766 research outputs found

    Predicting Patient Patterns in Veterans Administration Emergency Departments

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    Veteran’s Affairs (VA) hospitals represent a unique patient population within the healthcare system; for example, they have few female and pediatric patients, typically do not see many trauma cases and often do not accept ambulance runs. As such, veteran-specific studies are required to understand the particular needs and stumbling blocks of VA emergency department (ED) care. The purpose of this paper is to analyze the demographics of patients served at VA EDs and compare them to the national ED population at large. Our analysis reveals that the VA population exhibits a similar set of common chief complaints to the national ED population (and in similar proportions) and yet differs from the general population in many ways. For example, the VA treats an older, predominantly male population, and encounters a much lower incidence of trauma. Perhaps most significantly, the incidence of psychiatric disease at the VA is more than double that of the general population (10% vs. 4%) and accounts for a significant proportion of admissions (23%). Furthermore, the overall admission percentage at the VA hospital is nearly three times that of the ED population at large (36% versus 13%). This paper provides valuable insight into the make-up of a veteran’s population and can guide staffing and resource allocation accordingly

    Association of Stromal Tumor-Infiltrating Lymphocytes With Recurrence-Free Survival in the N9831 Adjuvant Trial in Patients With Early-Stage HER2-Positive Breast Cancer

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    Importance The presence of tumor-infiltrating lymphocytes at diagnosis is reported to be prognostic in triple-negative breast cancer. Objective To evaluate the association of stromal tumor-infiltrating lymphocytes (STILs) with recurrence-free survival (RFS) in women with human epidermal growth factor receptor 2 (HER2)–positive breast cancer treated with chemotherapy or chemotherapy plus trastuzumab in the N9831 trial. Design, Setting, and Participants Hematoxylin-eosin–stained tumor slides from patients with early-stage HER2-positive breast cancer in 2 of the 3 arms of the N9831 trial were assessed for STILs at an academic medical center. The amounts of STILs were quantitated in deciles, and a level of at least 60% STILs was used for the prespecified categorical cutoff. The association between STILs and RFS was evaluated with Cox models. Exposure Standard chemotherapy consisting of doxorubicin-cyclophosphamide followed by weekly paclitaxel (arm A) or doxorubicin-cyclophosphamide followed by weekly paclitaxel plus trastuzumab followed by trastuzumab alone (arm C). Main Outcomes and Measures Stromal tumor-infiltrating lymphocytes and their association with RFS. Results A total of 489 patients from arm A and 456 patients from arm C were assessed with a median (range) follow-up of 4.4 (0-13.6) years. The 10-year Kaplan-Meier estimates for RFS in arm A were 90.9% and 64.5% for patients with high and low levels of STILs, respectively (hazard ratio [HR], 0.23 [95% CI, 0.07-0.73]; P = .01). The 10-year estimates for RFS in arm C were 80.0% and 80.1% for patients with high and low levels of STILs, respectively (HR, 1.26 [95% CI, 0.50-3.17]; P = .63). The test for interaction between trastuzumab treatment and STIL status was statistically significant (P = .03). In a multivariable analysis, STIL status remained significantly associated with RFS in arm A and not significantly associated in arm C (HR, 1.01 [95% CI, 0.89-1.15]; interaction P = .04). Conclusions and Relevance This analysis of participants in the N9831 trial found that the presence of STILs was prognostically associated with RFS in patients treated with chemotherapy alone but not in patients treated with chemotherapy plus trastuzumab. High levels of STILs were associated with lack of trastuzumab therapy benefit, in contrast to a previously reported association between increased levels of STILs and increased trastuzumab benefit in HER2-positive patients

    The vulnerability of public spaces: challenges for UK hospitals under the 'new' terrorist threat

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    This article considers the challenges for hospitals in the United Kingdom that arise from the threats of mass-casualty terrorism. Whilst much has been written about the role of health care as a rescuer in terrorist attacks and other mass-casualty crises, little has been written about health care as a victim within a mass-emergency setting. Yet, health care is a key component of any nation's contingency planning and an erosion of its capabilities would have a significant impact on the generation of a wider crisis following a mass-casualty event. This article seeks to highlight the nature of the challenges facing elements of UK health care, with a focus on hospitals both as essential contingency responders under the United Kingdom's civil contingencies legislation and as potential victims of terrorism. It seeks to explore the potential gaps that exist between the task demands facing hospitals and the vulnerabilities that exist within them

    First Dark Matter Limits from a Large-Mass, Low-Background Superheated Droplet Detector

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    We report on the fabrication aspects and calibration of the first large active mass (∼15\sim15 g) modules of SIMPLE, a search for particle dark matter using Superheated Droplet Detectors (SDDs). While still limited by the statistical uncertainty of the small data sample on hand, the first weeks of operation in the new underground laboratory of Rustrel-Pays d'Apt already provide a sensitivity to axially-coupled Weakly Interacting Massive Particles (WIMPs) competitive with leading experiments, confirming SDDs as a convenient, low-cost alternative for WIMP detection.Comment: Final version, Phys. Rev. Lett. (in press

    Intrinsic Subtype and Therapeutic Response Among HER2-Positive Breast Tumors from the NCCTG (Alliance) N9831 Trial

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    Background: Genomic data from human epidermal growth factor receptor 2–positive (HER2+) tumors were analyzed to assess the association between intrinsic subtype and clinical outcome in a large, well-annotated patient cohort
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