Using SCENTinel® to predict SARS-CoV-2 infection: insights from a community sample during dominance of Delta and Omicron variants.

Introduction: Based on a large body of previous research suggesting that smell loss was a predictor of COVID-19, we investigated the ability of SCENTinel®, a newly validated rapid olfactory test that assesses odor detection, intensity, and identification, to predict SARS-CoV-2 infection in a community sample.

Methods: Between April 5, 2021, and July 5, 2022, 1,979 individuals took one SCENTinel® test, completed at least one physician-ordered SARS-CoV-2 PCR test, and endorsed a list of self-reported symptoms.

Results: Among the of SCENTinel® subtests, the self-rated odor intensity score, especially when dichotomized using a previously established threshold, was the strongest predictor of SARS-CoV-2 infection.

Effect of Complementary Interventions to Redesign Care on Teamwork and Quality for Hospitalized Medical Patients : A Pragmatic Controlled Trial.

Background: Multiple challenges impede interprofessional teamwork and the provision of high-quality care to hospitalized patients.

Objective: To evaluate the effect of interventions to redesign hospital care delivery on teamwork and patient outcomes.

Design: Pragmatic controlled trial.

What works in medication reconciliation: an on-treatment and site analysis of the MARQUIS2 study.

Background: The second Multicenter Medication Reconciliation Quality Improvement Study demonstrated a marked reduction in medication discrepancies per patient. The aim of the current analysis was to determine the association of patient exposure to each system-level intervention and receipt of each patient-level intervention on these results.

Methods: This study was conducted at 17 North American Hospitals, the study period was 18 months per site, and sites typically adopted interventions after 2-5 months of preintervention data collection.

Learning about injury severity from no-injury crashes: A random parameters with heterogeneity in means and variances approach.

The traditional approach to injury-severity analyses does not allow in-depth understanding of no-injury crashes, as crash factors found to contribute to the various injury severities may have similar effects on the severity of vehicle damage even if no injury is recorded. Viewing no-injury crashes using the vehicle damage severities as sub-categories and bases for potential injuries can improve understanding of future injury crashes. To better understand the mechanism of no-injury crashes and the crash factors that contribute to the extent of vehicle damage beyond the single categorization of these crashes in injury severity analysis, this study presents a vehicle damage severity analysis for no-injury crashes.

A scoping review of new implementations of interprofessional bedside rounding models to improve teamwork, care, and outcomes in hospitals.

Poor communication within healthcare teams occurs commonly, contributing to inefficiency, medical errors, conflict, and other adverse outcomes. Interprofessional bedside rounds (IBR) are a promising model that brings two or more health professions together with patients and families as part of a consistent, team-based routine to share information and collaboratively arrive at a daily plan of care. The purpose of this systematic scoping review was to investigate the breadth and quality of IBR literature to identify and describe gaps and opportunities for future research.

A comparative analysis of freeway crash incident clearance time using random parameter and latent class hazard-based duration model.

The effects of freeway incident clearance times on the flow of traffic have recently increased interests in understanding what factors influence incident durations. This has particularly become topical due to the financial and economic implications of traffic gridlocks caused by freeway incidents on industries and personal mobility. This paper presents two advanced econometric modeling methods, random parameters duration modeling and latent class duration modeling in understanding the factors that impact freeway incident clearance times in the State of Alabama.

The Effect of Reducing Intravenous Push Opioid Use on Hospital Medicine Patients' Pain Experience During Hospitalization.

Objective: To determine the efficacy of a program to limit the use of the intravenous (IV) push route for opioids on the experience of pain by inpatients and on associated safety events.

Design: Retrospective cohort study.

Setting: Two inpatient general medicine floor units at an urban tertiary care academic medical center.

A Multisite Study of Interprofessional Teamwork and Collaboration on General Medical Services.

Background: Teamwork and collaboration are essential to providing high-quality care. Prior research has found discrepancies between nurses' and physicians' perceptions in operating rooms, ICUs, and labor and delivery units. Less is known about health care professionals' perceptions of teamwork and collaboration on general medical services.

Lanthanide-Binding Tags for 3D X-ray Imaging of Proteins in Cells at Nanoscale Resolution.

We report the application of lanthanide-binding tags (LBTs) for two- and three-dimensional X-ray imaging of individual proteins in cells with a sub-15 nm beam. The method combines encoded LBTs, which are tags of minimal size (ca. 15-20 amino acids) affording high-affinity lanthanide ion binding, and X-ray fluorescence microscopy (XFM).

Design of MARQUIS2: study protocol for a mentored implementation study of an evidence-based toolkit to improve patient safety through medication reconciliation.

Background: The first Multi-center Medication Reconciliation Quality Improvement Study (MARQUIS1) demonstrated that implementation of a medication reconciliation best practices toolkit decreased total unintentional medication discrepancies in five hospitals. We sought to implement the MARQUIS toolkit in more diverse hospitals, incorporating lessons learned from MARQUIS1.

Methods: MARQUIS2 is a pragmatic, mentored implementation QI study which collected clinical and implementation outcomes.

X-ray Fluorescence Nanotomography of Single Bacteria with a Sub-15 nm Beam.

X-ray Fluorescence (XRF) microscopy is a growing approach for imaging the trace element concentration, distribution, and speciation in biological cells at the nanoscale. Moreover, three-dimensional nanotomography provides the added advantage of imaging subcellular structure and chemical identity in three dimensions without the need for staining or sectioning of cells. To date, technical challenges in X-ray optics, sample preparation, and detection sensitivity have limited the use of XRF nanotomography in this area.

Multilevel analysis of the role of human factors in regional disparities in crash outcomes.

A growing body of research has examined the disparities in road traffic safety among population groups and geographic regions. These studies reveal disparities in crash outcomes between people and regions with different socioeconomic characteristics. A critical aspect of the road traffic crash epidemic that has received limited attention is the influence of local characteristics on human elements that increase the risk of getting into a crash.

Association of hospital admission service structure with early transfer to critical care, hospital readmission, and length of stay.

Background: Hospital medical groups use various staffing models that may systematically affect care continuity during the admission process.

Objective: To compare the effect of 2 hospitalist admission service models ("general" and "admitter-rounder") on patient disposition and length of stay.

Design: Retrospective observational cohort study with difference-in-difference analysis.

How the choice of safety performance function affects the identification of important crash prediction variables.

Across the nation, researchers and transportation engineers are developing safety performance functions (SPFs) to predict crash rates and develop crash modification factors to improve traffic safety at roadway segments and intersections. Generalized linear models (GLMs), such as Poisson or negative binomial regression, are most commonly used to develop SPFs with annual average daily traffic as the primary roadway characteristic to predict crashes. However, while more complex to interpret, data mining models such as boosted regression trees have improved upon GLMs crash prediction performance due to their ability to handle more data characteristics, accommodate non-linearities, and include interaction effects between the characteristics.

The effect of tablet computers with a mobile patient portal application on hospitalized patients' knowledge and activation.

Objective: To assess the effect of tablet computers with a mobile patient portal application on hospitalized patients' knowledge and activation.

Methods: We developed a mobile patient portal application including pictures, names, and role descriptions of team members, scheduled tests and procedures, and a list of active medications. We evaluated the effect of the application using a controlled trial involving 2 similar units in a large teaching hospital.

Characterization of Protein Structural Changes in Living Cells Using Time-Lapsed FTIR Imaging.

Fourier-transform infrared (FTIR) spectroscopic imaging is a widely used method for studying the chemistry of proteins, lipids, and DNA in biological systems without the need for additional tagging or labeling. This technique can be especially powerful for spatially resolved, temporal studies of dynamic changes such as in vivo protein folding in cell culture models. However, FTIR imaging experiments have typically been limited to dry samples as a result of the significant spectral overlap between water and the protein Amide I band centered at 1650 cm(-1).

Dynamic full-field infrared imaging with multiple synchrotron beams.

Microspectroscopic imaging in the infrared (IR) spectral region allows for the examination of spatially resolved chemical composition on the microscale. More than a decade ago, it was demonstrated that diffraction-limited spatial resolution can be achieved when an apertured, single-pixel IR microscope is coupled to the high brightness of a synchrotron light source. Nowadays, many IR microscopes are equipped with multipixel Focal Plane Array (FPA) detectors, which dramatically improve data acquisition times for imaging large areas.

FTIR spectroscopic imaging of protein aggregation in living cells.

Protein misfolding and aggregation are the hallmark of a number of diseases including Alzheimer's disease, Parkinson's disease, Huntington's disease, amyotrophic lateral sclerosis, and the prion diseases. In all cases, a naturally-occurring protein misfolds and forms aggregates that are thought to disrupt cell function through a wide range of mechanisms that are yet to be fully unraveled. Fourier transform infrared (FTIR) spectroscopy is a technique that is sensitive to the secondary structure of proteins and has been widely used to investigate the process of misfolding and aggregate formation.

Discovery of novel allosteric modulators of metabotropic glutamate receptor subtype 5 reveals chemical and functional diversity and in vivo activity in rat behavioral models of anxiolytic and antipsychotic activity.

Modulators of metabotropic glutamate receptor subtype 5 (mGluR5) may provide novel treatments for multiple central nervous system (CNS) disorders, including anxiety and schizophrenia. Although compounds have been developed to better understand the physiological roles of mGluR5 and potential usefulness for the treatment of these disorders, there are limitations in the tools available, including poor selectivity, low potency, and limited solubility. To address these issues, we developed an innovative assay that allows simultaneous screening for mGluR5 agonists, antagonists, and potentiators.

Mouse BMD quantitative trait loci show improved concordance with human genome-wide association loci when recalculated on a new, common mouse genetic map.

Bone mineral density (BMD) is a heritable trait, and in mice, over 100 quantitative trait loci (QTLs) have been reported, but candidate genes have been identified for only a small percentage. Persistent errors in the mouse genetic map have negatively affected QTL localization, spurring the development of a new, corrected map. In this study, QTLs for BMD were remapped in 11 archival mouse data sets using this new genetic map.

Quantitative trait locus analysis using J/qtl.

Quantitative trait locus (QTL) analysis is a statistical method to link phenotypes with regions of the genome that affect the phenotypes in a mapping population. R/qtl is a powerful statistical program commonly used for analyzing rodent QTL crosses, but R/qtl is a command line program that can be difficult for novice users to run. J/qtl was developed as an R/qtl graphical user interface that enables even novice users to utilize R/qtl for QTL analyses.