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A 22-year-old man with bipolar disorder and anxiety presented with fevers, chills, nausea, vomiting, and a non-productive cough for four days. He reported a fever up to 40°C at home and an inabilit...

Case Presentation A 33-year-old man with ulcerative colitis (UC) and primary sclerosing cholangitis presented with worsening shortness of breath, nonproductive cough, and intermittent fevers after he was found to have a WBC count of 27,000 cells/μL on an outpatient laboratory evaluation. He reported feeling progressively unwell with intermittent right upper quadrant pain and shortness of breath since a hospital admission for a UC flare 6 months prior, during which he was first diagnosed with primary sclerosing cholangitis. He noted that prior to that admission 6 months ago, his UC had been in remission for > 10 years. He reported fevers up to 38.9°C on and off for several weeks but was afebrile (37.2°C) on presentation. He endorsed non-bloody diarrhea, chills, night sweats, leg swelling, and associated leg pain. He had a cough but denied sputum production. He reported no recent travels and denied sick contacts. His medications included mesalamine, ursodiol, montelukast, and an albuterol inhaler.

Inpatient early mobility initiatives are effective therapeutic interventions for improving patient outcomes and decreasing use of hospital resources among adult ICU and general medicine patients. To establish and demonstrate guidelines for early patient ambulation, we developed and implemented a novel multidisciplinary mobility bundle utilizing the JH-HLM (Johns Hopkins Highest Level of Mobility) scale for mobility classification, on a single adult general medicine unit of a community hospital. Our results show that patients admitted to the unit after implementation of the mobility bundle had improved mobility scores, reduced rates of 30-day hospital readmission, and a shortened length of hospital stay. This study emphasizes the importance of measuring mobility using a systematic method, easing workflow among unit practitioners, and allowing mobility initiatives to be jointly driven by nursing, physical therapy, and physicians.

Quantitative gene expression profiling of cardiac allografts characterizes the phenotype of the alloimmune response, yields information regarding differential effects that may be associated with various anti-rejection drug regimens, and generates testable hypotheses regarding the pathogenesis of the chronic rejection lesions typically observed in non-human primate heart transplant models. The goal of this study was to assess interplatform performance and variability between the relatively novel NanoString nCounter Analysis System, ΔΔCT (relative) RT-qPCR, and standard curve (absolute) RT-qPCR utilizing cynomolgus monkey cardiac allografts. Methods for RNA isolation and preamplification were also systematically evaluated and effective methods are proposed. In this study, we demonstrate strong correlation between the two RT-qPCR methods, but variable and, at times, weak correlation between RT-qPCR and NanoString. NanoString fold change results demonstrate less sensitivity to small changes in gene expression than RT-qPCR. These findings appear to be driven by technical aspects of each platform that influence the conditions under which each technique is ideal. Collectively, our data contribute to the general effort to optimally utilize gene expression profiling techniques, not only for transplanted tissues, but for many other applications where accurate rank-order of gene expression versus precise quantification of absolute gene transcript number may be relatively valuable.