right people to the right service at the right time.     

Perivascular Neuropilin-1 expression is an independent marker of improved survival in renal cell carcinoma

Renal cell carcinoma (RCC) treatment has improved in the last decade with the introduction of drugs targeting tumor angiogenesis. However, the 5-year survival of metastatic disease is still only 10–15%. Here, we explored the prognostic significance of compartment-specific expression of Neuropilin 1 (NRP1), a co-receptor for vascular endothelial growth factor (VEGF). NRP1 expression was analyzed in RCC tumor vessels, in perivascular tumor cells, and generally in the tumor cell compartment. Moreover, complex formation between NRP1 and the main VEGF receptor, VEGFR2, was determined. Two RCC tissue microarrays were used; a discovery cohort consisting of 64 patients and a validation cohort of 314 patients. VEGFR2/NRP1 complex formation in cis (on the same cell) and trans (between cells) configurations was determined by in situ proximity ligation assay (PLA), and NRP1 protein expression in three compartments (endothelial cells, perivascular tumor cells, and general tumor cell expression) was determined by immunofluorescent staining. Expression of NRP1 in perivascular tumor cells was explored as a marker for RCC survival in the two RCC cohorts. Results were further validated using a publicly available gene expression dataset of clear cell RCC (ccRCC). We found that VEGFR2/NRP1 trans complexes were detected in 75% of the patient samples. The presence of trans VEGFR2/NRP1 complexes or perivascular NRP1 expression was associated with a reduced tumor vessel density and size. When exploring NRP1 as a biomarker for RCC prognosis, perivascular NRP1 and general tumor cell NRP1 protein expression correlated with improved survival in the two independent cohorts, and significant results were obtained also at the mRNA level using the publicly available ccRCC gene expression dataset. Only perivascular NRP1 expression remained significant in multivariable analysis. Our work shows that perivascular NRP1 expression is an independent marker of improved survival in RCC patients, and reduces tumor vascularization by forming complexes in trans with VEGFR2 in the tumor endothelium. © 2019 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.