UHSP Collections (University of Health Sciences and Pharmacy)
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    1490 research outputs found

    Fire Safety Policy

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    The purpose of this safety policy and procedure is to establish the methods and accountability for fire protection and safety at University of Health Sciences and Pharmacy in St. Louis

    Learning the heterogeneous bibliographic information network for literature-based discovery

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    This paper presents HBIN-LBD, a novel literature-based discovery (LBD) method that exploits the lexico-citation structures within the heterogeneous bibliographic information network (HBIN) graphs. Unlike other existing LBD methods, HBIN-LBD harnesses the metapath features found in HBIN graphs for discovering the latent associations between scientific papers published in otherwise disconnected research areas. Further, this paper investigates the effects of incorporating semantic and topic modeling components into the proposed models. Using time-sliced historical bibliographic data, we demonstrate the performance of our method by reconstructing two LBD hypotheses: the Fish Oil and Raynaud\u27s Syndrome hypothesis and the Migraine and Magnesium hypothesis. The proposed method is capable of predicting the future co-citation links between research papers of these previously disconnected research areas with up to 88.86% accuracy and 0.89 F-measure

    Alcohol in Residence Hall Policy

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    This Policy sets forth the University\u27s rules and regulations to support responsible consumption and possession of alcohol for students and their guests in the Residence Hall. Applies to students residing in the South Residence Hall and their guests

    Service and Emotional Support Animals Policy and Guidelines - Interim

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    This document explains University of Health Sciences and Pharmacy in St. Louis\u27 policy toward animals utilized for disability purposes. It is the purpose of these guidelines to articulate the conditions under which such animals are permitted access to University grounds and facilities

    Chemical Inventory Guidelines

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    In order to comply with numerous regulatory requirements, the University of Health Sciences and Pharmacy in St. Louis must compile an annual inventory identifying the location (building and room) and quantity of all hazardous materials on campus. We have implemented an on-line inventory system known as MSDS Online (now known as Velocity EHS), which will be used to aide in the fulfillment of all regulatory requirements. This policy applies to all UHSP investigators, faculty, staff, visiting scientists, postdoctoral fellows, students, scholars, and any other person working at or for UHSP

    Predicting probable Alzheimer\u27s disease using linguistic deficits and biomarkers

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    Background: The manual diagnosis of neurodegenerative disorders such as Alzheimer\u27s disease (AD) and related Dementias has been a challenge. Currently, these disorders are diagnosed using specific clinical diagnostic criteria and neuropsychological examinations. The use of several Machine Learning algorithms to build automated diagnostic models using low-level linguistic features resulting from verbal utterances could aid diagnosis of patients with probable AD from a large population. For this purpose, we developed different Machine Learning models on the DementiaBank language transcript clinical dataset, consisting of 99 patients with probable AD and 99 healthy controls. Results: Our models learned several syntactic, lexical, and n-gram linguistic biomarkers to distinguish the probable AD group from the healthy group. In contrast to the healthy group, we found that the probable AD patients had significantly less usage of syntactic components and significantly higher usage of lexical components in their language. Also, we observed a significant difference in the use of n-grams as the healthy group were able to identify and make sense of more objects in their n-grams than the probable AD group. As such, our best diagnostic model significantly distinguished the probable AD group from the healthy elderly group with a better Area Under the Receiving Operating Characteristics Curve (AUC) using the Support Vector Machines (SVM). Conclusions: Experimental and statistical evaluations suggest that using ML algorithms for learning linguistic biomarkers from the verbal utterances of elderly individuals could help the clinical diagnosis of probable AD. We emphasise that the best ML model for predicting the disease group combines significant syntactic, lexical and top n-gram features. However, there is a need to train the diagnostic models on larger datasets, which could lead to a better AUC and clinical diagnosis of probable AD

    Elevated voriconazole level associated with hallucinations and suicidal ideation: A case report

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    Voriconazole, a broad-spectrum antifungal, has been associated with visual and auditory hallucinations. We report the case of patient being treated with voriconazole for pulmonary aspergillosis who developed visual hallucinations and new suicidal ideation with plan. Voriconazole troughs were supratherapeutic (9.0 mcg/mL) and the patient was positive for the CYP2C19*1/*2 allele

    Effect of a rivaroxaban patient assistance kit (r-pak) for patients discharged with rivaroxaban: A randomized controlled trial

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    Background: The combination of poor health literacy and a complex dosing regimen/transition for rivaroxaban in venous thromboembolism (VTE) treatment may increase the likelihood of negative clinical outcomes secondary to nonadherence. Objective: The aim was to determine if a Rivaroxaban Patient Assistance Kit (R-PAK) given at hospital discharge increases proper dose transition and overall patient adherence. Methods: This prospective, randomized, controlled trial was conducted at an 859-bed academic medical center. Patients were randomized into 2 groups. In the treatment group, patients received the R-PAK with counseling at discharge, whereas patients in the control group received discharge counseling alone. In addition, patients were contacted after 21 days of therapy to assess dose transition, adherence, satisfaction, and safety. The primary outcome was percentage of patients who properly transitioned to rivaroxaban once daily on day 22. Results: Twenty-five patients were enrolled; 12 received an R-PAK, whereas 13 comprised the control group. No difference in the baseline assessment of health literacy status was noted (P = 1.00). Proper transition to daily administration on day 22 was no different between the groups (P = .891). Adherence was reported in 99.8% of R-PAK patients and 97.65% of control patients (P = .074). Side effects were rarely reported. Conclusions: The use of an R-PAK for the treatment of VTE was not associated with an improvement in transition to daily administration; however, both groups had high rates of overall adherence. Pharmacist counseling/education was provided in both groups and is an important component to include in any patient discharge, especially for medications with dose transitions

    Evaluation of Apixaban for the Treatment of Nonvalvular Atrial Fibrillation with Regard to Dosing and Safety in a Community Hospital

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    Background: Apixaban, a direct factor Xa inhibitor, is approved by the US Food and Drug Administration (FDA) for prevention of stroke and systemic embolism in nonvalvular atrial fibrillation. Apixaban\u27s compelling safety and efficacy data, combined with minimal laboratory monitoring, make it an attractive anticoagulant. Objectives: To characterize and evaluate the dosing and safety of apixaban for the treatment of nonvalvular atrial fibrillation at a community hospital. Design/Patients: A retrospective chart review evaluated patients ≥18 years of age who received at least 2 consecutive doses of apixaban from January 1, 2013 to June 30, 2016. Patients with multiple admissions were evaluated for each hospitalization. Patients were excluded if height, weight, or serum creatinine was not documented during hospital admission. Patients who received apixaban for the treatment or prophylaxis of venous thromboembolism were excluded. Prescribing patterns were characterized based on FDA-approved dosing regimens and patient demographics. Safety outcomes included incidences of major, clinically relevant nonmajor, and minor bleeding. Results: Of the 707 patients evaluated, 82% received an FDA-approved apixaban regimen. Of the 127 patients (18%) who received an unapproved regimen, 5.5% (7 patients) received an unapproved frequency and 94.5% (120 patients) received an unapproved dose. The majority (98 patients, 81.7%) were underdosed. Composite bleeding rates were 2.7%, with 1.8% major bleeds, 0.7% clinically relevant nonmajor bleeds, and 0.1% minor bleeds. Conclusions: The use of apixaban must be monitored in order to ensure FDA-approved dosing regimens are being prescribed and patients are not being underdosed

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